From 6ef650d84d66fd7b58bbfb63ab638a39cc1d7ae4 Mon Sep 17 00:00:00 2001 From: Stephanie Wang Date: Tue, 2 Jun 2020 16:50:06 -0400 Subject: [PATCH] feat: revert "feat: deprecate v1beta1 client" (#209) Reverts googleapis/java-automl#206 --- README.md | 2 +- google-cloud-automl-bom/pom.xml | 10 + .../clirr-ignored-differences.xml | 5 - google-cloud-automl/pom.xml | 9 + .../cloud/automl/v1beta1/AutoMlClient.java | 3497 ++++++ .../cloud/automl/v1beta1/AutoMlSettings.java | 589 + .../v1beta1/PredictionServiceClient.java | 673 ++ .../v1beta1/PredictionServiceSettings.java | 207 + .../cloud/automl/v1beta1/package-info.java | 73 + .../cloud/automl/v1beta1/stub/AutoMlStub.java | 262 + .../v1beta1/stub/AutoMlStubSettings.java | 1604 +++ .../stub/GrpcAutoMlCallableFactory.java | 115 + .../automl/v1beta1/stub/GrpcAutoMlStub.java | 1071 ++ .../GrpcPredictionServiceCallableFactory.java | 115 + .../stub/GrpcPredictionServiceStub.java | 209 + .../v1beta1/stub/PredictionServiceStub.java | 62 + .../stub/PredictionServiceStubSettings.java | 346 + .../automl/v1beta1/AutoMlClientTest.java | 1269 ++ .../cloud/automl/v1beta1/MockAutoMl.java | 57 + .../cloud/automl/v1beta1/MockAutoMlImpl.java | 412 + .../automl/v1beta1/MockPredictionService.java | 57 + .../v1beta1/MockPredictionServiceImpl.java | 88 + .../v1beta1/PredictionServiceClientTest.java | 185 + .../clirr-ignored-differences.xml | 10 + grpc-google-cloud-automl-v1beta1/pom.xml | 60 + .../cloud/automl/v1beta1/AutoMlGrpc.java | 3194 +++++ .../automl/v1beta1/PredictionServiceGrpc.java | 592 + pom.xml | 12 + .../cloud/automl/v1/AnnotationPayload.java | 34 - .../cloud/automl/v1/AnnotationSpec.java | 6 - .../automl/v1/BatchPredictInputConfig.java | 6 - .../v1/BatchPredictOperationMetadata.java | 8 - .../automl/v1/BatchPredictOutputConfig.java | 6 - .../cloud/automl/v1/BatchPredictRequest.java | 18 - .../cloud/automl/v1/BatchPredictResult.java | 10 - .../automl/v1/BoundingBoxMetricsEntry.java | 17 - .../google/cloud/automl/v1/BoundingPoly.java | 5 - .../automl/v1/ClassificationAnnotation.java | 2 - .../v1/ClassificationEvaluationMetrics.java | 48 - .../cloud/automl/v1/ClassificationType.java | 4 - .../cloud/automl/v1/CreateDatasetRequest.java | 5 - .../cloud/automl/v1/CreateModelRequest.java | 5 - .../com/google/cloud/automl/v1/Dataset.java | 59 - .../cloud/automl/v1/DeleteDatasetRequest.java | 2 - .../cloud/automl/v1/DeleteModelRequest.java | 2 - .../cloud/automl/v1/DeployModelRequest.java | 14 - .../com/google/cloud/automl/v1/Document.java | 33 - .../cloud/automl/v1/DocumentDimensions.java | 13 - .../cloud/automl/v1/DocumentInputConfig.java | 3 - .../cloud/automl/v1/ExamplePayload.java | 18 - .../v1/ExportDataOperationMetadata.java | 5 - .../cloud/automl/v1/ExportDataRequest.java | 5 - .../v1/ExportModelOperationMetadata.java | 5 - .../cloud/automl/v1/ExportModelRequest.java | 5 - .../cloud/automl/v1/GcsDestination.java | 2 - .../automl/v1/GetAnnotationSpecRequest.java | 2 - .../cloud/automl/v1/GetDatasetRequest.java | 2 - .../automl/v1/GetModelEvaluationRequest.java | 2 - .../cloud/automl/v1/GetModelRequest.java | 2 - .../com/google/cloud/automl/v1/Image.java | 3 - .../ImageClassificationDatasetMetadata.java | 5 - ...ClassificationModelDeploymentMetadata.java | 2 - .../v1/ImageClassificationModelMetadata.java | 14 - .../v1/ImageObjectDetectionAnnotation.java | 5 - ...ImageObjectDetectionEvaluationMetrics.java | 9 - ...bjectDetectionModelDeploymentMetadata.java | 2 - .../v1/ImageObjectDetectionModelMetadata.java | 12 - .../cloud/automl/v1/ImportDataRequest.java | 5 - .../google/cloud/automl/v1/InputConfig.java | 16 - .../cloud/automl/v1/ListDatasetsRequest.java | 8 - .../cloud/automl/v1/ListDatasetsResponse.java | 7 - .../v1/ListModelEvaluationsRequest.java | 8 - .../v1/ListModelEvaluationsResponse.java | 7 - .../cloud/automl/v1/ListModelsRequest.java | 8 - .../cloud/automl/v1/ListModelsResponse.java | 7 - .../com/google/cloud/automl/v1/Model.java | 69 - .../cloud/automl/v1/ModelEvaluation.java | 41 - .../automl/v1/ModelExportOutputConfig.java | 18 - .../cloud/automl/v1/NormalizedVertex.java | 4 - .../cloud/automl/v1/OperationMetadata.java | 67 - .../google/cloud/automl/v1/OutputConfig.java | 6 - .../cloud/automl/v1/PredictRequest.java | 15 - .../cloud/automl/v1/PredictResponse.java | 18 - .../v1/TextClassificationDatasetMetadata.java | 5 - .../v1/TextClassificationModelMetadata.java | 5 - .../automl/v1/TextExtractionAnnotation.java | 8 - .../v1/TextExtractionEvaluationMetrics.java | 15 - .../google/cloud/automl/v1/TextSegment.java | 6 - .../automl/v1/TextSentimentAnnotation.java | 2 - .../v1/TextSentimentDatasetMetadata.java | 2 - .../v1/TextSentimentEvaluationMetrics.java | 17 - .../google/cloud/automl/v1/TextSnippet.java | 6 - .../automl/v1/TranslationAnnotation.java | 3 - .../automl/v1/TranslationDatasetMetadata.java | 4 - .../v1/TranslationEvaluationMetrics.java | 4 - .../automl/v1/TranslationModelMetadata.java | 6 - .../cloud/automl/v1/UndeployModelRequest.java | 2 - .../cloud/automl/v1/UpdateDatasetRequest.java | 6 - .../cloud/automl/v1/UpdateModelRequest.java | 6 - .../clirr-ignored-differences.xml | 14 + proto-google-cloud-automl-v1beta1/pom.xml | 33 + .../automl/v1beta1/AnnotationPayload.java | 3542 ++++++ .../v1beta1/AnnotationPayloadOrBuilder.java | 389 + .../v1beta1/AnnotationPayloadOuterClass.java | 120 + .../cloud/automl/v1beta1/AnnotationSpec.java | 922 ++ .../automl/v1beta1/AnnotationSpecName.java | 251 + .../v1beta1/AnnotationSpecOrBuilder.java | 95 + .../v1beta1/AnnotationSpecOuterClass.java | 83 + .../cloud/automl/v1beta1/ArrayStats.java | 741 ++ .../automl/v1beta1/ArrayStatsOrBuilder.java | 63 + .../cloud/automl/v1beta1/AutoMlProto.java | 689 ++ .../v1beta1/BatchPredictInputConfig.java | 1509 +++ .../BatchPredictInputConfigOrBuilder.java | 97 + .../BatchPredictOperationMetadata.java | 2142 ++++ ...atchPredictOperationMetadataOrBuilder.java | 106 + .../v1beta1/BatchPredictOutputConfig.java | 1634 +++ .../BatchPredictOutputConfigOrBuilder.java | 101 + .../automl/v1beta1/BatchPredictRequest.java | 2207 ++++ .../v1beta1/BatchPredictRequestOrBuilder.java | 478 + .../automl/v1beta1/BatchPredictResult.java | 844 ++ .../v1beta1/BatchPredictResultOrBuilder.java | 109 + .../automl/v1beta1/BigQueryDestination.java | 648 + .../v1beta1/BigQueryDestinationOrBuilder.java | 54 + .../cloud/automl/v1beta1/BigQuerySource.java | 646 + .../v1beta1/BigQuerySourceOrBuilder.java | 54 + .../v1beta1/BoundingBoxMetricsEntry.java | 2168 ++++ .../BoundingBoxMetricsEntryOrBuilder.java | 130 + .../cloud/automl/v1beta1/BoundingPoly.java | 963 ++ .../automl/v1beta1/BoundingPolyOrBuilder.java | 78 + .../cloud/automl/v1beta1/CategoryStats.java | 1808 +++ .../v1beta1/CategoryStatsOrBuilder.java | 95 + .../automl/v1beta1/ClassificationProto.java | 10000 ++++++++++++++++ .../cloud/automl/v1beta1/ColumnSpec.java | 3161 +++++ .../cloud/automl/v1beta1/ColumnSpecName.java | 277 + .../automl/v1beta1/ColumnSpecOrBuilder.java | 255 + .../automl/v1beta1/ColumnSpecOuterClass.java | 109 + .../automl/v1beta1/CorrelationStats.java | 551 + .../v1beta1/CorrelationStatsOrBuilder.java | 38 + .../automl/v1beta1/CreateDatasetRequest.java | 946 ++ .../CreateDatasetRequestOrBuilder.java | 95 + .../v1beta1/CreateModelOperationMetadata.java | 460 + ...CreateModelOperationMetadataOrBuilder.java | 24 + .../automl/v1beta1/CreateModelRequest.java | 928 ++ .../v1beta1/CreateModelRequestOrBuilder.java | 92 + .../cloud/automl/v1beta1/DataItems.java | 200 + .../cloud/automl/v1beta1/DataStats.java | 2591 ++++ .../automl/v1beta1/DataStatsOrBuilder.java | 276 + .../automl/v1beta1/DataStatsOuterClass.java | 297 + .../google/cloud/automl/v1beta1/DataType.java | 1666 +++ .../automl/v1beta1/DataTypeOrBuilder.java | 187 + .../cloud/automl/v1beta1/DataTypes.java | 107 + .../google/cloud/automl/v1beta1/Dataset.java | 4749 ++++++++ .../cloud/automl/v1beta1/DatasetName.java | 210 + .../automl/v1beta1/DatasetOrBuilder.java | 564 + .../automl/v1beta1/DatasetOuterClass.java | 141 + .../automl/v1beta1/DeleteDatasetRequest.java | 648 + .../DeleteDatasetRequestOrBuilder.java | 54 + .../automl/v1beta1/DeleteModelRequest.java | 648 + .../v1beta1/DeleteModelRequestOrBuilder.java | 54 + .../v1beta1/DeleteOperationMetadata.java | 457 + .../DeleteOperationMetadataOrBuilder.java | 24 + .../v1beta1/DeployModelOperationMetadata.java | 460 + ...DeployModelOperationMetadataOrBuilder.java | 24 + .../automl/v1beta1/DeployModelRequest.java | 1453 +++ .../v1beta1/DeployModelRequestOrBuilder.java | 143 + .../cloud/automl/v1beta1/Detection.java | 169 + .../google/cloud/automl/v1beta1/Document.java | 3702 ++++++ .../automl/v1beta1/DocumentDimensions.java | 971 ++ .../v1beta1/DocumentDimensionsOrBuilder.java | 76 + .../automl/v1beta1/DocumentInputConfig.java | 766 ++ .../v1beta1/DocumentInputConfigOrBuilder.java | 69 + .../automl/v1beta1/DocumentOrBuilder.java | 200 + .../cloud/automl/v1beta1/DoubleRange.java | 636 + .../automl/v1beta1/DoubleRangeOrBuilder.java | 51 + .../cloud/automl/v1beta1/ExamplePayload.java | 1722 +++ .../v1beta1/ExamplePayloadOrBuilder.java | 167 + .../v1beta1/ExportDataOperationMetadata.java | 1824 +++ .../ExportDataOperationMetadataOrBuilder.java | 67 + .../automl/v1beta1/ExportDataRequest.java | 947 ++ .../v1beta1/ExportDataRequestOrBuilder.java | 95 + ...ortEvaluatedExamplesOperationMetadata.java | 1560 +++ ...tedExamplesOperationMetadataOrBuilder.java | 73 + .../ExportEvaluatedExamplesOutputConfig.java | 901 ++ ...valuatedExamplesOutputConfigOrBuilder.java | 63 + .../ExportEvaluatedExamplesRequest.java | 973 ++ ...portEvaluatedExamplesRequestOrBuilder.java | 98 + .../v1beta1/ExportModelOperationMetadata.java | 1498 +++ ...ExportModelOperationMetadataOrBuilder.java | 71 + .../automl/v1beta1/ExportModelRequest.java | 956 ++ .../v1beta1/ExportModelRequestOrBuilder.java | 95 + .../cloud/automl/v1beta1/Float64Stats.java | 2332 ++++ .../automl/v1beta1/Float64StatsOrBuilder.java | 177 + .../cloud/automl/v1beta1/GcrDestination.java | 688 ++ .../v1beta1/GcrDestinationOrBuilder.java | 66 + .../cloud/automl/v1beta1/GcsDestination.java | 667 ++ .../v1beta1/GcsDestinationOrBuilder.java | 60 + .../cloud/automl/v1beta1/GcsSource.java | 761 ++ .../automl/v1beta1/GcsSourceOrBuilder.java | 84 + .../google/cloud/automl/v1beta1/Geometry.java | 85 + .../v1beta1/GetAnnotationSpecRequest.java | 649 + .../GetAnnotationSpecRequestOrBuilder.java | 54 + .../automl/v1beta1/GetColumnSpecRequest.java | 913 ++ .../GetColumnSpecRequestOrBuilder.java | 89 + .../automl/v1beta1/GetDatasetRequest.java | 648 + .../v1beta1/GetDatasetRequestOrBuilder.java | 54 + .../v1beta1/GetModelEvaluationRequest.java | 649 + .../GetModelEvaluationRequestOrBuilder.java | 54 + .../cloud/automl/v1beta1/GetModelRequest.java | 647 + .../v1beta1/GetModelRequestOrBuilder.java | 54 + .../automl/v1beta1/GetTableSpecRequest.java | 913 ++ .../v1beta1/GetTableSpecRequestOrBuilder.java | 89 + .../google/cloud/automl/v1beta1/Image.java | 1122 ++ .../ImageClassificationDatasetMetadata.java | 630 + ...lassificationDatasetMetadataOrBuilder.java | 50 + ...ClassificationModelDeploymentMetadata.java | 588 + ...ationModelDeploymentMetadataOrBuilder.java | 42 + .../ImageClassificationModelMetadata.java | 1636 +++ ...eClassificationModelMetadataOrBuilder.java | 232 + .../ImageObjectDetectionAnnotation.java | 832 ++ ...ageObjectDetectionAnnotationOrBuilder.java | 74 + .../ImageObjectDetectionDatasetMetadata.java | 470 + ...jectDetectionDatasetMetadataOrBuilder.java | 24 + ...ImageObjectDetectionEvaluationMetrics.java | 1294 ++ ...ctDetectionEvaluationMetricsOrBuilder.java | 132 + ...bjectDetectionModelDeploymentMetadata.java | 589 + ...ctionModelDeploymentMetadataOrBuilder.java | 42 + .../ImageObjectDetectionModelMetadata.java | 1415 +++ ...ObjectDetectionModelMetadataOrBuilder.java | 192 + .../cloud/automl/v1beta1/ImageOrBuilder.java | 102 + .../cloud/automl/v1beta1/ImageProto.java | 167 + .../v1beta1/ImportDataOperationMetadata.java | 457 + .../ImportDataOperationMetadataOrBuilder.java | 24 + .../automl/v1beta1/ImportDataRequest.java | 966 ++ .../v1beta1/ImportDataRequestOrBuilder.java | 100 + .../cloud/automl/v1beta1/InputConfig.java | 2223 ++++ .../automl/v1beta1/InputConfigOrBuilder.java | 192 + .../com/google/cloud/automl/v1beta1/Io.java | 267 + .../v1beta1/ListColumnSpecsRequest.java | 1381 +++ .../ListColumnSpecsRequestOrBuilder.java | 159 + .../v1beta1/ListColumnSpecsResponse.java | 1132 ++ .../ListColumnSpecsResponseOrBuilder.java | 104 + .../automl/v1beta1/ListDatasetsRequest.java | 1143 ++ .../v1beta1/ListDatasetsRequestOrBuilder.java | 132 + .../automl/v1beta1/ListDatasetsResponse.java | 1128 ++ .../ListDatasetsResponseOrBuilder.java | 104 + .../v1beta1/ListModelEvaluationsRequest.java | 1175 ++ .../ListModelEvaluationsRequestOrBuilder.java | 141 + .../v1beta1/ListModelEvaluationsResponse.java | 1153 ++ ...ListModelEvaluationsResponseOrBuilder.java | 106 + .../automl/v1beta1/ListModelsRequest.java | 1153 ++ .../v1beta1/ListModelsRequestOrBuilder.java | 135 + .../automl/v1beta1/ListModelsResponse.java | 1127 ++ .../v1beta1/ListModelsResponseOrBuilder.java | 103 + .../automl/v1beta1/ListTableSpecsRequest.java | 1381 +++ .../ListTableSpecsRequestOrBuilder.java | 159 + .../v1beta1/ListTableSpecsResponse.java | 1131 ++ .../ListTableSpecsResponseOrBuilder.java | 104 + .../cloud/automl/v1beta1/LocationName.java | 182 + .../google/cloud/automl/v1beta1/Model.java | 4997 ++++++++ .../cloud/automl/v1beta1/ModelEvaluation.java | 4136 +++++++ .../automl/v1beta1/ModelEvaluationName.java | 251 + .../v1beta1/ModelEvaluationOrBuilder.java | 510 + .../v1beta1/ModelEvaluationOuterClass.java | 141 + .../v1beta1/ModelExportOutputConfig.java | 1969 +++ .../ModelExportOutputConfigOrBuilder.java | 280 + .../cloud/automl/v1beta1/ModelName.java | 210 + .../cloud/automl/v1beta1/ModelOrBuilder.java | 582 + .../cloud/automl/v1beta1/ModelOuterClass.java | 144 + .../automl/v1beta1/NormalizedVertex.java | 641 + .../v1beta1/NormalizedVertexOrBuilder.java | 51 + .../automl/v1beta1/OperationMetadata.java | 4659 +++++++ .../v1beta1/OperationMetadataOrBuilder.java | 522 + .../cloud/automl/v1beta1/Operations.java | 309 + .../cloud/automl/v1beta1/OutputConfig.java | 1251 ++ .../automl/v1beta1/OutputConfigOrBuilder.java | 112 + .../cloud/automl/v1beta1/PredictRequest.java | 1447 +++ .../v1beta1/PredictRequestOrBuilder.java | 232 + .../cloud/automl/v1beta1/PredictResponse.java | 1741 +++ .../v1beta1/PredictResponseOrBuilder.java | 243 + .../v1beta1/PredictionServiceProto.java | 237 + .../cloud/automl/v1beta1/RangesProto.java | 71 + .../cloud/automl/v1beta1/RegressionProto.java | 1069 ++ .../com/google/cloud/automl/v1beta1/Row.java | 1375 +++ .../cloud/automl/v1beta1/RowOrBuilder.java | 171 + .../cloud/automl/v1beta1/StringStats.java | 1765 +++ .../automl/v1beta1/StringStatsOrBuilder.java | 88 + .../cloud/automl/v1beta1/StructStats.java | 808 ++ .../automl/v1beta1/StructStatsOrBuilder.java | 85 + .../cloud/automl/v1beta1/StructType.java | 809 ++ .../automl/v1beta1/StructTypeOrBuilder.java | 90 + .../cloud/automl/v1beta1/TableSpec.java | 1858 +++ .../cloud/automl/v1beta1/TableSpecName.java | 243 + .../automl/v1beta1/TableSpecOrBuilder.java | 218 + .../automl/v1beta1/TableSpecOuterClass.java | 94 + .../google/cloud/automl/v1beta1/Tables.java | 194 + .../automl/v1beta1/TablesAnnotation.java | 2021 ++++ .../v1beta1/TablesAnnotationOrBuilder.java | 249 + .../automl/v1beta1/TablesDatasetMetadata.java | 2161 ++++ .../TablesDatasetMetadataOrBuilder.java | 336 + .../automl/v1beta1/TablesModelColumnInfo.java | 977 ++ .../TablesModelColumnInfoOrBuilder.java | 107 + .../automl/v1beta1/TablesModelMetadata.java | 3160 +++++ .../v1beta1/TablesModelMetadataOrBuilder.java | 419 + .../google/cloud/automl/v1beta1/Temporal.java | 75 + .../TextClassificationDatasetMetadata.java | 628 + ...lassificationDatasetMetadataOrBuilder.java | 50 + .../TextClassificationModelMetadata.java | 626 + ...tClassificationModelMetadataOrBuilder.java | 50 + .../cloud/automl/v1beta1/TextExtraction.java | 109 + .../v1beta1/TextExtractionAnnotation.java | 936 ++ .../TextExtractionAnnotationOrBuilder.java | 80 + .../TextExtractionDatasetMetadata.java | 461 + ...extExtractionDatasetMetadataOrBuilder.java | 24 + .../TextExtractionEvaluationMetrics.java | 2109 ++++ ...tExtractionEvaluationMetricsOrBuilder.java | 112 + .../v1beta1/TextExtractionModelMetadata.java | 457 + .../TextExtractionModelMetadataOrBuilder.java | 24 + .../cloud/automl/v1beta1/TextProto.java | 136 + .../cloud/automl/v1beta1/TextSegment.java | 820 ++ .../automl/v1beta1/TextSegmentOrBuilder.java | 79 + .../automl/v1beta1/TextSegmentProto.java | 72 + .../v1beta1/TextSentimentDatasetMetadata.java | 568 + ...TextSentimentDatasetMetadataOrBuilder.java | 43 + .../v1beta1/TextSentimentModelMetadata.java | 457 + .../TextSentimentModelMetadataOrBuilder.java | 24 + .../automl/v1beta1/TextSentimentProto.java | 2727 +++++ .../cloud/automl/v1beta1/TextSnippet.java | 1007 ++ .../automl/v1beta1/TextSnippetOrBuilder.java | 106 + .../cloud/automl/v1beta1/TimeSegment.java | 1024 ++ .../automl/v1beta1/TimeSegmentOrBuilder.java | 101 + .../cloud/automl/v1beta1/TimestampStats.java | 1705 +++ .../v1beta1/TimestampStatsOrBuilder.java | 114 + .../automl/v1beta1/TranslationAnnotation.java | 732 ++ .../TranslationAnnotationOrBuilder.java | 60 + .../v1beta1/TranslationDatasetMetadata.java | 812 ++ .../TranslationDatasetMetadataOrBuilder.java | 75 + .../v1beta1/TranslationEvaluationMetrics.java | 644 + ...TranslationEvaluationMetricsOrBuilder.java | 51 + .../v1beta1/TranslationModelMetadata.java | 1024 ++ .../TranslationModelMetadataOrBuilder.java | 110 + .../automl/v1beta1/TranslationProto.java | 126 + .../google/cloud/automl/v1beta1/TypeCode.java | 283 + .../UndeployModelOperationMetadata.java | 464 + ...deployModelOperationMetadataOrBuilder.java | 24 + .../automl/v1beta1/UndeployModelRequest.java | 648 + .../UndeployModelRequestOrBuilder.java | 54 + .../v1beta1/UpdateColumnSpecRequest.java | 1025 ++ .../UpdateColumnSpecRequestOrBuilder.java | 101 + .../automl/v1beta1/UpdateDatasetRequest.java | 1023 ++ .../UpdateDatasetRequestOrBuilder.java | 101 + .../v1beta1/UpdateTableSpecRequest.java | 1024 ++ .../UpdateTableSpecRequestOrBuilder.java | 101 + .../VideoClassificationDatasetMetadata.java | 471 + ...lassificationDatasetMetadataOrBuilder.java | 24 + .../VideoClassificationModelMetadata.java | 465 + ...oClassificationModelMetadataOrBuilder.java | 24 + .../VideoObjectTrackingAnnotation.java | 1354 +++ ...ideoObjectTrackingAnnotationOrBuilder.java | 155 + .../VideoObjectTrackingDatasetMetadata.java | 469 + ...bjectTrackingDatasetMetadataOrBuilder.java | 24 + .../VideoObjectTrackingEvaluationMetrics.java | 1384 +++ ...ectTrackingEvaluationMetricsOrBuilder.java | 145 + .../VideoObjectTrackingModelMetadata.java | 465 + ...oObjectTrackingModelMetadataOrBuilder.java | 24 + .../cloud/automl/v1beta1/VideoProto.java | 105 + .../automl/v1beta1/annotation_payload.proto | 77 + .../automl/v1beta1/annotation_spec.proto | 48 + .../cloud/automl/v1beta1/classification.proto | 216 + .../cloud/automl/v1beta1/column_spec.proto | 78 + .../cloud/automl/v1beta1/data_items.proto | 221 + .../cloud/automl/v1beta1/data_stats.proto | 166 + .../cloud/automl/v1beta1/data_types.proto | 105 + .../google/cloud/automl/v1beta1/dataset.proto | 96 + .../cloud/automl/v1beta1/detection.proto | 135 + .../cloud/automl/v1beta1/geometry.proto | 46 + .../google/cloud/automl/v1beta1/image.proto | 193 + .../google/cloud/automl/v1beta1/io.proto | 1132 ++ .../google/cloud/automl/v1beta1/model.proto | 108 + .../automl/v1beta1/model_evaluation.proto | 116 + .../cloud/automl/v1beta1/operations.proto | 189 + .../automl/v1beta1/prediction_service.proto | 268 + .../google/cloud/automl/v1beta1/ranges.proto | 35 + .../cloud/automl/v1beta1/regression.proto | 44 + .../google/cloud/automl/v1beta1/service.proto | 800 ++ .../cloud/automl/v1beta1/table_spec.proto | 78 + .../google/cloud/automl/v1beta1/tables.proto | 292 + .../cloud/automl/v1beta1/temporal.proto | 37 + .../google/cloud/automl/v1beta1/text.proto | 65 + .../automl/v1beta1/text_extraction.proto | 68 + .../cloud/automl/v1beta1/text_segment.proto | 41 + .../cloud/automl/v1beta1/text_sentiment.proto | 80 + .../cloud/automl/v1beta1/translation.proto | 69 + .../google/cloud/automl/v1beta1/video.proto | 48 + synth.metadata | 27 +- synth.py | 2 +- versions.txt | 2 + 396 files changed, 200383 insertions(+), 813 deletions(-) create mode 100644 google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/AutoMlClient.java create mode 100644 google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/AutoMlSettings.java create mode 100644 google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceClient.java create mode 100644 google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceSettings.java create mode 100644 google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/package-info.java create mode 100644 google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/AutoMlStub.java create mode 100644 google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/AutoMlStubSettings.java create mode 100644 google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/GrpcAutoMlCallableFactory.java create mode 100644 google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/GrpcAutoMlStub.java create mode 100644 google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/GrpcPredictionServiceCallableFactory.java create mode 100644 google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/GrpcPredictionServiceStub.java create mode 100644 google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/PredictionServiceStub.java create mode 100644 google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/PredictionServiceStubSettings.java create mode 100644 google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/AutoMlClientTest.java create mode 100644 google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/MockAutoMl.java create mode 100644 google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/MockAutoMlImpl.java create mode 100644 google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/MockPredictionService.java create mode 100644 google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/MockPredictionServiceImpl.java create mode 100644 google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/PredictionServiceClientTest.java create mode 100644 grpc-google-cloud-automl-v1beta1/clirr-ignored-differences.xml create mode 100644 grpc-google-cloud-automl-v1beta1/pom.xml create mode 100644 grpc-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AutoMlGrpc.java create mode 100644 grpc-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceGrpc.java create mode 100644 proto-google-cloud-automl-v1beta1/clirr-ignored-differences.xml create mode 100644 proto-google-cloud-automl-v1beta1/pom.xml create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationPayload.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationPayloadOrBuilder.java create 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100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/NormalizedVertex.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/NormalizedVertexOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OperationMetadata.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OperationMetadataOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Operations.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OutputConfig.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OutputConfigOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictRequest.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictRequestOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictResponse.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictResponseOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceProto.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/RangesProto.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/RegressionProto.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Row.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/RowOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StringStats.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StringStatsOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructStats.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructStatsOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructType.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructTypeOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpec.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpecName.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpecOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpecOuterClass.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Tables.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesAnnotation.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesAnnotationOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesDatasetMetadata.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesDatasetMetadataOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelColumnInfo.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelColumnInfoOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelMetadata.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelMetadataOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Temporal.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextClassificationDatasetMetadata.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextClassificationDatasetMetadataOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextClassificationModelMetadata.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextClassificationModelMetadataOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtraction.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionAnnotation.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionAnnotationOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionDatasetMetadata.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionDatasetMetadataOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionEvaluationMetrics.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionEvaluationMetricsOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionModelMetadata.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionModelMetadataOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextProto.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSegment.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSegmentOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSegmentProto.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentDatasetMetadata.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentDatasetMetadataOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentModelMetadata.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentModelMetadataOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentProto.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSnippet.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSnippetOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimeSegment.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimeSegmentOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimestampStats.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimestampStatsOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationAnnotation.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationAnnotationOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationDatasetMetadata.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationDatasetMetadataOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationEvaluationMetrics.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationEvaluationMetricsOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationModelMetadata.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationModelMetadataOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationProto.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TypeCode.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelOperationMetadata.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelOperationMetadataOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelRequest.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelRequestOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateColumnSpecRequest.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateColumnSpecRequestOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateDatasetRequest.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateDatasetRequestOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateTableSpecRequest.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateTableSpecRequestOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationDatasetMetadata.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationDatasetMetadataOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationModelMetadata.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationModelMetadataOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingAnnotation.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingAnnotationOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingDatasetMetadata.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingDatasetMetadataOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingEvaluationMetrics.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingEvaluationMetricsOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingModelMetadata.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingModelMetadataOrBuilder.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoProto.java create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/annotation_payload.proto create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/annotation_spec.proto create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/classification.proto create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/column_spec.proto create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_items.proto create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_stats.proto create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_types.proto create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/dataset.proto create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/detection.proto create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/geometry.proto create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/image.proto create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/io.proto create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/model.proto create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/model_evaluation.proto create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/operations.proto create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/prediction_service.proto create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/ranges.proto create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/regression.proto create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/service.proto create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/table_spec.proto create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/tables.proto create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/temporal.proto create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text.proto create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text_extraction.proto create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text_segment.proto create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text_sentiment.proto create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/translation.proto create mode 100644 proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/video.proto diff --git a/README.md b/README.md index 70ee46d90..85f70009d 100644 --- a/README.md +++ b/README.md @@ -17,7 +17,7 @@ If you are using Maven with [BOM][libraries-bom], add this to your pom.xml file com.google.cloud libraries-bom - 5.5.0 + 5.4.0 pom import diff --git a/google-cloud-automl-bom/pom.xml b/google-cloud-automl-bom/pom.xml index 1fe9f024e..939305a35 100644 --- a/google-cloud-automl-bom/pom.xml +++ b/google-cloud-automl-bom/pom.xml @@ -60,11 +60,21 @@ + + com.google.api.grpc + grpc-google-cloud-automl-v1beta1 + 0.82.3-SNAPSHOT + com.google.api.grpc grpc-google-cloud-automl-v1 1.1.3-SNAPSHOT + + com.google.api.grpc + proto-google-cloud-automl-v1beta1 + 0.82.3-SNAPSHOT + com.google.api.grpc proto-google-cloud-automl-v1 diff --git a/google-cloud-automl/clirr-ignored-differences.xml b/google-cloud-automl/clirr-ignored-differences.xml index 0d5922bd1..626dbe9e6 100644 --- a/google-cloud-automl/clirr-ignored-differences.xml +++ b/google-cloud-automl/clirr-ignored-differences.xml @@ -16,9 +16,4 @@ com/google/cloud/automl/v1/AutoMlClient com.google.longrunning.Operation createDataset(com.google.cloud.automl.v1.CreateDatasetRequest) - - - 8001 - com/google/cloud/automl/v1beta1/** - \ No newline at end of file diff --git a/google-cloud-automl/pom.xml b/google-cloud-automl/pom.xml index b789d35e8..a0945d5c9 100644 --- a/google-cloud-automl/pom.xml +++ b/google-cloud-automl/pom.xml @@ -42,6 +42,10 @@ proto-google-common-protos + + com.google.api.grpc + proto-google-cloud-automl-v1beta1 + com.google.api.grpc proto-google-cloud-automl-v1 @@ -70,6 +74,11 @@ test + + com.google.api.grpc + grpc-google-cloud-automl-v1beta1 + test + com.google.api.grpc grpc-google-cloud-automl-v1 diff --git a/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/AutoMlClient.java b/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/AutoMlClient.java new file mode 100644 index 000000000..e0f3bbd73 --- /dev/null +++ b/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/AutoMlClient.java @@ -0,0 +1,3497 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package com.google.cloud.automl.v1beta1; + +import com.google.api.core.ApiFunction; +import com.google.api.core.ApiFuture; +import com.google.api.core.ApiFutures; +import com.google.api.core.BetaApi; +import com.google.api.gax.core.BackgroundResource; +import com.google.api.gax.longrunning.OperationFuture; +import com.google.api.gax.paging.AbstractFixedSizeCollection; +import com.google.api.gax.paging.AbstractPage; +import com.google.api.gax.paging.AbstractPagedListResponse; +import com.google.api.gax.rpc.OperationCallable; +import com.google.api.gax.rpc.PageContext; +import com.google.api.gax.rpc.UnaryCallable; +import com.google.cloud.automl.v1beta1.stub.AutoMlStub; +import com.google.cloud.automl.v1beta1.stub.AutoMlStubSettings; +import com.google.common.util.concurrent.MoreExecutors; +import com.google.longrunning.Operation; +import com.google.longrunning.OperationsClient; +import com.google.protobuf.Empty; +import java.io.IOException; +import java.util.List; +import java.util.concurrent.TimeUnit; +import javax.annotation.Generated; + +// AUTO-GENERATED DOCUMENTATION AND SERVICE +/** + * Service Description: AutoML Server API. + * + *

The resource names are assigned by the server. The server never reuses names that it has + * created after the resources with those names are deleted. + * + *

An ID of a resource is the last element of the item's resource name. For + * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`, then the id for the item + * is `{dataset_id}`. + * + *

Currently the only supported `location_id` is "us-central1". + * + *

On any input that is documented to expect a string parameter in snake_case or kebab-case, + * either of those cases is accepted. + * + *

This class provides the ability to make remote calls to the backing service through method + * calls that map to API methods. Sample code to get started: + * + * 

+ * 
+ * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+ *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+ *   Dataset dataset = Dataset.newBuilder().build();
+ *   Dataset response = autoMlClient.createDataset(parent, dataset);
+ * }
+ * 
+ *
+ * + *

Note: close() needs to be called on the autoMlClient object to clean up resources such as + * threads. In the example above, try-with-resources is used, which automatically calls close(). + * + *

The surface of this class includes several types of Java methods for each of the API's + * methods: + * + *

    + *
  1. A "flattened" method. With this type of method, the fields of the request type have been + * converted into function parameters. It may be the case that not all fields are available as + * parameters, and not every API method will have a flattened method entry point. + *
  2. A "request object" method. This type of method only takes one parameter, a request object, + * which must be constructed before the call. Not every API method will have a request object + * method. + *
  3. A "callable" method. This type of method takes no parameters and returns an immutable API + * callable object, which can be used to initiate calls to the service. + *
+ * + *

See the individual methods for example code. + * + *

Many parameters require resource names to be formatted in a particular way. To assist with + * these names, this class includes a format method for each type of name, and additionally a parse + * method to extract the individual identifiers contained within names that are returned. + * + *

This class can be customized by passing in a custom instance of AutoMlSettings to create(). + * For example: + * + *

To customize credentials: + * + * 

+ * 
+ * AutoMlSettings autoMlSettings =
+ *     AutoMlSettings.newBuilder()
+ *         .setCredentialsProvider(FixedCredentialsProvider.create(myCredentials))
+ *         .build();
+ * AutoMlClient autoMlClient =
+ *     AutoMlClient.create(autoMlSettings);
+ * 
+ *
+ * + * To customize the endpoint: + * + * 
+ * 
+ * AutoMlSettings autoMlSettings =
+ *     AutoMlSettings.newBuilder().setEndpoint(myEndpoint).build();
+ * AutoMlClient autoMlClient =
+ *     AutoMlClient.create(autoMlSettings);
+ * 
+ *
+ */ +@Generated("by gapic-generator") +@BetaApi +public class AutoMlClient implements BackgroundResource { + private final AutoMlSettings settings; + private final AutoMlStub stub; + private final OperationsClient operationsClient; + + /** Constructs an instance of AutoMlClient with default settings. */ + public static final AutoMlClient create() throws IOException { + return create(AutoMlSettings.newBuilder().build()); + } + + /** + * Constructs an instance of AutoMlClient, using the given settings. The channels are created + * based on the settings passed in, or defaults for any settings that are not set. + */ + public static final AutoMlClient create(AutoMlSettings settings) throws IOException { + return new AutoMlClient(settings); + } + + /** + * Constructs an instance of AutoMlClient, using the given stub for making calls. This is for + * advanced usage - prefer to use AutoMlSettings}. + */ + @BetaApi("A restructuring of stub classes is planned, so this may break in the future") + public static final AutoMlClient create(AutoMlStub stub) { + return new AutoMlClient(stub); + } + + /** + * Constructs an instance of AutoMlClient, using the given settings. This is protected so that it + * is easy to make a subclass, but otherwise, the static factory methods should be preferred. + */ + protected AutoMlClient(AutoMlSettings settings) throws IOException { + this.settings = settings; + this.stub = ((AutoMlStubSettings) settings.getStubSettings()).createStub(); + this.operationsClient = OperationsClient.create(this.stub.getOperationsStub()); + } + + @BetaApi("A restructuring of stub classes is planned, so this may break in the future") + protected AutoMlClient(AutoMlStub stub) { + this.settings = null; + this.stub = stub; + this.operationsClient = OperationsClient.create(this.stub.getOperationsStub()); + } + + public final AutoMlSettings getSettings() { + return settings; + } + + @BetaApi("A restructuring of stub classes is planned, so this may break in the future") + public AutoMlStub getStub() { + return stub; + } + + /** + * Returns the OperationsClient that can be used to query the status of a long-running operation + * returned by another API method call. + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationsClient getOperationsClient() { + return operationsClient; + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Deletes a dataset and all of its contents. Returns empty response in the + * [response][google.longrunning.Operation.response] field when it completes, and `delete_details` + * in the [metadata][google.longrunning.Operation.metadata] field. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   autoMlClient.deleteDatasetAsync(name).get();
+   * }
+   *
+ * + * @param name Required. The resource name of the dataset to delete. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture deleteDatasetAsync(DatasetName name) { + DeleteDatasetRequest request = + DeleteDatasetRequest.newBuilder().setName(name == null ? null : name.toString()).build(); + return deleteDatasetAsync(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Deletes a dataset and all of its contents. Returns empty response in the + * [response][google.longrunning.Operation.response] field when it completes, and `delete_details` + * in the [metadata][google.longrunning.Operation.metadata] field. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   autoMlClient.deleteDatasetAsync(name.toString()).get();
+   * }
+   *
+ * + * @param name Required. The resource name of the dataset to delete. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture deleteDatasetAsync(String name) { + DeleteDatasetRequest request = DeleteDatasetRequest.newBuilder().setName(name).build(); + return deleteDatasetAsync(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Deletes a dataset and all of its contents. Returns empty response in the + * [response][google.longrunning.Operation.response] field when it completes, and `delete_details` + * in the [metadata][google.longrunning.Operation.metadata] field. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   DeleteDatasetRequest request = DeleteDatasetRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .build();
+   *   autoMlClient.deleteDatasetAsync(request).get();
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture deleteDatasetAsync( + DeleteDatasetRequest request) { + return deleteDatasetOperationCallable().futureCall(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Deletes a dataset and all of its contents. Returns empty response in the + * [response][google.longrunning.Operation.response] field when it completes, and `delete_details` + * in the [metadata][google.longrunning.Operation.metadata] field. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   DeleteDatasetRequest request = DeleteDatasetRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .build();
+   *   OperationFuture<Empty, OperationMetadata> future = autoMlClient.deleteDatasetOperationCallable().futureCall(request);
+   *   // Do something
+   *   future.get();
+   * }
+   *
+ */ + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public final OperationCallable + deleteDatasetOperationCallable() { + return stub.deleteDatasetOperationCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Deletes a dataset and all of its contents. Returns empty response in the + * [response][google.longrunning.Operation.response] field when it completes, and `delete_details` + * in the [metadata][google.longrunning.Operation.metadata] field. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   DeleteDatasetRequest request = DeleteDatasetRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .build();
+   *   ApiFuture<Operation> future = autoMlClient.deleteDatasetCallable().futureCall(request);
+   *   // Do something
+   *   future.get();
+   * }
+   *
+ */ + public final UnaryCallable deleteDatasetCallable() { + return stub.deleteDatasetCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Imports data into a dataset. For Tables this method can only be called on an empty Dataset. + * + *

For Tables: * A + * [schema_inference_version][google.cloud.automl.v1beta1.InputConfig.params] parameter must be + * explicitly set. Returns an empty response in the + * [response][google.longrunning.Operation.response] field when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   InputConfig inputConfig = InputConfig.newBuilder().build();
+   *   autoMlClient.importDataAsync(name, inputConfig).get();
+   * }
+   *
+ * + * @param name Required. Dataset name. Dataset must already exist. All imported annotations and + * examples will be added. + * @param inputConfig Required. The desired input location and its domain specific semantics, if + * any. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture importDataAsync( + DatasetName name, InputConfig inputConfig) { + ImportDataRequest request = + ImportDataRequest.newBuilder() + .setName(name == null ? null : name.toString()) + .setInputConfig(inputConfig) + .build(); + return importDataAsync(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Imports data into a dataset. For Tables this method can only be called on an empty Dataset. + * + *

For Tables: * A + * [schema_inference_version][google.cloud.automl.v1beta1.InputConfig.params] parameter must be + * explicitly set. Returns an empty response in the + * [response][google.longrunning.Operation.response] field when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   InputConfig inputConfig = InputConfig.newBuilder().build();
+   *   autoMlClient.importDataAsync(name.toString(), inputConfig).get();
+   * }
+   *
+ * + * @param name Required. Dataset name. Dataset must already exist. All imported annotations and + * examples will be added. + * @param inputConfig Required. The desired input location and its domain specific semantics, if + * any. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture importDataAsync( + String name, InputConfig inputConfig) { + ImportDataRequest request = + ImportDataRequest.newBuilder().setName(name).setInputConfig(inputConfig).build(); + return importDataAsync(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Imports data into a dataset. For Tables this method can only be called on an empty Dataset. + * + *

For Tables: * A + * [schema_inference_version][google.cloud.automl.v1beta1.InputConfig.params] parameter must be + * explicitly set. Returns an empty response in the + * [response][google.longrunning.Operation.response] field when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   InputConfig inputConfig = InputConfig.newBuilder().build();
+   *   ImportDataRequest request = ImportDataRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .setInputConfig(inputConfig)
+   *     .build();
+   *   autoMlClient.importDataAsync(request).get();
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture importDataAsync( + ImportDataRequest request) { + return importDataOperationCallable().futureCall(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Imports data into a dataset. For Tables this method can only be called on an empty Dataset. + * + *

For Tables: * A + * [schema_inference_version][google.cloud.automl.v1beta1.InputConfig.params] parameter must be + * explicitly set. Returns an empty response in the + * [response][google.longrunning.Operation.response] field when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   InputConfig inputConfig = InputConfig.newBuilder().build();
+   *   ImportDataRequest request = ImportDataRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .setInputConfig(inputConfig)
+   *     .build();
+   *   OperationFuture<Empty, OperationMetadata> future = autoMlClient.importDataOperationCallable().futureCall(request);
+   *   // Do something
+   *   future.get();
+   * }
+   *
+ */ + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public final OperationCallable + importDataOperationCallable() { + return stub.importDataOperationCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Imports data into a dataset. For Tables this method can only be called on an empty Dataset. + * + *

For Tables: * A + * [schema_inference_version][google.cloud.automl.v1beta1.InputConfig.params] parameter must be + * explicitly set. Returns an empty response in the + * [response][google.longrunning.Operation.response] field when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   InputConfig inputConfig = InputConfig.newBuilder().build();
+   *   ImportDataRequest request = ImportDataRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .setInputConfig(inputConfig)
+   *     .build();
+   *   ApiFuture<Operation> future = autoMlClient.importDataCallable().futureCall(request);
+   *   // Do something
+   *   future.get();
+   * }
+   *
+ */ + public final UnaryCallable importDataCallable() { + return stub.importDataCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Exports dataset's data to the provided output location. Returns an empty response in the + * [response][google.longrunning.Operation.response] field when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   OutputConfig outputConfig = OutputConfig.newBuilder().build();
+   *   autoMlClient.exportDataAsync(name, outputConfig).get();
+   * }
+   *
+ * + * @param name Required. The resource name of the dataset. + * @param outputConfig Required. The desired output location. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture exportDataAsync( + DatasetName name, OutputConfig outputConfig) { + ExportDataRequest request = + ExportDataRequest.newBuilder() + .setName(name == null ? null : name.toString()) + .setOutputConfig(outputConfig) + .build(); + return exportDataAsync(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Exports dataset's data to the provided output location. Returns an empty response in the + * [response][google.longrunning.Operation.response] field when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   OutputConfig outputConfig = OutputConfig.newBuilder().build();
+   *   autoMlClient.exportDataAsync(name.toString(), outputConfig).get();
+   * }
+   *
+ * + * @param name Required. The resource name of the dataset. + * @param outputConfig Required. The desired output location. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture exportDataAsync( + String name, OutputConfig outputConfig) { + ExportDataRequest request = + ExportDataRequest.newBuilder().setName(name).setOutputConfig(outputConfig).build(); + return exportDataAsync(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Exports dataset's data to the provided output location. Returns an empty response in the + * [response][google.longrunning.Operation.response] field when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   OutputConfig outputConfig = OutputConfig.newBuilder().build();
+   *   ExportDataRequest request = ExportDataRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .setOutputConfig(outputConfig)
+   *     .build();
+   *   autoMlClient.exportDataAsync(request).get();
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture exportDataAsync( + ExportDataRequest request) { + return exportDataOperationCallable().futureCall(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Exports dataset's data to the provided output location. Returns an empty response in the + * [response][google.longrunning.Operation.response] field when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   OutputConfig outputConfig = OutputConfig.newBuilder().build();
+   *   ExportDataRequest request = ExportDataRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .setOutputConfig(outputConfig)
+   *     .build();
+   *   OperationFuture<Empty, OperationMetadata> future = autoMlClient.exportDataOperationCallable().futureCall(request);
+   *   // Do something
+   *   future.get();
+   * }
+   *
+ */ + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public final OperationCallable + exportDataOperationCallable() { + return stub.exportDataOperationCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Exports dataset's data to the provided output location. Returns an empty response in the + * [response][google.longrunning.Operation.response] field when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   OutputConfig outputConfig = OutputConfig.newBuilder().build();
+   *   ExportDataRequest request = ExportDataRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .setOutputConfig(outputConfig)
+   *     .build();
+   *   ApiFuture<Operation> future = autoMlClient.exportDataCallable().futureCall(request);
+   *   // Do something
+   *   future.get();
+   * }
+   *
+ */ + public final UnaryCallable exportDataCallable() { + return stub.exportDataCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Deletes a model. Returns `google.protobuf.Empty` in the + * [response][google.longrunning.Operation.response] field when it completes, and `delete_details` + * in the [metadata][google.longrunning.Operation.metadata] field. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   autoMlClient.deleteModelAsync(name).get();
+   * }
+   *
+ * + * @param name Required. Resource name of the model being deleted. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture deleteModelAsync(ModelName name) { + DeleteModelRequest request = + DeleteModelRequest.newBuilder().setName(name == null ? null : name.toString()).build(); + return deleteModelAsync(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Deletes a model. Returns `google.protobuf.Empty` in the + * [response][google.longrunning.Operation.response] field when it completes, and `delete_details` + * in the [metadata][google.longrunning.Operation.metadata] field. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   autoMlClient.deleteModelAsync(name.toString()).get();
+   * }
+   *
+ * + * @param name Required. Resource name of the model being deleted. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture deleteModelAsync(String name) { + DeleteModelRequest request = DeleteModelRequest.newBuilder().setName(name).build(); + return deleteModelAsync(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Deletes a model. Returns `google.protobuf.Empty` in the + * [response][google.longrunning.Operation.response] field when it completes, and `delete_details` + * in the [metadata][google.longrunning.Operation.metadata] field. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   DeleteModelRequest request = DeleteModelRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .build();
+   *   autoMlClient.deleteModelAsync(request).get();
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture deleteModelAsync( + DeleteModelRequest request) { + return deleteModelOperationCallable().futureCall(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Deletes a model. Returns `google.protobuf.Empty` in the + * [response][google.longrunning.Operation.response] field when it completes, and `delete_details` + * in the [metadata][google.longrunning.Operation.metadata] field. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   DeleteModelRequest request = DeleteModelRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .build();
+   *   OperationFuture<Empty, OperationMetadata> future = autoMlClient.deleteModelOperationCallable().futureCall(request);
+   *   // Do something
+   *   future.get();
+   * }
+   *
+ */ + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public final OperationCallable + deleteModelOperationCallable() { + return stub.deleteModelOperationCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Deletes a model. Returns `google.protobuf.Empty` in the + * [response][google.longrunning.Operation.response] field when it completes, and `delete_details` + * in the [metadata][google.longrunning.Operation.metadata] field. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   DeleteModelRequest request = DeleteModelRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .build();
+   *   ApiFuture<Operation> future = autoMlClient.deleteModelCallable().futureCall(request);
+   *   // Do something
+   *   future.get();
+   * }
+   *
+ */ + public final UnaryCallable deleteModelCallable() { + return stub.deleteModelCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A + * model is considered export-able if and only if it has an export format defined for it in + * + *

[ModelExportOutputConfig][google.cloud.automl.v1beta1.ModelExportOutputConfig]. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   ModelExportOutputConfig outputConfig = ModelExportOutputConfig.newBuilder().build();
+   *   autoMlClient.exportModelAsync(name, outputConfig).get();
+   * }
+   *
+ * + * @param name Required. The resource name of the model to export. + * @param outputConfig Required. The desired output location and configuration. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture exportModelAsync( + ModelName name, ModelExportOutputConfig outputConfig) { + ExportModelRequest request = + ExportModelRequest.newBuilder() + .setName(name == null ? null : name.toString()) + .setOutputConfig(outputConfig) + .build(); + return exportModelAsync(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A + * model is considered export-able if and only if it has an export format defined for it in + * + *

[ModelExportOutputConfig][google.cloud.automl.v1beta1.ModelExportOutputConfig]. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   ModelExportOutputConfig outputConfig = ModelExportOutputConfig.newBuilder().build();
+   *   autoMlClient.exportModelAsync(name.toString(), outputConfig).get();
+   * }
+   *
+ * + * @param name Required. The resource name of the model to export. + * @param outputConfig Required. The desired output location and configuration. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture exportModelAsync( + String name, ModelExportOutputConfig outputConfig) { + ExportModelRequest request = + ExportModelRequest.newBuilder().setName(name).setOutputConfig(outputConfig).build(); + return exportModelAsync(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A + * model is considered export-able if and only if it has an export format defined for it in + * + *

[ModelExportOutputConfig][google.cloud.automl.v1beta1.ModelExportOutputConfig]. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   ModelExportOutputConfig outputConfig = ModelExportOutputConfig.newBuilder().build();
+   *   ExportModelRequest request = ExportModelRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .setOutputConfig(outputConfig)
+   *     .build();
+   *   autoMlClient.exportModelAsync(request).get();
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture exportModelAsync( + ExportModelRequest request) { + return exportModelOperationCallable().futureCall(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A + * model is considered export-able if and only if it has an export format defined for it in + * + *

[ModelExportOutputConfig][google.cloud.automl.v1beta1.ModelExportOutputConfig]. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   ModelExportOutputConfig outputConfig = ModelExportOutputConfig.newBuilder().build();
+   *   ExportModelRequest request = ExportModelRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .setOutputConfig(outputConfig)
+   *     .build();
+   *   OperationFuture<Empty, OperationMetadata> future = autoMlClient.exportModelOperationCallable().futureCall(request);
+   *   // Do something
+   *   future.get();
+   * }
+   *
+ */ + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public final OperationCallable + exportModelOperationCallable() { + return stub.exportModelOperationCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A + * model is considered export-able if and only if it has an export format defined for it in + * + *

[ModelExportOutputConfig][google.cloud.automl.v1beta1.ModelExportOutputConfig]. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   ModelExportOutputConfig outputConfig = ModelExportOutputConfig.newBuilder().build();
+   *   ExportModelRequest request = ExportModelRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .setOutputConfig(outputConfig)
+   *     .build();
+   *   ApiFuture<Operation> future = autoMlClient.exportModelCallable().futureCall(request);
+   *   // Do something
+   *   future.get();
+   * }
+   *
+ */ + public final UnaryCallable exportModelCallable() { + return stub.exportModelCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Exports examples on which the model was evaluated (i.e. which were in the TEST set of the + * dataset the model was created from), together with their ground truth annotations and the + * annotations created (predicted) by the model. The examples, ground truth and predictions are + * exported in the state they were at the moment the model was evaluated. + * + *

This export is available only for 30 days since the model evaluation is created. + * + *

Currently only available for Tables. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   ExportEvaluatedExamplesOutputConfig outputConfig = ExportEvaluatedExamplesOutputConfig.newBuilder().build();
+   *   autoMlClient.exportEvaluatedExamplesAsync(name, outputConfig).get();
+   * }
+   *
+ * + * @param name Required. The resource name of the model whose evaluated examples are to be + * exported. + * @param outputConfig Required. The desired output location and configuration. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture exportEvaluatedExamplesAsync( + ModelName name, ExportEvaluatedExamplesOutputConfig outputConfig) { + ExportEvaluatedExamplesRequest request = + ExportEvaluatedExamplesRequest.newBuilder() + .setName(name == null ? null : name.toString()) + .setOutputConfig(outputConfig) + .build(); + return exportEvaluatedExamplesAsync(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Exports examples on which the model was evaluated (i.e. which were in the TEST set of the + * dataset the model was created from), together with their ground truth annotations and the + * annotations created (predicted) by the model. The examples, ground truth and predictions are + * exported in the state they were at the moment the model was evaluated. + * + *

This export is available only for 30 days since the model evaluation is created. + * + *

Currently only available for Tables. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   ExportEvaluatedExamplesOutputConfig outputConfig = ExportEvaluatedExamplesOutputConfig.newBuilder().build();
+   *   autoMlClient.exportEvaluatedExamplesAsync(name.toString(), outputConfig).get();
+   * }
+   *
+ * + * @param name Required. The resource name of the model whose evaluated examples are to be + * exported. + * @param outputConfig Required. The desired output location and configuration. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture exportEvaluatedExamplesAsync( + String name, ExportEvaluatedExamplesOutputConfig outputConfig) { + ExportEvaluatedExamplesRequest request = + ExportEvaluatedExamplesRequest.newBuilder() + .setName(name) + .setOutputConfig(outputConfig) + .build(); + return exportEvaluatedExamplesAsync(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Exports examples on which the model was evaluated (i.e. which were in the TEST set of the + * dataset the model was created from), together with their ground truth annotations and the + * annotations created (predicted) by the model. The examples, ground truth and predictions are + * exported in the state they were at the moment the model was evaluated. + * + *

This export is available only for 30 days since the model evaluation is created. + * + *

Currently only available for Tables. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   ExportEvaluatedExamplesOutputConfig outputConfig = ExportEvaluatedExamplesOutputConfig.newBuilder().build();
+   *   ExportEvaluatedExamplesRequest request = ExportEvaluatedExamplesRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .setOutputConfig(outputConfig)
+   *     .build();
+   *   autoMlClient.exportEvaluatedExamplesAsync(request).get();
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture exportEvaluatedExamplesAsync( + ExportEvaluatedExamplesRequest request) { + return exportEvaluatedExamplesOperationCallable().futureCall(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Exports examples on which the model was evaluated (i.e. which were in the TEST set of the + * dataset the model was created from), together with their ground truth annotations and the + * annotations created (predicted) by the model. The examples, ground truth and predictions are + * exported in the state they were at the moment the model was evaluated. + * + *

This export is available only for 30 days since the model evaluation is created. + * + *

Currently only available for Tables. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   ExportEvaluatedExamplesOutputConfig outputConfig = ExportEvaluatedExamplesOutputConfig.newBuilder().build();
+   *   ExportEvaluatedExamplesRequest request = ExportEvaluatedExamplesRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .setOutputConfig(outputConfig)
+   *     .build();
+   *   OperationFuture<Empty, OperationMetadata> future = autoMlClient.exportEvaluatedExamplesOperationCallable().futureCall(request);
+   *   // Do something
+   *   future.get();
+   * }
+   *
+ */ + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public final OperationCallable + exportEvaluatedExamplesOperationCallable() { + return stub.exportEvaluatedExamplesOperationCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Exports examples on which the model was evaluated (i.e. which were in the TEST set of the + * dataset the model was created from), together with their ground truth annotations and the + * annotations created (predicted) by the model. The examples, ground truth and predictions are + * exported in the state they were at the moment the model was evaluated. + * + *

This export is available only for 30 days since the model evaluation is created. + * + *

Currently only available for Tables. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   ExportEvaluatedExamplesOutputConfig outputConfig = ExportEvaluatedExamplesOutputConfig.newBuilder().build();
+   *   ExportEvaluatedExamplesRequest request = ExportEvaluatedExamplesRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .setOutputConfig(outputConfig)
+   *     .build();
+   *   ApiFuture<Operation> future = autoMlClient.exportEvaluatedExamplesCallable().futureCall(request);
+   *   // Do something
+   *   future.get();
+   * }
+   *
+ */ + public final UnaryCallable + exportEvaluatedExamplesCallable() { + return stub.exportEvaluatedExamplesCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists model evaluations. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName parent = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   for (ModelEvaluation element : autoMlClient.listModelEvaluations(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   *
+ * + * @param parent Required. Resource name of the model to list the model evaluations for. If + * modelId is set as "-", this will list model evaluations from across all models of the + * parent location. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ListModelEvaluationsPagedResponse listModelEvaluations(ModelName parent) { + ListModelEvaluationsRequest request = + ListModelEvaluationsRequest.newBuilder() + .setParent(parent == null ? null : parent.toString()) + .build(); + return listModelEvaluations(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists model evaluations. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName parent = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   for (ModelEvaluation element : autoMlClient.listModelEvaluations(parent.toString()).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   *
+ * + * @param parent Required. Resource name of the model to list the model evaluations for. If + * modelId is set as "-", this will list model evaluations from across all models of the + * parent location. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ListModelEvaluationsPagedResponse listModelEvaluations(String parent) { + ListModelEvaluationsRequest request = + ListModelEvaluationsRequest.newBuilder().setParent(parent).build(); + return listModelEvaluations(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists model evaluations. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName parent = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   ListModelEvaluationsRequest request = ListModelEvaluationsRequest.newBuilder()
+   *     .setParent(parent.toString())
+   *     .build();
+   *   for (ModelEvaluation element : autoMlClient.listModelEvaluations(request).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ListModelEvaluationsPagedResponse listModelEvaluations( + ListModelEvaluationsRequest request) { + return listModelEvaluationsPagedCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists model evaluations. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName parent = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   ListModelEvaluationsRequest request = ListModelEvaluationsRequest.newBuilder()
+   *     .setParent(parent.toString())
+   *     .build();
+   *   ApiFuture<ListModelEvaluationsPagedResponse> future = autoMlClient.listModelEvaluationsPagedCallable().futureCall(request);
+   *   // Do something
+   *   for (ModelEvaluation element : future.get().iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   *
+ */ + public final UnaryCallable + listModelEvaluationsPagedCallable() { + return stub.listModelEvaluationsPagedCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists model evaluations. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName parent = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   ListModelEvaluationsRequest request = ListModelEvaluationsRequest.newBuilder()
+   *     .setParent(parent.toString())
+   *     .build();
+   *   while (true) {
+   *     ListModelEvaluationsResponse response = autoMlClient.listModelEvaluationsCallable().call(request);
+   *     for (ModelEvaluation element : response.getModelEvaluationList()) {
+   *       // doThingsWith(element);
+   *     }
+   *     String nextPageToken = response.getNextPageToken();
+   *     if (!Strings.isNullOrEmpty(nextPageToken)) {
+   *       request = request.toBuilder().setPageToken(nextPageToken).build();
+   *     } else {
+   *       break;
+   *     }
+   *   }
+   * }
+   *
+ */ + public final UnaryCallable + listModelEvaluationsCallable() { + return stub.listModelEvaluationsCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Creates a dataset. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   Dataset dataset = Dataset.newBuilder().build();
+   *   Dataset response = autoMlClient.createDataset(parent, dataset);
+   * }
+   *
+ * + * @param parent Required. The resource name of the project to create the dataset for. + * @param dataset Required. The dataset to create. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final Dataset createDataset(LocationName parent, Dataset dataset) { + CreateDatasetRequest request = + CreateDatasetRequest.newBuilder() + .setParent(parent == null ? null : parent.toString()) + .setDataset(dataset) + .build(); + return createDataset(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Creates a dataset. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   Dataset dataset = Dataset.newBuilder().build();
+   *   Dataset response = autoMlClient.createDataset(parent.toString(), dataset);
+   * }
+   *
+ * + * @param parent Required. The resource name of the project to create the dataset for. + * @param dataset Required. The dataset to create. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final Dataset createDataset(String parent, Dataset dataset) { + CreateDatasetRequest request = + CreateDatasetRequest.newBuilder().setParent(parent).setDataset(dataset).build(); + return createDataset(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Creates a dataset. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   Dataset dataset = Dataset.newBuilder().build();
+   *   CreateDatasetRequest request = CreateDatasetRequest.newBuilder()
+   *     .setParent(parent.toString())
+   *     .setDataset(dataset)
+   *     .build();
+   *   Dataset response = autoMlClient.createDataset(request);
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final Dataset createDataset(CreateDatasetRequest request) { + return createDatasetCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Creates a dataset. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   Dataset dataset = Dataset.newBuilder().build();
+   *   CreateDatasetRequest request = CreateDatasetRequest.newBuilder()
+   *     .setParent(parent.toString())
+   *     .setDataset(dataset)
+   *     .build();
+   *   ApiFuture<Dataset> future = autoMlClient.createDatasetCallable().futureCall(request);
+   *   // Do something
+   *   Dataset response = future.get();
+   * }
+   *
+ */ + public final UnaryCallable createDatasetCallable() { + return stub.createDatasetCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets a dataset. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   Dataset response = autoMlClient.getDataset(name);
+   * }
+   *
+ * + * @param name Required. The resource name of the dataset to retrieve. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final Dataset getDataset(DatasetName name) { + GetDatasetRequest request = + GetDatasetRequest.newBuilder().setName(name == null ? null : name.toString()).build(); + return getDataset(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets a dataset. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   Dataset response = autoMlClient.getDataset(name.toString());
+   * }
+   *
+ * + * @param name Required. The resource name of the dataset to retrieve. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final Dataset getDataset(String name) { + GetDatasetRequest request = GetDatasetRequest.newBuilder().setName(name).build(); + return getDataset(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets a dataset. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   GetDatasetRequest request = GetDatasetRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .build();
+   *   Dataset response = autoMlClient.getDataset(request);
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final Dataset getDataset(GetDatasetRequest request) { + return getDatasetCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets a dataset. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   GetDatasetRequest request = GetDatasetRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .build();
+   *   ApiFuture<Dataset> future = autoMlClient.getDatasetCallable().futureCall(request);
+   *   // Do something
+   *   Dataset response = future.get();
+   * }
+   *
+ */ + public final UnaryCallable getDatasetCallable() { + return stub.getDatasetCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists datasets in a project. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   for (Dataset element : autoMlClient.listDatasets(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   *
+ * + * @param parent Required. The resource name of the project from which to list datasets. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ListDatasetsPagedResponse listDatasets(LocationName parent) { + ListDatasetsRequest request = + ListDatasetsRequest.newBuilder() + .setParent(parent == null ? null : parent.toString()) + .build(); + return listDatasets(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists datasets in a project. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   for (Dataset element : autoMlClient.listDatasets(parent.toString()).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   *
+ * + * @param parent Required. The resource name of the project from which to list datasets. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ListDatasetsPagedResponse listDatasets(String parent) { + ListDatasetsRequest request = ListDatasetsRequest.newBuilder().setParent(parent).build(); + return listDatasets(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists datasets in a project. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   ListDatasetsRequest request = ListDatasetsRequest.newBuilder()
+   *     .setParent(parent.toString())
+   *     .build();
+   *   for (Dataset element : autoMlClient.listDatasets(request).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ListDatasetsPagedResponse listDatasets(ListDatasetsRequest request) { + return listDatasetsPagedCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists datasets in a project. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   ListDatasetsRequest request = ListDatasetsRequest.newBuilder()
+   *     .setParent(parent.toString())
+   *     .build();
+   *   ApiFuture<ListDatasetsPagedResponse> future = autoMlClient.listDatasetsPagedCallable().futureCall(request);
+   *   // Do something
+   *   for (Dataset element : future.get().iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   *
+ */ + public final UnaryCallable + listDatasetsPagedCallable() { + return stub.listDatasetsPagedCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists datasets in a project. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   ListDatasetsRequest request = ListDatasetsRequest.newBuilder()
+   *     .setParent(parent.toString())
+   *     .build();
+   *   while (true) {
+   *     ListDatasetsResponse response = autoMlClient.listDatasetsCallable().call(request);
+   *     for (Dataset element : response.getDatasetsList()) {
+   *       // doThingsWith(element);
+   *     }
+   *     String nextPageToken = response.getNextPageToken();
+   *     if (!Strings.isNullOrEmpty(nextPageToken)) {
+   *       request = request.toBuilder().setPageToken(nextPageToken).build();
+   *     } else {
+   *       break;
+   *     }
+   *   }
+   * }
+   *
+ */ + public final UnaryCallable listDatasetsCallable() { + return stub.listDatasetsCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Updates a dataset. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   Dataset dataset = Dataset.newBuilder().build();
+   *   Dataset response = autoMlClient.updateDataset(dataset);
+   * }
+   *
+ * + * @param dataset Required. The dataset which replaces the resource on the server. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final Dataset updateDataset(Dataset dataset) { + UpdateDatasetRequest request = UpdateDatasetRequest.newBuilder().setDataset(dataset).build(); + return updateDataset(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Updates a dataset. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   Dataset dataset = Dataset.newBuilder().build();
+   *   UpdateDatasetRequest request = UpdateDatasetRequest.newBuilder()
+   *     .setDataset(dataset)
+   *     .build();
+   *   Dataset response = autoMlClient.updateDataset(request);
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final Dataset updateDataset(UpdateDatasetRequest request) { + return updateDatasetCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Updates a dataset. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   Dataset dataset = Dataset.newBuilder().build();
+   *   UpdateDatasetRequest request = UpdateDatasetRequest.newBuilder()
+   *     .setDataset(dataset)
+   *     .build();
+   *   ApiFuture<Dataset> future = autoMlClient.updateDatasetCallable().futureCall(request);
+   *   // Do something
+   *   Dataset response = future.get();
+   * }
+   *
+ */ + public final UnaryCallable updateDatasetCallable() { + return stub.updateDatasetCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets an annotation spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   AnnotationSpecName name = AnnotationSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]");
+   *   AnnotationSpec response = autoMlClient.getAnnotationSpec(name);
+   * }
+   *
+ * + * @param name Required. The resource name of the annotation spec to retrieve. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final AnnotationSpec getAnnotationSpec(AnnotationSpecName name) { + GetAnnotationSpecRequest request = + GetAnnotationSpecRequest.newBuilder() + .setName(name == null ? null : name.toString()) + .build(); + return getAnnotationSpec(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets an annotation spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   AnnotationSpecName name = AnnotationSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]");
+   *   AnnotationSpec response = autoMlClient.getAnnotationSpec(name.toString());
+   * }
+   *
+ * + * @param name Required. The resource name of the annotation spec to retrieve. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final AnnotationSpec getAnnotationSpec(String name) { + GetAnnotationSpecRequest request = GetAnnotationSpecRequest.newBuilder().setName(name).build(); + return getAnnotationSpec(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets an annotation spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   AnnotationSpecName name = AnnotationSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]");
+   *   GetAnnotationSpecRequest request = GetAnnotationSpecRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .build();
+   *   AnnotationSpec response = autoMlClient.getAnnotationSpec(request);
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final AnnotationSpec getAnnotationSpec(GetAnnotationSpecRequest request) { + return getAnnotationSpecCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets an annotation spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   AnnotationSpecName name = AnnotationSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]");
+   *   GetAnnotationSpecRequest request = GetAnnotationSpecRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .build();
+   *   ApiFuture<AnnotationSpec> future = autoMlClient.getAnnotationSpecCallable().futureCall(request);
+   *   // Do something
+   *   AnnotationSpec response = future.get();
+   * }
+   *
+ */ + public final UnaryCallable getAnnotationSpecCallable() { + return stub.getAnnotationSpecCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets a table spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   TableSpecName name = TableSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]");
+   *   TableSpec response = autoMlClient.getTableSpec(name);
+   * }
+   *
+ * + * @param name Required. The resource name of the table spec to retrieve. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final TableSpec getTableSpec(TableSpecName name) { + GetTableSpecRequest request = + GetTableSpecRequest.newBuilder().setName(name == null ? null : name.toString()).build(); + return getTableSpec(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets a table spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   TableSpecName name = TableSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]");
+   *   TableSpec response = autoMlClient.getTableSpec(name.toString());
+   * }
+   *
+ * + * @param name Required. The resource name of the table spec to retrieve. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final TableSpec getTableSpec(String name) { + GetTableSpecRequest request = GetTableSpecRequest.newBuilder().setName(name).build(); + return getTableSpec(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets a table spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   TableSpecName name = TableSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]");
+   *   GetTableSpecRequest request = GetTableSpecRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .build();
+   *   TableSpec response = autoMlClient.getTableSpec(request);
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final TableSpec getTableSpec(GetTableSpecRequest request) { + return getTableSpecCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets a table spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   TableSpecName name = TableSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]");
+   *   GetTableSpecRequest request = GetTableSpecRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .build();
+   *   ApiFuture<TableSpec> future = autoMlClient.getTableSpecCallable().futureCall(request);
+   *   // Do something
+   *   TableSpec response = future.get();
+   * }
+   *
+ */ + public final UnaryCallable getTableSpecCallable() { + return stub.getTableSpecCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists table specs in a dataset. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   DatasetName parent = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   for (TableSpec element : autoMlClient.listTableSpecs(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   *
+ * + * @param parent Required. The resource name of the dataset to list table specs from. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ListTableSpecsPagedResponse listTableSpecs(DatasetName parent) { + ListTableSpecsRequest request = + ListTableSpecsRequest.newBuilder() + .setParent(parent == null ? null : parent.toString()) + .build(); + return listTableSpecs(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists table specs in a dataset. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   DatasetName parent = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   for (TableSpec element : autoMlClient.listTableSpecs(parent.toString()).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   *
+ * + * @param parent Required. The resource name of the dataset to list table specs from. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ListTableSpecsPagedResponse listTableSpecs(String parent) { + ListTableSpecsRequest request = ListTableSpecsRequest.newBuilder().setParent(parent).build(); + return listTableSpecs(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists table specs in a dataset. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   DatasetName parent = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   ListTableSpecsRequest request = ListTableSpecsRequest.newBuilder()
+   *     .setParent(parent.toString())
+   *     .build();
+   *   for (TableSpec element : autoMlClient.listTableSpecs(request).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ListTableSpecsPagedResponse listTableSpecs(ListTableSpecsRequest request) { + return listTableSpecsPagedCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists table specs in a dataset. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   DatasetName parent = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   ListTableSpecsRequest request = ListTableSpecsRequest.newBuilder()
+   *     .setParent(parent.toString())
+   *     .build();
+   *   ApiFuture<ListTableSpecsPagedResponse> future = autoMlClient.listTableSpecsPagedCallable().futureCall(request);
+   *   // Do something
+   *   for (TableSpec element : future.get().iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   *
+ */ + public final UnaryCallable + listTableSpecsPagedCallable() { + return stub.listTableSpecsPagedCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists table specs in a dataset. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   DatasetName parent = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   ListTableSpecsRequest request = ListTableSpecsRequest.newBuilder()
+   *     .setParent(parent.toString())
+   *     .build();
+   *   while (true) {
+   *     ListTableSpecsResponse response = autoMlClient.listTableSpecsCallable().call(request);
+   *     for (TableSpec element : response.getTableSpecsList()) {
+   *       // doThingsWith(element);
+   *     }
+   *     String nextPageToken = response.getNextPageToken();
+   *     if (!Strings.isNullOrEmpty(nextPageToken)) {
+   *       request = request.toBuilder().setPageToken(nextPageToken).build();
+   *     } else {
+   *       break;
+   *     }
+   *   }
+   * }
+   *
+ */ + public final UnaryCallable + listTableSpecsCallable() { + return stub.listTableSpecsCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Updates a table spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   TableSpec tableSpec = TableSpec.newBuilder().build();
+   *   TableSpec response = autoMlClient.updateTableSpec(tableSpec);
+   * }
+   *
+ * + * @param tableSpec Required. The table spec which replaces the resource on the server. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final TableSpec updateTableSpec(TableSpec tableSpec) { + UpdateTableSpecRequest request = + UpdateTableSpecRequest.newBuilder().setTableSpec(tableSpec).build(); + return updateTableSpec(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Updates a table spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   TableSpec tableSpec = TableSpec.newBuilder().build();
+   *   UpdateTableSpecRequest request = UpdateTableSpecRequest.newBuilder()
+   *     .setTableSpec(tableSpec)
+   *     .build();
+   *   TableSpec response = autoMlClient.updateTableSpec(request);
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final TableSpec updateTableSpec(UpdateTableSpecRequest request) { + return updateTableSpecCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Updates a table spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   TableSpec tableSpec = TableSpec.newBuilder().build();
+   *   UpdateTableSpecRequest request = UpdateTableSpecRequest.newBuilder()
+   *     .setTableSpec(tableSpec)
+   *     .build();
+   *   ApiFuture<TableSpec> future = autoMlClient.updateTableSpecCallable().futureCall(request);
+   *   // Do something
+   *   TableSpec response = future.get();
+   * }
+   *
+ */ + public final UnaryCallable updateTableSpecCallable() { + return stub.updateTableSpecCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets a column spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ColumnSpecName name = ColumnSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]", "[COLUMN_SPEC]");
+   *   ColumnSpec response = autoMlClient.getColumnSpec(name);
+   * }
+   *
+ * + * @param name Required. The resource name of the column spec to retrieve. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ColumnSpec getColumnSpec(ColumnSpecName name) { + GetColumnSpecRequest request = + GetColumnSpecRequest.newBuilder().setName(name == null ? null : name.toString()).build(); + return getColumnSpec(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets a column spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ColumnSpecName name = ColumnSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]", "[COLUMN_SPEC]");
+   *   ColumnSpec response = autoMlClient.getColumnSpec(name.toString());
+   * }
+   *
+ * + * @param name Required. The resource name of the column spec to retrieve. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ColumnSpec getColumnSpec(String name) { + GetColumnSpecRequest request = GetColumnSpecRequest.newBuilder().setName(name).build(); + return getColumnSpec(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets a column spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ColumnSpecName name = ColumnSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]", "[COLUMN_SPEC]");
+   *   GetColumnSpecRequest request = GetColumnSpecRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .build();
+   *   ColumnSpec response = autoMlClient.getColumnSpec(request);
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ColumnSpec getColumnSpec(GetColumnSpecRequest request) { + return getColumnSpecCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets a column spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ColumnSpecName name = ColumnSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]", "[COLUMN_SPEC]");
+   *   GetColumnSpecRequest request = GetColumnSpecRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .build();
+   *   ApiFuture<ColumnSpec> future = autoMlClient.getColumnSpecCallable().futureCall(request);
+   *   // Do something
+   *   ColumnSpec response = future.get();
+   * }
+   *
+ */ + public final UnaryCallable getColumnSpecCallable() { + return stub.getColumnSpecCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists column specs in a table spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   TableSpecName parent = TableSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]");
+   *   for (ColumnSpec element : autoMlClient.listColumnSpecs(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   *
+ * + * @param parent Required. The resource name of the table spec to list column specs from. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ListColumnSpecsPagedResponse listColumnSpecs(TableSpecName parent) { + ListColumnSpecsRequest request = + ListColumnSpecsRequest.newBuilder() + .setParent(parent == null ? null : parent.toString()) + .build(); + return listColumnSpecs(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists column specs in a table spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   TableSpecName parent = TableSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]");
+   *   for (ColumnSpec element : autoMlClient.listColumnSpecs(parent.toString()).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   *
+ * + * @param parent Required. The resource name of the table spec to list column specs from. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ListColumnSpecsPagedResponse listColumnSpecs(String parent) { + ListColumnSpecsRequest request = ListColumnSpecsRequest.newBuilder().setParent(parent).build(); + return listColumnSpecs(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists column specs in a table spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   TableSpecName parent = TableSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]");
+   *   ListColumnSpecsRequest request = ListColumnSpecsRequest.newBuilder()
+   *     .setParent(parent.toString())
+   *     .build();
+   *   for (ColumnSpec element : autoMlClient.listColumnSpecs(request).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ListColumnSpecsPagedResponse listColumnSpecs(ListColumnSpecsRequest request) { + return listColumnSpecsPagedCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists column specs in a table spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   TableSpecName parent = TableSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]");
+   *   ListColumnSpecsRequest request = ListColumnSpecsRequest.newBuilder()
+   *     .setParent(parent.toString())
+   *     .build();
+   *   ApiFuture<ListColumnSpecsPagedResponse> future = autoMlClient.listColumnSpecsPagedCallable().futureCall(request);
+   *   // Do something
+   *   for (ColumnSpec element : future.get().iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   *
+ */ + public final UnaryCallable + listColumnSpecsPagedCallable() { + return stub.listColumnSpecsPagedCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists column specs in a table spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   TableSpecName parent = TableSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]");
+   *   ListColumnSpecsRequest request = ListColumnSpecsRequest.newBuilder()
+   *     .setParent(parent.toString())
+   *     .build();
+   *   while (true) {
+   *     ListColumnSpecsResponse response = autoMlClient.listColumnSpecsCallable().call(request);
+   *     for (ColumnSpec element : response.getColumnSpecsList()) {
+   *       // doThingsWith(element);
+   *     }
+   *     String nextPageToken = response.getNextPageToken();
+   *     if (!Strings.isNullOrEmpty(nextPageToken)) {
+   *       request = request.toBuilder().setPageToken(nextPageToken).build();
+   *     } else {
+   *       break;
+   *     }
+   *   }
+   * }
+   *
+ */ + public final UnaryCallable + listColumnSpecsCallable() { + return stub.listColumnSpecsCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Updates a column spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ColumnSpec columnSpec = ColumnSpec.newBuilder().build();
+   *   ColumnSpec response = autoMlClient.updateColumnSpec(columnSpec);
+   * }
+   *
+ * + * @param columnSpec Required. The column spec which replaces the resource on the server. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ColumnSpec updateColumnSpec(ColumnSpec columnSpec) { + UpdateColumnSpecRequest request = + UpdateColumnSpecRequest.newBuilder().setColumnSpec(columnSpec).build(); + return updateColumnSpec(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Updates a column spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ColumnSpec columnSpec = ColumnSpec.newBuilder().build();
+   *   UpdateColumnSpecRequest request = UpdateColumnSpecRequest.newBuilder()
+   *     .setColumnSpec(columnSpec)
+   *     .build();
+   *   ColumnSpec response = autoMlClient.updateColumnSpec(request);
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ColumnSpec updateColumnSpec(UpdateColumnSpecRequest request) { + return updateColumnSpecCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Updates a column spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ColumnSpec columnSpec = ColumnSpec.newBuilder().build();
+   *   UpdateColumnSpecRequest request = UpdateColumnSpecRequest.newBuilder()
+   *     .setColumnSpec(columnSpec)
+   *     .build();
+   *   ApiFuture<ColumnSpec> future = autoMlClient.updateColumnSpecCallable().futureCall(request);
+   *   // Do something
+   *   ColumnSpec response = future.get();
+   * }
+   *
+ */ + public final UnaryCallable updateColumnSpecCallable() { + return stub.updateColumnSpecCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field + * when it completes. When you create a model, several model evaluations are created for it: a + * global evaluation, and one evaluation for each annotation spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   Model model = Model.newBuilder().build();
+   *   Model response = autoMlClient.createModelAsync(parent, model).get();
+   * }
+   *
+ * + * @param parent Required. Resource name of the parent project where the model is being created. + * @param model Required. The model to create. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture createModelAsync( + LocationName parent, Model model) { + CreateModelRequest request = + CreateModelRequest.newBuilder() + .setParent(parent == null ? null : parent.toString()) + .setModel(model) + .build(); + return createModelAsync(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field + * when it completes. When you create a model, several model evaluations are created for it: a + * global evaluation, and one evaluation for each annotation spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   Model model = Model.newBuilder().build();
+   *   Model response = autoMlClient.createModelAsync(parent.toString(), model).get();
+   * }
+   *
+ * + * @param parent Required. Resource name of the parent project where the model is being created. + * @param model Required. The model to create. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture createModelAsync( + String parent, Model model) { + CreateModelRequest request = + CreateModelRequest.newBuilder().setParent(parent).setModel(model).build(); + return createModelAsync(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field + * when it completes. When you create a model, several model evaluations are created for it: a + * global evaluation, and one evaluation for each annotation spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   Model model = Model.newBuilder().build();
+   *   CreateModelRequest request = CreateModelRequest.newBuilder()
+   *     .setParent(parent.toString())
+   *     .setModel(model)
+   *     .build();
+   *   Model response = autoMlClient.createModelAsync(request).get();
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture createModelAsync( + CreateModelRequest request) { + return createModelOperationCallable().futureCall(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field + * when it completes. When you create a model, several model evaluations are created for it: a + * global evaluation, and one evaluation for each annotation spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   Model model = Model.newBuilder().build();
+   *   CreateModelRequest request = CreateModelRequest.newBuilder()
+   *     .setParent(parent.toString())
+   *     .setModel(model)
+   *     .build();
+   *   OperationFuture<Model, OperationMetadata> future = autoMlClient.createModelOperationCallable().futureCall(request);
+   *   // Do something
+   *   Model response = future.get();
+   * }
+   *
+ */ + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public final OperationCallable + createModelOperationCallable() { + return stub.createModelOperationCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field + * when it completes. When you create a model, several model evaluations are created for it: a + * global evaluation, and one evaluation for each annotation spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   Model model = Model.newBuilder().build();
+   *   CreateModelRequest request = CreateModelRequest.newBuilder()
+   *     .setParent(parent.toString())
+   *     .setModel(model)
+   *     .build();
+   *   ApiFuture<Operation> future = autoMlClient.createModelCallable().futureCall(request);
+   *   // Do something
+   *   Operation response = future.get();
+   * }
+   *
+ */ + public final UnaryCallable createModelCallable() { + return stub.createModelCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets a model. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   Model response = autoMlClient.getModel(name);
+   * }
+   *
+ * + * @param name Required. Resource name of the model. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final Model getModel(ModelName name) { + GetModelRequest request = + GetModelRequest.newBuilder().setName(name == null ? null : name.toString()).build(); + return getModel(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets a model. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   Model response = autoMlClient.getModel(name.toString());
+   * }
+   *
+ * + * @param name Required. Resource name of the model. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final Model getModel(String name) { + GetModelRequest request = GetModelRequest.newBuilder().setName(name).build(); + return getModel(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets a model. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   GetModelRequest request = GetModelRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .build();
+   *   Model response = autoMlClient.getModel(request);
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final Model getModel(GetModelRequest request) { + return getModelCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets a model. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   GetModelRequest request = GetModelRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .build();
+   *   ApiFuture<Model> future = autoMlClient.getModelCallable().futureCall(request);
+   *   // Do something
+   *   Model response = future.get();
+   * }
+   *
+ */ + public final UnaryCallable getModelCallable() { + return stub.getModelCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists models. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   for (Model element : autoMlClient.listModels(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   *
+ * + * @param parent Required. Resource name of the project, from which to list the models. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ListModelsPagedResponse listModels(LocationName parent) { + ListModelsRequest request = + ListModelsRequest.newBuilder().setParent(parent == null ? null : parent.toString()).build(); + return listModels(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists models. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   for (Model element : autoMlClient.listModels(parent.toString()).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   *
+ * + * @param parent Required. Resource name of the project, from which to list the models. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ListModelsPagedResponse listModels(String parent) { + ListModelsRequest request = ListModelsRequest.newBuilder().setParent(parent).build(); + return listModels(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists models. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   ListModelsRequest request = ListModelsRequest.newBuilder()
+   *     .setParent(parent.toString())
+   *     .build();
+   *   for (Model element : autoMlClient.listModels(request).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ListModelsPagedResponse listModels(ListModelsRequest request) { + return listModelsPagedCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists models. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   ListModelsRequest request = ListModelsRequest.newBuilder()
+   *     .setParent(parent.toString())
+   *     .build();
+   *   ApiFuture<ListModelsPagedResponse> future = autoMlClient.listModelsPagedCallable().futureCall(request);
+   *   // Do something
+   *   for (Model element : future.get().iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   *
+ */ + public final UnaryCallable listModelsPagedCallable() { + return stub.listModelsPagedCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists models. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   ListModelsRequest request = ListModelsRequest.newBuilder()
+   *     .setParent(parent.toString())
+   *     .build();
+   *   while (true) {
+   *     ListModelsResponse response = autoMlClient.listModelsCallable().call(request);
+   *     for (Model element : response.getModelList()) {
+   *       // doThingsWith(element);
+   *     }
+   *     String nextPageToken = response.getNextPageToken();
+   *     if (!Strings.isNullOrEmpty(nextPageToken)) {
+   *       request = request.toBuilder().setPageToken(nextPageToken).build();
+   *     } else {
+   *       break;
+   *     }
+   *   }
+   * }
+   *
+ */ + public final UnaryCallable listModelsCallable() { + return stub.listModelsCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Deploys a model. If a model is already deployed, deploying it with the same parameters has no + * effect. Deploying with different parametrs (as e.g. changing + * + *

[node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number]) + * will reset the deployment state without pausing the model's availability. + * + *

Only applicable for Text Classification, Image Object Detection , Tables, and Image + * Segmentation; all other domains manage deployment automatically. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   autoMlClient.deployModelAsync(name).get();
+   * }
+   *
+ * + * @param name Required. Resource name of the model to deploy. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture deployModelAsync(ModelName name) { + DeployModelRequest request = + DeployModelRequest.newBuilder().setName(name == null ? null : name.toString()).build(); + return deployModelAsync(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Deploys a model. If a model is already deployed, deploying it with the same parameters has no + * effect. Deploying with different parametrs (as e.g. changing + * + *

[node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number]) + * will reset the deployment state without pausing the model's availability. + * + *

Only applicable for Text Classification, Image Object Detection , Tables, and Image + * Segmentation; all other domains manage deployment automatically. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   autoMlClient.deployModelAsync(name.toString()).get();
+   * }
+   *
+ * + * @param name Required. Resource name of the model to deploy. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture deployModelAsync(String name) { + DeployModelRequest request = DeployModelRequest.newBuilder().setName(name).build(); + return deployModelAsync(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Deploys a model. If a model is already deployed, deploying it with the same parameters has no + * effect. Deploying with different parametrs (as e.g. changing + * + *

[node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number]) + * will reset the deployment state without pausing the model's availability. + * + *

Only applicable for Text Classification, Image Object Detection , Tables, and Image + * Segmentation; all other domains manage deployment automatically. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   DeployModelRequest request = DeployModelRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .build();
+   *   autoMlClient.deployModelAsync(request).get();
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture deployModelAsync( + DeployModelRequest request) { + return deployModelOperationCallable().futureCall(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Deploys a model. If a model is already deployed, deploying it with the same parameters has no + * effect. Deploying with different parametrs (as e.g. changing + * + *

[node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number]) + * will reset the deployment state without pausing the model's availability. + * + *

Only applicable for Text Classification, Image Object Detection , Tables, and Image + * Segmentation; all other domains manage deployment automatically. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   DeployModelRequest request = DeployModelRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .build();
+   *   OperationFuture<Empty, OperationMetadata> future = autoMlClient.deployModelOperationCallable().futureCall(request);
+   *   // Do something
+   *   future.get();
+   * }
+   *
+ */ + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public final OperationCallable + deployModelOperationCallable() { + return stub.deployModelOperationCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Deploys a model. If a model is already deployed, deploying it with the same parameters has no + * effect. Deploying with different parametrs (as e.g. changing + * + *

[node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number]) + * will reset the deployment state without pausing the model's availability. + * + *

Only applicable for Text Classification, Image Object Detection , Tables, and Image + * Segmentation; all other domains manage deployment automatically. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   DeployModelRequest request = DeployModelRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .build();
+   *   ApiFuture<Operation> future = autoMlClient.deployModelCallable().futureCall(request);
+   *   // Do something
+   *   future.get();
+   * }
+   *
+ */ + public final UnaryCallable deployModelCallable() { + return stub.deployModelCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Undeploys a model. If the model is not deployed this method has no effect. + * + *

Only applicable for Text Classification, Image Object Detection and Tables; all other + * domains manage deployment automatically. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   autoMlClient.undeployModelAsync(name).get();
+   * }
+   *
+ * + * @param name Required. Resource name of the model to undeploy. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture undeployModelAsync(ModelName name) { + UndeployModelRequest request = + UndeployModelRequest.newBuilder().setName(name == null ? null : name.toString()).build(); + return undeployModelAsync(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Undeploys a model. If the model is not deployed this method has no effect. + * + *

Only applicable for Text Classification, Image Object Detection and Tables; all other + * domains manage deployment automatically. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   autoMlClient.undeployModelAsync(name.toString()).get();
+   * }
+   *
+ * + * @param name Required. Resource name of the model to undeploy. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture undeployModelAsync(String name) { + UndeployModelRequest request = UndeployModelRequest.newBuilder().setName(name).build(); + return undeployModelAsync(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Undeploys a model. If the model is not deployed this method has no effect. + * + *

Only applicable for Text Classification, Image Object Detection and Tables; all other + * domains manage deployment automatically. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   UndeployModelRequest request = UndeployModelRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .build();
+   *   autoMlClient.undeployModelAsync(request).get();
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture undeployModelAsync( + UndeployModelRequest request) { + return undeployModelOperationCallable().futureCall(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Undeploys a model. If the model is not deployed this method has no effect. + * + *

Only applicable for Text Classification, Image Object Detection and Tables; all other + * domains manage deployment automatically. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   UndeployModelRequest request = UndeployModelRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .build();
+   *   OperationFuture<Empty, OperationMetadata> future = autoMlClient.undeployModelOperationCallable().futureCall(request);
+   *   // Do something
+   *   future.get();
+   * }
+   *
+ */ + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public final OperationCallable + undeployModelOperationCallable() { + return stub.undeployModelOperationCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Undeploys a model. If the model is not deployed this method has no effect. + * + *

Only applicable for Text Classification, Image Object Detection and Tables; all other + * domains manage deployment automatically. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   UndeployModelRequest request = UndeployModelRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .build();
+   *   ApiFuture<Operation> future = autoMlClient.undeployModelCallable().futureCall(request);
+   *   // Do something
+   *   future.get();
+   * }
+   *
+ */ + public final UnaryCallable undeployModelCallable() { + return stub.undeployModelCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets a model evaluation. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelEvaluationName name = ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[MODEL_EVALUATION]");
+   *   ModelEvaluation response = autoMlClient.getModelEvaluation(name);
+   * }
+   *
+ * + * @param name Required. Resource name for the model evaluation. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ModelEvaluation getModelEvaluation(ModelEvaluationName name) { + GetModelEvaluationRequest request = + GetModelEvaluationRequest.newBuilder() + .setName(name == null ? null : name.toString()) + .build(); + return getModelEvaluation(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets a model evaluation. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelEvaluationName name = ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[MODEL_EVALUATION]");
+   *   ModelEvaluation response = autoMlClient.getModelEvaluation(name.toString());
+   * }
+   *
+ * + * @param name Required. Resource name for the model evaluation. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ModelEvaluation getModelEvaluation(String name) { + GetModelEvaluationRequest request = + GetModelEvaluationRequest.newBuilder().setName(name).build(); + return getModelEvaluation(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets a model evaluation. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelEvaluationName name = ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[MODEL_EVALUATION]");
+   *   GetModelEvaluationRequest request = GetModelEvaluationRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .build();
+   *   ModelEvaluation response = autoMlClient.getModelEvaluation(request);
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ModelEvaluation getModelEvaluation(GetModelEvaluationRequest request) { + return getModelEvaluationCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets a model evaluation. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ModelEvaluationName name = ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[MODEL_EVALUATION]");
+   *   GetModelEvaluationRequest request = GetModelEvaluationRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .build();
+   *   ApiFuture<ModelEvaluation> future = autoMlClient.getModelEvaluationCallable().futureCall(request);
+   *   // Do something
+   *   ModelEvaluation response = future.get();
+   * }
+   *
+ */ + public final UnaryCallable + getModelEvaluationCallable() { + return stub.getModelEvaluationCallable(); + } + + @Override + public final void close() { + stub.close(); + } + + @Override + public void shutdown() { + stub.shutdown(); + } + + @Override + public boolean isShutdown() { + return stub.isShutdown(); + } + + @Override + public boolean isTerminated() { + return stub.isTerminated(); + } + + @Override + public void shutdownNow() { + stub.shutdownNow(); + } + + @Override + public boolean awaitTermination(long duration, TimeUnit unit) throws InterruptedException { + return stub.awaitTermination(duration, unit); + } + + public static class ListModelEvaluationsPagedResponse + extends AbstractPagedListResponse< + ListModelEvaluationsRequest, + ListModelEvaluationsResponse, + ModelEvaluation, + ListModelEvaluationsPage, + ListModelEvaluationsFixedSizeCollection> { + + public static ApiFuture createAsync( + PageContext + context, + ApiFuture futureResponse) { + ApiFuture futurePage = + ListModelEvaluationsPage.createEmptyPage().createPageAsync(context, futureResponse); + return ApiFutures.transform( + futurePage, + new ApiFunction() { + @Override + public ListModelEvaluationsPagedResponse apply(ListModelEvaluationsPage input) { + return new ListModelEvaluationsPagedResponse(input); + } + }, + MoreExecutors.directExecutor()); + } + + private ListModelEvaluationsPagedResponse(ListModelEvaluationsPage page) { + super(page, ListModelEvaluationsFixedSizeCollection.createEmptyCollection()); + } + } + + public static class ListModelEvaluationsPage + extends AbstractPage< + ListModelEvaluationsRequest, + ListModelEvaluationsResponse, + ModelEvaluation, + ListModelEvaluationsPage> { + + private ListModelEvaluationsPage( + PageContext + context, + ListModelEvaluationsResponse response) { + super(context, response); + } + + private static ListModelEvaluationsPage createEmptyPage() { + return new ListModelEvaluationsPage(null, null); + } + + @Override + protected ListModelEvaluationsPage createPage( + PageContext + context, + ListModelEvaluationsResponse response) { + return new ListModelEvaluationsPage(context, response); + } + + @Override + public ApiFuture createPageAsync( + PageContext + context, + ApiFuture futureResponse) { + return super.createPageAsync(context, futureResponse); + } + } + + public static class ListModelEvaluationsFixedSizeCollection + extends AbstractFixedSizeCollection< + ListModelEvaluationsRequest, + ListModelEvaluationsResponse, + ModelEvaluation, + ListModelEvaluationsPage, + ListModelEvaluationsFixedSizeCollection> { + + private ListModelEvaluationsFixedSizeCollection( + List pages, int collectionSize) { + super(pages, collectionSize); + } + + private static ListModelEvaluationsFixedSizeCollection createEmptyCollection() { + return new ListModelEvaluationsFixedSizeCollection(null, 0); + } + + @Override + protected ListModelEvaluationsFixedSizeCollection createCollection( + List pages, int collectionSize) { + return new ListModelEvaluationsFixedSizeCollection(pages, collectionSize); + } + } + + public static class ListDatasetsPagedResponse + extends AbstractPagedListResponse< + ListDatasetsRequest, + ListDatasetsResponse, + Dataset, + ListDatasetsPage, + ListDatasetsFixedSizeCollection> { + + public static ApiFuture createAsync( + PageContext context, + ApiFuture futureResponse) { + ApiFuture futurePage = + ListDatasetsPage.createEmptyPage().createPageAsync(context, futureResponse); + return ApiFutures.transform( + futurePage, + new ApiFunction() { + @Override + public ListDatasetsPagedResponse apply(ListDatasetsPage input) { + return new ListDatasetsPagedResponse(input); + } + }, + MoreExecutors.directExecutor()); + } + + private ListDatasetsPagedResponse(ListDatasetsPage page) { + super(page, ListDatasetsFixedSizeCollection.createEmptyCollection()); + } + } + + public static class ListDatasetsPage + extends AbstractPage { + + private ListDatasetsPage( + PageContext context, + ListDatasetsResponse response) { + super(context, response); + } + + private static ListDatasetsPage createEmptyPage() { + return new ListDatasetsPage(null, null); + } + + @Override + protected ListDatasetsPage createPage( + PageContext context, + ListDatasetsResponse response) { + return new ListDatasetsPage(context, response); + } + + @Override + public ApiFuture createPageAsync( + PageContext context, + ApiFuture futureResponse) { + return super.createPageAsync(context, futureResponse); + } + } + + public static class ListDatasetsFixedSizeCollection + extends AbstractFixedSizeCollection< + ListDatasetsRequest, + ListDatasetsResponse, + Dataset, + ListDatasetsPage, + ListDatasetsFixedSizeCollection> { + + private ListDatasetsFixedSizeCollection(List pages, int collectionSize) { + super(pages, collectionSize); + } + + private static ListDatasetsFixedSizeCollection createEmptyCollection() { + return new ListDatasetsFixedSizeCollection(null, 0); + } + + @Override + protected ListDatasetsFixedSizeCollection createCollection( + List pages, int collectionSize) { + return new ListDatasetsFixedSizeCollection(pages, collectionSize); + } + } + + public static class ListTableSpecsPagedResponse + extends AbstractPagedListResponse< + ListTableSpecsRequest, + ListTableSpecsResponse, + TableSpec, + ListTableSpecsPage, + ListTableSpecsFixedSizeCollection> { + + public static ApiFuture createAsync( + PageContext context, + ApiFuture futureResponse) { + ApiFuture futurePage = + ListTableSpecsPage.createEmptyPage().createPageAsync(context, futureResponse); + return ApiFutures.transform( + futurePage, + new ApiFunction() { + @Override + public ListTableSpecsPagedResponse apply(ListTableSpecsPage input) { + return new ListTableSpecsPagedResponse(input); + } + }, + MoreExecutors.directExecutor()); + } + + private ListTableSpecsPagedResponse(ListTableSpecsPage page) { + super(page, ListTableSpecsFixedSizeCollection.createEmptyCollection()); + } + } + + public static class ListTableSpecsPage + extends AbstractPage< + ListTableSpecsRequest, ListTableSpecsResponse, TableSpec, ListTableSpecsPage> { + + private ListTableSpecsPage( + PageContext context, + ListTableSpecsResponse response) { + super(context, response); + } + + private static ListTableSpecsPage createEmptyPage() { + return new ListTableSpecsPage(null, null); + } + + @Override + protected ListTableSpecsPage createPage( + PageContext context, + ListTableSpecsResponse response) { + return new ListTableSpecsPage(context, response); + } + + @Override + public ApiFuture createPageAsync( + PageContext context, + ApiFuture futureResponse) { + return super.createPageAsync(context, futureResponse); + } + } + + public static class ListTableSpecsFixedSizeCollection + extends AbstractFixedSizeCollection< + ListTableSpecsRequest, + ListTableSpecsResponse, + TableSpec, + ListTableSpecsPage, + ListTableSpecsFixedSizeCollection> { + + private ListTableSpecsFixedSizeCollection(List pages, int collectionSize) { + super(pages, collectionSize); + } + + private static ListTableSpecsFixedSizeCollection createEmptyCollection() { + return new ListTableSpecsFixedSizeCollection(null, 0); + } + + @Override + protected ListTableSpecsFixedSizeCollection createCollection( + List pages, int collectionSize) { + return new ListTableSpecsFixedSizeCollection(pages, collectionSize); + } + } + + public static class ListColumnSpecsPagedResponse + extends AbstractPagedListResponse< + ListColumnSpecsRequest, + ListColumnSpecsResponse, + ColumnSpec, + ListColumnSpecsPage, + ListColumnSpecsFixedSizeCollection> { + + public static ApiFuture createAsync( + PageContext context, + ApiFuture futureResponse) { + ApiFuture futurePage = + ListColumnSpecsPage.createEmptyPage().createPageAsync(context, futureResponse); + return ApiFutures.transform( + futurePage, + new ApiFunction() { + @Override + public ListColumnSpecsPagedResponse apply(ListColumnSpecsPage input) { + return new ListColumnSpecsPagedResponse(input); + } + }, + MoreExecutors.directExecutor()); + } + + private ListColumnSpecsPagedResponse(ListColumnSpecsPage page) { + super(page, ListColumnSpecsFixedSizeCollection.createEmptyCollection()); + } + } + + public static class ListColumnSpecsPage + extends AbstractPage< + ListColumnSpecsRequest, ListColumnSpecsResponse, ColumnSpec, ListColumnSpecsPage> { + + private ListColumnSpecsPage( + PageContext context, + ListColumnSpecsResponse response) { + super(context, response); + } + + private static ListColumnSpecsPage createEmptyPage() { + return new ListColumnSpecsPage(null, null); + } + + @Override + protected ListColumnSpecsPage createPage( + PageContext context, + ListColumnSpecsResponse response) { + return new ListColumnSpecsPage(context, response); + } + + @Override + public ApiFuture createPageAsync( + PageContext context, + ApiFuture futureResponse) { + return super.createPageAsync(context, futureResponse); + } + } + + public static class ListColumnSpecsFixedSizeCollection + extends AbstractFixedSizeCollection< + ListColumnSpecsRequest, + ListColumnSpecsResponse, + ColumnSpec, + ListColumnSpecsPage, + ListColumnSpecsFixedSizeCollection> { + + private ListColumnSpecsFixedSizeCollection( + List pages, int collectionSize) { + super(pages, collectionSize); + } + + private static ListColumnSpecsFixedSizeCollection createEmptyCollection() { + return new ListColumnSpecsFixedSizeCollection(null, 0); + } + + @Override + protected ListColumnSpecsFixedSizeCollection createCollection( + List pages, int collectionSize) { + return new ListColumnSpecsFixedSizeCollection(pages, collectionSize); + } + } + + public static class ListModelsPagedResponse + extends AbstractPagedListResponse< + ListModelsRequest, + ListModelsResponse, + Model, + ListModelsPage, + ListModelsFixedSizeCollection> { + + public static ApiFuture createAsync( + PageContext context, + ApiFuture futureResponse) { + ApiFuture futurePage = + ListModelsPage.createEmptyPage().createPageAsync(context, futureResponse); + return ApiFutures.transform( + futurePage, + new ApiFunction() { + @Override + public ListModelsPagedResponse apply(ListModelsPage input) { + return new ListModelsPagedResponse(input); + } + }, + MoreExecutors.directExecutor()); + } + + private ListModelsPagedResponse(ListModelsPage page) { + super(page, ListModelsFixedSizeCollection.createEmptyCollection()); + } + } + + public static class ListModelsPage + extends AbstractPage { + + private ListModelsPage( + PageContext context, + ListModelsResponse response) { + super(context, response); + } + + private static ListModelsPage createEmptyPage() { + return new ListModelsPage(null, null); + } + + @Override + protected ListModelsPage createPage( + PageContext context, + ListModelsResponse response) { + return new ListModelsPage(context, response); + } + + @Override + public ApiFuture createPageAsync( + PageContext context, + ApiFuture futureResponse) { + return super.createPageAsync(context, futureResponse); + } + } + + public static class ListModelsFixedSizeCollection + extends AbstractFixedSizeCollection< + ListModelsRequest, + ListModelsResponse, + Model, + ListModelsPage, + ListModelsFixedSizeCollection> { + + private ListModelsFixedSizeCollection(List pages, int collectionSize) { + super(pages, collectionSize); + } + + private static ListModelsFixedSizeCollection createEmptyCollection() { + return new ListModelsFixedSizeCollection(null, 0); + } + + @Override + protected ListModelsFixedSizeCollection createCollection( + List pages, int collectionSize) { + return new ListModelsFixedSizeCollection(pages, collectionSize); + } + } +} diff --git a/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/AutoMlSettings.java b/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/AutoMlSettings.java new file mode 100644 index 000000000..12ed7303f --- /dev/null +++ b/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/AutoMlSettings.java @@ -0,0 +1,589 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package com.google.cloud.automl.v1beta1; + +import static com.google.cloud.automl.v1beta1.AutoMlClient.ListColumnSpecsPagedResponse; +import static com.google.cloud.automl.v1beta1.AutoMlClient.ListDatasetsPagedResponse; +import static com.google.cloud.automl.v1beta1.AutoMlClient.ListModelEvaluationsPagedResponse; +import static com.google.cloud.automl.v1beta1.AutoMlClient.ListModelsPagedResponse; +import static com.google.cloud.automl.v1beta1.AutoMlClient.ListTableSpecsPagedResponse; + +import com.google.api.core.ApiFunction; +import com.google.api.core.BetaApi; +import com.google.api.gax.core.GoogleCredentialsProvider; +import com.google.api.gax.core.InstantiatingExecutorProvider; +import com.google.api.gax.grpc.InstantiatingGrpcChannelProvider; +import com.google.api.gax.rpc.ApiClientHeaderProvider; +import com.google.api.gax.rpc.ClientContext; +import com.google.api.gax.rpc.ClientSettings; +import com.google.api.gax.rpc.OperationCallSettings; +import com.google.api.gax.rpc.PagedCallSettings; +import com.google.api.gax.rpc.TransportChannelProvider; +import com.google.api.gax.rpc.UnaryCallSettings; +import com.google.cloud.automl.v1beta1.stub.AutoMlStubSettings; +import com.google.longrunning.Operation; +import com.google.protobuf.Empty; +import java.io.IOException; +import java.util.List; +import javax.annotation.Generated; + +// AUTO-GENERATED DOCUMENTATION AND CLASS +/** + * Settings class to configure an instance of {@link AutoMlClient}. + * + *

The default instance has everything set to sensible defaults: + * + *

    + *
  • The default service address (automl.googleapis.com) and default port (443) are used. + *
  • Credentials are acquired automatically through Application Default Credentials. + *
  • Retries are configured for idempotent methods but not for non-idempotent methods. + *
+ * + *

The builder of this class is recursive, so contained classes are themselves builders. When + * build() is called, the tree of builders is called to create the complete settings object. + * + *

For example, to set the total timeout of createDataset to 30 seconds: + * + * 

+ * 
+ * AutoMlSettings.Builder autoMlSettingsBuilder =
+ *     AutoMlSettings.newBuilder();
+ * autoMlSettingsBuilder
+ *     .createDatasetSettings()
+ *     .setRetrySettings(
+ *         autoMlSettingsBuilder.createDatasetSettings().getRetrySettings().toBuilder()
+ *             .setTotalTimeout(Duration.ofSeconds(30))
+ *             .build());
+ * AutoMlSettings autoMlSettings = autoMlSettingsBuilder.build();
+ * 
+ *
+ */ +@Generated("by gapic-generator") +@BetaApi +public class AutoMlSettings extends ClientSettings { + /** Returns the object with the settings used for calls to deleteDataset. */ + public UnaryCallSettings deleteDatasetSettings() { + return ((AutoMlStubSettings) getStubSettings()).deleteDatasetSettings(); + } + + /** Returns the object with the settings used for calls to deleteDataset. */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public OperationCallSettings + deleteDatasetOperationSettings() { + return ((AutoMlStubSettings) getStubSettings()).deleteDatasetOperationSettings(); + } + + /** Returns the object with the settings used for calls to importData. */ + public UnaryCallSettings importDataSettings() { + return ((AutoMlStubSettings) getStubSettings()).importDataSettings(); + } + + /** Returns the object with the settings used for calls to importData. */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public OperationCallSettings + importDataOperationSettings() { + return ((AutoMlStubSettings) getStubSettings()).importDataOperationSettings(); + } + + /** Returns the object with the settings used for calls to exportData. */ + public UnaryCallSettings exportDataSettings() { + return ((AutoMlStubSettings) getStubSettings()).exportDataSettings(); + } + + /** Returns the object with the settings used for calls to exportData. */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public OperationCallSettings + exportDataOperationSettings() { + return ((AutoMlStubSettings) getStubSettings()).exportDataOperationSettings(); + } + + /** Returns the object with the settings used for calls to deleteModel. */ + public UnaryCallSettings deleteModelSettings() { + return ((AutoMlStubSettings) getStubSettings()).deleteModelSettings(); + } + + /** Returns the object with the settings used for calls to deleteModel. */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public OperationCallSettings + deleteModelOperationSettings() { + return ((AutoMlStubSettings) getStubSettings()).deleteModelOperationSettings(); + } + + /** Returns the object with the settings used for calls to exportModel. */ + public UnaryCallSettings exportModelSettings() { + return ((AutoMlStubSettings) getStubSettings()).exportModelSettings(); + } + + /** Returns the object with the settings used for calls to exportModel. */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public OperationCallSettings + exportModelOperationSettings() { + return ((AutoMlStubSettings) getStubSettings()).exportModelOperationSettings(); + } + + /** Returns the object with the settings used for calls to exportEvaluatedExamples. */ + public UnaryCallSettings + exportEvaluatedExamplesSettings() { + return ((AutoMlStubSettings) getStubSettings()).exportEvaluatedExamplesSettings(); + } + + /** Returns the object with the settings used for calls to exportEvaluatedExamples. */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public OperationCallSettings + exportEvaluatedExamplesOperationSettings() { + return ((AutoMlStubSettings) getStubSettings()).exportEvaluatedExamplesOperationSettings(); + } + + /** Returns the object with the settings used for calls to listModelEvaluations. */ + public PagedCallSettings< + ListModelEvaluationsRequest, + ListModelEvaluationsResponse, + ListModelEvaluationsPagedResponse> + listModelEvaluationsSettings() { + return ((AutoMlStubSettings) getStubSettings()).listModelEvaluationsSettings(); + } + + /** Returns the object with the settings used for calls to createDataset. */ + public UnaryCallSettings createDatasetSettings() { + return ((AutoMlStubSettings) getStubSettings()).createDatasetSettings(); + } + + /** Returns the object with the settings used for calls to getDataset. */ + public UnaryCallSettings getDatasetSettings() { + return ((AutoMlStubSettings) getStubSettings()).getDatasetSettings(); + } + + /** Returns the object with the settings used for calls to listDatasets. */ + public PagedCallSettings + listDatasetsSettings() { + return ((AutoMlStubSettings) getStubSettings()).listDatasetsSettings(); + } + + /** Returns the object with the settings used for calls to updateDataset. */ + public UnaryCallSettings updateDatasetSettings() { + return ((AutoMlStubSettings) getStubSettings()).updateDatasetSettings(); + } + + /** Returns the object with the settings used for calls to getAnnotationSpec. */ + public UnaryCallSettings getAnnotationSpecSettings() { + return ((AutoMlStubSettings) getStubSettings()).getAnnotationSpecSettings(); + } + + /** Returns the object with the settings used for calls to getTableSpec. */ + public UnaryCallSettings getTableSpecSettings() { + return ((AutoMlStubSettings) getStubSettings()).getTableSpecSettings(); + } + + /** Returns the object with the settings used for calls to listTableSpecs. */ + public PagedCallSettings< + ListTableSpecsRequest, ListTableSpecsResponse, ListTableSpecsPagedResponse> + listTableSpecsSettings() { + return ((AutoMlStubSettings) getStubSettings()).listTableSpecsSettings(); + } + + /** Returns the object with the settings used for calls to updateTableSpec. */ + public UnaryCallSettings updateTableSpecSettings() { + return ((AutoMlStubSettings) getStubSettings()).updateTableSpecSettings(); + } + + /** Returns the object with the settings used for calls to getColumnSpec. */ + public UnaryCallSettings getColumnSpecSettings() { + return ((AutoMlStubSettings) getStubSettings()).getColumnSpecSettings(); + } + + /** Returns the object with the settings used for calls to listColumnSpecs. */ + public PagedCallSettings< + ListColumnSpecsRequest, ListColumnSpecsResponse, ListColumnSpecsPagedResponse> + listColumnSpecsSettings() { + return ((AutoMlStubSettings) getStubSettings()).listColumnSpecsSettings(); + } + + /** Returns the object with the settings used for calls to updateColumnSpec. */ + public UnaryCallSettings updateColumnSpecSettings() { + return ((AutoMlStubSettings) getStubSettings()).updateColumnSpecSettings(); + } + + /** Returns the object with the settings used for calls to createModel. */ + public UnaryCallSettings createModelSettings() { + return ((AutoMlStubSettings) getStubSettings()).createModelSettings(); + } + + /** Returns the object with the settings used for calls to createModel. */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public OperationCallSettings + createModelOperationSettings() { + return ((AutoMlStubSettings) getStubSettings()).createModelOperationSettings(); + } + + /** Returns the object with the settings used for calls to getModel. */ + public UnaryCallSettings getModelSettings() { + return ((AutoMlStubSettings) getStubSettings()).getModelSettings(); + } + + /** Returns the object with the settings used for calls to listModels. */ + public PagedCallSettings + listModelsSettings() { + return ((AutoMlStubSettings) getStubSettings()).listModelsSettings(); + } + + /** Returns the object with the settings used for calls to deployModel. */ + public UnaryCallSettings deployModelSettings() { + return ((AutoMlStubSettings) getStubSettings()).deployModelSettings(); + } + + /** Returns the object with the settings used for calls to deployModel. */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public OperationCallSettings + deployModelOperationSettings() { + return ((AutoMlStubSettings) getStubSettings()).deployModelOperationSettings(); + } + + /** Returns the object with the settings used for calls to undeployModel. */ + public UnaryCallSettings undeployModelSettings() { + return ((AutoMlStubSettings) getStubSettings()).undeployModelSettings(); + } + + /** Returns the object with the settings used for calls to undeployModel. */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public OperationCallSettings + undeployModelOperationSettings() { + return ((AutoMlStubSettings) getStubSettings()).undeployModelOperationSettings(); + } + + /** Returns the object with the settings used for calls to getModelEvaluation. */ + public UnaryCallSettings + getModelEvaluationSettings() { + return ((AutoMlStubSettings) getStubSettings()).getModelEvaluationSettings(); + } + + public static final AutoMlSettings create(AutoMlStubSettings stub) throws IOException { + return new AutoMlSettings.Builder(stub.toBuilder()).build(); + } + + /** Returns a builder for the default ExecutorProvider for this service. */ + public static InstantiatingExecutorProvider.Builder defaultExecutorProviderBuilder() { + return AutoMlStubSettings.defaultExecutorProviderBuilder(); + } + + /** Returns the default service endpoint. */ + public static String getDefaultEndpoint() { + return AutoMlStubSettings.getDefaultEndpoint(); + } + + /** Returns the default service scopes. */ + public static List getDefaultServiceScopes() { + return AutoMlStubSettings.getDefaultServiceScopes(); + } + + /** Returns a builder for the default credentials for this service. */ + public static GoogleCredentialsProvider.Builder defaultCredentialsProviderBuilder() { + return AutoMlStubSettings.defaultCredentialsProviderBuilder(); + } + + /** Returns a builder for the default ChannelProvider for this service. */ + public static InstantiatingGrpcChannelProvider.Builder defaultGrpcTransportProviderBuilder() { + return AutoMlStubSettings.defaultGrpcTransportProviderBuilder(); + } + + public static TransportChannelProvider defaultTransportChannelProvider() { + return AutoMlStubSettings.defaultTransportChannelProvider(); + } + + @BetaApi("The surface for customizing headers is not stable yet and may change in the future.") + public static ApiClientHeaderProvider.Builder defaultApiClientHeaderProviderBuilder() { + return AutoMlStubSettings.defaultApiClientHeaderProviderBuilder(); + } + + /** Returns a new builder for this class. */ + public static Builder newBuilder() { + return Builder.createDefault(); + } + + /** Returns a new builder for this class. */ + public static Builder newBuilder(ClientContext clientContext) { + return new Builder(clientContext); + } + + /** Returns a builder containing all the values of this settings class. */ + public Builder toBuilder() { + return new Builder(this); + } + + protected AutoMlSettings(Builder settingsBuilder) throws IOException { + super(settingsBuilder); + } + + /** Builder for AutoMlSettings. */ + public static class Builder extends ClientSettings.Builder { + protected Builder() throws IOException { + this((ClientContext) null); + } + + protected Builder(ClientContext clientContext) { + super(AutoMlStubSettings.newBuilder(clientContext)); + } + + private static Builder createDefault() { + return new Builder(AutoMlStubSettings.newBuilder()); + } + + protected Builder(AutoMlSettings settings) { + super(settings.getStubSettings().toBuilder()); + } + + protected Builder(AutoMlStubSettings.Builder stubSettings) { + super(stubSettings); + } + + public AutoMlStubSettings.Builder getStubSettingsBuilder() { + return ((AutoMlStubSettings.Builder) getStubSettings()); + } + + // NEXT_MAJOR_VER: remove 'throws Exception' + /** + * Applies the given settings updater function to all of the unary API methods in this service. + * + *

Note: This method does not support applying settings to streaming methods. + */ + public Builder applyToAllUnaryMethods( + ApiFunction, Void> settingsUpdater) throws Exception { + super.applyToAllUnaryMethods( + getStubSettingsBuilder().unaryMethodSettingsBuilders(), settingsUpdater); + return this; + } + + /** Returns the builder for the settings used for calls to deleteDataset. */ + public UnaryCallSettings.Builder deleteDatasetSettings() { + return getStubSettingsBuilder().deleteDatasetSettings(); + } + + /** Returns the builder for the settings used for calls to deleteDataset. */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public OperationCallSettings.Builder + deleteDatasetOperationSettings() { + return getStubSettingsBuilder().deleteDatasetOperationSettings(); + } + + /** Returns the builder for the settings used for calls to importData. */ + public UnaryCallSettings.Builder importDataSettings() { + return getStubSettingsBuilder().importDataSettings(); + } + + /** Returns the builder for the settings used for calls to importData. */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public OperationCallSettings.Builder + importDataOperationSettings() { + return getStubSettingsBuilder().importDataOperationSettings(); + } + + /** Returns the builder for the settings used for calls to exportData. */ + public UnaryCallSettings.Builder exportDataSettings() { + return getStubSettingsBuilder().exportDataSettings(); + } + + /** Returns the builder for the settings used for calls to exportData. */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public OperationCallSettings.Builder + exportDataOperationSettings() { + return getStubSettingsBuilder().exportDataOperationSettings(); + } + + /** Returns the builder for the settings used for calls to deleteModel. */ + public UnaryCallSettings.Builder deleteModelSettings() { + return getStubSettingsBuilder().deleteModelSettings(); + } + + /** Returns the builder for the settings used for calls to deleteModel. */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public OperationCallSettings.Builder + deleteModelOperationSettings() { + return getStubSettingsBuilder().deleteModelOperationSettings(); + } + + /** Returns the builder for the settings used for calls to exportModel. */ + public UnaryCallSettings.Builder exportModelSettings() { + return getStubSettingsBuilder().exportModelSettings(); + } + + /** Returns the builder for the settings used for calls to exportModel. */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public OperationCallSettings.Builder + exportModelOperationSettings() { + return getStubSettingsBuilder().exportModelOperationSettings(); + } + + /** Returns the builder for the settings used for calls to exportEvaluatedExamples. */ + public UnaryCallSettings.Builder + exportEvaluatedExamplesSettings() { + return getStubSettingsBuilder().exportEvaluatedExamplesSettings(); + } + + /** Returns the builder for the settings used for calls to exportEvaluatedExamples. */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public OperationCallSettings.Builder + exportEvaluatedExamplesOperationSettings() { + return getStubSettingsBuilder().exportEvaluatedExamplesOperationSettings(); + } + + /** Returns the builder for the settings used for calls to listModelEvaluations. */ + public PagedCallSettings.Builder< + ListModelEvaluationsRequest, + ListModelEvaluationsResponse, + ListModelEvaluationsPagedResponse> + listModelEvaluationsSettings() { + return getStubSettingsBuilder().listModelEvaluationsSettings(); + } + + /** Returns the builder for the settings used for calls to createDataset. */ + public UnaryCallSettings.Builder createDatasetSettings() { + return getStubSettingsBuilder().createDatasetSettings(); + } + + /** Returns the builder for the settings used for calls to getDataset. */ + public UnaryCallSettings.Builder getDatasetSettings() { + return getStubSettingsBuilder().getDatasetSettings(); + } + + /** Returns the builder for the settings used for calls to listDatasets. */ + public PagedCallSettings.Builder< + ListDatasetsRequest, ListDatasetsResponse, ListDatasetsPagedResponse> + listDatasetsSettings() { + return getStubSettingsBuilder().listDatasetsSettings(); + } + + /** Returns the builder for the settings used for calls to updateDataset. */ + public UnaryCallSettings.Builder updateDatasetSettings() { + return getStubSettingsBuilder().updateDatasetSettings(); + } + + /** Returns the builder for the settings used for calls to getAnnotationSpec. */ + public UnaryCallSettings.Builder + getAnnotationSpecSettings() { + return getStubSettingsBuilder().getAnnotationSpecSettings(); + } + + /** Returns the builder for the settings used for calls to getTableSpec. */ + public UnaryCallSettings.Builder getTableSpecSettings() { + return getStubSettingsBuilder().getTableSpecSettings(); + } + + /** Returns the builder for the settings used for calls to listTableSpecs. */ + public PagedCallSettings.Builder< + ListTableSpecsRequest, ListTableSpecsResponse, ListTableSpecsPagedResponse> + listTableSpecsSettings() { + return getStubSettingsBuilder().listTableSpecsSettings(); + } + + /** Returns the builder for the settings used for calls to updateTableSpec. */ + public UnaryCallSettings.Builder updateTableSpecSettings() { + return getStubSettingsBuilder().updateTableSpecSettings(); + } + + /** Returns the builder for the settings used for calls to getColumnSpec. */ + public UnaryCallSettings.Builder getColumnSpecSettings() { + return getStubSettingsBuilder().getColumnSpecSettings(); + } + + /** Returns the builder for the settings used for calls to listColumnSpecs. */ + public PagedCallSettings.Builder< + ListColumnSpecsRequest, ListColumnSpecsResponse, ListColumnSpecsPagedResponse> + listColumnSpecsSettings() { + return getStubSettingsBuilder().listColumnSpecsSettings(); + } + + /** Returns the builder for the settings used for calls to updateColumnSpec. */ + public UnaryCallSettings.Builder + updateColumnSpecSettings() { + return getStubSettingsBuilder().updateColumnSpecSettings(); + } + + /** Returns the builder for the settings used for calls to createModel. */ + public UnaryCallSettings.Builder createModelSettings() { + return getStubSettingsBuilder().createModelSettings(); + } + + /** Returns the builder for the settings used for calls to createModel. */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public OperationCallSettings.Builder + createModelOperationSettings() { + return getStubSettingsBuilder().createModelOperationSettings(); + } + + /** Returns the builder for the settings used for calls to getModel. */ + public UnaryCallSettings.Builder getModelSettings() { + return getStubSettingsBuilder().getModelSettings(); + } + + /** Returns the builder for the settings used for calls to listModels. */ + public PagedCallSettings.Builder + listModelsSettings() { + return getStubSettingsBuilder().listModelsSettings(); + } + + /** Returns the builder for the settings used for calls to deployModel. */ + public UnaryCallSettings.Builder deployModelSettings() { + return getStubSettingsBuilder().deployModelSettings(); + } + + /** Returns the builder for the settings used for calls to deployModel. */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public OperationCallSettings.Builder + deployModelOperationSettings() { + return getStubSettingsBuilder().deployModelOperationSettings(); + } + + /** Returns the builder for the settings used for calls to undeployModel. */ + public UnaryCallSettings.Builder undeployModelSettings() { + return getStubSettingsBuilder().undeployModelSettings(); + } + + /** Returns the builder for the settings used for calls to undeployModel. */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public OperationCallSettings.Builder + undeployModelOperationSettings() { + return getStubSettingsBuilder().undeployModelOperationSettings(); + } + + /** Returns the builder for the settings used for calls to getModelEvaluation. */ + public UnaryCallSettings.Builder + getModelEvaluationSettings() { + return getStubSettingsBuilder().getModelEvaluationSettings(); + } + + @Override + public AutoMlSettings build() throws IOException { + return new AutoMlSettings(this); + } + } +} diff --git a/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceClient.java b/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceClient.java new file mode 100644 index 000000000..c4a45777f --- /dev/null +++ b/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceClient.java @@ -0,0 +1,673 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package com.google.cloud.automl.v1beta1; + +import com.google.api.core.BetaApi; +import com.google.api.gax.core.BackgroundResource; +import com.google.api.gax.longrunning.OperationFuture; +import com.google.api.gax.rpc.OperationCallable; +import com.google.api.gax.rpc.UnaryCallable; +import com.google.cloud.automl.v1beta1.stub.PredictionServiceStub; +import com.google.cloud.automl.v1beta1.stub.PredictionServiceStubSettings; +import com.google.longrunning.Operation; +import com.google.longrunning.OperationsClient; +import java.io.IOException; +import java.util.Map; +import java.util.concurrent.TimeUnit; +import javax.annotation.Generated; + +// AUTO-GENERATED DOCUMENTATION AND SERVICE +/** + * Service Description: AutoML Prediction API. + * + *

On any input that is documented to expect a string parameter in snake_case or kebab-case, + * either of those cases is accepted. + * + *

This class provides the ability to make remote calls to the backing service through method + * calls that map to API methods. Sample code to get started: + * + * 

+ * 
+ * try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
+ *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+ *   ExamplePayload payload = ExamplePayload.newBuilder().build();
+ *   Map<String, String> params = new HashMap<>();
+ *   PredictResponse response = predictionServiceClient.predict(name, payload, params);
+ * }
+ * 
+ *
+ * + *

Note: close() needs to be called on the predictionServiceClient object to clean up resources + * such as threads. In the example above, try-with-resources is used, which automatically calls + * close(). + * + *

The surface of this class includes several types of Java methods for each of the API's + * methods: + * + *

    + *
  1. A "flattened" method. With this type of method, the fields of the request type have been + * converted into function parameters. It may be the case that not all fields are available as + * parameters, and not every API method will have a flattened method entry point. + *
  2. A "request object" method. This type of method only takes one parameter, a request object, + * which must be constructed before the call. Not every API method will have a request object + * method. + *
  3. A "callable" method. This type of method takes no parameters and returns an immutable API + * callable object, which can be used to initiate calls to the service. + *
+ * + *

See the individual methods for example code. + * + *

Many parameters require resource names to be formatted in a particular way. To assist with + * these names, this class includes a format method for each type of name, and additionally a parse + * method to extract the individual identifiers contained within names that are returned. + * + *

This class can be customized by passing in a custom instance of PredictionServiceSettings to + * create(). For example: + * + *

To customize credentials: + * + * 

+ * 
+ * PredictionServiceSettings predictionServiceSettings =
+ *     PredictionServiceSettings.newBuilder()
+ *         .setCredentialsProvider(FixedCredentialsProvider.create(myCredentials))
+ *         .build();
+ * PredictionServiceClient predictionServiceClient =
+ *     PredictionServiceClient.create(predictionServiceSettings);
+ * 
+ *
+ * + * To customize the endpoint: + * + * 
+ * 
+ * PredictionServiceSettings predictionServiceSettings =
+ *     PredictionServiceSettings.newBuilder().setEndpoint(myEndpoint).build();
+ * PredictionServiceClient predictionServiceClient =
+ *     PredictionServiceClient.create(predictionServiceSettings);
+ * 
+ *
+ */ +@Generated("by gapic-generator") +@BetaApi +public class PredictionServiceClient implements BackgroundResource { + private final PredictionServiceSettings settings; + private final PredictionServiceStub stub; + private final OperationsClient operationsClient; + + /** Constructs an instance of PredictionServiceClient with default settings. */ + public static final PredictionServiceClient create() throws IOException { + return create(PredictionServiceSettings.newBuilder().build()); + } + + /** + * Constructs an instance of PredictionServiceClient, using the given settings. The channels are + * created based on the settings passed in, or defaults for any settings that are not set. + */ + public static final PredictionServiceClient create(PredictionServiceSettings settings) + throws IOException { + return new PredictionServiceClient(settings); + } + + /** + * Constructs an instance of PredictionServiceClient, using the given stub for making calls. This + * is for advanced usage - prefer to use PredictionServiceSettings}. + */ + @BetaApi("A restructuring of stub classes is planned, so this may break in the future") + public static final PredictionServiceClient create(PredictionServiceStub stub) { + return new PredictionServiceClient(stub); + } + + /** + * Constructs an instance of PredictionServiceClient, using the given settings. This is protected + * so that it is easy to make a subclass, but otherwise, the static factory methods should be + * preferred. + */ + protected PredictionServiceClient(PredictionServiceSettings settings) throws IOException { + this.settings = settings; + this.stub = ((PredictionServiceStubSettings) settings.getStubSettings()).createStub(); + this.operationsClient = OperationsClient.create(this.stub.getOperationsStub()); + } + + @BetaApi("A restructuring of stub classes is planned, so this may break in the future") + protected PredictionServiceClient(PredictionServiceStub stub) { + this.settings = null; + this.stub = stub; + this.operationsClient = OperationsClient.create(this.stub.getOperationsStub()); + } + + public final PredictionServiceSettings getSettings() { + return settings; + } + + @BetaApi("A restructuring of stub classes is planned, so this may break in the future") + public PredictionServiceStub getStub() { + return stub; + } + + /** + * Returns the OperationsClient that can be used to query the status of a long-running operation + * returned by another API method call. + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationsClient getOperationsClient() { + return operationsClient; + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Perform an online prediction. The prediction result will be directly returned in the response. + * Available for following ML problems, and their expected request payloads: * Image + * Classification - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB. * Image + * Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB. * Text + * Classification - TextSnippet, content up to 60,000 characters, UTF-8 encoded. * Text + * Extraction - TextSnippet, content up to 30,000 characters, UTF-8 NFC encoded. * Translation + * - TextSnippet, content up to 25,000 characters, UTF-8 encoded. * Tables - Row, with column + * values matching the columns of the model, up to 5MB. Not available for FORECASTING + * + *

[prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]. * + * Text Sentiment - TextSnippet, content up 500 characters, UTF-8 encoded. + * + *

Sample code: + * + * 


+   * try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   ExamplePayload payload = ExamplePayload.newBuilder().build();
+   *   Map<String, String> params = new HashMap<>();
+   *   PredictResponse response = predictionServiceClient.predict(name, payload, params);
+   * }
+   *
+ * + * @param name Required. Name of the model requested to serve the prediction. + * @param payload Required. Payload to perform a prediction on. The payload must match the problem + * type that the model was trained to solve. + * @param params Additional domain-specific parameters, any string must be up to 25000 characters + * long. + *

* For Image Classification: + *

`score_threshold` - (float) A value from 0.0 to 1.0. When the model makes predictions + * for an image, it will only produce results that have at least this confidence score. The + * default is 0.5. + *

* For Image Object Detection: `score_threshold` - (float) When Model detects objects + * on the image, it will only produce bounding boxes which have at least this confidence + * score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` - (int64) No more + * than this number of bounding boxes will be returned in the response. Default is 100, the + * requested value may be limited by server. * For Tables: + * feature_imp<span>ortan</span>ce - (boolean) Whether feature importance should + * be populated in the returned TablesAnnotation. The default is false. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final PredictResponse predict( + ModelName name, ExamplePayload payload, Map params) { + PredictRequest request = + PredictRequest.newBuilder() + .setName(name == null ? null : name.toString()) + .setPayload(payload) + .putAllParams(params) + .build(); + return predict(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Perform an online prediction. The prediction result will be directly returned in the response. + * Available for following ML problems, and their expected request payloads: * Image + * Classification - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB. * Image + * Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB. * Text + * Classification - TextSnippet, content up to 60,000 characters, UTF-8 encoded. * Text + * Extraction - TextSnippet, content up to 30,000 characters, UTF-8 NFC encoded. * Translation + * - TextSnippet, content up to 25,000 characters, UTF-8 encoded. * Tables - Row, with column + * values matching the columns of the model, up to 5MB. Not available for FORECASTING + * + *

[prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]. * + * Text Sentiment - TextSnippet, content up 500 characters, UTF-8 encoded. + * + *

Sample code: + * + * 


+   * try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   ExamplePayload payload = ExamplePayload.newBuilder().build();
+   *   Map<String, String> params = new HashMap<>();
+   *   PredictResponse response = predictionServiceClient.predict(name.toString(), payload, params);
+   * }
+   *
+ * + * @param name Required. Name of the model requested to serve the prediction. + * @param payload Required. Payload to perform a prediction on. The payload must match the problem + * type that the model was trained to solve. + * @param params Additional domain-specific parameters, any string must be up to 25000 characters + * long. + *

* For Image Classification: + *

`score_threshold` - (float) A value from 0.0 to 1.0. When the model makes predictions + * for an image, it will only produce results that have at least this confidence score. The + * default is 0.5. + *

* For Image Object Detection: `score_threshold` - (float) When Model detects objects + * on the image, it will only produce bounding boxes which have at least this confidence + * score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` - (int64) No more + * than this number of bounding boxes will be returned in the response. Default is 100, the + * requested value may be limited by server. * For Tables: + * feature_imp<span>ortan</span>ce - (boolean) Whether feature importance should + * be populated in the returned TablesAnnotation. The default is false. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final PredictResponse predict( + String name, ExamplePayload payload, Map params) { + PredictRequest request = + PredictRequest.newBuilder().setName(name).setPayload(payload).putAllParams(params).build(); + return predict(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Perform an online prediction. The prediction result will be directly returned in the response. + * Available for following ML problems, and their expected request payloads: * Image + * Classification - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB. * Image + * Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB. * Text + * Classification - TextSnippet, content up to 60,000 characters, UTF-8 encoded. * Text + * Extraction - TextSnippet, content up to 30,000 characters, UTF-8 NFC encoded. * Translation + * - TextSnippet, content up to 25,000 characters, UTF-8 encoded. * Tables - Row, with column + * values matching the columns of the model, up to 5MB. Not available for FORECASTING + * + *

[prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]. * + * Text Sentiment - TextSnippet, content up 500 characters, UTF-8 encoded. + * + *

Sample code: + * + * 


+   * try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   ExamplePayload payload = ExamplePayload.newBuilder().build();
+   *   PredictRequest request = PredictRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .setPayload(payload)
+   *     .build();
+   *   PredictResponse response = predictionServiceClient.predict(request);
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final PredictResponse predict(PredictRequest request) { + return predictCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Perform an online prediction. The prediction result will be directly returned in the response. + * Available for following ML problems, and their expected request payloads: * Image + * Classification - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB. * Image + * Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB. * Text + * Classification - TextSnippet, content up to 60,000 characters, UTF-8 encoded. * Text + * Extraction - TextSnippet, content up to 30,000 characters, UTF-8 NFC encoded. * Translation + * - TextSnippet, content up to 25,000 characters, UTF-8 encoded. * Tables - Row, with column + * values matching the columns of the model, up to 5MB. Not available for FORECASTING + * + *

[prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]. * + * Text Sentiment - TextSnippet, content up 500 characters, UTF-8 encoded. + * + *

Sample code: + * + * 


+   * try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   ExamplePayload payload = ExamplePayload.newBuilder().build();
+   *   PredictRequest request = PredictRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .setPayload(payload)
+   *     .build();
+   *   ApiFuture<PredictResponse> future = predictionServiceClient.predictCallable().futureCall(request);
+   *   // Do something
+   *   PredictResponse response = future.get();
+   * }
+   *
+ */ + public final UnaryCallable predictCallable() { + return stub.predictCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Perform a batch prediction. Unlike the online + * [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch prediction result won't + * be immediately available in the response. Instead, a long running operation object is returned. + * User can poll the operation result via + * [GetOperation][google.longrunning.Operations.GetOperation] method. Once the operation is done, + * [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in the + * [response][google.longrunning.Operation.response] field. Available for following ML problems: + * * Image Classification * Image Object Detection * Video Classification * Video + * Object Tracking * Text Extraction * Tables + * + *

Sample code: + * + * 


+   * try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   BatchPredictInputConfig inputConfig = BatchPredictInputConfig.newBuilder().build();
+   *   BatchPredictOutputConfig outputConfig = BatchPredictOutputConfig.newBuilder().build();
+   *   Map<String, String> params = new HashMap<>();
+   *   BatchPredictResult response = predictionServiceClient.batchPredictAsync(name, inputConfig, outputConfig, params).get();
+   * }
+   *
+ * + * @param name Required. Name of the model requested to serve the batch prediction. + * @param inputConfig Required. The input configuration for batch prediction. + * @param outputConfig Required. The Configuration specifying where output predictions should be + * written. + * @param params Required. Additional domain-specific parameters for the predictions, any string + * must be up to 25000 characters long. + *

* For Text Classification: + *

`score_threshold` - (float) A value from 0.0 to 1.0. When the model makes predictions + * for a text snippet, it will only produce results that have at least this confidence score. + * The default is 0.5. + *

* For Image Classification: + *

`score_threshold` - (float) A value from 0.0 to 1.0. When the model makes predictions + * for an image, it will only produce results that have at least this confidence score. The + * default is 0.5. + *

* For Image Object Detection: + *

`score_threshold` - (float) When Model detects objects on the image, it will only + * produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, + * default is 0.5. `max_bounding_box_count` - (int64) No more than this number of bounding + * boxes will be produced per image. Default is 100, the requested value may be limited by + * server. + *

* For Video Classification : + *

`score_threshold` - (float) A value from 0.0 to 1.0. When the model makes predictions + * for a video, it will only produce results that have at least this confidence score. The + * default is 0.5. `segment_classification` - (boolean) Set to true to request segment-level + * classification. AutoML Video Intelligence returns labels and their confidence scores for + * the entire segment of the video that user specified in the request configuration. The + * default is "true". `shot_classification` - (boolean) Set to true to request shot-level + * classification. AutoML Video Intelligence determines the boundaries for each camera shot in + * the entire segment of the video that user specified in the request configuration. AutoML + * Video Intelligence then returns labels and their confidence scores for each detected shot, + * along with the start and end time of the shot. WARNING: Model evaluation is not done for + * this classification type, the quality of it depends on training data, but there are no + * metrics provided to describe that quality. The default is "false". + * `1s_interval_classification` - (boolean) Set to true to request classification for a video + * at one-second intervals. AutoML Video Intelligence returns labels and their confidence + * scores for each second of the entire segment of the video that user specified in the + * request configuration. WARNING: Model evaluation is not done for this classification type, + * the quality of it depends on training data, but there are no metrics provided to describe + * that quality. The default is "false". + *

* For Tables: + *

feature_imp<span>ortan</span>ce - (boolean) Whether feature importance + * should be populated in the returned TablesAnnotations. The default is false. + *

* For Video Object Tracking: + *

`score_threshold` - (float) When Model detects objects on video frames, it will only + * produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, + * default is 0.5. `max_bounding_box_count` - (int64) No more than this number of bounding + * boxes will be returned per frame. Default is 100, the requested value may be limited by + * server. `min_bounding_box_size` - (float) Only bounding boxes with shortest edge at least + * that long as a relative value of video frame size will be returned. Value in 0 to 1 range. + * Default is 0. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture batchPredictAsync( + ModelName name, + BatchPredictInputConfig inputConfig, + BatchPredictOutputConfig outputConfig, + Map params) { + BatchPredictRequest request = + BatchPredictRequest.newBuilder() + .setName(name == null ? null : name.toString()) + .setInputConfig(inputConfig) + .setOutputConfig(outputConfig) + .putAllParams(params) + .build(); + return batchPredictAsync(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Perform a batch prediction. Unlike the online + * [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch prediction result won't + * be immediately available in the response. Instead, a long running operation object is returned. + * User can poll the operation result via + * [GetOperation][google.longrunning.Operations.GetOperation] method. Once the operation is done, + * [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in the + * [response][google.longrunning.Operation.response] field. Available for following ML problems: + * * Image Classification * Image Object Detection * Video Classification * Video + * Object Tracking * Text Extraction * Tables + * + *

Sample code: + * + * 


+   * try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   BatchPredictInputConfig inputConfig = BatchPredictInputConfig.newBuilder().build();
+   *   BatchPredictOutputConfig outputConfig = BatchPredictOutputConfig.newBuilder().build();
+   *   Map<String, String> params = new HashMap<>();
+   *   BatchPredictResult response = predictionServiceClient.batchPredictAsync(name.toString(), inputConfig, outputConfig, params).get();
+   * }
+   *
+ * + * @param name Required. Name of the model requested to serve the batch prediction. + * @param inputConfig Required. The input configuration for batch prediction. + * @param outputConfig Required. The Configuration specifying where output predictions should be + * written. + * @param params Required. Additional domain-specific parameters for the predictions, any string + * must be up to 25000 characters long. + *

* For Text Classification: + *

`score_threshold` - (float) A value from 0.0 to 1.0. When the model makes predictions + * for a text snippet, it will only produce results that have at least this confidence score. + * The default is 0.5. + *

* For Image Classification: + *

`score_threshold` - (float) A value from 0.0 to 1.0. When the model makes predictions + * for an image, it will only produce results that have at least this confidence score. The + * default is 0.5. + *

* For Image Object Detection: + *

`score_threshold` - (float) When Model detects objects on the image, it will only + * produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, + * default is 0.5. `max_bounding_box_count` - (int64) No more than this number of bounding + * boxes will be produced per image. Default is 100, the requested value may be limited by + * server. + *

* For Video Classification : + *

`score_threshold` - (float) A value from 0.0 to 1.0. When the model makes predictions + * for a video, it will only produce results that have at least this confidence score. The + * default is 0.5. `segment_classification` - (boolean) Set to true to request segment-level + * classification. AutoML Video Intelligence returns labels and their confidence scores for + * the entire segment of the video that user specified in the request configuration. The + * default is "true". `shot_classification` - (boolean) Set to true to request shot-level + * classification. AutoML Video Intelligence determines the boundaries for each camera shot in + * the entire segment of the video that user specified in the request configuration. AutoML + * Video Intelligence then returns labels and their confidence scores for each detected shot, + * along with the start and end time of the shot. WARNING: Model evaluation is not done for + * this classification type, the quality of it depends on training data, but there are no + * metrics provided to describe that quality. The default is "false". + * `1s_interval_classification` - (boolean) Set to true to request classification for a video + * at one-second intervals. AutoML Video Intelligence returns labels and their confidence + * scores for each second of the entire segment of the video that user specified in the + * request configuration. WARNING: Model evaluation is not done for this classification type, + * the quality of it depends on training data, but there are no metrics provided to describe + * that quality. The default is "false". + *

* For Tables: + *

feature_imp<span>ortan</span>ce - (boolean) Whether feature importance + * should be populated in the returned TablesAnnotations. The default is false. + *

* For Video Object Tracking: + *

`score_threshold` - (float) When Model detects objects on video frames, it will only + * produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, + * default is 0.5. `max_bounding_box_count` - (int64) No more than this number of bounding + * boxes will be returned per frame. Default is 100, the requested value may be limited by + * server. `min_bounding_box_size` - (float) Only bounding boxes with shortest edge at least + * that long as a relative value of video frame size will be returned. Value in 0 to 1 range. + * Default is 0. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture batchPredictAsync( + String name, + BatchPredictInputConfig inputConfig, + BatchPredictOutputConfig outputConfig, + Map params) { + BatchPredictRequest request = + BatchPredictRequest.newBuilder() + .setName(name) + .setInputConfig(inputConfig) + .setOutputConfig(outputConfig) + .putAllParams(params) + .build(); + return batchPredictAsync(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Perform a batch prediction. Unlike the online + * [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch prediction result won't + * be immediately available in the response. Instead, a long running operation object is returned. + * User can poll the operation result via + * [GetOperation][google.longrunning.Operations.GetOperation] method. Once the operation is done, + * [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in the + * [response][google.longrunning.Operation.response] field. Available for following ML problems: + * * Image Classification * Image Object Detection * Video Classification * Video + * Object Tracking * Text Extraction * Tables + * + *

Sample code: + * + * 


+   * try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   BatchPredictInputConfig inputConfig = BatchPredictInputConfig.newBuilder().build();
+   *   BatchPredictOutputConfig outputConfig = BatchPredictOutputConfig.newBuilder().build();
+   *   Map<String, String> params = new HashMap<>();
+   *   BatchPredictRequest request = BatchPredictRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .setInputConfig(inputConfig)
+   *     .setOutputConfig(outputConfig)
+   *     .putAllParams(params)
+   *     .build();
+   *   BatchPredictResult response = predictionServiceClient.batchPredictAsync(request).get();
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public final OperationFuture batchPredictAsync( + BatchPredictRequest request) { + return batchPredictOperationCallable().futureCall(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Perform a batch prediction. Unlike the online + * [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch prediction result won't + * be immediately available in the response. Instead, a long running operation object is returned. + * User can poll the operation result via + * [GetOperation][google.longrunning.Operations.GetOperation] method. Once the operation is done, + * [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in the + * [response][google.longrunning.Operation.response] field. Available for following ML problems: + * * Image Classification * Image Object Detection * Video Classification * Video + * Object Tracking * Text Extraction * Tables + * + *

Sample code: + * + * 


+   * try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   BatchPredictInputConfig inputConfig = BatchPredictInputConfig.newBuilder().build();
+   *   BatchPredictOutputConfig outputConfig = BatchPredictOutputConfig.newBuilder().build();
+   *   Map<String, String> params = new HashMap<>();
+   *   BatchPredictRequest request = BatchPredictRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .setInputConfig(inputConfig)
+   *     .setOutputConfig(outputConfig)
+   *     .putAllParams(params)
+   *     .build();
+   *   OperationFuture<BatchPredictResult, OperationMetadata> future = predictionServiceClient.batchPredictOperationCallable().futureCall(request);
+   *   // Do something
+   *   BatchPredictResult response = future.get();
+   * }
+   *
+ */ + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public final OperationCallable + batchPredictOperationCallable() { + return stub.batchPredictOperationCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Perform a batch prediction. Unlike the online + * [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch prediction result won't + * be immediately available in the response. Instead, a long running operation object is returned. + * User can poll the operation result via + * [GetOperation][google.longrunning.Operations.GetOperation] method. Once the operation is done, + * [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in the + * [response][google.longrunning.Operation.response] field. Available for following ML problems: + * * Image Classification * Image Object Detection * Video Classification * Video + * Object Tracking * Text Extraction * Tables + * + *

Sample code: + * + * 


+   * try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   BatchPredictInputConfig inputConfig = BatchPredictInputConfig.newBuilder().build();
+   *   BatchPredictOutputConfig outputConfig = BatchPredictOutputConfig.newBuilder().build();
+   *   Map<String, String> params = new HashMap<>();
+   *   BatchPredictRequest request = BatchPredictRequest.newBuilder()
+   *     .setName(name.toString())
+   *     .setInputConfig(inputConfig)
+   *     .setOutputConfig(outputConfig)
+   *     .putAllParams(params)
+   *     .build();
+   *   ApiFuture<Operation> future = predictionServiceClient.batchPredictCallable().futureCall(request);
+   *   // Do something
+   *   Operation response = future.get();
+   * }
+   *
+ */ + public final UnaryCallable batchPredictCallable() { + return stub.batchPredictCallable(); + } + + @Override + public final void close() { + stub.close(); + } + + @Override + public void shutdown() { + stub.shutdown(); + } + + @Override + public boolean isShutdown() { + return stub.isShutdown(); + } + + @Override + public boolean isTerminated() { + return stub.isTerminated(); + } + + @Override + public void shutdownNow() { + stub.shutdownNow(); + } + + @Override + public boolean awaitTermination(long duration, TimeUnit unit) throws InterruptedException { + return stub.awaitTermination(duration, unit); + } +} diff --git a/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceSettings.java b/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceSettings.java new file mode 100644 index 000000000..bcd232ddc --- /dev/null +++ b/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceSettings.java @@ -0,0 +1,207 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package com.google.cloud.automl.v1beta1; + +import com.google.api.core.ApiFunction; +import com.google.api.core.BetaApi; +import com.google.api.gax.core.GoogleCredentialsProvider; +import com.google.api.gax.core.InstantiatingExecutorProvider; +import com.google.api.gax.grpc.InstantiatingGrpcChannelProvider; +import com.google.api.gax.rpc.ApiClientHeaderProvider; +import com.google.api.gax.rpc.ClientContext; +import com.google.api.gax.rpc.ClientSettings; +import com.google.api.gax.rpc.OperationCallSettings; +import com.google.api.gax.rpc.TransportChannelProvider; +import com.google.api.gax.rpc.UnaryCallSettings; +import com.google.cloud.automl.v1beta1.stub.PredictionServiceStubSettings; +import com.google.longrunning.Operation; +import java.io.IOException; +import java.util.List; +import javax.annotation.Generated; + +// AUTO-GENERATED DOCUMENTATION AND CLASS +/** + * Settings class to configure an instance of {@link PredictionServiceClient}. + * + *

The default instance has everything set to sensible defaults: + * + *

    + *
  • The default service address (automl.googleapis.com) and default port (443) are used. + *
  • Credentials are acquired automatically through Application Default Credentials. + *
  • Retries are configured for idempotent methods but not for non-idempotent methods. + *
+ * + *

The builder of this class is recursive, so contained classes are themselves builders. When + * build() is called, the tree of builders is called to create the complete settings object. + * + *

For example, to set the total timeout of predict to 30 seconds: + * + * 

+ * 
+ * PredictionServiceSettings.Builder predictionServiceSettingsBuilder =
+ *     PredictionServiceSettings.newBuilder();
+ * predictionServiceSettingsBuilder
+ *     .predictSettings()
+ *     .setRetrySettings(
+ *         predictionServiceSettingsBuilder.predictSettings().getRetrySettings().toBuilder()
+ *             .setTotalTimeout(Duration.ofSeconds(30))
+ *             .build());
+ * PredictionServiceSettings predictionServiceSettings = predictionServiceSettingsBuilder.build();
+ * 
+ *
+ */ +@Generated("by gapic-generator") +@BetaApi +public class PredictionServiceSettings extends ClientSettings { + /** Returns the object with the settings used for calls to predict. */ + public UnaryCallSettings predictSettings() { + return ((PredictionServiceStubSettings) getStubSettings()).predictSettings(); + } + + /** Returns the object with the settings used for calls to batchPredict. */ + public UnaryCallSettings batchPredictSettings() { + return ((PredictionServiceStubSettings) getStubSettings()).batchPredictSettings(); + } + + /** Returns the object with the settings used for calls to batchPredict. */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public OperationCallSettings + batchPredictOperationSettings() { + return ((PredictionServiceStubSettings) getStubSettings()).batchPredictOperationSettings(); + } + + public static final PredictionServiceSettings create(PredictionServiceStubSettings stub) + throws IOException { + return new PredictionServiceSettings.Builder(stub.toBuilder()).build(); + } + + /** Returns a builder for the default ExecutorProvider for this service. */ + public static InstantiatingExecutorProvider.Builder defaultExecutorProviderBuilder() { + return PredictionServiceStubSettings.defaultExecutorProviderBuilder(); + } + + /** Returns the default service endpoint. */ + public static String getDefaultEndpoint() { + return PredictionServiceStubSettings.getDefaultEndpoint(); + } + + /** Returns the default service scopes. */ + public static List getDefaultServiceScopes() { + return PredictionServiceStubSettings.getDefaultServiceScopes(); + } + + /** Returns a builder for the default credentials for this service. */ + public static GoogleCredentialsProvider.Builder defaultCredentialsProviderBuilder() { + return PredictionServiceStubSettings.defaultCredentialsProviderBuilder(); + } + + /** Returns a builder for the default ChannelProvider for this service. */ + public static InstantiatingGrpcChannelProvider.Builder defaultGrpcTransportProviderBuilder() { + return PredictionServiceStubSettings.defaultGrpcTransportProviderBuilder(); + } + + public static TransportChannelProvider defaultTransportChannelProvider() { + return PredictionServiceStubSettings.defaultTransportChannelProvider(); + } + + @BetaApi("The surface for customizing headers is not stable yet and may change in the future.") + public static ApiClientHeaderProvider.Builder defaultApiClientHeaderProviderBuilder() { + return PredictionServiceStubSettings.defaultApiClientHeaderProviderBuilder(); + } + + /** Returns a new builder for this class. */ + public static Builder newBuilder() { + return Builder.createDefault(); + } + + /** Returns a new builder for this class. */ + public static Builder newBuilder(ClientContext clientContext) { + return new Builder(clientContext); + } + + /** Returns a builder containing all the values of this settings class. */ + public Builder toBuilder() { + return new Builder(this); + } + + protected PredictionServiceSettings(Builder settingsBuilder) throws IOException { + super(settingsBuilder); + } + + /** Builder for PredictionServiceSettings. */ + public static class Builder extends ClientSettings.Builder { + protected Builder() throws IOException { + this((ClientContext) null); + } + + protected Builder(ClientContext clientContext) { + super(PredictionServiceStubSettings.newBuilder(clientContext)); + } + + private static Builder createDefault() { + return new Builder(PredictionServiceStubSettings.newBuilder()); + } + + protected Builder(PredictionServiceSettings settings) { + super(settings.getStubSettings().toBuilder()); + } + + protected Builder(PredictionServiceStubSettings.Builder stubSettings) { + super(stubSettings); + } + + public PredictionServiceStubSettings.Builder getStubSettingsBuilder() { + return ((PredictionServiceStubSettings.Builder) getStubSettings()); + } + + // NEXT_MAJOR_VER: remove 'throws Exception' + /** + * Applies the given settings updater function to all of the unary API methods in this service. + * + *

Note: This method does not support applying settings to streaming methods. + */ + public Builder applyToAllUnaryMethods( + ApiFunction, Void> settingsUpdater) throws Exception { + super.applyToAllUnaryMethods( + getStubSettingsBuilder().unaryMethodSettingsBuilders(), settingsUpdater); + return this; + } + + /** Returns the builder for the settings used for calls to predict. */ + public UnaryCallSettings.Builder predictSettings() { + return getStubSettingsBuilder().predictSettings(); + } + + /** Returns the builder for the settings used for calls to batchPredict. */ + public UnaryCallSettings.Builder batchPredictSettings() { + return getStubSettingsBuilder().batchPredictSettings(); + } + + /** Returns the builder for the settings used for calls to batchPredict. */ + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + public OperationCallSettings.Builder + batchPredictOperationSettings() { + return getStubSettingsBuilder().batchPredictOperationSettings(); + } + + @Override + public PredictionServiceSettings build() throws IOException { + return new PredictionServiceSettings(this); + } + } +} diff --git a/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/package-info.java b/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/package-info.java new file mode 100644 index 000000000..4129cd412 --- /dev/null +++ b/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/package-info.java @@ -0,0 +1,73 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/** + * A client to Cloud AutoML API. + * + *

The interfaces provided are listed below, along with usage samples. + * + *

======================= PredictionServiceClient ======================= + * + *

Service Description: AutoML Prediction API. + * + *

On any input that is documented to expect a string parameter in snake_case or kebab-case, + * either of those cases is accepted. + * + *

Sample for PredictionServiceClient: + * + * 

+ * 
+ * try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
+ *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+ *   ExamplePayload payload = ExamplePayload.newBuilder().build();
+ *   Map<String, String> params = new HashMap<>();
+ *   PredictResponse response = predictionServiceClient.predict(name, payload, params);
+ * }
+ * 
+ *
+ * + * ============ AutoMlClient ============ + * + *

Service Description: AutoML Server API. + * + *

The resource names are assigned by the server. The server never reuses names that it has + * created after the resources with those names are deleted. + * + *

An ID of a resource is the last element of the item's resource name. For + * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`, then the id for the item + * is `{dataset_id}`. + * + *

Currently the only supported `location_id` is "us-central1". + * + *

On any input that is documented to expect a string parameter in snake_case or kebab-case, + * either of those cases is accepted. + * + *

Sample for AutoMlClient: + * + * 

+ * 
+ * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+ *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+ *   Dataset dataset = Dataset.newBuilder().build();
+ *   Dataset response = autoMlClient.createDataset(parent, dataset);
+ * }
+ * 
+ *
+ */ +@Generated("by gapic-generator") +package com.google.cloud.automl.v1beta1; + +import javax.annotation.Generated; diff --git a/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/AutoMlStub.java b/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/AutoMlStub.java new file mode 100644 index 000000000..20f0040ea --- /dev/null +++ b/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/AutoMlStub.java @@ -0,0 +1,262 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package com.google.cloud.automl.v1beta1.stub; + +import static com.google.cloud.automl.v1beta1.AutoMlClient.ListColumnSpecsPagedResponse; +import static com.google.cloud.automl.v1beta1.AutoMlClient.ListDatasetsPagedResponse; +import static com.google.cloud.automl.v1beta1.AutoMlClient.ListModelEvaluationsPagedResponse; +import static com.google.cloud.automl.v1beta1.AutoMlClient.ListModelsPagedResponse; +import static com.google.cloud.automl.v1beta1.AutoMlClient.ListTableSpecsPagedResponse; + +import com.google.api.core.BetaApi; +import com.google.api.gax.core.BackgroundResource; +import com.google.api.gax.rpc.OperationCallable; +import com.google.api.gax.rpc.UnaryCallable; +import com.google.cloud.automl.v1beta1.AnnotationSpec; +import com.google.cloud.automl.v1beta1.ColumnSpec; +import com.google.cloud.automl.v1beta1.CreateDatasetRequest; +import com.google.cloud.automl.v1beta1.CreateModelRequest; +import com.google.cloud.automl.v1beta1.Dataset; +import com.google.cloud.automl.v1beta1.DeleteDatasetRequest; +import com.google.cloud.automl.v1beta1.DeleteModelRequest; +import com.google.cloud.automl.v1beta1.DeployModelRequest; +import com.google.cloud.automl.v1beta1.ExportDataRequest; +import com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest; +import com.google.cloud.automl.v1beta1.ExportModelRequest; +import com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest; +import com.google.cloud.automl.v1beta1.GetColumnSpecRequest; +import com.google.cloud.automl.v1beta1.GetDatasetRequest; +import com.google.cloud.automl.v1beta1.GetModelEvaluationRequest; +import com.google.cloud.automl.v1beta1.GetModelRequest; +import com.google.cloud.automl.v1beta1.GetTableSpecRequest; +import com.google.cloud.automl.v1beta1.ImportDataRequest; +import com.google.cloud.automl.v1beta1.ListColumnSpecsRequest; +import com.google.cloud.automl.v1beta1.ListColumnSpecsResponse; +import com.google.cloud.automl.v1beta1.ListDatasetsRequest; +import com.google.cloud.automl.v1beta1.ListDatasetsResponse; +import com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest; +import com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse; +import com.google.cloud.automl.v1beta1.ListModelsRequest; +import com.google.cloud.automl.v1beta1.ListModelsResponse; +import com.google.cloud.automl.v1beta1.ListTableSpecsRequest; +import com.google.cloud.automl.v1beta1.ListTableSpecsResponse; +import com.google.cloud.automl.v1beta1.Model; +import com.google.cloud.automl.v1beta1.ModelEvaluation; +import com.google.cloud.automl.v1beta1.OperationMetadata; +import com.google.cloud.automl.v1beta1.TableSpec; +import com.google.cloud.automl.v1beta1.UndeployModelRequest; +import com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest; +import com.google.cloud.automl.v1beta1.UpdateDatasetRequest; +import com.google.cloud.automl.v1beta1.UpdateTableSpecRequest; +import com.google.longrunning.Operation; +import com.google.longrunning.stub.OperationsStub; +import com.google.protobuf.Empty; +import javax.annotation.Generated; + +// AUTO-GENERATED DOCUMENTATION AND CLASS +/** + * Base stub class for Cloud AutoML API. + * + *

This class is for advanced usage and reflects the underlying API directly. + */ +@Generated("by gapic-generator") +@BetaApi("A restructuring of stub classes is planned, so this may break in the future") +public abstract class AutoMlStub implements BackgroundResource { + + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationsStub getOperationsStub() { + throw new UnsupportedOperationException("Not implemented: getOperationsStub()"); + } + + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallable + deleteDatasetOperationCallable() { + throw new UnsupportedOperationException("Not implemented: deleteDatasetOperationCallable()"); + } + + public UnaryCallable deleteDatasetCallable() { + throw new UnsupportedOperationException("Not implemented: deleteDatasetCallable()"); + } + + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallable + importDataOperationCallable() { + throw new UnsupportedOperationException("Not implemented: importDataOperationCallable()"); + } + + public UnaryCallable importDataCallable() { + throw new UnsupportedOperationException("Not implemented: importDataCallable()"); + } + + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallable + exportDataOperationCallable() { + throw new UnsupportedOperationException("Not implemented: exportDataOperationCallable()"); + } + + public UnaryCallable exportDataCallable() { + throw new UnsupportedOperationException("Not implemented: exportDataCallable()"); + } + + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallable + deleteModelOperationCallable() { + throw new UnsupportedOperationException("Not implemented: deleteModelOperationCallable()"); + } + + public UnaryCallable deleteModelCallable() { + throw new UnsupportedOperationException("Not implemented: deleteModelCallable()"); + } + + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallable + exportModelOperationCallable() { + throw new UnsupportedOperationException("Not implemented: exportModelOperationCallable()"); + } + + public UnaryCallable exportModelCallable() { + throw new UnsupportedOperationException("Not implemented: exportModelCallable()"); + } + + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallable + exportEvaluatedExamplesOperationCallable() { + throw new UnsupportedOperationException( + "Not implemented: exportEvaluatedExamplesOperationCallable()"); + } + + public UnaryCallable + exportEvaluatedExamplesCallable() { + throw new UnsupportedOperationException("Not implemented: exportEvaluatedExamplesCallable()"); + } + + public UnaryCallable + listModelEvaluationsPagedCallable() { + throw new UnsupportedOperationException("Not implemented: listModelEvaluationsPagedCallable()"); + } + + public UnaryCallable + listModelEvaluationsCallable() { + throw new UnsupportedOperationException("Not implemented: listModelEvaluationsCallable()"); + } + + public UnaryCallable createDatasetCallable() { + throw new UnsupportedOperationException("Not implemented: createDatasetCallable()"); + } + + public UnaryCallable getDatasetCallable() { + throw new UnsupportedOperationException("Not implemented: getDatasetCallable()"); + } + + public UnaryCallable listDatasetsPagedCallable() { + throw new UnsupportedOperationException("Not implemented: listDatasetsPagedCallable()"); + } + + public UnaryCallable listDatasetsCallable() { + throw new UnsupportedOperationException("Not implemented: listDatasetsCallable()"); + } + + public UnaryCallable updateDatasetCallable() { + throw new UnsupportedOperationException("Not implemented: updateDatasetCallable()"); + } + + public UnaryCallable getAnnotationSpecCallable() { + throw new UnsupportedOperationException("Not implemented: getAnnotationSpecCallable()"); + } + + public UnaryCallable getTableSpecCallable() { + throw new UnsupportedOperationException("Not implemented: getTableSpecCallable()"); + } + + public UnaryCallable + listTableSpecsPagedCallable() { + throw new UnsupportedOperationException("Not implemented: listTableSpecsPagedCallable()"); + } + + public UnaryCallable listTableSpecsCallable() { + throw new UnsupportedOperationException("Not implemented: listTableSpecsCallable()"); + } + + public UnaryCallable updateTableSpecCallable() { + throw new UnsupportedOperationException("Not implemented: updateTableSpecCallable()"); + } + + public UnaryCallable getColumnSpecCallable() { + throw new UnsupportedOperationException("Not implemented: getColumnSpecCallable()"); + } + + public UnaryCallable + listColumnSpecsPagedCallable() { + throw new UnsupportedOperationException("Not implemented: listColumnSpecsPagedCallable()"); + } + + public UnaryCallable listColumnSpecsCallable() { + throw new UnsupportedOperationException("Not implemented: listColumnSpecsCallable()"); + } + + public UnaryCallable updateColumnSpecCallable() { + throw new UnsupportedOperationException("Not implemented: updateColumnSpecCallable()"); + } + + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallable + createModelOperationCallable() { + throw new UnsupportedOperationException("Not implemented: createModelOperationCallable()"); + } + + public UnaryCallable createModelCallable() { + throw new UnsupportedOperationException("Not implemented: createModelCallable()"); + } + + public UnaryCallable getModelCallable() { + throw new UnsupportedOperationException("Not implemented: getModelCallable()"); + } + + public UnaryCallable listModelsPagedCallable() { + throw new UnsupportedOperationException("Not implemented: listModelsPagedCallable()"); + } + + public UnaryCallable listModelsCallable() { + throw new UnsupportedOperationException("Not implemented: listModelsCallable()"); + } + + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallable + deployModelOperationCallable() { + throw new UnsupportedOperationException("Not implemented: deployModelOperationCallable()"); + } + + public UnaryCallable deployModelCallable() { + throw new UnsupportedOperationException("Not implemented: deployModelCallable()"); + } + + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallable + undeployModelOperationCallable() { + throw new UnsupportedOperationException("Not implemented: undeployModelOperationCallable()"); + } + + public UnaryCallable undeployModelCallable() { + throw new UnsupportedOperationException("Not implemented: undeployModelCallable()"); + } + + public UnaryCallable getModelEvaluationCallable() { + throw new UnsupportedOperationException("Not implemented: getModelEvaluationCallable()"); + } + + @Override + public abstract void close(); +} diff --git a/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/AutoMlStubSettings.java b/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/AutoMlStubSettings.java new file mode 100644 index 000000000..f61dc8a65 --- /dev/null +++ b/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/AutoMlStubSettings.java @@ -0,0 +1,1604 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package com.google.cloud.automl.v1beta1.stub; + +import static com.google.cloud.automl.v1beta1.AutoMlClient.ListColumnSpecsPagedResponse; +import static com.google.cloud.automl.v1beta1.AutoMlClient.ListDatasetsPagedResponse; +import static com.google.cloud.automl.v1beta1.AutoMlClient.ListModelEvaluationsPagedResponse; +import static com.google.cloud.automl.v1beta1.AutoMlClient.ListModelsPagedResponse; +import static com.google.cloud.automl.v1beta1.AutoMlClient.ListTableSpecsPagedResponse; + +import com.google.api.core.ApiFunction; +import com.google.api.core.ApiFuture; +import com.google.api.core.BetaApi; +import com.google.api.gax.core.GaxProperties; +import com.google.api.gax.core.GoogleCredentialsProvider; +import com.google.api.gax.core.InstantiatingExecutorProvider; +import com.google.api.gax.grpc.GaxGrpcProperties; +import com.google.api.gax.grpc.GrpcTransportChannel; +import com.google.api.gax.grpc.InstantiatingGrpcChannelProvider; +import com.google.api.gax.grpc.ProtoOperationTransformers; +import com.google.api.gax.longrunning.OperationSnapshot; +import com.google.api.gax.longrunning.OperationTimedPollAlgorithm; +import com.google.api.gax.retrying.RetrySettings; +import com.google.api.gax.rpc.ApiCallContext; +import com.google.api.gax.rpc.ApiClientHeaderProvider; +import com.google.api.gax.rpc.ClientContext; +import com.google.api.gax.rpc.OperationCallSettings; +import com.google.api.gax.rpc.PageContext; +import com.google.api.gax.rpc.PagedCallSettings; +import com.google.api.gax.rpc.PagedListDescriptor; +import com.google.api.gax.rpc.PagedListResponseFactory; +import com.google.api.gax.rpc.StatusCode; +import com.google.api.gax.rpc.StubSettings; +import com.google.api.gax.rpc.TransportChannelProvider; +import com.google.api.gax.rpc.UnaryCallSettings; +import com.google.api.gax.rpc.UnaryCallable; +import com.google.cloud.automl.v1beta1.AnnotationSpec; +import com.google.cloud.automl.v1beta1.ColumnSpec; +import com.google.cloud.automl.v1beta1.CreateDatasetRequest; +import com.google.cloud.automl.v1beta1.CreateModelRequest; +import com.google.cloud.automl.v1beta1.Dataset; +import com.google.cloud.automl.v1beta1.DeleteDatasetRequest; +import com.google.cloud.automl.v1beta1.DeleteModelRequest; +import com.google.cloud.automl.v1beta1.DeployModelRequest; +import com.google.cloud.automl.v1beta1.ExportDataRequest; +import com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest; +import com.google.cloud.automl.v1beta1.ExportModelRequest; +import com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest; +import com.google.cloud.automl.v1beta1.GetColumnSpecRequest; +import com.google.cloud.automl.v1beta1.GetDatasetRequest; +import com.google.cloud.automl.v1beta1.GetModelEvaluationRequest; +import com.google.cloud.automl.v1beta1.GetModelRequest; +import com.google.cloud.automl.v1beta1.GetTableSpecRequest; +import com.google.cloud.automl.v1beta1.ImportDataRequest; +import com.google.cloud.automl.v1beta1.ListColumnSpecsRequest; +import com.google.cloud.automl.v1beta1.ListColumnSpecsResponse; +import com.google.cloud.automl.v1beta1.ListDatasetsRequest; +import com.google.cloud.automl.v1beta1.ListDatasetsResponse; +import com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest; +import com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse; +import com.google.cloud.automl.v1beta1.ListModelsRequest; +import com.google.cloud.automl.v1beta1.ListModelsResponse; +import com.google.cloud.automl.v1beta1.ListTableSpecsRequest; +import com.google.cloud.automl.v1beta1.ListTableSpecsResponse; +import com.google.cloud.automl.v1beta1.Model; +import com.google.cloud.automl.v1beta1.ModelEvaluation; +import com.google.cloud.automl.v1beta1.OperationMetadata; +import com.google.cloud.automl.v1beta1.TableSpec; +import com.google.cloud.automl.v1beta1.UndeployModelRequest; +import com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest; +import com.google.cloud.automl.v1beta1.UpdateDatasetRequest; +import com.google.cloud.automl.v1beta1.UpdateTableSpecRequest; +import com.google.common.collect.ImmutableList; +import com.google.common.collect.ImmutableMap; +import com.google.common.collect.ImmutableSet; +import com.google.common.collect.Lists; +import com.google.longrunning.Operation; +import com.google.protobuf.Empty; +import java.io.IOException; +import java.util.List; +import javax.annotation.Generated; +import org.threeten.bp.Duration; + +// AUTO-GENERATED DOCUMENTATION AND CLASS +/** + * Settings class to configure an instance of {@link AutoMlStub}. + * + *

The default instance has everything set to sensible defaults: + * + *

    + *
  • The default service address (automl.googleapis.com) and default port (443) are used. + *
  • Credentials are acquired automatically through Application Default Credentials. + *
  • Retries are configured for idempotent methods but not for non-idempotent methods. + *
+ * + *

The builder of this class is recursive, so contained classes are themselves builders. When + * build() is called, the tree of builders is called to create the complete settings object. + * + *

For example, to set the total timeout of createDataset to 30 seconds: + * + * 

+ * 
+ * AutoMlStubSettings.Builder autoMlSettingsBuilder =
+ *     AutoMlStubSettings.newBuilder();
+ * autoMlSettingsBuilder
+ *     .createDatasetSettings()
+ *     .setRetrySettings(
+ *         autoMlSettingsBuilder.createDatasetSettings().getRetrySettings().toBuilder()
+ *             .setTotalTimeout(Duration.ofSeconds(30))
+ *             .build());
+ * AutoMlStubSettings autoMlSettings = autoMlSettingsBuilder.build();
+ * 
+ *
+ */ +@Generated("by gapic-generator") +@BetaApi +public class AutoMlStubSettings extends StubSettings { + /** The default scopes of the service. */ + private static final ImmutableList DEFAULT_SERVICE_SCOPES = + ImmutableList.builder().add("https://www.googleapis.com/auth/cloud-platform").build(); + + private final UnaryCallSettings deleteDatasetSettings; + private final OperationCallSettings + deleteDatasetOperationSettings; + private final UnaryCallSettings importDataSettings; + private final OperationCallSettings + importDataOperationSettings; + private final UnaryCallSettings exportDataSettings; + private final OperationCallSettings + exportDataOperationSettings; + private final UnaryCallSettings deleteModelSettings; + private final OperationCallSettings + deleteModelOperationSettings; + private final UnaryCallSettings exportModelSettings; + private final OperationCallSettings + exportModelOperationSettings; + private final UnaryCallSettings + exportEvaluatedExamplesSettings; + private final OperationCallSettings + exportEvaluatedExamplesOperationSettings; + private final PagedCallSettings< + ListModelEvaluationsRequest, + ListModelEvaluationsResponse, + ListModelEvaluationsPagedResponse> + listModelEvaluationsSettings; + private final UnaryCallSettings createDatasetSettings; + private final UnaryCallSettings getDatasetSettings; + private final PagedCallSettings< + ListDatasetsRequest, ListDatasetsResponse, ListDatasetsPagedResponse> + listDatasetsSettings; + private final UnaryCallSettings updateDatasetSettings; + private final UnaryCallSettings + getAnnotationSpecSettings; + private final UnaryCallSettings getTableSpecSettings; + private final PagedCallSettings< + ListTableSpecsRequest, ListTableSpecsResponse, ListTableSpecsPagedResponse> + listTableSpecsSettings; + private final UnaryCallSettings updateTableSpecSettings; + private final UnaryCallSettings getColumnSpecSettings; + private final PagedCallSettings< + ListColumnSpecsRequest, ListColumnSpecsResponse, ListColumnSpecsPagedResponse> + listColumnSpecsSettings; + private final UnaryCallSettings updateColumnSpecSettings; + private final UnaryCallSettings createModelSettings; + private final OperationCallSettings + createModelOperationSettings; + private final UnaryCallSettings getModelSettings; + private final PagedCallSettings + listModelsSettings; + private final UnaryCallSettings deployModelSettings; + private final OperationCallSettings + deployModelOperationSettings; + private final UnaryCallSettings undeployModelSettings; + private final OperationCallSettings + undeployModelOperationSettings; + private final UnaryCallSettings + getModelEvaluationSettings; + + /** Returns the object with the settings used for calls to deleteDataset. */ + public UnaryCallSettings deleteDatasetSettings() { + return deleteDatasetSettings; + } + + /** Returns the object with the settings used for calls to deleteDataset. */ + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallSettings + deleteDatasetOperationSettings() { + return deleteDatasetOperationSettings; + } + + /** Returns the object with the settings used for calls to importData. */ + public UnaryCallSettings importDataSettings() { + return importDataSettings; + } + + /** Returns the object with the settings used for calls to importData. */ + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallSettings + importDataOperationSettings() { + return importDataOperationSettings; + } + + /** Returns the object with the settings used for calls to exportData. */ + public UnaryCallSettings exportDataSettings() { + return exportDataSettings; + } + + /** Returns the object with the settings used for calls to exportData. */ + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallSettings + exportDataOperationSettings() { + return exportDataOperationSettings; + } + + /** Returns the object with the settings used for calls to deleteModel. */ + public UnaryCallSettings deleteModelSettings() { + return deleteModelSettings; + } + + /** Returns the object with the settings used for calls to deleteModel. */ + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallSettings + deleteModelOperationSettings() { + return deleteModelOperationSettings; + } + + /** Returns the object with the settings used for calls to exportModel. */ + public UnaryCallSettings exportModelSettings() { + return exportModelSettings; + } + + /** Returns the object with the settings used for calls to exportModel. */ + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallSettings + exportModelOperationSettings() { + return exportModelOperationSettings; + } + + /** Returns the object with the settings used for calls to exportEvaluatedExamples. */ + public UnaryCallSettings + exportEvaluatedExamplesSettings() { + return exportEvaluatedExamplesSettings; + } + + /** Returns the object with the settings used for calls to exportEvaluatedExamples. */ + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallSettings + exportEvaluatedExamplesOperationSettings() { + return exportEvaluatedExamplesOperationSettings; + } + + /** Returns the object with the settings used for calls to listModelEvaluations. */ + public PagedCallSettings< + ListModelEvaluationsRequest, + ListModelEvaluationsResponse, + ListModelEvaluationsPagedResponse> + listModelEvaluationsSettings() { + return listModelEvaluationsSettings; + } + + /** Returns the object with the settings used for calls to createDataset. */ + public UnaryCallSettings createDatasetSettings() { + return createDatasetSettings; + } + + /** Returns the object with the settings used for calls to getDataset. */ + public UnaryCallSettings getDatasetSettings() { + return getDatasetSettings; + } + + /** Returns the object with the settings used for calls to listDatasets. */ + public PagedCallSettings + listDatasetsSettings() { + return listDatasetsSettings; + } + + /** Returns the object with the settings used for calls to updateDataset. */ + public UnaryCallSettings updateDatasetSettings() { + return updateDatasetSettings; + } + + /** Returns the object with the settings used for calls to getAnnotationSpec. */ + public UnaryCallSettings getAnnotationSpecSettings() { + return getAnnotationSpecSettings; + } + + /** Returns the object with the settings used for calls to getTableSpec. */ + public UnaryCallSettings getTableSpecSettings() { + return getTableSpecSettings; + } + + /** Returns the object with the settings used for calls to listTableSpecs. */ + public PagedCallSettings< + ListTableSpecsRequest, ListTableSpecsResponse, ListTableSpecsPagedResponse> + listTableSpecsSettings() { + return listTableSpecsSettings; + } + + /** Returns the object with the settings used for calls to updateTableSpec. */ + public UnaryCallSettings updateTableSpecSettings() { + return updateTableSpecSettings; + } + + /** Returns the object with the settings used for calls to getColumnSpec. */ + public UnaryCallSettings getColumnSpecSettings() { + return getColumnSpecSettings; + } + + /** Returns the object with the settings used for calls to listColumnSpecs. */ + public PagedCallSettings< + ListColumnSpecsRequest, ListColumnSpecsResponse, ListColumnSpecsPagedResponse> + listColumnSpecsSettings() { + return listColumnSpecsSettings; + } + + /** Returns the object with the settings used for calls to updateColumnSpec. */ + public UnaryCallSettings updateColumnSpecSettings() { + return updateColumnSpecSettings; + } + + /** Returns the object with the settings used for calls to createModel. */ + public UnaryCallSettings createModelSettings() { + return createModelSettings; + } + + /** Returns the object with the settings used for calls to createModel. */ + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallSettings + createModelOperationSettings() { + return createModelOperationSettings; + } + + /** Returns the object with the settings used for calls to getModel. */ + public UnaryCallSettings getModelSettings() { + return getModelSettings; + } + + /** Returns the object with the settings used for calls to listModels. */ + public PagedCallSettings + listModelsSettings() { + return listModelsSettings; + } + + /** Returns the object with the settings used for calls to deployModel. */ + public UnaryCallSettings deployModelSettings() { + return deployModelSettings; + } + + /** Returns the object with the settings used for calls to deployModel. */ + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallSettings + deployModelOperationSettings() { + return deployModelOperationSettings; + } + + /** Returns the object with the settings used for calls to undeployModel. */ + public UnaryCallSettings undeployModelSettings() { + return undeployModelSettings; + } + + /** Returns the object with the settings used for calls to undeployModel. */ + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallSettings + undeployModelOperationSettings() { + return undeployModelOperationSettings; + } + + /** Returns the object with the settings used for calls to getModelEvaluation. */ + public UnaryCallSettings + getModelEvaluationSettings() { + return getModelEvaluationSettings; + } + + @BetaApi("A restructuring of stub classes is planned, so this may break in the future") + public AutoMlStub createStub() throws IOException { + if (getTransportChannelProvider() + .getTransportName() + .equals(GrpcTransportChannel.getGrpcTransportName())) { + return GrpcAutoMlStub.create(this); + } else { + throw new UnsupportedOperationException( + "Transport not supported: " + getTransportChannelProvider().getTransportName()); + } + } + + /** Returns a builder for the default ExecutorProvider for this service. */ + public static InstantiatingExecutorProvider.Builder defaultExecutorProviderBuilder() { + return InstantiatingExecutorProvider.newBuilder(); + } + + /** Returns the default service endpoint. */ + public static String getDefaultEndpoint() { + return "automl.googleapis.com:443"; + } + + /** Returns the default service scopes. */ + public static List getDefaultServiceScopes() { + return DEFAULT_SERVICE_SCOPES; + } + + /** Returns a builder for the default credentials for this service. */ + public static GoogleCredentialsProvider.Builder defaultCredentialsProviderBuilder() { + return GoogleCredentialsProvider.newBuilder().setScopesToApply(DEFAULT_SERVICE_SCOPES); + } + + /** Returns a builder for the default ChannelProvider for this service. */ + public static InstantiatingGrpcChannelProvider.Builder defaultGrpcTransportProviderBuilder() { + return InstantiatingGrpcChannelProvider.newBuilder() + .setMaxInboundMessageSize(Integer.MAX_VALUE); + } + + public static TransportChannelProvider defaultTransportChannelProvider() { + return defaultGrpcTransportProviderBuilder().build(); + } + + @BetaApi("The surface for customizing headers is not stable yet and may change in the future.") + public static ApiClientHeaderProvider.Builder defaultApiClientHeaderProviderBuilder() { + return ApiClientHeaderProvider.newBuilder() + .setGeneratedLibToken("gapic", GaxProperties.getLibraryVersion(AutoMlStubSettings.class)) + .setTransportToken( + GaxGrpcProperties.getGrpcTokenName(), GaxGrpcProperties.getGrpcVersion()); + } + + /** Returns a new builder for this class. */ + public static Builder newBuilder() { + return Builder.createDefault(); + } + + /** Returns a new builder for this class. */ + public static Builder newBuilder(ClientContext clientContext) { + return new Builder(clientContext); + } + + /** Returns a builder containing all the values of this settings class. */ + public Builder toBuilder() { + return new Builder(this); + } + + protected AutoMlStubSettings(Builder settingsBuilder) throws IOException { + super(settingsBuilder); + + deleteDatasetSettings = settingsBuilder.deleteDatasetSettings().build(); + deleteDatasetOperationSettings = settingsBuilder.deleteDatasetOperationSettings().build(); + importDataSettings = settingsBuilder.importDataSettings().build(); + importDataOperationSettings = settingsBuilder.importDataOperationSettings().build(); + exportDataSettings = settingsBuilder.exportDataSettings().build(); + exportDataOperationSettings = settingsBuilder.exportDataOperationSettings().build(); + deleteModelSettings = settingsBuilder.deleteModelSettings().build(); + deleteModelOperationSettings = settingsBuilder.deleteModelOperationSettings().build(); + exportModelSettings = settingsBuilder.exportModelSettings().build(); + exportModelOperationSettings = settingsBuilder.exportModelOperationSettings().build(); + exportEvaluatedExamplesSettings = settingsBuilder.exportEvaluatedExamplesSettings().build(); + exportEvaluatedExamplesOperationSettings = + settingsBuilder.exportEvaluatedExamplesOperationSettings().build(); + listModelEvaluationsSettings = settingsBuilder.listModelEvaluationsSettings().build(); + createDatasetSettings = settingsBuilder.createDatasetSettings().build(); + getDatasetSettings = settingsBuilder.getDatasetSettings().build(); + listDatasetsSettings = settingsBuilder.listDatasetsSettings().build(); + updateDatasetSettings = settingsBuilder.updateDatasetSettings().build(); + getAnnotationSpecSettings = settingsBuilder.getAnnotationSpecSettings().build(); + getTableSpecSettings = settingsBuilder.getTableSpecSettings().build(); + listTableSpecsSettings = settingsBuilder.listTableSpecsSettings().build(); + updateTableSpecSettings = settingsBuilder.updateTableSpecSettings().build(); + getColumnSpecSettings = settingsBuilder.getColumnSpecSettings().build(); + listColumnSpecsSettings = settingsBuilder.listColumnSpecsSettings().build(); + updateColumnSpecSettings = settingsBuilder.updateColumnSpecSettings().build(); + createModelSettings = settingsBuilder.createModelSettings().build(); + createModelOperationSettings = settingsBuilder.createModelOperationSettings().build(); + getModelSettings = settingsBuilder.getModelSettings().build(); + listModelsSettings = settingsBuilder.listModelsSettings().build(); + deployModelSettings = settingsBuilder.deployModelSettings().build(); + deployModelOperationSettings = settingsBuilder.deployModelOperationSettings().build(); + undeployModelSettings = settingsBuilder.undeployModelSettings().build(); + undeployModelOperationSettings = settingsBuilder.undeployModelOperationSettings().build(); + getModelEvaluationSettings = settingsBuilder.getModelEvaluationSettings().build(); + } + + private static final PagedListDescriptor< + ListModelEvaluationsRequest, ListModelEvaluationsResponse, ModelEvaluation> + LIST_MODEL_EVALUATIONS_PAGE_STR_DESC = + new PagedListDescriptor< + ListModelEvaluationsRequest, ListModelEvaluationsResponse, ModelEvaluation>() { + @Override + public String emptyToken() { + return ""; + } + + @Override + public ListModelEvaluationsRequest injectToken( + ListModelEvaluationsRequest payload, String token) { + return ListModelEvaluationsRequest.newBuilder(payload).setPageToken(token).build(); + } + + @Override + public ListModelEvaluationsRequest injectPageSize( + ListModelEvaluationsRequest payload, int pageSize) { + return ListModelEvaluationsRequest.newBuilder(payload).setPageSize(pageSize).build(); + } + + @Override + public Integer extractPageSize(ListModelEvaluationsRequest payload) { + return payload.getPageSize(); + } + + @Override + public String extractNextToken(ListModelEvaluationsResponse payload) { + return payload.getNextPageToken(); + } + + @Override + public Iterable extractResources( + ListModelEvaluationsResponse payload) { + return payload.getModelEvaluationList() != null + ? payload.getModelEvaluationList() + : ImmutableList.of(); + } + }; + + private static final PagedListDescriptor + LIST_DATASETS_PAGE_STR_DESC = + new PagedListDescriptor() { + @Override + public String emptyToken() { + return ""; + } + + @Override + public ListDatasetsRequest injectToken(ListDatasetsRequest payload, String token) { + return ListDatasetsRequest.newBuilder(payload).setPageToken(token).build(); + } + + @Override + public ListDatasetsRequest injectPageSize(ListDatasetsRequest payload, int pageSize) { + return ListDatasetsRequest.newBuilder(payload).setPageSize(pageSize).build(); + } + + @Override + public Integer extractPageSize(ListDatasetsRequest payload) { + return payload.getPageSize(); + } + + @Override + public String extractNextToken(ListDatasetsResponse payload) { + return payload.getNextPageToken(); + } + + @Override + public Iterable extractResources(ListDatasetsResponse payload) { + return payload.getDatasetsList() != null + ? payload.getDatasetsList() + : ImmutableList.of(); + } + }; + + private static final PagedListDescriptor + LIST_TABLE_SPECS_PAGE_STR_DESC = + new PagedListDescriptor() { + @Override + public String emptyToken() { + return ""; + } + + @Override + public ListTableSpecsRequest injectToken(ListTableSpecsRequest payload, String token) { + return ListTableSpecsRequest.newBuilder(payload).setPageToken(token).build(); + } + + @Override + public ListTableSpecsRequest injectPageSize( + ListTableSpecsRequest payload, int pageSize) { + return ListTableSpecsRequest.newBuilder(payload).setPageSize(pageSize).build(); + } + + @Override + public Integer extractPageSize(ListTableSpecsRequest payload) { + return payload.getPageSize(); + } + + @Override + public String extractNextToken(ListTableSpecsResponse payload) { + return payload.getNextPageToken(); + } + + @Override + public Iterable extractResources(ListTableSpecsResponse payload) { + return payload.getTableSpecsList() != null + ? payload.getTableSpecsList() + : ImmutableList.of(); + } + }; + + private static final PagedListDescriptor< + ListColumnSpecsRequest, ListColumnSpecsResponse, ColumnSpec> + LIST_COLUMN_SPECS_PAGE_STR_DESC = + new PagedListDescriptor() { + @Override + public String emptyToken() { + return ""; + } + + @Override + public ListColumnSpecsRequest injectToken( + ListColumnSpecsRequest payload, String token) { + return ListColumnSpecsRequest.newBuilder(payload).setPageToken(token).build(); + } + + @Override + public ListColumnSpecsRequest injectPageSize( + ListColumnSpecsRequest payload, int pageSize) { + return ListColumnSpecsRequest.newBuilder(payload).setPageSize(pageSize).build(); + } + + @Override + public Integer extractPageSize(ListColumnSpecsRequest payload) { + return payload.getPageSize(); + } + + @Override + public String extractNextToken(ListColumnSpecsResponse payload) { + return payload.getNextPageToken(); + } + + @Override + public Iterable extractResources(ListColumnSpecsResponse payload) { + return payload.getColumnSpecsList() != null + ? payload.getColumnSpecsList() + : ImmutableList.of(); + } + }; + + private static final PagedListDescriptor + LIST_MODELS_PAGE_STR_DESC = + new PagedListDescriptor() { + @Override + public String emptyToken() { + return ""; + } + + @Override + public ListModelsRequest injectToken(ListModelsRequest payload, String token) { + return ListModelsRequest.newBuilder(payload).setPageToken(token).build(); + } + + @Override + public ListModelsRequest injectPageSize(ListModelsRequest payload, int pageSize) { + return ListModelsRequest.newBuilder(payload).setPageSize(pageSize).build(); + } + + @Override + public Integer extractPageSize(ListModelsRequest payload) { + return payload.getPageSize(); + } + + @Override + public String extractNextToken(ListModelsResponse payload) { + return payload.getNextPageToken(); + } + + @Override + public Iterable extractResources(ListModelsResponse payload) { + return payload.getModelList() != null + ? payload.getModelList() + : ImmutableList.of(); + } + }; + + private static final PagedListResponseFactory< + ListModelEvaluationsRequest, + ListModelEvaluationsResponse, + ListModelEvaluationsPagedResponse> + LIST_MODEL_EVALUATIONS_PAGE_STR_FACT = + new PagedListResponseFactory< + ListModelEvaluationsRequest, + ListModelEvaluationsResponse, + ListModelEvaluationsPagedResponse>() { + @Override + public ApiFuture getFuturePagedResponse( + UnaryCallable callable, + ListModelEvaluationsRequest request, + ApiCallContext context, + ApiFuture futureResponse) { + PageContext< + ListModelEvaluationsRequest, ListModelEvaluationsResponse, ModelEvaluation> + pageContext = + PageContext.create( + callable, LIST_MODEL_EVALUATIONS_PAGE_STR_DESC, request, context); + return ListModelEvaluationsPagedResponse.createAsync(pageContext, futureResponse); + } + }; + + private static final PagedListResponseFactory< + ListDatasetsRequest, ListDatasetsResponse, ListDatasetsPagedResponse> + LIST_DATASETS_PAGE_STR_FACT = + new PagedListResponseFactory< + ListDatasetsRequest, ListDatasetsResponse, ListDatasetsPagedResponse>() { + @Override + public ApiFuture getFuturePagedResponse( + UnaryCallable callable, + ListDatasetsRequest request, + ApiCallContext context, + ApiFuture futureResponse) { + PageContext pageContext = + PageContext.create(callable, LIST_DATASETS_PAGE_STR_DESC, request, context); + return ListDatasetsPagedResponse.createAsync(pageContext, futureResponse); + } + }; + + private static final PagedListResponseFactory< + ListTableSpecsRequest, ListTableSpecsResponse, ListTableSpecsPagedResponse> + LIST_TABLE_SPECS_PAGE_STR_FACT = + new PagedListResponseFactory< + ListTableSpecsRequest, ListTableSpecsResponse, ListTableSpecsPagedResponse>() { + @Override + public ApiFuture getFuturePagedResponse( + UnaryCallable callable, + ListTableSpecsRequest request, + ApiCallContext context, + ApiFuture futureResponse) { + PageContext pageContext = + PageContext.create(callable, LIST_TABLE_SPECS_PAGE_STR_DESC, request, context); + return ListTableSpecsPagedResponse.createAsync(pageContext, futureResponse); + } + }; + + private static final PagedListResponseFactory< + ListColumnSpecsRequest, ListColumnSpecsResponse, ListColumnSpecsPagedResponse> + LIST_COLUMN_SPECS_PAGE_STR_FACT = + new PagedListResponseFactory< + ListColumnSpecsRequest, ListColumnSpecsResponse, ListColumnSpecsPagedResponse>() { + @Override + public ApiFuture getFuturePagedResponse( + UnaryCallable callable, + ListColumnSpecsRequest request, + ApiCallContext context, + ApiFuture futureResponse) { + PageContext pageContext = + PageContext.create(callable, LIST_COLUMN_SPECS_PAGE_STR_DESC, request, context); + return ListColumnSpecsPagedResponse.createAsync(pageContext, futureResponse); + } + }; + + private static final PagedListResponseFactory< + ListModelsRequest, ListModelsResponse, ListModelsPagedResponse> + LIST_MODELS_PAGE_STR_FACT = + new PagedListResponseFactory< + ListModelsRequest, ListModelsResponse, ListModelsPagedResponse>() { + @Override + public ApiFuture getFuturePagedResponse( + UnaryCallable callable, + ListModelsRequest request, + ApiCallContext context, + ApiFuture futureResponse) { + PageContext pageContext = + PageContext.create(callable, LIST_MODELS_PAGE_STR_DESC, request, context); + return ListModelsPagedResponse.createAsync(pageContext, futureResponse); + } + }; + + /** Builder for AutoMlStubSettings. */ + public static class Builder extends StubSettings.Builder { + private final ImmutableList> unaryMethodSettingsBuilders; + + private final UnaryCallSettings.Builder deleteDatasetSettings; + private final OperationCallSettings.Builder + deleteDatasetOperationSettings; + private final UnaryCallSettings.Builder importDataSettings; + private final OperationCallSettings.Builder + importDataOperationSettings; + private final UnaryCallSettings.Builder exportDataSettings; + private final OperationCallSettings.Builder + exportDataOperationSettings; + private final UnaryCallSettings.Builder deleteModelSettings; + private final OperationCallSettings.Builder + deleteModelOperationSettings; + private final UnaryCallSettings.Builder exportModelSettings; + private final OperationCallSettings.Builder + exportModelOperationSettings; + private final UnaryCallSettings.Builder + exportEvaluatedExamplesSettings; + private final OperationCallSettings.Builder< + ExportEvaluatedExamplesRequest, Empty, OperationMetadata> + exportEvaluatedExamplesOperationSettings; + private final PagedCallSettings.Builder< + ListModelEvaluationsRequest, + ListModelEvaluationsResponse, + ListModelEvaluationsPagedResponse> + listModelEvaluationsSettings; + private final UnaryCallSettings.Builder createDatasetSettings; + private final UnaryCallSettings.Builder getDatasetSettings; + private final PagedCallSettings.Builder< + ListDatasetsRequest, ListDatasetsResponse, ListDatasetsPagedResponse> + listDatasetsSettings; + private final UnaryCallSettings.Builder updateDatasetSettings; + private final UnaryCallSettings.Builder + getAnnotationSpecSettings; + private final UnaryCallSettings.Builder getTableSpecSettings; + private final PagedCallSettings.Builder< + ListTableSpecsRequest, ListTableSpecsResponse, ListTableSpecsPagedResponse> + listTableSpecsSettings; + private final UnaryCallSettings.Builder + updateTableSpecSettings; + private final UnaryCallSettings.Builder getColumnSpecSettings; + private final PagedCallSettings.Builder< + ListColumnSpecsRequest, ListColumnSpecsResponse, ListColumnSpecsPagedResponse> + listColumnSpecsSettings; + private final UnaryCallSettings.Builder + updateColumnSpecSettings; + private final UnaryCallSettings.Builder createModelSettings; + private final OperationCallSettings.Builder + createModelOperationSettings; + private final UnaryCallSettings.Builder getModelSettings; + private final PagedCallSettings.Builder< + ListModelsRequest, ListModelsResponse, ListModelsPagedResponse> + listModelsSettings; + private final UnaryCallSettings.Builder deployModelSettings; + private final OperationCallSettings.Builder + deployModelOperationSettings; + private final UnaryCallSettings.Builder undeployModelSettings; + private final OperationCallSettings.Builder + undeployModelOperationSettings; + private final UnaryCallSettings.Builder + getModelEvaluationSettings; + + private static final ImmutableMap> + RETRYABLE_CODE_DEFINITIONS; + + static { + ImmutableMap.Builder> definitions = + ImmutableMap.builder(); + definitions.put( + "idempotent", + ImmutableSet.copyOf( + Lists.newArrayList( + StatusCode.Code.DEADLINE_EXCEEDED, StatusCode.Code.UNAVAILABLE))); + definitions.put("non_idempotent", ImmutableSet.copyOf(Lists.newArrayList())); + RETRYABLE_CODE_DEFINITIONS = definitions.build(); + } + + private static final ImmutableMap RETRY_PARAM_DEFINITIONS; + + static { + ImmutableMap.Builder definitions = ImmutableMap.builder(); + RetrySettings settings = null; + settings = + RetrySettings.newBuilder() + .setInitialRetryDelay(Duration.ofMillis(100L)) + .setRetryDelayMultiplier(1.3) + .setMaxRetryDelay(Duration.ofMillis(60000L)) + .setInitialRpcTimeout(Duration.ofMillis(20000L)) + .setRpcTimeoutMultiplier(1.0) + .setMaxRpcTimeout(Duration.ofMillis(20000L)) + .setTotalTimeout(Duration.ofMillis(600000L)) + .build(); + definitions.put("default", settings); + RETRY_PARAM_DEFINITIONS = definitions.build(); + } + + protected Builder() { + this((ClientContext) null); + } + + protected Builder(ClientContext clientContext) { + super(clientContext); + + deleteDatasetSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); + + deleteDatasetOperationSettings = OperationCallSettings.newBuilder(); + + importDataSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); + + importDataOperationSettings = OperationCallSettings.newBuilder(); + + exportDataSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); + + exportDataOperationSettings = OperationCallSettings.newBuilder(); + + deleteModelSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); + + deleteModelOperationSettings = OperationCallSettings.newBuilder(); + + exportModelSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); + + exportModelOperationSettings = OperationCallSettings.newBuilder(); + + exportEvaluatedExamplesSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); + + exportEvaluatedExamplesOperationSettings = OperationCallSettings.newBuilder(); + + listModelEvaluationsSettings = + PagedCallSettings.newBuilder(LIST_MODEL_EVALUATIONS_PAGE_STR_FACT); + + createDatasetSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); + + getDatasetSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); + + listDatasetsSettings = PagedCallSettings.newBuilder(LIST_DATASETS_PAGE_STR_FACT); + + updateDatasetSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); + + getAnnotationSpecSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); + + getTableSpecSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); + + listTableSpecsSettings = PagedCallSettings.newBuilder(LIST_TABLE_SPECS_PAGE_STR_FACT); + + updateTableSpecSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); + + getColumnSpecSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); + + listColumnSpecsSettings = PagedCallSettings.newBuilder(LIST_COLUMN_SPECS_PAGE_STR_FACT); + + updateColumnSpecSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); + + createModelSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); + + createModelOperationSettings = OperationCallSettings.newBuilder(); + + getModelSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); + + listModelsSettings = PagedCallSettings.newBuilder(LIST_MODELS_PAGE_STR_FACT); + + deployModelSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); + + deployModelOperationSettings = OperationCallSettings.newBuilder(); + + undeployModelSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); + + undeployModelOperationSettings = OperationCallSettings.newBuilder(); + + getModelEvaluationSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); + + unaryMethodSettingsBuilders = + ImmutableList.>of( + deleteDatasetSettings, + importDataSettings, + exportDataSettings, + deleteModelSettings, + exportModelSettings, + exportEvaluatedExamplesSettings, + listModelEvaluationsSettings, + createDatasetSettings, + getDatasetSettings, + listDatasetsSettings, + updateDatasetSettings, + getAnnotationSpecSettings, + getTableSpecSettings, + listTableSpecsSettings, + updateTableSpecSettings, + getColumnSpecSettings, + listColumnSpecsSettings, + updateColumnSpecSettings, + createModelSettings, + getModelSettings, + listModelsSettings, + deployModelSettings, + undeployModelSettings, + getModelEvaluationSettings); + + initDefaults(this); + } + + private static Builder createDefault() { + Builder builder = new Builder((ClientContext) null); + builder.setTransportChannelProvider(defaultTransportChannelProvider()); + builder.setCredentialsProvider(defaultCredentialsProviderBuilder().build()); + builder.setInternalHeaderProvider(defaultApiClientHeaderProviderBuilder().build()); + builder.setEndpoint(getDefaultEndpoint()); + return initDefaults(builder); + } + + private static Builder initDefaults(Builder builder) { + + builder + .deleteDatasetSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")); + + builder + .importDataSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")); + + builder + .exportDataSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")); + + builder + .deleteModelSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")); + + builder + .exportModelSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")); + + builder + .exportEvaluatedExamplesSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")); + + builder + .listModelEvaluationsSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")); + + builder + .createDatasetSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")); + + builder + .getDatasetSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")); + + builder + .listDatasetsSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")); + + builder + .updateDatasetSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")); + + builder + .getAnnotationSpecSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")); + + builder + .getTableSpecSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")); + + builder + .listTableSpecsSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")); + + builder + .updateTableSpecSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")); + + builder + .getColumnSpecSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")); + + builder + .listColumnSpecsSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")); + + builder + .updateColumnSpecSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")); + + builder + .createModelSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")); + + builder + .getModelSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")); + + builder + .listModelsSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")); + + builder + .deployModelSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")); + + builder + .undeployModelSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")); + + builder + .getModelEvaluationSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")); + builder + .deleteDatasetOperationSettings() + .setInitialCallSettings( + UnaryCallSettings + .newUnaryCallSettingsBuilder() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")) + .build()) + .setResponseTransformer( + ProtoOperationTransformers.ResponseTransformer.create(Empty.class)) + .setMetadataTransformer( + ProtoOperationTransformers.MetadataTransformer.create(OperationMetadata.class)) + .setPollingAlgorithm( + OperationTimedPollAlgorithm.create( + RetrySettings.newBuilder() + .setInitialRetryDelay(Duration.ofMillis(500L)) + .setRetryDelayMultiplier(1.5) + .setMaxRetryDelay(Duration.ofMillis(5000L)) + .setInitialRpcTimeout(Duration.ZERO) // ignored + .setRpcTimeoutMultiplier(1.0) // ignored + .setMaxRpcTimeout(Duration.ZERO) // ignored + .setTotalTimeout(Duration.ofMillis(300000L)) + .build())); + builder + .importDataOperationSettings() + .setInitialCallSettings( + UnaryCallSettings.newUnaryCallSettingsBuilder() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")) + .build()) + .setResponseTransformer( + ProtoOperationTransformers.ResponseTransformer.create(Empty.class)) + .setMetadataTransformer( + ProtoOperationTransformers.MetadataTransformer.create(OperationMetadata.class)) + .setPollingAlgorithm( + OperationTimedPollAlgorithm.create( + RetrySettings.newBuilder() + .setInitialRetryDelay(Duration.ofMillis(500L)) + .setRetryDelayMultiplier(1.5) + .setMaxRetryDelay(Duration.ofMillis(5000L)) + .setInitialRpcTimeout(Duration.ZERO) // ignored + .setRpcTimeoutMultiplier(1.0) // ignored + .setMaxRpcTimeout(Duration.ZERO) // ignored + .setTotalTimeout(Duration.ofMillis(300000L)) + .build())); + builder + .exportDataOperationSettings() + .setInitialCallSettings( + UnaryCallSettings.newUnaryCallSettingsBuilder() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")) + .build()) + .setResponseTransformer( + ProtoOperationTransformers.ResponseTransformer.create(Empty.class)) + .setMetadataTransformer( + ProtoOperationTransformers.MetadataTransformer.create(OperationMetadata.class)) + .setPollingAlgorithm( + OperationTimedPollAlgorithm.create( + RetrySettings.newBuilder() + .setInitialRetryDelay(Duration.ofMillis(500L)) + .setRetryDelayMultiplier(1.5) + .setMaxRetryDelay(Duration.ofMillis(5000L)) + .setInitialRpcTimeout(Duration.ZERO) // ignored + .setRpcTimeoutMultiplier(1.0) // ignored + .setMaxRpcTimeout(Duration.ZERO) // ignored + .setTotalTimeout(Duration.ofMillis(300000L)) + .build())); + builder + .deleteModelOperationSettings() + .setInitialCallSettings( + UnaryCallSettings.newUnaryCallSettingsBuilder() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")) + .build()) + .setResponseTransformer( + ProtoOperationTransformers.ResponseTransformer.create(Empty.class)) + .setMetadataTransformer( + ProtoOperationTransformers.MetadataTransformer.create(OperationMetadata.class)) + .setPollingAlgorithm( + OperationTimedPollAlgorithm.create( + RetrySettings.newBuilder() + .setInitialRetryDelay(Duration.ofMillis(500L)) + .setRetryDelayMultiplier(1.5) + .setMaxRetryDelay(Duration.ofMillis(5000L)) + .setInitialRpcTimeout(Duration.ZERO) // ignored + .setRpcTimeoutMultiplier(1.0) // ignored + .setMaxRpcTimeout(Duration.ZERO) // ignored + .setTotalTimeout(Duration.ofMillis(300000L)) + .build())); + builder + .exportModelOperationSettings() + .setInitialCallSettings( + UnaryCallSettings.newUnaryCallSettingsBuilder() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")) + .build()) + .setResponseTransformer( + ProtoOperationTransformers.ResponseTransformer.create(Empty.class)) + .setMetadataTransformer( + ProtoOperationTransformers.MetadataTransformer.create(OperationMetadata.class)) + .setPollingAlgorithm( + OperationTimedPollAlgorithm.create( + RetrySettings.newBuilder() + .setInitialRetryDelay(Duration.ofMillis(500L)) + .setRetryDelayMultiplier(1.5) + .setMaxRetryDelay(Duration.ofMillis(5000L)) + .setInitialRpcTimeout(Duration.ZERO) // ignored + .setRpcTimeoutMultiplier(1.0) // ignored + .setMaxRpcTimeout(Duration.ZERO) // ignored + .setTotalTimeout(Duration.ofMillis(300000L)) + .build())); + builder + .exportEvaluatedExamplesOperationSettings() + .setInitialCallSettings( + UnaryCallSettings + .newUnaryCallSettingsBuilder() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")) + .build()) + .setResponseTransformer( + ProtoOperationTransformers.ResponseTransformer.create(Empty.class)) + .setMetadataTransformer( + ProtoOperationTransformers.MetadataTransformer.create(OperationMetadata.class)) + .setPollingAlgorithm( + OperationTimedPollAlgorithm.create( + RetrySettings.newBuilder() + .setInitialRetryDelay(Duration.ofMillis(500L)) + .setRetryDelayMultiplier(1.5) + .setMaxRetryDelay(Duration.ofMillis(5000L)) + .setInitialRpcTimeout(Duration.ZERO) // ignored + .setRpcTimeoutMultiplier(1.0) // ignored + .setMaxRpcTimeout(Duration.ZERO) // ignored + .setTotalTimeout(Duration.ofMillis(300000L)) + .build())); + builder + .createModelOperationSettings() + .setInitialCallSettings( + UnaryCallSettings.newUnaryCallSettingsBuilder() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")) + .build()) + .setResponseTransformer( + ProtoOperationTransformers.ResponseTransformer.create(Model.class)) + .setMetadataTransformer( + ProtoOperationTransformers.MetadataTransformer.create(OperationMetadata.class)) + .setPollingAlgorithm( + OperationTimedPollAlgorithm.create( + RetrySettings.newBuilder() + .setInitialRetryDelay(Duration.ofMillis(500L)) + .setRetryDelayMultiplier(1.5) + .setMaxRetryDelay(Duration.ofMillis(5000L)) + .setInitialRpcTimeout(Duration.ZERO) // ignored + .setRpcTimeoutMultiplier(1.0) // ignored + .setMaxRpcTimeout(Duration.ZERO) // ignored + .setTotalTimeout(Duration.ofMillis(300000L)) + .build())); + builder + .deployModelOperationSettings() + .setInitialCallSettings( + UnaryCallSettings.newUnaryCallSettingsBuilder() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")) + .build()) + .setResponseTransformer( + ProtoOperationTransformers.ResponseTransformer.create(Empty.class)) + .setMetadataTransformer( + ProtoOperationTransformers.MetadataTransformer.create(OperationMetadata.class)) + .setPollingAlgorithm( + OperationTimedPollAlgorithm.create( + RetrySettings.newBuilder() + .setInitialRetryDelay(Duration.ofMillis(500L)) + .setRetryDelayMultiplier(1.5) + .setMaxRetryDelay(Duration.ofMillis(5000L)) + .setInitialRpcTimeout(Duration.ZERO) // ignored + .setRpcTimeoutMultiplier(1.0) // ignored + .setMaxRpcTimeout(Duration.ZERO) // ignored + .setTotalTimeout(Duration.ofMillis(300000L)) + .build())); + builder + .undeployModelOperationSettings() + .setInitialCallSettings( + UnaryCallSettings + .newUnaryCallSettingsBuilder() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")) + .build()) + .setResponseTransformer( + ProtoOperationTransformers.ResponseTransformer.create(Empty.class)) + .setMetadataTransformer( + ProtoOperationTransformers.MetadataTransformer.create(OperationMetadata.class)) + .setPollingAlgorithm( + OperationTimedPollAlgorithm.create( + RetrySettings.newBuilder() + .setInitialRetryDelay(Duration.ofMillis(500L)) + .setRetryDelayMultiplier(1.5) + .setMaxRetryDelay(Duration.ofMillis(5000L)) + .setInitialRpcTimeout(Duration.ZERO) // ignored + .setRpcTimeoutMultiplier(1.0) // ignored + .setMaxRpcTimeout(Duration.ZERO) // ignored + .setTotalTimeout(Duration.ofMillis(300000L)) + .build())); + + return builder; + } + + protected Builder(AutoMlStubSettings settings) { + super(settings); + + deleteDatasetSettings = settings.deleteDatasetSettings.toBuilder(); + deleteDatasetOperationSettings = settings.deleteDatasetOperationSettings.toBuilder(); + importDataSettings = settings.importDataSettings.toBuilder(); + importDataOperationSettings = settings.importDataOperationSettings.toBuilder(); + exportDataSettings = settings.exportDataSettings.toBuilder(); + exportDataOperationSettings = settings.exportDataOperationSettings.toBuilder(); + deleteModelSettings = settings.deleteModelSettings.toBuilder(); + deleteModelOperationSettings = settings.deleteModelOperationSettings.toBuilder(); + exportModelSettings = settings.exportModelSettings.toBuilder(); + exportModelOperationSettings = settings.exportModelOperationSettings.toBuilder(); + exportEvaluatedExamplesSettings = settings.exportEvaluatedExamplesSettings.toBuilder(); + exportEvaluatedExamplesOperationSettings = + settings.exportEvaluatedExamplesOperationSettings.toBuilder(); + listModelEvaluationsSettings = settings.listModelEvaluationsSettings.toBuilder(); + createDatasetSettings = settings.createDatasetSettings.toBuilder(); + getDatasetSettings = settings.getDatasetSettings.toBuilder(); + listDatasetsSettings = settings.listDatasetsSettings.toBuilder(); + updateDatasetSettings = settings.updateDatasetSettings.toBuilder(); + getAnnotationSpecSettings = settings.getAnnotationSpecSettings.toBuilder(); + getTableSpecSettings = settings.getTableSpecSettings.toBuilder(); + listTableSpecsSettings = settings.listTableSpecsSettings.toBuilder(); + updateTableSpecSettings = settings.updateTableSpecSettings.toBuilder(); + getColumnSpecSettings = settings.getColumnSpecSettings.toBuilder(); + listColumnSpecsSettings = settings.listColumnSpecsSettings.toBuilder(); + updateColumnSpecSettings = settings.updateColumnSpecSettings.toBuilder(); + createModelSettings = settings.createModelSettings.toBuilder(); + createModelOperationSettings = settings.createModelOperationSettings.toBuilder(); + getModelSettings = settings.getModelSettings.toBuilder(); + listModelsSettings = settings.listModelsSettings.toBuilder(); + deployModelSettings = settings.deployModelSettings.toBuilder(); + deployModelOperationSettings = settings.deployModelOperationSettings.toBuilder(); + undeployModelSettings = settings.undeployModelSettings.toBuilder(); + undeployModelOperationSettings = settings.undeployModelOperationSettings.toBuilder(); + getModelEvaluationSettings = settings.getModelEvaluationSettings.toBuilder(); + + unaryMethodSettingsBuilders = + ImmutableList.>of( + deleteDatasetSettings, + importDataSettings, + exportDataSettings, + deleteModelSettings, + exportModelSettings, + exportEvaluatedExamplesSettings, + listModelEvaluationsSettings, + createDatasetSettings, + getDatasetSettings, + listDatasetsSettings, + updateDatasetSettings, + getAnnotationSpecSettings, + getTableSpecSettings, + listTableSpecsSettings, + updateTableSpecSettings, + getColumnSpecSettings, + listColumnSpecsSettings, + updateColumnSpecSettings, + createModelSettings, + getModelSettings, + listModelsSettings, + deployModelSettings, + undeployModelSettings, + getModelEvaluationSettings); + } + + // NEXT_MAJOR_VER: remove 'throws Exception' + /** + * Applies the given settings updater function to all of the unary API methods in this service. + * + *

Note: This method does not support applying settings to streaming methods. + */ + public Builder applyToAllUnaryMethods( + ApiFunction, Void> settingsUpdater) throws Exception { + super.applyToAllUnaryMethods(unaryMethodSettingsBuilders, settingsUpdater); + return this; + } + + public ImmutableList> unaryMethodSettingsBuilders() { + return unaryMethodSettingsBuilders; + } + + /** Returns the builder for the settings used for calls to deleteDataset. */ + public UnaryCallSettings.Builder deleteDatasetSettings() { + return deleteDatasetSettings; + } + + /** Returns the builder for the settings used for calls to deleteDataset. */ + @BetaApi( + "The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallSettings.Builder + deleteDatasetOperationSettings() { + return deleteDatasetOperationSettings; + } + + /** Returns the builder for the settings used for calls to importData. */ + public UnaryCallSettings.Builder importDataSettings() { + return importDataSettings; + } + + /** Returns the builder for the settings used for calls to importData. */ + @BetaApi( + "The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallSettings.Builder + importDataOperationSettings() { + return importDataOperationSettings; + } + + /** Returns the builder for the settings used for calls to exportData. */ + public UnaryCallSettings.Builder exportDataSettings() { + return exportDataSettings; + } + + /** Returns the builder for the settings used for calls to exportData. */ + @BetaApi( + "The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallSettings.Builder + exportDataOperationSettings() { + return exportDataOperationSettings; + } + + /** Returns the builder for the settings used for calls to deleteModel. */ + public UnaryCallSettings.Builder deleteModelSettings() { + return deleteModelSettings; + } + + /** Returns the builder for the settings used for calls to deleteModel. */ + @BetaApi( + "The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallSettings.Builder + deleteModelOperationSettings() { + return deleteModelOperationSettings; + } + + /** Returns the builder for the settings used for calls to exportModel. */ + public UnaryCallSettings.Builder exportModelSettings() { + return exportModelSettings; + } + + /** Returns the builder for the settings used for calls to exportModel. */ + @BetaApi( + "The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallSettings.Builder + exportModelOperationSettings() { + return exportModelOperationSettings; + } + + /** Returns the builder for the settings used for calls to exportEvaluatedExamples. */ + public UnaryCallSettings.Builder + exportEvaluatedExamplesSettings() { + return exportEvaluatedExamplesSettings; + } + + /** Returns the builder for the settings used for calls to exportEvaluatedExamples. */ + @BetaApi( + "The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallSettings.Builder + exportEvaluatedExamplesOperationSettings() { + return exportEvaluatedExamplesOperationSettings; + } + + /** Returns the builder for the settings used for calls to listModelEvaluations. */ + public PagedCallSettings.Builder< + ListModelEvaluationsRequest, + ListModelEvaluationsResponse, + ListModelEvaluationsPagedResponse> + listModelEvaluationsSettings() { + return listModelEvaluationsSettings; + } + + /** Returns the builder for the settings used for calls to createDataset. */ + public UnaryCallSettings.Builder createDatasetSettings() { + return createDatasetSettings; + } + + /** Returns the builder for the settings used for calls to getDataset. */ + public UnaryCallSettings.Builder getDatasetSettings() { + return getDatasetSettings; + } + + /** Returns the builder for the settings used for calls to listDatasets. */ + public PagedCallSettings.Builder< + ListDatasetsRequest, ListDatasetsResponse, ListDatasetsPagedResponse> + listDatasetsSettings() { + return listDatasetsSettings; + } + + /** Returns the builder for the settings used for calls to updateDataset. */ + public UnaryCallSettings.Builder updateDatasetSettings() { + return updateDatasetSettings; + } + + /** Returns the builder for the settings used for calls to getAnnotationSpec. */ + public UnaryCallSettings.Builder + getAnnotationSpecSettings() { + return getAnnotationSpecSettings; + } + + /** Returns the builder for the settings used for calls to getTableSpec. */ + public UnaryCallSettings.Builder getTableSpecSettings() { + return getTableSpecSettings; + } + + /** Returns the builder for the settings used for calls to listTableSpecs. */ + public PagedCallSettings.Builder< + ListTableSpecsRequest, ListTableSpecsResponse, ListTableSpecsPagedResponse> + listTableSpecsSettings() { + return listTableSpecsSettings; + } + + /** Returns the builder for the settings used for calls to updateTableSpec. */ + public UnaryCallSettings.Builder updateTableSpecSettings() { + return updateTableSpecSettings; + } + + /** Returns the builder for the settings used for calls to getColumnSpec. */ + public UnaryCallSettings.Builder getColumnSpecSettings() { + return getColumnSpecSettings; + } + + /** Returns the builder for the settings used for calls to listColumnSpecs. */ + public PagedCallSettings.Builder< + ListColumnSpecsRequest, ListColumnSpecsResponse, ListColumnSpecsPagedResponse> + listColumnSpecsSettings() { + return listColumnSpecsSettings; + } + + /** Returns the builder for the settings used for calls to updateColumnSpec. */ + public UnaryCallSettings.Builder + updateColumnSpecSettings() { + return updateColumnSpecSettings; + } + + /** Returns the builder for the settings used for calls to createModel. */ + public UnaryCallSettings.Builder createModelSettings() { + return createModelSettings; + } + + /** Returns the builder for the settings used for calls to createModel. */ + @BetaApi( + "The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallSettings.Builder + createModelOperationSettings() { + return createModelOperationSettings; + } + + /** Returns the builder for the settings used for calls to getModel. */ + public UnaryCallSettings.Builder getModelSettings() { + return getModelSettings; + } + + /** Returns the builder for the settings used for calls to listModels. */ + public PagedCallSettings.Builder + listModelsSettings() { + return listModelsSettings; + } + + /** Returns the builder for the settings used for calls to deployModel. */ + public UnaryCallSettings.Builder deployModelSettings() { + return deployModelSettings; + } + + /** Returns the builder for the settings used for calls to deployModel. */ + @BetaApi( + "The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallSettings.Builder + deployModelOperationSettings() { + return deployModelOperationSettings; + } + + /** Returns the builder for the settings used for calls to undeployModel. */ + public UnaryCallSettings.Builder undeployModelSettings() { + return undeployModelSettings; + } + + /** Returns the builder for the settings used for calls to undeployModel. */ + @BetaApi( + "The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallSettings.Builder + undeployModelOperationSettings() { + return undeployModelOperationSettings; + } + + /** Returns the builder for the settings used for calls to getModelEvaluation. */ + public UnaryCallSettings.Builder + getModelEvaluationSettings() { + return getModelEvaluationSettings; + } + + @Override + public AutoMlStubSettings build() throws IOException { + return new AutoMlStubSettings(this); + } + } +} diff --git a/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/GrpcAutoMlCallableFactory.java b/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/GrpcAutoMlCallableFactory.java new file mode 100644 index 000000000..034b5051b --- /dev/null +++ b/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/GrpcAutoMlCallableFactory.java @@ -0,0 +1,115 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package com.google.cloud.automl.v1beta1.stub; + +import com.google.api.core.BetaApi; +import com.google.api.gax.grpc.GrpcCallSettings; +import com.google.api.gax.grpc.GrpcCallableFactory; +import com.google.api.gax.grpc.GrpcStubCallableFactory; +import com.google.api.gax.rpc.BatchingCallSettings; +import com.google.api.gax.rpc.BidiStreamingCallable; +import com.google.api.gax.rpc.ClientContext; +import com.google.api.gax.rpc.ClientStreamingCallable; +import com.google.api.gax.rpc.OperationCallSettings; +import com.google.api.gax.rpc.OperationCallable; +import com.google.api.gax.rpc.PagedCallSettings; +import com.google.api.gax.rpc.ServerStreamingCallSettings; +import com.google.api.gax.rpc.ServerStreamingCallable; +import com.google.api.gax.rpc.StreamingCallSettings; +import com.google.api.gax.rpc.UnaryCallSettings; +import com.google.api.gax.rpc.UnaryCallable; +import com.google.longrunning.stub.OperationsStub; +import javax.annotation.Generated; + +// AUTO-GENERATED DOCUMENTATION AND CLASS +/** + * gRPC callable factory implementation for Cloud AutoML API. + * + *

This class is for advanced usage. + */ +@Generated("by gapic-generator") +@BetaApi("The surface for use by generated code is not stable yet and may change in the future.") +public class GrpcAutoMlCallableFactory implements GrpcStubCallableFactory { + @Override + public UnaryCallable createUnaryCallable( + GrpcCallSettings grpcCallSettings, + UnaryCallSettings callSettings, + ClientContext clientContext) { + return GrpcCallableFactory.createUnaryCallable(grpcCallSettings, callSettings, clientContext); + } + + @Override + public + UnaryCallable createPagedCallable( + GrpcCallSettings grpcCallSettings, + PagedCallSettings pagedCallSettings, + ClientContext clientContext) { + return GrpcCallableFactory.createPagedCallable( + grpcCallSettings, pagedCallSettings, clientContext); + } + + @Override + public UnaryCallable createBatchingCallable( + GrpcCallSettings grpcCallSettings, + BatchingCallSettings batchingCallSettings, + ClientContext clientContext) { + return GrpcCallableFactory.createBatchingCallable( + grpcCallSettings, batchingCallSettings, clientContext); + } + + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + @Override + public + OperationCallable createOperationCallable( + GrpcCallSettings grpcCallSettings, + OperationCallSettings operationCallSettings, + ClientContext clientContext, + OperationsStub operationsStub) { + return GrpcCallableFactory.createOperationCallable( + grpcCallSettings, operationCallSettings, clientContext, operationsStub); + } + + @Override + public + BidiStreamingCallable createBidiStreamingCallable( + GrpcCallSettings grpcCallSettings, + StreamingCallSettings streamingCallSettings, + ClientContext clientContext) { + return GrpcCallableFactory.createBidiStreamingCallable( + grpcCallSettings, streamingCallSettings, clientContext); + } + + @Override + public + ServerStreamingCallable createServerStreamingCallable( + GrpcCallSettings grpcCallSettings, + ServerStreamingCallSettings streamingCallSettings, + ClientContext clientContext) { + return GrpcCallableFactory.createServerStreamingCallable( + grpcCallSettings, streamingCallSettings, clientContext); + } + + @Override + public + ClientStreamingCallable createClientStreamingCallable( + GrpcCallSettings grpcCallSettings, + StreamingCallSettings streamingCallSettings, + ClientContext clientContext) { + return GrpcCallableFactory.createClientStreamingCallable( + grpcCallSettings, streamingCallSettings, clientContext); + } +} diff --git a/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/GrpcAutoMlStub.java b/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/GrpcAutoMlStub.java new file mode 100644 index 000000000..088fbbd7c --- /dev/null +++ b/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/GrpcAutoMlStub.java @@ -0,0 +1,1071 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package com.google.cloud.automl.v1beta1.stub; + +import static com.google.cloud.automl.v1beta1.AutoMlClient.ListColumnSpecsPagedResponse; +import static com.google.cloud.automl.v1beta1.AutoMlClient.ListDatasetsPagedResponse; +import static com.google.cloud.automl.v1beta1.AutoMlClient.ListModelEvaluationsPagedResponse; +import static com.google.cloud.automl.v1beta1.AutoMlClient.ListModelsPagedResponse; +import static com.google.cloud.automl.v1beta1.AutoMlClient.ListTableSpecsPagedResponse; + +import com.google.api.core.BetaApi; +import com.google.api.gax.core.BackgroundResource; +import com.google.api.gax.core.BackgroundResourceAggregation; +import com.google.api.gax.grpc.GrpcCallSettings; +import com.google.api.gax.grpc.GrpcStubCallableFactory; +import com.google.api.gax.rpc.ClientContext; +import com.google.api.gax.rpc.OperationCallable; +import com.google.api.gax.rpc.RequestParamsExtractor; +import com.google.api.gax.rpc.UnaryCallable; +import com.google.cloud.automl.v1beta1.AnnotationSpec; +import com.google.cloud.automl.v1beta1.ColumnSpec; +import com.google.cloud.automl.v1beta1.CreateDatasetRequest; +import com.google.cloud.automl.v1beta1.CreateModelRequest; +import com.google.cloud.automl.v1beta1.Dataset; +import com.google.cloud.automl.v1beta1.DeleteDatasetRequest; +import com.google.cloud.automl.v1beta1.DeleteModelRequest; +import com.google.cloud.automl.v1beta1.DeployModelRequest; +import com.google.cloud.automl.v1beta1.ExportDataRequest; +import com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest; +import com.google.cloud.automl.v1beta1.ExportModelRequest; +import com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest; +import com.google.cloud.automl.v1beta1.GetColumnSpecRequest; +import com.google.cloud.automl.v1beta1.GetDatasetRequest; +import com.google.cloud.automl.v1beta1.GetModelEvaluationRequest; +import com.google.cloud.automl.v1beta1.GetModelRequest; +import com.google.cloud.automl.v1beta1.GetTableSpecRequest; +import com.google.cloud.automl.v1beta1.ImportDataRequest; +import com.google.cloud.automl.v1beta1.ListColumnSpecsRequest; +import com.google.cloud.automl.v1beta1.ListColumnSpecsResponse; +import com.google.cloud.automl.v1beta1.ListDatasetsRequest; +import com.google.cloud.automl.v1beta1.ListDatasetsResponse; +import com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest; +import com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse; +import com.google.cloud.automl.v1beta1.ListModelsRequest; +import com.google.cloud.automl.v1beta1.ListModelsResponse; +import com.google.cloud.automl.v1beta1.ListTableSpecsRequest; +import com.google.cloud.automl.v1beta1.ListTableSpecsResponse; +import com.google.cloud.automl.v1beta1.Model; +import com.google.cloud.automl.v1beta1.ModelEvaluation; +import com.google.cloud.automl.v1beta1.OperationMetadata; +import com.google.cloud.automl.v1beta1.TableSpec; +import com.google.cloud.automl.v1beta1.UndeployModelRequest; +import com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest; +import com.google.cloud.automl.v1beta1.UpdateDatasetRequest; +import com.google.cloud.automl.v1beta1.UpdateTableSpecRequest; +import com.google.common.collect.ImmutableMap; +import com.google.longrunning.Operation; +import com.google.longrunning.stub.GrpcOperationsStub; +import com.google.protobuf.Empty; +import io.grpc.MethodDescriptor; +import io.grpc.protobuf.ProtoUtils; +import java.io.IOException; +import java.util.Map; +import java.util.concurrent.TimeUnit; +import javax.annotation.Generated; + +// AUTO-GENERATED DOCUMENTATION AND CLASS +/** + * gRPC stub implementation for Cloud AutoML API. + * + *

This class is for advanced usage and reflects the underlying API directly. + */ +@Generated("by gapic-generator") +@BetaApi("A restructuring of stub classes is planned, so this may break in the future") +public class GrpcAutoMlStub extends AutoMlStub { + + private static final MethodDescriptor + deleteDatasetMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/DeleteDataset") + .setRequestMarshaller( + ProtoUtils.marshaller(DeleteDatasetRequest.getDefaultInstance())) + .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance())) + .build(); + private static final MethodDescriptor importDataMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/ImportData") + .setRequestMarshaller(ProtoUtils.marshaller(ImportDataRequest.getDefaultInstance())) + .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance())) + .build(); + private static final MethodDescriptor exportDataMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/ExportData") + .setRequestMarshaller(ProtoUtils.marshaller(ExportDataRequest.getDefaultInstance())) + .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance())) + .build(); + private static final MethodDescriptor deleteModelMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/DeleteModel") + .setRequestMarshaller(ProtoUtils.marshaller(DeleteModelRequest.getDefaultInstance())) + .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance())) + .build(); + private static final MethodDescriptor exportModelMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/ExportModel") + .setRequestMarshaller(ProtoUtils.marshaller(ExportModelRequest.getDefaultInstance())) + .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance())) + .build(); + private static final MethodDescriptor + exportEvaluatedExamplesMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/ExportEvaluatedExamples") + .setRequestMarshaller( + ProtoUtils.marshaller(ExportEvaluatedExamplesRequest.getDefaultInstance())) + .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance())) + .build(); + private static final MethodDescriptor + listModelEvaluationsMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/ListModelEvaluations") + .setRequestMarshaller( + ProtoUtils.marshaller(ListModelEvaluationsRequest.getDefaultInstance())) + .setResponseMarshaller( + ProtoUtils.marshaller(ListModelEvaluationsResponse.getDefaultInstance())) + .build(); + private static final MethodDescriptor + createDatasetMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/CreateDataset") + .setRequestMarshaller( + ProtoUtils.marshaller(CreateDatasetRequest.getDefaultInstance())) + .setResponseMarshaller(ProtoUtils.marshaller(Dataset.getDefaultInstance())) + .build(); + private static final MethodDescriptor getDatasetMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/GetDataset") + .setRequestMarshaller(ProtoUtils.marshaller(GetDatasetRequest.getDefaultInstance())) + .setResponseMarshaller(ProtoUtils.marshaller(Dataset.getDefaultInstance())) + .build(); + private static final MethodDescriptor + listDatasetsMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/ListDatasets") + .setRequestMarshaller(ProtoUtils.marshaller(ListDatasetsRequest.getDefaultInstance())) + .setResponseMarshaller( + ProtoUtils.marshaller(ListDatasetsResponse.getDefaultInstance())) + .build(); + private static final MethodDescriptor + updateDatasetMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/UpdateDataset") + .setRequestMarshaller( + ProtoUtils.marshaller(UpdateDatasetRequest.getDefaultInstance())) + .setResponseMarshaller(ProtoUtils.marshaller(Dataset.getDefaultInstance())) + .build(); + private static final MethodDescriptor + getAnnotationSpecMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/GetAnnotationSpec") + .setRequestMarshaller( + ProtoUtils.marshaller(GetAnnotationSpecRequest.getDefaultInstance())) + .setResponseMarshaller(ProtoUtils.marshaller(AnnotationSpec.getDefaultInstance())) + .build(); + private static final MethodDescriptor + getTableSpecMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/GetTableSpec") + .setRequestMarshaller(ProtoUtils.marshaller(GetTableSpecRequest.getDefaultInstance())) + .setResponseMarshaller(ProtoUtils.marshaller(TableSpec.getDefaultInstance())) + .build(); + private static final MethodDescriptor + listTableSpecsMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/ListTableSpecs") + .setRequestMarshaller( + ProtoUtils.marshaller(ListTableSpecsRequest.getDefaultInstance())) + .setResponseMarshaller( + ProtoUtils.marshaller(ListTableSpecsResponse.getDefaultInstance())) + .build(); + private static final MethodDescriptor + updateTableSpecMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/UpdateTableSpec") + .setRequestMarshaller( + ProtoUtils.marshaller(UpdateTableSpecRequest.getDefaultInstance())) + .setResponseMarshaller(ProtoUtils.marshaller(TableSpec.getDefaultInstance())) + .build(); + private static final MethodDescriptor + getColumnSpecMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/GetColumnSpec") + .setRequestMarshaller( + ProtoUtils.marshaller(GetColumnSpecRequest.getDefaultInstance())) + .setResponseMarshaller(ProtoUtils.marshaller(ColumnSpec.getDefaultInstance())) + .build(); + private static final MethodDescriptor + listColumnSpecsMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/ListColumnSpecs") + .setRequestMarshaller( + ProtoUtils.marshaller(ListColumnSpecsRequest.getDefaultInstance())) + .setResponseMarshaller( + ProtoUtils.marshaller(ListColumnSpecsResponse.getDefaultInstance())) + .build(); + private static final MethodDescriptor + updateColumnSpecMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/UpdateColumnSpec") + .setRequestMarshaller( + ProtoUtils.marshaller(UpdateColumnSpecRequest.getDefaultInstance())) + .setResponseMarshaller(ProtoUtils.marshaller(ColumnSpec.getDefaultInstance())) + .build(); + private static final MethodDescriptor createModelMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/CreateModel") + .setRequestMarshaller(ProtoUtils.marshaller(CreateModelRequest.getDefaultInstance())) + .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance())) + .build(); + private static final MethodDescriptor getModelMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/GetModel") + .setRequestMarshaller(ProtoUtils.marshaller(GetModelRequest.getDefaultInstance())) + .setResponseMarshaller(ProtoUtils.marshaller(Model.getDefaultInstance())) + .build(); + private static final MethodDescriptor + listModelsMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/ListModels") + .setRequestMarshaller(ProtoUtils.marshaller(ListModelsRequest.getDefaultInstance())) + .setResponseMarshaller(ProtoUtils.marshaller(ListModelsResponse.getDefaultInstance())) + .build(); + private static final MethodDescriptor deployModelMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/DeployModel") + .setRequestMarshaller(ProtoUtils.marshaller(DeployModelRequest.getDefaultInstance())) + .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance())) + .build(); + private static final MethodDescriptor + undeployModelMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/UndeployModel") + .setRequestMarshaller( + ProtoUtils.marshaller(UndeployModelRequest.getDefaultInstance())) + .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance())) + .build(); + private static final MethodDescriptor + getModelEvaluationMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/GetModelEvaluation") + .setRequestMarshaller( + ProtoUtils.marshaller(GetModelEvaluationRequest.getDefaultInstance())) + .setResponseMarshaller(ProtoUtils.marshaller(ModelEvaluation.getDefaultInstance())) + .build(); + + private final BackgroundResource backgroundResources; + private final GrpcOperationsStub operationsStub; + + private final UnaryCallable deleteDatasetCallable; + private final OperationCallable + deleteDatasetOperationCallable; + private final UnaryCallable importDataCallable; + private final OperationCallable + importDataOperationCallable; + private final UnaryCallable exportDataCallable; + private final OperationCallable + exportDataOperationCallable; + private final UnaryCallable deleteModelCallable; + private final OperationCallable + deleteModelOperationCallable; + private final UnaryCallable exportModelCallable; + private final OperationCallable + exportModelOperationCallable; + private final UnaryCallable + exportEvaluatedExamplesCallable; + private final OperationCallable + exportEvaluatedExamplesOperationCallable; + private final UnaryCallable + listModelEvaluationsCallable; + private final UnaryCallable + listModelEvaluationsPagedCallable; + private final UnaryCallable createDatasetCallable; + private final UnaryCallable getDatasetCallable; + private final UnaryCallable listDatasetsCallable; + private final UnaryCallable + listDatasetsPagedCallable; + private final UnaryCallable updateDatasetCallable; + private final UnaryCallable getAnnotationSpecCallable; + private final UnaryCallable getTableSpecCallable; + private final UnaryCallable listTableSpecsCallable; + private final UnaryCallable + listTableSpecsPagedCallable; + private final UnaryCallable updateTableSpecCallable; + private final UnaryCallable getColumnSpecCallable; + private final UnaryCallable + listColumnSpecsCallable; + private final UnaryCallable + listColumnSpecsPagedCallable; + private final UnaryCallable updateColumnSpecCallable; + private final UnaryCallable createModelCallable; + private final OperationCallable + createModelOperationCallable; + private final UnaryCallable getModelCallable; + private final UnaryCallable listModelsCallable; + private final UnaryCallable listModelsPagedCallable; + private final UnaryCallable deployModelCallable; + private final OperationCallable + deployModelOperationCallable; + private final UnaryCallable undeployModelCallable; + private final OperationCallable + undeployModelOperationCallable; + private final UnaryCallable + getModelEvaluationCallable; + + private final GrpcStubCallableFactory callableFactory; + + public static final GrpcAutoMlStub create(AutoMlStubSettings settings) throws IOException { + return new GrpcAutoMlStub(settings, ClientContext.create(settings)); + } + + public static final GrpcAutoMlStub create(ClientContext clientContext) throws IOException { + return new GrpcAutoMlStub(AutoMlStubSettings.newBuilder().build(), clientContext); + } + + public static final GrpcAutoMlStub create( + ClientContext clientContext, GrpcStubCallableFactory callableFactory) throws IOException { + return new GrpcAutoMlStub( + AutoMlStubSettings.newBuilder().build(), clientContext, callableFactory); + } + + /** + * Constructs an instance of GrpcAutoMlStub, using the given settings. This is protected so that + * it is easy to make a subclass, but otherwise, the static factory methods should be preferred. + */ + protected GrpcAutoMlStub(AutoMlStubSettings settings, ClientContext clientContext) + throws IOException { + this(settings, clientContext, new GrpcAutoMlCallableFactory()); + } + + /** + * Constructs an instance of GrpcAutoMlStub, using the given settings. This is protected so that + * it is easy to make a subclass, but otherwise, the static factory methods should be preferred. + */ + protected GrpcAutoMlStub( + AutoMlStubSettings settings, + ClientContext clientContext, + GrpcStubCallableFactory callableFactory) + throws IOException { + this.callableFactory = callableFactory; + this.operationsStub = GrpcOperationsStub.create(clientContext, callableFactory); + + GrpcCallSettings deleteDatasetTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(deleteDatasetMethodDescriptor) + .setParamsExtractor( + new RequestParamsExtractor() { + @Override + public Map extract(DeleteDatasetRequest request) { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put("name", String.valueOf(request.getName())); + return params.build(); + } + }) + .build(); + GrpcCallSettings importDataTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(importDataMethodDescriptor) + .setParamsExtractor( + new RequestParamsExtractor() { + @Override + public Map extract(ImportDataRequest request) { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put("name", String.valueOf(request.getName())); + return params.build(); + } + }) + .build(); + GrpcCallSettings exportDataTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(exportDataMethodDescriptor) + .setParamsExtractor( + new RequestParamsExtractor() { + @Override + public Map extract(ExportDataRequest request) { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put("name", String.valueOf(request.getName())); + return params.build(); + } + }) + .build(); + GrpcCallSettings deleteModelTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(deleteModelMethodDescriptor) + .setParamsExtractor( + new RequestParamsExtractor() { + @Override + public Map extract(DeleteModelRequest request) { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put("name", String.valueOf(request.getName())); + return params.build(); + } + }) + .build(); + GrpcCallSettings exportModelTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(exportModelMethodDescriptor) + .setParamsExtractor( + new RequestParamsExtractor() { + @Override + public Map extract(ExportModelRequest request) { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put("name", String.valueOf(request.getName())); + return params.build(); + } + }) + .build(); + GrpcCallSettings + exportEvaluatedExamplesTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(exportEvaluatedExamplesMethodDescriptor) + .setParamsExtractor( + new RequestParamsExtractor() { + @Override + public Map extract(ExportEvaluatedExamplesRequest request) { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put("name", String.valueOf(request.getName())); + return params.build(); + } + }) + .build(); + GrpcCallSettings + listModelEvaluationsTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(listModelEvaluationsMethodDescriptor) + .setParamsExtractor( + new RequestParamsExtractor() { + @Override + public Map extract(ListModelEvaluationsRequest request) { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put("parent", String.valueOf(request.getParent())); + return params.build(); + } + }) + .build(); + GrpcCallSettings createDatasetTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(createDatasetMethodDescriptor) + .setParamsExtractor( + new RequestParamsExtractor() { + @Override + public Map extract(CreateDatasetRequest request) { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put("parent", String.valueOf(request.getParent())); + return params.build(); + } + }) + .build(); + GrpcCallSettings getDatasetTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(getDatasetMethodDescriptor) + .setParamsExtractor( + new RequestParamsExtractor() { + @Override + public Map extract(GetDatasetRequest request) { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put("name", String.valueOf(request.getName())); + return params.build(); + } + }) + .build(); + GrpcCallSettings listDatasetsTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(listDatasetsMethodDescriptor) + .setParamsExtractor( + new RequestParamsExtractor() { + @Override + public Map extract(ListDatasetsRequest request) { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put("parent", String.valueOf(request.getParent())); + return params.build(); + } + }) + .build(); + GrpcCallSettings updateDatasetTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(updateDatasetMethodDescriptor) + .setParamsExtractor( + new RequestParamsExtractor() { + @Override + public Map extract(UpdateDatasetRequest request) { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put("dataset.name", String.valueOf(request.getDataset().getName())); + return params.build(); + } + }) + .build(); + GrpcCallSettings getAnnotationSpecTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(getAnnotationSpecMethodDescriptor) + .setParamsExtractor( + new RequestParamsExtractor() { + @Override + public Map extract(GetAnnotationSpecRequest request) { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put("name", String.valueOf(request.getName())); + return params.build(); + } + }) + .build(); + GrpcCallSettings getTableSpecTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(getTableSpecMethodDescriptor) + .setParamsExtractor( + new RequestParamsExtractor() { + @Override + public Map extract(GetTableSpecRequest request) { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put("name", String.valueOf(request.getName())); + return params.build(); + } + }) + .build(); + GrpcCallSettings + listTableSpecsTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(listTableSpecsMethodDescriptor) + .setParamsExtractor( + new RequestParamsExtractor() { + @Override + public Map extract(ListTableSpecsRequest request) { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put("parent", String.valueOf(request.getParent())); + return params.build(); + } + }) + .build(); + GrpcCallSettings updateTableSpecTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(updateTableSpecMethodDescriptor) + .setParamsExtractor( + new RequestParamsExtractor() { + @Override + public Map extract(UpdateTableSpecRequest request) { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put("table_spec.name", String.valueOf(request.getTableSpec().getName())); + return params.build(); + } + }) + .build(); + GrpcCallSettings getColumnSpecTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(getColumnSpecMethodDescriptor) + .setParamsExtractor( + new RequestParamsExtractor() { + @Override + public Map extract(GetColumnSpecRequest request) { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put("name", String.valueOf(request.getName())); + return params.build(); + } + }) + .build(); + GrpcCallSettings + listColumnSpecsTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(listColumnSpecsMethodDescriptor) + .setParamsExtractor( + new RequestParamsExtractor() { + @Override + public Map extract(ListColumnSpecsRequest request) { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put("parent", String.valueOf(request.getParent())); + return params.build(); + } + }) + .build(); + GrpcCallSettings updateColumnSpecTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(updateColumnSpecMethodDescriptor) + .setParamsExtractor( + new RequestParamsExtractor() { + @Override + public Map extract(UpdateColumnSpecRequest request) { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put( + "column_spec.name", String.valueOf(request.getColumnSpec().getName())); + return params.build(); + } + }) + .build(); + GrpcCallSettings createModelTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(createModelMethodDescriptor) + .setParamsExtractor( + new RequestParamsExtractor() { + @Override + public Map extract(CreateModelRequest request) { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put("parent", String.valueOf(request.getParent())); + return params.build(); + } + }) + .build(); + GrpcCallSettings getModelTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(getModelMethodDescriptor) + .setParamsExtractor( + new RequestParamsExtractor() { + @Override + public Map extract(GetModelRequest request) { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put("name", String.valueOf(request.getName())); + return params.build(); + } + }) + .build(); + GrpcCallSettings listModelsTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(listModelsMethodDescriptor) + .setParamsExtractor( + new RequestParamsExtractor() { + @Override + public Map extract(ListModelsRequest request) { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put("parent", String.valueOf(request.getParent())); + return params.build(); + } + }) + .build(); + GrpcCallSettings deployModelTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(deployModelMethodDescriptor) + .setParamsExtractor( + new RequestParamsExtractor() { + @Override + public Map extract(DeployModelRequest request) { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put("name", String.valueOf(request.getName())); + return params.build(); + } + }) + .build(); + GrpcCallSettings undeployModelTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(undeployModelMethodDescriptor) + .setParamsExtractor( + new RequestParamsExtractor() { + @Override + public Map extract(UndeployModelRequest request) { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put("name", String.valueOf(request.getName())); + return params.build(); + } + }) + .build(); + GrpcCallSettings + getModelEvaluationTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(getModelEvaluationMethodDescriptor) + .setParamsExtractor( + new RequestParamsExtractor() { + @Override + public Map extract(GetModelEvaluationRequest request) { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put("name", String.valueOf(request.getName())); + return params.build(); + } + }) + .build(); + + this.deleteDatasetCallable = + callableFactory.createUnaryCallable( + deleteDatasetTransportSettings, settings.deleteDatasetSettings(), clientContext); + this.deleteDatasetOperationCallable = + callableFactory.createOperationCallable( + deleteDatasetTransportSettings, + settings.deleteDatasetOperationSettings(), + clientContext, + this.operationsStub); + this.importDataCallable = + callableFactory.createUnaryCallable( + importDataTransportSettings, settings.importDataSettings(), clientContext); + this.importDataOperationCallable = + callableFactory.createOperationCallable( + importDataTransportSettings, + settings.importDataOperationSettings(), + clientContext, + this.operationsStub); + this.exportDataCallable = + callableFactory.createUnaryCallable( + exportDataTransportSettings, settings.exportDataSettings(), clientContext); + this.exportDataOperationCallable = + callableFactory.createOperationCallable( + exportDataTransportSettings, + settings.exportDataOperationSettings(), + clientContext, + this.operationsStub); + this.deleteModelCallable = + callableFactory.createUnaryCallable( + deleteModelTransportSettings, settings.deleteModelSettings(), clientContext); + this.deleteModelOperationCallable = + callableFactory.createOperationCallable( + deleteModelTransportSettings, + settings.deleteModelOperationSettings(), + clientContext, + this.operationsStub); + this.exportModelCallable = + callableFactory.createUnaryCallable( + exportModelTransportSettings, settings.exportModelSettings(), clientContext); + this.exportModelOperationCallable = + callableFactory.createOperationCallable( + exportModelTransportSettings, + settings.exportModelOperationSettings(), + clientContext, + this.operationsStub); + this.exportEvaluatedExamplesCallable = + callableFactory.createUnaryCallable( + exportEvaluatedExamplesTransportSettings, + settings.exportEvaluatedExamplesSettings(), + clientContext); + this.exportEvaluatedExamplesOperationCallable = + callableFactory.createOperationCallable( + exportEvaluatedExamplesTransportSettings, + settings.exportEvaluatedExamplesOperationSettings(), + clientContext, + this.operationsStub); + this.listModelEvaluationsCallable = + callableFactory.createUnaryCallable( + listModelEvaluationsTransportSettings, + settings.listModelEvaluationsSettings(), + clientContext); + this.listModelEvaluationsPagedCallable = + callableFactory.createPagedCallable( + listModelEvaluationsTransportSettings, + settings.listModelEvaluationsSettings(), + clientContext); + this.createDatasetCallable = + callableFactory.createUnaryCallable( + createDatasetTransportSettings, settings.createDatasetSettings(), clientContext); + this.getDatasetCallable = + callableFactory.createUnaryCallable( + getDatasetTransportSettings, settings.getDatasetSettings(), clientContext); + this.listDatasetsCallable = + callableFactory.createUnaryCallable( + listDatasetsTransportSettings, settings.listDatasetsSettings(), clientContext); + this.listDatasetsPagedCallable = + callableFactory.createPagedCallable( + listDatasetsTransportSettings, settings.listDatasetsSettings(), clientContext); + this.updateDatasetCallable = + callableFactory.createUnaryCallable( + updateDatasetTransportSettings, settings.updateDatasetSettings(), clientContext); + this.getAnnotationSpecCallable = + callableFactory.createUnaryCallable( + getAnnotationSpecTransportSettings, + settings.getAnnotationSpecSettings(), + clientContext); + this.getTableSpecCallable = + callableFactory.createUnaryCallable( + getTableSpecTransportSettings, settings.getTableSpecSettings(), clientContext); + this.listTableSpecsCallable = + callableFactory.createUnaryCallable( + listTableSpecsTransportSettings, settings.listTableSpecsSettings(), clientContext); + this.listTableSpecsPagedCallable = + callableFactory.createPagedCallable( + listTableSpecsTransportSettings, settings.listTableSpecsSettings(), clientContext); + this.updateTableSpecCallable = + callableFactory.createUnaryCallable( + updateTableSpecTransportSettings, settings.updateTableSpecSettings(), clientContext); + this.getColumnSpecCallable = + callableFactory.createUnaryCallable( + getColumnSpecTransportSettings, settings.getColumnSpecSettings(), clientContext); + this.listColumnSpecsCallable = + callableFactory.createUnaryCallable( + listColumnSpecsTransportSettings, settings.listColumnSpecsSettings(), clientContext); + this.listColumnSpecsPagedCallable = + callableFactory.createPagedCallable( + listColumnSpecsTransportSettings, settings.listColumnSpecsSettings(), clientContext); + this.updateColumnSpecCallable = + callableFactory.createUnaryCallable( + updateColumnSpecTransportSettings, settings.updateColumnSpecSettings(), clientContext); + this.createModelCallable = + callableFactory.createUnaryCallable( + createModelTransportSettings, settings.createModelSettings(), clientContext); + this.createModelOperationCallable = + callableFactory.createOperationCallable( + createModelTransportSettings, + settings.createModelOperationSettings(), + clientContext, + this.operationsStub); + this.getModelCallable = + callableFactory.createUnaryCallable( + getModelTransportSettings, settings.getModelSettings(), clientContext); + this.listModelsCallable = + callableFactory.createUnaryCallable( + listModelsTransportSettings, settings.listModelsSettings(), clientContext); + this.listModelsPagedCallable = + callableFactory.createPagedCallable( + listModelsTransportSettings, settings.listModelsSettings(), clientContext); + this.deployModelCallable = + callableFactory.createUnaryCallable( + deployModelTransportSettings, settings.deployModelSettings(), clientContext); + this.deployModelOperationCallable = + callableFactory.createOperationCallable( + deployModelTransportSettings, + settings.deployModelOperationSettings(), + clientContext, + this.operationsStub); + this.undeployModelCallable = + callableFactory.createUnaryCallable( + undeployModelTransportSettings, settings.undeployModelSettings(), clientContext); + this.undeployModelOperationCallable = + callableFactory.createOperationCallable( + undeployModelTransportSettings, + settings.undeployModelOperationSettings(), + clientContext, + this.operationsStub); + this.getModelEvaluationCallable = + callableFactory.createUnaryCallable( + getModelEvaluationTransportSettings, + settings.getModelEvaluationSettings(), + clientContext); + + backgroundResources = new BackgroundResourceAggregation(clientContext.getBackgroundResources()); + } + + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public GrpcOperationsStub getOperationsStub() { + return operationsStub; + } + + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallable + deleteDatasetOperationCallable() { + return deleteDatasetOperationCallable; + } + + public UnaryCallable deleteDatasetCallable() { + return deleteDatasetCallable; + } + + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallable + importDataOperationCallable() { + return importDataOperationCallable; + } + + public UnaryCallable importDataCallable() { + return importDataCallable; + } + + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallable + exportDataOperationCallable() { + return exportDataOperationCallable; + } + + public UnaryCallable exportDataCallable() { + return exportDataCallable; + } + + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallable + deleteModelOperationCallable() { + return deleteModelOperationCallable; + } + + public UnaryCallable deleteModelCallable() { + return deleteModelCallable; + } + + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallable + exportModelOperationCallable() { + return exportModelOperationCallable; + } + + public UnaryCallable exportModelCallable() { + return exportModelCallable; + } + + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallable + exportEvaluatedExamplesOperationCallable() { + return exportEvaluatedExamplesOperationCallable; + } + + public UnaryCallable + exportEvaluatedExamplesCallable() { + return exportEvaluatedExamplesCallable; + } + + public UnaryCallable + listModelEvaluationsPagedCallable() { + return listModelEvaluationsPagedCallable; + } + + public UnaryCallable + listModelEvaluationsCallable() { + return listModelEvaluationsCallable; + } + + public UnaryCallable createDatasetCallable() { + return createDatasetCallable; + } + + public UnaryCallable getDatasetCallable() { + return getDatasetCallable; + } + + public UnaryCallable listDatasetsPagedCallable() { + return listDatasetsPagedCallable; + } + + public UnaryCallable listDatasetsCallable() { + return listDatasetsCallable; + } + + public UnaryCallable updateDatasetCallable() { + return updateDatasetCallable; + } + + public UnaryCallable getAnnotationSpecCallable() { + return getAnnotationSpecCallable; + } + + public UnaryCallable getTableSpecCallable() { + return getTableSpecCallable; + } + + public UnaryCallable + listTableSpecsPagedCallable() { + return listTableSpecsPagedCallable; + } + + public UnaryCallable listTableSpecsCallable() { + return listTableSpecsCallable; + } + + public UnaryCallable updateTableSpecCallable() { + return updateTableSpecCallable; + } + + public UnaryCallable getColumnSpecCallable() { + return getColumnSpecCallable; + } + + public UnaryCallable + listColumnSpecsPagedCallable() { + return listColumnSpecsPagedCallable; + } + + public UnaryCallable listColumnSpecsCallable() { + return listColumnSpecsCallable; + } + + public UnaryCallable updateColumnSpecCallable() { + return updateColumnSpecCallable; + } + + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallable + createModelOperationCallable() { + return createModelOperationCallable; + } + + public UnaryCallable createModelCallable() { + return createModelCallable; + } + + public UnaryCallable getModelCallable() { + return getModelCallable; + } + + public UnaryCallable listModelsPagedCallable() { + return listModelsPagedCallable; + } + + public UnaryCallable listModelsCallable() { + return listModelsCallable; + } + + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallable + deployModelOperationCallable() { + return deployModelOperationCallable; + } + + public UnaryCallable deployModelCallable() { + return deployModelCallable; + } + + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallable + undeployModelOperationCallable() { + return undeployModelOperationCallable; + } + + public UnaryCallable undeployModelCallable() { + return undeployModelCallable; + } + + public UnaryCallable getModelEvaluationCallable() { + return getModelEvaluationCallable; + } + + @Override + public final void close() { + shutdown(); + } + + @Override + public void shutdown() { + backgroundResources.shutdown(); + } + + @Override + public boolean isShutdown() { + return backgroundResources.isShutdown(); + } + + @Override + public boolean isTerminated() { + return backgroundResources.isTerminated(); + } + + @Override + public void shutdownNow() { + backgroundResources.shutdownNow(); + } + + @Override + public boolean awaitTermination(long duration, TimeUnit unit) throws InterruptedException { + return backgroundResources.awaitTermination(duration, unit); + } +} diff --git a/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/GrpcPredictionServiceCallableFactory.java b/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/GrpcPredictionServiceCallableFactory.java new file mode 100644 index 000000000..4d5ae87ac --- /dev/null +++ b/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/GrpcPredictionServiceCallableFactory.java @@ -0,0 +1,115 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package com.google.cloud.automl.v1beta1.stub; + +import com.google.api.core.BetaApi; +import com.google.api.gax.grpc.GrpcCallSettings; +import com.google.api.gax.grpc.GrpcCallableFactory; +import com.google.api.gax.grpc.GrpcStubCallableFactory; +import com.google.api.gax.rpc.BatchingCallSettings; +import com.google.api.gax.rpc.BidiStreamingCallable; +import com.google.api.gax.rpc.ClientContext; +import com.google.api.gax.rpc.ClientStreamingCallable; +import com.google.api.gax.rpc.OperationCallSettings; +import com.google.api.gax.rpc.OperationCallable; +import com.google.api.gax.rpc.PagedCallSettings; +import com.google.api.gax.rpc.ServerStreamingCallSettings; +import com.google.api.gax.rpc.ServerStreamingCallable; +import com.google.api.gax.rpc.StreamingCallSettings; +import com.google.api.gax.rpc.UnaryCallSettings; +import com.google.api.gax.rpc.UnaryCallable; +import com.google.longrunning.stub.OperationsStub; +import javax.annotation.Generated; + +// AUTO-GENERATED DOCUMENTATION AND CLASS +/** + * gRPC callable factory implementation for Cloud AutoML API. + * + *

This class is for advanced usage. + */ +@Generated("by gapic-generator") +@BetaApi("The surface for use by generated code is not stable yet and may change in the future.") +public class GrpcPredictionServiceCallableFactory implements GrpcStubCallableFactory { + @Override + public UnaryCallable createUnaryCallable( + GrpcCallSettings grpcCallSettings, + UnaryCallSettings callSettings, + ClientContext clientContext) { + return GrpcCallableFactory.createUnaryCallable(grpcCallSettings, callSettings, clientContext); + } + + @Override + public + UnaryCallable createPagedCallable( + GrpcCallSettings grpcCallSettings, + PagedCallSettings pagedCallSettings, + ClientContext clientContext) { + return GrpcCallableFactory.createPagedCallable( + grpcCallSettings, pagedCallSettings, clientContext); + } + + @Override + public UnaryCallable createBatchingCallable( + GrpcCallSettings grpcCallSettings, + BatchingCallSettings batchingCallSettings, + ClientContext clientContext) { + return GrpcCallableFactory.createBatchingCallable( + grpcCallSettings, batchingCallSettings, clientContext); + } + + @BetaApi( + "The surface for long-running operations is not stable yet and may change in the future.") + @Override + public + OperationCallable createOperationCallable( + GrpcCallSettings grpcCallSettings, + OperationCallSettings operationCallSettings, + ClientContext clientContext, + OperationsStub operationsStub) { + return GrpcCallableFactory.createOperationCallable( + grpcCallSettings, operationCallSettings, clientContext, operationsStub); + } + + @Override + public + BidiStreamingCallable createBidiStreamingCallable( + GrpcCallSettings grpcCallSettings, + StreamingCallSettings streamingCallSettings, + ClientContext clientContext) { + return GrpcCallableFactory.createBidiStreamingCallable( + grpcCallSettings, streamingCallSettings, clientContext); + } + + @Override + public + ServerStreamingCallable createServerStreamingCallable( + GrpcCallSettings grpcCallSettings, + ServerStreamingCallSettings streamingCallSettings, + ClientContext clientContext) { + return GrpcCallableFactory.createServerStreamingCallable( + grpcCallSettings, streamingCallSettings, clientContext); + } + + @Override + public + ClientStreamingCallable createClientStreamingCallable( + GrpcCallSettings grpcCallSettings, + StreamingCallSettings streamingCallSettings, + ClientContext clientContext) { + return GrpcCallableFactory.createClientStreamingCallable( + grpcCallSettings, streamingCallSettings, clientContext); + } +} diff --git a/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/GrpcPredictionServiceStub.java b/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/GrpcPredictionServiceStub.java new file mode 100644 index 000000000..927592719 --- /dev/null +++ b/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/GrpcPredictionServiceStub.java @@ -0,0 +1,209 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package com.google.cloud.automl.v1beta1.stub; + +import com.google.api.core.BetaApi; +import com.google.api.gax.core.BackgroundResource; +import com.google.api.gax.core.BackgroundResourceAggregation; +import com.google.api.gax.grpc.GrpcCallSettings; +import com.google.api.gax.grpc.GrpcStubCallableFactory; +import com.google.api.gax.rpc.ClientContext; +import com.google.api.gax.rpc.OperationCallable; +import com.google.api.gax.rpc.RequestParamsExtractor; +import com.google.api.gax.rpc.UnaryCallable; +import com.google.cloud.automl.v1beta1.BatchPredictRequest; +import com.google.cloud.automl.v1beta1.BatchPredictResult; +import com.google.cloud.automl.v1beta1.OperationMetadata; +import com.google.cloud.automl.v1beta1.PredictRequest; +import com.google.cloud.automl.v1beta1.PredictResponse; +import com.google.common.collect.ImmutableMap; +import com.google.longrunning.Operation; +import com.google.longrunning.stub.GrpcOperationsStub; +import io.grpc.MethodDescriptor; +import io.grpc.protobuf.ProtoUtils; +import java.io.IOException; +import java.util.Map; +import java.util.concurrent.TimeUnit; +import javax.annotation.Generated; + +// AUTO-GENERATED DOCUMENTATION AND CLASS +/** + * gRPC stub implementation for Cloud AutoML API. + * + *

This class is for advanced usage and reflects the underlying API directly. + */ +@Generated("by gapic-generator") +@BetaApi("A restructuring of stub classes is planned, so this may break in the future") +public class GrpcPredictionServiceStub extends PredictionServiceStub { + + private static final MethodDescriptor predictMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName("google.cloud.automl.v1beta1.PredictionService/Predict") + .setRequestMarshaller(ProtoUtils.marshaller(PredictRequest.getDefaultInstance())) + .setResponseMarshaller(ProtoUtils.marshaller(PredictResponse.getDefaultInstance())) + .build(); + private static final MethodDescriptor + batchPredictMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName("google.cloud.automl.v1beta1.PredictionService/BatchPredict") + .setRequestMarshaller(ProtoUtils.marshaller(BatchPredictRequest.getDefaultInstance())) + .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance())) + .build(); + + private final BackgroundResource backgroundResources; + private final GrpcOperationsStub operationsStub; + + private final UnaryCallable predictCallable; + private final UnaryCallable batchPredictCallable; + private final OperationCallable + batchPredictOperationCallable; + + private final GrpcStubCallableFactory callableFactory; + + public static final GrpcPredictionServiceStub create(PredictionServiceStubSettings settings) + throws IOException { + return new GrpcPredictionServiceStub(settings, ClientContext.create(settings)); + } + + public static final GrpcPredictionServiceStub create(ClientContext clientContext) + throws IOException { + return new GrpcPredictionServiceStub( + PredictionServiceStubSettings.newBuilder().build(), clientContext); + } + + public static final GrpcPredictionServiceStub create( + ClientContext clientContext, GrpcStubCallableFactory callableFactory) throws IOException { + return new GrpcPredictionServiceStub( + PredictionServiceStubSettings.newBuilder().build(), clientContext, callableFactory); + } + + /** + * Constructs an instance of GrpcPredictionServiceStub, using the given settings. This is + * protected so that it is easy to make a subclass, but otherwise, the static factory methods + * should be preferred. + */ + protected GrpcPredictionServiceStub( + PredictionServiceStubSettings settings, ClientContext clientContext) throws IOException { + this(settings, clientContext, new GrpcPredictionServiceCallableFactory()); + } + + /** + * Constructs an instance of GrpcPredictionServiceStub, using the given settings. This is + * protected so that it is easy to make a subclass, but otherwise, the static factory methods + * should be preferred. + */ + protected GrpcPredictionServiceStub( + PredictionServiceStubSettings settings, + ClientContext clientContext, + GrpcStubCallableFactory callableFactory) + throws IOException { + this.callableFactory = callableFactory; + this.operationsStub = GrpcOperationsStub.create(clientContext, callableFactory); + + GrpcCallSettings predictTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(predictMethodDescriptor) + .setParamsExtractor( + new RequestParamsExtractor() { + @Override + public Map extract(PredictRequest request) { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put("name", String.valueOf(request.getName())); + return params.build(); + } + }) + .build(); + GrpcCallSettings batchPredictTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(batchPredictMethodDescriptor) + .setParamsExtractor( + new RequestParamsExtractor() { + @Override + public Map extract(BatchPredictRequest request) { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put("name", String.valueOf(request.getName())); + return params.build(); + } + }) + .build(); + + this.predictCallable = + callableFactory.createUnaryCallable( + predictTransportSettings, settings.predictSettings(), clientContext); + this.batchPredictCallable = + callableFactory.createUnaryCallable( + batchPredictTransportSettings, settings.batchPredictSettings(), clientContext); + this.batchPredictOperationCallable = + callableFactory.createOperationCallable( + batchPredictTransportSettings, + settings.batchPredictOperationSettings(), + clientContext, + this.operationsStub); + + backgroundResources = new BackgroundResourceAggregation(clientContext.getBackgroundResources()); + } + + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public GrpcOperationsStub getOperationsStub() { + return operationsStub; + } + + public UnaryCallable predictCallable() { + return predictCallable; + } + + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallable + batchPredictOperationCallable() { + return batchPredictOperationCallable; + } + + public UnaryCallable batchPredictCallable() { + return batchPredictCallable; + } + + @Override + public final void close() { + shutdown(); + } + + @Override + public void shutdown() { + backgroundResources.shutdown(); + } + + @Override + public boolean isShutdown() { + return backgroundResources.isShutdown(); + } + + @Override + public boolean isTerminated() { + return backgroundResources.isTerminated(); + } + + @Override + public void shutdownNow() { + backgroundResources.shutdownNow(); + } + + @Override + public boolean awaitTermination(long duration, TimeUnit unit) throws InterruptedException { + return backgroundResources.awaitTermination(duration, unit); + } +} diff --git a/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/PredictionServiceStub.java b/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/PredictionServiceStub.java new file mode 100644 index 000000000..c95152b31 --- /dev/null +++ b/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/PredictionServiceStub.java @@ -0,0 +1,62 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package com.google.cloud.automl.v1beta1.stub; + +import com.google.api.core.BetaApi; +import com.google.api.gax.core.BackgroundResource; +import com.google.api.gax.rpc.OperationCallable; +import com.google.api.gax.rpc.UnaryCallable; +import com.google.cloud.automl.v1beta1.BatchPredictRequest; +import com.google.cloud.automl.v1beta1.BatchPredictResult; +import com.google.cloud.automl.v1beta1.OperationMetadata; +import com.google.cloud.automl.v1beta1.PredictRequest; +import com.google.cloud.automl.v1beta1.PredictResponse; +import com.google.longrunning.Operation; +import com.google.longrunning.stub.OperationsStub; +import javax.annotation.Generated; + +// AUTO-GENERATED DOCUMENTATION AND CLASS +/** + * Base stub class for Cloud AutoML API. + * + *

This class is for advanced usage and reflects the underlying API directly. + */ +@Generated("by gapic-generator") +@BetaApi("A restructuring of stub classes is planned, so this may break in the future") +public abstract class PredictionServiceStub implements BackgroundResource { + + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationsStub getOperationsStub() { + throw new UnsupportedOperationException("Not implemented: getOperationsStub()"); + } + + public UnaryCallable predictCallable() { + throw new UnsupportedOperationException("Not implemented: predictCallable()"); + } + + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallable + batchPredictOperationCallable() { + throw new UnsupportedOperationException("Not implemented: batchPredictOperationCallable()"); + } + + public UnaryCallable batchPredictCallable() { + throw new UnsupportedOperationException("Not implemented: batchPredictCallable()"); + } + + @Override + public abstract void close(); +} diff --git a/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/PredictionServiceStubSettings.java b/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/PredictionServiceStubSettings.java new file mode 100644 index 000000000..c8086bd8e --- /dev/null +++ b/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/PredictionServiceStubSettings.java @@ -0,0 +1,346 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package com.google.cloud.automl.v1beta1.stub; + +import com.google.api.core.ApiFunction; +import com.google.api.core.BetaApi; +import com.google.api.gax.core.GaxProperties; +import com.google.api.gax.core.GoogleCredentialsProvider; +import com.google.api.gax.core.InstantiatingExecutorProvider; +import com.google.api.gax.grpc.GaxGrpcProperties; +import com.google.api.gax.grpc.GrpcTransportChannel; +import com.google.api.gax.grpc.InstantiatingGrpcChannelProvider; +import com.google.api.gax.grpc.ProtoOperationTransformers; +import com.google.api.gax.longrunning.OperationSnapshot; +import com.google.api.gax.longrunning.OperationTimedPollAlgorithm; +import com.google.api.gax.retrying.RetrySettings; +import com.google.api.gax.rpc.ApiClientHeaderProvider; +import com.google.api.gax.rpc.ClientContext; +import com.google.api.gax.rpc.OperationCallSettings; +import com.google.api.gax.rpc.StatusCode; +import com.google.api.gax.rpc.StubSettings; +import com.google.api.gax.rpc.TransportChannelProvider; +import com.google.api.gax.rpc.UnaryCallSettings; +import com.google.cloud.automl.v1beta1.BatchPredictRequest; +import com.google.cloud.automl.v1beta1.BatchPredictResult; +import com.google.cloud.automl.v1beta1.OperationMetadata; +import com.google.cloud.automl.v1beta1.PredictRequest; +import com.google.cloud.automl.v1beta1.PredictResponse; +import com.google.common.collect.ImmutableList; +import com.google.common.collect.ImmutableMap; +import com.google.common.collect.ImmutableSet; +import com.google.common.collect.Lists; +import com.google.longrunning.Operation; +import java.io.IOException; +import java.util.List; +import javax.annotation.Generated; +import org.threeten.bp.Duration; + +// AUTO-GENERATED DOCUMENTATION AND CLASS +/** + * Settings class to configure an instance of {@link PredictionServiceStub}. + * + *

The default instance has everything set to sensible defaults: + * + *

    + *
  • The default service address (automl.googleapis.com) and default port (443) are used. + *
  • Credentials are acquired automatically through Application Default Credentials. + *
  • Retries are configured for idempotent methods but not for non-idempotent methods. + *
+ * + *

The builder of this class is recursive, so contained classes are themselves builders. When + * build() is called, the tree of builders is called to create the complete settings object. + * + *

For example, to set the total timeout of predict to 30 seconds: + * + * 

+ * 
+ * PredictionServiceStubSettings.Builder predictionServiceSettingsBuilder =
+ *     PredictionServiceStubSettings.newBuilder();
+ * predictionServiceSettingsBuilder
+ *     .predictSettings()
+ *     .setRetrySettings(
+ *         predictionServiceSettingsBuilder.predictSettings().getRetrySettings().toBuilder()
+ *             .setTotalTimeout(Duration.ofSeconds(30))
+ *             .build());
+ * PredictionServiceStubSettings predictionServiceSettings = predictionServiceSettingsBuilder.build();
+ * 
+ *
+ */ +@Generated("by gapic-generator") +@BetaApi +public class PredictionServiceStubSettings extends StubSettings { + /** The default scopes of the service. */ + private static final ImmutableList DEFAULT_SERVICE_SCOPES = + ImmutableList.builder().add("https://www.googleapis.com/auth/cloud-platform").build(); + + private final UnaryCallSettings predictSettings; + private final UnaryCallSettings batchPredictSettings; + private final OperationCallSettings + batchPredictOperationSettings; + + /** Returns the object with the settings used for calls to predict. */ + public UnaryCallSettings predictSettings() { + return predictSettings; + } + + /** Returns the object with the settings used for calls to batchPredict. */ + public UnaryCallSettings batchPredictSettings() { + return batchPredictSettings; + } + + /** Returns the object with the settings used for calls to batchPredict. */ + @BetaApi("The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallSettings + batchPredictOperationSettings() { + return batchPredictOperationSettings; + } + + @BetaApi("A restructuring of stub classes is planned, so this may break in the future") + public PredictionServiceStub createStub() throws IOException { + if (getTransportChannelProvider() + .getTransportName() + .equals(GrpcTransportChannel.getGrpcTransportName())) { + return GrpcPredictionServiceStub.create(this); + } else { + throw new UnsupportedOperationException( + "Transport not supported: " + getTransportChannelProvider().getTransportName()); + } + } + + /** Returns a builder for the default ExecutorProvider for this service. */ + public static InstantiatingExecutorProvider.Builder defaultExecutorProviderBuilder() { + return InstantiatingExecutorProvider.newBuilder(); + } + + /** Returns the default service endpoint. */ + public static String getDefaultEndpoint() { + return "automl.googleapis.com:443"; + } + + /** Returns the default service scopes. */ + public static List getDefaultServiceScopes() { + return DEFAULT_SERVICE_SCOPES; + } + + /** Returns a builder for the default credentials for this service. */ + public static GoogleCredentialsProvider.Builder defaultCredentialsProviderBuilder() { + return GoogleCredentialsProvider.newBuilder().setScopesToApply(DEFAULT_SERVICE_SCOPES); + } + + /** Returns a builder for the default ChannelProvider for this service. */ + public static InstantiatingGrpcChannelProvider.Builder defaultGrpcTransportProviderBuilder() { + return InstantiatingGrpcChannelProvider.newBuilder() + .setMaxInboundMessageSize(Integer.MAX_VALUE); + } + + public static TransportChannelProvider defaultTransportChannelProvider() { + return defaultGrpcTransportProviderBuilder().build(); + } + + @BetaApi("The surface for customizing headers is not stable yet and may change in the future.") + public static ApiClientHeaderProvider.Builder defaultApiClientHeaderProviderBuilder() { + return ApiClientHeaderProvider.newBuilder() + .setGeneratedLibToken( + "gapic", GaxProperties.getLibraryVersion(PredictionServiceStubSettings.class)) + .setTransportToken( + GaxGrpcProperties.getGrpcTokenName(), GaxGrpcProperties.getGrpcVersion()); + } + + /** Returns a new builder for this class. */ + public static Builder newBuilder() { + return Builder.createDefault(); + } + + /** Returns a new builder for this class. */ + public static Builder newBuilder(ClientContext clientContext) { + return new Builder(clientContext); + } + + /** Returns a builder containing all the values of this settings class. */ + public Builder toBuilder() { + return new Builder(this); + } + + protected PredictionServiceStubSettings(Builder settingsBuilder) throws IOException { + super(settingsBuilder); + + predictSettings = settingsBuilder.predictSettings().build(); + batchPredictSettings = settingsBuilder.batchPredictSettings().build(); + batchPredictOperationSettings = settingsBuilder.batchPredictOperationSettings().build(); + } + + /** Builder for PredictionServiceStubSettings. */ + public static class Builder extends StubSettings.Builder { + private final ImmutableList> unaryMethodSettingsBuilders; + + private final UnaryCallSettings.Builder predictSettings; + private final UnaryCallSettings.Builder batchPredictSettings; + private final OperationCallSettings.Builder< + BatchPredictRequest, BatchPredictResult, OperationMetadata> + batchPredictOperationSettings; + + private static final ImmutableMap> + RETRYABLE_CODE_DEFINITIONS; + + static { + ImmutableMap.Builder> definitions = + ImmutableMap.builder(); + definitions.put( + "idempotent", + ImmutableSet.copyOf( + Lists.newArrayList( + StatusCode.Code.DEADLINE_EXCEEDED, StatusCode.Code.UNAVAILABLE))); + definitions.put("non_idempotent", ImmutableSet.copyOf(Lists.newArrayList())); + RETRYABLE_CODE_DEFINITIONS = definitions.build(); + } + + private static final ImmutableMap RETRY_PARAM_DEFINITIONS; + + static { + ImmutableMap.Builder definitions = ImmutableMap.builder(); + RetrySettings settings = null; + settings = + RetrySettings.newBuilder() + .setInitialRetryDelay(Duration.ofMillis(100L)) + .setRetryDelayMultiplier(1.3) + .setMaxRetryDelay(Duration.ofMillis(60000L)) + .setInitialRpcTimeout(Duration.ofMillis(60000L)) + .setRpcTimeoutMultiplier(1.0) + .setMaxRpcTimeout(Duration.ofMillis(60000L)) + .setTotalTimeout(Duration.ofMillis(600000L)) + .build(); + definitions.put("default", settings); + RETRY_PARAM_DEFINITIONS = definitions.build(); + } + + protected Builder() { + this((ClientContext) null); + } + + protected Builder(ClientContext clientContext) { + super(clientContext); + + predictSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); + + batchPredictSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); + + batchPredictOperationSettings = OperationCallSettings.newBuilder(); + + unaryMethodSettingsBuilders = + ImmutableList.>of(predictSettings, batchPredictSettings); + + initDefaults(this); + } + + private static Builder createDefault() { + Builder builder = new Builder((ClientContext) null); + builder.setTransportChannelProvider(defaultTransportChannelProvider()); + builder.setCredentialsProvider(defaultCredentialsProviderBuilder().build()); + builder.setInternalHeaderProvider(defaultApiClientHeaderProviderBuilder().build()); + builder.setEndpoint(getDefaultEndpoint()); + return initDefaults(builder); + } + + private static Builder initDefaults(Builder builder) { + + builder + .predictSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")); + + builder + .batchPredictSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")); + builder + .batchPredictOperationSettings() + .setInitialCallSettings( + UnaryCallSettings + .newUnaryCallSettingsBuilder() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default")) + .build()) + .setResponseTransformer( + ProtoOperationTransformers.ResponseTransformer.create(BatchPredictResult.class)) + .setMetadataTransformer( + ProtoOperationTransformers.MetadataTransformer.create(OperationMetadata.class)) + .setPollingAlgorithm( + OperationTimedPollAlgorithm.create( + RetrySettings.newBuilder() + .setInitialRetryDelay(Duration.ofMillis(500L)) + .setRetryDelayMultiplier(1.5) + .setMaxRetryDelay(Duration.ofMillis(5000L)) + .setInitialRpcTimeout(Duration.ZERO) // ignored + .setRpcTimeoutMultiplier(1.0) // ignored + .setMaxRpcTimeout(Duration.ZERO) // ignored + .setTotalTimeout(Duration.ofMillis(300000L)) + .build())); + + return builder; + } + + protected Builder(PredictionServiceStubSettings settings) { + super(settings); + + predictSettings = settings.predictSettings.toBuilder(); + batchPredictSettings = settings.batchPredictSettings.toBuilder(); + batchPredictOperationSettings = settings.batchPredictOperationSettings.toBuilder(); + + unaryMethodSettingsBuilders = + ImmutableList.>of(predictSettings, batchPredictSettings); + } + + // NEXT_MAJOR_VER: remove 'throws Exception' + /** + * Applies the given settings updater function to all of the unary API methods in this service. + * + *

Note: This method does not support applying settings to streaming methods. + */ + public Builder applyToAllUnaryMethods( + ApiFunction, Void> settingsUpdater) throws Exception { + super.applyToAllUnaryMethods(unaryMethodSettingsBuilders, settingsUpdater); + return this; + } + + public ImmutableList> unaryMethodSettingsBuilders() { + return unaryMethodSettingsBuilders; + } + + /** Returns the builder for the settings used for calls to predict. */ + public UnaryCallSettings.Builder predictSettings() { + return predictSettings; + } + + /** Returns the builder for the settings used for calls to batchPredict. */ + public UnaryCallSettings.Builder batchPredictSettings() { + return batchPredictSettings; + } + + /** Returns the builder for the settings used for calls to batchPredict. */ + @BetaApi( + "The surface for use by generated code is not stable yet and may change in the future.") + public OperationCallSettings.Builder + batchPredictOperationSettings() { + return batchPredictOperationSettings; + } + + @Override + public PredictionServiceStubSettings build() throws IOException { + return new PredictionServiceStubSettings(this); + } + } +} diff --git a/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/AutoMlClientTest.java b/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/AutoMlClientTest.java new file mode 100644 index 000000000..fd5231b8d --- /dev/null +++ b/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/AutoMlClientTest.java @@ -0,0 +1,1269 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package com.google.cloud.automl.v1beta1; + +import static com.google.cloud.automl.v1beta1.AutoMlClient.ListColumnSpecsPagedResponse; +import static com.google.cloud.automl.v1beta1.AutoMlClient.ListDatasetsPagedResponse; +import static com.google.cloud.automl.v1beta1.AutoMlClient.ListModelEvaluationsPagedResponse; +import static com.google.cloud.automl.v1beta1.AutoMlClient.ListModelsPagedResponse; +import static com.google.cloud.automl.v1beta1.AutoMlClient.ListTableSpecsPagedResponse; + +import com.google.api.gax.core.NoCredentialsProvider; +import com.google.api.gax.grpc.GaxGrpcProperties; +import com.google.api.gax.grpc.testing.LocalChannelProvider; +import com.google.api.gax.grpc.testing.MockGrpcService; +import com.google.api.gax.grpc.testing.MockServiceHelper; +import com.google.api.gax.rpc.ApiClientHeaderProvider; +import com.google.api.gax.rpc.InvalidArgumentException; +import com.google.api.gax.rpc.StatusCode; +import com.google.common.collect.Lists; +import com.google.longrunning.Operation; +import com.google.protobuf.AbstractMessage; +import com.google.protobuf.Any; +import com.google.protobuf.Empty; +import io.grpc.Status; +import io.grpc.StatusRuntimeException; +import java.io.IOException; +import java.util.Arrays; +import java.util.List; +import java.util.UUID; +import java.util.concurrent.ExecutionException; +import org.junit.After; +import org.junit.AfterClass; +import org.junit.Assert; +import org.junit.Before; +import org.junit.BeforeClass; +import org.junit.Test; + +@javax.annotation.Generated("by GAPIC") +public class AutoMlClientTest { + private static MockPredictionService mockPredictionService; + private static MockAutoMl mockAutoMl; + private static MockServiceHelper serviceHelper; + private AutoMlClient client; + private LocalChannelProvider channelProvider; + + @BeforeClass + public static void startStaticServer() { + mockPredictionService = new MockPredictionService(); + mockAutoMl = new MockAutoMl(); + serviceHelper = + new MockServiceHelper( + UUID.randomUUID().toString(), + Arrays.asList(mockPredictionService, mockAutoMl)); + serviceHelper.start(); + } + + @AfterClass + public static void stopServer() { + serviceHelper.stop(); + } + + @Before + public void setUp() throws IOException { + serviceHelper.reset(); + channelProvider = serviceHelper.createChannelProvider(); + AutoMlSettings settings = + AutoMlSettings.newBuilder() + .setTransportChannelProvider(channelProvider) + .setCredentialsProvider(NoCredentialsProvider.create()) + .build(); + client = AutoMlClient.create(settings); + } + + @After + public void tearDown() throws Exception { + client.close(); + } + + @Test + @SuppressWarnings("all") + public void deleteDatasetTest() throws Exception { + Empty expectedResponse = Empty.newBuilder().build(); + Operation resultOperation = + Operation.newBuilder() + .setName("deleteDatasetTest") + .setDone(true) + .setResponse(Any.pack(expectedResponse)) + .build(); + mockAutoMl.addResponse(resultOperation); + + DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]"); + + Empty actualResponse = client.deleteDatasetAsync(name).get(); + Assert.assertEquals(expectedResponse, actualResponse); + + List actualRequests = mockAutoMl.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + DeleteDatasetRequest actualRequest = (DeleteDatasetRequest) actualRequests.get(0); + + Assert.assertEquals(name, DatasetName.parse(actualRequest.getName())); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + @SuppressWarnings("all") + public void deleteDatasetExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT); + mockAutoMl.addException(exception); + + try { + DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]"); + + client.deleteDatasetAsync(name).get(); + Assert.fail("No exception raised"); + } catch (ExecutionException e) { + Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass()); + InvalidArgumentException apiException = (InvalidArgumentException) e.getCause(); + Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode()); + } + } + + @Test + @SuppressWarnings("all") + public void importDataTest() throws Exception { + Empty expectedResponse = Empty.newBuilder().build(); + Operation resultOperation = + Operation.newBuilder() + .setName("importDataTest") + .setDone(true) + .setResponse(Any.pack(expectedResponse)) + .build(); + mockAutoMl.addResponse(resultOperation); + + DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]"); + InputConfig inputConfig = InputConfig.newBuilder().build(); + + Empty actualResponse = client.importDataAsync(name, inputConfig).get(); + Assert.assertEquals(expectedResponse, actualResponse); + + List actualRequests = mockAutoMl.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + ImportDataRequest actualRequest = (ImportDataRequest) actualRequests.get(0); + + Assert.assertEquals(name, DatasetName.parse(actualRequest.getName())); + Assert.assertEquals(inputConfig, actualRequest.getInputConfig()); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + @SuppressWarnings("all") + public void importDataExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT); + mockAutoMl.addException(exception); + + try { + DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]"); + InputConfig inputConfig = InputConfig.newBuilder().build(); + + client.importDataAsync(name, inputConfig).get(); + Assert.fail("No exception raised"); + } catch (ExecutionException e) { + Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass()); + InvalidArgumentException apiException = (InvalidArgumentException) e.getCause(); + Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode()); + } + } + + @Test + @SuppressWarnings("all") + public void exportDataTest() throws Exception { + Empty expectedResponse = Empty.newBuilder().build(); + Operation resultOperation = + Operation.newBuilder() + .setName("exportDataTest") + .setDone(true) + .setResponse(Any.pack(expectedResponse)) + .build(); + mockAutoMl.addResponse(resultOperation); + + DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]"); + OutputConfig outputConfig = OutputConfig.newBuilder().build(); + + Empty actualResponse = client.exportDataAsync(name, outputConfig).get(); + Assert.assertEquals(expectedResponse, actualResponse); + + List actualRequests = mockAutoMl.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + ExportDataRequest actualRequest = (ExportDataRequest) actualRequests.get(0); + + Assert.assertEquals(name, DatasetName.parse(actualRequest.getName())); + Assert.assertEquals(outputConfig, actualRequest.getOutputConfig()); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + @SuppressWarnings("all") + public void exportDataExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT); + mockAutoMl.addException(exception); + + try { + DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]"); + OutputConfig outputConfig = OutputConfig.newBuilder().build(); + + client.exportDataAsync(name, outputConfig).get(); + Assert.fail("No exception raised"); + } catch (ExecutionException e) { + Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass()); + InvalidArgumentException apiException = (InvalidArgumentException) e.getCause(); + Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode()); + } + } + + @Test + @SuppressWarnings("all") + public void deleteModelTest() throws Exception { + Empty expectedResponse = Empty.newBuilder().build(); + Operation resultOperation = + Operation.newBuilder() + .setName("deleteModelTest") + .setDone(true) + .setResponse(Any.pack(expectedResponse)) + .build(); + mockAutoMl.addResponse(resultOperation); + + ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]"); + + Empty actualResponse = client.deleteModelAsync(name).get(); + Assert.assertEquals(expectedResponse, actualResponse); + + List actualRequests = mockAutoMl.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + DeleteModelRequest actualRequest = (DeleteModelRequest) actualRequests.get(0); + + Assert.assertEquals(name, ModelName.parse(actualRequest.getName())); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + @SuppressWarnings("all") + public void deleteModelExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT); + mockAutoMl.addException(exception); + + try { + ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]"); + + client.deleteModelAsync(name).get(); + Assert.fail("No exception raised"); + } catch (ExecutionException e) { + Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass()); + InvalidArgumentException apiException = (InvalidArgumentException) e.getCause(); + Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode()); + } + } + + @Test + @SuppressWarnings("all") + public void exportModelTest() throws Exception { + Empty expectedResponse = Empty.newBuilder().build(); + Operation resultOperation = + Operation.newBuilder() + .setName("exportModelTest") + .setDone(true) + .setResponse(Any.pack(expectedResponse)) + .build(); + mockAutoMl.addResponse(resultOperation); + + ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]"); + ModelExportOutputConfig outputConfig = ModelExportOutputConfig.newBuilder().build(); + + Empty actualResponse = client.exportModelAsync(name, outputConfig).get(); + Assert.assertEquals(expectedResponse, actualResponse); + + List actualRequests = mockAutoMl.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + ExportModelRequest actualRequest = (ExportModelRequest) actualRequests.get(0); + + Assert.assertEquals(name, ModelName.parse(actualRequest.getName())); + Assert.assertEquals(outputConfig, actualRequest.getOutputConfig()); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + @SuppressWarnings("all") + public void exportModelExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT); + mockAutoMl.addException(exception); + + try { + ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]"); + ModelExportOutputConfig outputConfig = ModelExportOutputConfig.newBuilder().build(); + + client.exportModelAsync(name, outputConfig).get(); + Assert.fail("No exception raised"); + } catch (ExecutionException e) { + Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass()); + InvalidArgumentException apiException = (InvalidArgumentException) e.getCause(); + Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode()); + } + } + + @Test + @SuppressWarnings("all") + public void exportEvaluatedExamplesTest() throws Exception { + Empty expectedResponse = Empty.newBuilder().build(); + Operation resultOperation = + Operation.newBuilder() + .setName("exportEvaluatedExamplesTest") + .setDone(true) + .setResponse(Any.pack(expectedResponse)) + .build(); + mockAutoMl.addResponse(resultOperation); + + ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]"); + ExportEvaluatedExamplesOutputConfig outputConfig = + ExportEvaluatedExamplesOutputConfig.newBuilder().build(); + + Empty actualResponse = client.exportEvaluatedExamplesAsync(name, outputConfig).get(); + Assert.assertEquals(expectedResponse, actualResponse); + + List actualRequests = mockAutoMl.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + ExportEvaluatedExamplesRequest actualRequest = + (ExportEvaluatedExamplesRequest) actualRequests.get(0); + + Assert.assertEquals(name, ModelName.parse(actualRequest.getName())); + Assert.assertEquals(outputConfig, actualRequest.getOutputConfig()); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + @SuppressWarnings("all") + public void exportEvaluatedExamplesExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT); + mockAutoMl.addException(exception); + + try { + ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]"); + ExportEvaluatedExamplesOutputConfig outputConfig = + ExportEvaluatedExamplesOutputConfig.newBuilder().build(); + + client.exportEvaluatedExamplesAsync(name, outputConfig).get(); + Assert.fail("No exception raised"); + } catch (ExecutionException e) { + Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass()); + InvalidArgumentException apiException = (InvalidArgumentException) e.getCause(); + Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode()); + } + } + + @Test + @SuppressWarnings("all") + public void listModelEvaluationsTest() { + String nextPageToken = ""; + ModelEvaluation modelEvaluationElement = ModelEvaluation.newBuilder().build(); + List modelEvaluation = Arrays.asList(modelEvaluationElement); + ListModelEvaluationsResponse expectedResponse = + ListModelEvaluationsResponse.newBuilder() + .setNextPageToken(nextPageToken) + .addAllModelEvaluation(modelEvaluation) + .build(); + mockAutoMl.addResponse(expectedResponse); + + ModelName parent = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]"); + + ListModelEvaluationsPagedResponse pagedListResponse = client.listModelEvaluations(parent); + + List resources = Lists.newArrayList(pagedListResponse.iterateAll()); + Assert.assertEquals(1, resources.size()); + Assert.assertEquals(expectedResponse.getModelEvaluationList().get(0), resources.get(0)); + + List actualRequests = mockAutoMl.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + ListModelEvaluationsRequest actualRequest = (ListModelEvaluationsRequest) actualRequests.get(0); + + Assert.assertEquals(parent, ModelName.parse(actualRequest.getParent())); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + @SuppressWarnings("all") + public void listModelEvaluationsExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT); + mockAutoMl.addException(exception); + + try { + ModelName parent = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]"); + + client.listModelEvaluations(parent); + Assert.fail("No exception raised"); + } catch (InvalidArgumentException e) { + // Expected exception + } + } + + @Test + @SuppressWarnings("all") + public void createDatasetTest() { + DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]"); + String displayName = "displayName1615086568"; + String description = "description-1724546052"; + int exampleCount = 1517063674; + String etag = "etag3123477"; + Dataset expectedResponse = + Dataset.newBuilder() + .setName(name.toString()) + .setDisplayName(displayName) + .setDescription(description) + .setExampleCount(exampleCount) + .setEtag(etag) + .build(); + mockAutoMl.addResponse(expectedResponse); + + LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]"); + Dataset dataset = Dataset.newBuilder().build(); + + Dataset actualResponse = client.createDataset(parent, dataset); + Assert.assertEquals(expectedResponse, actualResponse); + + List actualRequests = mockAutoMl.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + CreateDatasetRequest actualRequest = (CreateDatasetRequest) actualRequests.get(0); + + Assert.assertEquals(parent, LocationName.parse(actualRequest.getParent())); + Assert.assertEquals(dataset, actualRequest.getDataset()); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + @SuppressWarnings("all") + public void createDatasetExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT); + mockAutoMl.addException(exception); + + try { + LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]"); + Dataset dataset = Dataset.newBuilder().build(); + + client.createDataset(parent, dataset); + Assert.fail("No exception raised"); + } catch (InvalidArgumentException e) { + // Expected exception + } + } + + @Test + @SuppressWarnings("all") + public void getDatasetTest() { + DatasetName name2 = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]"); + String displayName = "displayName1615086568"; + String description = "description-1724546052"; + int exampleCount = 1517063674; + String etag = "etag3123477"; + Dataset expectedResponse = + Dataset.newBuilder() + .setName(name2.toString()) + .setDisplayName(displayName) + .setDescription(description) + .setExampleCount(exampleCount) + .setEtag(etag) + .build(); + mockAutoMl.addResponse(expectedResponse); + + DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]"); + + Dataset actualResponse = client.getDataset(name); + Assert.assertEquals(expectedResponse, actualResponse); + + List actualRequests = mockAutoMl.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + GetDatasetRequest actualRequest = (GetDatasetRequest) actualRequests.get(0); + + Assert.assertEquals(name, DatasetName.parse(actualRequest.getName())); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + @SuppressWarnings("all") + public void getDatasetExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT); + mockAutoMl.addException(exception); + + try { + DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]"); + + client.getDataset(name); + Assert.fail("No exception raised"); + } catch (InvalidArgumentException e) { + // Expected exception + } + } + + @Test + @SuppressWarnings("all") + public void listDatasetsTest() { + String nextPageToken = ""; + Dataset datasetsElement = Dataset.newBuilder().build(); + List datasets = Arrays.asList(datasetsElement); + ListDatasetsResponse expectedResponse = + ListDatasetsResponse.newBuilder() + .setNextPageToken(nextPageToken) + .addAllDatasets(datasets) + .build(); + mockAutoMl.addResponse(expectedResponse); + + LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]"); + + ListDatasetsPagedResponse pagedListResponse = client.listDatasets(parent); + + List resources = Lists.newArrayList(pagedListResponse.iterateAll()); + Assert.assertEquals(1, resources.size()); + Assert.assertEquals(expectedResponse.getDatasetsList().get(0), resources.get(0)); + + List actualRequests = mockAutoMl.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + ListDatasetsRequest actualRequest = (ListDatasetsRequest) actualRequests.get(0); + + Assert.assertEquals(parent, LocationName.parse(actualRequest.getParent())); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + @SuppressWarnings("all") + public void listDatasetsExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT); + mockAutoMl.addException(exception); + + try { + LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]"); + + client.listDatasets(parent); + Assert.fail("No exception raised"); + } catch (InvalidArgumentException e) { + // Expected exception + } + } + + @Test + @SuppressWarnings("all") + public void updateDatasetTest() { + DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]"); + String displayName = "displayName1615086568"; + String description = "description-1724546052"; + int exampleCount = 1517063674; + String etag = "etag3123477"; + Dataset expectedResponse = + Dataset.newBuilder() + .setName(name.toString()) + .setDisplayName(displayName) + .setDescription(description) + .setExampleCount(exampleCount) + .setEtag(etag) + .build(); + mockAutoMl.addResponse(expectedResponse); + + Dataset dataset = Dataset.newBuilder().build(); + + Dataset actualResponse = client.updateDataset(dataset); + Assert.assertEquals(expectedResponse, actualResponse); + + List actualRequests = mockAutoMl.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + UpdateDatasetRequest actualRequest = (UpdateDatasetRequest) actualRequests.get(0); + + Assert.assertEquals(dataset, actualRequest.getDataset()); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + @SuppressWarnings("all") + public void updateDatasetExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT); + mockAutoMl.addException(exception); + + try { + Dataset dataset = Dataset.newBuilder().build(); + + client.updateDataset(dataset); + Assert.fail("No exception raised"); + } catch (InvalidArgumentException e) { + // Expected exception + } + } + + @Test + @SuppressWarnings("all") + public void getAnnotationSpecTest() { + AnnotationSpecName name2 = + AnnotationSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]"); + String displayName = "displayName1615086568"; + int exampleCount = 1517063674; + AnnotationSpec expectedResponse = + AnnotationSpec.newBuilder() + .setName(name2.toString()) + .setDisplayName(displayName) + .setExampleCount(exampleCount) + .build(); + mockAutoMl.addResponse(expectedResponse); + + AnnotationSpecName name = + AnnotationSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]"); + + AnnotationSpec actualResponse = client.getAnnotationSpec(name); + Assert.assertEquals(expectedResponse, actualResponse); + + List actualRequests = mockAutoMl.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + GetAnnotationSpecRequest actualRequest = (GetAnnotationSpecRequest) actualRequests.get(0); + + Assert.assertEquals(name, AnnotationSpecName.parse(actualRequest.getName())); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + @SuppressWarnings("all") + public void getAnnotationSpecExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT); + mockAutoMl.addException(exception); + + try { + AnnotationSpecName name = + AnnotationSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]"); + + client.getAnnotationSpec(name); + Assert.fail("No exception raised"); + } catch (InvalidArgumentException e) { + // Expected exception + } + } + + @Test + @SuppressWarnings("all") + public void getTableSpecTest() { + TableSpecName name2 = TableSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]"); + String timeColumnSpecId = "timeColumnSpecId1558734824"; + long rowCount = 1340416618L; + long validRowCount = 406068761L; + long columnCount = 122671386L; + String etag = "etag3123477"; + TableSpec expectedResponse = + TableSpec.newBuilder() + .setName(name2.toString()) + .setTimeColumnSpecId(timeColumnSpecId) + .setRowCount(rowCount) + .setValidRowCount(validRowCount) + .setColumnCount(columnCount) + .setEtag(etag) + .build(); + mockAutoMl.addResponse(expectedResponse); + + TableSpecName name = TableSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]"); + + TableSpec actualResponse = client.getTableSpec(name); + Assert.assertEquals(expectedResponse, actualResponse); + + List actualRequests = mockAutoMl.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + GetTableSpecRequest actualRequest = (GetTableSpecRequest) actualRequests.get(0); + + Assert.assertEquals(name, TableSpecName.parse(actualRequest.getName())); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + @SuppressWarnings("all") + public void getTableSpecExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT); + mockAutoMl.addException(exception); + + try { + TableSpecName name = TableSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]"); + + client.getTableSpec(name); + Assert.fail("No exception raised"); + } catch (InvalidArgumentException e) { + // Expected exception + } + } + + @Test + @SuppressWarnings("all") + public void listTableSpecsTest() { + String nextPageToken = ""; + TableSpec tableSpecsElement = TableSpec.newBuilder().build(); + List tableSpecs = Arrays.asList(tableSpecsElement); + ListTableSpecsResponse expectedResponse = + ListTableSpecsResponse.newBuilder() + .setNextPageToken(nextPageToken) + .addAllTableSpecs(tableSpecs) + .build(); + mockAutoMl.addResponse(expectedResponse); + + DatasetName parent = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]"); + + ListTableSpecsPagedResponse pagedListResponse = client.listTableSpecs(parent); + + List resources = Lists.newArrayList(pagedListResponse.iterateAll()); + Assert.assertEquals(1, resources.size()); + Assert.assertEquals(expectedResponse.getTableSpecsList().get(0), resources.get(0)); + + List actualRequests = mockAutoMl.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + ListTableSpecsRequest actualRequest = (ListTableSpecsRequest) actualRequests.get(0); + + Assert.assertEquals(parent, DatasetName.parse(actualRequest.getParent())); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + @SuppressWarnings("all") + public void listTableSpecsExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT); + mockAutoMl.addException(exception); + + try { + DatasetName parent = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]"); + + client.listTableSpecs(parent); + Assert.fail("No exception raised"); + } catch (InvalidArgumentException e) { + // Expected exception + } + } + + @Test + @SuppressWarnings("all") + public void updateTableSpecTest() { + TableSpecName name = TableSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]"); + String timeColumnSpecId = "timeColumnSpecId1558734824"; + long rowCount = 1340416618L; + long validRowCount = 406068761L; + long columnCount = 122671386L; + String etag = "etag3123477"; + TableSpec expectedResponse = + TableSpec.newBuilder() + .setName(name.toString()) + .setTimeColumnSpecId(timeColumnSpecId) + .setRowCount(rowCount) + .setValidRowCount(validRowCount) + .setColumnCount(columnCount) + .setEtag(etag) + .build(); + mockAutoMl.addResponse(expectedResponse); + + TableSpec tableSpec = TableSpec.newBuilder().build(); + + TableSpec actualResponse = client.updateTableSpec(tableSpec); + Assert.assertEquals(expectedResponse, actualResponse); + + List actualRequests = mockAutoMl.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + UpdateTableSpecRequest actualRequest = (UpdateTableSpecRequest) actualRequests.get(0); + + Assert.assertEquals(tableSpec, actualRequest.getTableSpec()); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + @SuppressWarnings("all") + public void updateTableSpecExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT); + mockAutoMl.addException(exception); + + try { + TableSpec tableSpec = TableSpec.newBuilder().build(); + + client.updateTableSpec(tableSpec); + Assert.fail("No exception raised"); + } catch (InvalidArgumentException e) { + // Expected exception + } + } + + @Test + @SuppressWarnings("all") + public void getColumnSpecTest() { + ColumnSpecName name2 = + ColumnSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]", "[COLUMN_SPEC]"); + String displayName = "displayName1615086568"; + String etag = "etag3123477"; + ColumnSpec expectedResponse = + ColumnSpec.newBuilder() + .setName(name2.toString()) + .setDisplayName(displayName) + .setEtag(etag) + .build(); + mockAutoMl.addResponse(expectedResponse); + + ColumnSpecName name = + ColumnSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]", "[COLUMN_SPEC]"); + + ColumnSpec actualResponse = client.getColumnSpec(name); + Assert.assertEquals(expectedResponse, actualResponse); + + List actualRequests = mockAutoMl.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + GetColumnSpecRequest actualRequest = (GetColumnSpecRequest) actualRequests.get(0); + + Assert.assertEquals(name, ColumnSpecName.parse(actualRequest.getName())); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + @SuppressWarnings("all") + public void getColumnSpecExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT); + mockAutoMl.addException(exception); + + try { + ColumnSpecName name = + ColumnSpecName.of( + "[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]", "[COLUMN_SPEC]"); + + client.getColumnSpec(name); + Assert.fail("No exception raised"); + } catch (InvalidArgumentException e) { + // Expected exception + } + } + + @Test + @SuppressWarnings("all") + public void listColumnSpecsTest() { + String nextPageToken = ""; + ColumnSpec columnSpecsElement = ColumnSpec.newBuilder().build(); + List columnSpecs = Arrays.asList(columnSpecsElement); + ListColumnSpecsResponse expectedResponse = + ListColumnSpecsResponse.newBuilder() + .setNextPageToken(nextPageToken) + .addAllColumnSpecs(columnSpecs) + .build(); + mockAutoMl.addResponse(expectedResponse); + + TableSpecName parent = TableSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]"); + + ListColumnSpecsPagedResponse pagedListResponse = client.listColumnSpecs(parent); + + List resources = Lists.newArrayList(pagedListResponse.iterateAll()); + Assert.assertEquals(1, resources.size()); + Assert.assertEquals(expectedResponse.getColumnSpecsList().get(0), resources.get(0)); + + List actualRequests = mockAutoMl.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + ListColumnSpecsRequest actualRequest = (ListColumnSpecsRequest) actualRequests.get(0); + + Assert.assertEquals(parent, TableSpecName.parse(actualRequest.getParent())); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + @SuppressWarnings("all") + public void listColumnSpecsExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT); + mockAutoMl.addException(exception); + + try { + TableSpecName parent = + TableSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]"); + + client.listColumnSpecs(parent); + Assert.fail("No exception raised"); + } catch (InvalidArgumentException e) { + // Expected exception + } + } + + @Test + @SuppressWarnings("all") + public void updateColumnSpecTest() { + ColumnSpecName name = + ColumnSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]", "[COLUMN_SPEC]"); + String displayName = "displayName1615086568"; + String etag = "etag3123477"; + ColumnSpec expectedResponse = + ColumnSpec.newBuilder() + .setName(name.toString()) + .setDisplayName(displayName) + .setEtag(etag) + .build(); + mockAutoMl.addResponse(expectedResponse); + + ColumnSpec columnSpec = ColumnSpec.newBuilder().build(); + + ColumnSpec actualResponse = client.updateColumnSpec(columnSpec); + Assert.assertEquals(expectedResponse, actualResponse); + + List actualRequests = mockAutoMl.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + UpdateColumnSpecRequest actualRequest = (UpdateColumnSpecRequest) actualRequests.get(0); + + Assert.assertEquals(columnSpec, actualRequest.getColumnSpec()); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + @SuppressWarnings("all") + public void updateColumnSpecExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT); + mockAutoMl.addException(exception); + + try { + ColumnSpec columnSpec = ColumnSpec.newBuilder().build(); + + client.updateColumnSpec(columnSpec); + Assert.fail("No exception raised"); + } catch (InvalidArgumentException e) { + // Expected exception + } + } + + @Test + @SuppressWarnings("all") + public void createModelTest() throws Exception { + ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]"); + String displayName = "displayName1615086568"; + String datasetId = "datasetId-2115646910"; + Model expectedResponse = + Model.newBuilder() + .setName(name.toString()) + .setDisplayName(displayName) + .setDatasetId(datasetId) + .build(); + Operation resultOperation = + Operation.newBuilder() + .setName("createModelTest") + .setDone(true) + .setResponse(Any.pack(expectedResponse)) + .build(); + mockAutoMl.addResponse(resultOperation); + + LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]"); + Model model = Model.newBuilder().build(); + + Model actualResponse = client.createModelAsync(parent, model).get(); + Assert.assertEquals(expectedResponse, actualResponse); + + List actualRequests = mockAutoMl.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + CreateModelRequest actualRequest = (CreateModelRequest) actualRequests.get(0); + + Assert.assertEquals(parent, LocationName.parse(actualRequest.getParent())); + Assert.assertEquals(model, actualRequest.getModel()); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + @SuppressWarnings("all") + public void createModelExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT); + mockAutoMl.addException(exception); + + try { + LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]"); + Model model = Model.newBuilder().build(); + + client.createModelAsync(parent, model).get(); + Assert.fail("No exception raised"); + } catch (ExecutionException e) { + Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass()); + InvalidArgumentException apiException = (InvalidArgumentException) e.getCause(); + Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode()); + } + } + + @Test + @SuppressWarnings("all") + public void getModelTest() { + ModelName name2 = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]"); + String displayName = "displayName1615086568"; + String datasetId = "datasetId-2115646910"; + Model expectedResponse = + Model.newBuilder() + .setName(name2.toString()) + .setDisplayName(displayName) + .setDatasetId(datasetId) + .build(); + mockAutoMl.addResponse(expectedResponse); + + ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]"); + + Model actualResponse = client.getModel(name); + Assert.assertEquals(expectedResponse, actualResponse); + + List actualRequests = mockAutoMl.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + GetModelRequest actualRequest = (GetModelRequest) actualRequests.get(0); + + Assert.assertEquals(name, ModelName.parse(actualRequest.getName())); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + @SuppressWarnings("all") + public void getModelExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT); + mockAutoMl.addException(exception); + + try { + ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]"); + + client.getModel(name); + Assert.fail("No exception raised"); + } catch (InvalidArgumentException e) { + // Expected exception + } + } + + @Test + @SuppressWarnings("all") + public void listModelsTest() { + String nextPageToken = ""; + Model modelElement = Model.newBuilder().build(); + List model = Arrays.asList(modelElement); + ListModelsResponse expectedResponse = + ListModelsResponse.newBuilder().setNextPageToken(nextPageToken).addAllModel(model).build(); + mockAutoMl.addResponse(expectedResponse); + + LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]"); + + ListModelsPagedResponse pagedListResponse = client.listModels(parent); + + List resources = Lists.newArrayList(pagedListResponse.iterateAll()); + Assert.assertEquals(1, resources.size()); + Assert.assertEquals(expectedResponse.getModelList().get(0), resources.get(0)); + + List actualRequests = mockAutoMl.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + ListModelsRequest actualRequest = (ListModelsRequest) actualRequests.get(0); + + Assert.assertEquals(parent, LocationName.parse(actualRequest.getParent())); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + @SuppressWarnings("all") + public void listModelsExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT); + mockAutoMl.addException(exception); + + try { + LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]"); + + client.listModels(parent); + Assert.fail("No exception raised"); + } catch (InvalidArgumentException e) { + // Expected exception + } + } + + @Test + @SuppressWarnings("all") + public void deployModelTest() throws Exception { + Empty expectedResponse = Empty.newBuilder().build(); + Operation resultOperation = + Operation.newBuilder() + .setName("deployModelTest") + .setDone(true) + .setResponse(Any.pack(expectedResponse)) + .build(); + mockAutoMl.addResponse(resultOperation); + + ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]"); + + Empty actualResponse = client.deployModelAsync(name).get(); + Assert.assertEquals(expectedResponse, actualResponse); + + List actualRequests = mockAutoMl.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + DeployModelRequest actualRequest = (DeployModelRequest) actualRequests.get(0); + + Assert.assertEquals(name, ModelName.parse(actualRequest.getName())); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + @SuppressWarnings("all") + public void deployModelExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT); + mockAutoMl.addException(exception); + + try { + ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]"); + + client.deployModelAsync(name).get(); + Assert.fail("No exception raised"); + } catch (ExecutionException e) { + Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass()); + InvalidArgumentException apiException = (InvalidArgumentException) e.getCause(); + Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode()); + } + } + + @Test + @SuppressWarnings("all") + public void undeployModelTest() throws Exception { + Empty expectedResponse = Empty.newBuilder().build(); + Operation resultOperation = + Operation.newBuilder() + .setName("undeployModelTest") + .setDone(true) + .setResponse(Any.pack(expectedResponse)) + .build(); + mockAutoMl.addResponse(resultOperation); + + ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]"); + + Empty actualResponse = client.undeployModelAsync(name).get(); + Assert.assertEquals(expectedResponse, actualResponse); + + List actualRequests = mockAutoMl.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + UndeployModelRequest actualRequest = (UndeployModelRequest) actualRequests.get(0); + + Assert.assertEquals(name, ModelName.parse(actualRequest.getName())); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + @SuppressWarnings("all") + public void undeployModelExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT); + mockAutoMl.addException(exception); + + try { + ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]"); + + client.undeployModelAsync(name).get(); + Assert.fail("No exception raised"); + } catch (ExecutionException e) { + Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass()); + InvalidArgumentException apiException = (InvalidArgumentException) e.getCause(); + Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode()); + } + } + + @Test + @SuppressWarnings("all") + public void getModelEvaluationTest() { + ModelEvaluationName name2 = + ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[MODEL_EVALUATION]"); + String annotationSpecId = "annotationSpecId60690191"; + String displayName = "displayName1615086568"; + int evaluatedExampleCount = 277565350; + ModelEvaluation expectedResponse = + ModelEvaluation.newBuilder() + .setName(name2.toString()) + .setAnnotationSpecId(annotationSpecId) + .setDisplayName(displayName) + .setEvaluatedExampleCount(evaluatedExampleCount) + .build(); + mockAutoMl.addResponse(expectedResponse); + + ModelEvaluationName name = + ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[MODEL_EVALUATION]"); + + ModelEvaluation actualResponse = client.getModelEvaluation(name); + Assert.assertEquals(expectedResponse, actualResponse); + + List actualRequests = mockAutoMl.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + GetModelEvaluationRequest actualRequest = (GetModelEvaluationRequest) actualRequests.get(0); + + Assert.assertEquals(name, ModelEvaluationName.parse(actualRequest.getName())); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + @SuppressWarnings("all") + public void getModelEvaluationExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT); + mockAutoMl.addException(exception); + + try { + ModelEvaluationName name = + ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[MODEL_EVALUATION]"); + + client.getModelEvaluation(name); + Assert.fail("No exception raised"); + } catch (InvalidArgumentException e) { + // Expected exception + } + } +} diff --git a/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/MockAutoMl.java b/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/MockAutoMl.java new file mode 100644 index 000000000..35c01d47f --- /dev/null +++ b/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/MockAutoMl.java @@ -0,0 +1,57 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package com.google.cloud.automl.v1beta1; + +import com.google.api.core.BetaApi; +import com.google.api.gax.grpc.testing.MockGrpcService; +import com.google.protobuf.AbstractMessage; +import io.grpc.ServerServiceDefinition; +import java.util.List; + +@javax.annotation.Generated("by GAPIC") +@BetaApi +public class MockAutoMl implements MockGrpcService { + private final MockAutoMlImpl serviceImpl; + + public MockAutoMl() { + serviceImpl = new MockAutoMlImpl(); + } + + @Override + public List getRequests() { + return serviceImpl.getRequests(); + } + + @Override + public void addResponse(AbstractMessage response) { + serviceImpl.addResponse(response); + } + + @Override + public void addException(Exception exception) { + serviceImpl.addException(exception); + } + + @Override + public ServerServiceDefinition getServiceDefinition() { + return serviceImpl.bindService(); + } + + @Override + public void reset() { + serviceImpl.reset(); + } +} diff --git a/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/MockAutoMlImpl.java b/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/MockAutoMlImpl.java new file mode 100644 index 000000000..8f5a614f5 --- /dev/null +++ b/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/MockAutoMlImpl.java @@ -0,0 +1,412 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package com.google.cloud.automl.v1beta1; + +import com.google.api.core.BetaApi; +import com.google.cloud.automl.v1beta1.AutoMlGrpc.AutoMlImplBase; +import com.google.longrunning.Operation; +import com.google.protobuf.AbstractMessage; +import io.grpc.stub.StreamObserver; +import java.util.ArrayList; +import java.util.LinkedList; +import java.util.List; +import java.util.Queue; + +@javax.annotation.Generated("by GAPIC") +@BetaApi +public class MockAutoMlImpl extends AutoMlImplBase { + private List requests; + private Queue responses; + + public MockAutoMlImpl() { + requests = new ArrayList<>(); + responses = new LinkedList<>(); + } + + public List getRequests() { + return requests; + } + + public void addResponse(AbstractMessage response) { + responses.add(response); + } + + public void setResponses(List responses) { + this.responses = new LinkedList(responses); + } + + public void addException(Exception exception) { + responses.add(exception); + } + + public void reset() { + requests = new ArrayList<>(); + responses = new LinkedList<>(); + } + + @Override + public void createDataset( + CreateDatasetRequest request, StreamObserver responseObserver) { + Object response = responses.remove(); + if (response instanceof Dataset) { + requests.add(request); + responseObserver.onNext((Dataset) response); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError((Exception) response); + } else { + responseObserver.onError(new IllegalArgumentException("Unrecognized response type")); + } + } + + @Override + public void getDataset(GetDatasetRequest request, StreamObserver responseObserver) { + Object response = responses.remove(); + if (response instanceof Dataset) { + requests.add(request); + responseObserver.onNext((Dataset) response); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError((Exception) response); + } else { + responseObserver.onError(new IllegalArgumentException("Unrecognized response type")); + } + } + + @Override + public void listDatasets( + ListDatasetsRequest request, StreamObserver responseObserver) { + Object response = responses.remove(); + if (response instanceof ListDatasetsResponse) { + requests.add(request); + responseObserver.onNext((ListDatasetsResponse) response); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError((Exception) response); + } else { + responseObserver.onError(new IllegalArgumentException("Unrecognized response type")); + } + } + + @Override + public void updateDataset( + UpdateDatasetRequest request, StreamObserver responseObserver) { + Object response = responses.remove(); + if (response instanceof Dataset) { + requests.add(request); + responseObserver.onNext((Dataset) response); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError((Exception) response); + } else { + responseObserver.onError(new IllegalArgumentException("Unrecognized response type")); + } + } + + @Override + public void deleteDataset( + DeleteDatasetRequest request, StreamObserver responseObserver) { + Object response = responses.remove(); + if (response instanceof Operation) { + requests.add(request); + responseObserver.onNext((Operation) response); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError((Exception) response); + } else { + responseObserver.onError(new IllegalArgumentException("Unrecognized response type")); + } + } + + @Override + public void importData(ImportDataRequest request, StreamObserver responseObserver) { + Object response = responses.remove(); + if (response instanceof Operation) { + requests.add(request); + responseObserver.onNext((Operation) response); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError((Exception) response); + } else { + responseObserver.onError(new IllegalArgumentException("Unrecognized response type")); + } + } + + @Override + public void exportData(ExportDataRequest request, StreamObserver responseObserver) { + Object response = responses.remove(); + if (response instanceof Operation) { + requests.add(request); + responseObserver.onNext((Operation) response); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError((Exception) response); + } else { + responseObserver.onError(new IllegalArgumentException("Unrecognized response type")); + } + } + + @Override + public void getAnnotationSpec( + GetAnnotationSpecRequest request, StreamObserver responseObserver) { + Object response = responses.remove(); + if (response instanceof AnnotationSpec) { + requests.add(request); + responseObserver.onNext((AnnotationSpec) response); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError((Exception) response); + } else { + responseObserver.onError(new IllegalArgumentException("Unrecognized response type")); + } + } + + @Override + public void getTableSpec( + GetTableSpecRequest request, StreamObserver responseObserver) { + Object response = responses.remove(); + if (response instanceof TableSpec) { + requests.add(request); + responseObserver.onNext((TableSpec) response); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError((Exception) response); + } else { + responseObserver.onError(new IllegalArgumentException("Unrecognized response type")); + } + } + + @Override + public void listTableSpecs( + ListTableSpecsRequest request, StreamObserver responseObserver) { + Object response = responses.remove(); + if (response instanceof ListTableSpecsResponse) { + requests.add(request); + responseObserver.onNext((ListTableSpecsResponse) response); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError((Exception) response); + } else { + responseObserver.onError(new IllegalArgumentException("Unrecognized response type")); + } + } + + @Override + public void updateTableSpec( + UpdateTableSpecRequest request, StreamObserver responseObserver) { + Object response = responses.remove(); + if (response instanceof TableSpec) { + requests.add(request); + responseObserver.onNext((TableSpec) response); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError((Exception) response); + } else { + responseObserver.onError(new IllegalArgumentException("Unrecognized response type")); + } + } + + @Override + public void getColumnSpec( + GetColumnSpecRequest request, StreamObserver responseObserver) { + Object response = responses.remove(); + if (response instanceof ColumnSpec) { + requests.add(request); + responseObserver.onNext((ColumnSpec) response); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError((Exception) response); + } else { + responseObserver.onError(new IllegalArgumentException("Unrecognized response type")); + } + } + + @Override + public void listColumnSpecs( + ListColumnSpecsRequest request, StreamObserver responseObserver) { + Object response = responses.remove(); + if (response instanceof ListColumnSpecsResponse) { + requests.add(request); + responseObserver.onNext((ListColumnSpecsResponse) response); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError((Exception) response); + } else { + responseObserver.onError(new IllegalArgumentException("Unrecognized response type")); + } + } + + @Override + public void updateColumnSpec( + UpdateColumnSpecRequest request, StreamObserver responseObserver) { + Object response = responses.remove(); + if (response instanceof ColumnSpec) { + requests.add(request); + responseObserver.onNext((ColumnSpec) response); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError((Exception) response); + } else { + responseObserver.onError(new IllegalArgumentException("Unrecognized response type")); + } + } + + @Override + public void createModel(CreateModelRequest request, StreamObserver responseObserver) { + Object response = responses.remove(); + if (response instanceof Operation) { + requests.add(request); + responseObserver.onNext((Operation) response); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError((Exception) response); + } else { + responseObserver.onError(new IllegalArgumentException("Unrecognized response type")); + } + } + + @Override + public void getModel(GetModelRequest request, StreamObserver responseObserver) { + Object response = responses.remove(); + if (response instanceof Model) { + requests.add(request); + responseObserver.onNext((Model) response); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError((Exception) response); + } else { + responseObserver.onError(new IllegalArgumentException("Unrecognized response type")); + } + } + + @Override + public void listModels( + ListModelsRequest request, StreamObserver responseObserver) { + Object response = responses.remove(); + if (response instanceof ListModelsResponse) { + requests.add(request); + responseObserver.onNext((ListModelsResponse) response); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError((Exception) response); + } else { + responseObserver.onError(new IllegalArgumentException("Unrecognized response type")); + } + } + + @Override + public void deleteModel(DeleteModelRequest request, StreamObserver responseObserver) { + Object response = responses.remove(); + if (response instanceof Operation) { + requests.add(request); + responseObserver.onNext((Operation) response); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError((Exception) response); + } else { + responseObserver.onError(new IllegalArgumentException("Unrecognized response type")); + } + } + + @Override + public void deployModel(DeployModelRequest request, StreamObserver responseObserver) { + Object response = responses.remove(); + if (response instanceof Operation) { + requests.add(request); + responseObserver.onNext((Operation) response); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError((Exception) response); + } else { + responseObserver.onError(new IllegalArgumentException("Unrecognized response type")); + } + } + + @Override + public void undeployModel( + UndeployModelRequest request, StreamObserver responseObserver) { + Object response = responses.remove(); + if (response instanceof Operation) { + requests.add(request); + responseObserver.onNext((Operation) response); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError((Exception) response); + } else { + responseObserver.onError(new IllegalArgumentException("Unrecognized response type")); + } + } + + @Override + public void exportModel(ExportModelRequest request, StreamObserver responseObserver) { + Object response = responses.remove(); + if (response instanceof Operation) { + requests.add(request); + responseObserver.onNext((Operation) response); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError((Exception) response); + } else { + responseObserver.onError(new IllegalArgumentException("Unrecognized response type")); + } + } + + @Override + public void exportEvaluatedExamples( + ExportEvaluatedExamplesRequest request, StreamObserver responseObserver) { + Object response = responses.remove(); + if (response instanceof Operation) { + requests.add(request); + responseObserver.onNext((Operation) response); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError((Exception) response); + } else { + responseObserver.onError(new IllegalArgumentException("Unrecognized response type")); + } + } + + @Override + public void getModelEvaluation( + GetModelEvaluationRequest request, StreamObserver responseObserver) { + Object response = responses.remove(); + if (response instanceof ModelEvaluation) { + requests.add(request); + responseObserver.onNext((ModelEvaluation) response); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError((Exception) response); + } else { + responseObserver.onError(new IllegalArgumentException("Unrecognized response type")); + } + } + + @Override + public void listModelEvaluations( + ListModelEvaluationsRequest request, + StreamObserver responseObserver) { + Object response = responses.remove(); + if (response instanceof ListModelEvaluationsResponse) { + requests.add(request); + responseObserver.onNext((ListModelEvaluationsResponse) response); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError((Exception) response); + } else { + responseObserver.onError(new IllegalArgumentException("Unrecognized response type")); + } + } +} diff --git a/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/MockPredictionService.java b/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/MockPredictionService.java new file mode 100644 index 000000000..ff6a92a87 --- /dev/null +++ b/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/MockPredictionService.java @@ -0,0 +1,57 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package com.google.cloud.automl.v1beta1; + +import com.google.api.core.BetaApi; +import com.google.api.gax.grpc.testing.MockGrpcService; +import com.google.protobuf.AbstractMessage; +import io.grpc.ServerServiceDefinition; +import java.util.List; + +@javax.annotation.Generated("by GAPIC") +@BetaApi +public class MockPredictionService implements MockGrpcService { + private final MockPredictionServiceImpl serviceImpl; + + public MockPredictionService() { + serviceImpl = new MockPredictionServiceImpl(); + } + + @Override + public List getRequests() { + return serviceImpl.getRequests(); + } + + @Override + public void addResponse(AbstractMessage response) { + serviceImpl.addResponse(response); + } + + @Override + public void addException(Exception exception) { + serviceImpl.addException(exception); + } + + @Override + public ServerServiceDefinition getServiceDefinition() { + return serviceImpl.bindService(); + } + + @Override + public void reset() { + serviceImpl.reset(); + } +} diff --git a/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/MockPredictionServiceImpl.java b/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/MockPredictionServiceImpl.java new file mode 100644 index 000000000..5e4be5b95 --- /dev/null +++ b/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/MockPredictionServiceImpl.java @@ -0,0 +1,88 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package com.google.cloud.automl.v1beta1; + +import com.google.api.core.BetaApi; +import com.google.cloud.automl.v1beta1.PredictionServiceGrpc.PredictionServiceImplBase; +import com.google.longrunning.Operation; +import com.google.protobuf.AbstractMessage; +import io.grpc.stub.StreamObserver; +import java.util.ArrayList; +import java.util.LinkedList; +import java.util.List; +import java.util.Queue; + +@javax.annotation.Generated("by GAPIC") +@BetaApi +public class MockPredictionServiceImpl extends PredictionServiceImplBase { + private List requests; + private Queue responses; + + public MockPredictionServiceImpl() { + requests = new ArrayList<>(); + responses = new LinkedList<>(); + } + + public List getRequests() { + return requests; + } + + public void addResponse(AbstractMessage response) { + responses.add(response); + } + + public void setResponses(List responses) { + this.responses = new LinkedList(responses); + } + + public void addException(Exception exception) { + responses.add(exception); + } + + public void reset() { + requests = new ArrayList<>(); + responses = new LinkedList<>(); + } + + @Override + public void predict(PredictRequest request, StreamObserver responseObserver) { + Object response = responses.remove(); + if (response instanceof PredictResponse) { + requests.add(request); + responseObserver.onNext((PredictResponse) response); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError((Exception) response); + } else { + responseObserver.onError(new IllegalArgumentException("Unrecognized response type")); + } + } + + @Override + public void batchPredict( + BatchPredictRequest request, StreamObserver responseObserver) { + Object response = responses.remove(); + if (response instanceof Operation) { + requests.add(request); + responseObserver.onNext((Operation) response); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError((Exception) response); + } else { + responseObserver.onError(new IllegalArgumentException("Unrecognized response type")); + } + } +} diff --git a/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/PredictionServiceClientTest.java b/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/PredictionServiceClientTest.java new file mode 100644 index 000000000..e073c7291 --- /dev/null +++ b/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/PredictionServiceClientTest.java @@ -0,0 +1,185 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package com.google.cloud.automl.v1beta1; + +import com.google.api.gax.core.NoCredentialsProvider; +import com.google.api.gax.grpc.GaxGrpcProperties; +import com.google.api.gax.grpc.testing.LocalChannelProvider; +import com.google.api.gax.grpc.testing.MockGrpcService; +import com.google.api.gax.grpc.testing.MockServiceHelper; +import com.google.api.gax.rpc.ApiClientHeaderProvider; +import com.google.api.gax.rpc.InvalidArgumentException; +import com.google.api.gax.rpc.StatusCode; +import com.google.longrunning.Operation; +import com.google.protobuf.AbstractMessage; +import com.google.protobuf.Any; +import io.grpc.Status; +import io.grpc.StatusRuntimeException; +import java.io.IOException; +import java.util.Arrays; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.UUID; +import java.util.concurrent.ExecutionException; +import org.junit.After; +import org.junit.AfterClass; +import org.junit.Assert; +import org.junit.Before; +import org.junit.BeforeClass; +import org.junit.Test; + +@javax.annotation.Generated("by GAPIC") +public class PredictionServiceClientTest { + private static MockPredictionService mockPredictionService; + private static MockAutoMl mockAutoMl; + private static MockServiceHelper serviceHelper; + private PredictionServiceClient client; + private LocalChannelProvider channelProvider; + + @BeforeClass + public static void startStaticServer() { + mockPredictionService = new MockPredictionService(); + mockAutoMl = new MockAutoMl(); + serviceHelper = + new MockServiceHelper( + UUID.randomUUID().toString(), + Arrays.asList(mockPredictionService, mockAutoMl)); + serviceHelper.start(); + } + + @AfterClass + public static void stopServer() { + serviceHelper.stop(); + } + + @Before + public void setUp() throws IOException { + serviceHelper.reset(); + channelProvider = serviceHelper.createChannelProvider(); + PredictionServiceSettings settings = + PredictionServiceSettings.newBuilder() + .setTransportChannelProvider(channelProvider) + .setCredentialsProvider(NoCredentialsProvider.create()) + .build(); + client = PredictionServiceClient.create(settings); + } + + @After + public void tearDown() throws Exception { + client.close(); + } + + @Test + @SuppressWarnings("all") + public void predictTest() { + PredictResponse expectedResponse = PredictResponse.newBuilder().build(); + mockPredictionService.addResponse(expectedResponse); + + ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]"); + ExamplePayload payload = ExamplePayload.newBuilder().build(); + Map params = new HashMap<>(); + + PredictResponse actualResponse = client.predict(name, payload, params); + Assert.assertEquals(expectedResponse, actualResponse); + + List actualRequests = mockPredictionService.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + PredictRequest actualRequest = (PredictRequest) actualRequests.get(0); + + Assert.assertEquals(name, ModelName.parse(actualRequest.getName())); + Assert.assertEquals(payload, actualRequest.getPayload()); + Assert.assertEquals(params, actualRequest.getParamsMap()); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + @SuppressWarnings("all") + public void predictExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT); + mockPredictionService.addException(exception); + + try { + ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]"); + ExamplePayload payload = ExamplePayload.newBuilder().build(); + Map params = new HashMap<>(); + + client.predict(name, payload, params); + Assert.fail("No exception raised"); + } catch (InvalidArgumentException e) { + // Expected exception + } + } + + @Test + @SuppressWarnings("all") + public void batchPredictTest() throws Exception { + BatchPredictResult expectedResponse = BatchPredictResult.newBuilder().build(); + Operation resultOperation = + Operation.newBuilder() + .setName("batchPredictTest") + .setDone(true) + .setResponse(Any.pack(expectedResponse)) + .build(); + mockPredictionService.addResponse(resultOperation); + + ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]"); + BatchPredictInputConfig inputConfig = BatchPredictInputConfig.newBuilder().build(); + BatchPredictOutputConfig outputConfig = BatchPredictOutputConfig.newBuilder().build(); + Map params = new HashMap<>(); + + BatchPredictResult actualResponse = + client.batchPredictAsync(name, inputConfig, outputConfig, params).get(); + Assert.assertEquals(expectedResponse, actualResponse); + + List actualRequests = mockPredictionService.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + BatchPredictRequest actualRequest = (BatchPredictRequest) actualRequests.get(0); + + Assert.assertEquals(name, ModelName.parse(actualRequest.getName())); + Assert.assertEquals(inputConfig, actualRequest.getInputConfig()); + Assert.assertEquals(outputConfig, actualRequest.getOutputConfig()); + Assert.assertEquals(params, actualRequest.getParamsMap()); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + @SuppressWarnings("all") + public void batchPredictExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT); + mockPredictionService.addException(exception); + + try { + ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]"); + BatchPredictInputConfig inputConfig = BatchPredictInputConfig.newBuilder().build(); + BatchPredictOutputConfig outputConfig = BatchPredictOutputConfig.newBuilder().build(); + Map params = new HashMap<>(); + + client.batchPredictAsync(name, inputConfig, outputConfig, params).get(); + Assert.fail("No exception raised"); + } catch (ExecutionException e) { + Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass()); + InvalidArgumentException apiException = (InvalidArgumentException) e.getCause(); + Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode()); + } + } +} diff --git a/grpc-google-cloud-automl-v1beta1/clirr-ignored-differences.xml b/grpc-google-cloud-automl-v1beta1/clirr-ignored-differences.xml new file mode 100644 index 000000000..03dba063e --- /dev/null +++ b/grpc-google-cloud-automl-v1beta1/clirr-ignored-differences.xml @@ -0,0 +1,10 @@ + + + + + + 6001 + com/google/cloud/automl/v1beta1/*Grpc + METHOD_* + + \ No newline at end of file diff --git a/grpc-google-cloud-automl-v1beta1/pom.xml b/grpc-google-cloud-automl-v1beta1/pom.xml new file mode 100644 index 000000000..a55337bef --- /dev/null +++ b/grpc-google-cloud-automl-v1beta1/pom.xml @@ -0,0 +1,60 @@ + + 4.0.0 + com.google.api.grpc + grpc-google-cloud-automl-v1beta1 + 0.82.3-SNAPSHOT + grpc-google-cloud-automl-v1beta1 + GRPC library for grpc-google-cloud-automl-v1beta1 + + com.google.cloud + google-cloud-automl-parent + 1.1.3-SNAPSHOT + + + + io.grpc + grpc-api + + + io.grpc + grpc-stub + + + io.grpc + grpc-protobuf + + + com.google.protobuf + protobuf-java + + + com.google.api.grpc + proto-google-common-protos + + + com.google.api.grpc + proto-google-cloud-automl-v1beta1 + + + com.google.guava + guava + + + + + + java9 + + [9,) + + + + javax.annotation + javax.annotation-api + + + + + \ No newline at end of file diff --git a/grpc-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AutoMlGrpc.java b/grpc-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AutoMlGrpc.java new file mode 100644 index 000000000..b3cd93eea --- /dev/null +++ b/grpc-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AutoMlGrpc.java @@ -0,0 +1,3194 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package com.google.cloud.automl.v1beta1; + +import static io.grpc.MethodDescriptor.generateFullMethodName; +import static io.grpc.stub.ClientCalls.asyncUnaryCall; +import static io.grpc.stub.ClientCalls.blockingUnaryCall; +import static io.grpc.stub.ClientCalls.futureUnaryCall; +import static io.grpc.stub.ServerCalls.asyncUnaryCall; +import static io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall; + +/** + * + * + * 
+ * AutoML Server API.
+ * The resource names are assigned by the server.
+ * The server never reuses names that it has created after the resources with
+ * those names are deleted.
+ * An ID of a resource is the last element of the item's resource name. For
+ * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`, then
+ * the id for the item is `{dataset_id}`.
+ * Currently the only supported `location_id` is "us-central1".
+ * On any input that is documented to expect a string parameter in
+ * snake_case or kebab-case, either of those cases is accepted.
+ *
+ */ +@javax.annotation.Generated( + value = "by gRPC proto compiler", + comments = "Source: google/cloud/automl/v1beta1/service.proto") +public final class AutoMlGrpc { + + private AutoMlGrpc() {} + + public static final String SERVICE_NAME = "google.cloud.automl.v1beta1.AutoMl"; + + // Static method descriptors that strictly reflect the proto. + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.CreateDatasetRequest, + com.google.cloud.automl.v1beta1.Dataset> + getCreateDatasetMethod; + + @io.grpc.stub.annotations.RpcMethod( + fullMethodName = SERVICE_NAME + '/' + "CreateDataset", + requestType = com.google.cloud.automl.v1beta1.CreateDatasetRequest.class, + responseType = com.google.cloud.automl.v1beta1.Dataset.class, + methodType = io.grpc.MethodDescriptor.MethodType.UNARY) + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.CreateDatasetRequest, + com.google.cloud.automl.v1beta1.Dataset> + getCreateDatasetMethod() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.CreateDatasetRequest, + com.google.cloud.automl.v1beta1.Dataset> + getCreateDatasetMethod; + if ((getCreateDatasetMethod = AutoMlGrpc.getCreateDatasetMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getCreateDatasetMethod = AutoMlGrpc.getCreateDatasetMethod) == null) { + AutoMlGrpc.getCreateDatasetMethod = + getCreateDatasetMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName(generateFullMethodName(SERVICE_NAME, "CreateDataset")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.CreateDatasetRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.Dataset.getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("CreateDataset")) + .build(); + } + } + } + return getCreateDatasetMethod; + } + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetDatasetRequest, + com.google.cloud.automl.v1beta1.Dataset> + getGetDatasetMethod; + + @io.grpc.stub.annotations.RpcMethod( + fullMethodName = SERVICE_NAME + '/' + "GetDataset", + requestType = com.google.cloud.automl.v1beta1.GetDatasetRequest.class, + responseType = com.google.cloud.automl.v1beta1.Dataset.class, + methodType = io.grpc.MethodDescriptor.MethodType.UNARY) + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetDatasetRequest, + com.google.cloud.automl.v1beta1.Dataset> + getGetDatasetMethod() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetDatasetRequest, + com.google.cloud.automl.v1beta1.Dataset> + getGetDatasetMethod; + if ((getGetDatasetMethod = AutoMlGrpc.getGetDatasetMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getGetDatasetMethod = AutoMlGrpc.getGetDatasetMethod) == null) { + AutoMlGrpc.getGetDatasetMethod = + getGetDatasetMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName(generateFullMethodName(SERVICE_NAME, "GetDataset")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.GetDatasetRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.Dataset.getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("GetDataset")) + .build(); + } + } + } + return getGetDatasetMethod; + } + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ListDatasetsRequest, + com.google.cloud.automl.v1beta1.ListDatasetsResponse> + getListDatasetsMethod; + + @io.grpc.stub.annotations.RpcMethod( + fullMethodName = SERVICE_NAME + '/' + "ListDatasets", + requestType = com.google.cloud.automl.v1beta1.ListDatasetsRequest.class, + responseType = com.google.cloud.automl.v1beta1.ListDatasetsResponse.class, + methodType = io.grpc.MethodDescriptor.MethodType.UNARY) + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ListDatasetsRequest, + com.google.cloud.automl.v1beta1.ListDatasetsResponse> + getListDatasetsMethod() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ListDatasetsRequest, + com.google.cloud.automl.v1beta1.ListDatasetsResponse> + getListDatasetsMethod; + if ((getListDatasetsMethod = AutoMlGrpc.getListDatasetsMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getListDatasetsMethod = AutoMlGrpc.getListDatasetsMethod) == null) { + AutoMlGrpc.getListDatasetsMethod = + getListDatasetsMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName(generateFullMethodName(SERVICE_NAME, "ListDatasets")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.ListDatasetsRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.ListDatasetsResponse + .getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("ListDatasets")) + .build(); + } + } + } + return getListDatasetsMethod; + } + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UpdateDatasetRequest, + com.google.cloud.automl.v1beta1.Dataset> + getUpdateDatasetMethod; + + @io.grpc.stub.annotations.RpcMethod( + fullMethodName = SERVICE_NAME + '/' + "UpdateDataset", + requestType = com.google.cloud.automl.v1beta1.UpdateDatasetRequest.class, + responseType = com.google.cloud.automl.v1beta1.Dataset.class, + methodType = io.grpc.MethodDescriptor.MethodType.UNARY) + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UpdateDatasetRequest, + com.google.cloud.automl.v1beta1.Dataset> + getUpdateDatasetMethod() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UpdateDatasetRequest, + com.google.cloud.automl.v1beta1.Dataset> + getUpdateDatasetMethod; + if ((getUpdateDatasetMethod = AutoMlGrpc.getUpdateDatasetMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getUpdateDatasetMethod = AutoMlGrpc.getUpdateDatasetMethod) == null) { + AutoMlGrpc.getUpdateDatasetMethod = + getUpdateDatasetMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName(generateFullMethodName(SERVICE_NAME, "UpdateDataset")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.UpdateDatasetRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.Dataset.getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("UpdateDataset")) + .build(); + } + } + } + return getUpdateDatasetMethod; + } + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.DeleteDatasetRequest, com.google.longrunning.Operation> + getDeleteDatasetMethod; + + @io.grpc.stub.annotations.RpcMethod( + fullMethodName = SERVICE_NAME + '/' + "DeleteDataset", + requestType = com.google.cloud.automl.v1beta1.DeleteDatasetRequest.class, + responseType = com.google.longrunning.Operation.class, + methodType = io.grpc.MethodDescriptor.MethodType.UNARY) + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.DeleteDatasetRequest, com.google.longrunning.Operation> + getDeleteDatasetMethod() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.DeleteDatasetRequest, com.google.longrunning.Operation> + getDeleteDatasetMethod; + if ((getDeleteDatasetMethod = AutoMlGrpc.getDeleteDatasetMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getDeleteDatasetMethod = AutoMlGrpc.getDeleteDatasetMethod) == null) { + AutoMlGrpc.getDeleteDatasetMethod = + getDeleteDatasetMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName(generateFullMethodName(SERVICE_NAME, "DeleteDataset")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.DeleteDatasetRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.longrunning.Operation.getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("DeleteDataset")) + .build(); + } + } + } + return getDeleteDatasetMethod; + } + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ImportDataRequest, com.google.longrunning.Operation> + getImportDataMethod; + + @io.grpc.stub.annotations.RpcMethod( + fullMethodName = SERVICE_NAME + '/' + "ImportData", + requestType = com.google.cloud.automl.v1beta1.ImportDataRequest.class, + responseType = com.google.longrunning.Operation.class, + methodType = io.grpc.MethodDescriptor.MethodType.UNARY) + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ImportDataRequest, com.google.longrunning.Operation> + getImportDataMethod() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ImportDataRequest, com.google.longrunning.Operation> + getImportDataMethod; + if ((getImportDataMethod = AutoMlGrpc.getImportDataMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getImportDataMethod = AutoMlGrpc.getImportDataMethod) == null) { + AutoMlGrpc.getImportDataMethod = + getImportDataMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName(generateFullMethodName(SERVICE_NAME, "ImportData")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.ImportDataRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.longrunning.Operation.getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("ImportData")) + .build(); + } + } + } + return getImportDataMethod; + } + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ExportDataRequest, com.google.longrunning.Operation> + getExportDataMethod; + + @io.grpc.stub.annotations.RpcMethod( + fullMethodName = SERVICE_NAME + '/' + "ExportData", + requestType = com.google.cloud.automl.v1beta1.ExportDataRequest.class, + responseType = com.google.longrunning.Operation.class, + methodType = io.grpc.MethodDescriptor.MethodType.UNARY) + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ExportDataRequest, com.google.longrunning.Operation> + getExportDataMethod() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ExportDataRequest, com.google.longrunning.Operation> + getExportDataMethod; + if ((getExportDataMethod = AutoMlGrpc.getExportDataMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getExportDataMethod = AutoMlGrpc.getExportDataMethod) == null) { + AutoMlGrpc.getExportDataMethod = + getExportDataMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName(generateFullMethodName(SERVICE_NAME, "ExportData")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.ExportDataRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.longrunning.Operation.getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("ExportData")) + .build(); + } + } + } + return getExportDataMethod; + } + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest, + com.google.cloud.automl.v1beta1.AnnotationSpec> + getGetAnnotationSpecMethod; + + @io.grpc.stub.annotations.RpcMethod( + fullMethodName = SERVICE_NAME + '/' + "GetAnnotationSpec", + requestType = com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest.class, + responseType = com.google.cloud.automl.v1beta1.AnnotationSpec.class, + methodType = io.grpc.MethodDescriptor.MethodType.UNARY) + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest, + com.google.cloud.automl.v1beta1.AnnotationSpec> + getGetAnnotationSpecMethod() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest, + com.google.cloud.automl.v1beta1.AnnotationSpec> + getGetAnnotationSpecMethod; + if ((getGetAnnotationSpecMethod = AutoMlGrpc.getGetAnnotationSpecMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getGetAnnotationSpecMethod = AutoMlGrpc.getGetAnnotationSpecMethod) == null) { + AutoMlGrpc.getGetAnnotationSpecMethod = + getGetAnnotationSpecMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName(generateFullMethodName(SERVICE_NAME, "GetAnnotationSpec")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.AnnotationSpec.getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("GetAnnotationSpec")) + .build(); + } + } + } + return getGetAnnotationSpecMethod; + } + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetTableSpecRequest, + com.google.cloud.automl.v1beta1.TableSpec> + getGetTableSpecMethod; + + @io.grpc.stub.annotations.RpcMethod( + fullMethodName = SERVICE_NAME + '/' + "GetTableSpec", + requestType = com.google.cloud.automl.v1beta1.GetTableSpecRequest.class, + responseType = com.google.cloud.automl.v1beta1.TableSpec.class, + methodType = io.grpc.MethodDescriptor.MethodType.UNARY) + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetTableSpecRequest, + com.google.cloud.automl.v1beta1.TableSpec> + getGetTableSpecMethod() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetTableSpecRequest, + com.google.cloud.automl.v1beta1.TableSpec> + getGetTableSpecMethod; + if ((getGetTableSpecMethod = AutoMlGrpc.getGetTableSpecMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getGetTableSpecMethod = AutoMlGrpc.getGetTableSpecMethod) == null) { + AutoMlGrpc.getGetTableSpecMethod = + getGetTableSpecMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName(generateFullMethodName(SERVICE_NAME, "GetTableSpec")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.GetTableSpecRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.TableSpec.getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("GetTableSpec")) + .build(); + } + } + } + return getGetTableSpecMethod; + } + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ListTableSpecsRequest, + com.google.cloud.automl.v1beta1.ListTableSpecsResponse> + getListTableSpecsMethod; + + @io.grpc.stub.annotations.RpcMethod( + fullMethodName = SERVICE_NAME + '/' + "ListTableSpecs", + requestType = com.google.cloud.automl.v1beta1.ListTableSpecsRequest.class, + responseType = com.google.cloud.automl.v1beta1.ListTableSpecsResponse.class, + methodType = io.grpc.MethodDescriptor.MethodType.UNARY) + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ListTableSpecsRequest, + com.google.cloud.automl.v1beta1.ListTableSpecsResponse> + getListTableSpecsMethod() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ListTableSpecsRequest, + com.google.cloud.automl.v1beta1.ListTableSpecsResponse> + getListTableSpecsMethod; + if ((getListTableSpecsMethod = AutoMlGrpc.getListTableSpecsMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getListTableSpecsMethod = AutoMlGrpc.getListTableSpecsMethod) == null) { + AutoMlGrpc.getListTableSpecsMethod = + getListTableSpecsMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName(generateFullMethodName(SERVICE_NAME, "ListTableSpecs")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.ListTableSpecsRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.ListTableSpecsResponse + .getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("ListTableSpecs")) + .build(); + } + } + } + return getListTableSpecsMethod; + } + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest, + com.google.cloud.automl.v1beta1.TableSpec> + getUpdateTableSpecMethod; + + @io.grpc.stub.annotations.RpcMethod( + fullMethodName = SERVICE_NAME + '/' + "UpdateTableSpec", + requestType = com.google.cloud.automl.v1beta1.UpdateTableSpecRequest.class, + responseType = com.google.cloud.automl.v1beta1.TableSpec.class, + methodType = io.grpc.MethodDescriptor.MethodType.UNARY) + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest, + com.google.cloud.automl.v1beta1.TableSpec> + getUpdateTableSpecMethod() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest, + com.google.cloud.automl.v1beta1.TableSpec> + getUpdateTableSpecMethod; + if ((getUpdateTableSpecMethod = AutoMlGrpc.getUpdateTableSpecMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getUpdateTableSpecMethod = AutoMlGrpc.getUpdateTableSpecMethod) == null) { + AutoMlGrpc.getUpdateTableSpecMethod = + getUpdateTableSpecMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName(generateFullMethodName(SERVICE_NAME, "UpdateTableSpec")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.TableSpec.getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("UpdateTableSpec")) + .build(); + } + } + } + return getUpdateTableSpecMethod; + } + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetColumnSpecRequest, + com.google.cloud.automl.v1beta1.ColumnSpec> + getGetColumnSpecMethod; + + @io.grpc.stub.annotations.RpcMethod( + fullMethodName = SERVICE_NAME + '/' + "GetColumnSpec", + requestType = com.google.cloud.automl.v1beta1.GetColumnSpecRequest.class, + responseType = com.google.cloud.automl.v1beta1.ColumnSpec.class, + methodType = io.grpc.MethodDescriptor.MethodType.UNARY) + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetColumnSpecRequest, + com.google.cloud.automl.v1beta1.ColumnSpec> + getGetColumnSpecMethod() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetColumnSpecRequest, + com.google.cloud.automl.v1beta1.ColumnSpec> + getGetColumnSpecMethod; + if ((getGetColumnSpecMethod = AutoMlGrpc.getGetColumnSpecMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getGetColumnSpecMethod = AutoMlGrpc.getGetColumnSpecMethod) == null) { + AutoMlGrpc.getGetColumnSpecMethod = + getGetColumnSpecMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName(generateFullMethodName(SERVICE_NAME, "GetColumnSpec")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.GetColumnSpecRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("GetColumnSpec")) + .build(); + } + } + } + return getGetColumnSpecMethod; + } + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ListColumnSpecsRequest, + com.google.cloud.automl.v1beta1.ListColumnSpecsResponse> + getListColumnSpecsMethod; + + @io.grpc.stub.annotations.RpcMethod( + fullMethodName = SERVICE_NAME + '/' + "ListColumnSpecs", + requestType = com.google.cloud.automl.v1beta1.ListColumnSpecsRequest.class, + responseType = com.google.cloud.automl.v1beta1.ListColumnSpecsResponse.class, + methodType = io.grpc.MethodDescriptor.MethodType.UNARY) + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ListColumnSpecsRequest, + com.google.cloud.automl.v1beta1.ListColumnSpecsResponse> + getListColumnSpecsMethod() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ListColumnSpecsRequest, + com.google.cloud.automl.v1beta1.ListColumnSpecsResponse> + getListColumnSpecsMethod; + if ((getListColumnSpecsMethod = AutoMlGrpc.getListColumnSpecsMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getListColumnSpecsMethod = AutoMlGrpc.getListColumnSpecsMethod) == null) { + AutoMlGrpc.getListColumnSpecsMethod = + getListColumnSpecsMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName(generateFullMethodName(SERVICE_NAME, "ListColumnSpecs")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.ListColumnSpecsRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.ListColumnSpecsResponse + .getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("ListColumnSpecs")) + .build(); + } + } + } + return getListColumnSpecsMethod; + } + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest, + com.google.cloud.automl.v1beta1.ColumnSpec> + getUpdateColumnSpecMethod; + + @io.grpc.stub.annotations.RpcMethod( + fullMethodName = SERVICE_NAME + '/' + "UpdateColumnSpec", + requestType = com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest.class, + responseType = com.google.cloud.automl.v1beta1.ColumnSpec.class, + methodType = io.grpc.MethodDescriptor.MethodType.UNARY) + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest, + com.google.cloud.automl.v1beta1.ColumnSpec> + getUpdateColumnSpecMethod() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest, + com.google.cloud.automl.v1beta1.ColumnSpec> + getUpdateColumnSpecMethod; + if ((getUpdateColumnSpecMethod = AutoMlGrpc.getUpdateColumnSpecMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getUpdateColumnSpecMethod = AutoMlGrpc.getUpdateColumnSpecMethod) == null) { + AutoMlGrpc.getUpdateColumnSpecMethod = + getUpdateColumnSpecMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName(generateFullMethodName(SERVICE_NAME, "UpdateColumnSpec")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("UpdateColumnSpec")) + .build(); + } + } + } + return getUpdateColumnSpecMethod; + } + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.CreateModelRequest, com.google.longrunning.Operation> + getCreateModelMethod; + + @io.grpc.stub.annotations.RpcMethod( + fullMethodName = SERVICE_NAME + '/' + "CreateModel", + requestType = com.google.cloud.automl.v1beta1.CreateModelRequest.class, + responseType = com.google.longrunning.Operation.class, + methodType = io.grpc.MethodDescriptor.MethodType.UNARY) + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.CreateModelRequest, com.google.longrunning.Operation> + getCreateModelMethod() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.CreateModelRequest, com.google.longrunning.Operation> + getCreateModelMethod; + if ((getCreateModelMethod = AutoMlGrpc.getCreateModelMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getCreateModelMethod = AutoMlGrpc.getCreateModelMethod) == null) { + AutoMlGrpc.getCreateModelMethod = + getCreateModelMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName(generateFullMethodName(SERVICE_NAME, "CreateModel")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.CreateModelRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.longrunning.Operation.getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("CreateModel")) + .build(); + } + } + } + return getCreateModelMethod; + } + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetModelRequest, com.google.cloud.automl.v1beta1.Model> + getGetModelMethod; + + @io.grpc.stub.annotations.RpcMethod( + fullMethodName = SERVICE_NAME + '/' + "GetModel", + requestType = com.google.cloud.automl.v1beta1.GetModelRequest.class, + responseType = com.google.cloud.automl.v1beta1.Model.class, + methodType = io.grpc.MethodDescriptor.MethodType.UNARY) + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetModelRequest, com.google.cloud.automl.v1beta1.Model> + getGetModelMethod() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetModelRequest, com.google.cloud.automl.v1beta1.Model> + getGetModelMethod; + if ((getGetModelMethod = AutoMlGrpc.getGetModelMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getGetModelMethod = AutoMlGrpc.getGetModelMethod) == null) { + AutoMlGrpc.getGetModelMethod = + getGetModelMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName(generateFullMethodName(SERVICE_NAME, "GetModel")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.GetModelRequest.getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.Model.getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("GetModel")) + .build(); + } + } + } + return getGetModelMethod; + } + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ListModelsRequest, + com.google.cloud.automl.v1beta1.ListModelsResponse> + getListModelsMethod; + + @io.grpc.stub.annotations.RpcMethod( + fullMethodName = SERVICE_NAME + '/' + "ListModels", + requestType = com.google.cloud.automl.v1beta1.ListModelsRequest.class, + responseType = com.google.cloud.automl.v1beta1.ListModelsResponse.class, + methodType = io.grpc.MethodDescriptor.MethodType.UNARY) + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ListModelsRequest, + com.google.cloud.automl.v1beta1.ListModelsResponse> + getListModelsMethod() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ListModelsRequest, + com.google.cloud.automl.v1beta1.ListModelsResponse> + getListModelsMethod; + if ((getListModelsMethod = AutoMlGrpc.getListModelsMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getListModelsMethod = AutoMlGrpc.getListModelsMethod) == null) { + AutoMlGrpc.getListModelsMethod = + getListModelsMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName(generateFullMethodName(SERVICE_NAME, "ListModels")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.ListModelsRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.ListModelsResponse + .getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("ListModels")) + .build(); + } + } + } + return getListModelsMethod; + } + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.DeleteModelRequest, com.google.longrunning.Operation> + getDeleteModelMethod; + + @io.grpc.stub.annotations.RpcMethod( + fullMethodName = SERVICE_NAME + '/' + "DeleteModel", + requestType = com.google.cloud.automl.v1beta1.DeleteModelRequest.class, + responseType = com.google.longrunning.Operation.class, + methodType = io.grpc.MethodDescriptor.MethodType.UNARY) + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.DeleteModelRequest, com.google.longrunning.Operation> + getDeleteModelMethod() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.DeleteModelRequest, com.google.longrunning.Operation> + getDeleteModelMethod; + if ((getDeleteModelMethod = AutoMlGrpc.getDeleteModelMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getDeleteModelMethod = AutoMlGrpc.getDeleteModelMethod) == null) { + AutoMlGrpc.getDeleteModelMethod = + getDeleteModelMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName(generateFullMethodName(SERVICE_NAME, "DeleteModel")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.DeleteModelRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.longrunning.Operation.getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("DeleteModel")) + .build(); + } + } + } + return getDeleteModelMethod; + } + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.DeployModelRequest, com.google.longrunning.Operation> + getDeployModelMethod; + + @io.grpc.stub.annotations.RpcMethod( + fullMethodName = SERVICE_NAME + '/' + "DeployModel", + requestType = com.google.cloud.automl.v1beta1.DeployModelRequest.class, + responseType = com.google.longrunning.Operation.class, + methodType = io.grpc.MethodDescriptor.MethodType.UNARY) + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.DeployModelRequest, com.google.longrunning.Operation> + getDeployModelMethod() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.DeployModelRequest, com.google.longrunning.Operation> + getDeployModelMethod; + if ((getDeployModelMethod = AutoMlGrpc.getDeployModelMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getDeployModelMethod = AutoMlGrpc.getDeployModelMethod) == null) { + AutoMlGrpc.getDeployModelMethod = + getDeployModelMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName(generateFullMethodName(SERVICE_NAME, "DeployModel")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.DeployModelRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.longrunning.Operation.getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("DeployModel")) + .build(); + } + } + } + return getDeployModelMethod; + } + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UndeployModelRequest, com.google.longrunning.Operation> + getUndeployModelMethod; + + @io.grpc.stub.annotations.RpcMethod( + fullMethodName = SERVICE_NAME + '/' + "UndeployModel", + requestType = com.google.cloud.automl.v1beta1.UndeployModelRequest.class, + responseType = com.google.longrunning.Operation.class, + methodType = io.grpc.MethodDescriptor.MethodType.UNARY) + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UndeployModelRequest, com.google.longrunning.Operation> + getUndeployModelMethod() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UndeployModelRequest, com.google.longrunning.Operation> + getUndeployModelMethod; + if ((getUndeployModelMethod = AutoMlGrpc.getUndeployModelMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getUndeployModelMethod = AutoMlGrpc.getUndeployModelMethod) == null) { + AutoMlGrpc.getUndeployModelMethod = + getUndeployModelMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName(generateFullMethodName(SERVICE_NAME, "UndeployModel")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.UndeployModelRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.longrunning.Operation.getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("UndeployModel")) + .build(); + } + } + } + return getUndeployModelMethod; + } + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ExportModelRequest, com.google.longrunning.Operation> + getExportModelMethod; + + @io.grpc.stub.annotations.RpcMethod( + fullMethodName = SERVICE_NAME + '/' + "ExportModel", + requestType = com.google.cloud.automl.v1beta1.ExportModelRequest.class, + responseType = com.google.longrunning.Operation.class, + methodType = io.grpc.MethodDescriptor.MethodType.UNARY) + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ExportModelRequest, com.google.longrunning.Operation> + getExportModelMethod() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ExportModelRequest, com.google.longrunning.Operation> + getExportModelMethod; + if ((getExportModelMethod = AutoMlGrpc.getExportModelMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getExportModelMethod = AutoMlGrpc.getExportModelMethod) == null) { + AutoMlGrpc.getExportModelMethod = + getExportModelMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName(generateFullMethodName(SERVICE_NAME, "ExportModel")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.ExportModelRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.longrunning.Operation.getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("ExportModel")) + .build(); + } + } + } + return getExportModelMethod; + } + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest, + com.google.longrunning.Operation> + getExportEvaluatedExamplesMethod; + + @io.grpc.stub.annotations.RpcMethod( + fullMethodName = SERVICE_NAME + '/' + "ExportEvaluatedExamples", + requestType = com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest.class, + responseType = com.google.longrunning.Operation.class, + methodType = io.grpc.MethodDescriptor.MethodType.UNARY) + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest, + com.google.longrunning.Operation> + getExportEvaluatedExamplesMethod() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest, + com.google.longrunning.Operation> + getExportEvaluatedExamplesMethod; + if ((getExportEvaluatedExamplesMethod = AutoMlGrpc.getExportEvaluatedExamplesMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getExportEvaluatedExamplesMethod = AutoMlGrpc.getExportEvaluatedExamplesMethod) + == null) { + AutoMlGrpc.getExportEvaluatedExamplesMethod = + getExportEvaluatedExamplesMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName( + generateFullMethodName(SERVICE_NAME, "ExportEvaluatedExamples")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.longrunning.Operation.getDefaultInstance())) + .setSchemaDescriptor( + new AutoMlMethodDescriptorSupplier("ExportEvaluatedExamples")) + .build(); + } + } + } + return getExportEvaluatedExamplesMethod; + } + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetModelEvaluationRequest, + com.google.cloud.automl.v1beta1.ModelEvaluation> + getGetModelEvaluationMethod; + + @io.grpc.stub.annotations.RpcMethod( + fullMethodName = SERVICE_NAME + '/' + "GetModelEvaluation", + requestType = com.google.cloud.automl.v1beta1.GetModelEvaluationRequest.class, + responseType = com.google.cloud.automl.v1beta1.ModelEvaluation.class, + methodType = io.grpc.MethodDescriptor.MethodType.UNARY) + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetModelEvaluationRequest, + com.google.cloud.automl.v1beta1.ModelEvaluation> + getGetModelEvaluationMethod() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetModelEvaluationRequest, + com.google.cloud.automl.v1beta1.ModelEvaluation> + getGetModelEvaluationMethod; + if ((getGetModelEvaluationMethod = AutoMlGrpc.getGetModelEvaluationMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getGetModelEvaluationMethod = AutoMlGrpc.getGetModelEvaluationMethod) == null) { + AutoMlGrpc.getGetModelEvaluationMethod = + getGetModelEvaluationMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName(generateFullMethodName(SERVICE_NAME, "GetModelEvaluation")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.GetModelEvaluationRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.ModelEvaluation.getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("GetModelEvaluation")) + .build(); + } + } + } + return getGetModelEvaluationMethod; + } + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest, + com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse> + getListModelEvaluationsMethod; + + @io.grpc.stub.annotations.RpcMethod( + fullMethodName = SERVICE_NAME + '/' + "ListModelEvaluations", + requestType = com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest.class, + responseType = com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse.class, + methodType = io.grpc.MethodDescriptor.MethodType.UNARY) + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest, + com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse> + getListModelEvaluationsMethod() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest, + com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse> + getListModelEvaluationsMethod; + if ((getListModelEvaluationsMethod = AutoMlGrpc.getListModelEvaluationsMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getListModelEvaluationsMethod = AutoMlGrpc.getListModelEvaluationsMethod) == null) { + AutoMlGrpc.getListModelEvaluationsMethod = + getListModelEvaluationsMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName( + generateFullMethodName(SERVICE_NAME, "ListModelEvaluations")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse + .getDefaultInstance())) + .setSchemaDescriptor( + new AutoMlMethodDescriptorSupplier("ListModelEvaluations")) + .build(); + } + } + } + return getListModelEvaluationsMethod; + } + + /** Creates a new async stub that supports all call types for the service */ + public static AutoMlStub newStub(io.grpc.Channel channel) { + io.grpc.stub.AbstractStub.StubFactory factory = + new io.grpc.stub.AbstractStub.StubFactory() { + @java.lang.Override + public AutoMlStub newStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) { + return new AutoMlStub(channel, callOptions); + } + }; + return AutoMlStub.newStub(factory, channel); + } + + /** + * Creates a new blocking-style stub that supports unary and streaming output calls on the service + */ + public static AutoMlBlockingStub newBlockingStub(io.grpc.Channel channel) { + io.grpc.stub.AbstractStub.StubFactory factory = + new io.grpc.stub.AbstractStub.StubFactory() { + @java.lang.Override + public AutoMlBlockingStub newStub( + io.grpc.Channel channel, io.grpc.CallOptions callOptions) { + return new AutoMlBlockingStub(channel, callOptions); + } + }; + return AutoMlBlockingStub.newStub(factory, channel); + } + + /** Creates a new ListenableFuture-style stub that supports unary calls on the service */ + public static AutoMlFutureStub newFutureStub(io.grpc.Channel channel) { + io.grpc.stub.AbstractStub.StubFactory factory = + new io.grpc.stub.AbstractStub.StubFactory() { + @java.lang.Override + public AutoMlFutureStub newStub( + io.grpc.Channel channel, io.grpc.CallOptions callOptions) { + return new AutoMlFutureStub(channel, callOptions); + } + }; + return AutoMlFutureStub.newStub(factory, channel); + } + + /** + * + * + * 
+   * AutoML Server API.
+   * The resource names are assigned by the server.
+   * The server never reuses names that it has created after the resources with
+   * those names are deleted.
+   * An ID of a resource is the last element of the item's resource name. For
+   * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`, then
+   * the id for the item is `{dataset_id}`.
+   * Currently the only supported `location_id` is "us-central1".
+   * On any input that is documented to expect a string parameter in
+   * snake_case or kebab-case, either of those cases is accepted.
+   *
+ */ + public abstract static class AutoMlImplBase implements io.grpc.BindableService { + + /** + * + * + * 
+     * Creates a dataset.
+     *
+ */ + public void createDataset( + com.google.cloud.automl.v1beta1.CreateDatasetRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnimplementedUnaryCall(getCreateDatasetMethod(), responseObserver); + } + + /** + * + * + * 
+     * Gets a dataset.
+     *
+ */ + public void getDataset( + com.google.cloud.automl.v1beta1.GetDatasetRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnimplementedUnaryCall(getGetDatasetMethod(), responseObserver); + } + + /** + * + * + * 
+     * Lists datasets in a project.
+     *
+ */ + public void listDatasets( + com.google.cloud.automl.v1beta1.ListDatasetsRequest request, + io.grpc.stub.StreamObserver + responseObserver) { + asyncUnimplementedUnaryCall(getListDatasetsMethod(), responseObserver); + } + + /** + * + * + * 
+     * Updates a dataset.
+     *
+ */ + public void updateDataset( + com.google.cloud.automl.v1beta1.UpdateDatasetRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnimplementedUnaryCall(getUpdateDatasetMethod(), responseObserver); + } + + /** + * + * + * 
+     * Deletes a dataset and all of its contents.
+     * Returns empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes,
+     * and `delete_details` in the
+     * [metadata][google.longrunning.Operation.metadata] field.
+     *
+ */ + public void deleteDataset( + com.google.cloud.automl.v1beta1.DeleteDatasetRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnimplementedUnaryCall(getDeleteDatasetMethod(), responseObserver); + } + + /** + * + * + * 
+     * Imports data into a dataset.
+     * For Tables this method can only be called on an empty Dataset.
+     * For Tables:
+     * *   A
+     * [schema_inference_version][google.cloud.automl.v1beta1.InputConfig.params]
+     *     parameter must be explicitly set.
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     *
+ */ + public void importData( + com.google.cloud.automl.v1beta1.ImportDataRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnimplementedUnaryCall(getImportDataMethod(), responseObserver); + } + + /** + * + * + * 
+     * Exports dataset's data to the provided output location.
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     *
+ */ + public void exportData( + com.google.cloud.automl.v1beta1.ExportDataRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnimplementedUnaryCall(getExportDataMethod(), responseObserver); + } + + /** + * + * + * 
+     * Gets an annotation spec.
+     *
+ */ + public void getAnnotationSpec( + com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest request, + io.grpc.stub.StreamObserver + responseObserver) { + asyncUnimplementedUnaryCall(getGetAnnotationSpecMethod(), responseObserver); + } + + /** + * + * + * 
+     * Gets a table spec.
+     *
+ */ + public void getTableSpec( + com.google.cloud.automl.v1beta1.GetTableSpecRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnimplementedUnaryCall(getGetTableSpecMethod(), responseObserver); + } + + /** + * + * + * 
+     * Lists table specs in a dataset.
+     *
+ */ + public void listTableSpecs( + com.google.cloud.automl.v1beta1.ListTableSpecsRequest request, + io.grpc.stub.StreamObserver + responseObserver) { + asyncUnimplementedUnaryCall(getListTableSpecsMethod(), responseObserver); + } + + /** + * + * + * 
+     * Updates a table spec.
+     *
+ */ + public void updateTableSpec( + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnimplementedUnaryCall(getUpdateTableSpecMethod(), responseObserver); + } + + /** + * + * + * 
+     * Gets a column spec.
+     *
+ */ + public void getColumnSpec( + com.google.cloud.automl.v1beta1.GetColumnSpecRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnimplementedUnaryCall(getGetColumnSpecMethod(), responseObserver); + } + + /** + * + * + * 
+     * Lists column specs in a table spec.
+     *
+ */ + public void listColumnSpecs( + com.google.cloud.automl.v1beta1.ListColumnSpecsRequest request, + io.grpc.stub.StreamObserver + responseObserver) { + asyncUnimplementedUnaryCall(getListColumnSpecsMethod(), responseObserver); + } + + /** + * + * + * 
+     * Updates a column spec.
+     *
+ */ + public void updateColumnSpec( + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnimplementedUnaryCall(getUpdateColumnSpecMethod(), responseObserver); + } + + /** + * + * + * 
+     * Creates a model.
+     * Returns a Model in the [response][google.longrunning.Operation.response]
+     * field when it completes.
+     * When you create a model, several model evaluations are created for it:
+     * a global evaluation, and one evaluation for each annotation spec.
+     *
+ */ + public void createModel( + com.google.cloud.automl.v1beta1.CreateModelRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnimplementedUnaryCall(getCreateModelMethod(), responseObserver); + } + + /** + * + * + * 
+     * Gets a model.
+     *
+ */ + public void getModel( + com.google.cloud.automl.v1beta1.GetModelRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnimplementedUnaryCall(getGetModelMethod(), responseObserver); + } + + /** + * + * + * 
+     * Lists models.
+     *
+ */ + public void listModels( + com.google.cloud.automl.v1beta1.ListModelsRequest request, + io.grpc.stub.StreamObserver + responseObserver) { + asyncUnimplementedUnaryCall(getListModelsMethod(), responseObserver); + } + + /** + * + * + * 
+     * Deletes a model.
+     * Returns `google.protobuf.Empty` in the
+     * [response][google.longrunning.Operation.response] field when it completes,
+     * and `delete_details` in the
+     * [metadata][google.longrunning.Operation.metadata] field.
+     *
+ */ + public void deleteModel( + com.google.cloud.automl.v1beta1.DeleteModelRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnimplementedUnaryCall(getDeleteModelMethod(), responseObserver); + } + + /** + * + * + * 
+     * Deploys a model. If a model is already deployed, deploying it with the
+     * same parameters has no effect. Deploying with different parametrs
+     * (as e.g. changing
+     * [node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number])
+     *  will reset the deployment state without pausing the model's availability.
+     * Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage
+     * deployment automatically.
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     *
+ */ + public void deployModel( + com.google.cloud.automl.v1beta1.DeployModelRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnimplementedUnaryCall(getDeployModelMethod(), responseObserver); + } + + /** + * + * + * 
+     * Undeploys a model. If the model is not deployed this method has no effect.
+     * Only applicable for Text Classification, Image Object Detection and Tables;
+     * all other domains manage deployment automatically.
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     *
+ */ + public void undeployModel( + com.google.cloud.automl.v1beta1.UndeployModelRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnimplementedUnaryCall(getUndeployModelMethod(), responseObserver); + } + + /** + * + * + * 
+     * Exports a trained, "export-able", model to a user specified Google Cloud
+     * Storage location. A model is considered export-able if and only if it has
+     * an export format defined for it in
+     * [ModelExportOutputConfig][google.cloud.automl.v1beta1.ModelExportOutputConfig].
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     *
+ */ + public void exportModel( + com.google.cloud.automl.v1beta1.ExportModelRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnimplementedUnaryCall(getExportModelMethod(), responseObserver); + } + + /** + * + * + * 
+     * Exports examples on which the model was evaluated (i.e. which were in the
+     * TEST set of the dataset the model was created from), together with their
+     * ground truth annotations and the annotations created (predicted) by the
+     * model.
+     * The examples, ground truth and predictions are exported in the state
+     * they were at the moment the model was evaluated.
+     * This export is available only for 30 days since the model evaluation is
+     * created.
+     * Currently only available for Tables.
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     *
+ */ + public void exportEvaluatedExamples( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnimplementedUnaryCall(getExportEvaluatedExamplesMethod(), responseObserver); + } + + /** + * + * + * 
+     * Gets a model evaluation.
+     *
+ */ + public void getModelEvaluation( + com.google.cloud.automl.v1beta1.GetModelEvaluationRequest request, + io.grpc.stub.StreamObserver + responseObserver) { + asyncUnimplementedUnaryCall(getGetModelEvaluationMethod(), responseObserver); + } + + /** + * + * + * 
+     * Lists model evaluations.
+     *
+ */ + public void listModelEvaluations( + com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest request, + io.grpc.stub.StreamObserver + responseObserver) { + asyncUnimplementedUnaryCall(getListModelEvaluationsMethod(), responseObserver); + } + + @java.lang.Override + public final io.grpc.ServerServiceDefinition bindService() { + return io.grpc.ServerServiceDefinition.builder(getServiceDescriptor()) + .addMethod( + getCreateDatasetMethod(), + asyncUnaryCall( + new MethodHandlers< + com.google.cloud.automl.v1beta1.CreateDatasetRequest, + com.google.cloud.automl.v1beta1.Dataset>(this, METHODID_CREATE_DATASET))) + .addMethod( + getGetDatasetMethod(), + asyncUnaryCall( + new MethodHandlers< + com.google.cloud.automl.v1beta1.GetDatasetRequest, + com.google.cloud.automl.v1beta1.Dataset>(this, METHODID_GET_DATASET))) + .addMethod( + getListDatasetsMethod(), + asyncUnaryCall( + new MethodHandlers< + com.google.cloud.automl.v1beta1.ListDatasetsRequest, + com.google.cloud.automl.v1beta1.ListDatasetsResponse>( + this, METHODID_LIST_DATASETS))) + .addMethod( + getUpdateDatasetMethod(), + asyncUnaryCall( + new MethodHandlers< + com.google.cloud.automl.v1beta1.UpdateDatasetRequest, + com.google.cloud.automl.v1beta1.Dataset>(this, METHODID_UPDATE_DATASET))) + .addMethod( + getDeleteDatasetMethod(), + asyncUnaryCall( + new MethodHandlers< + com.google.cloud.automl.v1beta1.DeleteDatasetRequest, + com.google.longrunning.Operation>(this, METHODID_DELETE_DATASET))) + .addMethod( + getImportDataMethod(), + asyncUnaryCall( + new MethodHandlers< + com.google.cloud.automl.v1beta1.ImportDataRequest, + com.google.longrunning.Operation>(this, METHODID_IMPORT_DATA))) + .addMethod( + getExportDataMethod(), + asyncUnaryCall( + new MethodHandlers< + com.google.cloud.automl.v1beta1.ExportDataRequest, + com.google.longrunning.Operation>(this, METHODID_EXPORT_DATA))) + .addMethod( + getGetAnnotationSpecMethod(), + asyncUnaryCall( + new MethodHandlers< + com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest, + com.google.cloud.automl.v1beta1.AnnotationSpec>( + this, METHODID_GET_ANNOTATION_SPEC))) + .addMethod( + getGetTableSpecMethod(), + asyncUnaryCall( + new MethodHandlers< + com.google.cloud.automl.v1beta1.GetTableSpecRequest, + com.google.cloud.automl.v1beta1.TableSpec>(this, METHODID_GET_TABLE_SPEC))) + .addMethod( + getListTableSpecsMethod(), + asyncUnaryCall( + new MethodHandlers< + com.google.cloud.automl.v1beta1.ListTableSpecsRequest, + com.google.cloud.automl.v1beta1.ListTableSpecsResponse>( + this, METHODID_LIST_TABLE_SPECS))) + .addMethod( + getUpdateTableSpecMethod(), + asyncUnaryCall( + new MethodHandlers< + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest, + com.google.cloud.automl.v1beta1.TableSpec>(this, METHODID_UPDATE_TABLE_SPEC))) + .addMethod( + getGetColumnSpecMethod(), + asyncUnaryCall( + new MethodHandlers< + com.google.cloud.automl.v1beta1.GetColumnSpecRequest, + com.google.cloud.automl.v1beta1.ColumnSpec>(this, METHODID_GET_COLUMN_SPEC))) + .addMethod( + getListColumnSpecsMethod(), + asyncUnaryCall( + new MethodHandlers< + com.google.cloud.automl.v1beta1.ListColumnSpecsRequest, + com.google.cloud.automl.v1beta1.ListColumnSpecsResponse>( + this, METHODID_LIST_COLUMN_SPECS))) + .addMethod( + getUpdateColumnSpecMethod(), + asyncUnaryCall( + new MethodHandlers< + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest, + com.google.cloud.automl.v1beta1.ColumnSpec>( + this, METHODID_UPDATE_COLUMN_SPEC))) + .addMethod( + getCreateModelMethod(), + asyncUnaryCall( + new MethodHandlers< + com.google.cloud.automl.v1beta1.CreateModelRequest, + com.google.longrunning.Operation>(this, METHODID_CREATE_MODEL))) + .addMethod( + getGetModelMethod(), + asyncUnaryCall( + new MethodHandlers< + com.google.cloud.automl.v1beta1.GetModelRequest, + com.google.cloud.automl.v1beta1.Model>(this, METHODID_GET_MODEL))) + .addMethod( + getListModelsMethod(), + asyncUnaryCall( + new MethodHandlers< + com.google.cloud.automl.v1beta1.ListModelsRequest, + com.google.cloud.automl.v1beta1.ListModelsResponse>( + this, METHODID_LIST_MODELS))) + .addMethod( + getDeleteModelMethod(), + asyncUnaryCall( + new MethodHandlers< + com.google.cloud.automl.v1beta1.DeleteModelRequest, + com.google.longrunning.Operation>(this, METHODID_DELETE_MODEL))) + .addMethod( + getDeployModelMethod(), + asyncUnaryCall( + new MethodHandlers< + com.google.cloud.automl.v1beta1.DeployModelRequest, + com.google.longrunning.Operation>(this, METHODID_DEPLOY_MODEL))) + .addMethod( + getUndeployModelMethod(), + asyncUnaryCall( + new MethodHandlers< + com.google.cloud.automl.v1beta1.UndeployModelRequest, + com.google.longrunning.Operation>(this, METHODID_UNDEPLOY_MODEL))) + .addMethod( + getExportModelMethod(), + asyncUnaryCall( + new MethodHandlers< + com.google.cloud.automl.v1beta1.ExportModelRequest, + com.google.longrunning.Operation>(this, METHODID_EXPORT_MODEL))) + .addMethod( + getExportEvaluatedExamplesMethod(), + asyncUnaryCall( + new MethodHandlers< + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest, + com.google.longrunning.Operation>(this, METHODID_EXPORT_EVALUATED_EXAMPLES))) + .addMethod( + getGetModelEvaluationMethod(), + asyncUnaryCall( + new MethodHandlers< + com.google.cloud.automl.v1beta1.GetModelEvaluationRequest, + com.google.cloud.automl.v1beta1.ModelEvaluation>( + this, METHODID_GET_MODEL_EVALUATION))) + .addMethod( + getListModelEvaluationsMethod(), + asyncUnaryCall( + new MethodHandlers< + com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest, + com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse>( + this, METHODID_LIST_MODEL_EVALUATIONS))) + .build(); + } + } + + /** + * + * + * 
+   * AutoML Server API.
+   * The resource names are assigned by the server.
+   * The server never reuses names that it has created after the resources with
+   * those names are deleted.
+   * An ID of a resource is the last element of the item's resource name. For
+   * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`, then
+   * the id for the item is `{dataset_id}`.
+   * Currently the only supported `location_id` is "us-central1".
+   * On any input that is documented to expect a string parameter in
+   * snake_case or kebab-case, either of those cases is accepted.
+   *
+ */ + public static final class AutoMlStub extends io.grpc.stub.AbstractAsyncStub { + private AutoMlStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) { + super(channel, callOptions); + } + + @java.lang.Override + protected AutoMlStub build(io.grpc.Channel channel, io.grpc.CallOptions callOptions) { + return new AutoMlStub(channel, callOptions); + } + + /** + * + * + * 
+     * Creates a dataset.
+     *
+ */ + public void createDataset( + com.google.cloud.automl.v1beta1.CreateDatasetRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnaryCall( + getChannel().newCall(getCreateDatasetMethod(), getCallOptions()), + request, + responseObserver); + } + + /** + * + * + * 
+     * Gets a dataset.
+     *
+ */ + public void getDataset( + com.google.cloud.automl.v1beta1.GetDatasetRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnaryCall( + getChannel().newCall(getGetDatasetMethod(), getCallOptions()), request, responseObserver); + } + + /** + * + * + * 
+     * Lists datasets in a project.
+     *
+ */ + public void listDatasets( + com.google.cloud.automl.v1beta1.ListDatasetsRequest request, + io.grpc.stub.StreamObserver + responseObserver) { + asyncUnaryCall( + getChannel().newCall(getListDatasetsMethod(), getCallOptions()), + request, + responseObserver); + } + + /** + * + * + * 
+     * Updates a dataset.
+     *
+ */ + public void updateDataset( + com.google.cloud.automl.v1beta1.UpdateDatasetRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnaryCall( + getChannel().newCall(getUpdateDatasetMethod(), getCallOptions()), + request, + responseObserver); + } + + /** + * + * + * 
+     * Deletes a dataset and all of its contents.
+     * Returns empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes,
+     * and `delete_details` in the
+     * [metadata][google.longrunning.Operation.metadata] field.
+     *
+ */ + public void deleteDataset( + com.google.cloud.automl.v1beta1.DeleteDatasetRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnaryCall( + getChannel().newCall(getDeleteDatasetMethod(), getCallOptions()), + request, + responseObserver); + } + + /** + * + * + * 
+     * Imports data into a dataset.
+     * For Tables this method can only be called on an empty Dataset.
+     * For Tables:
+     * *   A
+     * [schema_inference_version][google.cloud.automl.v1beta1.InputConfig.params]
+     *     parameter must be explicitly set.
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     *
+ */ + public void importData( + com.google.cloud.automl.v1beta1.ImportDataRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnaryCall( + getChannel().newCall(getImportDataMethod(), getCallOptions()), request, responseObserver); + } + + /** + * + * + * 
+     * Exports dataset's data to the provided output location.
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     *
+ */ + public void exportData( + com.google.cloud.automl.v1beta1.ExportDataRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnaryCall( + getChannel().newCall(getExportDataMethod(), getCallOptions()), request, responseObserver); + } + + /** + * + * + * 
+     * Gets an annotation spec.
+     *
+ */ + public void getAnnotationSpec( + com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest request, + io.grpc.stub.StreamObserver + responseObserver) { + asyncUnaryCall( + getChannel().newCall(getGetAnnotationSpecMethod(), getCallOptions()), + request, + responseObserver); + } + + /** + * + * + * 
+     * Gets a table spec.
+     *
+ */ + public void getTableSpec( + com.google.cloud.automl.v1beta1.GetTableSpecRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnaryCall( + getChannel().newCall(getGetTableSpecMethod(), getCallOptions()), + request, + responseObserver); + } + + /** + * + * + * 
+     * Lists table specs in a dataset.
+     *
+ */ + public void listTableSpecs( + com.google.cloud.automl.v1beta1.ListTableSpecsRequest request, + io.grpc.stub.StreamObserver + responseObserver) { + asyncUnaryCall( + getChannel().newCall(getListTableSpecsMethod(), getCallOptions()), + request, + responseObserver); + } + + /** + * + * + * 
+     * Updates a table spec.
+     *
+ */ + public void updateTableSpec( + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnaryCall( + getChannel().newCall(getUpdateTableSpecMethod(), getCallOptions()), + request, + responseObserver); + } + + /** + * + * + * 
+     * Gets a column spec.
+     *
+ */ + public void getColumnSpec( + com.google.cloud.automl.v1beta1.GetColumnSpecRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnaryCall( + getChannel().newCall(getGetColumnSpecMethod(), getCallOptions()), + request, + responseObserver); + } + + /** + * + * + * 
+     * Lists column specs in a table spec.
+     *
+ */ + public void listColumnSpecs( + com.google.cloud.automl.v1beta1.ListColumnSpecsRequest request, + io.grpc.stub.StreamObserver + responseObserver) { + asyncUnaryCall( + getChannel().newCall(getListColumnSpecsMethod(), getCallOptions()), + request, + responseObserver); + } + + /** + * + * + * 
+     * Updates a column spec.
+     *
+ */ + public void updateColumnSpec( + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnaryCall( + getChannel().newCall(getUpdateColumnSpecMethod(), getCallOptions()), + request, + responseObserver); + } + + /** + * + * + * 
+     * Creates a model.
+     * Returns a Model in the [response][google.longrunning.Operation.response]
+     * field when it completes.
+     * When you create a model, several model evaluations are created for it:
+     * a global evaluation, and one evaluation for each annotation spec.
+     *
+ */ + public void createModel( + com.google.cloud.automl.v1beta1.CreateModelRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnaryCall( + getChannel().newCall(getCreateModelMethod(), getCallOptions()), + request, + responseObserver); + } + + /** + * + * + * 
+     * Gets a model.
+     *
+ */ + public void getModel( + com.google.cloud.automl.v1beta1.GetModelRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnaryCall( + getChannel().newCall(getGetModelMethod(), getCallOptions()), request, responseObserver); + } + + /** + * + * + * 
+     * Lists models.
+     *
+ */ + public void listModels( + com.google.cloud.automl.v1beta1.ListModelsRequest request, + io.grpc.stub.StreamObserver + responseObserver) { + asyncUnaryCall( + getChannel().newCall(getListModelsMethod(), getCallOptions()), request, responseObserver); + } + + /** + * + * + * 
+     * Deletes a model.
+     * Returns `google.protobuf.Empty` in the
+     * [response][google.longrunning.Operation.response] field when it completes,
+     * and `delete_details` in the
+     * [metadata][google.longrunning.Operation.metadata] field.
+     *
+ */ + public void deleteModel( + com.google.cloud.automl.v1beta1.DeleteModelRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnaryCall( + getChannel().newCall(getDeleteModelMethod(), getCallOptions()), + request, + responseObserver); + } + + /** + * + * + * 
+     * Deploys a model. If a model is already deployed, deploying it with the
+     * same parameters has no effect. Deploying with different parametrs
+     * (as e.g. changing
+     * [node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number])
+     *  will reset the deployment state without pausing the model's availability.
+     * Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage
+     * deployment automatically.
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     *
+ */ + public void deployModel( + com.google.cloud.automl.v1beta1.DeployModelRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnaryCall( + getChannel().newCall(getDeployModelMethod(), getCallOptions()), + request, + responseObserver); + } + + /** + * + * + * 
+     * Undeploys a model. If the model is not deployed this method has no effect.
+     * Only applicable for Text Classification, Image Object Detection and Tables;
+     * all other domains manage deployment automatically.
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     *
+ */ + public void undeployModel( + com.google.cloud.automl.v1beta1.UndeployModelRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnaryCall( + getChannel().newCall(getUndeployModelMethod(), getCallOptions()), + request, + responseObserver); + } + + /** + * + * + * 
+     * Exports a trained, "export-able", model to a user specified Google Cloud
+     * Storage location. A model is considered export-able if and only if it has
+     * an export format defined for it in
+     * [ModelExportOutputConfig][google.cloud.automl.v1beta1.ModelExportOutputConfig].
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     *
+ */ + public void exportModel( + com.google.cloud.automl.v1beta1.ExportModelRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnaryCall( + getChannel().newCall(getExportModelMethod(), getCallOptions()), + request, + responseObserver); + } + + /** + * + * + * 
+     * Exports examples on which the model was evaluated (i.e. which were in the
+     * TEST set of the dataset the model was created from), together with their
+     * ground truth annotations and the annotations created (predicted) by the
+     * model.
+     * The examples, ground truth and predictions are exported in the state
+     * they were at the moment the model was evaluated.
+     * This export is available only for 30 days since the model evaluation is
+     * created.
+     * Currently only available for Tables.
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     *
+ */ + public void exportEvaluatedExamples( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnaryCall( + getChannel().newCall(getExportEvaluatedExamplesMethod(), getCallOptions()), + request, + responseObserver); + } + + /** + * + * + * 
+     * Gets a model evaluation.
+     *
+ */ + public void getModelEvaluation( + com.google.cloud.automl.v1beta1.GetModelEvaluationRequest request, + io.grpc.stub.StreamObserver + responseObserver) { + asyncUnaryCall( + getChannel().newCall(getGetModelEvaluationMethod(), getCallOptions()), + request, + responseObserver); + } + + /** + * + * + * 
+     * Lists model evaluations.
+     *
+ */ + public void listModelEvaluations( + com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest request, + io.grpc.stub.StreamObserver + responseObserver) { + asyncUnaryCall( + getChannel().newCall(getListModelEvaluationsMethod(), getCallOptions()), + request, + responseObserver); + } + } + + /** + * + * + * 
+   * AutoML Server API.
+   * The resource names are assigned by the server.
+   * The server never reuses names that it has created after the resources with
+   * those names are deleted.
+   * An ID of a resource is the last element of the item's resource name. For
+   * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`, then
+   * the id for the item is `{dataset_id}`.
+   * Currently the only supported `location_id` is "us-central1".
+   * On any input that is documented to expect a string parameter in
+   * snake_case or kebab-case, either of those cases is accepted.
+   *
+ */ + public static final class AutoMlBlockingStub + extends io.grpc.stub.AbstractBlockingStub { + private AutoMlBlockingStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) { + super(channel, callOptions); + } + + @java.lang.Override + protected AutoMlBlockingStub build(io.grpc.Channel channel, io.grpc.CallOptions callOptions) { + return new AutoMlBlockingStub(channel, callOptions); + } + + /** + * + * + * 
+     * Creates a dataset.
+     *
+ */ + public com.google.cloud.automl.v1beta1.Dataset createDataset( + com.google.cloud.automl.v1beta1.CreateDatasetRequest request) { + return blockingUnaryCall(getChannel(), getCreateDatasetMethod(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Gets a dataset.
+     *
+ */ + public com.google.cloud.automl.v1beta1.Dataset getDataset( + com.google.cloud.automl.v1beta1.GetDatasetRequest request) { + return blockingUnaryCall(getChannel(), getGetDatasetMethod(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Lists datasets in a project.
+     *
+ */ + public com.google.cloud.automl.v1beta1.ListDatasetsResponse listDatasets( + com.google.cloud.automl.v1beta1.ListDatasetsRequest request) { + return blockingUnaryCall(getChannel(), getListDatasetsMethod(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Updates a dataset.
+     *
+ */ + public com.google.cloud.automl.v1beta1.Dataset updateDataset( + com.google.cloud.automl.v1beta1.UpdateDatasetRequest request) { + return blockingUnaryCall(getChannel(), getUpdateDatasetMethod(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Deletes a dataset and all of its contents.
+     * Returns empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes,
+     * and `delete_details` in the
+     * [metadata][google.longrunning.Operation.metadata] field.
+     *
+ */ + public com.google.longrunning.Operation deleteDataset( + com.google.cloud.automl.v1beta1.DeleteDatasetRequest request) { + return blockingUnaryCall(getChannel(), getDeleteDatasetMethod(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Imports data into a dataset.
+     * For Tables this method can only be called on an empty Dataset.
+     * For Tables:
+     * *   A
+     * [schema_inference_version][google.cloud.automl.v1beta1.InputConfig.params]
+     *     parameter must be explicitly set.
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     *
+ */ + public com.google.longrunning.Operation importData( + com.google.cloud.automl.v1beta1.ImportDataRequest request) { + return blockingUnaryCall(getChannel(), getImportDataMethod(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Exports dataset's data to the provided output location.
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     *
+ */ + public com.google.longrunning.Operation exportData( + com.google.cloud.automl.v1beta1.ExportDataRequest request) { + return blockingUnaryCall(getChannel(), getExportDataMethod(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Gets an annotation spec.
+     *
+ */ + public com.google.cloud.automl.v1beta1.AnnotationSpec getAnnotationSpec( + com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest request) { + return blockingUnaryCall( + getChannel(), getGetAnnotationSpecMethod(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Gets a table spec.
+     *
+ */ + public com.google.cloud.automl.v1beta1.TableSpec getTableSpec( + com.google.cloud.automl.v1beta1.GetTableSpecRequest request) { + return blockingUnaryCall(getChannel(), getGetTableSpecMethod(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Lists table specs in a dataset.
+     *
+ */ + public com.google.cloud.automl.v1beta1.ListTableSpecsResponse listTableSpecs( + com.google.cloud.automl.v1beta1.ListTableSpecsRequest request) { + return blockingUnaryCall(getChannel(), getListTableSpecsMethod(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Updates a table spec.
+     *
+ */ + public com.google.cloud.automl.v1beta1.TableSpec updateTableSpec( + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest request) { + return blockingUnaryCall(getChannel(), getUpdateTableSpecMethod(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Gets a column spec.
+     *
+ */ + public com.google.cloud.automl.v1beta1.ColumnSpec getColumnSpec( + com.google.cloud.automl.v1beta1.GetColumnSpecRequest request) { + return blockingUnaryCall(getChannel(), getGetColumnSpecMethod(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Lists column specs in a table spec.
+     *
+ */ + public com.google.cloud.automl.v1beta1.ListColumnSpecsResponse listColumnSpecs( + com.google.cloud.automl.v1beta1.ListColumnSpecsRequest request) { + return blockingUnaryCall(getChannel(), getListColumnSpecsMethod(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Updates a column spec.
+     *
+ */ + public com.google.cloud.automl.v1beta1.ColumnSpec updateColumnSpec( + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest request) { + return blockingUnaryCall( + getChannel(), getUpdateColumnSpecMethod(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Creates a model.
+     * Returns a Model in the [response][google.longrunning.Operation.response]
+     * field when it completes.
+     * When you create a model, several model evaluations are created for it:
+     * a global evaluation, and one evaluation for each annotation spec.
+     *
+ */ + public com.google.longrunning.Operation createModel( + com.google.cloud.automl.v1beta1.CreateModelRequest request) { + return blockingUnaryCall(getChannel(), getCreateModelMethod(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Gets a model.
+     *
+ */ + public com.google.cloud.automl.v1beta1.Model getModel( + com.google.cloud.automl.v1beta1.GetModelRequest request) { + return blockingUnaryCall(getChannel(), getGetModelMethod(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Lists models.
+     *
+ */ + public com.google.cloud.automl.v1beta1.ListModelsResponse listModels( + com.google.cloud.automl.v1beta1.ListModelsRequest request) { + return blockingUnaryCall(getChannel(), getListModelsMethod(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Deletes a model.
+     * Returns `google.protobuf.Empty` in the
+     * [response][google.longrunning.Operation.response] field when it completes,
+     * and `delete_details` in the
+     * [metadata][google.longrunning.Operation.metadata] field.
+     *
+ */ + public com.google.longrunning.Operation deleteModel( + com.google.cloud.automl.v1beta1.DeleteModelRequest request) { + return blockingUnaryCall(getChannel(), getDeleteModelMethod(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Deploys a model. If a model is already deployed, deploying it with the
+     * same parameters has no effect. Deploying with different parametrs
+     * (as e.g. changing
+     * [node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number])
+     *  will reset the deployment state without pausing the model's availability.
+     * Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage
+     * deployment automatically.
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     *
+ */ + public com.google.longrunning.Operation deployModel( + com.google.cloud.automl.v1beta1.DeployModelRequest request) { + return blockingUnaryCall(getChannel(), getDeployModelMethod(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Undeploys a model. If the model is not deployed this method has no effect.
+     * Only applicable for Text Classification, Image Object Detection and Tables;
+     * all other domains manage deployment automatically.
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     *
+ */ + public com.google.longrunning.Operation undeployModel( + com.google.cloud.automl.v1beta1.UndeployModelRequest request) { + return blockingUnaryCall(getChannel(), getUndeployModelMethod(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Exports a trained, "export-able", model to a user specified Google Cloud
+     * Storage location. A model is considered export-able if and only if it has
+     * an export format defined for it in
+     * [ModelExportOutputConfig][google.cloud.automl.v1beta1.ModelExportOutputConfig].
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     *
+ */ + public com.google.longrunning.Operation exportModel( + com.google.cloud.automl.v1beta1.ExportModelRequest request) { + return blockingUnaryCall(getChannel(), getExportModelMethod(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Exports examples on which the model was evaluated (i.e. which were in the
+     * TEST set of the dataset the model was created from), together with their
+     * ground truth annotations and the annotations created (predicted) by the
+     * model.
+     * The examples, ground truth and predictions are exported in the state
+     * they were at the moment the model was evaluated.
+     * This export is available only for 30 days since the model evaluation is
+     * created.
+     * Currently only available for Tables.
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     *
+ */ + public com.google.longrunning.Operation exportEvaluatedExamples( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest request) { + return blockingUnaryCall( + getChannel(), getExportEvaluatedExamplesMethod(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Gets a model evaluation.
+     *
+ */ + public com.google.cloud.automl.v1beta1.ModelEvaluation getModelEvaluation( + com.google.cloud.automl.v1beta1.GetModelEvaluationRequest request) { + return blockingUnaryCall( + getChannel(), getGetModelEvaluationMethod(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Lists model evaluations.
+     *
+ */ + public com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse listModelEvaluations( + com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest request) { + return blockingUnaryCall( + getChannel(), getListModelEvaluationsMethod(), getCallOptions(), request); + } + } + + /** + * + * + * 
+   * AutoML Server API.
+   * The resource names are assigned by the server.
+   * The server never reuses names that it has created after the resources with
+   * those names are deleted.
+   * An ID of a resource is the last element of the item's resource name. For
+   * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`, then
+   * the id for the item is `{dataset_id}`.
+   * Currently the only supported `location_id` is "us-central1".
+   * On any input that is documented to expect a string parameter in
+   * snake_case or kebab-case, either of those cases is accepted.
+   *
+ */ + public static final class AutoMlFutureStub + extends io.grpc.stub.AbstractFutureStub { + private AutoMlFutureStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) { + super(channel, callOptions); + } + + @java.lang.Override + protected AutoMlFutureStub build(io.grpc.Channel channel, io.grpc.CallOptions callOptions) { + return new AutoMlFutureStub(channel, callOptions); + } + + /** + * + * + * 
+     * Creates a dataset.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture< + com.google.cloud.automl.v1beta1.Dataset> + createDataset(com.google.cloud.automl.v1beta1.CreateDatasetRequest request) { + return futureUnaryCall( + getChannel().newCall(getCreateDatasetMethod(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Gets a dataset.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture< + com.google.cloud.automl.v1beta1.Dataset> + getDataset(com.google.cloud.automl.v1beta1.GetDatasetRequest request) { + return futureUnaryCall( + getChannel().newCall(getGetDatasetMethod(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Lists datasets in a project.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture< + com.google.cloud.automl.v1beta1.ListDatasetsResponse> + listDatasets(com.google.cloud.automl.v1beta1.ListDatasetsRequest request) { + return futureUnaryCall( + getChannel().newCall(getListDatasetsMethod(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Updates a dataset.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture< + com.google.cloud.automl.v1beta1.Dataset> + updateDataset(com.google.cloud.automl.v1beta1.UpdateDatasetRequest request) { + return futureUnaryCall( + getChannel().newCall(getUpdateDatasetMethod(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Deletes a dataset and all of its contents.
+     * Returns empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes,
+     * and `delete_details` in the
+     * [metadata][google.longrunning.Operation.metadata] field.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture + deleteDataset(com.google.cloud.automl.v1beta1.DeleteDatasetRequest request) { + return futureUnaryCall( + getChannel().newCall(getDeleteDatasetMethod(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Imports data into a dataset.
+     * For Tables this method can only be called on an empty Dataset.
+     * For Tables:
+     * *   A
+     * [schema_inference_version][google.cloud.automl.v1beta1.InputConfig.params]
+     *     parameter must be explicitly set.
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture + importData(com.google.cloud.automl.v1beta1.ImportDataRequest request) { + return futureUnaryCall( + getChannel().newCall(getImportDataMethod(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Exports dataset's data to the provided output location.
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture + exportData(com.google.cloud.automl.v1beta1.ExportDataRequest request) { + return futureUnaryCall( + getChannel().newCall(getExportDataMethod(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Gets an annotation spec.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture< + com.google.cloud.automl.v1beta1.AnnotationSpec> + getAnnotationSpec(com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest request) { + return futureUnaryCall( + getChannel().newCall(getGetAnnotationSpecMethod(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Gets a table spec.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture< + com.google.cloud.automl.v1beta1.TableSpec> + getTableSpec(com.google.cloud.automl.v1beta1.GetTableSpecRequest request) { + return futureUnaryCall( + getChannel().newCall(getGetTableSpecMethod(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Lists table specs in a dataset.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture< + com.google.cloud.automl.v1beta1.ListTableSpecsResponse> + listTableSpecs(com.google.cloud.automl.v1beta1.ListTableSpecsRequest request) { + return futureUnaryCall( + getChannel().newCall(getListTableSpecsMethod(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Updates a table spec.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture< + com.google.cloud.automl.v1beta1.TableSpec> + updateTableSpec(com.google.cloud.automl.v1beta1.UpdateTableSpecRequest request) { + return futureUnaryCall( + getChannel().newCall(getUpdateTableSpecMethod(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Gets a column spec.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture< + com.google.cloud.automl.v1beta1.ColumnSpec> + getColumnSpec(com.google.cloud.automl.v1beta1.GetColumnSpecRequest request) { + return futureUnaryCall( + getChannel().newCall(getGetColumnSpecMethod(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Lists column specs in a table spec.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture< + com.google.cloud.automl.v1beta1.ListColumnSpecsResponse> + listColumnSpecs(com.google.cloud.automl.v1beta1.ListColumnSpecsRequest request) { + return futureUnaryCall( + getChannel().newCall(getListColumnSpecsMethod(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Updates a column spec.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture< + com.google.cloud.automl.v1beta1.ColumnSpec> + updateColumnSpec(com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest request) { + return futureUnaryCall( + getChannel().newCall(getUpdateColumnSpecMethod(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Creates a model.
+     * Returns a Model in the [response][google.longrunning.Operation.response]
+     * field when it completes.
+     * When you create a model, several model evaluations are created for it:
+     * a global evaluation, and one evaluation for each annotation spec.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture + createModel(com.google.cloud.automl.v1beta1.CreateModelRequest request) { + return futureUnaryCall( + getChannel().newCall(getCreateModelMethod(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Gets a model.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture + getModel(com.google.cloud.automl.v1beta1.GetModelRequest request) { + return futureUnaryCall(getChannel().newCall(getGetModelMethod(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Lists models.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture< + com.google.cloud.automl.v1beta1.ListModelsResponse> + listModels(com.google.cloud.automl.v1beta1.ListModelsRequest request) { + return futureUnaryCall( + getChannel().newCall(getListModelsMethod(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Deletes a model.
+     * Returns `google.protobuf.Empty` in the
+     * [response][google.longrunning.Operation.response] field when it completes,
+     * and `delete_details` in the
+     * [metadata][google.longrunning.Operation.metadata] field.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture + deleteModel(com.google.cloud.automl.v1beta1.DeleteModelRequest request) { + return futureUnaryCall( + getChannel().newCall(getDeleteModelMethod(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Deploys a model. If a model is already deployed, deploying it with the
+     * same parameters has no effect. Deploying with different parametrs
+     * (as e.g. changing
+     * [node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number])
+     *  will reset the deployment state without pausing the model's availability.
+     * Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage
+     * deployment automatically.
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture + deployModel(com.google.cloud.automl.v1beta1.DeployModelRequest request) { + return futureUnaryCall( + getChannel().newCall(getDeployModelMethod(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Undeploys a model. If the model is not deployed this method has no effect.
+     * Only applicable for Text Classification, Image Object Detection and Tables;
+     * all other domains manage deployment automatically.
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture + undeployModel(com.google.cloud.automl.v1beta1.UndeployModelRequest request) { + return futureUnaryCall( + getChannel().newCall(getUndeployModelMethod(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Exports a trained, "export-able", model to a user specified Google Cloud
+     * Storage location. A model is considered export-able if and only if it has
+     * an export format defined for it in
+     * [ModelExportOutputConfig][google.cloud.automl.v1beta1.ModelExportOutputConfig].
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture + exportModel(com.google.cloud.automl.v1beta1.ExportModelRequest request) { + return futureUnaryCall( + getChannel().newCall(getExportModelMethod(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Exports examples on which the model was evaluated (i.e. which were in the
+     * TEST set of the dataset the model was created from), together with their
+     * ground truth annotations and the annotations created (predicted) by the
+     * model.
+     * The examples, ground truth and predictions are exported in the state
+     * they were at the moment the model was evaluated.
+     * This export is available only for 30 days since the model evaluation is
+     * created.
+     * Currently only available for Tables.
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture + exportEvaluatedExamples( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest request) { + return futureUnaryCall( + getChannel().newCall(getExportEvaluatedExamplesMethod(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Gets a model evaluation.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture< + com.google.cloud.automl.v1beta1.ModelEvaluation> + getModelEvaluation(com.google.cloud.automl.v1beta1.GetModelEvaluationRequest request) { + return futureUnaryCall( + getChannel().newCall(getGetModelEvaluationMethod(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Lists model evaluations.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture< + com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse> + listModelEvaluations(com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest request) { + return futureUnaryCall( + getChannel().newCall(getListModelEvaluationsMethod(), getCallOptions()), request); + } + } + + private static final int METHODID_CREATE_DATASET = 0; + private static final int METHODID_GET_DATASET = 1; + private static final int METHODID_LIST_DATASETS = 2; + private static final int METHODID_UPDATE_DATASET = 3; + private static final int METHODID_DELETE_DATASET = 4; + private static final int METHODID_IMPORT_DATA = 5; + private static final int METHODID_EXPORT_DATA = 6; + private static final int METHODID_GET_ANNOTATION_SPEC = 7; + private static final int METHODID_GET_TABLE_SPEC = 8; + private static final int METHODID_LIST_TABLE_SPECS = 9; + private static final int METHODID_UPDATE_TABLE_SPEC = 10; + private static final int METHODID_GET_COLUMN_SPEC = 11; + private static final int METHODID_LIST_COLUMN_SPECS = 12; + private static final int METHODID_UPDATE_COLUMN_SPEC = 13; + private static final int METHODID_CREATE_MODEL = 14; + private static final int METHODID_GET_MODEL = 15; + private static final int METHODID_LIST_MODELS = 16; + private static final int METHODID_DELETE_MODEL = 17; + private static final int METHODID_DEPLOY_MODEL = 18; + private static final int METHODID_UNDEPLOY_MODEL = 19; + private static final int METHODID_EXPORT_MODEL = 20; + private static final int METHODID_EXPORT_EVALUATED_EXAMPLES = 21; + private static final int METHODID_GET_MODEL_EVALUATION = 22; + private static final int METHODID_LIST_MODEL_EVALUATIONS = 23; + + private static final class MethodHandlers + implements io.grpc.stub.ServerCalls.UnaryMethod, + io.grpc.stub.ServerCalls.ServerStreamingMethod, + io.grpc.stub.ServerCalls.ClientStreamingMethod, + io.grpc.stub.ServerCalls.BidiStreamingMethod { + private final AutoMlImplBase serviceImpl; + private final int methodId; + + MethodHandlers(AutoMlImplBase serviceImpl, int methodId) { + this.serviceImpl = serviceImpl; + this.methodId = methodId; + } + + @java.lang.Override + @java.lang.SuppressWarnings("unchecked") + public void invoke(Req request, io.grpc.stub.StreamObserver responseObserver) { + switch (methodId) { + case METHODID_CREATE_DATASET: + serviceImpl.createDataset( + (com.google.cloud.automl.v1beta1.CreateDatasetRequest) request, + (io.grpc.stub.StreamObserver) + responseObserver); + break; + case METHODID_GET_DATASET: + serviceImpl.getDataset( + (com.google.cloud.automl.v1beta1.GetDatasetRequest) request, + (io.grpc.stub.StreamObserver) + responseObserver); + break; + case METHODID_LIST_DATASETS: + serviceImpl.listDatasets( + (com.google.cloud.automl.v1beta1.ListDatasetsRequest) request, + (io.grpc.stub.StreamObserver) + responseObserver); + break; + case METHODID_UPDATE_DATASET: + serviceImpl.updateDataset( + (com.google.cloud.automl.v1beta1.UpdateDatasetRequest) request, + (io.grpc.stub.StreamObserver) + responseObserver); + break; + case METHODID_DELETE_DATASET: + serviceImpl.deleteDataset( + (com.google.cloud.automl.v1beta1.DeleteDatasetRequest) request, + (io.grpc.stub.StreamObserver) responseObserver); + break; + case METHODID_IMPORT_DATA: + serviceImpl.importData( + (com.google.cloud.automl.v1beta1.ImportDataRequest) request, + (io.grpc.stub.StreamObserver) responseObserver); + break; + case METHODID_EXPORT_DATA: + serviceImpl.exportData( + (com.google.cloud.automl.v1beta1.ExportDataRequest) request, + (io.grpc.stub.StreamObserver) responseObserver); + break; + case METHODID_GET_ANNOTATION_SPEC: + serviceImpl.getAnnotationSpec( + (com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest) request, + (io.grpc.stub.StreamObserver) + responseObserver); + break; + case METHODID_GET_TABLE_SPEC: + serviceImpl.getTableSpec( + (com.google.cloud.automl.v1beta1.GetTableSpecRequest) request, + (io.grpc.stub.StreamObserver) + responseObserver); + break; + case METHODID_LIST_TABLE_SPECS: + serviceImpl.listTableSpecs( + (com.google.cloud.automl.v1beta1.ListTableSpecsRequest) request, + (io.grpc.stub.StreamObserver) + responseObserver); + break; + case METHODID_UPDATE_TABLE_SPEC: + serviceImpl.updateTableSpec( + (com.google.cloud.automl.v1beta1.UpdateTableSpecRequest) request, + (io.grpc.stub.StreamObserver) + responseObserver); + break; + case METHODID_GET_COLUMN_SPEC: + serviceImpl.getColumnSpec( + (com.google.cloud.automl.v1beta1.GetColumnSpecRequest) request, + (io.grpc.stub.StreamObserver) + responseObserver); + break; + case METHODID_LIST_COLUMN_SPECS: + serviceImpl.listColumnSpecs( + (com.google.cloud.automl.v1beta1.ListColumnSpecsRequest) request, + (io.grpc.stub.StreamObserver) + responseObserver); + break; + case METHODID_UPDATE_COLUMN_SPEC: + serviceImpl.updateColumnSpec( + (com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest) request, + (io.grpc.stub.StreamObserver) + responseObserver); + break; + case METHODID_CREATE_MODEL: + serviceImpl.createModel( + (com.google.cloud.automl.v1beta1.CreateModelRequest) request, + (io.grpc.stub.StreamObserver) responseObserver); + break; + case METHODID_GET_MODEL: + serviceImpl.getModel( + (com.google.cloud.automl.v1beta1.GetModelRequest) request, + (io.grpc.stub.StreamObserver) + responseObserver); + break; + case METHODID_LIST_MODELS: + serviceImpl.listModels( + (com.google.cloud.automl.v1beta1.ListModelsRequest) request, + (io.grpc.stub.StreamObserver) + responseObserver); + break; + case METHODID_DELETE_MODEL: + serviceImpl.deleteModel( + (com.google.cloud.automl.v1beta1.DeleteModelRequest) request, + (io.grpc.stub.StreamObserver) responseObserver); + break; + case METHODID_DEPLOY_MODEL: + serviceImpl.deployModel( + (com.google.cloud.automl.v1beta1.DeployModelRequest) request, + (io.grpc.stub.StreamObserver) responseObserver); + break; + case METHODID_UNDEPLOY_MODEL: + serviceImpl.undeployModel( + (com.google.cloud.automl.v1beta1.UndeployModelRequest) request, + (io.grpc.stub.StreamObserver) responseObserver); + break; + case METHODID_EXPORT_MODEL: + serviceImpl.exportModel( + (com.google.cloud.automl.v1beta1.ExportModelRequest) request, + (io.grpc.stub.StreamObserver) responseObserver); + break; + case METHODID_EXPORT_EVALUATED_EXAMPLES: + serviceImpl.exportEvaluatedExamples( + (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest) request, + (io.grpc.stub.StreamObserver) responseObserver); + break; + case METHODID_GET_MODEL_EVALUATION: + serviceImpl.getModelEvaluation( + (com.google.cloud.automl.v1beta1.GetModelEvaluationRequest) request, + (io.grpc.stub.StreamObserver) + responseObserver); + break; + case METHODID_LIST_MODEL_EVALUATIONS: + serviceImpl.listModelEvaluations( + (com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest) request, + (io.grpc.stub.StreamObserver< + com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse>) + responseObserver); + break; + default: + throw new AssertionError(); + } + } + + @java.lang.Override + @java.lang.SuppressWarnings("unchecked") + public io.grpc.stub.StreamObserver invoke( + io.grpc.stub.StreamObserver responseObserver) { + switch (methodId) { + default: + throw new AssertionError(); + } + } + } + + private abstract static class AutoMlBaseDescriptorSupplier + implements io.grpc.protobuf.ProtoFileDescriptorSupplier, + io.grpc.protobuf.ProtoServiceDescriptorSupplier { + AutoMlBaseDescriptorSupplier() {} + + @java.lang.Override + public com.google.protobuf.Descriptors.FileDescriptor getFileDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto.getDescriptor(); + } + + @java.lang.Override + public com.google.protobuf.Descriptors.ServiceDescriptor getServiceDescriptor() { + return getFileDescriptor().findServiceByName("AutoMl"); + } + } + + private static final class AutoMlFileDescriptorSupplier extends AutoMlBaseDescriptorSupplier { + AutoMlFileDescriptorSupplier() {} + } + + private static final class AutoMlMethodDescriptorSupplier extends AutoMlBaseDescriptorSupplier + implements io.grpc.protobuf.ProtoMethodDescriptorSupplier { + private final String methodName; + + AutoMlMethodDescriptorSupplier(String methodName) { + this.methodName = methodName; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.MethodDescriptor getMethodDescriptor() { + return getServiceDescriptor().findMethodByName(methodName); + } + } + + private static volatile io.grpc.ServiceDescriptor serviceDescriptor; + + public static io.grpc.ServiceDescriptor getServiceDescriptor() { + io.grpc.ServiceDescriptor result = serviceDescriptor; + if (result == null) { + synchronized (AutoMlGrpc.class) { + result = serviceDescriptor; + if (result == null) { + serviceDescriptor = + result = + io.grpc.ServiceDescriptor.newBuilder(SERVICE_NAME) + .setSchemaDescriptor(new AutoMlFileDescriptorSupplier()) + .addMethod(getCreateDatasetMethod()) + .addMethod(getGetDatasetMethod()) + .addMethod(getListDatasetsMethod()) + .addMethod(getUpdateDatasetMethod()) + .addMethod(getDeleteDatasetMethod()) + .addMethod(getImportDataMethod()) + .addMethod(getExportDataMethod()) + .addMethod(getGetAnnotationSpecMethod()) + .addMethod(getGetTableSpecMethod()) + .addMethod(getListTableSpecsMethod()) + .addMethod(getUpdateTableSpecMethod()) + .addMethod(getGetColumnSpecMethod()) + .addMethod(getListColumnSpecsMethod()) + .addMethod(getUpdateColumnSpecMethod()) + .addMethod(getCreateModelMethod()) + .addMethod(getGetModelMethod()) + .addMethod(getListModelsMethod()) + .addMethod(getDeleteModelMethod()) + .addMethod(getDeployModelMethod()) + .addMethod(getUndeployModelMethod()) + .addMethod(getExportModelMethod()) + .addMethod(getExportEvaluatedExamplesMethod()) + .addMethod(getGetModelEvaluationMethod()) + .addMethod(getListModelEvaluationsMethod()) + .build(); + } + } + } + return result; + } +} diff --git a/grpc-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceGrpc.java b/grpc-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceGrpc.java new file mode 100644 index 000000000..02b2f60b6 --- /dev/null +++ b/grpc-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceGrpc.java @@ -0,0 +1,592 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package com.google.cloud.automl.v1beta1; + +import static io.grpc.MethodDescriptor.generateFullMethodName; +import static io.grpc.stub.ClientCalls.asyncUnaryCall; +import static io.grpc.stub.ClientCalls.blockingUnaryCall; +import static io.grpc.stub.ClientCalls.futureUnaryCall; +import static io.grpc.stub.ServerCalls.asyncUnaryCall; +import static io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall; + +/** + * + * + * 
+ * AutoML Prediction API.
+ * On any input that is documented to expect a string parameter in
+ * snake_case or kebab-case, either of those cases is accepted.
+ *
+ */ +@javax.annotation.Generated( + value = "by gRPC proto compiler", + comments = "Source: google/cloud/automl/v1beta1/prediction_service.proto") +public final class PredictionServiceGrpc { + + private PredictionServiceGrpc() {} + + public static final String SERVICE_NAME = "google.cloud.automl.v1beta1.PredictionService"; + + // Static method descriptors that strictly reflect the proto. + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.PredictRequest, + com.google.cloud.automl.v1beta1.PredictResponse> + getPredictMethod; + + @io.grpc.stub.annotations.RpcMethod( + fullMethodName = SERVICE_NAME + '/' + "Predict", + requestType = com.google.cloud.automl.v1beta1.PredictRequest.class, + responseType = com.google.cloud.automl.v1beta1.PredictResponse.class, + methodType = io.grpc.MethodDescriptor.MethodType.UNARY) + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.PredictRequest, + com.google.cloud.automl.v1beta1.PredictResponse> + getPredictMethod() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.PredictRequest, + com.google.cloud.automl.v1beta1.PredictResponse> + getPredictMethod; + if ((getPredictMethod = PredictionServiceGrpc.getPredictMethod) == null) { + synchronized (PredictionServiceGrpc.class) { + if ((getPredictMethod = PredictionServiceGrpc.getPredictMethod) == null) { + PredictionServiceGrpc.getPredictMethod = + getPredictMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName(generateFullMethodName(SERVICE_NAME, "Predict")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.PredictRequest.getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.PredictResponse.getDefaultInstance())) + .setSchemaDescriptor(new PredictionServiceMethodDescriptorSupplier("Predict")) + .build(); + } + } + } + return getPredictMethod; + } + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.BatchPredictRequest, com.google.longrunning.Operation> + getBatchPredictMethod; + + @io.grpc.stub.annotations.RpcMethod( + fullMethodName = SERVICE_NAME + '/' + "BatchPredict", + requestType = com.google.cloud.automl.v1beta1.BatchPredictRequest.class, + responseType = com.google.longrunning.Operation.class, + methodType = io.grpc.MethodDescriptor.MethodType.UNARY) + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.BatchPredictRequest, com.google.longrunning.Operation> + getBatchPredictMethod() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.BatchPredictRequest, com.google.longrunning.Operation> + getBatchPredictMethod; + if ((getBatchPredictMethod = PredictionServiceGrpc.getBatchPredictMethod) == null) { + synchronized (PredictionServiceGrpc.class) { + if ((getBatchPredictMethod = PredictionServiceGrpc.getBatchPredictMethod) == null) { + PredictionServiceGrpc.getBatchPredictMethod = + getBatchPredictMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName(generateFullMethodName(SERVICE_NAME, "BatchPredict")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.BatchPredictRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.longrunning.Operation.getDefaultInstance())) + .setSchemaDescriptor( + new PredictionServiceMethodDescriptorSupplier("BatchPredict")) + .build(); + } + } + } + return getBatchPredictMethod; + } + + /** Creates a new async stub that supports all call types for the service */ + public static PredictionServiceStub newStub(io.grpc.Channel channel) { + io.grpc.stub.AbstractStub.StubFactory factory = + new io.grpc.stub.AbstractStub.StubFactory() { + @java.lang.Override + public PredictionServiceStub newStub( + io.grpc.Channel channel, io.grpc.CallOptions callOptions) { + return new PredictionServiceStub(channel, callOptions); + } + }; + return PredictionServiceStub.newStub(factory, channel); + } + + /** + * Creates a new blocking-style stub that supports unary and streaming output calls on the service + */ + public static PredictionServiceBlockingStub newBlockingStub(io.grpc.Channel channel) { + io.grpc.stub.AbstractStub.StubFactory factory = + new io.grpc.stub.AbstractStub.StubFactory() { + @java.lang.Override + public PredictionServiceBlockingStub newStub( + io.grpc.Channel channel, io.grpc.CallOptions callOptions) { + return new PredictionServiceBlockingStub(channel, callOptions); + } + }; + return PredictionServiceBlockingStub.newStub(factory, channel); + } + + /** Creates a new ListenableFuture-style stub that supports unary calls on the service */ + public static PredictionServiceFutureStub newFutureStub(io.grpc.Channel channel) { + io.grpc.stub.AbstractStub.StubFactory factory = + new io.grpc.stub.AbstractStub.StubFactory() { + @java.lang.Override + public PredictionServiceFutureStub newStub( + io.grpc.Channel channel, io.grpc.CallOptions callOptions) { + return new PredictionServiceFutureStub(channel, callOptions); + } + }; + return PredictionServiceFutureStub.newStub(factory, channel); + } + + /** + * + * + * 
+   * AutoML Prediction API.
+   * On any input that is documented to expect a string parameter in
+   * snake_case or kebab-case, either of those cases is accepted.
+   *
+ */ + public abstract static class PredictionServiceImplBase implements io.grpc.BindableService { + + /** + * + * + * 
+     * Perform an online prediction. The prediction result will be directly
+     * returned in the response.
+     * Available for following ML problems, and their expected request payloads:
+     * * Image Classification - Image in .JPEG, .GIF or .PNG format, image_bytes
+     *                          up to 30MB.
+     * * Image Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes
+     *                            up to 30MB.
+     * * Text Classification - TextSnippet, content up to 60,000 characters,
+     *                         UTF-8 encoded.
+     * * Text Extraction - TextSnippet, content up to 30,000 characters,
+     *                     UTF-8 NFC encoded.
+     * * Translation - TextSnippet, content up to 25,000 characters, UTF-8
+     *                 encoded.
+     * * Tables - Row, with column values matching the columns of the model,
+     *            up to 5MB. Not available for FORECASTING
+     * [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type].
+     * * Text Sentiment - TextSnippet, content up 500 characters, UTF-8
+     *                     encoded.
+     *
+ */ + public void predict( + com.google.cloud.automl.v1beta1.PredictRequest request, + io.grpc.stub.StreamObserver + responseObserver) { + asyncUnimplementedUnaryCall(getPredictMethod(), responseObserver); + } + + /** + * + * + * 
+     * Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch
+     * prediction result won't be immediately available in the response. Instead,
+     * a long running operation object is returned. User can poll the operation
+     * result via [GetOperation][google.longrunning.Operations.GetOperation]
+     * method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in
+     * the [response][google.longrunning.Operation.response] field.
+     * Available for following ML problems:
+     * * Image Classification
+     * * Image Object Detection
+     * * Video Classification
+     * * Video Object Tracking * Text Extraction
+     * * Tables
+     *
+ */ + public void batchPredict( + com.google.cloud.automl.v1beta1.BatchPredictRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnimplementedUnaryCall(getBatchPredictMethod(), responseObserver); + } + + @java.lang.Override + public final io.grpc.ServerServiceDefinition bindService() { + return io.grpc.ServerServiceDefinition.builder(getServiceDescriptor()) + .addMethod( + getPredictMethod(), + asyncUnaryCall( + new MethodHandlers< + com.google.cloud.automl.v1beta1.PredictRequest, + com.google.cloud.automl.v1beta1.PredictResponse>(this, METHODID_PREDICT))) + .addMethod( + getBatchPredictMethod(), + asyncUnaryCall( + new MethodHandlers< + com.google.cloud.automl.v1beta1.BatchPredictRequest, + com.google.longrunning.Operation>(this, METHODID_BATCH_PREDICT))) + .build(); + } + } + + /** + * + * + * 
+   * AutoML Prediction API.
+   * On any input that is documented to expect a string parameter in
+   * snake_case or kebab-case, either of those cases is accepted.
+   *
+ */ + public static final class PredictionServiceStub + extends io.grpc.stub.AbstractAsyncStub { + private PredictionServiceStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) { + super(channel, callOptions); + } + + @java.lang.Override + protected PredictionServiceStub build( + io.grpc.Channel channel, io.grpc.CallOptions callOptions) { + return new PredictionServiceStub(channel, callOptions); + } + + /** + * + * + * 
+     * Perform an online prediction. The prediction result will be directly
+     * returned in the response.
+     * Available for following ML problems, and their expected request payloads:
+     * * Image Classification - Image in .JPEG, .GIF or .PNG format, image_bytes
+     *                          up to 30MB.
+     * * Image Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes
+     *                            up to 30MB.
+     * * Text Classification - TextSnippet, content up to 60,000 characters,
+     *                         UTF-8 encoded.
+     * * Text Extraction - TextSnippet, content up to 30,000 characters,
+     *                     UTF-8 NFC encoded.
+     * * Translation - TextSnippet, content up to 25,000 characters, UTF-8
+     *                 encoded.
+     * * Tables - Row, with column values matching the columns of the model,
+     *            up to 5MB. Not available for FORECASTING
+     * [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type].
+     * * Text Sentiment - TextSnippet, content up 500 characters, UTF-8
+     *                     encoded.
+     *
+ */ + public void predict( + com.google.cloud.automl.v1beta1.PredictRequest request, + io.grpc.stub.StreamObserver + responseObserver) { + asyncUnaryCall( + getChannel().newCall(getPredictMethod(), getCallOptions()), request, responseObserver); + } + + /** + * + * + * 
+     * Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch
+     * prediction result won't be immediately available in the response. Instead,
+     * a long running operation object is returned. User can poll the operation
+     * result via [GetOperation][google.longrunning.Operations.GetOperation]
+     * method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in
+     * the [response][google.longrunning.Operation.response] field.
+     * Available for following ML problems:
+     * * Image Classification
+     * * Image Object Detection
+     * * Video Classification
+     * * Video Object Tracking * Text Extraction
+     * * Tables
+     *
+ */ + public void batchPredict( + com.google.cloud.automl.v1beta1.BatchPredictRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnaryCall( + getChannel().newCall(getBatchPredictMethod(), getCallOptions()), + request, + responseObserver); + } + } + + /** + * + * + * 
+   * AutoML Prediction API.
+   * On any input that is documented to expect a string parameter in
+   * snake_case or kebab-case, either of those cases is accepted.
+   *
+ */ + public static final class PredictionServiceBlockingStub + extends io.grpc.stub.AbstractBlockingStub { + private PredictionServiceBlockingStub( + io.grpc.Channel channel, io.grpc.CallOptions callOptions) { + super(channel, callOptions); + } + + @java.lang.Override + protected PredictionServiceBlockingStub build( + io.grpc.Channel channel, io.grpc.CallOptions callOptions) { + return new PredictionServiceBlockingStub(channel, callOptions); + } + + /** + * + * + * 
+     * Perform an online prediction. The prediction result will be directly
+     * returned in the response.
+     * Available for following ML problems, and their expected request payloads:
+     * * Image Classification - Image in .JPEG, .GIF or .PNG format, image_bytes
+     *                          up to 30MB.
+     * * Image Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes
+     *                            up to 30MB.
+     * * Text Classification - TextSnippet, content up to 60,000 characters,
+     *                         UTF-8 encoded.
+     * * Text Extraction - TextSnippet, content up to 30,000 characters,
+     *                     UTF-8 NFC encoded.
+     * * Translation - TextSnippet, content up to 25,000 characters, UTF-8
+     *                 encoded.
+     * * Tables - Row, with column values matching the columns of the model,
+     *            up to 5MB. Not available for FORECASTING
+     * [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type].
+     * * Text Sentiment - TextSnippet, content up 500 characters, UTF-8
+     *                     encoded.
+     *
+ */ + public com.google.cloud.automl.v1beta1.PredictResponse predict( + com.google.cloud.automl.v1beta1.PredictRequest request) { + return blockingUnaryCall(getChannel(), getPredictMethod(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch
+     * prediction result won't be immediately available in the response. Instead,
+     * a long running operation object is returned. User can poll the operation
+     * result via [GetOperation][google.longrunning.Operations.GetOperation]
+     * method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in
+     * the [response][google.longrunning.Operation.response] field.
+     * Available for following ML problems:
+     * * Image Classification
+     * * Image Object Detection
+     * * Video Classification
+     * * Video Object Tracking * Text Extraction
+     * * Tables
+     *
+ */ + public com.google.longrunning.Operation batchPredict( + com.google.cloud.automl.v1beta1.BatchPredictRequest request) { + return blockingUnaryCall(getChannel(), getBatchPredictMethod(), getCallOptions(), request); + } + } + + /** + * + * + * 
+   * AutoML Prediction API.
+   * On any input that is documented to expect a string parameter in
+   * snake_case or kebab-case, either of those cases is accepted.
+   *
+ */ + public static final class PredictionServiceFutureStub + extends io.grpc.stub.AbstractFutureStub { + private PredictionServiceFutureStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) { + super(channel, callOptions); + } + + @java.lang.Override + protected PredictionServiceFutureStub build( + io.grpc.Channel channel, io.grpc.CallOptions callOptions) { + return new PredictionServiceFutureStub(channel, callOptions); + } + + /** + * + * + * 
+     * Perform an online prediction. The prediction result will be directly
+     * returned in the response.
+     * Available for following ML problems, and their expected request payloads:
+     * * Image Classification - Image in .JPEG, .GIF or .PNG format, image_bytes
+     *                          up to 30MB.
+     * * Image Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes
+     *                            up to 30MB.
+     * * Text Classification - TextSnippet, content up to 60,000 characters,
+     *                         UTF-8 encoded.
+     * * Text Extraction - TextSnippet, content up to 30,000 characters,
+     *                     UTF-8 NFC encoded.
+     * * Translation - TextSnippet, content up to 25,000 characters, UTF-8
+     *                 encoded.
+     * * Tables - Row, with column values matching the columns of the model,
+     *            up to 5MB. Not available for FORECASTING
+     * [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type].
+     * * Text Sentiment - TextSnippet, content up 500 characters, UTF-8
+     *                     encoded.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture< + com.google.cloud.automl.v1beta1.PredictResponse> + predict(com.google.cloud.automl.v1beta1.PredictRequest request) { + return futureUnaryCall(getChannel().newCall(getPredictMethod(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch
+     * prediction result won't be immediately available in the response. Instead,
+     * a long running operation object is returned. User can poll the operation
+     * result via [GetOperation][google.longrunning.Operations.GetOperation]
+     * method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in
+     * the [response][google.longrunning.Operation.response] field.
+     * Available for following ML problems:
+     * * Image Classification
+     * * Image Object Detection
+     * * Video Classification
+     * * Video Object Tracking * Text Extraction
+     * * Tables
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture + batchPredict(com.google.cloud.automl.v1beta1.BatchPredictRequest request) { + return futureUnaryCall( + getChannel().newCall(getBatchPredictMethod(), getCallOptions()), request); + } + } + + private static final int METHODID_PREDICT = 0; + private static final int METHODID_BATCH_PREDICT = 1; + + private static final class MethodHandlers + implements io.grpc.stub.ServerCalls.UnaryMethod, + io.grpc.stub.ServerCalls.ServerStreamingMethod, + io.grpc.stub.ServerCalls.ClientStreamingMethod, + io.grpc.stub.ServerCalls.BidiStreamingMethod { + private final PredictionServiceImplBase serviceImpl; + private final int methodId; + + MethodHandlers(PredictionServiceImplBase serviceImpl, int methodId) { + this.serviceImpl = serviceImpl; + this.methodId = methodId; + } + + @java.lang.Override + @java.lang.SuppressWarnings("unchecked") + public void invoke(Req request, io.grpc.stub.StreamObserver responseObserver) { + switch (methodId) { + case METHODID_PREDICT: + serviceImpl.predict( + (com.google.cloud.automl.v1beta1.PredictRequest) request, + (io.grpc.stub.StreamObserver) + responseObserver); + break; + case METHODID_BATCH_PREDICT: + serviceImpl.batchPredict( + (com.google.cloud.automl.v1beta1.BatchPredictRequest) request, + (io.grpc.stub.StreamObserver) responseObserver); + break; + default: + throw new AssertionError(); + } + } + + @java.lang.Override + @java.lang.SuppressWarnings("unchecked") + public io.grpc.stub.StreamObserver invoke( + io.grpc.stub.StreamObserver responseObserver) { + switch (methodId) { + default: + throw new AssertionError(); + } + } + } + + private abstract static class PredictionServiceBaseDescriptorSupplier + implements io.grpc.protobuf.ProtoFileDescriptorSupplier, + io.grpc.protobuf.ProtoServiceDescriptorSupplier { + PredictionServiceBaseDescriptorSupplier() {} + + @java.lang.Override + public com.google.protobuf.Descriptors.FileDescriptor getFileDescriptor() { + return com.google.cloud.automl.v1beta1.PredictionServiceProto.getDescriptor(); + } + + @java.lang.Override + public com.google.protobuf.Descriptors.ServiceDescriptor getServiceDescriptor() { + return getFileDescriptor().findServiceByName("PredictionService"); + } + } + + private static final class PredictionServiceFileDescriptorSupplier + extends PredictionServiceBaseDescriptorSupplier { + PredictionServiceFileDescriptorSupplier() {} + } + + private static final class PredictionServiceMethodDescriptorSupplier + extends PredictionServiceBaseDescriptorSupplier + implements io.grpc.protobuf.ProtoMethodDescriptorSupplier { + private final String methodName; + + PredictionServiceMethodDescriptorSupplier(String methodName) { + this.methodName = methodName; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.MethodDescriptor getMethodDescriptor() { + return getServiceDescriptor().findMethodByName(methodName); + } + } + + private static volatile io.grpc.ServiceDescriptor serviceDescriptor; + + public static io.grpc.ServiceDescriptor getServiceDescriptor() { + io.grpc.ServiceDescriptor result = serviceDescriptor; + if (result == null) { + synchronized (PredictionServiceGrpc.class) { + result = serviceDescriptor; + if (result == null) { + serviceDescriptor = + result = + io.grpc.ServiceDescriptor.newBuilder(SERVICE_NAME) + .setSchemaDescriptor(new PredictionServiceFileDescriptorSupplier()) + .addMethod(getPredictMethod()) + .addMethod(getBatchPredictMethod()) + .build(); + } + } + } + return result; + } +} diff --git a/pom.xml b/pom.xml index e82d7b45d..141cca784 100644 --- a/pom.xml +++ b/pom.xml @@ -78,11 +78,21 @@ + + com.google.api.grpc + proto-google-cloud-automl-v1beta1 + 0.82.3-SNAPSHOT + com.google.api.grpc proto-google-cloud-automl-v1 1.1.3-SNAPSHOT + + com.google.api.grpc + grpc-google-cloud-automl-v1beta1 + 0.82.3-SNAPSHOT + com.google.api.grpc grpc-google-cloud-automl-v1 @@ -178,7 +188,9 @@ + proto-google-cloud-automl-v1beta1 proto-google-cloud-automl-v1 + grpc-google-cloud-automl-v1beta1 grpc-google-cloud-automl-v1 google-cloud-automl google-cloud-automl-bom diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/AnnotationPayload.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/AnnotationPayload.java index 725a476ad..2d23625c6 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/AnnotationPayload.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/AnnotationPayload.java @@ -278,7 +278,6 @@ public DetailCase getDetailCase() { * * @return Whether the translation field is set. */ - @java.lang.Override public boolean hasTranslation() { return detailCase_ == 2; } @@ -293,7 +292,6 @@ public boolean hasTranslation() { * * @return The translation. */ - @java.lang.Override public com.google.cloud.automl.v1.TranslationAnnotation getTranslation() { if (detailCase_ == 2) { return (com.google.cloud.automl.v1.TranslationAnnotation) detail_; @@ -309,7 +307,6 @@ public com.google.cloud.automl.v1.TranslationAnnotation getTranslation() { * * .google.cloud.automl.v1.TranslationAnnotation translation = 2; */ - @java.lang.Override public com.google.cloud.automl.v1.TranslationAnnotationOrBuilder getTranslationOrBuilder() { if (detailCase_ == 2) { return (com.google.cloud.automl.v1.TranslationAnnotation) detail_; @@ -329,7 +326,6 @@ public com.google.cloud.automl.v1.TranslationAnnotationOrBuilder getTranslationO * * @return Whether the classification field is set. */ - @java.lang.Override public boolean hasClassification() { return detailCase_ == 3; } @@ -344,7 +340,6 @@ public boolean hasClassification() { * * @return The classification. */ - @java.lang.Override public com.google.cloud.automl.v1.ClassificationAnnotation getClassification() { if (detailCase_ == 3) { return (com.google.cloud.automl.v1.ClassificationAnnotation) detail_; @@ -360,7 +355,6 @@ public com.google.cloud.automl.v1.ClassificationAnnotation getClassification() { * * .google.cloud.automl.v1.ClassificationAnnotation classification = 3; */ - @java.lang.Override public com.google.cloud.automl.v1.ClassificationAnnotationOrBuilder getClassificationOrBuilder() { if (detailCase_ == 3) { return (com.google.cloud.automl.v1.ClassificationAnnotation) detail_; @@ -380,7 +374,6 @@ public com.google.cloud.automl.v1.ClassificationAnnotationOrBuilder getClassific * * @return Whether the imageObjectDetection field is set. */ - @java.lang.Override public boolean hasImageObjectDetection() { return detailCase_ == 4; } @@ -395,7 +388,6 @@ public boolean hasImageObjectDetection() { * * @return The imageObjectDetection. */ - @java.lang.Override public com.google.cloud.automl.v1.ImageObjectDetectionAnnotation getImageObjectDetection() { if (detailCase_ == 4) { return (com.google.cloud.automl.v1.ImageObjectDetectionAnnotation) detail_; @@ -411,7 +403,6 @@ public com.google.cloud.automl.v1.ImageObjectDetectionAnnotation getImageObjectD * * .google.cloud.automl.v1.ImageObjectDetectionAnnotation image_object_detection = 4; */ - @java.lang.Override public com.google.cloud.automl.v1.ImageObjectDetectionAnnotationOrBuilder getImageObjectDetectionOrBuilder() { if (detailCase_ == 4) { @@ -432,7 +423,6 @@ public com.google.cloud.automl.v1.ImageObjectDetectionAnnotation getImageObjectD * * @return Whether the textExtraction field is set. */ - @java.lang.Override public boolean hasTextExtraction() { return detailCase_ == 6; } @@ -447,7 +437,6 @@ public boolean hasTextExtraction() { * * @return The textExtraction. */ - @java.lang.Override public com.google.cloud.automl.v1.TextExtractionAnnotation getTextExtraction() { if (detailCase_ == 6) { return (com.google.cloud.automl.v1.TextExtractionAnnotation) detail_; @@ -463,7 +452,6 @@ public com.google.cloud.automl.v1.TextExtractionAnnotation getTextExtraction() { * * .google.cloud.automl.v1.TextExtractionAnnotation text_extraction = 6; */ - @java.lang.Override public com.google.cloud.automl.v1.TextExtractionAnnotationOrBuilder getTextExtractionOrBuilder() { if (detailCase_ == 6) { return (com.google.cloud.automl.v1.TextExtractionAnnotation) detail_; @@ -483,7 +471,6 @@ public com.google.cloud.automl.v1.TextExtractionAnnotationOrBuilder getTextExtra * * @return Whether the textSentiment field is set. */ - @java.lang.Override public boolean hasTextSentiment() { return detailCase_ == 7; } @@ -498,7 +485,6 @@ public boolean hasTextSentiment() { * * @return The textSentiment. */ - @java.lang.Override public com.google.cloud.automl.v1.TextSentimentAnnotation getTextSentiment() { if (detailCase_ == 7) { return (com.google.cloud.automl.v1.TextSentimentAnnotation) detail_; @@ -514,7 +500,6 @@ public com.google.cloud.automl.v1.TextSentimentAnnotation getTextSentiment() { * * .google.cloud.automl.v1.TextSentimentAnnotation text_sentiment = 7; */ - @java.lang.Override public com.google.cloud.automl.v1.TextSentimentAnnotationOrBuilder getTextSentimentOrBuilder() { if (detailCase_ == 7) { return (com.google.cloud.automl.v1.TextSentimentAnnotation) detail_; @@ -537,7 +522,6 @@ public com.google.cloud.automl.v1.TextSentimentAnnotationOrBuilder getTextSentim * * @return The annotationSpecId. */ - @java.lang.Override public java.lang.String getAnnotationSpecId() { java.lang.Object ref = annotationSpecId_; if (ref instanceof java.lang.String) { @@ -562,7 +546,6 @@ public java.lang.String getAnnotationSpecId() { * * @return The bytes for annotationSpecId. */ - @java.lang.Override public com.google.protobuf.ByteString getAnnotationSpecIdBytes() { java.lang.Object ref = annotationSpecId_; if (ref instanceof java.lang.String) { @@ -593,7 +576,6 @@ public com.google.protobuf.ByteString getAnnotationSpecIdBytes() { * * @return The displayName. */ - @java.lang.Override public java.lang.String getDisplayName() { java.lang.Object ref = displayName_; if (ref instanceof java.lang.String) { @@ -621,7 +603,6 @@ public java.lang.String getDisplayName() { * * @return The bytes for displayName. */ - @java.lang.Override public com.google.protobuf.ByteString getDisplayNameBytes() { java.lang.Object ref = displayName_; if (ref instanceof java.lang.String) { @@ -1149,7 +1130,6 @@ public Builder clearDetail() { * * @return Whether the translation field is set. */ - @java.lang.Override public boolean hasTranslation() { return detailCase_ == 2; } @@ -1164,7 +1144,6 @@ public boolean hasTranslation() { * * @return The translation. */ - @java.lang.Override public com.google.cloud.automl.v1.TranslationAnnotation getTranslation() { if (translationBuilder_ == null) { if (detailCase_ == 2) { @@ -1297,7 +1276,6 @@ public com.google.cloud.automl.v1.TranslationAnnotation.Builder getTranslationBu * * .google.cloud.automl.v1.TranslationAnnotation translation = 2; */ - @java.lang.Override public com.google.cloud.automl.v1.TranslationAnnotationOrBuilder getTranslationOrBuilder() { if ((detailCase_ == 2) && (translationBuilder_ != null)) { return translationBuilder_.getMessageOrBuilder(); @@ -1358,7 +1336,6 @@ public com.google.cloud.automl.v1.TranslationAnnotationOrBuilder getTranslationO * * @return Whether the classification field is set. */ - @java.lang.Override public boolean hasClassification() { return detailCase_ == 3; } @@ -1373,7 +1350,6 @@ public boolean hasClassification() { * * @return The classification. */ - @java.lang.Override public com.google.cloud.automl.v1.ClassificationAnnotation getClassification() { if (classificationBuilder_ == null) { if (detailCase_ == 3) { @@ -1507,7 +1483,6 @@ public com.google.cloud.automl.v1.ClassificationAnnotation.Builder getClassifica * * .google.cloud.automl.v1.ClassificationAnnotation classification = 3; */ - @java.lang.Override public com.google.cloud.automl.v1.ClassificationAnnotationOrBuilder getClassificationOrBuilder() { if ((detailCase_ == 3) && (classificationBuilder_ != null)) { @@ -1570,7 +1545,6 @@ public com.google.cloud.automl.v1.ClassificationAnnotation.Builder getClassifica * * @return Whether the imageObjectDetection field is set. */ - @java.lang.Override public boolean hasImageObjectDetection() { return detailCase_ == 4; } @@ -1586,7 +1560,6 @@ public boolean hasImageObjectDetection() { * * @return The imageObjectDetection. */ - @java.lang.Override public com.google.cloud.automl.v1.ImageObjectDetectionAnnotation getImageObjectDetection() { if (imageObjectDetectionBuilder_ == null) { if (detailCase_ == 4) { @@ -1729,7 +1702,6 @@ public Builder clearImageObjectDetection() { * .google.cloud.automl.v1.ImageObjectDetectionAnnotation image_object_detection = 4; * */ - @java.lang.Override public com.google.cloud.automl.v1.ImageObjectDetectionAnnotationOrBuilder getImageObjectDetectionOrBuilder() { if ((detailCase_ == 4) && (imageObjectDetectionBuilder_ != null)) { @@ -1792,7 +1764,6 @@ public Builder clearImageObjectDetection() { * * @return Whether the textExtraction field is set. */ - @java.lang.Override public boolean hasTextExtraction() { return detailCase_ == 6; } @@ -1807,7 +1778,6 @@ public boolean hasTextExtraction() { * * @return The textExtraction. */ - @java.lang.Override public com.google.cloud.automl.v1.TextExtractionAnnotation getTextExtraction() { if (textExtractionBuilder_ == null) { if (detailCase_ == 6) { @@ -1941,7 +1911,6 @@ public com.google.cloud.automl.v1.TextExtractionAnnotation.Builder getTextExtrac * * .google.cloud.automl.v1.TextExtractionAnnotation text_extraction = 6; */ - @java.lang.Override public com.google.cloud.automl.v1.TextExtractionAnnotationOrBuilder getTextExtractionOrBuilder() { if ((detailCase_ == 6) && (textExtractionBuilder_ != null)) { @@ -2003,7 +1972,6 @@ public com.google.cloud.automl.v1.TextExtractionAnnotation.Builder getTextExtrac * * @return Whether the textSentiment field is set. */ - @java.lang.Override public boolean hasTextSentiment() { return detailCase_ == 7; } @@ -2018,7 +1986,6 @@ public boolean hasTextSentiment() { * * @return The textSentiment. */ - @java.lang.Override public com.google.cloud.automl.v1.TextSentimentAnnotation getTextSentiment() { if (textSentimentBuilder_ == null) { if (detailCase_ == 7) { @@ -2151,7 +2118,6 @@ public com.google.cloud.automl.v1.TextSentimentAnnotation.Builder getTextSentime * * .google.cloud.automl.v1.TextSentimentAnnotation text_sentiment = 7; */ - @java.lang.Override public com.google.cloud.automl.v1.TextSentimentAnnotationOrBuilder getTextSentimentOrBuilder() { if ((detailCase_ == 7) && (textSentimentBuilder_ != null)) { return textSentimentBuilder_.getMessageOrBuilder(); diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/AnnotationSpec.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/AnnotationSpec.java index 4e5a1d486..614b5bb84 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/AnnotationSpec.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/AnnotationSpec.java @@ -139,7 +139,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The name. */ - @java.lang.Override public java.lang.String getName() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { @@ -164,7 +163,6 @@ public java.lang.String getName() { * * @return The bytes for name. */ - @java.lang.Override public com.google.protobuf.ByteString getNameBytes() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { @@ -191,7 +189,6 @@ public com.google.protobuf.ByteString getNameBytes() { * * @return The displayName. */ - @java.lang.Override public java.lang.String getDisplayName() { java.lang.Object ref = displayName_; if (ref instanceof java.lang.String) { @@ -215,7 +212,6 @@ public java.lang.String getDisplayName() { * * @return The bytes for displayName. */ - @java.lang.Override public com.google.protobuf.ByteString getDisplayNameBytes() { java.lang.Object ref = displayName_; if (ref instanceof java.lang.String) { @@ -242,7 +238,6 @@ public com.google.protobuf.ByteString getDisplayNameBytes() { * * @return The exampleCount. */ - @java.lang.Override public int getExampleCount() { return exampleCount_; } @@ -834,7 +829,6 @@ public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) { * * @return The exampleCount. */ - @java.lang.Override public int getExampleCount() { return exampleCount_; } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BatchPredictInputConfig.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BatchPredictInputConfig.java index d985372b9..0bf82ec32 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BatchPredictInputConfig.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BatchPredictInputConfig.java @@ -381,7 +381,6 @@ public SourceCase getSourceCase() { * * @return Whether the gcsSource field is set. */ - @java.lang.Override public boolean hasGcsSource() { return sourceCase_ == 1; } @@ -398,7 +397,6 @@ public boolean hasGcsSource() { * * @return The gcsSource. */ - @java.lang.Override public com.google.cloud.automl.v1.GcsSource getGcsSource() { if (sourceCase_ == 1) { return (com.google.cloud.automl.v1.GcsSource) source_; @@ -416,7 +414,6 @@ public com.google.cloud.automl.v1.GcsSource getGcsSource() { * .google.cloud.automl.v1.GcsSource gcs_source = 1 [(.google.api.field_behavior) = REQUIRED]; * */ - @java.lang.Override public com.google.cloud.automl.v1.GcsSourceOrBuilder getGcsSourceOrBuilder() { if (sourceCase_ == 1) { return (com.google.cloud.automl.v1.GcsSource) source_; @@ -1008,7 +1005,6 @@ public Builder clearSource() { * * @return Whether the gcsSource field is set. */ - @java.lang.Override public boolean hasGcsSource() { return sourceCase_ == 1; } @@ -1025,7 +1021,6 @@ public boolean hasGcsSource() { * * @return The gcsSource. */ - @java.lang.Override public com.google.cloud.automl.v1.GcsSource getGcsSource() { if (gcsSourceBuilder_ == null) { if (sourceCase_ == 1) { @@ -1169,7 +1164,6 @@ public com.google.cloud.automl.v1.GcsSource.Builder getGcsSourceBuilder() { * .google.cloud.automl.v1.GcsSource gcs_source = 1 [(.google.api.field_behavior) = REQUIRED]; * */ - @java.lang.Override public com.google.cloud.automl.v1.GcsSourceOrBuilder getGcsSourceOrBuilder() { if ((sourceCase_ == 1) && (gcsSourceBuilder_ != null)) { return gcsSourceBuilder_.getMessageOrBuilder(); diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BatchPredictOperationMetadata.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BatchPredictOperationMetadata.java index c39b6d357..0053c7263 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BatchPredictOperationMetadata.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BatchPredictOperationMetadata.java @@ -774,7 +774,6 @@ public Builder clearOutputLocation() { * * @return The gcsOutputDirectory. */ - @java.lang.Override public java.lang.String getGcsOutputDirectory() { java.lang.Object ref = ""; if (outputLocationCase_ == 1) { @@ -803,7 +802,6 @@ public java.lang.String getGcsOutputDirectory() { * * @return The bytes for gcsOutputDirectory. */ - @java.lang.Override public com.google.protobuf.ByteString getGcsOutputDirectoryBytes() { java.lang.Object ref = ""; if (outputLocationCase_ == 1) { @@ -957,7 +955,6 @@ public com.google.protobuf.Parser getParserForType() { * * @return Whether the inputConfig field is set. */ - @java.lang.Override public boolean hasInputConfig() { return inputConfig_ != null; } @@ -973,7 +970,6 @@ public boolean hasInputConfig() { * * @return The inputConfig. */ - @java.lang.Override public com.google.cloud.automl.v1.BatchPredictInputConfig getInputConfig() { return inputConfig_ == null ? com.google.cloud.automl.v1.BatchPredictInputConfig.getDefaultInstance() @@ -989,7 +985,6 @@ public com.google.cloud.automl.v1.BatchPredictInputConfig getInputConfig() { * * .google.cloud.automl.v1.BatchPredictInputConfig input_config = 1; */ - @java.lang.Override public com.google.cloud.automl.v1.BatchPredictInputConfigOrBuilder getInputConfigOrBuilder() { return getInputConfig(); } @@ -1010,7 +1005,6 @@ public com.google.cloud.automl.v1.BatchPredictInputConfigOrBuilder getInputConfi * * @return Whether the outputInfo field is set. */ - @java.lang.Override public boolean hasOutputInfo() { return outputInfo_ != null; } @@ -1027,7 +1021,6 @@ public boolean hasOutputInfo() { * * @return The outputInfo. */ - @java.lang.Override public com.google.cloud.automl.v1.BatchPredictOperationMetadata.BatchPredictOutputInfo getOutputInfo() { return outputInfo_ == null @@ -1046,7 +1039,6 @@ public boolean hasOutputInfo() { * .google.cloud.automl.v1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2; * */ - @java.lang.Override public com.google.cloud.automl.v1.BatchPredictOperationMetadata.BatchPredictOutputInfoOrBuilder getOutputInfoOrBuilder() { return getOutputInfo(); diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BatchPredictOutputConfig.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BatchPredictOutputConfig.java index 2dedd3620..455002435 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BatchPredictOutputConfig.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BatchPredictOutputConfig.java @@ -417,7 +417,6 @@ public DestinationCase getDestinationCase() { * * @return Whether the gcsDestination field is set. */ - @java.lang.Override public boolean hasGcsDestination() { return destinationCase_ == 1; } @@ -435,7 +434,6 @@ public boolean hasGcsDestination() { * * @return The gcsDestination. */ - @java.lang.Override public com.google.cloud.automl.v1.GcsDestination getGcsDestination() { if (destinationCase_ == 1) { return (com.google.cloud.automl.v1.GcsDestination) destination_; @@ -454,7 +452,6 @@ public com.google.cloud.automl.v1.GcsDestination getGcsDestination() { * .google.cloud.automl.v1.GcsDestination gcs_destination = 1 [(.google.api.field_behavior) = REQUIRED]; * */ - @java.lang.Override public com.google.cloud.automl.v1.GcsDestinationOrBuilder getGcsDestinationOrBuilder() { if (destinationCase_ == 1) { return (com.google.cloud.automl.v1.GcsDestination) destination_; @@ -1082,7 +1079,6 @@ public Builder clearDestination() { * * @return Whether the gcsDestination field is set. */ - @java.lang.Override public boolean hasGcsDestination() { return destinationCase_ == 1; } @@ -1100,7 +1096,6 @@ public boolean hasGcsDestination() { * * @return The gcsDestination. */ - @java.lang.Override public com.google.cloud.automl.v1.GcsDestination getGcsDestination() { if (gcsDestinationBuilder_ == null) { if (destinationCase_ == 1) { @@ -1251,7 +1246,6 @@ public com.google.cloud.automl.v1.GcsDestination.Builder getGcsDestinationBuilde * .google.cloud.automl.v1.GcsDestination gcs_destination = 1 [(.google.api.field_behavior) = REQUIRED]; * */ - @java.lang.Override public com.google.cloud.automl.v1.GcsDestinationOrBuilder getGcsDestinationOrBuilder() { if ((destinationCase_ == 1) && (gcsDestinationBuilder_ != null)) { return gcsDestinationBuilder_.getMessageOrBuilder(); diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BatchPredictRequest.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BatchPredictRequest.java index b5c79ea14..b0af33733 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BatchPredictRequest.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BatchPredictRequest.java @@ -185,7 +185,6 @@ protected com.google.protobuf.MapField internalGetMapField(int number) { * * @return The name. */ - @java.lang.Override public java.lang.String getName() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { @@ -210,7 +209,6 @@ public java.lang.String getName() { * * @return The bytes for name. */ - @java.lang.Override public com.google.protobuf.ByteString getNameBytes() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { @@ -238,7 +236,6 @@ public com.google.protobuf.ByteString getNameBytes() { * * @return Whether the inputConfig field is set. */ - @java.lang.Override public boolean hasInputConfig() { return inputConfig_ != null; } @@ -255,7 +252,6 @@ public boolean hasInputConfig() { * * @return The inputConfig. */ - @java.lang.Override public com.google.cloud.automl.v1.BatchPredictInputConfig getInputConfig() { return inputConfig_ == null ? com.google.cloud.automl.v1.BatchPredictInputConfig.getDefaultInstance() @@ -272,7 +268,6 @@ public com.google.cloud.automl.v1.BatchPredictInputConfig getInputConfig() { * .google.cloud.automl.v1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; * */ - @java.lang.Override public com.google.cloud.automl.v1.BatchPredictInputConfigOrBuilder getInputConfigOrBuilder() { return getInputConfig(); } @@ -293,7 +288,6 @@ public com.google.cloud.automl.v1.BatchPredictInputConfigOrBuilder getInputConfi * * @return Whether the outputConfig field is set. */ - @java.lang.Override public boolean hasOutputConfig() { return outputConfig_ != null; } @@ -311,7 +305,6 @@ public boolean hasOutputConfig() { * * @return The outputConfig. */ - @java.lang.Override public com.google.cloud.automl.v1.BatchPredictOutputConfig getOutputConfig() { return outputConfig_ == null ? com.google.cloud.automl.v1.BatchPredictOutputConfig.getDefaultInstance() @@ -329,7 +322,6 @@ public com.google.cloud.automl.v1.BatchPredictOutputConfig getOutputConfig() { * .google.cloud.automl.v1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED]; * */ - @java.lang.Override public com.google.cloud.automl.v1.BatchPredictOutputConfigOrBuilder getOutputConfigOrBuilder() { return getOutputConfig(); } @@ -432,7 +424,6 @@ public int getParamsCount() { * * map<string, string> params = 5; */ - @java.lang.Override public boolean containsParams(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); @@ -440,7 +431,6 @@ public boolean containsParams(java.lang.String key) { return internalGetParams().getMap().containsKey(key); } /** Use {@link #getParamsMap()} instead. */ - @java.lang.Override @java.lang.Deprecated public java.util.Map getParams() { return getParamsMap(); @@ -518,7 +508,6 @@ public java.util.Map getParams() { * * map<string, string> params = 5; */ - @java.lang.Override public java.util.Map getParamsMap() { return internalGetParams().getMap(); } @@ -595,7 +584,6 @@ public java.util.Map getParamsMap() { * * map<string, string> params = 5; */ - @java.lang.Override public java.lang.String getParamsOrDefault(java.lang.String key, java.lang.String defaultValue) { if (key == null) { throw new java.lang.NullPointerException(); @@ -676,7 +664,6 @@ public java.lang.String getParamsOrDefault(java.lang.String key, java.lang.Strin * * map<string, string> params = 5; */ - @java.lang.Override public java.lang.String getParamsOrThrow(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); @@ -1735,7 +1722,6 @@ public int getParamsCount() { * * map<string, string> params = 5; */ - @java.lang.Override public boolean containsParams(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); @@ -1743,7 +1729,6 @@ public boolean containsParams(java.lang.String key) { return internalGetParams().getMap().containsKey(key); } /** Use {@link #getParamsMap()} instead. */ - @java.lang.Override @java.lang.Deprecated public java.util.Map getParams() { return getParamsMap(); @@ -1821,7 +1806,6 @@ public java.util.Map getParams() { * * map<string, string> params = 5; */ - @java.lang.Override public java.util.Map getParamsMap() { return internalGetParams().getMap(); } @@ -1898,7 +1882,6 @@ public java.util.Map getParamsMap() { * * map<string, string> params = 5; */ - @java.lang.Override public java.lang.String getParamsOrDefault( java.lang.String key, java.lang.String defaultValue) { if (key == null) { @@ -1980,7 +1963,6 @@ public java.lang.String getParamsOrDefault( * * map<string, string> params = 5; */ - @java.lang.Override public java.lang.String getParamsOrThrow(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BatchPredictResult.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BatchPredictResult.java index dbb32814d..9dc76a46a 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BatchPredictResult.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BatchPredictResult.java @@ -171,7 +171,6 @@ public int getMetadataCount() { * * map<string, string> metadata = 1; */ - @java.lang.Override public boolean containsMetadata(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); @@ -179,7 +178,6 @@ public boolean containsMetadata(java.lang.String key) { return internalGetMetadata().getMap().containsKey(key); } /** Use {@link #getMetadataMap()} instead. */ - @java.lang.Override @java.lang.Deprecated public java.util.Map getMetadata() { return getMetadataMap(); @@ -199,7 +197,6 @@ public java.util.Map getMetadata() { * * map<string, string> metadata = 1; */ - @java.lang.Override public java.util.Map getMetadataMap() { return internalGetMetadata().getMap(); } @@ -218,7 +215,6 @@ public java.util.Map getMetadataMap() { * * map<string, string> metadata = 1; */ - @java.lang.Override public java.lang.String getMetadataOrDefault( java.lang.String key, java.lang.String defaultValue) { if (key == null) { @@ -242,7 +238,6 @@ public java.lang.String getMetadataOrDefault( * * map<string, string> metadata = 1; */ - @java.lang.Override public java.lang.String getMetadataOrThrow(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); @@ -641,7 +636,6 @@ public int getMetadataCount() { * * map<string, string> metadata = 1; */ - @java.lang.Override public boolean containsMetadata(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); @@ -649,7 +643,6 @@ public boolean containsMetadata(java.lang.String key) { return internalGetMetadata().getMap().containsKey(key); } /** Use {@link #getMetadataMap()} instead. */ - @java.lang.Override @java.lang.Deprecated public java.util.Map getMetadata() { return getMetadataMap(); @@ -669,7 +662,6 @@ public java.util.Map getMetadata() { * * map<string, string> metadata = 1; */ - @java.lang.Override public java.util.Map getMetadataMap() { return internalGetMetadata().getMap(); } @@ -688,7 +680,6 @@ public java.util.Map getMetadataMap() { * * map<string, string> metadata = 1; */ - @java.lang.Override public java.lang.String getMetadataOrDefault( java.lang.String key, java.lang.String defaultValue) { if (key == null) { @@ -712,7 +703,6 @@ public java.lang.String getMetadataOrDefault( * * map<string, string> metadata = 1; */ - @java.lang.Override public java.lang.String getMetadataOrThrow(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BoundingBoxMetricsEntry.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BoundingBoxMetricsEntry.java index 91d10f159..c78eb7eba 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BoundingBoxMetricsEntry.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BoundingBoxMetricsEntry.java @@ -311,7 +311,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The confidenceThreshold. */ - @java.lang.Override public float getConfidenceThreshold() { return confidenceThreshold_; } @@ -329,7 +328,6 @@ public float getConfidenceThreshold() { * * @return The recall. */ - @java.lang.Override public float getRecall() { return recall_; } @@ -347,7 +345,6 @@ public float getRecall() { * * @return The precision. */ - @java.lang.Override public float getPrecision() { return precision_; } @@ -365,7 +362,6 @@ public float getPrecision() { * * @return The f1Score. */ - @java.lang.Override public float getF1Score() { return f1Score_; } @@ -772,7 +768,6 @@ public Builder mergeFrom( * * @return The confidenceThreshold. */ - @java.lang.Override public float getConfidenceThreshold() { return confidenceThreshold_; } @@ -824,7 +819,6 @@ public Builder clearConfidenceThreshold() { * * @return The recall. */ - @java.lang.Override public float getRecall() { return recall_; } @@ -876,7 +870,6 @@ public Builder clearRecall() { * * @return The precision. */ - @java.lang.Override public float getPrecision() { return precision_; } @@ -928,7 +921,6 @@ public Builder clearPrecision() { * * @return The f1Score. */ - @java.lang.Override public float getF1Score() { return f1Score_; } @@ -1038,7 +1030,6 @@ public com.google.protobuf.Parser getParserForType() { * * @return The iouThreshold. */ - @java.lang.Override public float getIouThreshold() { return iouThreshold_; } @@ -1056,7 +1047,6 @@ public float getIouThreshold() { * * @return The meanAveragePrecision. */ - @java.lang.Override public float getMeanAveragePrecision() { return meanAveragePrecision_; } @@ -1077,7 +1067,6 @@ public float getMeanAveragePrecision() { * repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; * */ - @java.lang.Override public java.util.List getConfidenceMetricsEntriesList() { return confidenceMetricsEntries_; @@ -1095,7 +1084,6 @@ public float getMeanAveragePrecision() { * repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; * */ - @java.lang.Override public java.util.List< ? extends com.google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder> @@ -1115,7 +1103,6 @@ public float getMeanAveragePrecision() { * repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; * */ - @java.lang.Override public int getConfidenceMetricsEntriesCount() { return confidenceMetricsEntries_.size(); } @@ -1132,7 +1119,6 @@ public int getConfidenceMetricsEntriesCount() { * repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; * */ - @java.lang.Override public com.google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry getConfidenceMetricsEntries(int index) { return confidenceMetricsEntries_.get(index); @@ -1150,7 +1136,6 @@ public int getConfidenceMetricsEntriesCount() { * repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; * */ - @java.lang.Override public com.google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder getConfidenceMetricsEntriesOrBuilder(int index) { return confidenceMetricsEntries_.get(index); @@ -1566,7 +1551,6 @@ public Builder mergeFrom( * * @return The iouThreshold. */ - @java.lang.Override public float getIouThreshold() { return iouThreshold_; } @@ -1620,7 +1604,6 @@ public Builder clearIouThreshold() { * * @return The meanAveragePrecision. */ - @java.lang.Override public float getMeanAveragePrecision() { return meanAveragePrecision_; } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BoundingPoly.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BoundingPoly.java index cac83c27e..9de6fda48 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BoundingPoly.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/BoundingPoly.java @@ -133,7 +133,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * repeated .google.cloud.automl.v1.NormalizedVertex normalized_vertices = 2; */ - @java.lang.Override public java.util.List getNormalizedVerticesList() { return normalizedVertices_; } @@ -146,7 +145,6 @@ public java.util.List getNormalized * * repeated .google.cloud.automl.v1.NormalizedVertex normalized_vertices = 2; */ - @java.lang.Override public java.util.List getNormalizedVerticesOrBuilderList() { return normalizedVertices_; @@ -160,7 +158,6 @@ public java.util.List getNormalized * * repeated .google.cloud.automl.v1.NormalizedVertex normalized_vertices = 2; */ - @java.lang.Override public int getNormalizedVerticesCount() { return normalizedVertices_.size(); } @@ -173,7 +170,6 @@ public int getNormalizedVerticesCount() { * * repeated .google.cloud.automl.v1.NormalizedVertex normalized_vertices = 2; */ - @java.lang.Override public com.google.cloud.automl.v1.NormalizedVertex getNormalizedVertices(int index) { return normalizedVertices_.get(index); } @@ -186,7 +182,6 @@ public com.google.cloud.automl.v1.NormalizedVertex getNormalizedVertices(int ind * * repeated .google.cloud.automl.v1.NormalizedVertex normalized_vertices = 2; */ - @java.lang.Override public com.google.cloud.automl.v1.NormalizedVertexOrBuilder getNormalizedVerticesOrBuilder( int index) { return normalizedVertices_.get(index); diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ClassificationAnnotation.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ClassificationAnnotation.java index 7a0b4ed82..036538a22 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ClassificationAnnotation.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ClassificationAnnotation.java @@ -124,7 +124,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The score. */ - @java.lang.Override public float getScore() { return score_; } @@ -463,7 +462,6 @@ public Builder mergeFrom( * * @return The score. */ - @java.lang.Override public float getScore() { return score_; } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ClassificationEvaluationMetrics.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ClassificationEvaluationMetrics.java index ac1d4d9b8..9a02a81fd 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ClassificationEvaluationMetrics.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ClassificationEvaluationMetrics.java @@ -547,7 +547,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The confidenceThreshold. */ - @java.lang.Override public float getConfidenceThreshold() { return confidenceThreshold_; } @@ -567,7 +566,6 @@ public float getConfidenceThreshold() { * * @return The positionThreshold. */ - @java.lang.Override public int getPositionThreshold() { return positionThreshold_; } @@ -586,7 +584,6 @@ public int getPositionThreshold() { * * @return The recall. */ - @java.lang.Override public float getRecall() { return recall_; } @@ -604,7 +601,6 @@ public float getRecall() { * * @return The precision. */ - @java.lang.Override public float getPrecision() { return precision_; } @@ -622,7 +618,6 @@ public float getPrecision() { * * @return The falsePositiveRate. */ - @java.lang.Override public float getFalsePositiveRate() { return falsePositiveRate_; } @@ -640,7 +635,6 @@ public float getFalsePositiveRate() { * * @return The f1Score. */ - @java.lang.Override public float getF1Score() { return f1Score_; } @@ -660,7 +654,6 @@ public float getF1Score() { * * @return The recallAt1. */ - @java.lang.Override public float getRecallAt1() { return recallAt1_; } @@ -680,7 +673,6 @@ public float getRecallAt1() { * * @return The precisionAt1. */ - @java.lang.Override public float getPrecisionAt1() { return precisionAt1_; } @@ -700,7 +692,6 @@ public float getPrecisionAt1() { * * @return The falsePositiveRateAt1. */ - @java.lang.Override public float getFalsePositiveRateAt1() { return falsePositiveRateAt1_; } @@ -718,7 +709,6 @@ public float getFalsePositiveRateAt1() { * * @return The f1ScoreAt1. */ - @java.lang.Override public float getF1ScoreAt1() { return f1ScoreAt1_; } @@ -737,7 +727,6 @@ public float getF1ScoreAt1() { * * @return The truePositiveCount. */ - @java.lang.Override public long getTruePositiveCount() { return truePositiveCount_; } @@ -756,7 +745,6 @@ public long getTruePositiveCount() { * * @return The falsePositiveCount. */ - @java.lang.Override public long getFalsePositiveCount() { return falsePositiveCount_; } @@ -775,7 +763,6 @@ public long getFalsePositiveCount() { * * @return The falseNegativeCount. */ - @java.lang.Override public long getFalseNegativeCount() { return falseNegativeCount_; } @@ -794,7 +781,6 @@ public long getFalseNegativeCount() { * * @return The trueNegativeCount. */ - @java.lang.Override public long getTrueNegativeCount() { return trueNegativeCount_; } @@ -1365,7 +1351,6 @@ public Builder mergeFrom( * * @return The confidenceThreshold. */ - @java.lang.Override public float getConfidenceThreshold() { return confidenceThreshold_; } @@ -1421,7 +1406,6 @@ public Builder clearConfidenceThreshold() { * * @return The positionThreshold. */ - @java.lang.Override public int getPositionThreshold() { return positionThreshold_; } @@ -1478,7 +1462,6 @@ public Builder clearPositionThreshold() { * * @return The recall. */ - @java.lang.Override public float getRecall() { return recall_; } @@ -1532,7 +1515,6 @@ public Builder clearRecall() { * * @return The precision. */ - @java.lang.Override public float getPrecision() { return precision_; } @@ -1584,7 +1566,6 @@ public Builder clearPrecision() { * * @return The falsePositiveRate. */ - @java.lang.Override public float getFalsePositiveRate() { return falsePositiveRate_; } @@ -1636,7 +1617,6 @@ public Builder clearFalsePositiveRate() { * * @return The f1Score. */ - @java.lang.Override public float getF1Score() { return f1Score_; } @@ -1690,7 +1670,6 @@ public Builder clearF1Score() { * * @return The recallAt1. */ - @java.lang.Override public float getRecallAt1() { return recallAt1_; } @@ -1748,7 +1727,6 @@ public Builder clearRecallAt1() { * * @return The precisionAt1. */ - @java.lang.Override public float getPrecisionAt1() { return precisionAt1_; } @@ -1806,7 +1784,6 @@ public Builder clearPrecisionAt1() { * * @return The falsePositiveRateAt1. */ - @java.lang.Override public float getFalsePositiveRateAt1() { return falsePositiveRateAt1_; } @@ -1862,7 +1839,6 @@ public Builder clearFalsePositiveRateAt1() { * * @return The f1ScoreAt1. */ - @java.lang.Override public float getF1ScoreAt1() { return f1ScoreAt1_; } @@ -1915,7 +1891,6 @@ public Builder clearF1ScoreAt1() { * * @return The truePositiveCount. */ - @java.lang.Override public long getTruePositiveCount() { return truePositiveCount_; } @@ -1970,7 +1945,6 @@ public Builder clearTruePositiveCount() { * * @return The falsePositiveCount. */ - @java.lang.Override public long getFalsePositiveCount() { return falsePositiveCount_; } @@ -2025,7 +1999,6 @@ public Builder clearFalsePositiveCount() { * * @return The falseNegativeCount. */ - @java.lang.Override public long getFalseNegativeCount() { return falseNegativeCount_; } @@ -2080,7 +2053,6 @@ public Builder clearFalseNegativeCount() { * * @return The trueNegativeCount. */ - @java.lang.Override public long getTrueNegativeCount() { return trueNegativeCount_; } @@ -2726,7 +2698,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return A list containing the exampleCount. */ - @java.lang.Override public java.util.List getExampleCountList() { return exampleCount_; } @@ -3528,7 +3499,6 @@ public com.google.protobuf.ByteString getDisplayNameBytes(int index) { * repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; * */ - @java.lang.Override public java.util.List< com.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix.Row> getRowList() { @@ -3549,7 +3519,6 @@ public com.google.protobuf.ByteString getDisplayNameBytes(int index) { * repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; * */ - @java.lang.Override public java.util.List< ? extends com.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix @@ -3572,7 +3541,6 @@ public com.google.protobuf.ByteString getDisplayNameBytes(int index) { * repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; * */ - @java.lang.Override public int getRowCount() { return row_.size(); } @@ -3591,7 +3559,6 @@ public int getRowCount() { * repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; * */ - @java.lang.Override public com.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix.Row getRow( int index) { return row_.get(index); @@ -3611,7 +3578,6 @@ public com.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatri * repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; * */ - @java.lang.Override public com.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix.RowOrBuilder getRowOrBuilder(int index) { return row_.get(index); @@ -5044,7 +5010,6 @@ public com.google.protobuf.Parser getParserForType() { * * @return The auPrc. */ - @java.lang.Override public float getAuPrc() { return auPrc_; } @@ -5063,7 +5028,6 @@ public float getAuPrc() { * * @return The auRoc. */ - @java.lang.Override public float getAuRoc() { return auRoc_; } @@ -5081,7 +5045,6 @@ public float getAuRoc() { * * @return The logLoss. */ - @java.lang.Override public float getLogLoss() { return logLoss_; } @@ -5107,7 +5070,6 @@ public float getLogLoss() { * repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; * */ - @java.lang.Override public java.util.List< com.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry> getConfidenceMetricsEntryList() { @@ -5130,7 +5092,6 @@ public float getLogLoss() { * repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; * */ - @java.lang.Override public java.util.List< ? extends com.google.cloud.automl.v1.ClassificationEvaluationMetrics @@ -5155,7 +5116,6 @@ public float getLogLoss() { * repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; * */ - @java.lang.Override public int getConfidenceMetricsEntryCount() { return confidenceMetricsEntry_.size(); } @@ -5176,7 +5136,6 @@ public int getConfidenceMetricsEntryCount() { * repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; * */ - @java.lang.Override public com.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry getConfidenceMetricsEntry(int index) { return confidenceMetricsEntry_.get(index); @@ -5198,7 +5157,6 @@ public int getConfidenceMetricsEntryCount() { * repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; * */ - @java.lang.Override public com.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntryOrBuilder getConfidenceMetricsEntryOrBuilder(int index) { return confidenceMetricsEntry_.get(index); @@ -5223,7 +5181,6 @@ public int getConfidenceMetricsEntryCount() { * * @return Whether the confusionMatrix field is set. */ - @java.lang.Override public boolean hasConfusionMatrix() { return confusionMatrix_ != null; } @@ -5243,7 +5200,6 @@ public boolean hasConfusionMatrix() { * * @return The confusionMatrix. */ - @java.lang.Override public com.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix getConfusionMatrix() { return confusionMatrix_ == null @@ -5265,7 +5221,6 @@ public boolean hasConfusionMatrix() { * .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4; * */ - @java.lang.Override public com.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder getConfusionMatrixOrBuilder() { return getConfusionMatrix(); @@ -5820,7 +5775,6 @@ public Builder mergeFrom( * * @return The auPrc. */ - @java.lang.Override public float getAuPrc() { return auPrc_; } @@ -5875,7 +5829,6 @@ public Builder clearAuPrc() { * * @return The auRoc. */ - @java.lang.Override public float getAuRoc() { return auRoc_; } @@ -5929,7 +5882,6 @@ public Builder clearAuRoc() { * * @return The logLoss. */ - @java.lang.Override public float getLogLoss() { return logLoss_; } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ClassificationType.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ClassificationType.java index c5b333b4d..2d5c5d3f2 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ClassificationType.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ClassificationType.java @@ -140,10 +140,6 @@ public ClassificationType findValueByNumber(int number) { }; public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() { - if (this == UNRECOGNIZED) { - throw new java.lang.IllegalStateException( - "Can't get the descriptor of an unrecognized enum value."); - } return getDescriptor().getValues().get(ordinal()); } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/CreateDatasetRequest.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/CreateDatasetRequest.java index 178d57a68..89349e163 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/CreateDatasetRequest.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/CreateDatasetRequest.java @@ -141,7 +141,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The parent. */ - @java.lang.Override public java.lang.String getParent() { java.lang.Object ref = parent_; if (ref instanceof java.lang.String) { @@ -166,7 +165,6 @@ public java.lang.String getParent() { * * @return The bytes for parent. */ - @java.lang.Override public com.google.protobuf.ByteString getParentBytes() { java.lang.Object ref = parent_; if (ref instanceof java.lang.String) { @@ -193,7 +191,6 @@ public com.google.protobuf.ByteString getParentBytes() { * * @return Whether the dataset field is set. */ - @java.lang.Override public boolean hasDataset() { return dataset_ != null; } @@ -209,7 +206,6 @@ public boolean hasDataset() { * * @return The dataset. */ - @java.lang.Override public com.google.cloud.automl.v1.Dataset getDataset() { return dataset_ == null ? com.google.cloud.automl.v1.Dataset.getDefaultInstance() : dataset_; } @@ -223,7 +219,6 @@ public com.google.cloud.automl.v1.Dataset getDataset() { * .google.cloud.automl.v1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED]; * */ - @java.lang.Override public com.google.cloud.automl.v1.DatasetOrBuilder getDatasetOrBuilder() { return getDataset(); } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/CreateModelRequest.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/CreateModelRequest.java index 4a1db16db..027ced6a8 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/CreateModelRequest.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/CreateModelRequest.java @@ -141,7 +141,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The parent. */ - @java.lang.Override public java.lang.String getParent() { java.lang.Object ref = parent_; if (ref instanceof java.lang.String) { @@ -166,7 +165,6 @@ public java.lang.String getParent() { * * @return The bytes for parent. */ - @java.lang.Override public com.google.protobuf.ByteString getParentBytes() { java.lang.Object ref = parent_; if (ref instanceof java.lang.String) { @@ -192,7 +190,6 @@ public com.google.protobuf.ByteString getParentBytes() { * * @return Whether the model field is set. */ - @java.lang.Override public boolean hasModel() { return model_ != null; } @@ -207,7 +204,6 @@ public boolean hasModel() { * * @return The model. */ - @java.lang.Override public com.google.cloud.automl.v1.Model getModel() { return model_ == null ? com.google.cloud.automl.v1.Model.getDefaultInstance() : model_; } @@ -220,7 +216,6 @@ public com.google.cloud.automl.v1.Model getModel() { * * .google.cloud.automl.v1.Model model = 4 [(.google.api.field_behavior) = REQUIRED]; */ - @java.lang.Override public com.google.cloud.automl.v1.ModelOrBuilder getModelOrBuilder() { return getModel(); } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/Dataset.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/Dataset.java index 31c7e5ae8..bc1b1c2ac 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/Dataset.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/Dataset.java @@ -382,7 +382,6 @@ public DatasetMetadataCase getDatasetMetadataCase() { * * @return Whether the translationDatasetMetadata field is set. */ - @java.lang.Override public boolean hasTranslationDatasetMetadata() { return datasetMetadataCase_ == 23; } @@ -398,7 +397,6 @@ public boolean hasTranslationDatasetMetadata() { * * @return The translationDatasetMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.TranslationDatasetMetadata getTranslationDatasetMetadata() { if (datasetMetadataCase_ == 23) { return (com.google.cloud.automl.v1.TranslationDatasetMetadata) datasetMetadata_; @@ -415,7 +413,6 @@ public com.google.cloud.automl.v1.TranslationDatasetMetadata getTranslationDatas * .google.cloud.automl.v1.TranslationDatasetMetadata translation_dataset_metadata = 23; * */ - @java.lang.Override public com.google.cloud.automl.v1.TranslationDatasetMetadataOrBuilder getTranslationDatasetMetadataOrBuilder() { if (datasetMetadataCase_ == 23) { @@ -438,7 +435,6 @@ public com.google.cloud.automl.v1.TranslationDatasetMetadata getTranslationDatas * * @return Whether the imageClassificationDatasetMetadata field is set. */ - @java.lang.Override public boolean hasImageClassificationDatasetMetadata() { return datasetMetadataCase_ == 24; } @@ -455,7 +451,6 @@ public boolean hasImageClassificationDatasetMetadata() { * * @return The imageClassificationDatasetMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.ImageClassificationDatasetMetadata getImageClassificationDatasetMetadata() { if (datasetMetadataCase_ == 24) { @@ -474,7 +469,6 @@ public boolean hasImageClassificationDatasetMetadata() { * .google.cloud.automl.v1.ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24; * */ - @java.lang.Override public com.google.cloud.automl.v1.ImageClassificationDatasetMetadataOrBuilder getImageClassificationDatasetMetadataOrBuilder() { if (datasetMetadataCase_ == 24) { @@ -497,7 +491,6 @@ public boolean hasImageClassificationDatasetMetadata() { * * @return Whether the textClassificationDatasetMetadata field is set. */ - @java.lang.Override public boolean hasTextClassificationDatasetMetadata() { return datasetMetadataCase_ == 25; } @@ -514,7 +507,6 @@ public boolean hasTextClassificationDatasetMetadata() { * * @return The textClassificationDatasetMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.TextClassificationDatasetMetadata getTextClassificationDatasetMetadata() { if (datasetMetadataCase_ == 25) { @@ -533,7 +525,6 @@ public boolean hasTextClassificationDatasetMetadata() { * .google.cloud.automl.v1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25; * */ - @java.lang.Override public com.google.cloud.automl.v1.TextClassificationDatasetMetadataOrBuilder getTextClassificationDatasetMetadataOrBuilder() { if (datasetMetadataCase_ == 25) { @@ -556,7 +547,6 @@ public boolean hasTextClassificationDatasetMetadata() { * * @return Whether the imageObjectDetectionDatasetMetadata field is set. */ - @java.lang.Override public boolean hasImageObjectDetectionDatasetMetadata() { return datasetMetadataCase_ == 26; } @@ -573,7 +563,6 @@ public boolean hasImageObjectDetectionDatasetMetadata() { * * @return The imageObjectDetectionDatasetMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.ImageObjectDetectionDatasetMetadata getImageObjectDetectionDatasetMetadata() { if (datasetMetadataCase_ == 26) { @@ -592,7 +581,6 @@ public boolean hasImageObjectDetectionDatasetMetadata() { * .google.cloud.automl.v1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26; * */ - @java.lang.Override public com.google.cloud.automl.v1.ImageObjectDetectionDatasetMetadataOrBuilder getImageObjectDetectionDatasetMetadataOrBuilder() { if (datasetMetadataCase_ == 26) { @@ -615,7 +603,6 @@ public boolean hasImageObjectDetectionDatasetMetadata() { * * @return Whether the textExtractionDatasetMetadata field is set. */ - @java.lang.Override public boolean hasTextExtractionDatasetMetadata() { return datasetMetadataCase_ == 28; } @@ -632,7 +619,6 @@ public boolean hasTextExtractionDatasetMetadata() { * * @return The textExtractionDatasetMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.TextExtractionDatasetMetadata getTextExtractionDatasetMetadata() { if (datasetMetadataCase_ == 28) { @@ -651,7 +637,6 @@ public boolean hasTextExtractionDatasetMetadata() { * .google.cloud.automl.v1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28; * */ - @java.lang.Override public com.google.cloud.automl.v1.TextExtractionDatasetMetadataOrBuilder getTextExtractionDatasetMetadataOrBuilder() { if (datasetMetadataCase_ == 28) { @@ -674,7 +659,6 @@ public boolean hasTextExtractionDatasetMetadata() { * * @return Whether the textSentimentDatasetMetadata field is set. */ - @java.lang.Override public boolean hasTextSentimentDatasetMetadata() { return datasetMetadataCase_ == 30; } @@ -691,7 +675,6 @@ public boolean hasTextSentimentDatasetMetadata() { * * @return The textSentimentDatasetMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.TextSentimentDatasetMetadata getTextSentimentDatasetMetadata() { if (datasetMetadataCase_ == 30) { return (com.google.cloud.automl.v1.TextSentimentDatasetMetadata) datasetMetadata_; @@ -709,7 +692,6 @@ public com.google.cloud.automl.v1.TextSentimentDatasetMetadata getTextSentimentD * .google.cloud.automl.v1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30; * */ - @java.lang.Override public com.google.cloud.automl.v1.TextSentimentDatasetMetadataOrBuilder getTextSentimentDatasetMetadataOrBuilder() { if (datasetMetadataCase_ == 30) { @@ -732,7 +714,6 @@ public com.google.cloud.automl.v1.TextSentimentDatasetMetadata getTextSentimentD * * @return The name. */ - @java.lang.Override public java.lang.String getName() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { @@ -756,7 +737,6 @@ public java.lang.String getName() { * * @return The bytes for name. */ - @java.lang.Override public com.google.protobuf.ByteString getNameBytes() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { @@ -785,7 +765,6 @@ public com.google.protobuf.ByteString getNameBytes() { * * @return The displayName. */ - @java.lang.Override public java.lang.String getDisplayName() { java.lang.Object ref = displayName_; if (ref instanceof java.lang.String) { @@ -811,7 +790,6 @@ public java.lang.String getDisplayName() { * * @return The bytes for displayName. */ - @java.lang.Override public com.google.protobuf.ByteString getDisplayNameBytes() { java.lang.Object ref = displayName_; if (ref instanceof java.lang.String) { @@ -838,7 +816,6 @@ public com.google.protobuf.ByteString getDisplayNameBytes() { * * @return The description. */ - @java.lang.Override public java.lang.String getDescription() { java.lang.Object ref = description_; if (ref instanceof java.lang.String) { @@ -862,7 +839,6 @@ public java.lang.String getDescription() { * * @return The bytes for description. */ - @java.lang.Override public com.google.protobuf.ByteString getDescriptionBytes() { java.lang.Object ref = description_; if (ref instanceof java.lang.String) { @@ -888,7 +864,6 @@ public com.google.protobuf.ByteString getDescriptionBytes() { * * @return The exampleCount. */ - @java.lang.Override public int getExampleCount() { return exampleCount_; } @@ -906,7 +881,6 @@ public int getExampleCount() { * * @return Whether the createTime field is set. */ - @java.lang.Override public boolean hasCreateTime() { return createTime_ != null; } @@ -921,7 +895,6 @@ public boolean hasCreateTime() { * * @return The createTime. */ - @java.lang.Override public com.google.protobuf.Timestamp getCreateTime() { return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_; } @@ -934,7 +907,6 @@ public com.google.protobuf.Timestamp getCreateTime() { * * .google.protobuf.Timestamp create_time = 14; */ - @java.lang.Override public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() { return getCreateTime(); } @@ -953,7 +925,6 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() { * * @return The etag. */ - @java.lang.Override public java.lang.String getEtag() { java.lang.Object ref = etag_; if (ref instanceof java.lang.String) { @@ -977,7 +948,6 @@ public java.lang.String getEtag() { * * @return The bytes for etag. */ - @java.lang.Override public com.google.protobuf.ByteString getEtagBytes() { java.lang.Object ref = etag_; if (ref instanceof java.lang.String) { @@ -1029,7 +999,6 @@ public int getLabelsCount() { * * map<string, string> labels = 39; */ - @java.lang.Override public boolean containsLabels(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); @@ -1037,7 +1006,6 @@ public boolean containsLabels(java.lang.String key) { return internalGetLabels().getMap().containsKey(key); } /** Use {@link #getLabelsMap()} instead. */ - @java.lang.Override @java.lang.Deprecated public java.util.Map getLabels() { return getLabelsMap(); @@ -1056,7 +1024,6 @@ public java.util.Map getLabels() { * * map<string, string> labels = 39; */ - @java.lang.Override public java.util.Map getLabelsMap() { return internalGetLabels().getMap(); } @@ -1074,7 +1041,6 @@ public java.util.Map getLabelsMap() { * * map<string, string> labels = 39; */ - @java.lang.Override public java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.String defaultValue) { if (key == null) { throw new java.lang.NullPointerException(); @@ -1096,7 +1062,6 @@ public java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.Strin * * map<string, string> labels = 39; */ - @java.lang.Override public java.lang.String getLabelsOrThrow(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); @@ -1782,7 +1747,6 @@ public Builder clearDatasetMetadata() { * * @return Whether the translationDatasetMetadata field is set. */ - @java.lang.Override public boolean hasTranslationDatasetMetadata() { return datasetMetadataCase_ == 23; } @@ -1798,7 +1762,6 @@ public boolean hasTranslationDatasetMetadata() { * * @return The translationDatasetMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.TranslationDatasetMetadata getTranslationDatasetMetadata() { if (translationDatasetMetadataBuilder_ == null) { if (datasetMetadataCase_ == 23) { @@ -1941,7 +1904,6 @@ public Builder clearTranslationDatasetMetadata() { * .google.cloud.automl.v1.TranslationDatasetMetadata translation_dataset_metadata = 23; * */ - @java.lang.Override public com.google.cloud.automl.v1.TranslationDatasetMetadataOrBuilder getTranslationDatasetMetadataOrBuilder() { if ((datasetMetadataCase_ == 23) && (translationDatasetMetadataBuilder_ != null)) { @@ -2007,7 +1969,6 @@ public Builder clearTranslationDatasetMetadata() { * * @return Whether the imageClassificationDatasetMetadata field is set. */ - @java.lang.Override public boolean hasImageClassificationDatasetMetadata() { return datasetMetadataCase_ == 24; } @@ -2024,7 +1985,6 @@ public boolean hasImageClassificationDatasetMetadata() { * * @return The imageClassificationDatasetMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.ImageClassificationDatasetMetadata getImageClassificationDatasetMetadata() { if (imageClassificationDatasetMetadataBuilder_ == null) { @@ -2176,7 +2136,6 @@ public Builder clearImageClassificationDatasetMetadata() { * .google.cloud.automl.v1.ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24; * */ - @java.lang.Override public com.google.cloud.automl.v1.ImageClassificationDatasetMetadataOrBuilder getImageClassificationDatasetMetadataOrBuilder() { if ((datasetMetadataCase_ == 24) && (imageClassificationDatasetMetadataBuilder_ != null)) { @@ -2243,7 +2202,6 @@ public Builder clearImageClassificationDatasetMetadata() { * * @return Whether the textClassificationDatasetMetadata field is set. */ - @java.lang.Override public boolean hasTextClassificationDatasetMetadata() { return datasetMetadataCase_ == 25; } @@ -2260,7 +2218,6 @@ public boolean hasTextClassificationDatasetMetadata() { * * @return The textClassificationDatasetMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.TextClassificationDatasetMetadata getTextClassificationDatasetMetadata() { if (textClassificationDatasetMetadataBuilder_ == null) { @@ -2412,7 +2369,6 @@ public Builder clearTextClassificationDatasetMetadata() { * .google.cloud.automl.v1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25; * */ - @java.lang.Override public com.google.cloud.automl.v1.TextClassificationDatasetMetadataOrBuilder getTextClassificationDatasetMetadataOrBuilder() { if ((datasetMetadataCase_ == 25) && (textClassificationDatasetMetadataBuilder_ != null)) { @@ -2479,7 +2435,6 @@ public Builder clearTextClassificationDatasetMetadata() { * * @return Whether the imageObjectDetectionDatasetMetadata field is set. */ - @java.lang.Override public boolean hasImageObjectDetectionDatasetMetadata() { return datasetMetadataCase_ == 26; } @@ -2496,7 +2451,6 @@ public boolean hasImageObjectDetectionDatasetMetadata() { * * @return The imageObjectDetectionDatasetMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.ImageObjectDetectionDatasetMetadata getImageObjectDetectionDatasetMetadata() { if (imageObjectDetectionDatasetMetadataBuilder_ == null) { @@ -2648,7 +2602,6 @@ public Builder clearImageObjectDetectionDatasetMetadata() { * .google.cloud.automl.v1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26; * */ - @java.lang.Override public com.google.cloud.automl.v1.ImageObjectDetectionDatasetMetadataOrBuilder getImageObjectDetectionDatasetMetadataOrBuilder() { if ((datasetMetadataCase_ == 26) && (imageObjectDetectionDatasetMetadataBuilder_ != null)) { @@ -2715,7 +2668,6 @@ public Builder clearImageObjectDetectionDatasetMetadata() { * * @return Whether the textExtractionDatasetMetadata field is set. */ - @java.lang.Override public boolean hasTextExtractionDatasetMetadata() { return datasetMetadataCase_ == 28; } @@ -2732,7 +2684,6 @@ public boolean hasTextExtractionDatasetMetadata() { * * @return The textExtractionDatasetMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.TextExtractionDatasetMetadata getTextExtractionDatasetMetadata() { if (textExtractionDatasetMetadataBuilder_ == null) { @@ -2882,7 +2833,6 @@ public Builder clearTextExtractionDatasetMetadata() { * .google.cloud.automl.v1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28; * */ - @java.lang.Override public com.google.cloud.automl.v1.TextExtractionDatasetMetadataOrBuilder getTextExtractionDatasetMetadataOrBuilder() { if ((datasetMetadataCase_ == 28) && (textExtractionDatasetMetadataBuilder_ != null)) { @@ -2949,7 +2899,6 @@ public Builder clearTextExtractionDatasetMetadata() { * * @return Whether the textSentimentDatasetMetadata field is set. */ - @java.lang.Override public boolean hasTextSentimentDatasetMetadata() { return datasetMetadataCase_ == 30; } @@ -2966,7 +2915,6 @@ public boolean hasTextSentimentDatasetMetadata() { * * @return The textSentimentDatasetMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.TextSentimentDatasetMetadata getTextSentimentDatasetMetadata() { if (textSentimentDatasetMetadataBuilder_ == null) { @@ -3116,7 +3064,6 @@ public Builder clearTextSentimentDatasetMetadata() { * .google.cloud.automl.v1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30; * */ - @java.lang.Override public com.google.cloud.automl.v1.TextSentimentDatasetMetadataOrBuilder getTextSentimentDatasetMetadataOrBuilder() { if ((datasetMetadataCase_ == 30) && (textSentimentDatasetMetadataBuilder_ != null)) { @@ -3520,7 +3467,6 @@ public Builder setDescriptionBytes(com.google.protobuf.ByteString value) { * * @return The exampleCount. */ - @java.lang.Override public int getExampleCount() { return exampleCount_; } @@ -3893,7 +3839,6 @@ public int getLabelsCount() { * * map<string, string> labels = 39; */ - @java.lang.Override public boolean containsLabels(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); @@ -3901,7 +3846,6 @@ public boolean containsLabels(java.lang.String key) { return internalGetLabels().getMap().containsKey(key); } /** Use {@link #getLabelsMap()} instead. */ - @java.lang.Override @java.lang.Deprecated public java.util.Map getLabels() { return getLabelsMap(); @@ -3920,7 +3864,6 @@ public java.util.Map getLabels() { * * map<string, string> labels = 39; */ - @java.lang.Override public java.util.Map getLabelsMap() { return internalGetLabels().getMap(); } @@ -3938,7 +3881,6 @@ public java.util.Map getLabelsMap() { * * map<string, string> labels = 39; */ - @java.lang.Override public java.lang.String getLabelsOrDefault( java.lang.String key, java.lang.String defaultValue) { if (key == null) { @@ -3961,7 +3903,6 @@ public java.lang.String getLabelsOrDefault( * * map<string, string> labels = 39; */ - @java.lang.Override public java.lang.String getLabelsOrThrow(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/DeleteDatasetRequest.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/DeleteDatasetRequest.java index 54120ab1d..8090947b8 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/DeleteDatasetRequest.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/DeleteDatasetRequest.java @@ -126,7 +126,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The name. */ - @java.lang.Override public java.lang.String getName() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { @@ -151,7 +150,6 @@ public java.lang.String getName() { * * @return The bytes for name. */ - @java.lang.Override public com.google.protobuf.ByteString getNameBytes() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/DeleteModelRequest.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/DeleteModelRequest.java index 65d629b1a..837e1a53a 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/DeleteModelRequest.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/DeleteModelRequest.java @@ -126,7 +126,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The name. */ - @java.lang.Override public java.lang.String getName() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { @@ -151,7 +150,6 @@ public java.lang.String getName() { * * @return The bytes for name. */ - @java.lang.Override public com.google.protobuf.ByteString getNameBytes() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/DeployModelRequest.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/DeployModelRequest.java index df65afb8f..fc2090284 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/DeployModelRequest.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/DeployModelRequest.java @@ -220,7 +220,6 @@ public ModelDeploymentMetadataCase getModelDeploymentMetadataCase() { * * @return Whether the imageObjectDetectionModelDeploymentMetadata field is set. */ - @java.lang.Override public boolean hasImageObjectDetectionModelDeploymentMetadata() { return modelDeploymentMetadataCase_ == 2; } @@ -237,7 +236,6 @@ public boolean hasImageObjectDetectionModelDeploymentMetadata() { * * @return The imageObjectDetectionModelDeploymentMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.ImageObjectDetectionModelDeploymentMetadata getImageObjectDetectionModelDeploymentMetadata() { if (modelDeploymentMetadataCase_ == 2) { @@ -258,7 +256,6 @@ public boolean hasImageObjectDetectionModelDeploymentMetadata() { * .google.cloud.automl.v1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2; * */ - @java.lang.Override public com.google.cloud.automl.v1.ImageObjectDetectionModelDeploymentMetadataOrBuilder getImageObjectDetectionModelDeploymentMetadataOrBuilder() { if (modelDeploymentMetadataCase_ == 2) { @@ -283,7 +280,6 @@ public boolean hasImageObjectDetectionModelDeploymentMetadata() { * * @return Whether the imageClassificationModelDeploymentMetadata field is set. */ - @java.lang.Override public boolean hasImageClassificationModelDeploymentMetadata() { return modelDeploymentMetadataCase_ == 4; } @@ -300,7 +296,6 @@ public boolean hasImageClassificationModelDeploymentMetadata() { * * @return The imageClassificationModelDeploymentMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.ImageClassificationModelDeploymentMetadata getImageClassificationModelDeploymentMetadata() { if (modelDeploymentMetadataCase_ == 4) { @@ -321,7 +316,6 @@ public boolean hasImageClassificationModelDeploymentMetadata() { * .google.cloud.automl.v1.ImageClassificationModelDeploymentMetadata image_classification_model_deployment_metadata = 4; * */ - @java.lang.Override public com.google.cloud.automl.v1.ImageClassificationModelDeploymentMetadataOrBuilder getImageClassificationModelDeploymentMetadataOrBuilder() { if (modelDeploymentMetadataCase_ == 4) { @@ -347,7 +341,6 @@ public boolean hasImageClassificationModelDeploymentMetadata() { * * @return The name. */ - @java.lang.Override public java.lang.String getName() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { @@ -372,7 +365,6 @@ public java.lang.String getName() { * * @return The bytes for name. */ - @java.lang.Override public com.google.protobuf.ByteString getNameBytes() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { @@ -822,7 +814,6 @@ public Builder clearModelDeploymentMetadata() { * * @return Whether the imageObjectDetectionModelDeploymentMetadata field is set. */ - @java.lang.Override public boolean hasImageObjectDetectionModelDeploymentMetadata() { return modelDeploymentMetadataCase_ == 2; } @@ -839,7 +830,6 @@ public boolean hasImageObjectDetectionModelDeploymentMetadata() { * * @return The imageObjectDetectionModelDeploymentMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.ImageObjectDetectionModelDeploymentMetadata getImageObjectDetectionModelDeploymentMetadata() { if (imageObjectDetectionModelDeploymentMetadataBuilder_ == null) { @@ -995,7 +985,6 @@ public Builder clearImageObjectDetectionModelDeploymentMetadata() { * .google.cloud.automl.v1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2; * */ - @java.lang.Override public com.google.cloud.automl.v1.ImageObjectDetectionModelDeploymentMetadataOrBuilder getImageObjectDetectionModelDeploymentMetadataOrBuilder() { if ((modelDeploymentMetadataCase_ == 2) @@ -1067,7 +1056,6 @@ public Builder clearImageObjectDetectionModelDeploymentMetadata() { * * @return Whether the imageClassificationModelDeploymentMetadata field is set. */ - @java.lang.Override public boolean hasImageClassificationModelDeploymentMetadata() { return modelDeploymentMetadataCase_ == 4; } @@ -1084,7 +1072,6 @@ public boolean hasImageClassificationModelDeploymentMetadata() { * * @return The imageClassificationModelDeploymentMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.ImageClassificationModelDeploymentMetadata getImageClassificationModelDeploymentMetadata() { if (imageClassificationModelDeploymentMetadataBuilder_ == null) { @@ -1240,7 +1227,6 @@ public Builder clearImageClassificationModelDeploymentMetadata() { * .google.cloud.automl.v1.ImageClassificationModelDeploymentMetadata image_classification_model_deployment_metadata = 4; * */ - @java.lang.Override public com.google.cloud.automl.v1.ImageClassificationModelDeploymentMetadataOrBuilder getImageClassificationModelDeploymentMetadataOrBuilder() { if ((modelDeploymentMetadataCase_ == 4) diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/Document.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/Document.java index e001d5b9f..884ede829 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/Document.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/Document.java @@ -737,10 +737,6 @@ public TextSegmentType findValueByNumber(int number) { }; public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() { - if (this == UNRECOGNIZED) { - throw new java.lang.IllegalStateException( - "Can't get the descriptor of an unrecognized enum value."); - } return getDescriptor().getValues().get(ordinal()); } @@ -788,7 +784,6 @@ private TextSegmentType(int value) { * * @return Whether the textSegment field is set. */ - @java.lang.Override public boolean hasTextSegment() { return textSegment_ != null; } @@ -804,7 +799,6 @@ public boolean hasTextSegment() { * * @return The textSegment. */ - @java.lang.Override public com.google.cloud.automl.v1.TextSegment getTextSegment() { return textSegment_ == null ? com.google.cloud.automl.v1.TextSegment.getDefaultInstance() @@ -820,7 +814,6 @@ public com.google.cloud.automl.v1.TextSegment getTextSegment() { * * .google.cloud.automl.v1.TextSegment text_segment = 1; */ - @java.lang.Override public com.google.cloud.automl.v1.TextSegmentOrBuilder getTextSegmentOrBuilder() { return getTextSegment(); } @@ -839,7 +832,6 @@ public com.google.cloud.automl.v1.TextSegmentOrBuilder getTextSegmentOrBuilder() * * @return The pageNumber. */ - @java.lang.Override public int getPageNumber() { return pageNumber_; } @@ -864,7 +856,6 @@ public int getPageNumber() { * * @return Whether the boundingPoly field is set. */ - @java.lang.Override public boolean hasBoundingPoly() { return boundingPoly_ != null; } @@ -886,7 +877,6 @@ public boolean hasBoundingPoly() { * * @return The boundingPoly. */ - @java.lang.Override public com.google.cloud.automl.v1.BoundingPoly getBoundingPoly() { return boundingPoly_ == null ? com.google.cloud.automl.v1.BoundingPoly.getDefaultInstance() @@ -908,7 +898,6 @@ public com.google.cloud.automl.v1.BoundingPoly getBoundingPoly() { * * .google.cloud.automl.v1.BoundingPoly bounding_poly = 3; */ - @java.lang.Override public com.google.cloud.automl.v1.BoundingPolyOrBuilder getBoundingPolyOrBuilder() { return getBoundingPoly(); } @@ -926,7 +915,6 @@ public com.google.cloud.automl.v1.BoundingPolyOrBuilder getBoundingPolyOrBuilder * * @return The enum numeric value on the wire for textSegmentType. */ - @java.lang.Override public int getTextSegmentTypeValue() { return textSegmentType_; } @@ -941,7 +929,6 @@ public int getTextSegmentTypeValue() { * * @return The textSegmentType. */ - @java.lang.Override public com.google.cloud.automl.v1.Document.Layout.TextSegmentType getTextSegmentType() { @SuppressWarnings("deprecation") com.google.cloud.automl.v1.Document.Layout.TextSegmentType result = @@ -1555,7 +1542,6 @@ public com.google.cloud.automl.v1.TextSegmentOrBuilder getTextSegmentOrBuilder() * * @return The pageNumber. */ - @java.lang.Override public int getPageNumber() { return pageNumber_; } @@ -1858,7 +1844,6 @@ public com.google.cloud.automl.v1.BoundingPolyOrBuilder getBoundingPolyOrBuilder * * @return The enum numeric value on the wire for textSegmentType. */ - @java.lang.Override public int getTextSegmentTypeValue() { return textSegmentType_; } @@ -1875,7 +1860,6 @@ public int getTextSegmentTypeValue() { * @return This builder for chaining. */ public Builder setTextSegmentTypeValue(int value) { - textSegmentType_ = value; onChanged(); return this; @@ -1891,7 +1875,6 @@ public Builder setTextSegmentTypeValue(int value) { * * @return The textSegmentType. */ - @java.lang.Override public com.google.cloud.automl.v1.Document.Layout.TextSegmentType getTextSegmentType() { @SuppressWarnings("deprecation") com.google.cloud.automl.v1.Document.Layout.TextSegmentType result = @@ -2005,7 +1988,6 @@ public com.google.cloud.automl.v1.Document.Layout getDefaultInstanceForType() { * * @return Whether the inputConfig field is set. */ - @java.lang.Override public boolean hasInputConfig() { return inputConfig_ != null; } @@ -2020,7 +2002,6 @@ public boolean hasInputConfig() { * * @return The inputConfig. */ - @java.lang.Override public com.google.cloud.automl.v1.DocumentInputConfig getInputConfig() { return inputConfig_ == null ? com.google.cloud.automl.v1.DocumentInputConfig.getDefaultInstance() @@ -2035,7 +2016,6 @@ public com.google.cloud.automl.v1.DocumentInputConfig getInputConfig() { * * .google.cloud.automl.v1.DocumentInputConfig input_config = 1; */ - @java.lang.Override public com.google.cloud.automl.v1.DocumentInputConfigOrBuilder getInputConfigOrBuilder() { return getInputConfig(); } @@ -2053,7 +2033,6 @@ public com.google.cloud.automl.v1.DocumentInputConfigOrBuilder getInputConfigOrB * * @return Whether the documentText field is set. */ - @java.lang.Override public boolean hasDocumentText() { return documentText_ != null; } @@ -2068,7 +2047,6 @@ public boolean hasDocumentText() { * * @return The documentText. */ - @java.lang.Override public com.google.cloud.automl.v1.TextSnippet getDocumentText() { return documentText_ == null ? com.google.cloud.automl.v1.TextSnippet.getDefaultInstance() @@ -2083,7 +2061,6 @@ public com.google.cloud.automl.v1.TextSnippet getDocumentText() { * * .google.cloud.automl.v1.TextSnippet document_text = 2; */ - @java.lang.Override public com.google.cloud.automl.v1.TextSnippetOrBuilder getDocumentTextOrBuilder() { return getDocumentText(); } @@ -2100,7 +2077,6 @@ public com.google.cloud.automl.v1.TextSnippetOrBuilder getDocumentTextOrBuilder( * * repeated .google.cloud.automl.v1.Document.Layout layout = 3; */ - @java.lang.Override public java.util.List getLayoutList() { return layout_; } @@ -2114,7 +2090,6 @@ public java.util.List getLayoutList( * * repeated .google.cloud.automl.v1.Document.Layout layout = 3; */ - @java.lang.Override public java.util.List getLayoutOrBuilderList() { return layout_; @@ -2129,7 +2104,6 @@ public java.util.List getLayoutList( * * repeated .google.cloud.automl.v1.Document.Layout layout = 3; */ - @java.lang.Override public int getLayoutCount() { return layout_.size(); } @@ -2143,7 +2117,6 @@ public int getLayoutCount() { * * repeated .google.cloud.automl.v1.Document.Layout layout = 3; */ - @java.lang.Override public com.google.cloud.automl.v1.Document.Layout getLayout(int index) { return layout_.get(index); } @@ -2157,7 +2130,6 @@ public com.google.cloud.automl.v1.Document.Layout getLayout(int index) { * * repeated .google.cloud.automl.v1.Document.Layout layout = 3; */ - @java.lang.Override public com.google.cloud.automl.v1.Document.LayoutOrBuilder getLayoutOrBuilder(int index) { return layout_.get(index); } @@ -2175,7 +2147,6 @@ public com.google.cloud.automl.v1.Document.LayoutOrBuilder getLayoutOrBuilder(in * * @return Whether the documentDimensions field is set. */ - @java.lang.Override public boolean hasDocumentDimensions() { return documentDimensions_ != null; } @@ -2190,7 +2161,6 @@ public boolean hasDocumentDimensions() { * * @return The documentDimensions. */ - @java.lang.Override public com.google.cloud.automl.v1.DocumentDimensions getDocumentDimensions() { return documentDimensions_ == null ? com.google.cloud.automl.v1.DocumentDimensions.getDefaultInstance() @@ -2205,7 +2175,6 @@ public com.google.cloud.automl.v1.DocumentDimensions getDocumentDimensions() { * * .google.cloud.automl.v1.DocumentDimensions document_dimensions = 4; */ - @java.lang.Override public com.google.cloud.automl.v1.DocumentDimensionsOrBuilder getDocumentDimensionsOrBuilder() { return getDocumentDimensions(); } @@ -2223,7 +2192,6 @@ public com.google.cloud.automl.v1.DocumentDimensionsOrBuilder getDocumentDimensi * * @return The pageCount. */ - @java.lang.Override public int getPageCount() { return pageCount_; } @@ -3618,7 +3586,6 @@ public com.google.cloud.automl.v1.DocumentDimensionsOrBuilder getDocumentDimensi * * @return The pageCount. */ - @java.lang.Override public int getPageCount() { return pageCount_; } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/DocumentDimensions.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/DocumentDimensions.java index ce388f799..f55c22ee1 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/DocumentDimensions.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/DocumentDimensions.java @@ -266,10 +266,6 @@ public DocumentDimensionUnit findValueByNumber(int number) { }; public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() { - if (this == UNRECOGNIZED) { - throw new java.lang.IllegalStateException( - "Can't get the descriptor of an unrecognized enum value."); - } return getDescriptor().getValues().get(ordinal()); } @@ -316,7 +312,6 @@ private DocumentDimensionUnit(int value) { * * @return The enum numeric value on the wire for unit. */ - @java.lang.Override public int getUnitValue() { return unit_; } @@ -331,7 +326,6 @@ public int getUnitValue() { * * @return The unit. */ - @java.lang.Override public com.google.cloud.automl.v1.DocumentDimensions.DocumentDimensionUnit getUnit() { @SuppressWarnings("deprecation") com.google.cloud.automl.v1.DocumentDimensions.DocumentDimensionUnit result = @@ -354,7 +348,6 @@ public com.google.cloud.automl.v1.DocumentDimensions.DocumentDimensionUnit getUn * * @return The width. */ - @java.lang.Override public float getWidth() { return width_; } @@ -372,7 +365,6 @@ public float getWidth() { * * @return The height. */ - @java.lang.Override public float getHeight() { return height_; } @@ -742,7 +734,6 @@ public Builder mergeFrom( * * @return The enum numeric value on the wire for unit. */ - @java.lang.Override public int getUnitValue() { return unit_; } @@ -759,7 +750,6 @@ public int getUnitValue() { * @return This builder for chaining. */ public Builder setUnitValue(int value) { - unit_ = value; onChanged(); return this; @@ -775,7 +765,6 @@ public Builder setUnitValue(int value) { * * @return The unit. */ - @java.lang.Override public com.google.cloud.automl.v1.DocumentDimensions.DocumentDimensionUnit getUnit() { @SuppressWarnings("deprecation") com.google.cloud.automl.v1.DocumentDimensions.DocumentDimensionUnit result = @@ -836,7 +825,6 @@ public Builder clearUnit() { * * @return The width. */ - @java.lang.Override public float getWidth() { return width_; } @@ -888,7 +876,6 @@ public Builder clearWidth() { * * @return The height. */ - @java.lang.Override public float getHeight() { return height_; } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/DocumentInputConfig.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/DocumentInputConfig.java index d43ed54da..a1d7e07a1 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/DocumentInputConfig.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/DocumentInputConfig.java @@ -134,7 +134,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return Whether the gcsSource field is set. */ - @java.lang.Override public boolean hasGcsSource() { return gcsSource_ != null; } @@ -152,7 +151,6 @@ public boolean hasGcsSource() { * * @return The gcsSource. */ - @java.lang.Override public com.google.cloud.automl.v1.GcsSource getGcsSource() { return gcsSource_ == null ? com.google.cloud.automl.v1.GcsSource.getDefaultInstance() @@ -170,7 +168,6 @@ public com.google.cloud.automl.v1.GcsSource getGcsSource() { * * .google.cloud.automl.v1.GcsSource gcs_source = 1; */ - @java.lang.Override public com.google.cloud.automl.v1.GcsSourceOrBuilder getGcsSourceOrBuilder() { return getGcsSource(); } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ExamplePayload.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ExamplePayload.java index eff0e1ca2..e2a24536f 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ExamplePayload.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ExamplePayload.java @@ -211,7 +211,6 @@ public PayloadCase getPayloadCase() { * * @return Whether the image field is set. */ - @java.lang.Override public boolean hasImage() { return payloadCase_ == 1; } @@ -226,7 +225,6 @@ public boolean hasImage() { * * @return The image. */ - @java.lang.Override public com.google.cloud.automl.v1.Image getImage() { if (payloadCase_ == 1) { return (com.google.cloud.automl.v1.Image) payload_; @@ -242,7 +240,6 @@ public com.google.cloud.automl.v1.Image getImage() { * * .google.cloud.automl.v1.Image image = 1; */ - @java.lang.Override public com.google.cloud.automl.v1.ImageOrBuilder getImageOrBuilder() { if (payloadCase_ == 1) { return (com.google.cloud.automl.v1.Image) payload_; @@ -262,7 +259,6 @@ public com.google.cloud.automl.v1.ImageOrBuilder getImageOrBuilder() { * * @return Whether the textSnippet field is set. */ - @java.lang.Override public boolean hasTextSnippet() { return payloadCase_ == 2; } @@ -277,7 +273,6 @@ public boolean hasTextSnippet() { * * @return The textSnippet. */ - @java.lang.Override public com.google.cloud.automl.v1.TextSnippet getTextSnippet() { if (payloadCase_ == 2) { return (com.google.cloud.automl.v1.TextSnippet) payload_; @@ -293,7 +288,6 @@ public com.google.cloud.automl.v1.TextSnippet getTextSnippet() { * * .google.cloud.automl.v1.TextSnippet text_snippet = 2; */ - @java.lang.Override public com.google.cloud.automl.v1.TextSnippetOrBuilder getTextSnippetOrBuilder() { if (payloadCase_ == 2) { return (com.google.cloud.automl.v1.TextSnippet) payload_; @@ -313,7 +307,6 @@ public com.google.cloud.automl.v1.TextSnippetOrBuilder getTextSnippetOrBuilder() * * @return Whether the document field is set. */ - @java.lang.Override public boolean hasDocument() { return payloadCase_ == 4; } @@ -328,7 +321,6 @@ public boolean hasDocument() { * * @return The document. */ - @java.lang.Override public com.google.cloud.automl.v1.Document getDocument() { if (payloadCase_ == 4) { return (com.google.cloud.automl.v1.Document) payload_; @@ -344,7 +336,6 @@ public com.google.cloud.automl.v1.Document getDocument() { * * .google.cloud.automl.v1.Document document = 4; */ - @java.lang.Override public com.google.cloud.automl.v1.DocumentOrBuilder getDocumentOrBuilder() { if (payloadCase_ == 4) { return (com.google.cloud.automl.v1.Document) payload_; @@ -781,7 +772,6 @@ public Builder clearPayload() { * * @return Whether the image field is set. */ - @java.lang.Override public boolean hasImage() { return payloadCase_ == 1; } @@ -796,7 +786,6 @@ public boolean hasImage() { * * @return The image. */ - @java.lang.Override public com.google.cloud.automl.v1.Image getImage() { if (imageBuilder_ == null) { if (payloadCase_ == 1) { @@ -928,7 +917,6 @@ public com.google.cloud.automl.v1.Image.Builder getImageBuilder() { * * .google.cloud.automl.v1.Image image = 1; */ - @java.lang.Override public com.google.cloud.automl.v1.ImageOrBuilder getImageOrBuilder() { if ((payloadCase_ == 1) && (imageBuilder_ != null)) { return imageBuilder_.getMessageOrBuilder(); @@ -987,7 +975,6 @@ public com.google.cloud.automl.v1.ImageOrBuilder getImageOrBuilder() { * * @return Whether the textSnippet field is set. */ - @java.lang.Override public boolean hasTextSnippet() { return payloadCase_ == 2; } @@ -1002,7 +989,6 @@ public boolean hasTextSnippet() { * * @return The textSnippet. */ - @java.lang.Override public com.google.cloud.automl.v1.TextSnippet getTextSnippet() { if (textSnippetBuilder_ == null) { if (payloadCase_ == 2) { @@ -1134,7 +1120,6 @@ public com.google.cloud.automl.v1.TextSnippet.Builder getTextSnippetBuilder() { * * .google.cloud.automl.v1.TextSnippet text_snippet = 2; */ - @java.lang.Override public com.google.cloud.automl.v1.TextSnippetOrBuilder getTextSnippetOrBuilder() { if ((payloadCase_ == 2) && (textSnippetBuilder_ != null)) { return textSnippetBuilder_.getMessageOrBuilder(); @@ -1195,7 +1180,6 @@ public com.google.cloud.automl.v1.TextSnippetOrBuilder getTextSnippetOrBuilder() * * @return Whether the document field is set. */ - @java.lang.Override public boolean hasDocument() { return payloadCase_ == 4; } @@ -1210,7 +1194,6 @@ public boolean hasDocument() { * * @return The document. */ - @java.lang.Override public com.google.cloud.automl.v1.Document getDocument() { if (documentBuilder_ == null) { if (payloadCase_ == 4) { @@ -1342,7 +1325,6 @@ public com.google.cloud.automl.v1.Document.Builder getDocumentBuilder() { * * .google.cloud.automl.v1.Document document = 4; */ - @java.lang.Override public com.google.cloud.automl.v1.DocumentOrBuilder getDocumentOrBuilder() { if ((payloadCase_ == 4) && (documentBuilder_ != null)) { return documentBuilder_.getMessageOrBuilder(); diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ExportDataOperationMetadata.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ExportDataOperationMetadata.java index 9f3463c4b..4e6326ca0 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ExportDataOperationMetadata.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ExportDataOperationMetadata.java @@ -749,7 +749,6 @@ public Builder clearOutputLocation() { * * @return The gcsOutputDirectory. */ - @java.lang.Override public java.lang.String getGcsOutputDirectory() { java.lang.Object ref = ""; if (outputLocationCase_ == 1) { @@ -778,7 +777,6 @@ public java.lang.String getGcsOutputDirectory() { * * @return The bytes for gcsOutputDirectory. */ - @java.lang.Override public com.google.protobuf.ByteString getGcsOutputDirectoryBytes() { java.lang.Object ref = ""; if (outputLocationCase_ == 1) { @@ -931,7 +929,6 @@ public com.google.protobuf.Parser getParserForType() { * * @return Whether the outputInfo field is set. */ - @java.lang.Override public boolean hasOutputInfo() { return outputInfo_ != null; } @@ -947,7 +944,6 @@ public boolean hasOutputInfo() { * * @return The outputInfo. */ - @java.lang.Override public com.google.cloud.automl.v1.ExportDataOperationMetadata.ExportDataOutputInfo getOutputInfo() { return outputInfo_ == null @@ -965,7 +961,6 @@ public boolean hasOutputInfo() { * .google.cloud.automl.v1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1; * */ - @java.lang.Override public com.google.cloud.automl.v1.ExportDataOperationMetadata.ExportDataOutputInfoOrBuilder getOutputInfoOrBuilder() { return getOutputInfo(); diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ExportDataRequest.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ExportDataRequest.java index 2229bd283..f3fce5c97 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ExportDataRequest.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ExportDataRequest.java @@ -142,7 +142,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The name. */ - @java.lang.Override public java.lang.String getName() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { @@ -167,7 +166,6 @@ public java.lang.String getName() { * * @return The bytes for name. */ - @java.lang.Override public com.google.protobuf.ByteString getNameBytes() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { @@ -195,7 +193,6 @@ public com.google.protobuf.ByteString getNameBytes() { * * @return Whether the outputConfig field is set. */ - @java.lang.Override public boolean hasOutputConfig() { return outputConfig_ != null; } @@ -212,7 +209,6 @@ public boolean hasOutputConfig() { * * @return The outputConfig. */ - @java.lang.Override public com.google.cloud.automl.v1.OutputConfig getOutputConfig() { return outputConfig_ == null ? com.google.cloud.automl.v1.OutputConfig.getDefaultInstance() @@ -229,7 +225,6 @@ public com.google.cloud.automl.v1.OutputConfig getOutputConfig() { * .google.cloud.automl.v1.OutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; * */ - @java.lang.Override public com.google.cloud.automl.v1.OutputConfigOrBuilder getOutputConfigOrBuilder() { return getOutputConfig(); } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ExportModelOperationMetadata.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ExportModelOperationMetadata.java index eaa170ca1..99c39cd31 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ExportModelOperationMetadata.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ExportModelOperationMetadata.java @@ -263,7 +263,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The gcsOutputDirectory. */ - @java.lang.Override public java.lang.String getGcsOutputDirectory() { java.lang.Object ref = gcsOutputDirectory_; if (ref instanceof java.lang.String) { @@ -287,7 +286,6 @@ public java.lang.String getGcsOutputDirectory() { * * @return The bytes for gcsOutputDirectory. */ - @java.lang.Override public com.google.protobuf.ByteString getGcsOutputDirectoryBytes() { java.lang.Object ref = gcsOutputDirectory_; if (ref instanceof java.lang.String) { @@ -832,7 +830,6 @@ public com.google.protobuf.Parser getParserForType() { * * @return Whether the outputInfo field is set. */ - @java.lang.Override public boolean hasOutputInfo() { return outputInfo_ != null; } @@ -850,7 +847,6 @@ public boolean hasOutputInfo() { * * @return The outputInfo. */ - @java.lang.Override public com.google.cloud.automl.v1.ExportModelOperationMetadata.ExportModelOutputInfo getOutputInfo() { return outputInfo_ == null @@ -870,7 +866,6 @@ public boolean hasOutputInfo() { * .google.cloud.automl.v1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2; * */ - @java.lang.Override public com.google.cloud.automl.v1.ExportModelOperationMetadata.ExportModelOutputInfoOrBuilder getOutputInfoOrBuilder() { return getOutputInfo(); diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ExportModelRequest.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ExportModelRequest.java index 472e6c999..03fe5b261 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ExportModelRequest.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ExportModelRequest.java @@ -145,7 +145,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The name. */ - @java.lang.Override public java.lang.String getName() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { @@ -170,7 +169,6 @@ public java.lang.String getName() { * * @return The bytes for name. */ - @java.lang.Override public com.google.protobuf.ByteString getNameBytes() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { @@ -198,7 +196,6 @@ public com.google.protobuf.ByteString getNameBytes() { * * @return Whether the outputConfig field is set. */ - @java.lang.Override public boolean hasOutputConfig() { return outputConfig_ != null; } @@ -215,7 +212,6 @@ public boolean hasOutputConfig() { * * @return The outputConfig. */ - @java.lang.Override public com.google.cloud.automl.v1.ModelExportOutputConfig getOutputConfig() { return outputConfig_ == null ? com.google.cloud.automl.v1.ModelExportOutputConfig.getDefaultInstance() @@ -232,7 +228,6 @@ public com.google.cloud.automl.v1.ModelExportOutputConfig getOutputConfig() { * .google.cloud.automl.v1.ModelExportOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; * */ - @java.lang.Override public com.google.cloud.automl.v1.ModelExportOutputConfigOrBuilder getOutputConfigOrBuilder() { return getOutputConfig(); } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/GcsDestination.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/GcsDestination.java index 4e5efb54d..039ae0abb 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/GcsDestination.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/GcsDestination.java @@ -129,7 +129,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The outputUriPrefix. */ - @java.lang.Override public java.lang.String getOutputUriPrefix() { java.lang.Object ref = outputUriPrefix_; if (ref instanceof java.lang.String) { @@ -157,7 +156,6 @@ public java.lang.String getOutputUriPrefix() { * * @return The bytes for outputUriPrefix. */ - @java.lang.Override public com.google.protobuf.ByteString getOutputUriPrefixBytes() { java.lang.Object ref = outputUriPrefix_; if (ref instanceof java.lang.String) { diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/GetAnnotationSpecRequest.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/GetAnnotationSpecRequest.java index bdcc9a6d0..1d4211c56 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/GetAnnotationSpecRequest.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/GetAnnotationSpecRequest.java @@ -126,7 +126,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The name. */ - @java.lang.Override public java.lang.String getName() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { @@ -151,7 +150,6 @@ public java.lang.String getName() { * * @return The bytes for name. */ - @java.lang.Override public com.google.protobuf.ByteString getNameBytes() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/GetDatasetRequest.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/GetDatasetRequest.java index 7089cff35..3c29108fe 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/GetDatasetRequest.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/GetDatasetRequest.java @@ -126,7 +126,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The name. */ - @java.lang.Override public java.lang.String getName() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { @@ -151,7 +150,6 @@ public java.lang.String getName() { * * @return The bytes for name. */ - @java.lang.Override public com.google.protobuf.ByteString getNameBytes() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/GetModelEvaluationRequest.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/GetModelEvaluationRequest.java index 99ff26a47..9882f7cdd 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/GetModelEvaluationRequest.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/GetModelEvaluationRequest.java @@ -126,7 +126,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The name. */ - @java.lang.Override public java.lang.String getName() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { @@ -151,7 +150,6 @@ public java.lang.String getName() { * * @return The bytes for name. */ - @java.lang.Override public com.google.protobuf.ByteString getNameBytes() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/GetModelRequest.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/GetModelRequest.java index 00d5fea15..1176aef44 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/GetModelRequest.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/GetModelRequest.java @@ -126,7 +126,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The name. */ - @java.lang.Override public java.lang.String getName() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { @@ -151,7 +150,6 @@ public java.lang.String getName() { * * @return The bytes for name. */ - @java.lang.Override public com.google.protobuf.ByteString getNameBytes() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/Image.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/Image.java index 6d2df04b0..1ef517943 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/Image.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/Image.java @@ -175,7 +175,6 @@ public DataCase getDataCase() { * * @return The imageBytes. */ - @java.lang.Override public com.google.protobuf.ByteString getImageBytes() { if (dataCase_ == 1) { return (com.google.protobuf.ByteString) data_; @@ -196,7 +195,6 @@ public com.google.protobuf.ByteString getImageBytes() { * * @return The thumbnailUri. */ - @java.lang.Override public java.lang.String getThumbnailUri() { java.lang.Object ref = thumbnailUri_; if (ref instanceof java.lang.String) { @@ -219,7 +217,6 @@ public java.lang.String getThumbnailUri() { * * @return The bytes for thumbnailUri. */ - @java.lang.Override public com.google.protobuf.ByteString getThumbnailUriBytes() { java.lang.Object ref = thumbnailUri_; if (ref instanceof java.lang.String) { diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageClassificationDatasetMetadata.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageClassificationDatasetMetadata.java index 33aa1a777..6df9994f2 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageClassificationDatasetMetadata.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageClassificationDatasetMetadata.java @@ -125,7 +125,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The enum numeric value on the wire for classificationType. */ - @java.lang.Override public int getClassificationTypeValue() { return classificationType_; } @@ -140,7 +139,6 @@ public int getClassificationTypeValue() { * * @return The classificationType. */ - @java.lang.Override public com.google.cloud.automl.v1.ClassificationType getClassificationType() { @SuppressWarnings("deprecation") com.google.cloud.automl.v1.ClassificationType result = @@ -485,7 +483,6 @@ public Builder mergeFrom( * * @return The enum numeric value on the wire for classificationType. */ - @java.lang.Override public int getClassificationTypeValue() { return classificationType_; } @@ -502,7 +499,6 @@ public int getClassificationTypeValue() { * @return This builder for chaining. */ public Builder setClassificationTypeValue(int value) { - classificationType_ = value; onChanged(); return this; @@ -518,7 +514,6 @@ public Builder setClassificationTypeValue(int value) { * * @return The classificationType. */ - @java.lang.Override public com.google.cloud.automl.v1.ClassificationType getClassificationType() { @SuppressWarnings("deprecation") com.google.cloud.automl.v1.ClassificationType result = diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageClassificationModelDeploymentMetadata.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageClassificationModelDeploymentMetadata.java index 8663c6790..40d5843f5 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageClassificationModelDeploymentMetadata.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageClassificationModelDeploymentMetadata.java @@ -126,7 +126,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The nodeCount. */ - @java.lang.Override public long getNodeCount() { return nodeCount_; } @@ -473,7 +472,6 @@ public Builder mergeFrom( * * @return The nodeCount. */ - @java.lang.Override public long getNodeCount() { return nodeCount_; } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageClassificationModelMetadata.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageClassificationModelMetadata.java index 3ffe369eb..2a8a2f804 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageClassificationModelMetadata.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageClassificationModelMetadata.java @@ -165,7 +165,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The baseModelId. */ - @java.lang.Override public java.lang.String getBaseModelId() { java.lang.Object ref = baseModelId_; if (ref instanceof java.lang.String) { @@ -192,7 +191,6 @@ public java.lang.String getBaseModelId() { * * @return The bytes for baseModelId. */ - @java.lang.Override public com.google.protobuf.ByteString getBaseModelIdBytes() { java.lang.Object ref = baseModelId_; if (ref instanceof java.lang.String) { @@ -231,7 +229,6 @@ public com.google.protobuf.ByteString getBaseModelIdBytes() { * * @return The trainBudgetMilliNodeHours. */ - @java.lang.Override public long getTrainBudgetMilliNodeHours() { return trainBudgetMilliNodeHours_; } @@ -251,7 +248,6 @@ public long getTrainBudgetMilliNodeHours() { * * @return The trainCostMilliNodeHours. */ - @java.lang.Override public long getTrainCostMilliNodeHours() { return trainCostMilliNodeHours_; } @@ -270,7 +266,6 @@ public long getTrainCostMilliNodeHours() { * * @return The stopReason. */ - @java.lang.Override public java.lang.String getStopReason() { java.lang.Object ref = stopReason_; if (ref instanceof java.lang.String) { @@ -294,7 +289,6 @@ public java.lang.String getStopReason() { * * @return The bytes for stopReason. */ - @java.lang.Override public com.google.protobuf.ByteString getStopReasonBytes() { java.lang.Object ref = stopReason_; if (ref instanceof java.lang.String) { @@ -352,7 +346,6 @@ public com.google.protobuf.ByteString getStopReasonBytes() { * * @return The modelType. */ - @java.lang.Override public java.lang.String getModelType() { java.lang.Object ref = modelType_; if (ref instanceof java.lang.String) { @@ -407,7 +400,6 @@ public java.lang.String getModelType() { * * @return The bytes for modelType. */ - @java.lang.Override public com.google.protobuf.ByteString getModelTypeBytes() { java.lang.Object ref = modelType_; if (ref instanceof java.lang.String) { @@ -434,7 +426,6 @@ public com.google.protobuf.ByteString getModelTypeBytes() { * * @return The nodeQps. */ - @java.lang.Override public double getNodeQps() { return nodeQps_; } @@ -454,7 +445,6 @@ public double getNodeQps() { * * @return The nodeCount. */ - @java.lang.Override public long getNodeCount() { return nodeCount_; } @@ -1026,7 +1016,6 @@ public Builder setBaseModelIdBytes(com.google.protobuf.ByteString value) { * * @return The trainBudgetMilliNodeHours. */ - @java.lang.Override public long getTrainBudgetMilliNodeHours() { return trainBudgetMilliNodeHours_; } @@ -1106,7 +1095,6 @@ public Builder clearTrainBudgetMilliNodeHours() { * * @return The trainCostMilliNodeHours. */ - @java.lang.Override public long getTrainCostMilliNodeHours() { return trainCostMilliNodeHours_; } @@ -1540,7 +1528,6 @@ public Builder setModelTypeBytes(com.google.protobuf.ByteString value) { * * @return The nodeQps. */ - @java.lang.Override public double getNodeQps() { return nodeQps_; } @@ -1596,7 +1583,6 @@ public Builder clearNodeQps() { * * @return The nodeCount. */ - @java.lang.Override public long getNodeCount() { return nodeCount_; } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageObjectDetectionAnnotation.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageObjectDetectionAnnotation.java index 459327f5d..6fd3c8a17 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageObjectDetectionAnnotation.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageObjectDetectionAnnotation.java @@ -137,7 +137,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return Whether the boundingBox field is set. */ - @java.lang.Override public boolean hasBoundingBox() { return boundingBox_ != null; } @@ -152,7 +151,6 @@ public boolean hasBoundingBox() { * * @return The boundingBox. */ - @java.lang.Override public com.google.cloud.automl.v1.BoundingPoly getBoundingBox() { return boundingBox_ == null ? com.google.cloud.automl.v1.BoundingPoly.getDefaultInstance() @@ -167,7 +165,6 @@ public com.google.cloud.automl.v1.BoundingPoly getBoundingBox() { * * .google.cloud.automl.v1.BoundingPoly bounding_box = 1; */ - @java.lang.Override public com.google.cloud.automl.v1.BoundingPolyOrBuilder getBoundingBoxOrBuilder() { return getBoundingBox(); } @@ -186,7 +183,6 @@ public com.google.cloud.automl.v1.BoundingPolyOrBuilder getBoundingBoxOrBuilder( * * @return The score. */ - @java.lang.Override public float getScore() { return score_; } @@ -736,7 +732,6 @@ public com.google.cloud.automl.v1.BoundingPolyOrBuilder getBoundingBoxOrBuilder( * * @return The score. */ - @java.lang.Override public float getScore() { return score_; } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageObjectDetectionEvaluationMetrics.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageObjectDetectionEvaluationMetrics.java index b65f5e6a7..d83d4e657 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageObjectDetectionEvaluationMetrics.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageObjectDetectionEvaluationMetrics.java @@ -149,7 +149,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The evaluatedBoundingBoxCount. */ - @java.lang.Override public int getEvaluatedBoundingBoxCount() { return evaluatedBoundingBoxCount_; } @@ -171,7 +170,6 @@ public int getEvaluatedBoundingBoxCount() { * repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; * */ - @java.lang.Override public java.util.List getBoundingBoxMetricsEntriesList() { return boundingBoxMetricsEntries_; @@ -190,7 +188,6 @@ public int getEvaluatedBoundingBoxCount() { * repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; * */ - @java.lang.Override public java.util.List getBoundingBoxMetricsEntriesOrBuilderList() { return boundingBoxMetricsEntries_; @@ -209,7 +206,6 @@ public int getEvaluatedBoundingBoxCount() { * repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; * */ - @java.lang.Override public int getBoundingBoxMetricsEntriesCount() { return boundingBoxMetricsEntries_.size(); } @@ -227,7 +223,6 @@ public int getBoundingBoxMetricsEntriesCount() { * repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; * */ - @java.lang.Override public com.google.cloud.automl.v1.BoundingBoxMetricsEntry getBoundingBoxMetricsEntries( int index) { return boundingBoxMetricsEntries_.get(index); @@ -246,7 +241,6 @@ public com.google.cloud.automl.v1.BoundingBoxMetricsEntry getBoundingBoxMetricsE * repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; * */ - @java.lang.Override public com.google.cloud.automl.v1.BoundingBoxMetricsEntryOrBuilder getBoundingBoxMetricsEntriesOrBuilder(int index) { return boundingBoxMetricsEntries_.get(index); @@ -266,7 +260,6 @@ public com.google.cloud.automl.v1.BoundingBoxMetricsEntry getBoundingBoxMetricsE * * @return The boundingBoxMeanAveragePrecision. */ - @java.lang.Override public float getBoundingBoxMeanAveragePrecision() { return boundingBoxMeanAveragePrecision_; } @@ -687,7 +680,6 @@ public Builder mergeFrom( * * @return The evaluatedBoundingBoxCount. */ - @java.lang.Override public int getEvaluatedBoundingBoxCount() { return evaluatedBoundingBoxCount_; } @@ -1197,7 +1189,6 @@ public Builder removeBoundingBoxMetricsEntries(int index) { * * @return The boundingBoxMeanAveragePrecision. */ - @java.lang.Override public float getBoundingBoxMeanAveragePrecision() { return boundingBoxMeanAveragePrecision_; } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageObjectDetectionModelDeploymentMetadata.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageObjectDetectionModelDeploymentMetadata.java index 23bb23349..1951f4573 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageObjectDetectionModelDeploymentMetadata.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageObjectDetectionModelDeploymentMetadata.java @@ -126,7 +126,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The nodeCount. */ - @java.lang.Override public long getNodeCount() { return nodeCount_; } @@ -474,7 +473,6 @@ public Builder mergeFrom( * * @return The nodeCount. */ - @java.lang.Override public long getNodeCount() { return nodeCount_; } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageObjectDetectionModelMetadata.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageObjectDetectionModelMetadata.java index 4c09382a0..e0bbd9b70 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageObjectDetectionModelMetadata.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImageObjectDetectionModelMetadata.java @@ -175,7 +175,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The modelType. */ - @java.lang.Override public java.lang.String getModelType() { java.lang.Object ref = modelType_; if (ref instanceof java.lang.String) { @@ -220,7 +219,6 @@ public java.lang.String getModelType() { * * @return The bytes for modelType. */ - @java.lang.Override public com.google.protobuf.ByteString getModelTypeBytes() { java.lang.Object ref = modelType_; if (ref instanceof java.lang.String) { @@ -248,7 +246,6 @@ public com.google.protobuf.ByteString getModelTypeBytes() { * * @return The nodeCount. */ - @java.lang.Override public long getNodeCount() { return nodeCount_; } @@ -267,7 +264,6 @@ public long getNodeCount() { * * @return The nodeQps. */ - @java.lang.Override public double getNodeQps() { return nodeQps_; } @@ -286,7 +282,6 @@ public double getNodeQps() { * * @return The stopReason. */ - @java.lang.Override public java.lang.String getStopReason() { java.lang.Object ref = stopReason_; if (ref instanceof java.lang.String) { @@ -310,7 +305,6 @@ public java.lang.String getStopReason() { * * @return The bytes for stopReason. */ - @java.lang.Override public com.google.protobuf.ByteString getStopReasonBytes() { java.lang.Object ref = stopReason_; if (ref instanceof java.lang.String) { @@ -350,7 +344,6 @@ public com.google.protobuf.ByteString getStopReasonBytes() { * * @return The trainBudgetMilliNodeHours. */ - @java.lang.Override public long getTrainBudgetMilliNodeHours() { return trainBudgetMilliNodeHours_; } @@ -370,7 +363,6 @@ public long getTrainBudgetMilliNodeHours() { * * @return The trainCostMilliNodeHours. */ - @java.lang.Override public long getTrainCostMilliNodeHours() { return trainCostMilliNodeHours_; } @@ -1006,7 +998,6 @@ public Builder setModelTypeBytes(com.google.protobuf.ByteString value) { * * @return The nodeCount. */ - @java.lang.Override public long getNodeCount() { return nodeCount_; } @@ -1063,7 +1054,6 @@ public Builder clearNodeCount() { * * @return The nodeQps. */ - @java.lang.Override public double getNodeQps() { return nodeQps_; } @@ -1242,7 +1232,6 @@ public Builder setStopReasonBytes(com.google.protobuf.ByteString value) { * * @return The trainBudgetMilliNodeHours. */ - @java.lang.Override public long getTrainBudgetMilliNodeHours() { return trainBudgetMilliNodeHours_; } @@ -1324,7 +1313,6 @@ public Builder clearTrainBudgetMilliNodeHours() { * * @return The trainCostMilliNodeHours. */ - @java.lang.Override public long getTrainCostMilliNodeHours() { return trainCostMilliNodeHours_; } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImportDataRequest.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImportDataRequest.java index ecad8d9c4..4f126c349 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImportDataRequest.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ImportDataRequest.java @@ -143,7 +143,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The name. */ - @java.lang.Override public java.lang.String getName() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { @@ -169,7 +168,6 @@ public java.lang.String getName() { * * @return The bytes for name. */ - @java.lang.Override public com.google.protobuf.ByteString getNameBytes() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { @@ -198,7 +196,6 @@ public com.google.protobuf.ByteString getNameBytes() { * * @return Whether the inputConfig field is set. */ - @java.lang.Override public boolean hasInputConfig() { return inputConfig_ != null; } @@ -216,7 +213,6 @@ public boolean hasInputConfig() { * * @return The inputConfig. */ - @java.lang.Override public com.google.cloud.automl.v1.InputConfig getInputConfig() { return inputConfig_ == null ? com.google.cloud.automl.v1.InputConfig.getDefaultInstance() @@ -234,7 +230,6 @@ public com.google.cloud.automl.v1.InputConfig getInputConfig() { * .google.cloud.automl.v1.InputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; * */ - @java.lang.Override public com.google.cloud.automl.v1.InputConfigOrBuilder getInputConfigOrBuilder() { return getInputConfig(); } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/InputConfig.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/InputConfig.java index 062c26564..cbbf7bc58 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/InputConfig.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/InputConfig.java @@ -671,7 +671,6 @@ public SourceCase getSourceCase() { * * @return Whether the gcsSource field is set. */ - @java.lang.Override public boolean hasGcsSource() { return sourceCase_ == 1; } @@ -688,7 +687,6 @@ public boolean hasGcsSource() { * * @return The gcsSource. */ - @java.lang.Override public com.google.cloud.automl.v1.GcsSource getGcsSource() { if (sourceCase_ == 1) { return (com.google.cloud.automl.v1.GcsSource) source_; @@ -706,7 +704,6 @@ public com.google.cloud.automl.v1.GcsSource getGcsSource() { * * .google.cloud.automl.v1.GcsSource gcs_source = 1; */ - @java.lang.Override public com.google.cloud.automl.v1.GcsSourceOrBuilder getGcsSourceOrBuilder() { if (sourceCase_ == 1) { return (com.google.cloud.automl.v1.GcsSource) source_; @@ -756,7 +753,6 @@ public int getParamsCount() { * * map<string, string> params = 2; */ - @java.lang.Override public boolean containsParams(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); @@ -764,7 +760,6 @@ public boolean containsParams(java.lang.String key) { return internalGetParams().getMap().containsKey(key); } /** Use {@link #getParamsMap()} instead. */ - @java.lang.Override @java.lang.Deprecated public java.util.Map getParams() { return getParamsMap(); @@ -786,7 +781,6 @@ public java.util.Map getParams() { * * map<string, string> params = 2; */ - @java.lang.Override public java.util.Map getParamsMap() { return internalGetParams().getMap(); } @@ -807,7 +801,6 @@ public java.util.Map getParamsMap() { * * map<string, string> params = 2; */ - @java.lang.Override public java.lang.String getParamsOrDefault(java.lang.String key, java.lang.String defaultValue) { if (key == null) { throw new java.lang.NullPointerException(); @@ -832,7 +825,6 @@ public java.lang.String getParamsOrDefault(java.lang.String key, java.lang.Strin * * map<string, string> params = 2; */ - @java.lang.Override public java.lang.String getParamsOrThrow(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); @@ -1734,7 +1726,6 @@ public Builder clearSource() { * * @return Whether the gcsSource field is set. */ - @java.lang.Override public boolean hasGcsSource() { return sourceCase_ == 1; } @@ -1751,7 +1742,6 @@ public boolean hasGcsSource() { * * @return The gcsSource. */ - @java.lang.Override public com.google.cloud.automl.v1.GcsSource getGcsSource() { if (gcsSourceBuilder_ == null) { if (sourceCase_ == 1) { @@ -1895,7 +1885,6 @@ public com.google.cloud.automl.v1.GcsSource.Builder getGcsSourceBuilder() { * * .google.cloud.automl.v1.GcsSource gcs_source = 1; */ - @java.lang.Override public com.google.cloud.automl.v1.GcsSourceOrBuilder getGcsSourceOrBuilder() { if ((sourceCase_ == 1) && (gcsSourceBuilder_ != null)) { return gcsSourceBuilder_.getMessageOrBuilder(); @@ -1982,7 +1971,6 @@ public int getParamsCount() { * * map<string, string> params = 2; */ - @java.lang.Override public boolean containsParams(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); @@ -1990,7 +1978,6 @@ public boolean containsParams(java.lang.String key) { return internalGetParams().getMap().containsKey(key); } /** Use {@link #getParamsMap()} instead. */ - @java.lang.Override @java.lang.Deprecated public java.util.Map getParams() { return getParamsMap(); @@ -2012,7 +1999,6 @@ public java.util.Map getParams() { * * map<string, string> params = 2; */ - @java.lang.Override public java.util.Map getParamsMap() { return internalGetParams().getMap(); } @@ -2033,7 +2019,6 @@ public java.util.Map getParamsMap() { * * map<string, string> params = 2; */ - @java.lang.Override public java.lang.String getParamsOrDefault( java.lang.String key, java.lang.String defaultValue) { if (key == null) { @@ -2059,7 +2044,6 @@ public java.lang.String getParamsOrDefault( * * map<string, string> params = 2; */ - @java.lang.Override public java.lang.String getParamsOrThrow(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListDatasetsRequest.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListDatasetsRequest.java index 65993c333..b51d97e97 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListDatasetsRequest.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListDatasetsRequest.java @@ -147,7 +147,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The parent. */ - @java.lang.Override public java.lang.String getParent() { java.lang.Object ref = parent_; if (ref instanceof java.lang.String) { @@ -172,7 +171,6 @@ public java.lang.String getParent() { * * @return The bytes for parent. */ - @java.lang.Override public com.google.protobuf.ByteString getParentBytes() { java.lang.Object ref = parent_; if (ref instanceof java.lang.String) { @@ -202,7 +200,6 @@ public com.google.protobuf.ByteString getParentBytes() { * * @return The filter. */ - @java.lang.Override public java.lang.String getFilter() { java.lang.Object ref = filter_; if (ref instanceof java.lang.String) { @@ -229,7 +226,6 @@ public java.lang.String getFilter() { * * @return The bytes for filter. */ - @java.lang.Override public com.google.protobuf.ByteString getFilterBytes() { java.lang.Object ref = filter_; if (ref instanceof java.lang.String) { @@ -256,7 +252,6 @@ public com.google.protobuf.ByteString getFilterBytes() { * * @return The pageSize. */ - @java.lang.Override public int getPageSize() { return pageSize_; } @@ -277,7 +272,6 @@ public int getPageSize() { * * @return The pageToken. */ - @java.lang.Override public java.lang.String getPageToken() { java.lang.Object ref = pageToken_; if (ref instanceof java.lang.String) { @@ -303,7 +297,6 @@ public java.lang.String getPageToken() { * * @return The bytes for pageToken. */ - @java.lang.Override public com.google.protobuf.ByteString getPageTokenBytes() { java.lang.Object ref = pageToken_; if (ref instanceof java.lang.String) { @@ -934,7 +927,6 @@ public Builder setFilterBytes(com.google.protobuf.ByteString value) { * * @return The pageSize. */ - @java.lang.Override public int getPageSize() { return pageSize_; } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListDatasetsResponse.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListDatasetsResponse.java index edfb7c195..a25b3f017 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListDatasetsResponse.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListDatasetsResponse.java @@ -138,7 +138,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * repeated .google.cloud.automl.v1.Dataset datasets = 1; */ - @java.lang.Override public java.util.List getDatasetsList() { return datasets_; } @@ -151,7 +150,6 @@ public java.util.List getDatasetsList() { * * repeated .google.cloud.automl.v1.Dataset datasets = 1; */ - @java.lang.Override public java.util.List getDatasetsOrBuilderList() { return datasets_; @@ -165,7 +163,6 @@ public java.util.List getDatasetsList() { * * repeated .google.cloud.automl.v1.Dataset datasets = 1; */ - @java.lang.Override public int getDatasetsCount() { return datasets_.size(); } @@ -178,7 +175,6 @@ public int getDatasetsCount() { * * repeated .google.cloud.automl.v1.Dataset datasets = 1; */ - @java.lang.Override public com.google.cloud.automl.v1.Dataset getDatasets(int index) { return datasets_.get(index); } @@ -191,7 +187,6 @@ public com.google.cloud.automl.v1.Dataset getDatasets(int index) { * * repeated .google.cloud.automl.v1.Dataset datasets = 1; */ - @java.lang.Override public com.google.cloud.automl.v1.DatasetOrBuilder getDatasetsOrBuilder(int index) { return datasets_.get(index); } @@ -210,7 +205,6 @@ public com.google.cloud.automl.v1.DatasetOrBuilder getDatasetsOrBuilder(int inde * * @return The nextPageToken. */ - @java.lang.Override public java.lang.String getNextPageToken() { java.lang.Object ref = nextPageToken_; if (ref instanceof java.lang.String) { @@ -234,7 +228,6 @@ public java.lang.String getNextPageToken() { * * @return The bytes for nextPageToken. */ - @java.lang.Override public com.google.protobuf.ByteString getNextPageTokenBytes() { java.lang.Object ref = nextPageToken_; if (ref instanceof java.lang.String) { diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListModelEvaluationsRequest.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListModelEvaluationsRequest.java index 3be777c1f..29743327c 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListModelEvaluationsRequest.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListModelEvaluationsRequest.java @@ -149,7 +149,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The parent. */ - @java.lang.Override public java.lang.String getParent() { java.lang.Object ref = parent_; if (ref instanceof java.lang.String) { @@ -176,7 +175,6 @@ public java.lang.String getParent() { * * @return The bytes for parent. */ - @java.lang.Override public com.google.protobuf.ByteString getParentBytes() { java.lang.Object ref = parent_; if (ref instanceof java.lang.String) { @@ -209,7 +207,6 @@ public com.google.protobuf.ByteString getParentBytes() { * * @return The filter. */ - @java.lang.Override public java.lang.String getFilter() { java.lang.Object ref = filter_; if (ref instanceof java.lang.String) { @@ -239,7 +236,6 @@ public java.lang.String getFilter() { * * @return The bytes for filter. */ - @java.lang.Override public com.google.protobuf.ByteString getFilterBytes() { java.lang.Object ref = filter_; if (ref instanceof java.lang.String) { @@ -265,7 +261,6 @@ public com.google.protobuf.ByteString getFilterBytes() { * * @return The pageSize. */ - @java.lang.Override public int getPageSize() { return pageSize_; } @@ -286,7 +281,6 @@ public int getPageSize() { * * @return The pageToken. */ - @java.lang.Override public java.lang.String getPageToken() { java.lang.Object ref = pageToken_; if (ref instanceof java.lang.String) { @@ -312,7 +306,6 @@ public java.lang.String getPageToken() { * * @return The bytes for pageToken. */ - @java.lang.Override public com.google.protobuf.ByteString getPageTokenBytes() { java.lang.Object ref = pageToken_; if (ref instanceof java.lang.String) { @@ -970,7 +963,6 @@ public Builder setFilterBytes(com.google.protobuf.ByteString value) { * * @return The pageSize. */ - @java.lang.Override public int getPageSize() { return pageSize_; } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListModelEvaluationsResponse.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListModelEvaluationsResponse.java index d47ec5fe7..cc56a45b9 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListModelEvaluationsResponse.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListModelEvaluationsResponse.java @@ -139,7 +139,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * repeated .google.cloud.automl.v1.ModelEvaluation model_evaluation = 1; */ - @java.lang.Override public java.util.List getModelEvaluationList() { return modelEvaluation_; } @@ -152,7 +151,6 @@ public java.util.List getModelEvalua * * repeated .google.cloud.automl.v1.ModelEvaluation model_evaluation = 1; */ - @java.lang.Override public java.util.List getModelEvaluationOrBuilderList() { return modelEvaluation_; @@ -166,7 +164,6 @@ public java.util.List getModelEvalua * * repeated .google.cloud.automl.v1.ModelEvaluation model_evaluation = 1; */ - @java.lang.Override public int getModelEvaluationCount() { return modelEvaluation_.size(); } @@ -179,7 +176,6 @@ public int getModelEvaluationCount() { * * repeated .google.cloud.automl.v1.ModelEvaluation model_evaluation = 1; */ - @java.lang.Override public com.google.cloud.automl.v1.ModelEvaluation getModelEvaluation(int index) { return modelEvaluation_.get(index); } @@ -192,7 +188,6 @@ public com.google.cloud.automl.v1.ModelEvaluation getModelEvaluation(int index) * * repeated .google.cloud.automl.v1.ModelEvaluation model_evaluation = 1; */ - @java.lang.Override public com.google.cloud.automl.v1.ModelEvaluationOrBuilder getModelEvaluationOrBuilder( int index) { return modelEvaluation_.get(index); @@ -213,7 +208,6 @@ public com.google.cloud.automl.v1.ModelEvaluationOrBuilder getModelEvaluationOrB * * @return The nextPageToken. */ - @java.lang.Override public java.lang.String getNextPageToken() { java.lang.Object ref = nextPageToken_; if (ref instanceof java.lang.String) { @@ -238,7 +232,6 @@ public java.lang.String getNextPageToken() { * * @return The bytes for nextPageToken. */ - @java.lang.Override public com.google.protobuf.ByteString getNextPageTokenBytes() { java.lang.Object ref = nextPageToken_; if (ref instanceof java.lang.String) { diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListModelsRequest.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListModelsRequest.java index a0e6bb60a..a3de7a1d6 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListModelsRequest.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListModelsRequest.java @@ -147,7 +147,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The parent. */ - @java.lang.Override public java.lang.String getParent() { java.lang.Object ref = parent_; if (ref instanceof java.lang.String) { @@ -172,7 +171,6 @@ public java.lang.String getParent() { * * @return The bytes for parent. */ - @java.lang.Override public com.google.protobuf.ByteString getParentBytes() { java.lang.Object ref = parent_; if (ref instanceof java.lang.String) { @@ -204,7 +202,6 @@ public com.google.protobuf.ByteString getParentBytes() { * * @return The filter. */ - @java.lang.Override public java.lang.String getFilter() { java.lang.Object ref = filter_; if (ref instanceof java.lang.String) { @@ -233,7 +230,6 @@ public java.lang.String getFilter() { * * @return The bytes for filter. */ - @java.lang.Override public com.google.protobuf.ByteString getFilterBytes() { java.lang.Object ref = filter_; if (ref instanceof java.lang.String) { @@ -259,7 +255,6 @@ public com.google.protobuf.ByteString getFilterBytes() { * * @return The pageSize. */ - @java.lang.Override public int getPageSize() { return pageSize_; } @@ -280,7 +275,6 @@ public int getPageSize() { * * @return The pageToken. */ - @java.lang.Override public java.lang.String getPageToken() { java.lang.Object ref = pageToken_; if (ref instanceof java.lang.String) { @@ -306,7 +300,6 @@ public java.lang.String getPageToken() { * * @return The bytes for pageToken. */ - @java.lang.Override public com.google.protobuf.ByteString getPageTokenBytes() { java.lang.Object ref = pageToken_; if (ref instanceof java.lang.String) { @@ -946,7 +939,6 @@ public Builder setFilterBytes(com.google.protobuf.ByteString value) { * * @return The pageSize. */ - @java.lang.Override public int getPageSize() { return pageSize_; } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListModelsResponse.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListModelsResponse.java index c510fcaf9..5def859a2 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListModelsResponse.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListModelsResponse.java @@ -137,7 +137,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * repeated .google.cloud.automl.v1.Model model = 1; */ - @java.lang.Override public java.util.List getModelList() { return model_; } @@ -150,7 +149,6 @@ public java.util.List getModelList() { * * repeated .google.cloud.automl.v1.Model model = 1; */ - @java.lang.Override public java.util.List getModelOrBuilderList() { return model_; @@ -164,7 +162,6 @@ public java.util.List getModelList() { * * repeated .google.cloud.automl.v1.Model model = 1; */ - @java.lang.Override public int getModelCount() { return model_.size(); } @@ -177,7 +174,6 @@ public int getModelCount() { * * repeated .google.cloud.automl.v1.Model model = 1; */ - @java.lang.Override public com.google.cloud.automl.v1.Model getModel(int index) { return model_.get(index); } @@ -190,7 +186,6 @@ public com.google.cloud.automl.v1.Model getModel(int index) { * * repeated .google.cloud.automl.v1.Model model = 1; */ - @java.lang.Override public com.google.cloud.automl.v1.ModelOrBuilder getModelOrBuilder(int index) { return model_.get(index); } @@ -209,7 +204,6 @@ public com.google.cloud.automl.v1.ModelOrBuilder getModelOrBuilder(int index) { * * @return The nextPageToken. */ - @java.lang.Override public java.lang.String getNextPageToken() { java.lang.Object ref = nextPageToken_; if (ref instanceof java.lang.String) { @@ -233,7 +227,6 @@ public java.lang.String getNextPageToken() { * * @return The bytes for nextPageToken. */ - @java.lang.Override public com.google.protobuf.ByteString getNextPageTokenBytes() { java.lang.Object ref = nextPageToken_; if (ref instanceof java.lang.String) { diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/Model.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/Model.java index 275c80f10..5c8cca0cd 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/Model.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/Model.java @@ -440,10 +440,6 @@ public DeploymentState findValueByNumber(int number) { }; public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() { - if (this == UNRECOGNIZED) { - throw new java.lang.IllegalStateException( - "Can't get the descriptor of an unrecognized enum value."); - } return getDescriptor().getValues().get(ordinal()); } @@ -548,7 +544,6 @@ public ModelMetadataCase getModelMetadataCase() { * * @return Whether the translationModelMetadata field is set. */ - @java.lang.Override public boolean hasTranslationModelMetadata() { return modelMetadataCase_ == 15; } @@ -563,7 +558,6 @@ public boolean hasTranslationModelMetadata() { * * @return The translationModelMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.TranslationModelMetadata getTranslationModelMetadata() { if (modelMetadataCase_ == 15) { return (com.google.cloud.automl.v1.TranslationModelMetadata) modelMetadata_; @@ -579,7 +573,6 @@ public com.google.cloud.automl.v1.TranslationModelMetadata getTranslationModelMe * * .google.cloud.automl.v1.TranslationModelMetadata translation_model_metadata = 15; */ - @java.lang.Override public com.google.cloud.automl.v1.TranslationModelMetadataOrBuilder getTranslationModelMetadataOrBuilder() { if (modelMetadataCase_ == 15) { @@ -602,7 +595,6 @@ public com.google.cloud.automl.v1.TranslationModelMetadata getTranslationModelMe * * @return Whether the imageClassificationModelMetadata field is set. */ - @java.lang.Override public boolean hasImageClassificationModelMetadata() { return modelMetadataCase_ == 13; } @@ -619,7 +611,6 @@ public boolean hasImageClassificationModelMetadata() { * * @return The imageClassificationModelMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.ImageClassificationModelMetadata getImageClassificationModelMetadata() { if (modelMetadataCase_ == 13) { @@ -638,7 +629,6 @@ public boolean hasImageClassificationModelMetadata() { * .google.cloud.automl.v1.ImageClassificationModelMetadata image_classification_model_metadata = 13; * */ - @java.lang.Override public com.google.cloud.automl.v1.ImageClassificationModelMetadataOrBuilder getImageClassificationModelMetadataOrBuilder() { if (modelMetadataCase_ == 13) { @@ -661,7 +651,6 @@ public boolean hasImageClassificationModelMetadata() { * * @return Whether the textClassificationModelMetadata field is set. */ - @java.lang.Override public boolean hasTextClassificationModelMetadata() { return modelMetadataCase_ == 14; } @@ -678,7 +667,6 @@ public boolean hasTextClassificationModelMetadata() { * * @return The textClassificationModelMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.TextClassificationModelMetadata getTextClassificationModelMetadata() { if (modelMetadataCase_ == 14) { @@ -697,7 +685,6 @@ public boolean hasTextClassificationModelMetadata() { * .google.cloud.automl.v1.TextClassificationModelMetadata text_classification_model_metadata = 14; * */ - @java.lang.Override public com.google.cloud.automl.v1.TextClassificationModelMetadataOrBuilder getTextClassificationModelMetadataOrBuilder() { if (modelMetadataCase_ == 14) { @@ -720,7 +707,6 @@ public boolean hasTextClassificationModelMetadata() { * * @return Whether the imageObjectDetectionModelMetadata field is set. */ - @java.lang.Override public boolean hasImageObjectDetectionModelMetadata() { return modelMetadataCase_ == 20; } @@ -737,7 +723,6 @@ public boolean hasImageObjectDetectionModelMetadata() { * * @return The imageObjectDetectionModelMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.ImageObjectDetectionModelMetadata getImageObjectDetectionModelMetadata() { if (modelMetadataCase_ == 20) { @@ -756,7 +741,6 @@ public boolean hasImageObjectDetectionModelMetadata() { * .google.cloud.automl.v1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20; * */ - @java.lang.Override public com.google.cloud.automl.v1.ImageObjectDetectionModelMetadataOrBuilder getImageObjectDetectionModelMetadataOrBuilder() { if (modelMetadataCase_ == 20) { @@ -778,7 +762,6 @@ public boolean hasImageObjectDetectionModelMetadata() { * * @return Whether the textExtractionModelMetadata field is set. */ - @java.lang.Override public boolean hasTextExtractionModelMetadata() { return modelMetadataCase_ == 19; } @@ -794,7 +777,6 @@ public boolean hasTextExtractionModelMetadata() { * * @return The textExtractionModelMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.TextExtractionModelMetadata getTextExtractionModelMetadata() { if (modelMetadataCase_ == 19) { return (com.google.cloud.automl.v1.TextExtractionModelMetadata) modelMetadata_; @@ -811,7 +793,6 @@ public com.google.cloud.automl.v1.TextExtractionModelMetadata getTextExtractionM * .google.cloud.automl.v1.TextExtractionModelMetadata text_extraction_model_metadata = 19; * */ - @java.lang.Override public com.google.cloud.automl.v1.TextExtractionModelMetadataOrBuilder getTextExtractionModelMetadataOrBuilder() { if (modelMetadataCase_ == 19) { @@ -833,7 +814,6 @@ public com.google.cloud.automl.v1.TextExtractionModelMetadata getTextExtractionM * * @return Whether the textSentimentModelMetadata field is set. */ - @java.lang.Override public boolean hasTextSentimentModelMetadata() { return modelMetadataCase_ == 22; } @@ -849,7 +829,6 @@ public boolean hasTextSentimentModelMetadata() { * * @return The textSentimentModelMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.TextSentimentModelMetadata getTextSentimentModelMetadata() { if (modelMetadataCase_ == 22) { return (com.google.cloud.automl.v1.TextSentimentModelMetadata) modelMetadata_; @@ -866,7 +845,6 @@ public com.google.cloud.automl.v1.TextSentimentModelMetadata getTextSentimentMod * .google.cloud.automl.v1.TextSentimentModelMetadata text_sentiment_model_metadata = 22; * */ - @java.lang.Override public com.google.cloud.automl.v1.TextSentimentModelMetadataOrBuilder getTextSentimentModelMetadataOrBuilder() { if (modelMetadataCase_ == 22) { @@ -889,7 +867,6 @@ public com.google.cloud.automl.v1.TextSentimentModelMetadata getTextSentimentMod * * @return The name. */ - @java.lang.Override public java.lang.String getName() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { @@ -913,7 +890,6 @@ public java.lang.String getName() { * * @return The bytes for name. */ - @java.lang.Override public com.google.protobuf.ByteString getNameBytes() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { @@ -942,7 +918,6 @@ public com.google.protobuf.ByteString getNameBytes() { * * @return The displayName. */ - @java.lang.Override public java.lang.String getDisplayName() { java.lang.Object ref = displayName_; if (ref instanceof java.lang.String) { @@ -968,7 +943,6 @@ public java.lang.String getDisplayName() { * * @return The bytes for displayName. */ - @java.lang.Override public com.google.protobuf.ByteString getDisplayNameBytes() { java.lang.Object ref = displayName_; if (ref instanceof java.lang.String) { @@ -995,7 +969,6 @@ public com.google.protobuf.ByteString getDisplayNameBytes() { * * @return The datasetId. */ - @java.lang.Override public java.lang.String getDatasetId() { java.lang.Object ref = datasetId_; if (ref instanceof java.lang.String) { @@ -1019,7 +992,6 @@ public java.lang.String getDatasetId() { * * @return The bytes for datasetId. */ - @java.lang.Override public com.google.protobuf.ByteString getDatasetIdBytes() { java.lang.Object ref = datasetId_; if (ref instanceof java.lang.String) { @@ -1045,7 +1017,6 @@ public com.google.protobuf.ByteString getDatasetIdBytes() { * * @return Whether the createTime field is set. */ - @java.lang.Override public boolean hasCreateTime() { return createTime_ != null; } @@ -1060,7 +1031,6 @@ public boolean hasCreateTime() { * * @return The createTime. */ - @java.lang.Override public com.google.protobuf.Timestamp getCreateTime() { return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_; } @@ -1073,7 +1043,6 @@ public com.google.protobuf.Timestamp getCreateTime() { * * .google.protobuf.Timestamp create_time = 7; */ - @java.lang.Override public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() { return getCreateTime(); } @@ -1091,7 +1060,6 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() { * * @return Whether the updateTime field is set. */ - @java.lang.Override public boolean hasUpdateTime() { return updateTime_ != null; } @@ -1106,7 +1074,6 @@ public boolean hasUpdateTime() { * * @return The updateTime. */ - @java.lang.Override public com.google.protobuf.Timestamp getUpdateTime() { return updateTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : updateTime_; } @@ -1119,7 +1086,6 @@ public com.google.protobuf.Timestamp getUpdateTime() { * * .google.protobuf.Timestamp update_time = 11; */ - @java.lang.Override public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() { return getUpdateTime(); } @@ -1138,7 +1104,6 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() { * * @return The enum numeric value on the wire for deploymentState. */ - @java.lang.Override public int getDeploymentStateValue() { return deploymentState_; } @@ -1154,7 +1119,6 @@ public int getDeploymentStateValue() { * * @return The deploymentState. */ - @java.lang.Override public com.google.cloud.automl.v1.Model.DeploymentState getDeploymentState() { @SuppressWarnings("deprecation") com.google.cloud.automl.v1.Model.DeploymentState result = @@ -1176,7 +1140,6 @@ public com.google.cloud.automl.v1.Model.DeploymentState getDeploymentState() { * * @return The etag. */ - @java.lang.Override public java.lang.String getEtag() { java.lang.Object ref = etag_; if (ref instanceof java.lang.String) { @@ -1200,7 +1163,6 @@ public java.lang.String getEtag() { * * @return The bytes for etag. */ - @java.lang.Override public com.google.protobuf.ByteString getEtagBytes() { java.lang.Object ref = etag_; if (ref instanceof java.lang.String) { @@ -1252,7 +1214,6 @@ public int getLabelsCount() { * * map<string, string> labels = 34; */ - @java.lang.Override public boolean containsLabels(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); @@ -1260,7 +1221,6 @@ public boolean containsLabels(java.lang.String key) { return internalGetLabels().getMap().containsKey(key); } /** Use {@link #getLabelsMap()} instead. */ - @java.lang.Override @java.lang.Deprecated public java.util.Map getLabels() { return getLabelsMap(); @@ -1279,7 +1239,6 @@ public java.util.Map getLabels() { * * map<string, string> labels = 34; */ - @java.lang.Override public java.util.Map getLabelsMap() { return internalGetLabels().getMap(); } @@ -1297,7 +1256,6 @@ public java.util.Map getLabelsMap() { * * map<string, string> labels = 34; */ - @java.lang.Override public java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.String defaultValue) { if (key == null) { throw new java.lang.NullPointerException(); @@ -1319,7 +1277,6 @@ public java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.Strin * * map<string, string> labels = 34; */ - @java.lang.Override public java.lang.String getLabelsOrThrow(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); @@ -2033,7 +1990,6 @@ public Builder clearModelMetadata() { * * @return Whether the translationModelMetadata field is set. */ - @java.lang.Override public boolean hasTranslationModelMetadata() { return modelMetadataCase_ == 15; } @@ -2049,7 +2005,6 @@ public boolean hasTranslationModelMetadata() { * * @return The translationModelMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.TranslationModelMetadata getTranslationModelMetadata() { if (translationModelMetadataBuilder_ == null) { if (modelMetadataCase_ == 15) { @@ -2192,7 +2147,6 @@ public Builder clearTranslationModelMetadata() { * .google.cloud.automl.v1.TranslationModelMetadata translation_model_metadata = 15; * */ - @java.lang.Override public com.google.cloud.automl.v1.TranslationModelMetadataOrBuilder getTranslationModelMetadataOrBuilder() { if ((modelMetadataCase_ == 15) && (translationModelMetadataBuilder_ != null)) { @@ -2257,7 +2211,6 @@ public Builder clearTranslationModelMetadata() { * * @return Whether the imageClassificationModelMetadata field is set. */ - @java.lang.Override public boolean hasImageClassificationModelMetadata() { return modelMetadataCase_ == 13; } @@ -2274,7 +2227,6 @@ public boolean hasImageClassificationModelMetadata() { * * @return The imageClassificationModelMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.ImageClassificationModelMetadata getImageClassificationModelMetadata() { if (imageClassificationModelMetadataBuilder_ == null) { @@ -2425,7 +2377,6 @@ public Builder clearImageClassificationModelMetadata() { * .google.cloud.automl.v1.ImageClassificationModelMetadata image_classification_model_metadata = 13; * */ - @java.lang.Override public com.google.cloud.automl.v1.ImageClassificationModelMetadataOrBuilder getImageClassificationModelMetadataOrBuilder() { if ((modelMetadataCase_ == 13) && (imageClassificationModelMetadataBuilder_ != null)) { @@ -2492,7 +2443,6 @@ public Builder clearImageClassificationModelMetadata() { * * @return Whether the textClassificationModelMetadata field is set. */ - @java.lang.Override public boolean hasTextClassificationModelMetadata() { return modelMetadataCase_ == 14; } @@ -2509,7 +2459,6 @@ public boolean hasTextClassificationModelMetadata() { * * @return The textClassificationModelMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.TextClassificationModelMetadata getTextClassificationModelMetadata() { if (textClassificationModelMetadataBuilder_ == null) { @@ -2660,7 +2609,6 @@ public Builder clearTextClassificationModelMetadata() { * .google.cloud.automl.v1.TextClassificationModelMetadata text_classification_model_metadata = 14; * */ - @java.lang.Override public com.google.cloud.automl.v1.TextClassificationModelMetadataOrBuilder getTextClassificationModelMetadataOrBuilder() { if ((modelMetadataCase_ == 14) && (textClassificationModelMetadataBuilder_ != null)) { @@ -2727,7 +2675,6 @@ public Builder clearTextClassificationModelMetadata() { * * @return Whether the imageObjectDetectionModelMetadata field is set. */ - @java.lang.Override public boolean hasImageObjectDetectionModelMetadata() { return modelMetadataCase_ == 20; } @@ -2744,7 +2691,6 @@ public boolean hasImageObjectDetectionModelMetadata() { * * @return The imageObjectDetectionModelMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.ImageObjectDetectionModelMetadata getImageObjectDetectionModelMetadata() { if (imageObjectDetectionModelMetadataBuilder_ == null) { @@ -2895,7 +2841,6 @@ public Builder clearImageObjectDetectionModelMetadata() { * .google.cloud.automl.v1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20; * */ - @java.lang.Override public com.google.cloud.automl.v1.ImageObjectDetectionModelMetadataOrBuilder getImageObjectDetectionModelMetadataOrBuilder() { if ((modelMetadataCase_ == 20) && (imageObjectDetectionModelMetadataBuilder_ != null)) { @@ -2962,7 +2907,6 @@ public Builder clearImageObjectDetectionModelMetadata() { * * @return Whether the textExtractionModelMetadata field is set. */ - @java.lang.Override public boolean hasTextExtractionModelMetadata() { return modelMetadataCase_ == 19; } @@ -2979,7 +2923,6 @@ public boolean hasTextExtractionModelMetadata() { * * @return The textExtractionModelMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.TextExtractionModelMetadata getTextExtractionModelMetadata() { if (textExtractionModelMetadataBuilder_ == null) { if (modelMetadataCase_ == 19) { @@ -3128,7 +3071,6 @@ public Builder clearTextExtractionModelMetadata() { * .google.cloud.automl.v1.TextExtractionModelMetadata text_extraction_model_metadata = 19; * */ - @java.lang.Override public com.google.cloud.automl.v1.TextExtractionModelMetadataOrBuilder getTextExtractionModelMetadataOrBuilder() { if ((modelMetadataCase_ == 19) && (textExtractionModelMetadataBuilder_ != null)) { @@ -3194,7 +3136,6 @@ public Builder clearTextExtractionModelMetadata() { * * @return Whether the textSentimentModelMetadata field is set. */ - @java.lang.Override public boolean hasTextSentimentModelMetadata() { return modelMetadataCase_ == 22; } @@ -3210,7 +3151,6 @@ public boolean hasTextSentimentModelMetadata() { * * @return The textSentimentModelMetadata. */ - @java.lang.Override public com.google.cloud.automl.v1.TextSentimentModelMetadata getTextSentimentModelMetadata() { if (textSentimentModelMetadataBuilder_ == null) { if (modelMetadataCase_ == 22) { @@ -3353,7 +3293,6 @@ public Builder clearTextSentimentModelMetadata() { * .google.cloud.automl.v1.TextSentimentModelMetadata text_sentiment_model_metadata = 22; * */ - @java.lang.Override public com.google.cloud.automl.v1.TextSentimentModelMetadataOrBuilder getTextSentimentModelMetadataOrBuilder() { if ((modelMetadataCase_ == 22) && (textSentimentModelMetadataBuilder_ != null)) { @@ -4123,7 +4062,6 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() { * * @return The enum numeric value on the wire for deploymentState. */ - @java.lang.Override public int getDeploymentStateValue() { return deploymentState_; } @@ -4141,7 +4079,6 @@ public int getDeploymentStateValue() { * @return This builder for chaining. */ public Builder setDeploymentStateValue(int value) { - deploymentState_ = value; onChanged(); return this; @@ -4158,7 +4095,6 @@ public Builder setDeploymentStateValue(int value) { * * @return The deploymentState. */ - @java.lang.Override public com.google.cloud.automl.v1.Model.DeploymentState getDeploymentState() { @SuppressWarnings("deprecation") com.google.cloud.automl.v1.Model.DeploymentState result = @@ -4358,7 +4294,6 @@ public int getLabelsCount() { * * map<string, string> labels = 34; */ - @java.lang.Override public boolean containsLabels(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); @@ -4366,7 +4301,6 @@ public boolean containsLabels(java.lang.String key) { return internalGetLabels().getMap().containsKey(key); } /** Use {@link #getLabelsMap()} instead. */ - @java.lang.Override @java.lang.Deprecated public java.util.Map getLabels() { return getLabelsMap(); @@ -4385,7 +4319,6 @@ public java.util.Map getLabels() { * * map<string, string> labels = 34; */ - @java.lang.Override public java.util.Map getLabelsMap() { return internalGetLabels().getMap(); } @@ -4403,7 +4336,6 @@ public java.util.Map getLabelsMap() { * * map<string, string> labels = 34; */ - @java.lang.Override public java.lang.String getLabelsOrDefault( java.lang.String key, java.lang.String defaultValue) { if (key == null) { @@ -4426,7 +4358,6 @@ public java.lang.String getLabelsOrDefault( * * map<string, string> labels = 34; */ - @java.lang.Override public java.lang.String getLabelsOrThrow(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ModelEvaluation.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ModelEvaluation.java index aa43c7f3d..f4893d5a2 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ModelEvaluation.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ModelEvaluation.java @@ -321,7 +321,6 @@ public MetricsCase getMetricsCase() { * * @return Whether the classificationEvaluationMetrics field is set. */ - @java.lang.Override public boolean hasClassificationEvaluationMetrics() { return metricsCase_ == 8; } @@ -341,7 +340,6 @@ public boolean hasClassificationEvaluationMetrics() { * * @return The classificationEvaluationMetrics. */ - @java.lang.Override public com.google.cloud.automl.v1.ClassificationEvaluationMetrics getClassificationEvaluationMetrics() { if (metricsCase_ == 8) { @@ -363,7 +361,6 @@ public boolean hasClassificationEvaluationMetrics() { * .google.cloud.automl.v1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8; * */ - @java.lang.Override public com.google.cloud.automl.v1.ClassificationEvaluationMetricsOrBuilder getClassificationEvaluationMetricsOrBuilder() { if (metricsCase_ == 8) { @@ -385,7 +382,6 @@ public boolean hasClassificationEvaluationMetrics() { * * @return Whether the translationEvaluationMetrics field is set. */ - @java.lang.Override public boolean hasTranslationEvaluationMetrics() { return metricsCase_ == 9; } @@ -401,7 +397,6 @@ public boolean hasTranslationEvaluationMetrics() { * * @return The translationEvaluationMetrics. */ - @java.lang.Override public com.google.cloud.automl.v1.TranslationEvaluationMetrics getTranslationEvaluationMetrics() { if (metricsCase_ == 9) { return (com.google.cloud.automl.v1.TranslationEvaluationMetrics) metrics_; @@ -418,7 +413,6 @@ public com.google.cloud.automl.v1.TranslationEvaluationMetrics getTranslationEva * .google.cloud.automl.v1.TranslationEvaluationMetrics translation_evaluation_metrics = 9; * */ - @java.lang.Override public com.google.cloud.automl.v1.TranslationEvaluationMetricsOrBuilder getTranslationEvaluationMetricsOrBuilder() { if (metricsCase_ == 9) { @@ -441,7 +435,6 @@ public com.google.cloud.automl.v1.TranslationEvaluationMetrics getTranslationEva * * @return Whether the imageObjectDetectionEvaluationMetrics field is set. */ - @java.lang.Override public boolean hasImageObjectDetectionEvaluationMetrics() { return metricsCase_ == 12; } @@ -458,7 +451,6 @@ public boolean hasImageObjectDetectionEvaluationMetrics() { * * @return The imageObjectDetectionEvaluationMetrics. */ - @java.lang.Override public com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics getImageObjectDetectionEvaluationMetrics() { if (metricsCase_ == 12) { @@ -477,7 +469,6 @@ public boolean hasImageObjectDetectionEvaluationMetrics() { * .google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; * */ - @java.lang.Override public com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetricsOrBuilder getImageObjectDetectionEvaluationMetricsOrBuilder() { if (metricsCase_ == 12) { @@ -500,7 +491,6 @@ public boolean hasImageObjectDetectionEvaluationMetrics() { * * @return Whether the textSentimentEvaluationMetrics field is set. */ - @java.lang.Override public boolean hasTextSentimentEvaluationMetrics() { return metricsCase_ == 11; } @@ -517,7 +507,6 @@ public boolean hasTextSentimentEvaluationMetrics() { * * @return The textSentimentEvaluationMetrics. */ - @java.lang.Override public com.google.cloud.automl.v1.TextSentimentEvaluationMetrics getTextSentimentEvaluationMetrics() { if (metricsCase_ == 11) { @@ -536,7 +525,6 @@ public boolean hasTextSentimentEvaluationMetrics() { * .google.cloud.automl.v1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; * */ - @java.lang.Override public com.google.cloud.automl.v1.TextSentimentEvaluationMetricsOrBuilder getTextSentimentEvaluationMetricsOrBuilder() { if (metricsCase_ == 11) { @@ -559,7 +547,6 @@ public boolean hasTextSentimentEvaluationMetrics() { * * @return Whether the textExtractionEvaluationMetrics field is set. */ - @java.lang.Override public boolean hasTextExtractionEvaluationMetrics() { return metricsCase_ == 13; } @@ -576,7 +563,6 @@ public boolean hasTextExtractionEvaluationMetrics() { * * @return The textExtractionEvaluationMetrics. */ - @java.lang.Override public com.google.cloud.automl.v1.TextExtractionEvaluationMetrics getTextExtractionEvaluationMetrics() { if (metricsCase_ == 13) { @@ -595,7 +581,6 @@ public boolean hasTextExtractionEvaluationMetrics() { * .google.cloud.automl.v1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; * */ - @java.lang.Override public com.google.cloud.automl.v1.TextExtractionEvaluationMetricsOrBuilder getTextExtractionEvaluationMetricsOrBuilder() { if (metricsCase_ == 13) { @@ -619,7 +604,6 @@ public boolean hasTextExtractionEvaluationMetrics() { * * @return The name. */ - @java.lang.Override public java.lang.String getName() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { @@ -644,7 +628,6 @@ public java.lang.String getName() { * * @return The bytes for name. */ - @java.lang.Override public com.google.protobuf.ByteString getNameBytes() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { @@ -677,7 +660,6 @@ public com.google.protobuf.ByteString getNameBytes() { * * @return The annotationSpecId. */ - @java.lang.Override public java.lang.String getAnnotationSpecId() { java.lang.Object ref = annotationSpecId_; if (ref instanceof java.lang.String) { @@ -707,7 +689,6 @@ public java.lang.String getAnnotationSpecId() { * * @return The bytes for annotationSpecId. */ - @java.lang.Override public com.google.protobuf.ByteString getAnnotationSpecIdBytes() { java.lang.Object ref = annotationSpecId_; if (ref instanceof java.lang.String) { @@ -742,7 +723,6 @@ public com.google.protobuf.ByteString getAnnotationSpecIdBytes() { * * @return The displayName. */ - @java.lang.Override public java.lang.String getDisplayName() { java.lang.Object ref = displayName_; if (ref instanceof java.lang.String) { @@ -774,7 +754,6 @@ public java.lang.String getDisplayName() { * * @return The bytes for displayName. */ - @java.lang.Override public com.google.protobuf.ByteString getDisplayNameBytes() { java.lang.Object ref = displayName_; if (ref instanceof java.lang.String) { @@ -800,7 +779,6 @@ public com.google.protobuf.ByteString getDisplayNameBytes() { * * @return Whether the createTime field is set. */ - @java.lang.Override public boolean hasCreateTime() { return createTime_ != null; } @@ -815,7 +793,6 @@ public boolean hasCreateTime() { * * @return The createTime. */ - @java.lang.Override public com.google.protobuf.Timestamp getCreateTime() { return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_; } @@ -828,7 +805,6 @@ public com.google.protobuf.Timestamp getCreateTime() { * * .google.protobuf.Timestamp create_time = 5; */ - @java.lang.Override public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() { return getCreateTime(); } @@ -853,7 +829,6 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() { * * @return The evaluatedExampleCount. */ - @java.lang.Override public int getEvaluatedExampleCount() { return evaluatedExampleCount_; } @@ -1445,7 +1420,6 @@ public Builder clearMetrics() { * * @return Whether the classificationEvaluationMetrics field is set. */ - @java.lang.Override public boolean hasClassificationEvaluationMetrics() { return metricsCase_ == 8; } @@ -1465,7 +1439,6 @@ public boolean hasClassificationEvaluationMetrics() { * * @return The classificationEvaluationMetrics. */ - @java.lang.Override public com.google.cloud.automl.v1.ClassificationEvaluationMetrics getClassificationEvaluationMetrics() { if (classificationEvaluationMetricsBuilder_ == null) { @@ -1634,7 +1607,6 @@ public Builder clearClassificationEvaluationMetrics() { * .google.cloud.automl.v1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8; * */ - @java.lang.Override public com.google.cloud.automl.v1.ClassificationEvaluationMetricsOrBuilder getClassificationEvaluationMetricsOrBuilder() { if ((metricsCase_ == 8) && (classificationEvaluationMetricsBuilder_ != null)) { @@ -1704,7 +1676,6 @@ public Builder clearClassificationEvaluationMetrics() { * * @return Whether the translationEvaluationMetrics field is set. */ - @java.lang.Override public boolean hasTranslationEvaluationMetrics() { return metricsCase_ == 9; } @@ -1721,7 +1692,6 @@ public boolean hasTranslationEvaluationMetrics() { * * @return The translationEvaluationMetrics. */ - @java.lang.Override public com.google.cloud.automl.v1.TranslationEvaluationMetrics getTranslationEvaluationMetrics() { if (translationEvaluationMetricsBuilder_ == null) { @@ -1871,7 +1841,6 @@ public Builder clearTranslationEvaluationMetrics() { * .google.cloud.automl.v1.TranslationEvaluationMetrics translation_evaluation_metrics = 9; * */ - @java.lang.Override public com.google.cloud.automl.v1.TranslationEvaluationMetricsOrBuilder getTranslationEvaluationMetricsOrBuilder() { if ((metricsCase_ == 9) && (translationEvaluationMetricsBuilder_ != null)) { @@ -1937,7 +1906,6 @@ public Builder clearTranslationEvaluationMetrics() { * * @return Whether the imageObjectDetectionEvaluationMetrics field is set. */ - @java.lang.Override public boolean hasImageObjectDetectionEvaluationMetrics() { return metricsCase_ == 12; } @@ -1954,7 +1922,6 @@ public boolean hasImageObjectDetectionEvaluationMetrics() { * * @return The imageObjectDetectionEvaluationMetrics. */ - @java.lang.Override public com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics getImageObjectDetectionEvaluationMetrics() { if (imageObjectDetectionEvaluationMetricsBuilder_ == null) { @@ -2107,7 +2074,6 @@ public Builder clearImageObjectDetectionEvaluationMetrics() { * .google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; * */ - @java.lang.Override public com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetricsOrBuilder getImageObjectDetectionEvaluationMetricsOrBuilder() { if ((metricsCase_ == 12) && (imageObjectDetectionEvaluationMetricsBuilder_ != null)) { @@ -2175,7 +2141,6 @@ public Builder clearImageObjectDetectionEvaluationMetrics() { * * @return Whether the textSentimentEvaluationMetrics field is set. */ - @java.lang.Override public boolean hasTextSentimentEvaluationMetrics() { return metricsCase_ == 11; } @@ -2192,7 +2157,6 @@ public boolean hasTextSentimentEvaluationMetrics() { * * @return The textSentimentEvaluationMetrics. */ - @java.lang.Override public com.google.cloud.automl.v1.TextSentimentEvaluationMetrics getTextSentimentEvaluationMetrics() { if (textSentimentEvaluationMetricsBuilder_ == null) { @@ -2342,7 +2306,6 @@ public Builder clearTextSentimentEvaluationMetrics() { * .google.cloud.automl.v1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; * */ - @java.lang.Override public com.google.cloud.automl.v1.TextSentimentEvaluationMetricsOrBuilder getTextSentimentEvaluationMetricsOrBuilder() { if ((metricsCase_ == 11) && (textSentimentEvaluationMetricsBuilder_ != null)) { @@ -2408,7 +2371,6 @@ public Builder clearTextSentimentEvaluationMetrics() { * * @return Whether the textExtractionEvaluationMetrics field is set. */ - @java.lang.Override public boolean hasTextExtractionEvaluationMetrics() { return metricsCase_ == 13; } @@ -2425,7 +2387,6 @@ public boolean hasTextExtractionEvaluationMetrics() { * * @return The textExtractionEvaluationMetrics. */ - @java.lang.Override public com.google.cloud.automl.v1.TextExtractionEvaluationMetrics getTextExtractionEvaluationMetrics() { if (textExtractionEvaluationMetricsBuilder_ == null) { @@ -2576,7 +2537,6 @@ public Builder clearTextExtractionEvaluationMetrics() { * .google.cloud.automl.v1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; * */ - @java.lang.Override public com.google.cloud.automl.v1.TextExtractionEvaluationMetricsOrBuilder getTextExtractionEvaluationMetricsOrBuilder() { if ((metricsCase_ == 13) && (textExtractionEvaluationMetricsBuilder_ != null)) { @@ -3235,7 +3195,6 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() { * * @return The evaluatedExampleCount. */ - @java.lang.Override public int getEvaluatedExampleCount() { return evaluatedExampleCount_; } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ModelExportOutputConfig.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ModelExportOutputConfig.java index cc9601322..e355b206a 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ModelExportOutputConfig.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ModelExportOutputConfig.java @@ -217,7 +217,6 @@ public DestinationCase getDestinationCase() { * * @return Whether the gcsDestination field is set. */ - @java.lang.Override public boolean hasGcsDestination() { return destinationCase_ == 1; } @@ -241,7 +240,6 @@ public boolean hasGcsDestination() { * * @return The gcsDestination. */ - @java.lang.Override public com.google.cloud.automl.v1.GcsDestination getGcsDestination() { if (destinationCase_ == 1) { return (com.google.cloud.automl.v1.GcsDestination) destination_; @@ -266,7 +264,6 @@ public com.google.cloud.automl.v1.GcsDestination getGcsDestination() { * .google.cloud.automl.v1.GcsDestination gcs_destination = 1 [(.google.api.field_behavior) = REQUIRED]; * */ - @java.lang.Override public com.google.cloud.automl.v1.GcsDestinationOrBuilder getGcsDestinationOrBuilder() { if (destinationCase_ == 1) { return (com.google.cloud.automl.v1.GcsDestination) destination_; @@ -314,7 +311,6 @@ public com.google.cloud.automl.v1.GcsDestinationOrBuilder getGcsDestinationOrBui * * @return The modelFormat. */ - @java.lang.Override public java.lang.String getModelFormat() { java.lang.Object ref = modelFormat_; if (ref instanceof java.lang.String) { @@ -364,7 +360,6 @@ public java.lang.String getModelFormat() { * * @return The bytes for modelFormat. */ - @java.lang.Override public com.google.protobuf.ByteString getModelFormatBytes() { java.lang.Object ref = modelFormat_; if (ref instanceof java.lang.String) { @@ -416,7 +411,6 @@ public int getParamsCount() { * * map<string, string> params = 2; */ - @java.lang.Override public boolean containsParams(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); @@ -424,7 +418,6 @@ public boolean containsParams(java.lang.String key) { return internalGetParams().getMap().containsKey(key); } /** Use {@link #getParamsMap()} instead. */ - @java.lang.Override @java.lang.Deprecated public java.util.Map getParams() { return getParamsMap(); @@ -443,7 +436,6 @@ public java.util.Map getParams() { * * map<string, string> params = 2; */ - @java.lang.Override public java.util.Map getParamsMap() { return internalGetParams().getMap(); } @@ -461,7 +453,6 @@ public java.util.Map getParamsMap() { * * map<string, string> params = 2; */ - @java.lang.Override public java.lang.String getParamsOrDefault(java.lang.String key, java.lang.String defaultValue) { if (key == null) { throw new java.lang.NullPointerException(); @@ -483,7 +474,6 @@ public java.lang.String getParamsOrDefault(java.lang.String key, java.lang.Strin * * map<string, string> params = 2; */ - @java.lang.Override public java.lang.String getParamsOrThrow(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); @@ -941,7 +931,6 @@ public Builder clearDestination() { * * @return Whether the gcsDestination field is set. */ - @java.lang.Override public boolean hasGcsDestination() { return destinationCase_ == 1; } @@ -965,7 +954,6 @@ public boolean hasGcsDestination() { * * @return The gcsDestination. */ - @java.lang.Override public com.google.cloud.automl.v1.GcsDestination getGcsDestination() { if (gcsDestinationBuilder_ == null) { if (destinationCase_ == 1) { @@ -1152,7 +1140,6 @@ public com.google.cloud.automl.v1.GcsDestination.Builder getGcsDestinationBuilde * .google.cloud.automl.v1.GcsDestination gcs_destination = 1 [(.google.api.field_behavior) = REQUIRED]; * */ - @java.lang.Override public com.google.cloud.automl.v1.GcsDestinationOrBuilder getGcsDestinationOrBuilder() { if ((destinationCase_ == 1) && (gcsDestinationBuilder_ != null)) { return gcsDestinationBuilder_.getMessageOrBuilder(); @@ -1486,7 +1473,6 @@ public int getParamsCount() { * * map<string, string> params = 2; */ - @java.lang.Override public boolean containsParams(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); @@ -1494,7 +1480,6 @@ public boolean containsParams(java.lang.String key) { return internalGetParams().getMap().containsKey(key); } /** Use {@link #getParamsMap()} instead. */ - @java.lang.Override @java.lang.Deprecated public java.util.Map getParams() { return getParamsMap(); @@ -1513,7 +1498,6 @@ public java.util.Map getParams() { * * map<string, string> params = 2; */ - @java.lang.Override public java.util.Map getParamsMap() { return internalGetParams().getMap(); } @@ -1531,7 +1515,6 @@ public java.util.Map getParamsMap() { * * map<string, string> params = 2; */ - @java.lang.Override public java.lang.String getParamsOrDefault( java.lang.String key, java.lang.String defaultValue) { if (key == null) { @@ -1554,7 +1537,6 @@ public java.lang.String getParamsOrDefault( * * map<string, string> params = 2; */ - @java.lang.Override public java.lang.String getParamsOrThrow(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/NormalizedVertex.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/NormalizedVertex.java index b999b0d41..9389c8fe6 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/NormalizedVertex.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/NormalizedVertex.java @@ -129,7 +129,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The x. */ - @java.lang.Override public float getX() { return x_; } @@ -147,7 +146,6 @@ public float getX() { * * @return The y. */ - @java.lang.Override public float getY() { return y_; } @@ -500,7 +498,6 @@ public Builder mergeFrom( * * @return The x. */ - @java.lang.Override public float getX() { return x_; } @@ -552,7 +549,6 @@ public Builder clearX() { * * @return The y. */ - @java.lang.Override public float getY() { return y_; } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/OperationMetadata.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/OperationMetadata.java index f183e108e..94b8e70fc 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/OperationMetadata.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/OperationMetadata.java @@ -409,7 +409,6 @@ public DetailsCase getDetailsCase() { * * @return Whether the deleteDetails field is set. */ - @java.lang.Override public boolean hasDeleteDetails() { return detailsCase_ == 8; } @@ -424,7 +423,6 @@ public boolean hasDeleteDetails() { * * @return The deleteDetails. */ - @java.lang.Override public com.google.cloud.automl.v1.DeleteOperationMetadata getDeleteDetails() { if (detailsCase_ == 8) { return (com.google.cloud.automl.v1.DeleteOperationMetadata) details_; @@ -440,7 +438,6 @@ public com.google.cloud.automl.v1.DeleteOperationMetadata getDeleteDetails() { * * .google.cloud.automl.v1.DeleteOperationMetadata delete_details = 8; */ - @java.lang.Override public com.google.cloud.automl.v1.DeleteOperationMetadataOrBuilder getDeleteDetailsOrBuilder() { if (detailsCase_ == 8) { return (com.google.cloud.automl.v1.DeleteOperationMetadata) details_; @@ -460,7 +457,6 @@ public com.google.cloud.automl.v1.DeleteOperationMetadataOrBuilder getDeleteDeta * * @return Whether the deployModelDetails field is set. */ - @java.lang.Override public boolean hasDeployModelDetails() { return detailsCase_ == 24; } @@ -475,7 +471,6 @@ public boolean hasDeployModelDetails() { * * @return The deployModelDetails. */ - @java.lang.Override public com.google.cloud.automl.v1.DeployModelOperationMetadata getDeployModelDetails() { if (detailsCase_ == 24) { return (com.google.cloud.automl.v1.DeployModelOperationMetadata) details_; @@ -491,7 +486,6 @@ public com.google.cloud.automl.v1.DeployModelOperationMetadata getDeployModelDet * * .google.cloud.automl.v1.DeployModelOperationMetadata deploy_model_details = 24; */ - @java.lang.Override public com.google.cloud.automl.v1.DeployModelOperationMetadataOrBuilder getDeployModelDetailsOrBuilder() { if (detailsCase_ == 24) { @@ -513,7 +507,6 @@ public com.google.cloud.automl.v1.DeployModelOperationMetadata getDeployModelDet * * @return Whether the undeployModelDetails field is set. */ - @java.lang.Override public boolean hasUndeployModelDetails() { return detailsCase_ == 25; } @@ -529,7 +522,6 @@ public boolean hasUndeployModelDetails() { * * @return The undeployModelDetails. */ - @java.lang.Override public com.google.cloud.automl.v1.UndeployModelOperationMetadata getUndeployModelDetails() { if (detailsCase_ == 25) { return (com.google.cloud.automl.v1.UndeployModelOperationMetadata) details_; @@ -546,7 +538,6 @@ public com.google.cloud.automl.v1.UndeployModelOperationMetadata getUndeployMode * .google.cloud.automl.v1.UndeployModelOperationMetadata undeploy_model_details = 25; * */ - @java.lang.Override public com.google.cloud.automl.v1.UndeployModelOperationMetadataOrBuilder getUndeployModelDetailsOrBuilder() { if (detailsCase_ == 25) { @@ -567,7 +558,6 @@ public com.google.cloud.automl.v1.UndeployModelOperationMetadata getUndeployMode * * @return Whether the createModelDetails field is set. */ - @java.lang.Override public boolean hasCreateModelDetails() { return detailsCase_ == 10; } @@ -582,7 +572,6 @@ public boolean hasCreateModelDetails() { * * @return The createModelDetails. */ - @java.lang.Override public com.google.cloud.automl.v1.CreateModelOperationMetadata getCreateModelDetails() { if (detailsCase_ == 10) { return (com.google.cloud.automl.v1.CreateModelOperationMetadata) details_; @@ -598,7 +587,6 @@ public com.google.cloud.automl.v1.CreateModelOperationMetadata getCreateModelDet * * .google.cloud.automl.v1.CreateModelOperationMetadata create_model_details = 10; */ - @java.lang.Override public com.google.cloud.automl.v1.CreateModelOperationMetadataOrBuilder getCreateModelDetailsOrBuilder() { if (detailsCase_ == 10) { @@ -620,7 +608,6 @@ public com.google.cloud.automl.v1.CreateModelOperationMetadata getCreateModelDet * * @return Whether the createDatasetDetails field is set. */ - @java.lang.Override public boolean hasCreateDatasetDetails() { return detailsCase_ == 30; } @@ -636,7 +623,6 @@ public boolean hasCreateDatasetDetails() { * * @return The createDatasetDetails. */ - @java.lang.Override public com.google.cloud.automl.v1.CreateDatasetOperationMetadata getCreateDatasetDetails() { if (detailsCase_ == 30) { return (com.google.cloud.automl.v1.CreateDatasetOperationMetadata) details_; @@ -653,7 +639,6 @@ public com.google.cloud.automl.v1.CreateDatasetOperationMetadata getCreateDatase * .google.cloud.automl.v1.CreateDatasetOperationMetadata create_dataset_details = 30; * */ - @java.lang.Override public com.google.cloud.automl.v1.CreateDatasetOperationMetadataOrBuilder getCreateDatasetDetailsOrBuilder() { if (detailsCase_ == 30) { @@ -674,7 +659,6 @@ public com.google.cloud.automl.v1.CreateDatasetOperationMetadata getCreateDatase * * @return Whether the importDataDetails field is set. */ - @java.lang.Override public boolean hasImportDataDetails() { return detailsCase_ == 15; } @@ -689,7 +673,6 @@ public boolean hasImportDataDetails() { * * @return The importDataDetails. */ - @java.lang.Override public com.google.cloud.automl.v1.ImportDataOperationMetadata getImportDataDetails() { if (detailsCase_ == 15) { return (com.google.cloud.automl.v1.ImportDataOperationMetadata) details_; @@ -705,7 +688,6 @@ public com.google.cloud.automl.v1.ImportDataOperationMetadata getImportDataDetai * * .google.cloud.automl.v1.ImportDataOperationMetadata import_data_details = 15; */ - @java.lang.Override public com.google.cloud.automl.v1.ImportDataOperationMetadataOrBuilder getImportDataDetailsOrBuilder() { if (detailsCase_ == 15) { @@ -726,7 +708,6 @@ public com.google.cloud.automl.v1.ImportDataOperationMetadata getImportDataDetai * * @return Whether the batchPredictDetails field is set. */ - @java.lang.Override public boolean hasBatchPredictDetails() { return detailsCase_ == 16; } @@ -741,7 +722,6 @@ public boolean hasBatchPredictDetails() { * * @return The batchPredictDetails. */ - @java.lang.Override public com.google.cloud.automl.v1.BatchPredictOperationMetadata getBatchPredictDetails() { if (detailsCase_ == 16) { return (com.google.cloud.automl.v1.BatchPredictOperationMetadata) details_; @@ -757,7 +737,6 @@ public com.google.cloud.automl.v1.BatchPredictOperationMetadata getBatchPredictD * * .google.cloud.automl.v1.BatchPredictOperationMetadata batch_predict_details = 16; */ - @java.lang.Override public com.google.cloud.automl.v1.BatchPredictOperationMetadataOrBuilder getBatchPredictDetailsOrBuilder() { if (detailsCase_ == 16) { @@ -778,7 +757,6 @@ public com.google.cloud.automl.v1.BatchPredictOperationMetadata getBatchPredictD * * @return Whether the exportDataDetails field is set. */ - @java.lang.Override public boolean hasExportDataDetails() { return detailsCase_ == 21; } @@ -793,7 +771,6 @@ public boolean hasExportDataDetails() { * * @return The exportDataDetails. */ - @java.lang.Override public com.google.cloud.automl.v1.ExportDataOperationMetadata getExportDataDetails() { if (detailsCase_ == 21) { return (com.google.cloud.automl.v1.ExportDataOperationMetadata) details_; @@ -809,7 +786,6 @@ public com.google.cloud.automl.v1.ExportDataOperationMetadata getExportDataDetai * * .google.cloud.automl.v1.ExportDataOperationMetadata export_data_details = 21; */ - @java.lang.Override public com.google.cloud.automl.v1.ExportDataOperationMetadataOrBuilder getExportDataDetailsOrBuilder() { if (detailsCase_ == 21) { @@ -830,7 +806,6 @@ public com.google.cloud.automl.v1.ExportDataOperationMetadata getExportDataDetai * * @return Whether the exportModelDetails field is set. */ - @java.lang.Override public boolean hasExportModelDetails() { return detailsCase_ == 22; } @@ -845,7 +820,6 @@ public boolean hasExportModelDetails() { * * @return The exportModelDetails. */ - @java.lang.Override public com.google.cloud.automl.v1.ExportModelOperationMetadata getExportModelDetails() { if (detailsCase_ == 22) { return (com.google.cloud.automl.v1.ExportModelOperationMetadata) details_; @@ -861,7 +835,6 @@ public com.google.cloud.automl.v1.ExportModelOperationMetadata getExportModelDet * * .google.cloud.automl.v1.ExportModelOperationMetadata export_model_details = 22; */ - @java.lang.Override public com.google.cloud.automl.v1.ExportModelOperationMetadataOrBuilder getExportModelDetailsOrBuilder() { if (detailsCase_ == 22) { @@ -884,7 +857,6 @@ public com.google.cloud.automl.v1.ExportModelOperationMetadata getExportModelDet * * @return The progressPercent. */ - @java.lang.Override public int getProgressPercent() { return progressPercent_; } @@ -903,7 +875,6 @@ public int getProgressPercent() { * * repeated .google.rpc.Status partial_failures = 2; */ - @java.lang.Override public java.util.List getPartialFailuresList() { return partialFailures_; } @@ -919,7 +890,6 @@ public java.util.List getPartialFailuresList() { * * repeated .google.rpc.Status partial_failures = 2; */ - @java.lang.Override public java.util.List getPartialFailuresOrBuilderList() { return partialFailures_; @@ -936,7 +906,6 @@ public java.util.List getPartialFailuresList() { * * repeated .google.rpc.Status partial_failures = 2; */ - @java.lang.Override public int getPartialFailuresCount() { return partialFailures_.size(); } @@ -952,7 +921,6 @@ public int getPartialFailuresCount() { * * repeated .google.rpc.Status partial_failures = 2; */ - @java.lang.Override public com.google.rpc.Status getPartialFailures(int index) { return partialFailures_.get(index); } @@ -968,7 +936,6 @@ public com.google.rpc.Status getPartialFailures(int index) { * * repeated .google.rpc.Status partial_failures = 2; */ - @java.lang.Override public com.google.rpc.StatusOrBuilder getPartialFailuresOrBuilder(int index) { return partialFailures_.get(index); } @@ -986,7 +953,6 @@ public com.google.rpc.StatusOrBuilder getPartialFailuresOrBuilder(int index) { * * @return Whether the createTime field is set. */ - @java.lang.Override public boolean hasCreateTime() { return createTime_ != null; } @@ -1001,7 +967,6 @@ public boolean hasCreateTime() { * * @return The createTime. */ - @java.lang.Override public com.google.protobuf.Timestamp getCreateTime() { return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_; } @@ -1014,7 +979,6 @@ public com.google.protobuf.Timestamp getCreateTime() { * * .google.protobuf.Timestamp create_time = 3; */ - @java.lang.Override public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() { return getCreateTime(); } @@ -1032,7 +996,6 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() { * * @return Whether the updateTime field is set. */ - @java.lang.Override public boolean hasUpdateTime() { return updateTime_ != null; } @@ -1047,7 +1010,6 @@ public boolean hasUpdateTime() { * * @return The updateTime. */ - @java.lang.Override public com.google.protobuf.Timestamp getUpdateTime() { return updateTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : updateTime_; } @@ -1060,7 +1022,6 @@ public com.google.protobuf.Timestamp getUpdateTime() { * * .google.protobuf.Timestamp update_time = 4; */ - @java.lang.Override public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() { return getUpdateTime(); } @@ -1785,7 +1746,6 @@ public Builder clearDetails() { * * @return Whether the deleteDetails field is set. */ - @java.lang.Override public boolean hasDeleteDetails() { return detailsCase_ == 8; } @@ -1800,7 +1760,6 @@ public boolean hasDeleteDetails() { * * @return The deleteDetails. */ - @java.lang.Override public com.google.cloud.automl.v1.DeleteOperationMetadata getDeleteDetails() { if (deleteDetailsBuilder_ == null) { if (detailsCase_ == 8) { @@ -1934,7 +1893,6 @@ public com.google.cloud.automl.v1.DeleteOperationMetadata.Builder getDeleteDetai * * .google.cloud.automl.v1.DeleteOperationMetadata delete_details = 8; */ - @java.lang.Override public com.google.cloud.automl.v1.DeleteOperationMetadataOrBuilder getDeleteDetailsOrBuilder() { if ((detailsCase_ == 8) && (deleteDetailsBuilder_ != null)) { return deleteDetailsBuilder_.getMessageOrBuilder(); @@ -1995,7 +1953,6 @@ public com.google.cloud.automl.v1.DeleteOperationMetadataOrBuilder getDeleteDeta * * @return Whether the deployModelDetails field is set. */ - @java.lang.Override public boolean hasDeployModelDetails() { return detailsCase_ == 24; } @@ -2010,7 +1967,6 @@ public boolean hasDeployModelDetails() { * * @return The deployModelDetails. */ - @java.lang.Override public com.google.cloud.automl.v1.DeployModelOperationMetadata getDeployModelDetails() { if (deployModelDetailsBuilder_ == null) { if (detailsCase_ == 24) { @@ -2147,7 +2103,6 @@ public Builder clearDeployModelDetails() { * * .google.cloud.automl.v1.DeployModelOperationMetadata deploy_model_details = 24; */ - @java.lang.Override public com.google.cloud.automl.v1.DeployModelOperationMetadataOrBuilder getDeployModelDetailsOrBuilder() { if ((detailsCase_ == 24) && (deployModelDetailsBuilder_ != null)) { @@ -2210,7 +2165,6 @@ public Builder clearDeployModelDetails() { * * @return Whether the undeployModelDetails field is set. */ - @java.lang.Override public boolean hasUndeployModelDetails() { return detailsCase_ == 25; } @@ -2226,7 +2180,6 @@ public boolean hasUndeployModelDetails() { * * @return The undeployModelDetails. */ - @java.lang.Override public com.google.cloud.automl.v1.UndeployModelOperationMetadata getUndeployModelDetails() { if (undeployModelDetailsBuilder_ == null) { if (detailsCase_ == 25) { @@ -2369,7 +2322,6 @@ public Builder clearUndeployModelDetails() { * .google.cloud.automl.v1.UndeployModelOperationMetadata undeploy_model_details = 25; * */ - @java.lang.Override public com.google.cloud.automl.v1.UndeployModelOperationMetadataOrBuilder getUndeployModelDetailsOrBuilder() { if ((detailsCase_ == 25) && (undeployModelDetailsBuilder_ != null)) { @@ -2432,7 +2384,6 @@ public Builder clearUndeployModelDetails() { * * @return Whether the createModelDetails field is set. */ - @java.lang.Override public boolean hasCreateModelDetails() { return detailsCase_ == 10; } @@ -2447,7 +2398,6 @@ public boolean hasCreateModelDetails() { * * @return The createModelDetails. */ - @java.lang.Override public com.google.cloud.automl.v1.CreateModelOperationMetadata getCreateModelDetails() { if (createModelDetailsBuilder_ == null) { if (detailsCase_ == 10) { @@ -2584,7 +2534,6 @@ public Builder clearCreateModelDetails() { * * .google.cloud.automl.v1.CreateModelOperationMetadata create_model_details = 10; */ - @java.lang.Override public com.google.cloud.automl.v1.CreateModelOperationMetadataOrBuilder getCreateModelDetailsOrBuilder() { if ((detailsCase_ == 10) && (createModelDetailsBuilder_ != null)) { @@ -2647,7 +2596,6 @@ public Builder clearCreateModelDetails() { * * @return Whether the createDatasetDetails field is set. */ - @java.lang.Override public boolean hasCreateDatasetDetails() { return detailsCase_ == 30; } @@ -2663,7 +2611,6 @@ public boolean hasCreateDatasetDetails() { * * @return The createDatasetDetails. */ - @java.lang.Override public com.google.cloud.automl.v1.CreateDatasetOperationMetadata getCreateDatasetDetails() { if (createDatasetDetailsBuilder_ == null) { if (detailsCase_ == 30) { @@ -2806,7 +2753,6 @@ public Builder clearCreateDatasetDetails() { * .google.cloud.automl.v1.CreateDatasetOperationMetadata create_dataset_details = 30; * */ - @java.lang.Override public com.google.cloud.automl.v1.CreateDatasetOperationMetadataOrBuilder getCreateDatasetDetailsOrBuilder() { if ((detailsCase_ == 30) && (createDatasetDetailsBuilder_ != null)) { @@ -2869,7 +2815,6 @@ public Builder clearCreateDatasetDetails() { * * @return Whether the importDataDetails field is set. */ - @java.lang.Override public boolean hasImportDataDetails() { return detailsCase_ == 15; } @@ -2884,7 +2829,6 @@ public boolean hasImportDataDetails() { * * @return The importDataDetails. */ - @java.lang.Override public com.google.cloud.automl.v1.ImportDataOperationMetadata getImportDataDetails() { if (importDataDetailsBuilder_ == null) { if (detailsCase_ == 15) { @@ -3021,7 +2965,6 @@ public Builder clearImportDataDetails() { * * .google.cloud.automl.v1.ImportDataOperationMetadata import_data_details = 15; */ - @java.lang.Override public com.google.cloud.automl.v1.ImportDataOperationMetadataOrBuilder getImportDataDetailsOrBuilder() { if ((detailsCase_ == 15) && (importDataDetailsBuilder_ != null)) { @@ -3084,7 +3027,6 @@ public Builder clearImportDataDetails() { * * @return Whether the batchPredictDetails field is set. */ - @java.lang.Override public boolean hasBatchPredictDetails() { return detailsCase_ == 16; } @@ -3100,7 +3042,6 @@ public boolean hasBatchPredictDetails() { * * @return The batchPredictDetails. */ - @java.lang.Override public com.google.cloud.automl.v1.BatchPredictOperationMetadata getBatchPredictDetails() { if (batchPredictDetailsBuilder_ == null) { if (detailsCase_ == 16) { @@ -3243,7 +3184,6 @@ public Builder clearBatchPredictDetails() { * .google.cloud.automl.v1.BatchPredictOperationMetadata batch_predict_details = 16; * */ - @java.lang.Override public com.google.cloud.automl.v1.BatchPredictOperationMetadataOrBuilder getBatchPredictDetailsOrBuilder() { if ((detailsCase_ == 16) && (batchPredictDetailsBuilder_ != null)) { @@ -3306,7 +3246,6 @@ public Builder clearBatchPredictDetails() { * * @return Whether the exportDataDetails field is set. */ - @java.lang.Override public boolean hasExportDataDetails() { return detailsCase_ == 21; } @@ -3321,7 +3260,6 @@ public boolean hasExportDataDetails() { * * @return The exportDataDetails. */ - @java.lang.Override public com.google.cloud.automl.v1.ExportDataOperationMetadata getExportDataDetails() { if (exportDataDetailsBuilder_ == null) { if (detailsCase_ == 21) { @@ -3458,7 +3396,6 @@ public Builder clearExportDataDetails() { * * .google.cloud.automl.v1.ExportDataOperationMetadata export_data_details = 21; */ - @java.lang.Override public com.google.cloud.automl.v1.ExportDataOperationMetadataOrBuilder getExportDataDetailsOrBuilder() { if ((detailsCase_ == 21) && (exportDataDetailsBuilder_ != null)) { @@ -3520,7 +3457,6 @@ public Builder clearExportDataDetails() { * * @return Whether the exportModelDetails field is set. */ - @java.lang.Override public boolean hasExportModelDetails() { return detailsCase_ == 22; } @@ -3535,7 +3471,6 @@ public boolean hasExportModelDetails() { * * @return The exportModelDetails. */ - @java.lang.Override public com.google.cloud.automl.v1.ExportModelOperationMetadata getExportModelDetails() { if (exportModelDetailsBuilder_ == null) { if (detailsCase_ == 22) { @@ -3672,7 +3607,6 @@ public Builder clearExportModelDetails() { * * .google.cloud.automl.v1.ExportModelOperationMetadata export_model_details = 22; */ - @java.lang.Override public com.google.cloud.automl.v1.ExportModelOperationMetadataOrBuilder getExportModelDetailsOrBuilder() { if ((detailsCase_ == 22) && (exportModelDetailsBuilder_ != null)) { @@ -3731,7 +3665,6 @@ public Builder clearExportModelDetails() { * * @return The progressPercent. */ - @java.lang.Override public int getProgressPercent() { return progressPercent_; } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/OutputConfig.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/OutputConfig.java index 758fc5e56..02031c5a8 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/OutputConfig.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/OutputConfig.java @@ -207,7 +207,6 @@ public DestinationCase getDestinationCase() { * * @return Whether the gcsDestination field is set. */ - @java.lang.Override public boolean hasGcsDestination() { return destinationCase_ == 1; } @@ -229,7 +228,6 @@ public boolean hasGcsDestination() { * * @return The gcsDestination. */ - @java.lang.Override public com.google.cloud.automl.v1.GcsDestination getGcsDestination() { if (destinationCase_ == 1) { return (com.google.cloud.automl.v1.GcsDestination) destination_; @@ -252,7 +250,6 @@ public com.google.cloud.automl.v1.GcsDestination getGcsDestination() { * .google.cloud.automl.v1.GcsDestination gcs_destination = 1 [(.google.api.field_behavior) = REQUIRED]; * */ - @java.lang.Override public com.google.cloud.automl.v1.GcsDestinationOrBuilder getGcsDestinationOrBuilder() { if (destinationCase_ == 1) { return (com.google.cloud.automl.v1.GcsDestination) destination_; @@ -667,7 +664,6 @@ public Builder clearDestination() { * * @return Whether the gcsDestination field is set. */ - @java.lang.Override public boolean hasGcsDestination() { return destinationCase_ == 1; } @@ -689,7 +685,6 @@ public boolean hasGcsDestination() { * * @return The gcsDestination. */ - @java.lang.Override public com.google.cloud.automl.v1.GcsDestination getGcsDestination() { if (gcsDestinationBuilder_ == null) { if (destinationCase_ == 1) { @@ -864,7 +859,6 @@ public com.google.cloud.automl.v1.GcsDestination.Builder getGcsDestinationBuilde * .google.cloud.automl.v1.GcsDestination gcs_destination = 1 [(.google.api.field_behavior) = REQUIRED]; * */ - @java.lang.Override public com.google.cloud.automl.v1.GcsDestinationOrBuilder getGcsDestinationOrBuilder() { if ((destinationCase_ == 1) && (gcsDestinationBuilder_ != null)) { return gcsDestinationBuilder_.getMessageOrBuilder(); diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/PredictRequest.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/PredictRequest.java index 6580798c9..06fb7ea51 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/PredictRequest.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/PredictRequest.java @@ -167,7 +167,6 @@ protected com.google.protobuf.MapField internalGetMapField(int number) { * * @return The name. */ - @java.lang.Override public java.lang.String getName() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { @@ -192,7 +191,6 @@ public java.lang.String getName() { * * @return The bytes for name. */ - @java.lang.Override public com.google.protobuf.ByteString getNameBytes() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { @@ -221,7 +219,6 @@ public com.google.protobuf.ByteString getNameBytes() { * * @return Whether the payload field is set. */ - @java.lang.Override public boolean hasPayload() { return payload_ != null; } @@ -239,7 +236,6 @@ public boolean hasPayload() { * * @return The payload. */ - @java.lang.Override public com.google.cloud.automl.v1.ExamplePayload getPayload() { return payload_ == null ? com.google.cloud.automl.v1.ExamplePayload.getDefaultInstance() @@ -257,7 +253,6 @@ public com.google.cloud.automl.v1.ExamplePayload getPayload() { * .google.cloud.automl.v1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED]; * */ - @java.lang.Override public com.google.cloud.automl.v1.ExamplePayloadOrBuilder getPayloadOrBuilder() { return getPayload(); } @@ -318,7 +313,6 @@ public int getParamsCount() { * * map<string, string> params = 3; */ - @java.lang.Override public boolean containsParams(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); @@ -326,7 +320,6 @@ public boolean containsParams(java.lang.String key) { return internalGetParams().getMap().containsKey(key); } /** Use {@link #getParamsMap()} instead. */ - @java.lang.Override @java.lang.Deprecated public java.util.Map getParams() { return getParamsMap(); @@ -362,7 +355,6 @@ public java.util.Map getParams() { * * map<string, string> params = 3; */ - @java.lang.Override public java.util.Map getParamsMap() { return internalGetParams().getMap(); } @@ -397,7 +389,6 @@ public java.util.Map getParamsMap() { * * map<string, string> params = 3; */ - @java.lang.Override public java.lang.String getParamsOrDefault(java.lang.String key, java.lang.String defaultValue) { if (key == null) { throw new java.lang.NullPointerException(); @@ -436,7 +427,6 @@ public java.lang.String getParamsOrDefault(java.lang.String key, java.lang.Strin * * map<string, string> params = 3; */ - @java.lang.Override public java.lang.String getParamsOrThrow(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); @@ -1220,7 +1210,6 @@ public int getParamsCount() { * * map<string, string> params = 3; */ - @java.lang.Override public boolean containsParams(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); @@ -1228,7 +1217,6 @@ public boolean containsParams(java.lang.String key) { return internalGetParams().getMap().containsKey(key); } /** Use {@link #getParamsMap()} instead. */ - @java.lang.Override @java.lang.Deprecated public java.util.Map getParams() { return getParamsMap(); @@ -1264,7 +1252,6 @@ public java.util.Map getParams() { * * map<string, string> params = 3; */ - @java.lang.Override public java.util.Map getParamsMap() { return internalGetParams().getMap(); } @@ -1299,7 +1286,6 @@ public java.util.Map getParamsMap() { * * map<string, string> params = 3; */ - @java.lang.Override public java.lang.String getParamsOrDefault( java.lang.String key, java.lang.String defaultValue) { if (key == null) { @@ -1339,7 +1325,6 @@ public java.lang.String getParamsOrDefault( * * map<string, string> params = 3; */ - @java.lang.Override public java.lang.String getParamsOrThrow(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/PredictResponse.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/PredictResponse.java index 2b6a2630f..f5702c897 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/PredictResponse.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/PredictResponse.java @@ -174,7 +174,6 @@ protected com.google.protobuf.MapField internalGetMapField(int number) { * * repeated .google.cloud.automl.v1.AnnotationPayload payload = 1; */ - @java.lang.Override public java.util.List getPayloadList() { return payload_; } @@ -189,7 +188,6 @@ public java.util.List getPayloadLi * * repeated .google.cloud.automl.v1.AnnotationPayload payload = 1; */ - @java.lang.Override public java.util.List getPayloadOrBuilderList() { return payload_; @@ -205,7 +203,6 @@ public java.util.List getPayloadLi * * repeated .google.cloud.automl.v1.AnnotationPayload payload = 1; */ - @java.lang.Override public int getPayloadCount() { return payload_.size(); } @@ -220,7 +217,6 @@ public int getPayloadCount() { * * repeated .google.cloud.automl.v1.AnnotationPayload payload = 1; */ - @java.lang.Override public com.google.cloud.automl.v1.AnnotationPayload getPayload(int index) { return payload_.get(index); } @@ -235,7 +231,6 @@ public com.google.cloud.automl.v1.AnnotationPayload getPayload(int index) { * * repeated .google.cloud.automl.v1.AnnotationPayload payload = 1; */ - @java.lang.Override public com.google.cloud.automl.v1.AnnotationPayloadOrBuilder getPayloadOrBuilder(int index) { return payload_.get(index); } @@ -259,7 +254,6 @@ public com.google.cloud.automl.v1.AnnotationPayloadOrBuilder getPayloadOrBuilder * * @return Whether the preprocessedInput field is set. */ - @java.lang.Override public boolean hasPreprocessedInput() { return preprocessedInput_ != null; } @@ -280,7 +274,6 @@ public boolean hasPreprocessedInput() { * * @return The preprocessedInput. */ - @java.lang.Override public com.google.cloud.automl.v1.ExamplePayload getPreprocessedInput() { return preprocessedInput_ == null ? com.google.cloud.automl.v1.ExamplePayload.getDefaultInstance() @@ -301,7 +294,6 @@ public com.google.cloud.automl.v1.ExamplePayload getPreprocessedInput() { * * .google.cloud.automl.v1.ExamplePayload preprocessed_input = 3; */ - @java.lang.Override public com.google.cloud.automl.v1.ExamplePayloadOrBuilder getPreprocessedInputOrBuilder() { return getPreprocessedInput(); } @@ -353,7 +345,6 @@ public int getMetadataCount() { * * map<string, string> metadata = 2; */ - @java.lang.Override public boolean containsMetadata(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); @@ -361,7 +352,6 @@ public boolean containsMetadata(java.lang.String key) { return internalGetMetadata().getMap().containsKey(key); } /** Use {@link #getMetadataMap()} instead. */ - @java.lang.Override @java.lang.Deprecated public java.util.Map getMetadata() { return getMetadataMap(); @@ -388,7 +378,6 @@ public java.util.Map getMetadata() { * * map<string, string> metadata = 2; */ - @java.lang.Override public java.util.Map getMetadataMap() { return internalGetMetadata().getMap(); } @@ -414,7 +403,6 @@ public java.util.Map getMetadataMap() { * * map<string, string> metadata = 2; */ - @java.lang.Override public java.lang.String getMetadataOrDefault( java.lang.String key, java.lang.String defaultValue) { if (key == null) { @@ -445,7 +433,6 @@ public java.lang.String getMetadataOrDefault( * * map<string, string> metadata = 2; */ - @java.lang.Override public java.lang.String getMetadataOrThrow(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); @@ -1558,7 +1545,6 @@ public int getMetadataCount() { * * map<string, string> metadata = 2; */ - @java.lang.Override public boolean containsMetadata(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); @@ -1566,7 +1552,6 @@ public boolean containsMetadata(java.lang.String key) { return internalGetMetadata().getMap().containsKey(key); } /** Use {@link #getMetadataMap()} instead. */ - @java.lang.Override @java.lang.Deprecated public java.util.Map getMetadata() { return getMetadataMap(); @@ -1593,7 +1578,6 @@ public java.util.Map getMetadata() { * * map<string, string> metadata = 2; */ - @java.lang.Override public java.util.Map getMetadataMap() { return internalGetMetadata().getMap(); } @@ -1619,7 +1603,6 @@ public java.util.Map getMetadataMap() { * * map<string, string> metadata = 2; */ - @java.lang.Override public java.lang.String getMetadataOrDefault( java.lang.String key, java.lang.String defaultValue) { if (key == null) { @@ -1650,7 +1633,6 @@ public java.lang.String getMetadataOrDefault( * * map<string, string> metadata = 2; */ - @java.lang.Override public java.lang.String getMetadataOrThrow(java.lang.String key) { if (key == null) { throw new java.lang.NullPointerException(); diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextClassificationDatasetMetadata.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextClassificationDatasetMetadata.java index d42298bd3..c493623c0 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextClassificationDatasetMetadata.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextClassificationDatasetMetadata.java @@ -125,7 +125,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The enum numeric value on the wire for classificationType. */ - @java.lang.Override public int getClassificationTypeValue() { return classificationType_; } @@ -140,7 +139,6 @@ public int getClassificationTypeValue() { * * @return The classificationType. */ - @java.lang.Override public com.google.cloud.automl.v1.ClassificationType getClassificationType() { @SuppressWarnings("deprecation") com.google.cloud.automl.v1.ClassificationType result = @@ -484,7 +482,6 @@ public Builder mergeFrom( * * @return The enum numeric value on the wire for classificationType. */ - @java.lang.Override public int getClassificationTypeValue() { return classificationType_; } @@ -501,7 +498,6 @@ public int getClassificationTypeValue() { * @return This builder for chaining. */ public Builder setClassificationTypeValue(int value) { - classificationType_ = value; onChanged(); return this; @@ -517,7 +513,6 @@ public Builder setClassificationTypeValue(int value) { * * @return The classificationType. */ - @java.lang.Override public com.google.cloud.automl.v1.ClassificationType getClassificationType() { @SuppressWarnings("deprecation") com.google.cloud.automl.v1.ClassificationType result = diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextClassificationModelMetadata.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextClassificationModelMetadata.java index b68b57f29..b50745b7a 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextClassificationModelMetadata.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextClassificationModelMetadata.java @@ -125,7 +125,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The enum numeric value on the wire for classificationType. */ - @java.lang.Override public int getClassificationTypeValue() { return classificationType_; } @@ -140,7 +139,6 @@ public int getClassificationTypeValue() { * * @return The classificationType. */ - @java.lang.Override public com.google.cloud.automl.v1.ClassificationType getClassificationType() { @SuppressWarnings("deprecation") com.google.cloud.automl.v1.ClassificationType result = @@ -482,7 +480,6 @@ public Builder mergeFrom( * * @return The enum numeric value on the wire for classificationType. */ - @java.lang.Override public int getClassificationTypeValue() { return classificationType_; } @@ -499,7 +496,6 @@ public int getClassificationTypeValue() { * @return This builder for chaining. */ public Builder setClassificationTypeValue(int value) { - classificationType_ = value; onChanged(); return this; @@ -515,7 +511,6 @@ public Builder setClassificationTypeValue(int value) { * * @return The classificationType. */ - @java.lang.Override public com.google.cloud.automl.v1.ClassificationType getClassificationType() { @SuppressWarnings("deprecation") com.google.cloud.automl.v1.ClassificationType result = diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextExtractionAnnotation.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextExtractionAnnotation.java index 12d908ef1..609434317 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextExtractionAnnotation.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextExtractionAnnotation.java @@ -180,7 +180,6 @@ public AnnotationCase getAnnotationCase() { * * @return Whether the textSegment field is set. */ - @java.lang.Override public boolean hasTextSegment() { return annotationCase_ == 3; } @@ -196,7 +195,6 @@ public boolean hasTextSegment() { * * @return The textSegment. */ - @java.lang.Override public com.google.cloud.automl.v1.TextSegment getTextSegment() { if (annotationCase_ == 3) { return (com.google.cloud.automl.v1.TextSegment) annotation_; @@ -213,7 +211,6 @@ public com.google.cloud.automl.v1.TextSegment getTextSegment() { * * .google.cloud.automl.v1.TextSegment text_segment = 3; */ - @java.lang.Override public com.google.cloud.automl.v1.TextSegmentOrBuilder getTextSegmentOrBuilder() { if (annotationCase_ == 3) { return (com.google.cloud.automl.v1.TextSegment) annotation_; @@ -235,7 +232,6 @@ public com.google.cloud.automl.v1.TextSegmentOrBuilder getTextSegmentOrBuilder() * * @return The score. */ - @java.lang.Override public float getScore() { return score_; } @@ -634,7 +630,6 @@ public Builder clearAnnotation() { * * @return Whether the textSegment field is set. */ - @java.lang.Override public boolean hasTextSegment() { return annotationCase_ == 3; } @@ -650,7 +645,6 @@ public boolean hasTextSegment() { * * @return The textSegment. */ - @java.lang.Override public com.google.cloud.automl.v1.TextSegment getTextSegment() { if (textSegmentBuilder_ == null) { if (annotationCase_ == 3) { @@ -788,7 +782,6 @@ public com.google.cloud.automl.v1.TextSegment.Builder getTextSegmentBuilder() { * * .google.cloud.automl.v1.TextSegment text_segment = 3; */ - @java.lang.Override public com.google.cloud.automl.v1.TextSegmentOrBuilder getTextSegmentOrBuilder() { if ((annotationCase_ == 3) && (textSegmentBuilder_ != null)) { return textSegmentBuilder_.getMessageOrBuilder(); @@ -847,7 +840,6 @@ public com.google.cloud.automl.v1.TextSegmentOrBuilder getTextSegmentOrBuilder() * * @return The score. */ - @java.lang.Override public float getScore() { return score_; } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextExtractionEvaluationMetrics.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextExtractionEvaluationMetrics.java index 0abc7644f..7c43d9737 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextExtractionEvaluationMetrics.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextExtractionEvaluationMetrics.java @@ -312,7 +312,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The confidenceThreshold. */ - @java.lang.Override public float getConfidenceThreshold() { return confidenceThreshold_; } @@ -330,7 +329,6 @@ public float getConfidenceThreshold() { * * @return The recall. */ - @java.lang.Override public float getRecall() { return recall_; } @@ -348,7 +346,6 @@ public float getRecall() { * * @return The precision. */ - @java.lang.Override public float getPrecision() { return precision_; } @@ -366,7 +363,6 @@ public float getPrecision() { * * @return The f1Score. */ - @java.lang.Override public float getF1Score() { return f1Score_; } @@ -783,7 +779,6 @@ public Builder mergeFrom( * * @return The confidenceThreshold. */ - @java.lang.Override public float getConfidenceThreshold() { return confidenceThreshold_; } @@ -839,7 +834,6 @@ public Builder clearConfidenceThreshold() { * * @return The recall. */ - @java.lang.Override public float getRecall() { return recall_; } @@ -891,7 +885,6 @@ public Builder clearRecall() { * * @return The precision. */ - @java.lang.Override public float getPrecision() { return precision_; } @@ -943,7 +936,6 @@ public Builder clearPrecision() { * * @return The f1Score. */ - @java.lang.Override public float getF1Score() { return f1Score_; } @@ -1053,7 +1045,6 @@ public com.google.protobuf.Parser getParserForType() { * * @return The auPrc. */ - @java.lang.Override public float getAuPrc() { return auPrc_; } @@ -1074,7 +1065,6 @@ public float getAuPrc() { * repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; * */ - @java.lang.Override public java.util.List< com.google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry> getConfidenceMetricsEntriesList() { @@ -1092,7 +1082,6 @@ public float getAuPrc() { * repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; * */ - @java.lang.Override public java.util.List< ? extends com.google.cloud.automl.v1.TextExtractionEvaluationMetrics @@ -1112,7 +1101,6 @@ public float getAuPrc() { * repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; * */ - @java.lang.Override public int getConfidenceMetricsEntriesCount() { return confidenceMetricsEntries_.size(); } @@ -1128,7 +1116,6 @@ public int getConfidenceMetricsEntriesCount() { * repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; * */ - @java.lang.Override public com.google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry getConfidenceMetricsEntries(int index) { return confidenceMetricsEntries_.get(index); @@ -1145,7 +1132,6 @@ public int getConfidenceMetricsEntriesCount() { * repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; * */ - @java.lang.Override public com.google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntryOrBuilder getConfidenceMetricsEntriesOrBuilder(int index) { return confidenceMetricsEntries_.get(index); @@ -1544,7 +1530,6 @@ public Builder mergeFrom( * * @return The auPrc. */ - @java.lang.Override public float getAuPrc() { return auPrc_; } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextSegment.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextSegment.java index c3e279b35..b4428f9bc 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextSegment.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextSegment.java @@ -134,7 +134,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The content. */ - @java.lang.Override public java.lang.String getContent() { java.lang.Object ref = content_; if (ref instanceof java.lang.String) { @@ -157,7 +156,6 @@ public java.lang.String getContent() { * * @return The bytes for content. */ - @java.lang.Override public com.google.protobuf.ByteString getContentBytes() { java.lang.Object ref = content_; if (ref instanceof java.lang.String) { @@ -184,7 +182,6 @@ public com.google.protobuf.ByteString getContentBytes() { * * @return The startOffset. */ - @java.lang.Override public long getStartOffset() { return startOffset_; } @@ -204,7 +201,6 @@ public long getStartOffset() { * * @return The endOffset. */ - @java.lang.Override public long getEndOffset() { return endOffset_; } @@ -673,7 +669,6 @@ public Builder setContentBytes(com.google.protobuf.ByteString value) { * * @return The startOffset. */ - @java.lang.Override public long getStartOffset() { return startOffset_; } @@ -729,7 +724,6 @@ public Builder clearStartOffset() { * * @return The endOffset. */ - @java.lang.Override public long getEndOffset() { return endOffset_; } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextSentimentAnnotation.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextSentimentAnnotation.java index dca4ca663..9fcc26985 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextSentimentAnnotation.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextSentimentAnnotation.java @@ -131,7 +131,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The sentiment. */ - @java.lang.Override public int getSentiment() { return sentiment_; } @@ -476,7 +475,6 @@ public Builder mergeFrom( * * @return The sentiment. */ - @java.lang.Override public int getSentiment() { return sentiment_; } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextSentimentDatasetMetadata.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextSentimentDatasetMetadata.java index 3d9ca71d1..2785158b9 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextSentimentDatasetMetadata.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextSentimentDatasetMetadata.java @@ -125,7 +125,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The sentimentMax. */ - @java.lang.Override public int getSentimentMax() { return sentimentMax_; } @@ -465,7 +464,6 @@ public Builder mergeFrom( * * @return The sentimentMax. */ - @java.lang.Override public int getSentimentMax() { return sentimentMax_; } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextSentimentEvaluationMetrics.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextSentimentEvaluationMetrics.java index 9c10bafd0..e6c89675d 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextSentimentEvaluationMetrics.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextSentimentEvaluationMetrics.java @@ -170,7 +170,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The precision. */ - @java.lang.Override public float getPrecision() { return precision_; } @@ -188,7 +187,6 @@ public float getPrecision() { * * @return The recall. */ - @java.lang.Override public float getRecall() { return recall_; } @@ -206,7 +204,6 @@ public float getRecall() { * * @return The f1Score. */ - @java.lang.Override public float getF1Score() { return f1Score_; } @@ -225,7 +222,6 @@ public float getF1Score() { * * @return The meanAbsoluteError. */ - @java.lang.Override public float getMeanAbsoluteError() { return meanAbsoluteError_; } @@ -244,7 +240,6 @@ public float getMeanAbsoluteError() { * * @return The meanSquaredError. */ - @java.lang.Override public float getMeanSquaredError() { return meanSquaredError_; } @@ -263,7 +258,6 @@ public float getMeanSquaredError() { * * @return The linearKappa. */ - @java.lang.Override public float getLinearKappa() { return linearKappa_; } @@ -282,7 +276,6 @@ public float getLinearKappa() { * * @return The quadraticKappa. */ - @java.lang.Override public float getQuadraticKappa() { return quadraticKappa_; } @@ -305,7 +298,6 @@ public float getQuadraticKappa() { * * @return Whether the confusionMatrix field is set. */ - @java.lang.Override public boolean hasConfusionMatrix() { return confusionMatrix_ != null; } @@ -324,7 +316,6 @@ public boolean hasConfusionMatrix() { * * @return The confusionMatrix. */ - @java.lang.Override public com.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix getConfusionMatrix() { return confusionMatrix_ == null @@ -345,7 +336,6 @@ public boolean hasConfusionMatrix() { * .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; * */ - @java.lang.Override public com.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder getConfusionMatrixOrBuilder() { return getConfusionMatrix(); @@ -806,7 +796,6 @@ public Builder mergeFrom( * * @return The precision. */ - @java.lang.Override public float getPrecision() { return precision_; } @@ -858,7 +847,6 @@ public Builder clearPrecision() { * * @return The recall. */ - @java.lang.Override public float getRecall() { return recall_; } @@ -910,7 +898,6 @@ public Builder clearRecall() { * * @return The f1Score. */ - @java.lang.Override public float getF1Score() { return f1Score_; } @@ -963,7 +950,6 @@ public Builder clearF1Score() { * * @return The meanAbsoluteError. */ - @java.lang.Override public float getMeanAbsoluteError() { return meanAbsoluteError_; } @@ -1018,7 +1004,6 @@ public Builder clearMeanAbsoluteError() { * * @return The meanSquaredError. */ - @java.lang.Override public float getMeanSquaredError() { return meanSquaredError_; } @@ -1073,7 +1058,6 @@ public Builder clearMeanSquaredError() { * * @return The linearKappa. */ - @java.lang.Override public float getLinearKappa() { return linearKappa_; } @@ -1128,7 +1112,6 @@ public Builder clearLinearKappa() { * * @return The quadraticKappa. */ - @java.lang.Override public float getQuadraticKappa() { return quadraticKappa_; } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextSnippet.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextSnippet.java index 205602de5..71c569fd1 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextSnippet.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TextSnippet.java @@ -141,7 +141,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The content. */ - @java.lang.Override public java.lang.String getContent() { java.lang.Object ref = content_; if (ref instanceof java.lang.String) { @@ -165,7 +164,6 @@ public java.lang.String getContent() { * * @return The bytes for content. */ - @java.lang.Override public com.google.protobuf.ByteString getContentBytes() { java.lang.Object ref = content_; if (ref instanceof java.lang.String) { @@ -193,7 +191,6 @@ public com.google.protobuf.ByteString getContentBytes() { * * @return The mimeType. */ - @java.lang.Override public java.lang.String getMimeType() { java.lang.Object ref = mimeType_; if (ref instanceof java.lang.String) { @@ -218,7 +215,6 @@ public java.lang.String getMimeType() { * * @return The bytes for mimeType. */ - @java.lang.Override public com.google.protobuf.ByteString getMimeTypeBytes() { java.lang.Object ref = mimeType_; if (ref instanceof java.lang.String) { @@ -244,7 +240,6 @@ public com.google.protobuf.ByteString getMimeTypeBytes() { * * @return The contentUri. */ - @java.lang.Override public java.lang.String getContentUri() { java.lang.Object ref = contentUri_; if (ref instanceof java.lang.String) { @@ -267,7 +262,6 @@ public java.lang.String getContentUri() { * * @return The bytes for contentUri. */ - @java.lang.Override public com.google.protobuf.ByteString getContentUriBytes() { java.lang.Object ref = contentUri_; if (ref instanceof java.lang.String) { diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TranslationAnnotation.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TranslationAnnotation.java index b2ddf4ee3..7ff31440b 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TranslationAnnotation.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TranslationAnnotation.java @@ -131,7 +131,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return Whether the translatedContent field is set. */ - @java.lang.Override public boolean hasTranslatedContent() { return translatedContent_ != null; } @@ -146,7 +145,6 @@ public boolean hasTranslatedContent() { * * @return The translatedContent. */ - @java.lang.Override public com.google.cloud.automl.v1.TextSnippet getTranslatedContent() { return translatedContent_ == null ? com.google.cloud.automl.v1.TextSnippet.getDefaultInstance() @@ -161,7 +159,6 @@ public com.google.cloud.automl.v1.TextSnippet getTranslatedContent() { * * .google.cloud.automl.v1.TextSnippet translated_content = 1; */ - @java.lang.Override public com.google.cloud.automl.v1.TextSnippetOrBuilder getTranslatedContentOrBuilder() { return getTranslatedContent(); } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TranslationDatasetMetadata.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TranslationDatasetMetadata.java index af320ece1..030c6f207 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TranslationDatasetMetadata.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TranslationDatasetMetadata.java @@ -132,7 +132,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The sourceLanguageCode. */ - @java.lang.Override public java.lang.String getSourceLanguageCode() { java.lang.Object ref = sourceLanguageCode_; if (ref instanceof java.lang.String) { @@ -155,7 +154,6 @@ public java.lang.String getSourceLanguageCode() { * * @return The bytes for sourceLanguageCode. */ - @java.lang.Override public com.google.protobuf.ByteString getSourceLanguageCodeBytes() { java.lang.Object ref = sourceLanguageCode_; if (ref instanceof java.lang.String) { @@ -181,7 +179,6 @@ public com.google.protobuf.ByteString getSourceLanguageCodeBytes() { * * @return The targetLanguageCode. */ - @java.lang.Override public java.lang.String getTargetLanguageCode() { java.lang.Object ref = targetLanguageCode_; if (ref instanceof java.lang.String) { @@ -204,7 +201,6 @@ public java.lang.String getTargetLanguageCode() { * * @return The bytes for targetLanguageCode. */ - @java.lang.Override public com.google.protobuf.ByteString getTargetLanguageCodeBytes() { java.lang.Object ref = targetLanguageCode_; if (ref instanceof java.lang.String) { diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TranslationEvaluationMetrics.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TranslationEvaluationMetrics.java index 71148b638..44800af93 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TranslationEvaluationMetrics.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TranslationEvaluationMetrics.java @@ -125,7 +125,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The bleuScore. */ - @java.lang.Override public double getBleuScore() { return bleuScore_; } @@ -143,7 +142,6 @@ public double getBleuScore() { * * @return The baseBleuScore. */ - @java.lang.Override public double getBaseBleuScore() { return baseBleuScore_; } @@ -501,7 +499,6 @@ public Builder mergeFrom( * * @return The bleuScore. */ - @java.lang.Override public double getBleuScore() { return bleuScore_; } @@ -553,7 +550,6 @@ public Builder clearBleuScore() { * * @return The baseBleuScore. */ - @java.lang.Override public double getBaseBleuScore() { return baseBleuScore_; } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TranslationModelMetadata.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TranslationModelMetadata.java index 6b78c0a11..ae475c86a 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TranslationModelMetadata.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/TranslationModelMetadata.java @@ -143,7 +143,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The baseModel. */ - @java.lang.Override public java.lang.String getBaseModel() { java.lang.Object ref = baseModel_; if (ref instanceof java.lang.String) { @@ -169,7 +168,6 @@ public java.lang.String getBaseModel() { * * @return The bytes for baseModel. */ - @java.lang.Override public com.google.protobuf.ByteString getBaseModelBytes() { java.lang.Object ref = baseModel_; if (ref instanceof java.lang.String) { @@ -196,7 +194,6 @@ public com.google.protobuf.ByteString getBaseModelBytes() { * * @return The sourceLanguageCode. */ - @java.lang.Override public java.lang.String getSourceLanguageCode() { java.lang.Object ref = sourceLanguageCode_; if (ref instanceof java.lang.String) { @@ -220,7 +217,6 @@ public java.lang.String getSourceLanguageCode() { * * @return The bytes for sourceLanguageCode. */ - @java.lang.Override public com.google.protobuf.ByteString getSourceLanguageCodeBytes() { java.lang.Object ref = sourceLanguageCode_; if (ref instanceof java.lang.String) { @@ -247,7 +243,6 @@ public com.google.protobuf.ByteString getSourceLanguageCodeBytes() { * * @return The targetLanguageCode. */ - @java.lang.Override public java.lang.String getTargetLanguageCode() { java.lang.Object ref = targetLanguageCode_; if (ref instanceof java.lang.String) { @@ -271,7 +266,6 @@ public java.lang.String getTargetLanguageCode() { * * @return The bytes for targetLanguageCode. */ - @java.lang.Override public com.google.protobuf.ByteString getTargetLanguageCodeBytes() { java.lang.Object ref = targetLanguageCode_; if (ref instanceof java.lang.String) { diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/UndeployModelRequest.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/UndeployModelRequest.java index 415e05c46..1b85c40b3 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/UndeployModelRequest.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/UndeployModelRequest.java @@ -126,7 +126,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return The name. */ - @java.lang.Override public java.lang.String getName() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { @@ -151,7 +150,6 @@ public java.lang.String getName() { * * @return The bytes for name. */ - @java.lang.Override public com.google.protobuf.ByteString getNameBytes() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/UpdateDatasetRequest.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/UpdateDatasetRequest.java index a3d47a549..77141d443 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/UpdateDatasetRequest.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/UpdateDatasetRequest.java @@ -146,7 +146,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return Whether the dataset field is set. */ - @java.lang.Override public boolean hasDataset() { return dataset_ != null; } @@ -162,7 +161,6 @@ public boolean hasDataset() { * * @return The dataset. */ - @java.lang.Override public com.google.cloud.automl.v1.Dataset getDataset() { return dataset_ == null ? com.google.cloud.automl.v1.Dataset.getDefaultInstance() : dataset_; } @@ -176,7 +174,6 @@ public com.google.cloud.automl.v1.Dataset getDataset() { * .google.cloud.automl.v1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED]; * */ - @java.lang.Override public com.google.cloud.automl.v1.DatasetOrBuilder getDatasetOrBuilder() { return getDataset(); } @@ -195,7 +192,6 @@ public com.google.cloud.automl.v1.DatasetOrBuilder getDatasetOrBuilder() { * * @return Whether the updateMask field is set. */ - @java.lang.Override public boolean hasUpdateMask() { return updateMask_ != null; } @@ -211,7 +207,6 @@ public boolean hasUpdateMask() { * * @return The updateMask. */ - @java.lang.Override public com.google.protobuf.FieldMask getUpdateMask() { return updateMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : updateMask_; } @@ -225,7 +220,6 @@ public com.google.protobuf.FieldMask getUpdateMask() { * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED]; * */ - @java.lang.Override public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() { return getUpdateMask(); } diff --git a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/UpdateModelRequest.java b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/UpdateModelRequest.java index 009a4feff..bb49a4318 100644 --- a/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/UpdateModelRequest.java +++ b/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/UpdateModelRequest.java @@ -145,7 +145,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { * * @return Whether the model field is set. */ - @java.lang.Override public boolean hasModel() { return model_ != null; } @@ -160,7 +159,6 @@ public boolean hasModel() { * * @return The model. */ - @java.lang.Override public com.google.cloud.automl.v1.Model getModel() { return model_ == null ? com.google.cloud.automl.v1.Model.getDefaultInstance() : model_; } @@ -173,7 +171,6 @@ public com.google.cloud.automl.v1.Model getModel() { * * .google.cloud.automl.v1.Model model = 1 [(.google.api.field_behavior) = REQUIRED]; */ - @java.lang.Override public com.google.cloud.automl.v1.ModelOrBuilder getModelOrBuilder() { return getModel(); } @@ -192,7 +189,6 @@ public com.google.cloud.automl.v1.ModelOrBuilder getModelOrBuilder() { * * @return Whether the updateMask field is set. */ - @java.lang.Override public boolean hasUpdateMask() { return updateMask_ != null; } @@ -208,7 +204,6 @@ public boolean hasUpdateMask() { * * @return The updateMask. */ - @java.lang.Override public com.google.protobuf.FieldMask getUpdateMask() { return updateMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : updateMask_; } @@ -222,7 +217,6 @@ public com.google.protobuf.FieldMask getUpdateMask() { * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED]; * */ - @java.lang.Override public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() { return getUpdateMask(); } diff --git a/proto-google-cloud-automl-v1beta1/clirr-ignored-differences.xml b/proto-google-cloud-automl-v1beta1/clirr-ignored-differences.xml new file mode 100644 index 000000000..b752d65fc --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/clirr-ignored-differences.xml @@ -0,0 +1,14 @@ + + + + + 7012 + com/google/cloud/automl/v1beta1/*OrBuilder + * get*(*) + + + 7012 + com/google/cloud/automl/v1beta1/*OrBuilder + boolean contains*(*) + + diff --git a/proto-google-cloud-automl-v1beta1/pom.xml b/proto-google-cloud-automl-v1beta1/pom.xml new file mode 100644 index 000000000..bf7e53b0c --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/pom.xml @@ -0,0 +1,33 @@ + + 4.0.0 + com.google.api.grpc + proto-google-cloud-automl-v1beta1 + 0.82.3-SNAPSHOT + proto-google-cloud-automl-v1beta1 + PROTO library for proto-google-cloud-automl-v1beta1 + + com.google.cloud + google-cloud-automl-parent + 1.1.3-SNAPSHOT + + + + com.google.protobuf + protobuf-java + + + com.google.api.grpc + proto-google-common-protos + + + com.google.api + api-common + + + com.google.guava + guava + + + \ No newline at end of file diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationPayload.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationPayload.java new file mode 100644 index 000000000..9e6d46a06 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationPayload.java @@ -0,0 +1,3542 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/annotation_payload.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Contains annotation information that is relevant to AutoML.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.AnnotationPayload} + */ +public final class AnnotationPayload extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.AnnotationPayload) + AnnotationPayloadOrBuilder { + private static final long serialVersionUID = 0L; + // Use AnnotationPayload.newBuilder() to construct. + private AnnotationPayload(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private AnnotationPayload() { + annotationSpecId_ = ""; + displayName_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new AnnotationPayload(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private AnnotationPayload( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + annotationSpecId_ = s; + break; + } + case 18: + { + com.google.cloud.automl.v1beta1.TranslationAnnotation.Builder subBuilder = null; + if (detailCase_ == 2) { + subBuilder = + ((com.google.cloud.automl.v1beta1.TranslationAnnotation) detail_).toBuilder(); + } + detail_ = + input.readMessage( + com.google.cloud.automl.v1beta1.TranslationAnnotation.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.TranslationAnnotation) detail_); + detail_ = subBuilder.buildPartial(); + } + detailCase_ = 2; + break; + } + case 26: + { + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation.Builder + subBuilder = null; + if (detailCase_ == 3) { + subBuilder = + ((com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation) + detail_) + .toBuilder(); + } + detail_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + .parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation) + detail_); + detail_ = subBuilder.buildPartial(); + } + detailCase_ = 3; + break; + } + case 34: + { + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.Builder subBuilder = + null; + if (detailCase_ == 4) { + subBuilder = + ((com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) detail_) + .toBuilder(); + } + detail_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) detail_); + detail_ = subBuilder.buildPartial(); + } + detailCase_ = 4; + break; + } + case 42: + { + java.lang.String s = input.readStringRequireUtf8(); + + displayName_ = s; + break; + } + case 50: + { + com.google.cloud.automl.v1beta1.TextExtractionAnnotation.Builder subBuilder = null; + if (detailCase_ == 6) { + subBuilder = + ((com.google.cloud.automl.v1beta1.TextExtractionAnnotation) detail_) + .toBuilder(); + } + detail_ = + input.readMessage( + com.google.cloud.automl.v1beta1.TextExtractionAnnotation.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.TextExtractionAnnotation) detail_); + detail_ = subBuilder.buildPartial(); + } + detailCase_ = 6; + break; + } + case 58: + { + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.Builder + subBuilder = null; + if (detailCase_ == 7) { + subBuilder = + ((com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation) + detail_) + .toBuilder(); + } + detail_ = + input.readMessage( + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + .parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation) + detail_); + detail_ = subBuilder.buildPartial(); + } + detailCase_ = 7; + break; + } + case 66: + { + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation.Builder subBuilder = + null; + if (detailCase_ == 8) { + subBuilder = + ((com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation) detail_) + .toBuilder(); + } + detail_ = + input.readMessage( + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation) detail_); + detail_ = subBuilder.buildPartial(); + } + detailCase_ = 8; + break; + } + case 74: + { + com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + .Builder + subBuilder = null; + if (detailCase_ == 9) { + subBuilder = + ((com.google.cloud.automl.v1beta1.ClassificationProto + .VideoClassificationAnnotation) + detail_) + .toBuilder(); + } + detail_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ClassificationProto + .VideoClassificationAnnotation.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.ClassificationProto + .VideoClassificationAnnotation) + detail_); + detail_ = subBuilder.buildPartial(); + } + detailCase_ = 9; + break; + } + case 82: + { + com.google.cloud.automl.v1beta1.TablesAnnotation.Builder subBuilder = null; + if (detailCase_ == 10) { + subBuilder = + ((com.google.cloud.automl.v1beta1.TablesAnnotation) detail_).toBuilder(); + } + detail_ = + input.readMessage( + com.google.cloud.automl.v1beta1.TablesAnnotation.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.TablesAnnotation) detail_); + detail_ = subBuilder.buildPartial(); + } + detailCase_ = 10; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AnnotationPayloadOuterClass + .internal_static_google_cloud_automl_v1beta1_AnnotationPayload_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AnnotationPayloadOuterClass + .internal_static_google_cloud_automl_v1beta1_AnnotationPayload_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.AnnotationPayload.class, + com.google.cloud.automl.v1beta1.AnnotationPayload.Builder.class); + } + + private int detailCase_ = 0; + private java.lang.Object detail_; + + public enum DetailCase + implements + com.google.protobuf.Internal.EnumLite, + com.google.protobuf.AbstractMessage.InternalOneOfEnum { + TRANSLATION(2), + CLASSIFICATION(3), + IMAGE_OBJECT_DETECTION(4), + VIDEO_CLASSIFICATION(9), + VIDEO_OBJECT_TRACKING(8), + TEXT_EXTRACTION(6), + TEXT_SENTIMENT(7), + TABLES(10), + DETAIL_NOT_SET(0); + private final int value; + + private DetailCase(int value) { + this.value = value; + } + /** + * @param value The number of the enum to look for. + * @return The enum associated with the given number. + * @deprecated Use {@link #forNumber(int)} instead. + */ + @java.lang.Deprecated + public static DetailCase valueOf(int value) { + return forNumber(value); + } + + public static DetailCase forNumber(int value) { + switch (value) { + case 2: + return TRANSLATION; + case 3: + return CLASSIFICATION; + case 4: + return IMAGE_OBJECT_DETECTION; + case 9: + return VIDEO_CLASSIFICATION; + case 8: + return VIDEO_OBJECT_TRACKING; + case 6: + return TEXT_EXTRACTION; + case 7: + return TEXT_SENTIMENT; + case 10: + return TABLES; + case 0: + return DETAIL_NOT_SET; + default: + return null; + } + } + + public int getNumber() { + return this.value; + } + }; + + public DetailCase getDetailCase() { + return DetailCase.forNumber(detailCase_); + } + + public static final int TRANSLATION_FIELD_NUMBER = 2; + /** + * + * + * 
+   * Annotation details for translation.
+   *
+ * + * .google.cloud.automl.v1beta1.TranslationAnnotation translation = 2; + * + * @return Whether the translation field is set. + */ + public boolean hasTranslation() { + return detailCase_ == 2; + } + /** + * + * + * 
+   * Annotation details for translation.
+   *
+ * + * .google.cloud.automl.v1beta1.TranslationAnnotation translation = 2; + * + * @return The translation. + */ + public com.google.cloud.automl.v1beta1.TranslationAnnotation getTranslation() { + if (detailCase_ == 2) { + return (com.google.cloud.automl.v1beta1.TranslationAnnotation) detail_; + } + return com.google.cloud.automl.v1beta1.TranslationAnnotation.getDefaultInstance(); + } + /** + * + * + * 
+   * Annotation details for translation.
+   *
+ * + * .google.cloud.automl.v1beta1.TranslationAnnotation translation = 2; + */ + public com.google.cloud.automl.v1beta1.TranslationAnnotationOrBuilder getTranslationOrBuilder() { + if (detailCase_ == 2) { + return (com.google.cloud.automl.v1beta1.TranslationAnnotation) detail_; + } + return com.google.cloud.automl.v1beta1.TranslationAnnotation.getDefaultInstance(); + } + + public static final int CLASSIFICATION_FIELD_NUMBER = 3; + /** + * + * + * 
+   * Annotation details for content or image classification.
+   *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification = 3; + * + * @return Whether the classification field is set. + */ + public boolean hasClassification() { + return detailCase_ == 3; + } + /** + * + * + * 
+   * Annotation details for content or image classification.
+   *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification = 3; + * + * @return The classification. + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + getClassification() { + if (detailCase_ == 3) { + return (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation) detail_; + } + return com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + .getDefaultInstance(); + } + /** + * + * + * 
+   * Annotation details for content or image classification.
+   *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification = 3; + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotationOrBuilder + getClassificationOrBuilder() { + if (detailCase_ == 3) { + return (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation) detail_; + } + return com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + .getDefaultInstance(); + } + + public static final int IMAGE_OBJECT_DETECTION_FIELD_NUMBER = 4; + /** + * + * + * 
+   * Annotation details for image object detection.
+   *
+ * + * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4; + * + * + * @return Whether the imageObjectDetection field is set. + */ + public boolean hasImageObjectDetection() { + return detailCase_ == 4; + } + /** + * + * + * 
+   * Annotation details for image object detection.
+   *
+ * + * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4; + * + * + * @return The imageObjectDetection. + */ + public com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation getImageObjectDetection() { + if (detailCase_ == 4) { + return (com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) detail_; + } + return com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.getDefaultInstance(); + } + /** + * + * + * 
+   * Annotation details for image object detection.
+   *
+ * + * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4; + * + */ + public com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotationOrBuilder + getImageObjectDetectionOrBuilder() { + if (detailCase_ == 4) { + return (com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) detail_; + } + return com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.getDefaultInstance(); + } + + public static final int VIDEO_CLASSIFICATION_FIELD_NUMBER = 9; + /** + * + * + * 
+   * Annotation details for video classification.
+   * Returned for Video Classification predictions.
+   *
+ * + * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9; + * + * + * @return Whether the videoClassification field is set. + */ + public boolean hasVideoClassification() { + return detailCase_ == 9; + } + /** + * + * + * 
+   * Annotation details for video classification.
+   * Returned for Video Classification predictions.
+   *
+ * + * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9; + * + * + * @return The videoClassification. + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + getVideoClassification() { + if (detailCase_ == 9) { + return (com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation) + detail_; + } + return com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + .getDefaultInstance(); + } + /** + * + * + * 
+   * Annotation details for video classification.
+   * Returned for Video Classification predictions.
+   *
+ * + * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotationOrBuilder + getVideoClassificationOrBuilder() { + if (detailCase_ == 9) { + return (com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation) + detail_; + } + return com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + .getDefaultInstance(); + } + + public static final int VIDEO_OBJECT_TRACKING_FIELD_NUMBER = 8; + /** + * + * + * 
+   * Annotation details for video object tracking.
+   *
+ * + * .google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation video_object_tracking = 8; + * + * + * @return Whether the videoObjectTracking field is set. + */ + public boolean hasVideoObjectTracking() { + return detailCase_ == 8; + } + /** + * + * + * 
+   * Annotation details for video object tracking.
+   *
+ * + * .google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation video_object_tracking = 8; + * + * + * @return The videoObjectTracking. + */ + public com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation getVideoObjectTracking() { + if (detailCase_ == 8) { + return (com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation) detail_; + } + return com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation.getDefaultInstance(); + } + /** + * + * + * 
+   * Annotation details for video object tracking.
+   *
+ * + * .google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation video_object_tracking = 8; + * + */ + public com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotationOrBuilder + getVideoObjectTrackingOrBuilder() { + if (detailCase_ == 8) { + return (com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation) detail_; + } + return com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation.getDefaultInstance(); + } + + public static final int TEXT_EXTRACTION_FIELD_NUMBER = 6; + /** + * + * + * 
+   * Annotation details for text extraction.
+   *
+ * + * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6; + * + * @return Whether the textExtraction field is set. + */ + public boolean hasTextExtraction() { + return detailCase_ == 6; + } + /** + * + * + * 
+   * Annotation details for text extraction.
+   *
+ * + * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6; + * + * @return The textExtraction. + */ + public com.google.cloud.automl.v1beta1.TextExtractionAnnotation getTextExtraction() { + if (detailCase_ == 6) { + return (com.google.cloud.automl.v1beta1.TextExtractionAnnotation) detail_; + } + return com.google.cloud.automl.v1beta1.TextExtractionAnnotation.getDefaultInstance(); + } + /** + * + * + * 
+   * Annotation details for text extraction.
+   *
+ * + * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6; + */ + public com.google.cloud.automl.v1beta1.TextExtractionAnnotationOrBuilder + getTextExtractionOrBuilder() { + if (detailCase_ == 6) { + return (com.google.cloud.automl.v1beta1.TextExtractionAnnotation) detail_; + } + return com.google.cloud.automl.v1beta1.TextExtractionAnnotation.getDefaultInstance(); + } + + public static final int TEXT_SENTIMENT_FIELD_NUMBER = 7; + /** + * + * + * 
+   * Annotation details for text sentiment.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7; + * + * @return Whether the textSentiment field is set. + */ + public boolean hasTextSentiment() { + return detailCase_ == 7; + } + /** + * + * + * 
+   * Annotation details for text sentiment.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7; + * + * @return The textSentiment. + */ + public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + getTextSentiment() { + if (detailCase_ == 7) { + return (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation) detail_; + } + return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + .getDefaultInstance(); + } + /** + * + * + * 
+   * Annotation details for text sentiment.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7; + */ + public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotationOrBuilder + getTextSentimentOrBuilder() { + if (detailCase_ == 7) { + return (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation) detail_; + } + return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + .getDefaultInstance(); + } + + public static final int TABLES_FIELD_NUMBER = 10; + /** + * + * + * 
+   * Annotation details for Tables.
+   *
+ * + * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10; + * + * @return Whether the tables field is set. + */ + public boolean hasTables() { + return detailCase_ == 10; + } + /** + * + * + * 
+   * Annotation details for Tables.
+   *
+ * + * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10; + * + * @return The tables. + */ + public com.google.cloud.automl.v1beta1.TablesAnnotation getTables() { + if (detailCase_ == 10) { + return (com.google.cloud.automl.v1beta1.TablesAnnotation) detail_; + } + return com.google.cloud.automl.v1beta1.TablesAnnotation.getDefaultInstance(); + } + /** + * + * + * 
+   * Annotation details for Tables.
+   *
+ * + * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10; + */ + public com.google.cloud.automl.v1beta1.TablesAnnotationOrBuilder getTablesOrBuilder() { + if (detailCase_ == 10) { + return (com.google.cloud.automl.v1beta1.TablesAnnotation) detail_; + } + return com.google.cloud.automl.v1beta1.TablesAnnotation.getDefaultInstance(); + } + + public static final int ANNOTATION_SPEC_ID_FIELD_NUMBER = 1; + private volatile java.lang.Object annotationSpecId_; + /** + * + * + * 
+   * Output only . The resource ID of the annotation spec that
+   * this annotation pertains to. The annotation spec comes from either an
+   * ancestor dataset, or the dataset that was used to train the model in use.
+   *
+ * + * string annotation_spec_id = 1; + * + * @return The annotationSpecId. + */ + public java.lang.String getAnnotationSpecId() { + java.lang.Object ref = annotationSpecId_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + annotationSpecId_ = s; + return s; + } + } + /** + * + * + * 
+   * Output only . The resource ID of the annotation spec that
+   * this annotation pertains to. The annotation spec comes from either an
+   * ancestor dataset, or the dataset that was used to train the model in use.
+   *
+ * + * string annotation_spec_id = 1; + * + * @return The bytes for annotationSpecId. + */ + public com.google.protobuf.ByteString getAnnotationSpecIdBytes() { + java.lang.Object ref = annotationSpecId_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + annotationSpecId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int DISPLAY_NAME_FIELD_NUMBER = 5; + private volatile java.lang.Object displayName_; + /** + * + * + * 
+   * Output only. The value of
+   * [display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name]
+   * when the model was trained. Because this field returns a value at model
+   * training time, for different models trained using the same dataset, the
+   * returned value could be different as model owner could update the
+   * `display_name` between any two model training.
+   *
+ * + * string display_name = 5; + * + * @return The displayName. + */ + public java.lang.String getDisplayName() { + java.lang.Object ref = displayName_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + displayName_ = s; + return s; + } + } + /** + * + * + * 
+   * Output only. The value of
+   * [display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name]
+   * when the model was trained. Because this field returns a value at model
+   * training time, for different models trained using the same dataset, the
+   * returned value could be different as model owner could update the
+   * `display_name` between any two model training.
+   *
+ * + * string display_name = 5; + * + * @return The bytes for displayName. + */ + public com.google.protobuf.ByteString getDisplayNameBytes() { + java.lang.Object ref = displayName_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + displayName_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getAnnotationSpecIdBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, annotationSpecId_); + } + if (detailCase_ == 2) { + output.writeMessage(2, (com.google.cloud.automl.v1beta1.TranslationAnnotation) detail_); + } + if (detailCase_ == 3) { + output.writeMessage( + 3, + (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation) detail_); + } + if (detailCase_ == 4) { + output.writeMessage( + 4, (com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) detail_); + } + if (!getDisplayNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 5, displayName_); + } + if (detailCase_ == 6) { + output.writeMessage(6, (com.google.cloud.automl.v1beta1.TextExtractionAnnotation) detail_); + } + if (detailCase_ == 7) { + output.writeMessage( + 7, (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation) detail_); + } + if (detailCase_ == 8) { + output.writeMessage( + 8, (com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation) detail_); + } + if (detailCase_ == 9) { + output.writeMessage( + 9, + (com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation) + detail_); + } + if (detailCase_ == 10) { + output.writeMessage(10, (com.google.cloud.automl.v1beta1.TablesAnnotation) detail_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getAnnotationSpecIdBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, annotationSpecId_); + } + if (detailCase_ == 2) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 2, (com.google.cloud.automl.v1beta1.TranslationAnnotation) detail_); + } + if (detailCase_ == 3) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 3, + (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation) + detail_); + } + if (detailCase_ == 4) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 4, (com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) detail_); + } + if (!getDisplayNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(5, displayName_); + } + if (detailCase_ == 6) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 6, (com.google.cloud.automl.v1beta1.TextExtractionAnnotation) detail_); + } + if (detailCase_ == 7) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 7, + (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation) detail_); + } + if (detailCase_ == 8) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 8, (com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation) detail_); + } + if (detailCase_ == 9) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 9, + (com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation) + detail_); + } + if (detailCase_ == 10) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 10, (com.google.cloud.automl.v1beta1.TablesAnnotation) detail_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.AnnotationPayload)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.AnnotationPayload other = + (com.google.cloud.automl.v1beta1.AnnotationPayload) obj; + + if (!getAnnotationSpecId().equals(other.getAnnotationSpecId())) return false; + if (!getDisplayName().equals(other.getDisplayName())) return false; + if (!getDetailCase().equals(other.getDetailCase())) return false; + switch (detailCase_) { + case 2: + if (!getTranslation().equals(other.getTranslation())) return false; + break; + case 3: + if (!getClassification().equals(other.getClassification())) return false; + break; + case 4: + if (!getImageObjectDetection().equals(other.getImageObjectDetection())) return false; + break; + case 9: + if (!getVideoClassification().equals(other.getVideoClassification())) return false; + break; + case 8: + if (!getVideoObjectTracking().equals(other.getVideoObjectTracking())) return false; + break; + case 6: + if (!getTextExtraction().equals(other.getTextExtraction())) return false; + break; + case 7: + if (!getTextSentiment().equals(other.getTextSentiment())) return false; + break; + case 10: + if (!getTables().equals(other.getTables())) return false; + break; + case 0: + default: + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + ANNOTATION_SPEC_ID_FIELD_NUMBER; + hash = (53 * hash) + getAnnotationSpecId().hashCode(); + hash = (37 * hash) + DISPLAY_NAME_FIELD_NUMBER; + hash = (53 * hash) + getDisplayName().hashCode(); + switch (detailCase_) { + case 2: + hash = (37 * hash) + TRANSLATION_FIELD_NUMBER; + hash = (53 * hash) + getTranslation().hashCode(); + break; + case 3: + hash = (37 * hash) + CLASSIFICATION_FIELD_NUMBER; + hash = (53 * hash) + getClassification().hashCode(); + break; + case 4: + hash = (37 * hash) + IMAGE_OBJECT_DETECTION_FIELD_NUMBER; + hash = (53 * hash) + getImageObjectDetection().hashCode(); + break; + case 9: + hash = (37 * hash) + VIDEO_CLASSIFICATION_FIELD_NUMBER; + hash = (53 * hash) + getVideoClassification().hashCode(); + break; + case 8: + hash = (37 * hash) + VIDEO_OBJECT_TRACKING_FIELD_NUMBER; + hash = (53 * hash) + getVideoObjectTracking().hashCode(); + break; + case 6: + hash = (37 * hash) + TEXT_EXTRACTION_FIELD_NUMBER; + hash = (53 * hash) + getTextExtraction().hashCode(); + break; + case 7: + hash = (37 * hash) + TEXT_SENTIMENT_FIELD_NUMBER; + hash = (53 * hash) + getTextSentiment().hashCode(); + break; + case 10: + hash = (37 * hash) + TABLES_FIELD_NUMBER; + hash = (53 * hash) + getTables().hashCode(); + break; + case 0: + default: + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.AnnotationPayload parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.AnnotationPayload parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.AnnotationPayload parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.AnnotationPayload parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.AnnotationPayload parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.AnnotationPayload parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.AnnotationPayload parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.AnnotationPayload parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.AnnotationPayload parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.AnnotationPayload parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.AnnotationPayload parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.AnnotationPayload parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.AnnotationPayload prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Contains annotation information that is relevant to AutoML.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.AnnotationPayload} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.AnnotationPayload) + com.google.cloud.automl.v1beta1.AnnotationPayloadOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AnnotationPayloadOuterClass + .internal_static_google_cloud_automl_v1beta1_AnnotationPayload_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AnnotationPayloadOuterClass + .internal_static_google_cloud_automl_v1beta1_AnnotationPayload_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.AnnotationPayload.class, + com.google.cloud.automl.v1beta1.AnnotationPayload.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.AnnotationPayload.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + annotationSpecId_ = ""; + + displayName_ = ""; + + detailCase_ = 0; + detail_ = null; + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AnnotationPayloadOuterClass + .internal_static_google_cloud_automl_v1beta1_AnnotationPayload_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.AnnotationPayload getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.AnnotationPayload.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.AnnotationPayload build() { + com.google.cloud.automl.v1beta1.AnnotationPayload result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.AnnotationPayload buildPartial() { + com.google.cloud.automl.v1beta1.AnnotationPayload result = + new com.google.cloud.automl.v1beta1.AnnotationPayload(this); + if (detailCase_ == 2) { + if (translationBuilder_ == null) { + result.detail_ = detail_; + } else { + result.detail_ = translationBuilder_.build(); + } + } + if (detailCase_ == 3) { + if (classificationBuilder_ == null) { + result.detail_ = detail_; + } else { + result.detail_ = classificationBuilder_.build(); + } + } + if (detailCase_ == 4) { + if (imageObjectDetectionBuilder_ == null) { + result.detail_ = detail_; + } else { + result.detail_ = imageObjectDetectionBuilder_.build(); + } + } + if (detailCase_ == 9) { + if (videoClassificationBuilder_ == null) { + result.detail_ = detail_; + } else { + result.detail_ = videoClassificationBuilder_.build(); + } + } + if (detailCase_ == 8) { + if (videoObjectTrackingBuilder_ == null) { + result.detail_ = detail_; + } else { + result.detail_ = videoObjectTrackingBuilder_.build(); + } + } + if (detailCase_ == 6) { + if (textExtractionBuilder_ == null) { + result.detail_ = detail_; + } else { + result.detail_ = textExtractionBuilder_.build(); + } + } + if (detailCase_ == 7) { + if (textSentimentBuilder_ == null) { + result.detail_ = detail_; + } else { + result.detail_ = textSentimentBuilder_.build(); + } + } + if (detailCase_ == 10) { + if (tablesBuilder_ == null) { + result.detail_ = detail_; + } else { + result.detail_ = tablesBuilder_.build(); + } + } + result.annotationSpecId_ = annotationSpecId_; + result.displayName_ = displayName_; + result.detailCase_ = detailCase_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.AnnotationPayload) { + return mergeFrom((com.google.cloud.automl.v1beta1.AnnotationPayload) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.AnnotationPayload other) { + if (other == com.google.cloud.automl.v1beta1.AnnotationPayload.getDefaultInstance()) + return this; + if (!other.getAnnotationSpecId().isEmpty()) { + annotationSpecId_ = other.annotationSpecId_; + onChanged(); + } + if (!other.getDisplayName().isEmpty()) { + displayName_ = other.displayName_; + onChanged(); + } + switch (other.getDetailCase()) { + case TRANSLATION: + { + mergeTranslation(other.getTranslation()); + break; + } + case CLASSIFICATION: + { + mergeClassification(other.getClassification()); + break; + } + case IMAGE_OBJECT_DETECTION: + { + mergeImageObjectDetection(other.getImageObjectDetection()); + break; + } + case VIDEO_CLASSIFICATION: + { + mergeVideoClassification(other.getVideoClassification()); + break; + } + case VIDEO_OBJECT_TRACKING: + { + mergeVideoObjectTracking(other.getVideoObjectTracking()); + break; + } + case TEXT_EXTRACTION: + { + mergeTextExtraction(other.getTextExtraction()); + break; + } + case TEXT_SENTIMENT: + { + mergeTextSentiment(other.getTextSentiment()); + break; + } + case TABLES: + { + mergeTables(other.getTables()); + break; + } + case DETAIL_NOT_SET: + { + break; + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.AnnotationPayload parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.AnnotationPayload) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int detailCase_ = 0; + private java.lang.Object detail_; + + public DetailCase getDetailCase() { + return DetailCase.forNumber(detailCase_); + } + + public Builder clearDetail() { + detailCase_ = 0; + detail_ = null; + onChanged(); + return this; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TranslationAnnotation, + com.google.cloud.automl.v1beta1.TranslationAnnotation.Builder, + com.google.cloud.automl.v1beta1.TranslationAnnotationOrBuilder> + translationBuilder_; + /** + * + * + * 
+     * Annotation details for translation.
+     *
+ * + * .google.cloud.automl.v1beta1.TranslationAnnotation translation = 2; + * + * @return Whether the translation field is set. + */ + public boolean hasTranslation() { + return detailCase_ == 2; + } + /** + * + * + * 
+     * Annotation details for translation.
+     *
+ * + * .google.cloud.automl.v1beta1.TranslationAnnotation translation = 2; + * + * @return The translation. + */ + public com.google.cloud.automl.v1beta1.TranslationAnnotation getTranslation() { + if (translationBuilder_ == null) { + if (detailCase_ == 2) { + return (com.google.cloud.automl.v1beta1.TranslationAnnotation) detail_; + } + return com.google.cloud.automl.v1beta1.TranslationAnnotation.getDefaultInstance(); + } else { + if (detailCase_ == 2) { + return translationBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.TranslationAnnotation.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Annotation details for translation.
+     *
+ * + * .google.cloud.automl.v1beta1.TranslationAnnotation translation = 2; + */ + public Builder setTranslation(com.google.cloud.automl.v1beta1.TranslationAnnotation value) { + if (translationBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + detail_ = value; + onChanged(); + } else { + translationBuilder_.setMessage(value); + } + detailCase_ = 2; + return this; + } + /** + * + * + * 
+     * Annotation details for translation.
+     *
+ * + * .google.cloud.automl.v1beta1.TranslationAnnotation translation = 2; + */ + public Builder setTranslation( + com.google.cloud.automl.v1beta1.TranslationAnnotation.Builder builderForValue) { + if (translationBuilder_ == null) { + detail_ = builderForValue.build(); + onChanged(); + } else { + translationBuilder_.setMessage(builderForValue.build()); + } + detailCase_ = 2; + return this; + } + /** + * + * + * 
+     * Annotation details for translation.
+     *
+ * + * .google.cloud.automl.v1beta1.TranslationAnnotation translation = 2; + */ + public Builder mergeTranslation(com.google.cloud.automl.v1beta1.TranslationAnnotation value) { + if (translationBuilder_ == null) { + if (detailCase_ == 2 + && detail_ + != com.google.cloud.automl.v1beta1.TranslationAnnotation.getDefaultInstance()) { + detail_ = + com.google.cloud.automl.v1beta1.TranslationAnnotation.newBuilder( + (com.google.cloud.automl.v1beta1.TranslationAnnotation) detail_) + .mergeFrom(value) + .buildPartial(); + } else { + detail_ = value; + } + onChanged(); + } else { + if (detailCase_ == 2) { + translationBuilder_.mergeFrom(value); + } + translationBuilder_.setMessage(value); + } + detailCase_ = 2; + return this; + } + /** + * + * + * 
+     * Annotation details for translation.
+     *
+ * + * .google.cloud.automl.v1beta1.TranslationAnnotation translation = 2; + */ + public Builder clearTranslation() { + if (translationBuilder_ == null) { + if (detailCase_ == 2) { + detailCase_ = 0; + detail_ = null; + onChanged(); + } + } else { + if (detailCase_ == 2) { + detailCase_ = 0; + detail_ = null; + } + translationBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Annotation details for translation.
+     *
+ * + * .google.cloud.automl.v1beta1.TranslationAnnotation translation = 2; + */ + public com.google.cloud.automl.v1beta1.TranslationAnnotation.Builder getTranslationBuilder() { + return getTranslationFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Annotation details for translation.
+     *
+ * + * .google.cloud.automl.v1beta1.TranslationAnnotation translation = 2; + */ + public com.google.cloud.automl.v1beta1.TranslationAnnotationOrBuilder + getTranslationOrBuilder() { + if ((detailCase_ == 2) && (translationBuilder_ != null)) { + return translationBuilder_.getMessageOrBuilder(); + } else { + if (detailCase_ == 2) { + return (com.google.cloud.automl.v1beta1.TranslationAnnotation) detail_; + } + return com.google.cloud.automl.v1beta1.TranslationAnnotation.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Annotation details for translation.
+     *
+ * + * .google.cloud.automl.v1beta1.TranslationAnnotation translation = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TranslationAnnotation, + com.google.cloud.automl.v1beta1.TranslationAnnotation.Builder, + com.google.cloud.automl.v1beta1.TranslationAnnotationOrBuilder> + getTranslationFieldBuilder() { + if (translationBuilder_ == null) { + if (!(detailCase_ == 2)) { + detail_ = com.google.cloud.automl.v1beta1.TranslationAnnotation.getDefaultInstance(); + } + translationBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TranslationAnnotation, + com.google.cloud.automl.v1beta1.TranslationAnnotation.Builder, + com.google.cloud.automl.v1beta1.TranslationAnnotationOrBuilder>( + (com.google.cloud.automl.v1beta1.TranslationAnnotation) detail_, + getParentForChildren(), + isClean()); + detail_ = null; + } + detailCase_ = 2; + onChanged(); + ; + return translationBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation.Builder, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotationOrBuilder> + classificationBuilder_; + /** + * + * + * 
+     * Annotation details for content or image classification.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification = 3; + * + * @return Whether the classification field is set. + */ + public boolean hasClassification() { + return detailCase_ == 3; + } + /** + * + * + * 
+     * Annotation details for content or image classification.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification = 3; + * + * @return The classification. + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + getClassification() { + if (classificationBuilder_ == null) { + if (detailCase_ == 3) { + return (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation) + detail_; + } + return com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + .getDefaultInstance(); + } else { + if (detailCase_ == 3) { + return classificationBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Annotation details for content or image classification.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification = 3; + */ + public Builder setClassification( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation value) { + if (classificationBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + detail_ = value; + onChanged(); + } else { + classificationBuilder_.setMessage(value); + } + detailCase_ = 3; + return this; + } + /** + * + * + * 
+     * Annotation details for content or image classification.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification = 3; + */ + public Builder setClassification( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation.Builder + builderForValue) { + if (classificationBuilder_ == null) { + detail_ = builderForValue.build(); + onChanged(); + } else { + classificationBuilder_.setMessage(builderForValue.build()); + } + detailCase_ = 3; + return this; + } + /** + * + * + * 
+     * Annotation details for content or image classification.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification = 3; + */ + public Builder mergeClassification( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation value) { + if (classificationBuilder_ == null) { + if (detailCase_ == 3 + && detail_ + != com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + .getDefaultInstance()) { + detail_ = + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + .newBuilder( + (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation) + detail_) + .mergeFrom(value) + .buildPartial(); + } else { + detail_ = value; + } + onChanged(); + } else { + if (detailCase_ == 3) { + classificationBuilder_.mergeFrom(value); + } + classificationBuilder_.setMessage(value); + } + detailCase_ = 3; + return this; + } + /** + * + * + * 
+     * Annotation details for content or image classification.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification = 3; + */ + public Builder clearClassification() { + if (classificationBuilder_ == null) { + if (detailCase_ == 3) { + detailCase_ = 0; + detail_ = null; + onChanged(); + } + } else { + if (detailCase_ == 3) { + detailCase_ = 0; + detail_ = null; + } + classificationBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Annotation details for content or image classification.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification = 3; + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation.Builder + getClassificationBuilder() { + return getClassificationFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Annotation details for content or image classification.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification = 3; + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotationOrBuilder + getClassificationOrBuilder() { + if ((detailCase_ == 3) && (classificationBuilder_ != null)) { + return classificationBuilder_.getMessageOrBuilder(); + } else { + if (detailCase_ == 3) { + return (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation) + detail_; + } + return com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Annotation details for content or image classification.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification = 3; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation.Builder, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotationOrBuilder> + getClassificationFieldBuilder() { + if (classificationBuilder_ == null) { + if (!(detailCase_ == 3)) { + detail_ = + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + .getDefaultInstance(); + } + classificationBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + .Builder, + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationAnnotationOrBuilder>( + (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation) + detail_, + getParentForChildren(), + isClean()); + detail_ = null; + } + detailCase_ = 3; + onChanged(); + ; + return classificationBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation, + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.Builder, + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotationOrBuilder> + imageObjectDetectionBuilder_; + /** + * + * + * 
+     * Annotation details for image object detection.
+     *
+ * + * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4; + * + * + * @return Whether the imageObjectDetection field is set. + */ + public boolean hasImageObjectDetection() { + return detailCase_ == 4; + } + /** + * + * + * 
+     * Annotation details for image object detection.
+     *
+ * + * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4; + * + * + * @return The imageObjectDetection. + */ + public com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation + getImageObjectDetection() { + if (imageObjectDetectionBuilder_ == null) { + if (detailCase_ == 4) { + return (com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) detail_; + } + return com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.getDefaultInstance(); + } else { + if (detailCase_ == 4) { + return imageObjectDetectionBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Annotation details for image object detection.
+     *
+ * + * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4; + * + */ + public Builder setImageObjectDetection( + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation value) { + if (imageObjectDetectionBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + detail_ = value; + onChanged(); + } else { + imageObjectDetectionBuilder_.setMessage(value); + } + detailCase_ = 4; + return this; + } + /** + * + * + * 
+     * Annotation details for image object detection.
+     *
+ * + * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4; + * + */ + public Builder setImageObjectDetection( + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.Builder builderForValue) { + if (imageObjectDetectionBuilder_ == null) { + detail_ = builderForValue.build(); + onChanged(); + } else { + imageObjectDetectionBuilder_.setMessage(builderForValue.build()); + } + detailCase_ = 4; + return this; + } + /** + * + * + * 
+     * Annotation details for image object detection.
+     *
+ * + * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4; + * + */ + public Builder mergeImageObjectDetection( + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation value) { + if (imageObjectDetectionBuilder_ == null) { + if (detailCase_ == 4 + && detail_ + != com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation + .getDefaultInstance()) { + detail_ = + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.newBuilder( + (com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) detail_) + .mergeFrom(value) + .buildPartial(); + } else { + detail_ = value; + } + onChanged(); + } else { + if (detailCase_ == 4) { + imageObjectDetectionBuilder_.mergeFrom(value); + } + imageObjectDetectionBuilder_.setMessage(value); + } + detailCase_ = 4; + return this; + } + /** + * + * + * 
+     * Annotation details for image object detection.
+     *
+ * + * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4; + * + */ + public Builder clearImageObjectDetection() { + if (imageObjectDetectionBuilder_ == null) { + if (detailCase_ == 4) { + detailCase_ = 0; + detail_ = null; + onChanged(); + } + } else { + if (detailCase_ == 4) { + detailCase_ = 0; + detail_ = null; + } + imageObjectDetectionBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Annotation details for image object detection.
+     *
+ * + * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4; + * + */ + public com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.Builder + getImageObjectDetectionBuilder() { + return getImageObjectDetectionFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Annotation details for image object detection.
+     *
+ * + * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4; + * + */ + public com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotationOrBuilder + getImageObjectDetectionOrBuilder() { + if ((detailCase_ == 4) && (imageObjectDetectionBuilder_ != null)) { + return imageObjectDetectionBuilder_.getMessageOrBuilder(); + } else { + if (detailCase_ == 4) { + return (com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) detail_; + } + return com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Annotation details for image object detection.
+     *
+ * + * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation, + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.Builder, + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotationOrBuilder> + getImageObjectDetectionFieldBuilder() { + if (imageObjectDetectionBuilder_ == null) { + if (!(detailCase_ == 4)) { + detail_ = + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.getDefaultInstance(); + } + imageObjectDetectionBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation, + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.Builder, + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotationOrBuilder>( + (com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) detail_, + getParentForChildren(), + isClean()); + detail_ = null; + } + detailCase_ = 4; + onChanged(); + ; + return imageObjectDetectionBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation, + com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + .Builder, + com.google.cloud.automl.v1beta1.ClassificationProto + .VideoClassificationAnnotationOrBuilder> + videoClassificationBuilder_; + /** + * + * + * 
+     * Annotation details for video classification.
+     * Returned for Video Classification predictions.
+     *
+ * + * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9; + * + * + * @return Whether the videoClassification field is set. + */ + public boolean hasVideoClassification() { + return detailCase_ == 9; + } + /** + * + * + * 
+     * Annotation details for video classification.
+     * Returned for Video Classification predictions.
+     *
+ * + * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9; + * + * + * @return The videoClassification. + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + getVideoClassification() { + if (videoClassificationBuilder_ == null) { + if (detailCase_ == 9) { + return (com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation) + detail_; + } + return com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + .getDefaultInstance(); + } else { + if (detailCase_ == 9) { + return videoClassificationBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Annotation details for video classification.
+     * Returned for Video Classification predictions.
+     *
+ * + * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9; + * + */ + public Builder setVideoClassification( + com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation value) { + if (videoClassificationBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + detail_ = value; + onChanged(); + } else { + videoClassificationBuilder_.setMessage(value); + } + detailCase_ = 9; + return this; + } + /** + * + * + * 
+     * Annotation details for video classification.
+     * Returned for Video Classification predictions.
+     *
+ * + * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9; + * + */ + public Builder setVideoClassification( + com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation.Builder + builderForValue) { + if (videoClassificationBuilder_ == null) { + detail_ = builderForValue.build(); + onChanged(); + } else { + videoClassificationBuilder_.setMessage(builderForValue.build()); + } + detailCase_ = 9; + return this; + } + /** + * + * + * 
+     * Annotation details for video classification.
+     * Returned for Video Classification predictions.
+     *
+ * + * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9; + * + */ + public Builder mergeVideoClassification( + com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation value) { + if (videoClassificationBuilder_ == null) { + if (detailCase_ == 9 + && detail_ + != com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + .getDefaultInstance()) { + detail_ = + com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + .newBuilder( + (com.google.cloud.automl.v1beta1.ClassificationProto + .VideoClassificationAnnotation) + detail_) + .mergeFrom(value) + .buildPartial(); + } else { + detail_ = value; + } + onChanged(); + } else { + if (detailCase_ == 9) { + videoClassificationBuilder_.mergeFrom(value); + } + videoClassificationBuilder_.setMessage(value); + } + detailCase_ = 9; + return this; + } + /** + * + * + * 
+     * Annotation details for video classification.
+     * Returned for Video Classification predictions.
+     *
+ * + * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9; + * + */ + public Builder clearVideoClassification() { + if (videoClassificationBuilder_ == null) { + if (detailCase_ == 9) { + detailCase_ = 0; + detail_ = null; + onChanged(); + } + } else { + if (detailCase_ == 9) { + detailCase_ = 0; + detail_ = null; + } + videoClassificationBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Annotation details for video classification.
+     * Returned for Video Classification predictions.
+     *
+ * + * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation.Builder + getVideoClassificationBuilder() { + return getVideoClassificationFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Annotation details for video classification.
+     * Returned for Video Classification predictions.
+     *
+ * + * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto + .VideoClassificationAnnotationOrBuilder + getVideoClassificationOrBuilder() { + if ((detailCase_ == 9) && (videoClassificationBuilder_ != null)) { + return videoClassificationBuilder_.getMessageOrBuilder(); + } else { + if (detailCase_ == 9) { + return (com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation) + detail_; + } + return com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Annotation details for video classification.
+     * Returned for Video Classification predictions.
+     *
+ * + * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation, + com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + .Builder, + com.google.cloud.automl.v1beta1.ClassificationProto + .VideoClassificationAnnotationOrBuilder> + getVideoClassificationFieldBuilder() { + if (videoClassificationBuilder_ == null) { + if (!(detailCase_ == 9)) { + detail_ = + com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + .getDefaultInstance(); + } + videoClassificationBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation, + com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + .Builder, + com.google.cloud.automl.v1beta1.ClassificationProto + .VideoClassificationAnnotationOrBuilder>( + (com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation) + detail_, + getParentForChildren(), + isClean()); + detail_ = null; + } + detailCase_ = 9; + onChanged(); + ; + return videoClassificationBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation, + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation.Builder, + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotationOrBuilder> + videoObjectTrackingBuilder_; + /** + * + * + * 
+     * Annotation details for video object tracking.
+     *
+ * + * .google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation video_object_tracking = 8; + * + * + * @return Whether the videoObjectTracking field is set. + */ + public boolean hasVideoObjectTracking() { + return detailCase_ == 8; + } + /** + * + * + * 
+     * Annotation details for video object tracking.
+     *
+ * + * .google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation video_object_tracking = 8; + * + * + * @return The videoObjectTracking. + */ + public com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation getVideoObjectTracking() { + if (videoObjectTrackingBuilder_ == null) { + if (detailCase_ == 8) { + return (com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation) detail_; + } + return com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation.getDefaultInstance(); + } else { + if (detailCase_ == 8) { + return videoObjectTrackingBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Annotation details for video object tracking.
+     *
+ * + * .google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation video_object_tracking = 8; + * + */ + public Builder setVideoObjectTracking( + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation value) { + if (videoObjectTrackingBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + detail_ = value; + onChanged(); + } else { + videoObjectTrackingBuilder_.setMessage(value); + } + detailCase_ = 8; + return this; + } + /** + * + * + * 
+     * Annotation details for video object tracking.
+     *
+ * + * .google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation video_object_tracking = 8; + * + */ + public Builder setVideoObjectTracking( + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation.Builder builderForValue) { + if (videoObjectTrackingBuilder_ == null) { + detail_ = builderForValue.build(); + onChanged(); + } else { + videoObjectTrackingBuilder_.setMessage(builderForValue.build()); + } + detailCase_ = 8; + return this; + } + /** + * + * + * 
+     * Annotation details for video object tracking.
+     *
+ * + * .google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation video_object_tracking = 8; + * + */ + public Builder mergeVideoObjectTracking( + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation value) { + if (videoObjectTrackingBuilder_ == null) { + if (detailCase_ == 8 + && detail_ + != com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation + .getDefaultInstance()) { + detail_ = + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation.newBuilder( + (com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation) detail_) + .mergeFrom(value) + .buildPartial(); + } else { + detail_ = value; + } + onChanged(); + } else { + if (detailCase_ == 8) { + videoObjectTrackingBuilder_.mergeFrom(value); + } + videoObjectTrackingBuilder_.setMessage(value); + } + detailCase_ = 8; + return this; + } + /** + * + * + * 
+     * Annotation details for video object tracking.
+     *
+ * + * .google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation video_object_tracking = 8; + * + */ + public Builder clearVideoObjectTracking() { + if (videoObjectTrackingBuilder_ == null) { + if (detailCase_ == 8) { + detailCase_ = 0; + detail_ = null; + onChanged(); + } + } else { + if (detailCase_ == 8) { + detailCase_ = 0; + detail_ = null; + } + videoObjectTrackingBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Annotation details for video object tracking.
+     *
+ * + * .google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation video_object_tracking = 8; + * + */ + public com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation.Builder + getVideoObjectTrackingBuilder() { + return getVideoObjectTrackingFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Annotation details for video object tracking.
+     *
+ * + * .google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation video_object_tracking = 8; + * + */ + public com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotationOrBuilder + getVideoObjectTrackingOrBuilder() { + if ((detailCase_ == 8) && (videoObjectTrackingBuilder_ != null)) { + return videoObjectTrackingBuilder_.getMessageOrBuilder(); + } else { + if (detailCase_ == 8) { + return (com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation) detail_; + } + return com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Annotation details for video object tracking.
+     *
+ * + * .google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation video_object_tracking = 8; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation, + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation.Builder, + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotationOrBuilder> + getVideoObjectTrackingFieldBuilder() { + if (videoObjectTrackingBuilder_ == null) { + if (!(detailCase_ == 8)) { + detail_ = + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation.getDefaultInstance(); + } + videoObjectTrackingBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation, + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation.Builder, + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotationOrBuilder>( + (com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation) detail_, + getParentForChildren(), + isClean()); + detail_ = null; + } + detailCase_ = 8; + onChanged(); + ; + return videoObjectTrackingBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextExtractionAnnotation, + com.google.cloud.automl.v1beta1.TextExtractionAnnotation.Builder, + com.google.cloud.automl.v1beta1.TextExtractionAnnotationOrBuilder> + textExtractionBuilder_; + /** + * + * + * 
+     * Annotation details for text extraction.
+     *
+ * + * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6; + * + * @return Whether the textExtraction field is set. + */ + public boolean hasTextExtraction() { + return detailCase_ == 6; + } + /** + * + * + * 
+     * Annotation details for text extraction.
+     *
+ * + * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6; + * + * @return The textExtraction. + */ + public com.google.cloud.automl.v1beta1.TextExtractionAnnotation getTextExtraction() { + if (textExtractionBuilder_ == null) { + if (detailCase_ == 6) { + return (com.google.cloud.automl.v1beta1.TextExtractionAnnotation) detail_; + } + return com.google.cloud.automl.v1beta1.TextExtractionAnnotation.getDefaultInstance(); + } else { + if (detailCase_ == 6) { + return textExtractionBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.TextExtractionAnnotation.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Annotation details for text extraction.
+     *
+ * + * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6; + */ + public Builder setTextExtraction( + com.google.cloud.automl.v1beta1.TextExtractionAnnotation value) { + if (textExtractionBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + detail_ = value; + onChanged(); + } else { + textExtractionBuilder_.setMessage(value); + } + detailCase_ = 6; + return this; + } + /** + * + * + * 
+     * Annotation details for text extraction.
+     *
+ * + * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6; + */ + public Builder setTextExtraction( + com.google.cloud.automl.v1beta1.TextExtractionAnnotation.Builder builderForValue) { + if (textExtractionBuilder_ == null) { + detail_ = builderForValue.build(); + onChanged(); + } else { + textExtractionBuilder_.setMessage(builderForValue.build()); + } + detailCase_ = 6; + return this; + } + /** + * + * + * 
+     * Annotation details for text extraction.
+     *
+ * + * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6; + */ + public Builder mergeTextExtraction( + com.google.cloud.automl.v1beta1.TextExtractionAnnotation value) { + if (textExtractionBuilder_ == null) { + if (detailCase_ == 6 + && detail_ + != com.google.cloud.automl.v1beta1.TextExtractionAnnotation.getDefaultInstance()) { + detail_ = + com.google.cloud.automl.v1beta1.TextExtractionAnnotation.newBuilder( + (com.google.cloud.automl.v1beta1.TextExtractionAnnotation) detail_) + .mergeFrom(value) + .buildPartial(); + } else { + detail_ = value; + } + onChanged(); + } else { + if (detailCase_ == 6) { + textExtractionBuilder_.mergeFrom(value); + } + textExtractionBuilder_.setMessage(value); + } + detailCase_ = 6; + return this; + } + /** + * + * + * 
+     * Annotation details for text extraction.
+     *
+ * + * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6; + */ + public Builder clearTextExtraction() { + if (textExtractionBuilder_ == null) { + if (detailCase_ == 6) { + detailCase_ = 0; + detail_ = null; + onChanged(); + } + } else { + if (detailCase_ == 6) { + detailCase_ = 0; + detail_ = null; + } + textExtractionBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Annotation details for text extraction.
+     *
+ * + * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6; + */ + public com.google.cloud.automl.v1beta1.TextExtractionAnnotation.Builder + getTextExtractionBuilder() { + return getTextExtractionFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Annotation details for text extraction.
+     *
+ * + * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6; + */ + public com.google.cloud.automl.v1beta1.TextExtractionAnnotationOrBuilder + getTextExtractionOrBuilder() { + if ((detailCase_ == 6) && (textExtractionBuilder_ != null)) { + return textExtractionBuilder_.getMessageOrBuilder(); + } else { + if (detailCase_ == 6) { + return (com.google.cloud.automl.v1beta1.TextExtractionAnnotation) detail_; + } + return com.google.cloud.automl.v1beta1.TextExtractionAnnotation.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Annotation details for text extraction.
+     *
+ * + * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextExtractionAnnotation, + com.google.cloud.automl.v1beta1.TextExtractionAnnotation.Builder, + com.google.cloud.automl.v1beta1.TextExtractionAnnotationOrBuilder> + getTextExtractionFieldBuilder() { + if (textExtractionBuilder_ == null) { + if (!(detailCase_ == 6)) { + detail_ = com.google.cloud.automl.v1beta1.TextExtractionAnnotation.getDefaultInstance(); + } + textExtractionBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextExtractionAnnotation, + com.google.cloud.automl.v1beta1.TextExtractionAnnotation.Builder, + com.google.cloud.automl.v1beta1.TextExtractionAnnotationOrBuilder>( + (com.google.cloud.automl.v1beta1.TextExtractionAnnotation) detail_, + getParentForChildren(), + isClean()); + detail_ = null; + } + detailCase_ = 6; + onChanged(); + ; + return textExtractionBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation, + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.Builder, + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotationOrBuilder> + textSentimentBuilder_; + /** + * + * + * 
+     * Annotation details for text sentiment.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7; + * + * @return Whether the textSentiment field is set. + */ + public boolean hasTextSentiment() { + return detailCase_ == 7; + } + /** + * + * + * 
+     * Annotation details for text sentiment.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7; + * + * @return The textSentiment. + */ + public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + getTextSentiment() { + if (textSentimentBuilder_ == null) { + if (detailCase_ == 7) { + return (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation) + detail_; + } + return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + .getDefaultInstance(); + } else { + if (detailCase_ == 7) { + return textSentimentBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Annotation details for text sentiment.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7; + */ + public Builder setTextSentiment( + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation value) { + if (textSentimentBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + detail_ = value; + onChanged(); + } else { + textSentimentBuilder_.setMessage(value); + } + detailCase_ = 7; + return this; + } + /** + * + * + * 
+     * Annotation details for text sentiment.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7; + */ + public Builder setTextSentiment( + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.Builder + builderForValue) { + if (textSentimentBuilder_ == null) { + detail_ = builderForValue.build(); + onChanged(); + } else { + textSentimentBuilder_.setMessage(builderForValue.build()); + } + detailCase_ = 7; + return this; + } + /** + * + * + * 
+     * Annotation details for text sentiment.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7; + */ + public Builder mergeTextSentiment( + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation value) { + if (textSentimentBuilder_ == null) { + if (detailCase_ == 7 + && detail_ + != com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + .getDefaultInstance()) { + detail_ = + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.newBuilder( + (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation) + detail_) + .mergeFrom(value) + .buildPartial(); + } else { + detail_ = value; + } + onChanged(); + } else { + if (detailCase_ == 7) { + textSentimentBuilder_.mergeFrom(value); + } + textSentimentBuilder_.setMessage(value); + } + detailCase_ = 7; + return this; + } + /** + * + * + * 
+     * Annotation details for text sentiment.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7; + */ + public Builder clearTextSentiment() { + if (textSentimentBuilder_ == null) { + if (detailCase_ == 7) { + detailCase_ = 0; + detail_ = null; + onChanged(); + } + } else { + if (detailCase_ == 7) { + detailCase_ = 0; + detail_ = null; + } + textSentimentBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Annotation details for text sentiment.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7; + */ + public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.Builder + getTextSentimentBuilder() { + return getTextSentimentFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Annotation details for text sentiment.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7; + */ + public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotationOrBuilder + getTextSentimentOrBuilder() { + if ((detailCase_ == 7) && (textSentimentBuilder_ != null)) { + return textSentimentBuilder_.getMessageOrBuilder(); + } else { + if (detailCase_ == 7) { + return (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation) + detail_; + } + return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Annotation details for text sentiment.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation, + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.Builder, + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotationOrBuilder> + getTextSentimentFieldBuilder() { + if (textSentimentBuilder_ == null) { + if (!(detailCase_ == 7)) { + detail_ = + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + .getDefaultInstance(); + } + textSentimentBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation, + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.Builder, + com.google.cloud.automl.v1beta1.TextSentimentProto + .TextSentimentAnnotationOrBuilder>( + (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation) + detail_, + getParentForChildren(), + isClean()); + detail_ = null; + } + detailCase_ = 7; + onChanged(); + ; + return textSentimentBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TablesAnnotation, + com.google.cloud.automl.v1beta1.TablesAnnotation.Builder, + com.google.cloud.automl.v1beta1.TablesAnnotationOrBuilder> + tablesBuilder_; + /** + * + * + * 
+     * Annotation details for Tables.
+     *
+ * + * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10; + * + * @return Whether the tables field is set. + */ + public boolean hasTables() { + return detailCase_ == 10; + } + /** + * + * + * 
+     * Annotation details for Tables.
+     *
+ * + * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10; + * + * @return The tables. + */ + public com.google.cloud.automl.v1beta1.TablesAnnotation getTables() { + if (tablesBuilder_ == null) { + if (detailCase_ == 10) { + return (com.google.cloud.automl.v1beta1.TablesAnnotation) detail_; + } + return com.google.cloud.automl.v1beta1.TablesAnnotation.getDefaultInstance(); + } else { + if (detailCase_ == 10) { + return tablesBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.TablesAnnotation.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Annotation details for Tables.
+     *
+ * + * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10; + */ + public Builder setTables(com.google.cloud.automl.v1beta1.TablesAnnotation value) { + if (tablesBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + detail_ = value; + onChanged(); + } else { + tablesBuilder_.setMessage(value); + } + detailCase_ = 10; + return this; + } + /** + * + * + * 
+     * Annotation details for Tables.
+     *
+ * + * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10; + */ + public Builder setTables( + com.google.cloud.automl.v1beta1.TablesAnnotation.Builder builderForValue) { + if (tablesBuilder_ == null) { + detail_ = builderForValue.build(); + onChanged(); + } else { + tablesBuilder_.setMessage(builderForValue.build()); + } + detailCase_ = 10; + return this; + } + /** + * + * + * 
+     * Annotation details for Tables.
+     *
+ * + * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10; + */ + public Builder mergeTables(com.google.cloud.automl.v1beta1.TablesAnnotation value) { + if (tablesBuilder_ == null) { + if (detailCase_ == 10 + && detail_ != com.google.cloud.automl.v1beta1.TablesAnnotation.getDefaultInstance()) { + detail_ = + com.google.cloud.automl.v1beta1.TablesAnnotation.newBuilder( + (com.google.cloud.automl.v1beta1.TablesAnnotation) detail_) + .mergeFrom(value) + .buildPartial(); + } else { + detail_ = value; + } + onChanged(); + } else { + if (detailCase_ == 10) { + tablesBuilder_.mergeFrom(value); + } + tablesBuilder_.setMessage(value); + } + detailCase_ = 10; + return this; + } + /** + * + * + * 
+     * Annotation details for Tables.
+     *
+ * + * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10; + */ + public Builder clearTables() { + if (tablesBuilder_ == null) { + if (detailCase_ == 10) { + detailCase_ = 0; + detail_ = null; + onChanged(); + } + } else { + if (detailCase_ == 10) { + detailCase_ = 0; + detail_ = null; + } + tablesBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Annotation details for Tables.
+     *
+ * + * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10; + */ + public com.google.cloud.automl.v1beta1.TablesAnnotation.Builder getTablesBuilder() { + return getTablesFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Annotation details for Tables.
+     *
+ * + * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10; + */ + public com.google.cloud.automl.v1beta1.TablesAnnotationOrBuilder getTablesOrBuilder() { + if ((detailCase_ == 10) && (tablesBuilder_ != null)) { + return tablesBuilder_.getMessageOrBuilder(); + } else { + if (detailCase_ == 10) { + return (com.google.cloud.automl.v1beta1.TablesAnnotation) detail_; + } + return com.google.cloud.automl.v1beta1.TablesAnnotation.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Annotation details for Tables.
+     *
+ * + * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TablesAnnotation, + com.google.cloud.automl.v1beta1.TablesAnnotation.Builder, + com.google.cloud.automl.v1beta1.TablesAnnotationOrBuilder> + getTablesFieldBuilder() { + if (tablesBuilder_ == null) { + if (!(detailCase_ == 10)) { + detail_ = com.google.cloud.automl.v1beta1.TablesAnnotation.getDefaultInstance(); + } + tablesBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TablesAnnotation, + com.google.cloud.automl.v1beta1.TablesAnnotation.Builder, + com.google.cloud.automl.v1beta1.TablesAnnotationOrBuilder>( + (com.google.cloud.automl.v1beta1.TablesAnnotation) detail_, + getParentForChildren(), + isClean()); + detail_ = null; + } + detailCase_ = 10; + onChanged(); + ; + return tablesBuilder_; + } + + private java.lang.Object annotationSpecId_ = ""; + /** + * + * + * 
+     * Output only . The resource ID of the annotation spec that
+     * this annotation pertains to. The annotation spec comes from either an
+     * ancestor dataset, or the dataset that was used to train the model in use.
+     *
+ * + * string annotation_spec_id = 1; + * + * @return The annotationSpecId. + */ + public java.lang.String getAnnotationSpecId() { + java.lang.Object ref = annotationSpecId_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + annotationSpecId_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Output only . The resource ID of the annotation spec that
+     * this annotation pertains to. The annotation spec comes from either an
+     * ancestor dataset, or the dataset that was used to train the model in use.
+     *
+ * + * string annotation_spec_id = 1; + * + * @return The bytes for annotationSpecId. + */ + public com.google.protobuf.ByteString getAnnotationSpecIdBytes() { + java.lang.Object ref = annotationSpecId_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + annotationSpecId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Output only . The resource ID of the annotation spec that
+     * this annotation pertains to. The annotation spec comes from either an
+     * ancestor dataset, or the dataset that was used to train the model in use.
+     *
+ * + * string annotation_spec_id = 1; + * + * @param value The annotationSpecId to set. + * @return This builder for chaining. + */ + public Builder setAnnotationSpecId(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + annotationSpecId_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only . The resource ID of the annotation spec that
+     * this annotation pertains to. The annotation spec comes from either an
+     * ancestor dataset, or the dataset that was used to train the model in use.
+     *
+ * + * string annotation_spec_id = 1; + * + * @return This builder for chaining. + */ + public Builder clearAnnotationSpecId() { + + annotationSpecId_ = getDefaultInstance().getAnnotationSpecId(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only . The resource ID of the annotation spec that
+     * this annotation pertains to. The annotation spec comes from either an
+     * ancestor dataset, or the dataset that was used to train the model in use.
+     *
+ * + * string annotation_spec_id = 1; + * + * @param value The bytes for annotationSpecId to set. + * @return This builder for chaining. + */ + public Builder setAnnotationSpecIdBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + annotationSpecId_ = value; + onChanged(); + return this; + } + + private java.lang.Object displayName_ = ""; + /** + * + * + * 
+     * Output only. The value of
+     * [display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name]
+     * when the model was trained. Because this field returns a value at model
+     * training time, for different models trained using the same dataset, the
+     * returned value could be different as model owner could update the
+     * `display_name` between any two model training.
+     *
+ * + * string display_name = 5; + * + * @return The displayName. + */ + public java.lang.String getDisplayName() { + java.lang.Object ref = displayName_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + displayName_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Output only. The value of
+     * [display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name]
+     * when the model was trained. Because this field returns a value at model
+     * training time, for different models trained using the same dataset, the
+     * returned value could be different as model owner could update the
+     * `display_name` between any two model training.
+     *
+ * + * string display_name = 5; + * + * @return The bytes for displayName. + */ + public com.google.protobuf.ByteString getDisplayNameBytes() { + java.lang.Object ref = displayName_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + displayName_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Output only. The value of
+     * [display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name]
+     * when the model was trained. Because this field returns a value at model
+     * training time, for different models trained using the same dataset, the
+     * returned value could be different as model owner could update the
+     * `display_name` between any two model training.
+     *
+ * + * string display_name = 5; + * + * @param value The displayName to set. + * @return This builder for chaining. + */ + public Builder setDisplayName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + displayName_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The value of
+     * [display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name]
+     * when the model was trained. Because this field returns a value at model
+     * training time, for different models trained using the same dataset, the
+     * returned value could be different as model owner could update the
+     * `display_name` between any two model training.
+     *
+ * + * string display_name = 5; + * + * @return This builder for chaining. + */ + public Builder clearDisplayName() { + + displayName_ = getDefaultInstance().getDisplayName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The value of
+     * [display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name]
+     * when the model was trained. Because this field returns a value at model
+     * training time, for different models trained using the same dataset, the
+     * returned value could be different as model owner could update the
+     * `display_name` between any two model training.
+     *
+ * + * string display_name = 5; + * + * @param value The bytes for displayName to set. + * @return This builder for chaining. + */ + public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + displayName_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.AnnotationPayload) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.AnnotationPayload) + private static final com.google.cloud.automl.v1beta1.AnnotationPayload DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.AnnotationPayload(); + } + + public static com.google.cloud.automl.v1beta1.AnnotationPayload getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public AnnotationPayload parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new AnnotationPayload(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.AnnotationPayload getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationPayloadOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationPayloadOrBuilder.java new file mode 100644 index 000000000..f22edd3d4 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationPayloadOrBuilder.java @@ -0,0 +1,389 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/annotation_payload.proto + +package com.google.cloud.automl.v1beta1; + +public interface AnnotationPayloadOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.AnnotationPayload) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Annotation details for translation.
+   *
+ * + * .google.cloud.automl.v1beta1.TranslationAnnotation translation = 2; + * + * @return Whether the translation field is set. + */ + boolean hasTranslation(); + /** + * + * + * 
+   * Annotation details for translation.
+   *
+ * + * .google.cloud.automl.v1beta1.TranslationAnnotation translation = 2; + * + * @return The translation. + */ + com.google.cloud.automl.v1beta1.TranslationAnnotation getTranslation(); + /** + * + * + * 
+   * Annotation details for translation.
+   *
+ * + * .google.cloud.automl.v1beta1.TranslationAnnotation translation = 2; + */ + com.google.cloud.automl.v1beta1.TranslationAnnotationOrBuilder getTranslationOrBuilder(); + + /** + * + * + * 
+   * Annotation details for content or image classification.
+   *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification = 3; + * + * @return Whether the classification field is set. + */ + boolean hasClassification(); + /** + * + * + * 
+   * Annotation details for content or image classification.
+   *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification = 3; + * + * @return The classification. + */ + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation getClassification(); + /** + * + * + * 
+   * Annotation details for content or image classification.
+   *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification = 3; + */ + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotationOrBuilder + getClassificationOrBuilder(); + + /** + * + * + * 
+   * Annotation details for image object detection.
+   *
+ * + * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4; + * + * + * @return Whether the imageObjectDetection field is set. + */ + boolean hasImageObjectDetection(); + /** + * + * + * 
+   * Annotation details for image object detection.
+   *
+ * + * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4; + * + * + * @return The imageObjectDetection. + */ + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation getImageObjectDetection(); + /** + * + * + * 
+   * Annotation details for image object detection.
+   *
+ * + * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4; + * + */ + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotationOrBuilder + getImageObjectDetectionOrBuilder(); + + /** + * + * + * 
+   * Annotation details for video classification.
+   * Returned for Video Classification predictions.
+   *
+ * + * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9; + * + * + * @return Whether the videoClassification field is set. + */ + boolean hasVideoClassification(); + /** + * + * + * 
+   * Annotation details for video classification.
+   * Returned for Video Classification predictions.
+   *
+ * + * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9; + * + * + * @return The videoClassification. + */ + com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + getVideoClassification(); + /** + * + * + * 
+   * Annotation details for video classification.
+   * Returned for Video Classification predictions.
+   *
+ * + * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9; + * + */ + com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotationOrBuilder + getVideoClassificationOrBuilder(); + + /** + * + * + * 
+   * Annotation details for video object tracking.
+   *
+ * + * .google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation video_object_tracking = 8; + * + * + * @return Whether the videoObjectTracking field is set. + */ + boolean hasVideoObjectTracking(); + /** + * + * + * 
+   * Annotation details for video object tracking.
+   *
+ * + * .google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation video_object_tracking = 8; + * + * + * @return The videoObjectTracking. + */ + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation getVideoObjectTracking(); + /** + * + * + * 
+   * Annotation details for video object tracking.
+   *
+ * + * .google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation video_object_tracking = 8; + * + */ + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotationOrBuilder + getVideoObjectTrackingOrBuilder(); + + /** + * + * + * 
+   * Annotation details for text extraction.
+   *
+ * + * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6; + * + * @return Whether the textExtraction field is set. + */ + boolean hasTextExtraction(); + /** + * + * + * 
+   * Annotation details for text extraction.
+   *
+ * + * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6; + * + * @return The textExtraction. + */ + com.google.cloud.automl.v1beta1.TextExtractionAnnotation getTextExtraction(); + /** + * + * + * 
+   * Annotation details for text extraction.
+   *
+ * + * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6; + */ + com.google.cloud.automl.v1beta1.TextExtractionAnnotationOrBuilder getTextExtractionOrBuilder(); + + /** + * + * + * 
+   * Annotation details for text sentiment.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7; + * + * @return Whether the textSentiment field is set. + */ + boolean hasTextSentiment(); + /** + * + * + * 
+   * Annotation details for text sentiment.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7; + * + * @return The textSentiment. + */ + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation getTextSentiment(); + /** + * + * + * 
+   * Annotation details for text sentiment.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7; + */ + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotationOrBuilder + getTextSentimentOrBuilder(); + + /** + * + * + * 
+   * Annotation details for Tables.
+   *
+ * + * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10; + * + * @return Whether the tables field is set. + */ + boolean hasTables(); + /** + * + * + * 
+   * Annotation details for Tables.
+   *
+ * + * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10; + * + * @return The tables. + */ + com.google.cloud.automl.v1beta1.TablesAnnotation getTables(); + /** + * + * + * 
+   * Annotation details for Tables.
+   *
+ * + * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10; + */ + com.google.cloud.automl.v1beta1.TablesAnnotationOrBuilder getTablesOrBuilder(); + + /** + * + * + * 
+   * Output only . The resource ID of the annotation spec that
+   * this annotation pertains to. The annotation spec comes from either an
+   * ancestor dataset, or the dataset that was used to train the model in use.
+   *
+ * + * string annotation_spec_id = 1; + * + * @return The annotationSpecId. + */ + java.lang.String getAnnotationSpecId(); + /** + * + * + * 
+   * Output only . The resource ID of the annotation spec that
+   * this annotation pertains to. The annotation spec comes from either an
+   * ancestor dataset, or the dataset that was used to train the model in use.
+   *
+ * + * string annotation_spec_id = 1; + * + * @return The bytes for annotationSpecId. + */ + com.google.protobuf.ByteString getAnnotationSpecIdBytes(); + + /** + * + * + * 
+   * Output only. The value of
+   * [display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name]
+   * when the model was trained. Because this field returns a value at model
+   * training time, for different models trained using the same dataset, the
+   * returned value could be different as model owner could update the
+   * `display_name` between any two model training.
+   *
+ * + * string display_name = 5; + * + * @return The displayName. + */ + java.lang.String getDisplayName(); + /** + * + * + * 
+   * Output only. The value of
+   * [display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name]
+   * when the model was trained. Because this field returns a value at model
+   * training time, for different models trained using the same dataset, the
+   * returned value could be different as model owner could update the
+   * `display_name` between any two model training.
+   *
+ * + * string display_name = 5; + * + * @return The bytes for displayName. + */ + com.google.protobuf.ByteString getDisplayNameBytes(); + + public com.google.cloud.automl.v1beta1.AnnotationPayload.DetailCase getDetailCase(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationPayloadOuterClass.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationPayloadOuterClass.java new file mode 100644 index 000000000..28ba9778c --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationPayloadOuterClass.java @@ -0,0 +1,120 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/annotation_payload.proto + +package com.google.cloud.automl.v1beta1; + +public final class AnnotationPayloadOuterClass { + private AnnotationPayloadOuterClass() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_AnnotationPayload_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_AnnotationPayload_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n4google/cloud/automl/v1beta1/annotation" + + "_payload.proto\022\033google.cloud.automl.v1be" + + "ta1\0320google/cloud/automl/v1beta1/classif" + + "ication.proto\032+google/cloud/automl/v1bet" + + "a1/detection.proto\032(google/cloud/automl/" + + "v1beta1/tables.proto\0321google/cloud/autom" + + "l/v1beta1/text_extraction.proto\0320google/" + + "cloud/automl/v1beta1/text_sentiment.prot" + + "o\032-google/cloud/automl/v1beta1/translati" + + "on.proto\032\031google/protobuf/any.proto\032\034goo" + + "gle/api/annotations.proto\"\346\005\n\021Annotation" + + "Payload\022I\n\013translation\030\002 \001(\01322.google.cl" + + "oud.automl.v1beta1.TranslationAnnotation" + + "H\000\022O\n\016classification\030\003 \001(\01325.google.clou" + + "d.automl.v1beta1.ClassificationAnnotatio" + + "nH\000\022]\n\026image_object_detection\030\004 \001(\0132;.go" + + "ogle.cloud.automl.v1beta1.ImageObjectDet" + + "ectionAnnotationH\000\022Z\n\024video_classificati" + + "on\030\t \001(\0132:.google.cloud.automl.v1beta1.V" + + "ideoClassificationAnnotationH\000\022[\n\025video_" + + "object_tracking\030\010 \001(\0132:.google.cloud.aut" + + "oml.v1beta1.VideoObjectTrackingAnnotatio" + + "nH\000\022P\n\017text_extraction\030\006 \001(\01325.google.cl" + + "oud.automl.v1beta1.TextExtractionAnnotat" + + "ionH\000\022N\n\016text_sentiment\030\007 \001(\01324.google.c" + + "loud.automl.v1beta1.TextSentimentAnnotat" + + "ionH\000\022?\n\006tables\030\n \001(\0132-.google.cloud.aut" + + "oml.v1beta1.TablesAnnotationH\000\022\032\n\022annota" + + "tion_spec_id\030\001 \001(\t\022\024\n\014display_name\030\005 \001(\t" + + "B\010\n\006detailB\245\001\n\037com.google.cloud.automl.v" + + "1beta1P\001ZAgoogle.golang.org/genproto/goo" + + "gleapis/cloud/automl/v1beta1;automl\312\002\033Go" + + "ogle\\Cloud\\AutoMl\\V1beta1\352\002\036Google::Clou" + + "d::AutoML::V1beta1b\006proto3" + }; + descriptor = + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.cloud.automl.v1beta1.ClassificationProto.getDescriptor(), + com.google.cloud.automl.v1beta1.Detection.getDescriptor(), + com.google.cloud.automl.v1beta1.Tables.getDescriptor(), + com.google.cloud.automl.v1beta1.TextExtraction.getDescriptor(), + com.google.cloud.automl.v1beta1.TextSentimentProto.getDescriptor(), + com.google.cloud.automl.v1beta1.TranslationProto.getDescriptor(), + com.google.protobuf.AnyProto.getDescriptor(), + com.google.api.AnnotationsProto.getDescriptor(), + }); + internal_static_google_cloud_automl_v1beta1_AnnotationPayload_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_AnnotationPayload_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_AnnotationPayload_descriptor, + new java.lang.String[] { + "Translation", + "Classification", + "ImageObjectDetection", + "VideoClassification", + "VideoObjectTracking", + "TextExtraction", + "TextSentiment", + "Tables", + "AnnotationSpecId", + "DisplayName", + "Detail", + }); + com.google.cloud.automl.v1beta1.ClassificationProto.getDescriptor(); + com.google.cloud.automl.v1beta1.Detection.getDescriptor(); + com.google.cloud.automl.v1beta1.Tables.getDescriptor(); + com.google.cloud.automl.v1beta1.TextExtraction.getDescriptor(); + com.google.cloud.automl.v1beta1.TextSentimentProto.getDescriptor(); + com.google.cloud.automl.v1beta1.TranslationProto.getDescriptor(); + com.google.protobuf.AnyProto.getDescriptor(); + com.google.api.AnnotationsProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationSpec.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationSpec.java new file mode 100644 index 000000000..6010ebe99 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationSpec.java @@ -0,0 +1,922 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/annotation_spec.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * A definition of an annotation spec.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.AnnotationSpec} + */ +public final class AnnotationSpec extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.AnnotationSpec) + AnnotationSpecOrBuilder { + private static final long serialVersionUID = 0L; + // Use AnnotationSpec.newBuilder() to construct. + private AnnotationSpec(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private AnnotationSpec() { + name_ = ""; + displayName_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new AnnotationSpec(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private AnnotationSpec( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + name_ = s; + break; + } + case 18: + { + java.lang.String s = input.readStringRequireUtf8(); + + displayName_ = s; + break; + } + case 72: + { + exampleCount_ = input.readInt32(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AnnotationSpecOuterClass + .internal_static_google_cloud_automl_v1beta1_AnnotationSpec_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AnnotationSpecOuterClass + .internal_static_google_cloud_automl_v1beta1_AnnotationSpec_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.AnnotationSpec.class, + com.google.cloud.automl.v1beta1.AnnotationSpec.Builder.class); + } + + public static final int NAME_FIELD_NUMBER = 1; + private volatile java.lang.Object name_; + /** + * + * + * 
+   * Output only. Resource name of the annotation spec.
+   * Form:
+   * 'projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/annotationSpecs/{annotation_spec_id}'
+   *
+ * + * string name = 1; + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } + } + /** + * + * + * 
+   * Output only. Resource name of the annotation spec.
+   * Form:
+   * 'projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/annotationSpecs/{annotation_spec_id}'
+   *
+ * + * string name = 1; + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int DISPLAY_NAME_FIELD_NUMBER = 2; + private volatile java.lang.Object displayName_; + /** + * + * + * 
+   * Required. The name of the annotation spec to show in the interface. The name can be
+   * up to 32 characters long and must match the regexp `[a-zA-Z0-9_]+`.
+   *
+ * + * string display_name = 2; + * + * @return The displayName. + */ + public java.lang.String getDisplayName() { + java.lang.Object ref = displayName_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + displayName_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. The name of the annotation spec to show in the interface. The name can be
+   * up to 32 characters long and must match the regexp `[a-zA-Z0-9_]+`.
+   *
+ * + * string display_name = 2; + * + * @return The bytes for displayName. + */ + public com.google.protobuf.ByteString getDisplayNameBytes() { + java.lang.Object ref = displayName_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + displayName_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int EXAMPLE_COUNT_FIELD_NUMBER = 9; + private int exampleCount_; + /** + * + * + * 
+   * Output only. The number of examples in the parent dataset
+   * labeled by the annotation spec.
+   *
+ * + * int32 example_count = 9; + * + * @return The exampleCount. + */ + public int getExampleCount() { + return exampleCount_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_); + } + if (!getDisplayNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 2, displayName_); + } + if (exampleCount_ != 0) { + output.writeInt32(9, exampleCount_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_); + } + if (!getDisplayNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, displayName_); + } + if (exampleCount_ != 0) { + size += com.google.protobuf.CodedOutputStream.computeInt32Size(9, exampleCount_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.AnnotationSpec)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.AnnotationSpec other = + (com.google.cloud.automl.v1beta1.AnnotationSpec) obj; + + if (!getName().equals(other.getName())) return false; + if (!getDisplayName().equals(other.getDisplayName())) return false; + if (getExampleCount() != other.getExampleCount()) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + NAME_FIELD_NUMBER; + hash = (53 * hash) + getName().hashCode(); + hash = (37 * hash) + DISPLAY_NAME_FIELD_NUMBER; + hash = (53 * hash) + getDisplayName().hashCode(); + hash = (37 * hash) + EXAMPLE_COUNT_FIELD_NUMBER; + hash = (53 * hash) + getExampleCount(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.AnnotationSpec parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.AnnotationSpec parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.AnnotationSpec parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.AnnotationSpec parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.AnnotationSpec parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.AnnotationSpec parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.AnnotationSpec parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.AnnotationSpec parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.AnnotationSpec parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.AnnotationSpec parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.AnnotationSpec parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.AnnotationSpec parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.AnnotationSpec prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * A definition of an annotation spec.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.AnnotationSpec} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.AnnotationSpec) + com.google.cloud.automl.v1beta1.AnnotationSpecOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AnnotationSpecOuterClass + .internal_static_google_cloud_automl_v1beta1_AnnotationSpec_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AnnotationSpecOuterClass + .internal_static_google_cloud_automl_v1beta1_AnnotationSpec_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.AnnotationSpec.class, + com.google.cloud.automl.v1beta1.AnnotationSpec.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.AnnotationSpec.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + name_ = ""; + + displayName_ = ""; + + exampleCount_ = 0; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AnnotationSpecOuterClass + .internal_static_google_cloud_automl_v1beta1_AnnotationSpec_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.AnnotationSpec getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.AnnotationSpec.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.AnnotationSpec build() { + com.google.cloud.automl.v1beta1.AnnotationSpec result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.AnnotationSpec buildPartial() { + com.google.cloud.automl.v1beta1.AnnotationSpec result = + new com.google.cloud.automl.v1beta1.AnnotationSpec(this); + result.name_ = name_; + result.displayName_ = displayName_; + result.exampleCount_ = exampleCount_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.AnnotationSpec) { + return mergeFrom((com.google.cloud.automl.v1beta1.AnnotationSpec) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.AnnotationSpec other) { + if (other == com.google.cloud.automl.v1beta1.AnnotationSpec.getDefaultInstance()) return this; + if (!other.getName().isEmpty()) { + name_ = other.name_; + onChanged(); + } + if (!other.getDisplayName().isEmpty()) { + displayName_ = other.displayName_; + onChanged(); + } + if (other.getExampleCount() != 0) { + setExampleCount(other.getExampleCount()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.AnnotationSpec parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.AnnotationSpec) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object name_ = ""; + /** + * + * + * 
+     * Output only. Resource name of the annotation spec.
+     * Form:
+     * 'projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/annotationSpecs/{annotation_spec_id}'
+     *
+ * + * string name = 1; + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Output only. Resource name of the annotation spec.
+     * Form:
+     * 'projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/annotationSpecs/{annotation_spec_id}'
+     *
+ * + * string name = 1; + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Output only. Resource name of the annotation spec.
+     * Form:
+     * 'projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/annotationSpecs/{annotation_spec_id}'
+     *
+ * + * string name = 1; + * + * @param value The name to set. + * @return This builder for chaining. + */ + public Builder setName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + name_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. Resource name of the annotation spec.
+     * Form:
+     * 'projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/annotationSpecs/{annotation_spec_id}'
+     *
+ * + * string name = 1; + * + * @return This builder for chaining. + */ + public Builder clearName() { + + name_ = getDefaultInstance().getName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. Resource name of the annotation spec.
+     * Form:
+     * 'projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/annotationSpecs/{annotation_spec_id}'
+     *
+ * + * string name = 1; + * + * @param value The bytes for name to set. + * @return This builder for chaining. + */ + public Builder setNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + name_ = value; + onChanged(); + return this; + } + + private java.lang.Object displayName_ = ""; + /** + * + * + * 
+     * Required. The name of the annotation spec to show in the interface. The name can be
+     * up to 32 characters long and must match the regexp `[a-zA-Z0-9_]+`.
+     *
+ * + * string display_name = 2; + * + * @return The displayName. + */ + public java.lang.String getDisplayName() { + java.lang.Object ref = displayName_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + displayName_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. The name of the annotation spec to show in the interface. The name can be
+     * up to 32 characters long and must match the regexp `[a-zA-Z0-9_]+`.
+     *
+ * + * string display_name = 2; + * + * @return The bytes for displayName. + */ + public com.google.protobuf.ByteString getDisplayNameBytes() { + java.lang.Object ref = displayName_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + displayName_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. The name of the annotation spec to show in the interface. The name can be
+     * up to 32 characters long and must match the regexp `[a-zA-Z0-9_]+`.
+     *
+ * + * string display_name = 2; + * + * @param value The displayName to set. + * @return This builder for chaining. + */ + public Builder setDisplayName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + displayName_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The name of the annotation spec to show in the interface. The name can be
+     * up to 32 characters long and must match the regexp `[a-zA-Z0-9_]+`.
+     *
+ * + * string display_name = 2; + * + * @return This builder for chaining. + */ + public Builder clearDisplayName() { + + displayName_ = getDefaultInstance().getDisplayName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The name of the annotation spec to show in the interface. The name can be
+     * up to 32 characters long and must match the regexp `[a-zA-Z0-9_]+`.
+     *
+ * + * string display_name = 2; + * + * @param value The bytes for displayName to set. + * @return This builder for chaining. + */ + public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + displayName_ = value; + onChanged(); + return this; + } + + private int exampleCount_; + /** + * + * + * 
+     * Output only. The number of examples in the parent dataset
+     * labeled by the annotation spec.
+     *
+ * + * int32 example_count = 9; + * + * @return The exampleCount. + */ + public int getExampleCount() { + return exampleCount_; + } + /** + * + * + * 
+     * Output only. The number of examples in the parent dataset
+     * labeled by the annotation spec.
+     *
+ * + * int32 example_count = 9; + * + * @param value The exampleCount to set. + * @return This builder for chaining. + */ + public Builder setExampleCount(int value) { + + exampleCount_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The number of examples in the parent dataset
+     * labeled by the annotation spec.
+     *
+ * + * int32 example_count = 9; + * + * @return This builder for chaining. + */ + public Builder clearExampleCount() { + + exampleCount_ = 0; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.AnnotationSpec) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.AnnotationSpec) + private static final com.google.cloud.automl.v1beta1.AnnotationSpec DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.AnnotationSpec(); + } + + public static com.google.cloud.automl.v1beta1.AnnotationSpec getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public AnnotationSpec parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new AnnotationSpec(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.AnnotationSpec getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationSpecName.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationSpecName.java new file mode 100644 index 000000000..eda2ccfd2 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationSpecName.java @@ -0,0 +1,251 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package com.google.cloud.automl.v1beta1; + +import com.google.api.pathtemplate.PathTemplate; +import com.google.api.resourcenames.ResourceName; +import com.google.common.base.Preconditions; +import com.google.common.collect.ImmutableMap; +import java.util.ArrayList; +import java.util.List; +import java.util.Map; + +/** AUTO-GENERATED DOCUMENTATION AND CLASS */ +@javax.annotation.Generated("by GAPIC protoc plugin") +public class AnnotationSpecName implements ResourceName { + + private static final PathTemplate PATH_TEMPLATE = + PathTemplate.createWithoutUrlEncoding( + "projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}"); + + private volatile Map fieldValuesMap; + + private final String project; + private final String location; + private final String dataset; + private final String annotationSpec; + + public String getProject() { + return project; + } + + public String getLocation() { + return location; + } + + public String getDataset() { + return dataset; + } + + public String getAnnotationSpec() { + return annotationSpec; + } + + public static Builder newBuilder() { + return new Builder(); + } + + public Builder toBuilder() { + return new Builder(this); + } + + private AnnotationSpecName(Builder builder) { + project = Preconditions.checkNotNull(builder.getProject()); + location = Preconditions.checkNotNull(builder.getLocation()); + dataset = Preconditions.checkNotNull(builder.getDataset()); + annotationSpec = Preconditions.checkNotNull(builder.getAnnotationSpec()); + } + + public static AnnotationSpecName of( + String project, String location, String dataset, String annotationSpec) { + return newBuilder() + .setProject(project) + .setLocation(location) + .setDataset(dataset) + .setAnnotationSpec(annotationSpec) + .build(); + } + + public static String format( + String project, String location, String dataset, String annotationSpec) { + return newBuilder() + .setProject(project) + .setLocation(location) + .setDataset(dataset) + .setAnnotationSpec(annotationSpec) + .build() + .toString(); + } + + public static AnnotationSpecName parse(String formattedString) { + if (formattedString.isEmpty()) { + return null; + } + Map matchMap = + PATH_TEMPLATE.validatedMatch( + formattedString, "AnnotationSpecName.parse: formattedString not in valid format"); + return of( + matchMap.get("project"), + matchMap.get("location"), + matchMap.get("dataset"), + matchMap.get("annotation_spec")); + } + + public static List parseList(List formattedStrings) { + List list = new ArrayList<>(formattedStrings.size()); + for (String formattedString : formattedStrings) { + list.add(parse(formattedString)); + } + return list; + } + + public static List toStringList(List values) { + List list = new ArrayList(values.size()); + for (AnnotationSpecName value : values) { + if (value == null) { + list.add(""); + } else { + list.add(value.toString()); + } + } + return list; + } + + public static boolean isParsableFrom(String formattedString) { + return PATH_TEMPLATE.matches(formattedString); + } + + public Map getFieldValuesMap() { + if (fieldValuesMap == null) { + synchronized (this) { + if (fieldValuesMap == null) { + ImmutableMap.Builder fieldMapBuilder = ImmutableMap.builder(); + fieldMapBuilder.put("project", project); + fieldMapBuilder.put("location", location); + fieldMapBuilder.put("dataset", dataset); + fieldMapBuilder.put("annotationSpec", annotationSpec); + fieldValuesMap = fieldMapBuilder.build(); + } + } + } + return fieldValuesMap; + } + + public String getFieldValue(String fieldName) { + return getFieldValuesMap().get(fieldName); + } + + @Override + public String toString() { + return PATH_TEMPLATE.instantiate( + "project", + project, + "location", + location, + "dataset", + dataset, + "annotation_spec", + annotationSpec); + } + + /** Builder for AnnotationSpecName. */ + public static class Builder { + + private String project; + private String location; + private String dataset; + private String annotationSpec; + + public String getProject() { + return project; + } + + public String getLocation() { + return location; + } + + public String getDataset() { + return dataset; + } + + public String getAnnotationSpec() { + return annotationSpec; + } + + public Builder setProject(String project) { + this.project = project; + return this; + } + + public Builder setLocation(String location) { + this.location = location; + return this; + } + + public Builder setDataset(String dataset) { + this.dataset = dataset; + return this; + } + + public Builder setAnnotationSpec(String annotationSpec) { + this.annotationSpec = annotationSpec; + return this; + } + + private Builder() {} + + private Builder(AnnotationSpecName annotationSpecName) { + project = annotationSpecName.project; + location = annotationSpecName.location; + dataset = annotationSpecName.dataset; + annotationSpec = annotationSpecName.annotationSpec; + } + + public AnnotationSpecName build() { + return new AnnotationSpecName(this); + } + } + + @Override + public boolean equals(Object o) { + if (o == this) { + return true; + } + if (o instanceof AnnotationSpecName) { + AnnotationSpecName that = (AnnotationSpecName) o; + return (this.project.equals(that.project)) + && (this.location.equals(that.location)) + && (this.dataset.equals(that.dataset)) + && (this.annotationSpec.equals(that.annotationSpec)); + } + return false; + } + + @Override + public int hashCode() { + int h = 1; + h *= 1000003; + h ^= project.hashCode(); + h *= 1000003; + h ^= location.hashCode(); + h *= 1000003; + h ^= dataset.hashCode(); + h *= 1000003; + h ^= annotationSpec.hashCode(); + return h; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationSpecOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationSpecOrBuilder.java new file mode 100644 index 000000000..439b1e004 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationSpecOrBuilder.java @@ -0,0 +1,95 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/annotation_spec.proto + +package com.google.cloud.automl.v1beta1; + +public interface AnnotationSpecOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.AnnotationSpec) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Output only. Resource name of the annotation spec.
+   * Form:
+   * 'projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/annotationSpecs/{annotation_spec_id}'
+   *
+ * + * string name = 1; + * + * @return The name. + */ + java.lang.String getName(); + /** + * + * + * 
+   * Output only. Resource name of the annotation spec.
+   * Form:
+   * 'projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/annotationSpecs/{annotation_spec_id}'
+   *
+ * + * string name = 1; + * + * @return The bytes for name. + */ + com.google.protobuf.ByteString getNameBytes(); + + /** + * + * + * 
+   * Required. The name of the annotation spec to show in the interface. The name can be
+   * up to 32 characters long and must match the regexp `[a-zA-Z0-9_]+`.
+   *
+ * + * string display_name = 2; + * + * @return The displayName. + */ + java.lang.String getDisplayName(); + /** + * + * + * 
+   * Required. The name of the annotation spec to show in the interface. The name can be
+   * up to 32 characters long and must match the regexp `[a-zA-Z0-9_]+`.
+   *
+ * + * string display_name = 2; + * + * @return The bytes for displayName. + */ + com.google.protobuf.ByteString getDisplayNameBytes(); + + /** + * + * + * 
+   * Output only. The number of examples in the parent dataset
+   * labeled by the annotation spec.
+   *
+ * + * int32 example_count = 9; + * + * @return The exampleCount. + */ + int getExampleCount(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationSpecOuterClass.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationSpecOuterClass.java new file mode 100644 index 000000000..ff959130e --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationSpecOuterClass.java @@ -0,0 +1,83 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/annotation_spec.proto + +package com.google.cloud.automl.v1beta1; + +public final class AnnotationSpecOuterClass { + private AnnotationSpecOuterClass() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_AnnotationSpec_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_AnnotationSpec_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n1google/cloud/automl/v1beta1/annotation" + + "_spec.proto\022\033google.cloud.automl.v1beta1" + + "\032\031google/api/resource.proto\032\034google/api/" + + "annotations.proto\"\326\001\n\016AnnotationSpec\022\014\n\004" + + "name\030\001 \001(\t\022\024\n\014display_name\030\002 \001(\t\022\025\n\rexam" + + "ple_count\030\t \001(\005:\210\001\352A\204\001\n$automl.googleapi" + + "s.com/AnnotationSpec\022\\projects/{project}" + + "/locations/{location}/datasets/{dataset}" + + "/annotationSpecs/{annotation_spec}B\245\001\n\037c" + + "om.google.cloud.automl.v1beta1P\001ZAgoogle" + + ".golang.org/genproto/googleapis/cloud/au" + + "toml/v1beta1;automl\312\002\033Google\\Cloud\\AutoM" + + "l\\V1beta1\352\002\036Google::Cloud::AutoML::V1bet" + + "a1b\006proto3" + }; + descriptor = + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.api.ResourceProto.getDescriptor(), + com.google.api.AnnotationsProto.getDescriptor(), + }); + internal_static_google_cloud_automl_v1beta1_AnnotationSpec_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_AnnotationSpec_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_AnnotationSpec_descriptor, + new java.lang.String[] { + "Name", "DisplayName", "ExampleCount", + }); + com.google.protobuf.ExtensionRegistry registry = + com.google.protobuf.ExtensionRegistry.newInstance(); + registry.add(com.google.api.ResourceProto.resource); + com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor( + descriptor, registry); + com.google.api.ResourceProto.getDescriptor(); + com.google.api.AnnotationsProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ArrayStats.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ArrayStats.java new file mode 100644 index 000000000..3dc79ac32 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ArrayStats.java @@ -0,0 +1,741 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_stats.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * The data statistics of a series of ARRAY values.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ArrayStats} + */ +public final class ArrayStats extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ArrayStats) + ArrayStatsOrBuilder { + private static final long serialVersionUID = 0L; + // Use ArrayStats.newBuilder() to construct. + private ArrayStats(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ArrayStats() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ArrayStats(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ArrayStats( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 18: + { + com.google.cloud.automl.v1beta1.DataStats.Builder subBuilder = null; + if (memberStats_ != null) { + subBuilder = memberStats_.toBuilder(); + } + memberStats_ = + input.readMessage( + com.google.cloud.automl.v1beta1.DataStats.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(memberStats_); + memberStats_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_ArrayStats_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_ArrayStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ArrayStats.class, + com.google.cloud.automl.v1beta1.ArrayStats.Builder.class); + } + + public static final int MEMBER_STATS_FIELD_NUMBER = 2; + private com.google.cloud.automl.v1beta1.DataStats memberStats_; + /** + * + * + * 
+   * Stats of all the values of all arrays, as if they were a single long
+   * series of data. The type depends on the element type of the array.
+   *
+ * + * .google.cloud.automl.v1beta1.DataStats member_stats = 2; + * + * @return Whether the memberStats field is set. + */ + public boolean hasMemberStats() { + return memberStats_ != null; + } + /** + * + * + * 
+   * Stats of all the values of all arrays, as if they were a single long
+   * series of data. The type depends on the element type of the array.
+   *
+ * + * .google.cloud.automl.v1beta1.DataStats member_stats = 2; + * + * @return The memberStats. + */ + public com.google.cloud.automl.v1beta1.DataStats getMemberStats() { + return memberStats_ == null + ? com.google.cloud.automl.v1beta1.DataStats.getDefaultInstance() + : memberStats_; + } + /** + * + * + * 
+   * Stats of all the values of all arrays, as if they were a single long
+   * series of data. The type depends on the element type of the array.
+   *
+ * + * .google.cloud.automl.v1beta1.DataStats member_stats = 2; + */ + public com.google.cloud.automl.v1beta1.DataStatsOrBuilder getMemberStatsOrBuilder() { + return getMemberStats(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (memberStats_ != null) { + output.writeMessage(2, getMemberStats()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (memberStats_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getMemberStats()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ArrayStats)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ArrayStats other = + (com.google.cloud.automl.v1beta1.ArrayStats) obj; + + if (hasMemberStats() != other.hasMemberStats()) return false; + if (hasMemberStats()) { + if (!getMemberStats().equals(other.getMemberStats())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (hasMemberStats()) { + hash = (37 * hash) + MEMBER_STATS_FIELD_NUMBER; + hash = (53 * hash) + getMemberStats().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ArrayStats parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ArrayStats parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ArrayStats parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ArrayStats parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ArrayStats parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ArrayStats parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ArrayStats parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ArrayStats parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ArrayStats parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ArrayStats parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ArrayStats parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ArrayStats parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.ArrayStats prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * The data statistics of a series of ARRAY values.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ArrayStats} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ArrayStats) + com.google.cloud.automl.v1beta1.ArrayStatsOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_ArrayStats_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_ArrayStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ArrayStats.class, + com.google.cloud.automl.v1beta1.ArrayStats.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.ArrayStats.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (memberStatsBuilder_ == null) { + memberStats_ = null; + } else { + memberStats_ = null; + memberStatsBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_ArrayStats_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ArrayStats getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ArrayStats.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ArrayStats build() { + com.google.cloud.automl.v1beta1.ArrayStats result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ArrayStats buildPartial() { + com.google.cloud.automl.v1beta1.ArrayStats result = + new com.google.cloud.automl.v1beta1.ArrayStats(this); + if (memberStatsBuilder_ == null) { + result.memberStats_ = memberStats_; + } else { + result.memberStats_ = memberStatsBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ArrayStats) { + return mergeFrom((com.google.cloud.automl.v1beta1.ArrayStats) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.ArrayStats other) { + if (other == com.google.cloud.automl.v1beta1.ArrayStats.getDefaultInstance()) return this; + if (other.hasMemberStats()) { + mergeMemberStats(other.getMemberStats()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ArrayStats parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.ArrayStats) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private com.google.cloud.automl.v1beta1.DataStats memberStats_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DataStats, + com.google.cloud.automl.v1beta1.DataStats.Builder, + com.google.cloud.automl.v1beta1.DataStatsOrBuilder> + memberStatsBuilder_; + /** + * + * + * 
+     * Stats of all the values of all arrays, as if they were a single long
+     * series of data. The type depends on the element type of the array.
+     *
+ * + * .google.cloud.automl.v1beta1.DataStats member_stats = 2; + * + * @return Whether the memberStats field is set. + */ + public boolean hasMemberStats() { + return memberStatsBuilder_ != null || memberStats_ != null; + } + /** + * + * + * 
+     * Stats of all the values of all arrays, as if they were a single long
+     * series of data. The type depends on the element type of the array.
+     *
+ * + * .google.cloud.automl.v1beta1.DataStats member_stats = 2; + * + * @return The memberStats. + */ + public com.google.cloud.automl.v1beta1.DataStats getMemberStats() { + if (memberStatsBuilder_ == null) { + return memberStats_ == null + ? com.google.cloud.automl.v1beta1.DataStats.getDefaultInstance() + : memberStats_; + } else { + return memberStatsBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Stats of all the values of all arrays, as if they were a single long
+     * series of data. The type depends on the element type of the array.
+     *
+ * + * .google.cloud.automl.v1beta1.DataStats member_stats = 2; + */ + public Builder setMemberStats(com.google.cloud.automl.v1beta1.DataStats value) { + if (memberStatsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + memberStats_ = value; + onChanged(); + } else { + memberStatsBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Stats of all the values of all arrays, as if they were a single long
+     * series of data. The type depends on the element type of the array.
+     *
+ * + * .google.cloud.automl.v1beta1.DataStats member_stats = 2; + */ + public Builder setMemberStats( + com.google.cloud.automl.v1beta1.DataStats.Builder builderForValue) { + if (memberStatsBuilder_ == null) { + memberStats_ = builderForValue.build(); + onChanged(); + } else { + memberStatsBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Stats of all the values of all arrays, as if they were a single long
+     * series of data. The type depends on the element type of the array.
+     *
+ * + * .google.cloud.automl.v1beta1.DataStats member_stats = 2; + */ + public Builder mergeMemberStats(com.google.cloud.automl.v1beta1.DataStats value) { + if (memberStatsBuilder_ == null) { + if (memberStats_ != null) { + memberStats_ = + com.google.cloud.automl.v1beta1.DataStats.newBuilder(memberStats_) + .mergeFrom(value) + .buildPartial(); + } else { + memberStats_ = value; + } + onChanged(); + } else { + memberStatsBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Stats of all the values of all arrays, as if they were a single long
+     * series of data. The type depends on the element type of the array.
+     *
+ * + * .google.cloud.automl.v1beta1.DataStats member_stats = 2; + */ + public Builder clearMemberStats() { + if (memberStatsBuilder_ == null) { + memberStats_ = null; + onChanged(); + } else { + memberStats_ = null; + memberStatsBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Stats of all the values of all arrays, as if they were a single long
+     * series of data. The type depends on the element type of the array.
+     *
+ * + * .google.cloud.automl.v1beta1.DataStats member_stats = 2; + */ + public com.google.cloud.automl.v1beta1.DataStats.Builder getMemberStatsBuilder() { + + onChanged(); + return getMemberStatsFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Stats of all the values of all arrays, as if they were a single long
+     * series of data. The type depends on the element type of the array.
+     *
+ * + * .google.cloud.automl.v1beta1.DataStats member_stats = 2; + */ + public com.google.cloud.automl.v1beta1.DataStatsOrBuilder getMemberStatsOrBuilder() { + if (memberStatsBuilder_ != null) { + return memberStatsBuilder_.getMessageOrBuilder(); + } else { + return memberStats_ == null + ? com.google.cloud.automl.v1beta1.DataStats.getDefaultInstance() + : memberStats_; + } + } + /** + * + * + * 
+     * Stats of all the values of all arrays, as if they were a single long
+     * series of data. The type depends on the element type of the array.
+     *
+ * + * .google.cloud.automl.v1beta1.DataStats member_stats = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DataStats, + com.google.cloud.automl.v1beta1.DataStats.Builder, + com.google.cloud.automl.v1beta1.DataStatsOrBuilder> + getMemberStatsFieldBuilder() { + if (memberStatsBuilder_ == null) { + memberStatsBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DataStats, + com.google.cloud.automl.v1beta1.DataStats.Builder, + com.google.cloud.automl.v1beta1.DataStatsOrBuilder>( + getMemberStats(), getParentForChildren(), isClean()); + memberStats_ = null; + } + return memberStatsBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ArrayStats) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ArrayStats) + private static final com.google.cloud.automl.v1beta1.ArrayStats DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ArrayStats(); + } + + public static com.google.cloud.automl.v1beta1.ArrayStats getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ArrayStats parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ArrayStats(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ArrayStats getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ArrayStatsOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ArrayStatsOrBuilder.java new file mode 100644 index 000000000..62b72935c --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ArrayStatsOrBuilder.java @@ -0,0 +1,63 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_stats.proto + +package com.google.cloud.automl.v1beta1; + +public interface ArrayStatsOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ArrayStats) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Stats of all the values of all arrays, as if they were a single long
+   * series of data. The type depends on the element type of the array.
+   *
+ * + * .google.cloud.automl.v1beta1.DataStats member_stats = 2; + * + * @return Whether the memberStats field is set. + */ + boolean hasMemberStats(); + /** + * + * + * 
+   * Stats of all the values of all arrays, as if they were a single long
+   * series of data. The type depends on the element type of the array.
+   *
+ * + * .google.cloud.automl.v1beta1.DataStats member_stats = 2; + * + * @return The memberStats. + */ + com.google.cloud.automl.v1beta1.DataStats getMemberStats(); + /** + * + * + * 
+   * Stats of all the values of all arrays, as if they were a single long
+   * series of data. The type depends on the element type of the array.
+   *
+ * + * .google.cloud.automl.v1beta1.DataStats member_stats = 2; + */ + com.google.cloud.automl.v1beta1.DataStatsOrBuilder getMemberStatsOrBuilder(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AutoMlProto.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AutoMlProto.java new file mode 100644 index 000000000..2a6ca3947 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AutoMlProto.java @@ -0,0 +1,689 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public final class AutoMlProto { + private AutoMlProto() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_CreateDatasetRequest_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_CreateDatasetRequest_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_GetDatasetRequest_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + 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}); + internal_static_google_cloud_automl_v1beta1_CreateDatasetRequest_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_CreateDatasetRequest_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_CreateDatasetRequest_descriptor, + new java.lang.String[] { + "Parent", "Dataset", + }); + internal_static_google_cloud_automl_v1beta1_GetDatasetRequest_descriptor = + getDescriptor().getMessageTypes().get(1); + internal_static_google_cloud_automl_v1beta1_GetDatasetRequest_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_GetDatasetRequest_descriptor, + new java.lang.String[] { + "Name", + }); + internal_static_google_cloud_automl_v1beta1_ListDatasetsRequest_descriptor = + getDescriptor().getMessageTypes().get(2); + 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com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_UpdateDatasetRequest_descriptor, + new java.lang.String[] { + "Dataset", "UpdateMask", + }); + internal_static_google_cloud_automl_v1beta1_DeleteDatasetRequest_descriptor = + getDescriptor().getMessageTypes().get(5); + internal_static_google_cloud_automl_v1beta1_DeleteDatasetRequest_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_DeleteDatasetRequest_descriptor, + new java.lang.String[] { + "Name", + }); + internal_static_google_cloud_automl_v1beta1_ImportDataRequest_descriptor = + getDescriptor().getMessageTypes().get(6); + internal_static_google_cloud_automl_v1beta1_ImportDataRequest_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ImportDataRequest_descriptor, + new java.lang.String[] { + "Name", "InputConfig", + }); + internal_static_google_cloud_automl_v1beta1_ExportDataRequest_descriptor = + getDescriptor().getMessageTypes().get(7); + internal_static_google_cloud_automl_v1beta1_ExportDataRequest_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ExportDataRequest_descriptor, + new java.lang.String[] { + "Name", "OutputConfig", + }); + internal_static_google_cloud_automl_v1beta1_GetAnnotationSpecRequest_descriptor = + getDescriptor().getMessageTypes().get(8); + internal_static_google_cloud_automl_v1beta1_GetAnnotationSpecRequest_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_GetAnnotationSpecRequest_descriptor, + new java.lang.String[] { + "Name", + }); + internal_static_google_cloud_automl_v1beta1_GetTableSpecRequest_descriptor = + getDescriptor().getMessageTypes().get(9); + internal_static_google_cloud_automl_v1beta1_GetTableSpecRequest_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_GetTableSpecRequest_descriptor, + new java.lang.String[] { + "Name", "FieldMask", + }); + internal_static_google_cloud_automl_v1beta1_ListTableSpecsRequest_descriptor = + getDescriptor().getMessageTypes().get(10); + internal_static_google_cloud_automl_v1beta1_ListTableSpecsRequest_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ListTableSpecsRequest_descriptor, + new java.lang.String[] { + "Parent", "FieldMask", "Filter", "PageSize", "PageToken", + }); + internal_static_google_cloud_automl_v1beta1_ListTableSpecsResponse_descriptor = + getDescriptor().getMessageTypes().get(11); + internal_static_google_cloud_automl_v1beta1_ListTableSpecsResponse_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ListTableSpecsResponse_descriptor, + new java.lang.String[] { + "TableSpecs", "NextPageToken", + }); + internal_static_google_cloud_automl_v1beta1_UpdateTableSpecRequest_descriptor = + getDescriptor().getMessageTypes().get(12); + internal_static_google_cloud_automl_v1beta1_UpdateTableSpecRequest_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_UpdateTableSpecRequest_descriptor, + new java.lang.String[] { + "TableSpec", "UpdateMask", + }); + internal_static_google_cloud_automl_v1beta1_GetColumnSpecRequest_descriptor = + getDescriptor().getMessageTypes().get(13); + internal_static_google_cloud_automl_v1beta1_GetColumnSpecRequest_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_GetColumnSpecRequest_descriptor, + new java.lang.String[] { + "Name", "FieldMask", + }); + internal_static_google_cloud_automl_v1beta1_ListColumnSpecsRequest_descriptor = + getDescriptor().getMessageTypes().get(14); + internal_static_google_cloud_automl_v1beta1_ListColumnSpecsRequest_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ListColumnSpecsRequest_descriptor, + new java.lang.String[] { + "Parent", "FieldMask", "Filter", "PageSize", "PageToken", + }); + internal_static_google_cloud_automl_v1beta1_ListColumnSpecsResponse_descriptor = + getDescriptor().getMessageTypes().get(15); + internal_static_google_cloud_automl_v1beta1_ListColumnSpecsResponse_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ListColumnSpecsResponse_descriptor, + new java.lang.String[] { + "ColumnSpecs", "NextPageToken", + }); + internal_static_google_cloud_automl_v1beta1_UpdateColumnSpecRequest_descriptor = + getDescriptor().getMessageTypes().get(16); + internal_static_google_cloud_automl_v1beta1_UpdateColumnSpecRequest_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_UpdateColumnSpecRequest_descriptor, + new java.lang.String[] { + "ColumnSpec", "UpdateMask", + }); + internal_static_google_cloud_automl_v1beta1_CreateModelRequest_descriptor = + getDescriptor().getMessageTypes().get(17); + internal_static_google_cloud_automl_v1beta1_CreateModelRequest_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_CreateModelRequest_descriptor, + new java.lang.String[] { + "Parent", "Model", + }); + internal_static_google_cloud_automl_v1beta1_GetModelRequest_descriptor = + getDescriptor().getMessageTypes().get(18); + internal_static_google_cloud_automl_v1beta1_GetModelRequest_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_GetModelRequest_descriptor, + new java.lang.String[] { + "Name", + }); + internal_static_google_cloud_automl_v1beta1_ListModelsRequest_descriptor = + getDescriptor().getMessageTypes().get(19); + internal_static_google_cloud_automl_v1beta1_ListModelsRequest_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ListModelsRequest_descriptor, + new java.lang.String[] { + "Parent", "Filter", "PageSize", "PageToken", + }); + internal_static_google_cloud_automl_v1beta1_ListModelsResponse_descriptor = + getDescriptor().getMessageTypes().get(20); + internal_static_google_cloud_automl_v1beta1_ListModelsResponse_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ListModelsResponse_descriptor, + new java.lang.String[] { + "Model", "NextPageToken", + }); + internal_static_google_cloud_automl_v1beta1_DeleteModelRequest_descriptor = + getDescriptor().getMessageTypes().get(21); + internal_static_google_cloud_automl_v1beta1_DeleteModelRequest_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_DeleteModelRequest_descriptor, + new java.lang.String[] { + "Name", + }); + internal_static_google_cloud_automl_v1beta1_DeployModelRequest_descriptor = + getDescriptor().getMessageTypes().get(22); + internal_static_google_cloud_automl_v1beta1_DeployModelRequest_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_DeployModelRequest_descriptor, + new java.lang.String[] { + "ImageObjectDetectionModelDeploymentMetadata", + "ImageClassificationModelDeploymentMetadata", + "Name", + "ModelDeploymentMetadata", + }); + internal_static_google_cloud_automl_v1beta1_UndeployModelRequest_descriptor = + getDescriptor().getMessageTypes().get(23); + internal_static_google_cloud_automl_v1beta1_UndeployModelRequest_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_UndeployModelRequest_descriptor, + new java.lang.String[] { + "Name", + }); + internal_static_google_cloud_automl_v1beta1_ExportModelRequest_descriptor = + getDescriptor().getMessageTypes().get(24); + internal_static_google_cloud_automl_v1beta1_ExportModelRequest_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ExportModelRequest_descriptor, + new java.lang.String[] { + "Name", "OutputConfig", + }); + internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesRequest_descriptor = + getDescriptor().getMessageTypes().get(25); + internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesRequest_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesRequest_descriptor, + new java.lang.String[] { + "Name", "OutputConfig", + }); + internal_static_google_cloud_automl_v1beta1_GetModelEvaluationRequest_descriptor = + getDescriptor().getMessageTypes().get(26); + internal_static_google_cloud_automl_v1beta1_GetModelEvaluationRequest_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_GetModelEvaluationRequest_descriptor, + new java.lang.String[] { + "Name", + }); + internal_static_google_cloud_automl_v1beta1_ListModelEvaluationsRequest_descriptor = + getDescriptor().getMessageTypes().get(27); + internal_static_google_cloud_automl_v1beta1_ListModelEvaluationsRequest_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ListModelEvaluationsRequest_descriptor, + new java.lang.String[] { + "Parent", "Filter", "PageSize", "PageToken", + }); + internal_static_google_cloud_automl_v1beta1_ListModelEvaluationsResponse_descriptor = + getDescriptor().getMessageTypes().get(28); + internal_static_google_cloud_automl_v1beta1_ListModelEvaluationsResponse_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ListModelEvaluationsResponse_descriptor, + new java.lang.String[] { + "ModelEvaluation", "NextPageToken", + }); + com.google.protobuf.ExtensionRegistry registry = + com.google.protobuf.ExtensionRegistry.newInstance(); + registry.add(com.google.api.ClientProto.defaultHost); + registry.add(com.google.api.FieldBehaviorProto.fieldBehavior); + registry.add(com.google.api.AnnotationsProto.http); + registry.add(com.google.api.ClientProto.methodSignature); + registry.add(com.google.api.ClientProto.oauthScopes); + registry.add(com.google.api.ResourceProto.resourceReference); + registry.add(com.google.longrunning.OperationsProto.operationInfo); + com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor( + descriptor, registry); + com.google.api.AnnotationsProto.getDescriptor(); + com.google.api.ClientProto.getDescriptor(); + com.google.api.FieldBehaviorProto.getDescriptor(); + com.google.api.ResourceProto.getDescriptor(); + com.google.cloud.automl.v1beta1.AnnotationPayloadOuterClass.getDescriptor(); + com.google.cloud.automl.v1beta1.AnnotationSpecOuterClass.getDescriptor(); + com.google.cloud.automl.v1beta1.ColumnSpecOuterClass.getDescriptor(); + com.google.cloud.automl.v1beta1.DatasetOuterClass.getDescriptor(); + com.google.cloud.automl.v1beta1.ImageProto.getDescriptor(); + com.google.cloud.automl.v1beta1.Io.getDescriptor(); + com.google.cloud.automl.v1beta1.ModelOuterClass.getDescriptor(); + com.google.cloud.automl.v1beta1.ModelEvaluationOuterClass.getDescriptor(); + com.google.cloud.automl.v1beta1.Operations.getDescriptor(); + com.google.cloud.automl.v1beta1.TableSpecOuterClass.getDescriptor(); + com.google.longrunning.OperationsProto.getDescriptor(); + com.google.protobuf.FieldMaskProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictInputConfig.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictInputConfig.java new file mode 100644 index 000000000..4bb6d24c6 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictInputConfig.java @@ -0,0 +1,1509 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/io.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Input configuration for BatchPredict Action.
+ * The format of input depends on the ML problem of the model used for
+ * prediction. As input source the
+ * [gcs_source][google.cloud.automl.v1beta1.InputConfig.gcs_source]
+ * is expected, unless specified otherwise.
+ * The formats are represented in EBNF with commas being literal and with
+ * non-terminal symbols defined near the end of this comment. The formats
+ * are:
+ *  *  For Image Classification:
+ *         CSV file(s) with each line having just a single column:
+ *           GCS_FILE_PATH
+ *           which leads to image of up to 30MB in size. Supported
+ *           extensions: .JPEG, .GIF, .PNG. This path is treated as the ID in
+ *           the Batch predict output.
+ *         Three sample rows:
+ *           gs://folder/image1.jpeg
+ *           gs://folder/image2.gif
+ *           gs://folder/image3.png
+ *  *  For Image Object Detection:
+ *         CSV file(s) with each line having just a single column:
+ *           GCS_FILE_PATH
+ *           which leads to image of up to 30MB in size. Supported
+ *           extensions: .JPEG, .GIF, .PNG. This path is treated as the ID in
+ *           the Batch predict output.
+ *         Three sample rows:
+ *           gs://folder/image1.jpeg
+ *           gs://folder/image2.gif
+ *           gs://folder/image3.png
+ *  *  For Video Classification:
+ *         CSV file(s) with each line in format:
+ *           GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END
+ *           GCS_FILE_PATH leads to video of up to 50GB in size and up to 3h
+ *           duration. Supported extensions: .MOV, .MPEG4, .MP4, .AVI.
+ *           TIME_SEGMENT_START and TIME_SEGMENT_END must be within the
+ *           length of the video, and end has to be after the start.
+ *         Three sample rows:
+ *           gs://folder/video1.mp4,10,40
+ *           gs://folder/video1.mp4,20,60
+ *           gs://folder/vid2.mov,0,inf
+ *  *  For Video Object Tracking:
+ *         CSV file(s) with each line in format:
+ *           GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END
+ *           GCS_FILE_PATH leads to video of up to 50GB in size and up to 3h
+ *           duration. Supported extensions: .MOV, .MPEG4, .MP4, .AVI.
+ *           TIME_SEGMENT_START and TIME_SEGMENT_END must be within the
+ *           length of the video, and end has to be after the start.
+ *         Three sample rows:
+ *           gs://folder/video1.mp4,10,240
+ *           gs://folder/video1.mp4,300,360
+ *           gs://folder/vid2.mov,0,inf
+ *  *  For Text Classification:
+ *         CSV file(s) with each line having just a single column:
+ *           GCS_FILE_PATH | TEXT_SNIPPET
+ *         Any given text file can have size upto 128kB.
+ *         Any given text snippet content must have 60,000 characters or less.
+ *         Three sample rows:
+ *           gs://folder/text1.txt
+ *           "Some text content to predict"
+ *           gs://folder/text3.pdf
+ *         Supported file extensions: .txt, .pdf
+ *  *  For Text Sentiment:
+ *         CSV file(s) with each line having just a single column:
+ *           GCS_FILE_PATH | TEXT_SNIPPET
+ *         Any given text file can have size upto 128kB.
+ *         Any given text snippet content must have 500 characters or less.
+ *         Three sample rows:
+ *           gs://folder/text1.txt
+ *           "Some text content to predict"
+ *           gs://folder/text3.pdf
+ *         Supported file extensions: .txt, .pdf
+ *  * For Text Extraction
+ *         .JSONL (i.e. JSON Lines) file(s) which either provide text in-line or
+ *         as documents (for a single BatchPredict call only one of the these
+ *         formats may be used).
+ *         The in-line .JSONL file(s) contain per line a proto that
+ *           wraps a temporary user-assigned TextSnippet ID (string up to 2000
+ *           characters long) called "id", a TextSnippet proto (in
+ *           json representation) and zero or more TextFeature protos. Any given
+ *           text snippet content must have 30,000 characters or less, and also
+ *           be UTF-8 NFC encoded (ASCII already is). The IDs provided should be
+ *           unique.
+ *         The document .JSONL file(s) contain, per line, a proto that wraps a
+ *           Document proto with input_config set. Only PDF documents are
+ *           supported now, and each document must be up to 2MB large.
+ *         Any given .JSONL file must be 100MB or smaller, and no more than 20
+ *         files may be given.
+ *         Sample in-line JSON Lines file (presented here with artificial line
+ *         breaks, but the only actual line break is denoted by \n):
+ *           {
+ *             "id": "my_first_id",
+ *             "text_snippet": { "content": "dog car cat"},
+ *             "text_features": [
+ *               {
+ *                 "text_segment": {"start_offset": 4, "end_offset": 6},
+ *                 "structural_type": PARAGRAPH,
+ *                 "bounding_poly": {
+ *                   "normalized_vertices": [
+ *                     {"x": 0.1, "y": 0.1},
+ *                     {"x": 0.1, "y": 0.3},
+ *                     {"x": 0.3, "y": 0.3},
+ *                     {"x": 0.3, "y": 0.1},
+ *                   ]
+ *                 },
+ *               }
+ *             ],
+ *           }\n
+ *           {
+ *             "id": "2",
+ *             "text_snippet": {
+ *               "content": "An elaborate content",
+ *               "mime_type": "text/plain"
+ *             }
+ *           }
+ *         Sample document JSON Lines file (presented here with artificial line
+ *         breaks, but the only actual line break is denoted by \n).:
+ *           {
+ *             "document": {
+ *               "input_config": {
+ *                 "gcs_source": { "input_uris": [ "gs://folder/document1.pdf" ]
+ *                 }
+ *               }
+ *             }
+ *           }\n
+ *           {
+ *             "document": {
+ *               "input_config": {
+ *                 "gcs_source": { "input_uris": [ "gs://folder/document2.pdf" ]
+ *                 }
+ *               }
+ *             }
+ *           }
+ *  *  For Tables:
+ *         Either
+ *         [gcs_source][google.cloud.automl.v1beta1.InputConfig.gcs_source] or
+ * [bigquery_source][google.cloud.automl.v1beta1.InputConfig.bigquery_source].
+ *         GCS case:
+ *           CSV file(s), each by itself 10GB or smaller and total size must be
+ *           100GB or smaller, where first file must have a header containing
+ *           column names. If the first row of a subsequent file is the same as
+ *           the header, then it is also treated as a header. All other rows
+ *           contain values for the corresponding columns.
+ *           The column names must contain the model's
+ * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+ * [display_name-s][google.cloud.automl.v1beta1.ColumnSpec.display_name]
+ *           (order doesn't matter). The columns corresponding to the model's
+ *           input feature column specs must contain values compatible with the
+ *           column spec's data types. Prediction on all the rows, i.e. the CSV
+ *           lines, will be attempted. For FORECASTING
+ * [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]:
+ *           all columns having
+ * [TIME_SERIES_AVAILABLE_PAST_ONLY][google.cloud.automl.v1beta1.ColumnSpec.ForecastingMetadata.ColumnType]
+ *           type will be ignored.
+ *           First three sample rows of a CSV file:
+ *             "First Name","Last Name","Dob","Addresses"
+ * "John","Doe","1968-01-22","[{"status":"current","address":"123_First_Avenue","city":"Seattle","state":"WA","zip":"11111","numberOfYears":"1"},{"status":"previous","address":"456_Main_Street","city":"Portland","state":"OR","zip":"22222","numberOfYears":"5"}]"
+ * "Jane","Doe","1980-10-16","[{"status":"current","address":"789_Any_Avenue","city":"Albany","state":"NY","zip":"33333","numberOfYears":"2"},{"status":"previous","address":"321_Main_Street","city":"Hoboken","state":"NJ","zip":"44444","numberOfYears":"3"}]}
+ *         BigQuery case:
+ *           An URI of a BigQuery table. The user data size of the BigQuery
+ *           table must be 100GB or smaller.
+ *           The column names must contain the model's
+ * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+ * [display_name-s][google.cloud.automl.v1beta1.ColumnSpec.display_name]
+ *           (order doesn't matter). The columns corresponding to the model's
+ *           input feature column specs must contain values compatible with the
+ *           column spec's data types. Prediction on all the rows of the table
+ *           will be attempted. For FORECASTING
+ * [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]:
+ *           all columns having
+ * [TIME_SERIES_AVAILABLE_PAST_ONLY][google.cloud.automl.v1beta1.ColumnSpec.ForecastingMetadata.ColumnType]
+ *           type will be ignored.
+ *  Definitions:
+ *  GCS_FILE_PATH = A path to file on GCS, e.g. "gs://folder/video.avi".
+ *  TEXT_SNIPPET = A content of a text snippet, UTF-8 encoded, enclosed within
+ *                 double quotes ("")
+ *  TIME_SEGMENT_START = TIME_OFFSET
+ *                       Expresses a beginning, inclusive, of a time segment
+ *                       within an
+ *                       example that has a time dimension (e.g. video).
+ *  TIME_SEGMENT_END = TIME_OFFSET
+ *                     Expresses an end, exclusive, of a time segment within
+ *                     an example that has a time dimension (e.g. video).
+ *  TIME_OFFSET = A number of seconds as measured from the start of an
+ *                example (e.g. video). Fractions are allowed, up to a
+ *                microsecond precision. "inf" is allowed and it means the end
+ *                of the example.
+ *  Errors:
+ *  If any of the provided CSV files can't be parsed or if more than certain
+ *  percent of CSV rows cannot be processed then the operation fails and
+ *  prediction does not happen. Regardless of overall success or failure the
+ *  per-row failures, up to a certain count cap, will be listed in
+ *  Operation.metadata.partial_failures.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.BatchPredictInputConfig} + */ +public final class BatchPredictInputConfig extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.BatchPredictInputConfig) + BatchPredictInputConfigOrBuilder { + private static final long serialVersionUID = 0L; + // Use BatchPredictInputConfig.newBuilder() to construct. + private BatchPredictInputConfig(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private BatchPredictInputConfig() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new BatchPredictInputConfig(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private BatchPredictInputConfig( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + com.google.cloud.automl.v1beta1.GcsSource.Builder subBuilder = null; + if (sourceCase_ == 1) { + subBuilder = ((com.google.cloud.automl.v1beta1.GcsSource) source_).toBuilder(); + } + source_ = + input.readMessage( + com.google.cloud.automl.v1beta1.GcsSource.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.GcsSource) source_); + source_ = subBuilder.buildPartial(); + } + sourceCase_ = 1; + break; + } + case 18: + { + com.google.cloud.automl.v1beta1.BigQuerySource.Builder subBuilder = null; + if (sourceCase_ == 2) { + subBuilder = ((com.google.cloud.automl.v1beta1.BigQuerySource) source_).toBuilder(); + } + source_ = + input.readMessage( + com.google.cloud.automl.v1beta1.BigQuerySource.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.BigQuerySource) source_); + source_ = subBuilder.buildPartial(); + } + sourceCase_ = 2; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_BatchPredictInputConfig_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_BatchPredictInputConfig_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.BatchPredictInputConfig.class, + com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder.class); + } + + private int sourceCase_ = 0; + private java.lang.Object source_; + + public enum SourceCase + implements + com.google.protobuf.Internal.EnumLite, + com.google.protobuf.AbstractMessage.InternalOneOfEnum { + GCS_SOURCE(1), + BIGQUERY_SOURCE(2), + SOURCE_NOT_SET(0); + private final int value; + + private SourceCase(int value) { + this.value = value; + } + /** + * @param value The number of the enum to look for. + * @return The enum associated with the given number. + * @deprecated Use {@link #forNumber(int)} instead. + */ + @java.lang.Deprecated + public static SourceCase valueOf(int value) { + return forNumber(value); + } + + public static SourceCase forNumber(int value) { + switch (value) { + case 1: + return GCS_SOURCE; + case 2: + return BIGQUERY_SOURCE; + case 0: + return SOURCE_NOT_SET; + default: + return null; + } + } + + public int getNumber() { + return this.value; + } + }; + + public SourceCase getSourceCase() { + return SourceCase.forNumber(sourceCase_); + } + + public static final int GCS_SOURCE_FIELD_NUMBER = 1; + /** + * + * + * 
+   * The Google Cloud Storage location for the input content.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + * + * @return Whether the gcsSource field is set. + */ + public boolean hasGcsSource() { + return sourceCase_ == 1; + } + /** + * + * + * 
+   * The Google Cloud Storage location for the input content.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + * + * @return The gcsSource. + */ + public com.google.cloud.automl.v1beta1.GcsSource getGcsSource() { + if (sourceCase_ == 1) { + return (com.google.cloud.automl.v1beta1.GcsSource) source_; + } + return com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance(); + } + /** + * + * + * 
+   * The Google Cloud Storage location for the input content.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + */ + public com.google.cloud.automl.v1beta1.GcsSourceOrBuilder getGcsSourceOrBuilder() { + if (sourceCase_ == 1) { + return (com.google.cloud.automl.v1beta1.GcsSource) source_; + } + return com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance(); + } + + public static final int BIGQUERY_SOURCE_FIELD_NUMBER = 2; + /** + * + * + * 
+   * The BigQuery location for the input content.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2; + * + * @return Whether the bigquerySource field is set. + */ + public boolean hasBigquerySource() { + return sourceCase_ == 2; + } + /** + * + * + * 
+   * The BigQuery location for the input content.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2; + * + * @return The bigquerySource. + */ + public com.google.cloud.automl.v1beta1.BigQuerySource getBigquerySource() { + if (sourceCase_ == 2) { + return (com.google.cloud.automl.v1beta1.BigQuerySource) source_; + } + return com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance(); + } + /** + * + * + * 
+   * The BigQuery location for the input content.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2; + */ + public com.google.cloud.automl.v1beta1.BigQuerySourceOrBuilder getBigquerySourceOrBuilder() { + if (sourceCase_ == 2) { + return (com.google.cloud.automl.v1beta1.BigQuerySource) source_; + } + return com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (sourceCase_ == 1) { + output.writeMessage(1, (com.google.cloud.automl.v1beta1.GcsSource) source_); + } + if (sourceCase_ == 2) { + output.writeMessage(2, (com.google.cloud.automl.v1beta1.BigQuerySource) source_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (sourceCase_ == 1) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 1, (com.google.cloud.automl.v1beta1.GcsSource) source_); + } + if (sourceCase_ == 2) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 2, (com.google.cloud.automl.v1beta1.BigQuerySource) source_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.BatchPredictInputConfig)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.BatchPredictInputConfig other = + (com.google.cloud.automl.v1beta1.BatchPredictInputConfig) obj; + + if (!getSourceCase().equals(other.getSourceCase())) return false; + switch (sourceCase_) { + case 1: + if (!getGcsSource().equals(other.getGcsSource())) return false; + break; + case 2: + if (!getBigquerySource().equals(other.getBigquerySource())) return false; + break; + case 0: + default: + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + switch (sourceCase_) { + case 1: + hash = (37 * hash) + GCS_SOURCE_FIELD_NUMBER; + hash = (53 * hash) + getGcsSource().hashCode(); + break; + case 2: + hash = (37 * hash) + BIGQUERY_SOURCE_FIELD_NUMBER; + hash = (53 * hash) + getBigquerySource().hashCode(); + break; + case 0: + default: + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.BatchPredictInputConfig parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictInputConfig parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictInputConfig parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictInputConfig parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictInputConfig parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictInputConfig parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictInputConfig parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictInputConfig parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictInputConfig parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictInputConfig parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictInputConfig parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictInputConfig parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.BatchPredictInputConfig prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Input configuration for BatchPredict Action.
+   * The format of input depends on the ML problem of the model used for
+   * prediction. As input source the
+   * [gcs_source][google.cloud.automl.v1beta1.InputConfig.gcs_source]
+   * is expected, unless specified otherwise.
+   * The formats are represented in EBNF with commas being literal and with
+   * non-terminal symbols defined near the end of this comment. The formats
+   * are:
+   *  *  For Image Classification:
+   *         CSV file(s) with each line having just a single column:
+   *           GCS_FILE_PATH
+   *           which leads to image of up to 30MB in size. Supported
+   *           extensions: .JPEG, .GIF, .PNG. This path is treated as the ID in
+   *           the Batch predict output.
+   *         Three sample rows:
+   *           gs://folder/image1.jpeg
+   *           gs://folder/image2.gif
+   *           gs://folder/image3.png
+   *  *  For Image Object Detection:
+   *         CSV file(s) with each line having just a single column:
+   *           GCS_FILE_PATH
+   *           which leads to image of up to 30MB in size. Supported
+   *           extensions: .JPEG, .GIF, .PNG. This path is treated as the ID in
+   *           the Batch predict output.
+   *         Three sample rows:
+   *           gs://folder/image1.jpeg
+   *           gs://folder/image2.gif
+   *           gs://folder/image3.png
+   *  *  For Video Classification:
+   *         CSV file(s) with each line in format:
+   *           GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END
+   *           GCS_FILE_PATH leads to video of up to 50GB in size and up to 3h
+   *           duration. Supported extensions: .MOV, .MPEG4, .MP4, .AVI.
+   *           TIME_SEGMENT_START and TIME_SEGMENT_END must be within the
+   *           length of the video, and end has to be after the start.
+   *         Three sample rows:
+   *           gs://folder/video1.mp4,10,40
+   *           gs://folder/video1.mp4,20,60
+   *           gs://folder/vid2.mov,0,inf
+   *  *  For Video Object Tracking:
+   *         CSV file(s) with each line in format:
+   *           GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END
+   *           GCS_FILE_PATH leads to video of up to 50GB in size and up to 3h
+   *           duration. Supported extensions: .MOV, .MPEG4, .MP4, .AVI.
+   *           TIME_SEGMENT_START and TIME_SEGMENT_END must be within the
+   *           length of the video, and end has to be after the start.
+   *         Three sample rows:
+   *           gs://folder/video1.mp4,10,240
+   *           gs://folder/video1.mp4,300,360
+   *           gs://folder/vid2.mov,0,inf
+   *  *  For Text Classification:
+   *         CSV file(s) with each line having just a single column:
+   *           GCS_FILE_PATH | TEXT_SNIPPET
+   *         Any given text file can have size upto 128kB.
+   *         Any given text snippet content must have 60,000 characters or less.
+   *         Three sample rows:
+   *           gs://folder/text1.txt
+   *           "Some text content to predict"
+   *           gs://folder/text3.pdf
+   *         Supported file extensions: .txt, .pdf
+   *  *  For Text Sentiment:
+   *         CSV file(s) with each line having just a single column:
+   *           GCS_FILE_PATH | TEXT_SNIPPET
+   *         Any given text file can have size upto 128kB.
+   *         Any given text snippet content must have 500 characters or less.
+   *         Three sample rows:
+   *           gs://folder/text1.txt
+   *           "Some text content to predict"
+   *           gs://folder/text3.pdf
+   *         Supported file extensions: .txt, .pdf
+   *  * For Text Extraction
+   *         .JSONL (i.e. JSON Lines) file(s) which either provide text in-line or
+   *         as documents (for a single BatchPredict call only one of the these
+   *         formats may be used).
+   *         The in-line .JSONL file(s) contain per line a proto that
+   *           wraps a temporary user-assigned TextSnippet ID (string up to 2000
+   *           characters long) called "id", a TextSnippet proto (in
+   *           json representation) and zero or more TextFeature protos. Any given
+   *           text snippet content must have 30,000 characters or less, and also
+   *           be UTF-8 NFC encoded (ASCII already is). The IDs provided should be
+   *           unique.
+   *         The document .JSONL file(s) contain, per line, a proto that wraps a
+   *           Document proto with input_config set. Only PDF documents are
+   *           supported now, and each document must be up to 2MB large.
+   *         Any given .JSONL file must be 100MB or smaller, and no more than 20
+   *         files may be given.
+   *         Sample in-line JSON Lines file (presented here with artificial line
+   *         breaks, but the only actual line break is denoted by \n):
+   *           {
+   *             "id": "my_first_id",
+   *             "text_snippet": { "content": "dog car cat"},
+   *             "text_features": [
+   *               {
+   *                 "text_segment": {"start_offset": 4, "end_offset": 6},
+   *                 "structural_type": PARAGRAPH,
+   *                 "bounding_poly": {
+   *                   "normalized_vertices": [
+   *                     {"x": 0.1, "y": 0.1},
+   *                     {"x": 0.1, "y": 0.3},
+   *                     {"x": 0.3, "y": 0.3},
+   *                     {"x": 0.3, "y": 0.1},
+   *                   ]
+   *                 },
+   *               }
+   *             ],
+   *           }\n
+   *           {
+   *             "id": "2",
+   *             "text_snippet": {
+   *               "content": "An elaborate content",
+   *               "mime_type": "text/plain"
+   *             }
+   *           }
+   *         Sample document JSON Lines file (presented here with artificial line
+   *         breaks, but the only actual line break is denoted by \n).:
+   *           {
+   *             "document": {
+   *               "input_config": {
+   *                 "gcs_source": { "input_uris": [ "gs://folder/document1.pdf" ]
+   *                 }
+   *               }
+   *             }
+   *           }\n
+   *           {
+   *             "document": {
+   *               "input_config": {
+   *                 "gcs_source": { "input_uris": [ "gs://folder/document2.pdf" ]
+   *                 }
+   *               }
+   *             }
+   *           }
+   *  *  For Tables:
+   *         Either
+   *         [gcs_source][google.cloud.automl.v1beta1.InputConfig.gcs_source] or
+   * [bigquery_source][google.cloud.automl.v1beta1.InputConfig.bigquery_source].
+   *         GCS case:
+   *           CSV file(s), each by itself 10GB or smaller and total size must be
+   *           100GB or smaller, where first file must have a header containing
+   *           column names. If the first row of a subsequent file is the same as
+   *           the header, then it is also treated as a header. All other rows
+   *           contain values for the corresponding columns.
+   *           The column names must contain the model's
+   * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * [display_name-s][google.cloud.automl.v1beta1.ColumnSpec.display_name]
+   *           (order doesn't matter). The columns corresponding to the model's
+   *           input feature column specs must contain values compatible with the
+   *           column spec's data types. Prediction on all the rows, i.e. the CSV
+   *           lines, will be attempted. For FORECASTING
+   * [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]:
+   *           all columns having
+   * [TIME_SERIES_AVAILABLE_PAST_ONLY][google.cloud.automl.v1beta1.ColumnSpec.ForecastingMetadata.ColumnType]
+   *           type will be ignored.
+   *           First three sample rows of a CSV file:
+   *             "First Name","Last Name","Dob","Addresses"
+   * "John","Doe","1968-01-22","[{"status":"current","address":"123_First_Avenue","city":"Seattle","state":"WA","zip":"11111","numberOfYears":"1"},{"status":"previous","address":"456_Main_Street","city":"Portland","state":"OR","zip":"22222","numberOfYears":"5"}]"
+   * "Jane","Doe","1980-10-16","[{"status":"current","address":"789_Any_Avenue","city":"Albany","state":"NY","zip":"33333","numberOfYears":"2"},{"status":"previous","address":"321_Main_Street","city":"Hoboken","state":"NJ","zip":"44444","numberOfYears":"3"}]}
+   *         BigQuery case:
+   *           An URI of a BigQuery table. The user data size of the BigQuery
+   *           table must be 100GB or smaller.
+   *           The column names must contain the model's
+   * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * [display_name-s][google.cloud.automl.v1beta1.ColumnSpec.display_name]
+   *           (order doesn't matter). The columns corresponding to the model's
+   *           input feature column specs must contain values compatible with the
+   *           column spec's data types. Prediction on all the rows of the table
+   *           will be attempted. For FORECASTING
+   * [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]:
+   *           all columns having
+   * [TIME_SERIES_AVAILABLE_PAST_ONLY][google.cloud.automl.v1beta1.ColumnSpec.ForecastingMetadata.ColumnType]
+   *           type will be ignored.
+   *  Definitions:
+   *  GCS_FILE_PATH = A path to file on GCS, e.g. "gs://folder/video.avi".
+   *  TEXT_SNIPPET = A content of a text snippet, UTF-8 encoded, enclosed within
+   *                 double quotes ("")
+   *  TIME_SEGMENT_START = TIME_OFFSET
+   *                       Expresses a beginning, inclusive, of a time segment
+   *                       within an
+   *                       example that has a time dimension (e.g. video).
+   *  TIME_SEGMENT_END = TIME_OFFSET
+   *                     Expresses an end, exclusive, of a time segment within
+   *                     an example that has a time dimension (e.g. video).
+   *  TIME_OFFSET = A number of seconds as measured from the start of an
+   *                example (e.g. video). Fractions are allowed, up to a
+   *                microsecond precision. "inf" is allowed and it means the end
+   *                of the example.
+   *  Errors:
+   *  If any of the provided CSV files can't be parsed or if more than certain
+   *  percent of CSV rows cannot be processed then the operation fails and
+   *  prediction does not happen. Regardless of overall success or failure the
+   *  per-row failures, up to a certain count cap, will be listed in
+   *  Operation.metadata.partial_failures.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.BatchPredictInputConfig} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.BatchPredictInputConfig) + com.google.cloud.automl.v1beta1.BatchPredictInputConfigOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_BatchPredictInputConfig_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_BatchPredictInputConfig_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.BatchPredictInputConfig.class, + com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.BatchPredictInputConfig.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + sourceCase_ = 0; + source_ = null; + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_BatchPredictInputConfig_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BatchPredictInputConfig getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.BatchPredictInputConfig.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BatchPredictInputConfig build() { + com.google.cloud.automl.v1beta1.BatchPredictInputConfig result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BatchPredictInputConfig buildPartial() { + com.google.cloud.automl.v1beta1.BatchPredictInputConfig result = + new com.google.cloud.automl.v1beta1.BatchPredictInputConfig(this); + if (sourceCase_ == 1) { + if (gcsSourceBuilder_ == null) { + result.source_ = source_; + } else { + result.source_ = gcsSourceBuilder_.build(); + } + } + if (sourceCase_ == 2) { + if (bigquerySourceBuilder_ == null) { + result.source_ = source_; + } else { + result.source_ = bigquerySourceBuilder_.build(); + } + } + result.sourceCase_ = sourceCase_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.BatchPredictInputConfig) { + return mergeFrom((com.google.cloud.automl.v1beta1.BatchPredictInputConfig) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.BatchPredictInputConfig other) { + if (other == com.google.cloud.automl.v1beta1.BatchPredictInputConfig.getDefaultInstance()) + return this; + switch (other.getSourceCase()) { + case GCS_SOURCE: + { + mergeGcsSource(other.getGcsSource()); + break; + } + case BIGQUERY_SOURCE: + { + mergeBigquerySource(other.getBigquerySource()); + break; + } + case SOURCE_NOT_SET: + { + break; + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.BatchPredictInputConfig parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.BatchPredictInputConfig) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int sourceCase_ = 0; + private java.lang.Object source_; + + public SourceCase getSourceCase() { + return SourceCase.forNumber(sourceCase_); + } + + public Builder clearSource() { + sourceCase_ = 0; + source_ = null; + onChanged(); + return this; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.GcsSource, + com.google.cloud.automl.v1beta1.GcsSource.Builder, + com.google.cloud.automl.v1beta1.GcsSourceOrBuilder> + gcsSourceBuilder_; + /** + * + * + * 
+     * The Google Cloud Storage location for the input content.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + * + * @return Whether the gcsSource field is set. + */ + public boolean hasGcsSource() { + return sourceCase_ == 1; + } + /** + * + * + * 
+     * The Google Cloud Storage location for the input content.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + * + * @return The gcsSource. + */ + public com.google.cloud.automl.v1beta1.GcsSource getGcsSource() { + if (gcsSourceBuilder_ == null) { + if (sourceCase_ == 1) { + return (com.google.cloud.automl.v1beta1.GcsSource) source_; + } + return com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance(); + } else { + if (sourceCase_ == 1) { + return gcsSourceBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The Google Cloud Storage location for the input content.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + */ + public Builder setGcsSource(com.google.cloud.automl.v1beta1.GcsSource value) { + if (gcsSourceBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + source_ = value; + onChanged(); + } else { + gcsSourceBuilder_.setMessage(value); + } + sourceCase_ = 1; + return this; + } + /** + * + * + * 
+     * The Google Cloud Storage location for the input content.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + */ + public Builder setGcsSource(com.google.cloud.automl.v1beta1.GcsSource.Builder builderForValue) { + if (gcsSourceBuilder_ == null) { + source_ = builderForValue.build(); + onChanged(); + } else { + gcsSourceBuilder_.setMessage(builderForValue.build()); + } + sourceCase_ = 1; + return this; + } + /** + * + * + * 
+     * The Google Cloud Storage location for the input content.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + */ + public Builder mergeGcsSource(com.google.cloud.automl.v1beta1.GcsSource value) { + if (gcsSourceBuilder_ == null) { + if (sourceCase_ == 1 + && source_ != com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance()) { + source_ = + com.google.cloud.automl.v1beta1.GcsSource.newBuilder( + (com.google.cloud.automl.v1beta1.GcsSource) source_) + .mergeFrom(value) + .buildPartial(); + } else { + source_ = value; + } + onChanged(); + } else { + if (sourceCase_ == 1) { + gcsSourceBuilder_.mergeFrom(value); + } + gcsSourceBuilder_.setMessage(value); + } + sourceCase_ = 1; + return this; + } + /** + * + * + * 
+     * The Google Cloud Storage location for the input content.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + */ + public Builder clearGcsSource() { + if (gcsSourceBuilder_ == null) { + if (sourceCase_ == 1) { + sourceCase_ = 0; + source_ = null; + onChanged(); + } + } else { + if (sourceCase_ == 1) { + sourceCase_ = 0; + source_ = null; + } + gcsSourceBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * The Google Cloud Storage location for the input content.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + */ + public com.google.cloud.automl.v1beta1.GcsSource.Builder getGcsSourceBuilder() { + return getGcsSourceFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The Google Cloud Storage location for the input content.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + */ + public com.google.cloud.automl.v1beta1.GcsSourceOrBuilder getGcsSourceOrBuilder() { + if ((sourceCase_ == 1) && (gcsSourceBuilder_ != null)) { + return gcsSourceBuilder_.getMessageOrBuilder(); + } else { + if (sourceCase_ == 1) { + return (com.google.cloud.automl.v1beta1.GcsSource) source_; + } + return com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The Google Cloud Storage location for the input content.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.GcsSource, + com.google.cloud.automl.v1beta1.GcsSource.Builder, + com.google.cloud.automl.v1beta1.GcsSourceOrBuilder> + getGcsSourceFieldBuilder() { + if (gcsSourceBuilder_ == null) { + if (!(sourceCase_ == 1)) { + source_ = com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance(); + } + gcsSourceBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.GcsSource, + com.google.cloud.automl.v1beta1.GcsSource.Builder, + com.google.cloud.automl.v1beta1.GcsSourceOrBuilder>( + (com.google.cloud.automl.v1beta1.GcsSource) source_, + getParentForChildren(), + isClean()); + source_ = null; + } + sourceCase_ = 1; + onChanged(); + ; + return gcsSourceBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BigQuerySource, + com.google.cloud.automl.v1beta1.BigQuerySource.Builder, + com.google.cloud.automl.v1beta1.BigQuerySourceOrBuilder> + bigquerySourceBuilder_; + /** + * + * + * 
+     * The BigQuery location for the input content.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2; + * + * @return Whether the bigquerySource field is set. + */ + public boolean hasBigquerySource() { + return sourceCase_ == 2; + } + /** + * + * + * 
+     * The BigQuery location for the input content.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2; + * + * @return The bigquerySource. + */ + public com.google.cloud.automl.v1beta1.BigQuerySource getBigquerySource() { + if (bigquerySourceBuilder_ == null) { + if (sourceCase_ == 2) { + return (com.google.cloud.automl.v1beta1.BigQuerySource) source_; + } + return com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance(); + } else { + if (sourceCase_ == 2) { + return bigquerySourceBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The BigQuery location for the input content.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2; + */ + public Builder setBigquerySource(com.google.cloud.automl.v1beta1.BigQuerySource value) { + if (bigquerySourceBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + source_ = value; + onChanged(); + } else { + bigquerySourceBuilder_.setMessage(value); + } + sourceCase_ = 2; + return this; + } + /** + * + * + * 
+     * The BigQuery location for the input content.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2; + */ + public Builder setBigquerySource( + com.google.cloud.automl.v1beta1.BigQuerySource.Builder builderForValue) { + if (bigquerySourceBuilder_ == null) { + source_ = builderForValue.build(); + onChanged(); + } else { + bigquerySourceBuilder_.setMessage(builderForValue.build()); + } + sourceCase_ = 2; + return this; + } + /** + * + * + * 
+     * The BigQuery location for the input content.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2; + */ + public Builder mergeBigquerySource(com.google.cloud.automl.v1beta1.BigQuerySource value) { + if (bigquerySourceBuilder_ == null) { + if (sourceCase_ == 2 + && source_ != com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance()) { + source_ = + com.google.cloud.automl.v1beta1.BigQuerySource.newBuilder( + (com.google.cloud.automl.v1beta1.BigQuerySource) source_) + .mergeFrom(value) + .buildPartial(); + } else { + source_ = value; + } + onChanged(); + } else { + if (sourceCase_ == 2) { + bigquerySourceBuilder_.mergeFrom(value); + } + bigquerySourceBuilder_.setMessage(value); + } + sourceCase_ = 2; + return this; + } + /** + * + * + * 
+     * The BigQuery location for the input content.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2; + */ + public Builder clearBigquerySource() { + if (bigquerySourceBuilder_ == null) { + if (sourceCase_ == 2) { + sourceCase_ = 0; + source_ = null; + onChanged(); + } + } else { + if (sourceCase_ == 2) { + sourceCase_ = 0; + source_ = null; + } + bigquerySourceBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * The BigQuery location for the input content.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2; + */ + public com.google.cloud.automl.v1beta1.BigQuerySource.Builder getBigquerySourceBuilder() { + return getBigquerySourceFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The BigQuery location for the input content.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2; + */ + public com.google.cloud.automl.v1beta1.BigQuerySourceOrBuilder getBigquerySourceOrBuilder() { + if ((sourceCase_ == 2) && (bigquerySourceBuilder_ != null)) { + return bigquerySourceBuilder_.getMessageOrBuilder(); + } else { + if (sourceCase_ == 2) { + return (com.google.cloud.automl.v1beta1.BigQuerySource) source_; + } + return com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The BigQuery location for the input content.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BigQuerySource, + com.google.cloud.automl.v1beta1.BigQuerySource.Builder, + com.google.cloud.automl.v1beta1.BigQuerySourceOrBuilder> + getBigquerySourceFieldBuilder() { + if (bigquerySourceBuilder_ == null) { + if (!(sourceCase_ == 2)) { + source_ = com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance(); + } + bigquerySourceBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BigQuerySource, + com.google.cloud.automl.v1beta1.BigQuerySource.Builder, + com.google.cloud.automl.v1beta1.BigQuerySourceOrBuilder>( + (com.google.cloud.automl.v1beta1.BigQuerySource) source_, + getParentForChildren(), + isClean()); + source_ = null; + } + sourceCase_ = 2; + onChanged(); + ; + return bigquerySourceBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.BatchPredictInputConfig) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.BatchPredictInputConfig) + private static final com.google.cloud.automl.v1beta1.BatchPredictInputConfig DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.BatchPredictInputConfig(); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictInputConfig getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public BatchPredictInputConfig parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new BatchPredictInputConfig(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BatchPredictInputConfig getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictInputConfigOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictInputConfigOrBuilder.java new file mode 100644 index 000000000..3ef53c40c --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictInputConfigOrBuilder.java @@ -0,0 +1,97 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/io.proto + +package com.google.cloud.automl.v1beta1; + +public interface BatchPredictInputConfigOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.BatchPredictInputConfig) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * The Google Cloud Storage location for the input content.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + * + * @return Whether the gcsSource field is set. + */ + boolean hasGcsSource(); + /** + * + * + * 
+   * The Google Cloud Storage location for the input content.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + * + * @return The gcsSource. + */ + com.google.cloud.automl.v1beta1.GcsSource getGcsSource(); + /** + * + * + * 
+   * The Google Cloud Storage location for the input content.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + */ + com.google.cloud.automl.v1beta1.GcsSourceOrBuilder getGcsSourceOrBuilder(); + + /** + * + * + * 
+   * The BigQuery location for the input content.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2; + * + * @return Whether the bigquerySource field is set. + */ + boolean hasBigquerySource(); + /** + * + * + * 
+   * The BigQuery location for the input content.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2; + * + * @return The bigquerySource. + */ + com.google.cloud.automl.v1beta1.BigQuerySource getBigquerySource(); + /** + * + * + * 
+   * The BigQuery location for the input content.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2; + */ + com.google.cloud.automl.v1beta1.BigQuerySourceOrBuilder getBigquerySourceOrBuilder(); + + public com.google.cloud.automl.v1beta1.BatchPredictInputConfig.SourceCase getSourceCase(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOperationMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOperationMetadata.java new file mode 100644 index 000000000..7a21fe573 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOperationMetadata.java @@ -0,0 +1,2142 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/operations.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Details of BatchPredict operation.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.BatchPredictOperationMetadata} + */ +public final class BatchPredictOperationMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.BatchPredictOperationMetadata) + BatchPredictOperationMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use BatchPredictOperationMetadata.newBuilder() to construct. + private BatchPredictOperationMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private BatchPredictOperationMetadata() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new BatchPredictOperationMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private BatchPredictOperationMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder subBuilder = null; + if (inputConfig_ != null) { + subBuilder = inputConfig_.toBuilder(); + } + inputConfig_ = + input.readMessage( + com.google.cloud.automl.v1beta1.BatchPredictInputConfig.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(inputConfig_); + inputConfig_ = subBuilder.buildPartial(); + } + + break; + } + case 18: + { + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + .Builder + subBuilder = null; + if (outputInfo_ != null) { + subBuilder = outputInfo_.toBuilder(); + } + outputInfo_ = + input.readMessage( + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata + .BatchPredictOutputInfo.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(outputInfo_); + outputInfo_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.class, + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.Builder.class); + } + + public interface BatchPredictOutputInfoOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+     * The full path of the Google Cloud Storage directory created, into which
+     * the prediction output is written.
+     *
+ * + * string gcs_output_directory = 1; + * + * @return The gcsOutputDirectory. + */ + java.lang.String getGcsOutputDirectory(); + /** + * + * + * 
+     * The full path of the Google Cloud Storage directory created, into which
+     * the prediction output is written.
+     *
+ * + * string gcs_output_directory = 1; + * + * @return The bytes for gcsOutputDirectory. + */ + com.google.protobuf.ByteString getGcsOutputDirectoryBytes(); + + /** + * + * + * 
+     * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+     * format, into which the prediction output is written.
+     *
+ * + * string bigquery_output_dataset = 2; + * + * @return The bigqueryOutputDataset. + */ + java.lang.String getBigqueryOutputDataset(); + /** + * + * + * 
+     * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+     * format, into which the prediction output is written.
+     *
+ * + * string bigquery_output_dataset = 2; + * + * @return The bytes for bigqueryOutputDataset. + */ + com.google.protobuf.ByteString getBigqueryOutputDatasetBytes(); + + public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + .OutputLocationCase + getOutputLocationCase(); + } + /** + * + * + * 
+   * Further describes this batch predict's output.
+   * Supplements
+   * [BatchPredictOutputConfig][google.cloud.automl.v1beta1.BatchPredictOutputConfig].
+   *
+ * + * Protobuf type {@code + * google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo} + */ + public static final class BatchPredictOutputInfo extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo) + BatchPredictOutputInfoOrBuilder { + private static final long serialVersionUID = 0L; + // Use BatchPredictOutputInfo.newBuilder() to construct. + private BatchPredictOutputInfo(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private BatchPredictOutputInfo() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new BatchPredictOutputInfo(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private BatchPredictOutputInfo( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + outputLocationCase_ = 1; + outputLocation_ = s; + break; + } + case 18: + { + java.lang.String s = input.readStringRequireUtf8(); + outputLocationCase_ = 2; + outputLocation_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_BatchPredictOutputInfo_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_BatchPredictOutputInfo_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + .class, + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + .Builder.class); + } + + private int outputLocationCase_ = 0; + private java.lang.Object outputLocation_; + + public enum OutputLocationCase + implements + com.google.protobuf.Internal.EnumLite, + com.google.protobuf.AbstractMessage.InternalOneOfEnum { + GCS_OUTPUT_DIRECTORY(1), + BIGQUERY_OUTPUT_DATASET(2), + OUTPUTLOCATION_NOT_SET(0); + private final int value; + + private OutputLocationCase(int value) { + this.value = value; + } + /** + * @param value The number of the enum to look for. + * @return The enum associated with the given number. + * @deprecated Use {@link #forNumber(int)} instead. + */ + @java.lang.Deprecated + public static OutputLocationCase valueOf(int value) { + return forNumber(value); + } + + public static OutputLocationCase forNumber(int value) { + switch (value) { + case 1: + return GCS_OUTPUT_DIRECTORY; + case 2: + return BIGQUERY_OUTPUT_DATASET; + case 0: + return OUTPUTLOCATION_NOT_SET; + default: + return null; + } + } + + public int getNumber() { + return this.value; + } + }; + + public OutputLocationCase getOutputLocationCase() { + return OutputLocationCase.forNumber(outputLocationCase_); + } + + public static final int GCS_OUTPUT_DIRECTORY_FIELD_NUMBER = 1; + /** + * + * + * 
+     * The full path of the Google Cloud Storage directory created, into which
+     * the prediction output is written.
+     *
+ * + * string gcs_output_directory = 1; + * + * @return The gcsOutputDirectory. + */ + public java.lang.String getGcsOutputDirectory() { + java.lang.Object ref = ""; + if (outputLocationCase_ == 1) { + ref = outputLocation_; + } + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + if (outputLocationCase_ == 1) { + outputLocation_ = s; + } + return s; + } + } + /** + * + * + * 
+     * The full path of the Google Cloud Storage directory created, into which
+     * the prediction output is written.
+     *
+ * + * string gcs_output_directory = 1; + * + * @return The bytes for gcsOutputDirectory. + */ + public com.google.protobuf.ByteString getGcsOutputDirectoryBytes() { + java.lang.Object ref = ""; + if (outputLocationCase_ == 1) { + ref = outputLocation_; + } + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + if (outputLocationCase_ == 1) { + outputLocation_ = b; + } + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int BIGQUERY_OUTPUT_DATASET_FIELD_NUMBER = 2; + /** + * + * + * 
+     * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+     * format, into which the prediction output is written.
+     *
+ * + * string bigquery_output_dataset = 2; + * + * @return The bigqueryOutputDataset. + */ + public java.lang.String getBigqueryOutputDataset() { + java.lang.Object ref = ""; + if (outputLocationCase_ == 2) { + ref = outputLocation_; + } + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + if (outputLocationCase_ == 2) { + outputLocation_ = s; + } + return s; + } + } + /** + * + * + * 
+     * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+     * format, into which the prediction output is written.
+     *
+ * + * string bigquery_output_dataset = 2; + * + * @return The bytes for bigqueryOutputDataset. + */ + public com.google.protobuf.ByteString getBigqueryOutputDatasetBytes() { + java.lang.Object ref = ""; + if (outputLocationCase_ == 2) { + ref = outputLocation_; + } + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + if (outputLocationCase_ == 2) { + outputLocation_ = b; + } + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (outputLocationCase_ == 1) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, outputLocation_); + } + if (outputLocationCase_ == 2) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 2, outputLocation_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (outputLocationCase_ == 1) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, outputLocation_); + } + if (outputLocationCase_ == 2) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, outputLocation_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj + instanceof + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo other = + (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo) + obj; + + if (!getOutputLocationCase().equals(other.getOutputLocationCase())) return false; + switch (outputLocationCase_) { + case 1: + if (!getGcsOutputDirectory().equals(other.getGcsOutputDirectory())) return false; + break; + case 2: + if (!getBigqueryOutputDataset().equals(other.getBigqueryOutputDataset())) return false; + break; + case 0: + default: + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + switch (outputLocationCase_) { + case 1: + hash = (37 * hash) + GCS_OUTPUT_DIRECTORY_FIELD_NUMBER; + hash = (53 * hash) + getGcsOutputDirectory().hashCode(); + break; + case 2: + hash = (37 * hash) + BIGQUERY_OUTPUT_DATASET_FIELD_NUMBER; + hash = (53 * hash) + getBigqueryOutputDataset().hashCode(); + break; + case 0: + default: + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata + .BatchPredictOutputInfo + parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata + .BatchPredictOutputInfo + parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata + .BatchPredictOutputInfo + parseFrom(com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata + .BatchPredictOutputInfo + parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata + .BatchPredictOutputInfo + parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata + .BatchPredictOutputInfo + parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata + .BatchPredictOutputInfo + parseFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata + .BatchPredictOutputInfo + parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata + .BatchPredictOutputInfo + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata + .BatchPredictOutputInfo + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata + .BatchPredictOutputInfo + parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata + .BatchPredictOutputInfo + parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType( + com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+     * Further describes this batch predict's output.
+     * Supplements
+     * [BatchPredictOutputConfig][google.cloud.automl.v1beta1.BatchPredictOutputConfig].
+     *
+ * + * Protobuf type {@code + * google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo} + */ + public static final class Builder + extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo) + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata + .BatchPredictOutputInfoOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_BatchPredictOutputInfo_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_BatchPredictOutputInfo_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + .class, + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + .Builder.class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + outputLocationCase_ = 0; + outputLocation_ = null; + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_BatchPredictOutputInfo_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + .getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + build() { + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + buildPartial() { + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + result = + new com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata + .BatchPredictOutputInfo(this); + if (outputLocationCase_ == 1) { + result.outputLocation_ = outputLocation_; + } + if (outputLocationCase_ == 2) { + result.outputLocation_ = outputLocation_; + } + result.outputLocationCase_ = outputLocationCase_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, + int index, + java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other + instanceof + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo) + other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + other) { + if (other + == com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + .getDefaultInstance()) return this; + switch (other.getOutputLocationCase()) { + case GCS_OUTPUT_DIRECTORY: + { + outputLocationCase_ = 1; + outputLocation_ = other.outputLocation_; + onChanged(); + break; + } + case BIGQUERY_OUTPUT_DATASET: + { + outputLocationCase_ = 2; + outputLocation_ = other.outputLocation_; + onChanged(); + break; + } + case OUTPUTLOCATION_NOT_SET: + { + break; + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int outputLocationCase_ = 0; + private java.lang.Object outputLocation_; + + public OutputLocationCase getOutputLocationCase() { + return OutputLocationCase.forNumber(outputLocationCase_); + } + + public Builder clearOutputLocation() { + outputLocationCase_ = 0; + outputLocation_ = null; + onChanged(); + return this; + } + + /** + * + * + * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the prediction output is written.
+       *
+ * + * string gcs_output_directory = 1; + * + * @return The gcsOutputDirectory. + */ + public java.lang.String getGcsOutputDirectory() { + java.lang.Object ref = ""; + if (outputLocationCase_ == 1) { + ref = outputLocation_; + } + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + if (outputLocationCase_ == 1) { + outputLocation_ = s; + } + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the prediction output is written.
+       *
+ * + * string gcs_output_directory = 1; + * + * @return The bytes for gcsOutputDirectory. + */ + public com.google.protobuf.ByteString getGcsOutputDirectoryBytes() { + java.lang.Object ref = ""; + if (outputLocationCase_ == 1) { + ref = outputLocation_; + } + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + if (outputLocationCase_ == 1) { + outputLocation_ = b; + } + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the prediction output is written.
+       *
+ * + * string gcs_output_directory = 1; + * + * @param value The gcsOutputDirectory to set. + * @return This builder for chaining. + */ + public Builder setGcsOutputDirectory(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + outputLocationCase_ = 1; + outputLocation_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the prediction output is written.
+       *
+ * + * string gcs_output_directory = 1; + * + * @return This builder for chaining. + */ + public Builder clearGcsOutputDirectory() { + if (outputLocationCase_ == 1) { + outputLocationCase_ = 0; + outputLocation_ = null; + onChanged(); + } + return this; + } + /** + * + * + * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the prediction output is written.
+       *
+ * + * string gcs_output_directory = 1; + * + * @param value The bytes for gcsOutputDirectory to set. + * @return This builder for chaining. + */ + public Builder setGcsOutputDirectoryBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + outputLocationCase_ = 1; + outputLocation_ = value; + onChanged(); + return this; + } + + /** + * + * + * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the prediction output is written.
+       *
+ * + * string bigquery_output_dataset = 2; + * + * @return The bigqueryOutputDataset. + */ + public java.lang.String getBigqueryOutputDataset() { + java.lang.Object ref = ""; + if (outputLocationCase_ == 2) { + ref = outputLocation_; + } + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + if (outputLocationCase_ == 2) { + outputLocation_ = s; + } + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the prediction output is written.
+       *
+ * + * string bigquery_output_dataset = 2; + * + * @return The bytes for bigqueryOutputDataset. + */ + public com.google.protobuf.ByteString getBigqueryOutputDatasetBytes() { + java.lang.Object ref = ""; + if (outputLocationCase_ == 2) { + ref = outputLocation_; + } + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + if (outputLocationCase_ == 2) { + outputLocation_ = b; + } + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the prediction output is written.
+       *
+ * + * string bigquery_output_dataset = 2; + * + * @param value The bigqueryOutputDataset to set. + * @return This builder for chaining. + */ + public Builder setBigqueryOutputDataset(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + outputLocationCase_ = 2; + outputLocation_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the prediction output is written.
+       *
+ * + * string bigquery_output_dataset = 2; + * + * @return This builder for chaining. + */ + public Builder clearBigqueryOutputDataset() { + if (outputLocationCase_ == 2) { + outputLocationCase_ = 0; + outputLocation_ = null; + onChanged(); + } + return this; + } + /** + * + * + * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the prediction output is written.
+       *
+ * + * string bigquery_output_dataset = 2; + * + * @param value The bytes for bigqueryOutputDataset to set. + * @return This builder for chaining. + */ + public Builder setBigqueryOutputDatasetBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + outputLocationCase_ = 2; + outputLocation_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo) + private static final com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata + .BatchPredictOutputInfo + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = + new com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata + .BatchPredictOutputInfo(); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata + .BatchPredictOutputInfo + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public BatchPredictOutputInfo parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new BatchPredictOutputInfo(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } + } + + public static final int INPUT_CONFIG_FIELD_NUMBER = 1; + private com.google.cloud.automl.v1beta1.BatchPredictInputConfig inputConfig_; + /** + * + * + * 
+   * Output only. The input config that was given upon starting this
+   * batch predict operation.
+   *
+ * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1; + * + * @return Whether the inputConfig field is set. + */ + public boolean hasInputConfig() { + return inputConfig_ != null; + } + /** + * + * + * 
+   * Output only. The input config that was given upon starting this
+   * batch predict operation.
+   *
+ * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1; + * + * @return The inputConfig. + */ + public com.google.cloud.automl.v1beta1.BatchPredictInputConfig getInputConfig() { + return inputConfig_ == null + ? com.google.cloud.automl.v1beta1.BatchPredictInputConfig.getDefaultInstance() + : inputConfig_; + } + /** + * + * + * 
+   * Output only. The input config that was given upon starting this
+   * batch predict operation.
+   *
+ * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1; + */ + public com.google.cloud.automl.v1beta1.BatchPredictInputConfigOrBuilder + getInputConfigOrBuilder() { + return getInputConfig(); + } + + public static final int OUTPUT_INFO_FIELD_NUMBER = 2; + private com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + outputInfo_; + /** + * + * + * 
+   * Output only. Information further describing this batch predict's output.
+   *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2; + * + * + * @return Whether the outputInfo field is set. + */ + public boolean hasOutputInfo() { + return outputInfo_ != null; + } + /** + * + * + * 
+   * Output only. Information further describing this batch predict's output.
+   *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2; + * + * + * @return The outputInfo. + */ + public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + getOutputInfo() { + return outputInfo_ == null + ? com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + .getDefaultInstance() + : outputInfo_; + } + /** + * + * + * 
+   * Output only. Information further describing this batch predict's output.
+   *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2; + * + */ + public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata + .BatchPredictOutputInfoOrBuilder + getOutputInfoOrBuilder() { + return getOutputInfo(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (inputConfig_ != null) { + output.writeMessage(1, getInputConfig()); + } + if (outputInfo_ != null) { + output.writeMessage(2, getOutputInfo()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (inputConfig_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getInputConfig()); + } + if (outputInfo_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getOutputInfo()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata other = + (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata) obj; + + if (hasInputConfig() != other.hasInputConfig()) return false; + if (hasInputConfig()) { + if (!getInputConfig().equals(other.getInputConfig())) return false; + } + if (hasOutputInfo() != other.hasOutputInfo()) return false; + if (hasOutputInfo()) { + if (!getOutputInfo().equals(other.getOutputInfo())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (hasInputConfig()) { + hash = (37 * hash) + INPUT_CONFIG_FIELD_NUMBER; + hash = (53 * hash) + getInputConfig().hashCode(); + } + if (hasOutputInfo()) { + hash = (37 * hash) + OUTPUT_INFO_FIELD_NUMBER; + hash = (53 * hash) + getOutputInfo().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Details of BatchPredict operation.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.BatchPredictOperationMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.BatchPredictOperationMetadata) + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.class, + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (inputConfigBuilder_ == null) { + inputConfig_ = null; + } else { + inputConfig_ = null; + inputConfigBuilder_ = null; + } + if (outputInfoBuilder_ == null) { + outputInfo_ = null; + } else { + outputInfo_ = null; + outputInfoBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata build() { + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata buildPartial() { + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata result = + new com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata(this); + if (inputConfigBuilder_ == null) { + result.inputConfig_ = inputConfig_; + } else { + result.inputConfig_ = inputConfigBuilder_.build(); + } + if (outputInfoBuilder_ == null) { + result.outputInfo_ = outputInfo_; + } else { + result.outputInfo_ = outputInfoBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata other) { + if (other + == com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.getDefaultInstance()) + return this; + if (other.hasInputConfig()) { + mergeInputConfig(other.getInputConfig()); + } + if (other.hasOutputInfo()) { + mergeOutputInfo(other.getOutputInfo()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private com.google.cloud.automl.v1beta1.BatchPredictInputConfig inputConfig_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BatchPredictInputConfig, + com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder, + com.google.cloud.automl.v1beta1.BatchPredictInputConfigOrBuilder> + inputConfigBuilder_; + /** + * + * + * 
+     * Output only. The input config that was given upon starting this
+     * batch predict operation.
+     *
+ * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1; + * + * @return Whether the inputConfig field is set. + */ + public boolean hasInputConfig() { + return inputConfigBuilder_ != null || inputConfig_ != null; + } + /** + * + * + * 
+     * Output only. The input config that was given upon starting this
+     * batch predict operation.
+     *
+ * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1; + * + * @return The inputConfig. + */ + public com.google.cloud.automl.v1beta1.BatchPredictInputConfig getInputConfig() { + if (inputConfigBuilder_ == null) { + return inputConfig_ == null + ? com.google.cloud.automl.v1beta1.BatchPredictInputConfig.getDefaultInstance() + : inputConfig_; + } else { + return inputConfigBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Output only. The input config that was given upon starting this
+     * batch predict operation.
+     *
+ * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1; + */ + public Builder setInputConfig(com.google.cloud.automl.v1beta1.BatchPredictInputConfig value) { + if (inputConfigBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + inputConfig_ = value; + onChanged(); + } else { + inputConfigBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. The input config that was given upon starting this
+     * batch predict operation.
+     *
+ * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1; + */ + public Builder setInputConfig( + com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder builderForValue) { + if (inputConfigBuilder_ == null) { + inputConfig_ = builderForValue.build(); + onChanged(); + } else { + inputConfigBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Output only. The input config that was given upon starting this
+     * batch predict operation.
+     *
+ * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1; + */ + public Builder mergeInputConfig(com.google.cloud.automl.v1beta1.BatchPredictInputConfig value) { + if (inputConfigBuilder_ == null) { + if (inputConfig_ != null) { + inputConfig_ = + com.google.cloud.automl.v1beta1.BatchPredictInputConfig.newBuilder(inputConfig_) + .mergeFrom(value) + .buildPartial(); + } else { + inputConfig_ = value; + } + onChanged(); + } else { + inputConfigBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. The input config that was given upon starting this
+     * batch predict operation.
+     *
+ * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1; + */ + public Builder clearInputConfig() { + if (inputConfigBuilder_ == null) { + inputConfig_ = null; + onChanged(); + } else { + inputConfig_ = null; + inputConfigBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Output only. The input config that was given upon starting this
+     * batch predict operation.
+     *
+ * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1; + */ + public com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder getInputConfigBuilder() { + + onChanged(); + return getInputConfigFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Output only. The input config that was given upon starting this
+     * batch predict operation.
+     *
+ * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1; + */ + public com.google.cloud.automl.v1beta1.BatchPredictInputConfigOrBuilder + getInputConfigOrBuilder() { + if (inputConfigBuilder_ != null) { + return inputConfigBuilder_.getMessageOrBuilder(); + } else { + return inputConfig_ == null + ? com.google.cloud.automl.v1beta1.BatchPredictInputConfig.getDefaultInstance() + : inputConfig_; + } + } + /** + * + * + * 
+     * Output only. The input config that was given upon starting this
+     * batch predict operation.
+     *
+ * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BatchPredictInputConfig, + com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder, + com.google.cloud.automl.v1beta1.BatchPredictInputConfigOrBuilder> + getInputConfigFieldBuilder() { + if (inputConfigBuilder_ == null) { + inputConfigBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BatchPredictInputConfig, + com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder, + com.google.cloud.automl.v1beta1.BatchPredictInputConfigOrBuilder>( + getInputConfig(), getParentForChildren(), isClean()); + inputConfig_ = null; + } + return inputConfigBuilder_; + } + + private com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + outputInfo_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo, + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + .Builder, + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata + .BatchPredictOutputInfoOrBuilder> + outputInfoBuilder_; + /** + * + * + * 
+     * Output only. Information further describing this batch predict's output.
+     *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2; + * + * + * @return Whether the outputInfo field is set. + */ + public boolean hasOutputInfo() { + return outputInfoBuilder_ != null || outputInfo_ != null; + } + /** + * + * + * 
+     * Output only. Information further describing this batch predict's output.
+     *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2; + * + * + * @return The outputInfo. + */ + public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + getOutputInfo() { + if (outputInfoBuilder_ == null) { + return outputInfo_ == null + ? com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + .getDefaultInstance() + : outputInfo_; + } else { + return outputInfoBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Output only. Information further describing this batch predict's output.
+     *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2; + * + */ + public Builder setOutputInfo( + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + value) { + if (outputInfoBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + outputInfo_ = value; + onChanged(); + } else { + outputInfoBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. Information further describing this batch predict's output.
+     *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2; + * + */ + public Builder setOutputInfo( + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo.Builder + builderForValue) { + if (outputInfoBuilder_ == null) { + outputInfo_ = builderForValue.build(); + onChanged(); + } else { + outputInfoBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Output only. Information further describing this batch predict's output.
+     *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2; + * + */ + public Builder mergeOutputInfo( + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + value) { + if (outputInfoBuilder_ == null) { + if (outputInfo_ != null) { + outputInfo_ = + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + .newBuilder(outputInfo_) + .mergeFrom(value) + .buildPartial(); + } else { + outputInfo_ = value; + } + onChanged(); + } else { + outputInfoBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. Information further describing this batch predict's output.
+     *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2; + * + */ + public Builder clearOutputInfo() { + if (outputInfoBuilder_ == null) { + outputInfo_ = null; + onChanged(); + } else { + outputInfo_ = null; + outputInfoBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Output only. Information further describing this batch predict's output.
+     *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2; + * + */ + public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + .Builder + getOutputInfoBuilder() { + + onChanged(); + return getOutputInfoFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Output only. Information further describing this batch predict's output.
+     *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2; + * + */ + public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata + .BatchPredictOutputInfoOrBuilder + getOutputInfoOrBuilder() { + if (outputInfoBuilder_ != null) { + return outputInfoBuilder_.getMessageOrBuilder(); + } else { + return outputInfo_ == null + ? com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + .getDefaultInstance() + : outputInfo_; + } + } + /** + * + * + * 
+     * Output only. Information further describing this batch predict's output.
+     *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo, + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + .Builder, + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata + .BatchPredictOutputInfoOrBuilder> + getOutputInfoFieldBuilder() { + if (outputInfoBuilder_ == null) { + outputInfoBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata + .BatchPredictOutputInfo, + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + .Builder, + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata + .BatchPredictOutputInfoOrBuilder>( + getOutputInfo(), getParentForChildren(), isClean()); + outputInfo_ = null; + } + return outputInfoBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.BatchPredictOperationMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.BatchPredictOperationMetadata) + private static final com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata(); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public BatchPredictOperationMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new BatchPredictOperationMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOperationMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOperationMetadataOrBuilder.java new file mode 100644 index 000000000..659f54779 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOperationMetadataOrBuilder.java @@ -0,0 +1,106 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/operations.proto + +package com.google.cloud.automl.v1beta1; + +public interface BatchPredictOperationMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.BatchPredictOperationMetadata) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Output only. The input config that was given upon starting this
+   * batch predict operation.
+   *
+ * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1; + * + * @return Whether the inputConfig field is set. + */ + boolean hasInputConfig(); + /** + * + * + * 
+   * Output only. The input config that was given upon starting this
+   * batch predict operation.
+   *
+ * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1; + * + * @return The inputConfig. + */ + com.google.cloud.automl.v1beta1.BatchPredictInputConfig getInputConfig(); + /** + * + * + * 
+   * Output only. The input config that was given upon starting this
+   * batch predict operation.
+   *
+ * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1; + */ + com.google.cloud.automl.v1beta1.BatchPredictInputConfigOrBuilder getInputConfigOrBuilder(); + + /** + * + * + * 
+   * Output only. Information further describing this batch predict's output.
+   *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2; + * + * + * @return Whether the outputInfo field is set. + */ + boolean hasOutputInfo(); + /** + * + * + * 
+   * Output only. Information further describing this batch predict's output.
+   *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2; + * + * + * @return The outputInfo. + */ + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo + getOutputInfo(); + /** + * + * + * 
+   * Output only. Information further describing this batch predict's output.
+   *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2; + * + */ + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfoOrBuilder + getOutputInfoOrBuilder(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOutputConfig.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOutputConfig.java new file mode 100644 index 000000000..376295d0e --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOutputConfig.java @@ -0,0 +1,1634 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/io.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Output configuration for BatchPredict Action.
+ * As destination the
+ * [gcs_destination][google.cloud.automl.v1beta1.BatchPredictOutputConfig.gcs_destination]
+ * must be set unless specified otherwise for a domain. If gcs_destination is
+ * set then in the given directory a new directory is created. Its name
+ * will be
+ * "prediction-<model-display-name>-<timestamp-of-prediction-call>",
+ * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. The contents
+ * of it depends on the ML problem the predictions are made for.
+ *  *  For Image Classification:
+ *         In the created directory files `image_classification_1.jsonl`,
+ *         `image_classification_2.jsonl`,...,`image_classification_N.jsonl`
+ *         will be created, where N may be 1, and depends on the
+ *         total number of the successfully predicted images and annotations.
+ *         A single image will be listed only once with all its annotations,
+ *         and its annotations will never be split across files.
+ *         Each .JSONL file will contain, per line, a JSON representation of a
+ *         proto that wraps image's "ID" : "<id_value>" followed by a list of
+ *         zero or more AnnotationPayload protos (called annotations), which
+ *         have classification detail populated.
+ *         If prediction for any image failed (partially or completely), then an
+ *         additional `errors_1.jsonl`, `errors_2.jsonl`,..., `errors_N.jsonl`
+ *         files will be created (N depends on total number of failed
+ *         predictions). These files will have a JSON representation of a proto
+ *         that wraps the same "ID" : "<id_value>" but here followed by
+ *         exactly one
+ * [`google.rpc.Status`](https:
+ * //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto)
+ *         containing only `code` and `message`fields.
+ *  *  For Image Object Detection:
+ *         In the created directory files `image_object_detection_1.jsonl`,
+ *         `image_object_detection_2.jsonl`,...,`image_object_detection_N.jsonl`
+ *         will be created, where N may be 1, and depends on the
+ *         total number of the successfully predicted images and annotations.
+ *         Each .JSONL file will contain, per line, a JSON representation of a
+ *         proto that wraps image's "ID" : "<id_value>" followed by a list of
+ *         zero or more AnnotationPayload protos (called annotations), which
+ *         have image_object_detection detail populated. A single image will
+ *         be listed only once with all its annotations, and its annotations
+ *         will never be split across files.
+ *         If prediction for any image failed (partially or completely), then
+ *         additional `errors_1.jsonl`, `errors_2.jsonl`,..., `errors_N.jsonl`
+ *         files will be created (N depends on total number of failed
+ *         predictions). These files will have a JSON representation of a proto
+ *         that wraps the same "ID" : "<id_value>" but here followed by
+ *         exactly one
+ * [`google.rpc.Status`](https:
+ * //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto)
+ *         containing only `code` and `message`fields.
+ *  *  For Video Classification:
+ *         In the created directory a video_classification.csv file, and a .JSON
+ *         file per each video classification requested in the input (i.e. each
+ *         line in given CSV(s)), will be created.
+ *         The format of video_classification.csv is:
+ * GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END,JSON_FILE_NAME,STATUS
+ *         where:
+ *         GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END = matches 1 to 1
+ *             the prediction input lines (i.e. video_classification.csv has
+ *             precisely the same number of lines as the prediction input had.)
+ *         JSON_FILE_NAME = Name of .JSON file in the output directory, which
+ *             contains prediction responses for the video time segment.
+ *         STATUS = "OK" if prediction completed successfully, or an error code
+ *             with message otherwise. If STATUS is not "OK" then the .JSON file
+ *             for that line may not exist or be empty.
+ *         Each .JSON file, assuming STATUS is "OK", will contain a list of
+ *         AnnotationPayload protos in JSON format, which are the predictions
+ *         for the video time segment the file is assigned to in the
+ *         video_classification.csv. All AnnotationPayload protos will have
+ *         video_classification field set, and will be sorted by
+ *         video_classification.type field (note that the returned types are
+ *         governed by `classifaction_types` parameter in
+ *         [PredictService.BatchPredictRequest.params][]).
+ *  *  For Video Object Tracking:
+ *         In the created directory a video_object_tracking.csv file will be
+ *         created, and multiple files video_object_trackinng_1.json,
+ *         video_object_trackinng_2.json,..., video_object_trackinng_N.json,
+ *         where N is the number of requests in the input (i.e. the number of
+ *         lines in given CSV(s)).
+ *         The format of video_object_tracking.csv is:
+ * GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END,JSON_FILE_NAME,STATUS
+ *         where:
+ *         GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END = matches 1 to 1
+ *             the prediction input lines (i.e. video_object_tracking.csv has
+ *             precisely the same number of lines as the prediction input had.)
+ *         JSON_FILE_NAME = Name of .JSON file in the output directory, which
+ *             contains prediction responses for the video time segment.
+ *         STATUS = "OK" if prediction completed successfully, or an error
+ *             code with message otherwise. If STATUS is not "OK" then the .JSON
+ *             file for that line may not exist or be empty.
+ *         Each .JSON file, assuming STATUS is "OK", will contain a list of
+ *         AnnotationPayload protos in JSON format, which are the predictions
+ *         for each frame of the video time segment the file is assigned to in
+ *         video_object_tracking.csv. All AnnotationPayload protos will have
+ *         video_object_tracking field set.
+ *  *  For Text Classification:
+ *         In the created directory files `text_classification_1.jsonl`,
+ *         `text_classification_2.jsonl`,...,`text_classification_N.jsonl`
+ *         will be created, where N may be 1, and depends on the
+ *         total number of inputs and annotations found.
+ *         Each .JSONL file will contain, per line, a JSON representation of a
+ *         proto that wraps input text snippet or input text file and a list of
+ *         zero or more AnnotationPayload protos (called annotations), which
+ *         have classification detail populated. A single text snippet or file
+ *         will be listed only once with all its annotations, and its
+ *         annotations will never be split across files.
+ *         If prediction for any text snippet or file failed (partially or
+ *         completely), then additional `errors_1.jsonl`, `errors_2.jsonl`,...,
+ *         `errors_N.jsonl` files will be created (N depends on total number of
+ *         failed predictions). These files will have a JSON representation of a
+ *         proto that wraps input text snippet or input text file followed by
+ *         exactly one
+ * [`google.rpc.Status`](https:
+ * //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto)
+ *         containing only `code` and `message`.
+ *  *  For Text Sentiment:
+ *         In the created directory files `text_sentiment_1.jsonl`,
+ *         `text_sentiment_2.jsonl`,...,`text_sentiment_N.jsonl`
+ *         will be created, where N may be 1, and depends on the
+ *         total number of inputs and annotations found.
+ *         Each .JSONL file will contain, per line, a JSON representation of a
+ *         proto that wraps input text snippet or input text file and a list of
+ *         zero or more AnnotationPayload protos (called annotations), which
+ *         have text_sentiment detail populated. A single text snippet or file
+ *         will be listed only once with all its annotations, and its
+ *         annotations will never be split across files.
+ *         If prediction for any text snippet or file failed (partially or
+ *         completely), then additional `errors_1.jsonl`, `errors_2.jsonl`,...,
+ *         `errors_N.jsonl` files will be created (N depends on total number of
+ *         failed predictions). These files will have a JSON representation of a
+ *         proto that wraps input text snippet or input text file followed by
+ *         exactly one
+ * [`google.rpc.Status`](https:
+ * //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto)
+ *         containing only `code` and `message`.
+ *   *  For Text Extraction:
+ *         In the created directory files `text_extraction_1.jsonl`,
+ *         `text_extraction_2.jsonl`,...,`text_extraction_N.jsonl`
+ *         will be created, where N may be 1, and depends on the
+ *         total number of inputs and annotations found.
+ *         The contents of these .JSONL file(s) depend on whether the input
+ *         used inline text, or documents.
+ *         If input was inline, then each .JSONL file will contain, per line,
+ *           a JSON representation of a proto that wraps given in request text
+ *           snippet's "id" (if specified), followed by input text snippet,
+ *           and a list of zero or more
+ *           AnnotationPayload protos (called annotations), which have
+ *           text_extraction detail populated. A single text snippet will be
+ *           listed only once with all its annotations, and its annotations will
+ *           never be split across files.
+ *         If input used documents, then each .JSONL file will contain, per
+ *           line, a JSON representation of a proto that wraps given in request
+ *           document proto, followed by its OCR-ed representation in the form
+ *           of a text snippet, finally followed by a list of zero or more
+ *           AnnotationPayload protos (called annotations), which have
+ *           text_extraction detail populated and refer, via their indices, to
+ *           the OCR-ed text snippet. A single document (and its text snippet)
+ *           will be listed only once with all its annotations, and its
+ *           annotations will never be split across files.
+ *         If prediction for any text snippet failed (partially or completely),
+ *         then additional `errors_1.jsonl`, `errors_2.jsonl`,...,
+ *         `errors_N.jsonl` files will be created (N depends on total number of
+ *         failed predictions). These files will have a JSON representation of a
+ *         proto that wraps either the "id" : "<id_value>" (in case of inline)
+ *         or the document proto (in case of document) but here followed by
+ *         exactly one
+ * [`google.rpc.Status`](https:
+ * //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto)
+ *         containing only `code` and `message`.
+ *  *  For Tables:
+ *         Output depends on whether
+ * [gcs_destination][google.cloud.automl.v1beta1.BatchPredictOutputConfig.gcs_destination]
+ *         or
+ * [bigquery_destination][google.cloud.automl.v1beta1.BatchPredictOutputConfig.bigquery_destination]
+ *         is set (either is allowed).
+ *         GCS case:
+ *           In the created directory files `tables_1.csv`, `tables_2.csv`,...,
+ *           `tables_N.csv` will be created, where N may be 1, and depends on
+ *           the total number of the successfully predicted rows.
+ *           For all CLASSIFICATION
+ * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]:
+ *             Each .csv file will contain a header, listing all columns'
+ * [display_name-s][google.cloud.automl.v1beta1.ColumnSpec.display_name]
+ *             given on input followed by M target column names in the format of
+ * "<[target_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+ * [display_name][google.cloud.automl.v1beta1.ColumnSpec.display_name]>_<target
+ *             value>_score" where M is the number of distinct target values,
+ *             i.e. number of distinct values in the target column of the table
+ *             used to train the model. Subsequent lines will contain the
+ *             respective values of successfully predicted rows, with the last,
+ *             i.e. the target, columns having the corresponding prediction
+ *             [scores][google.cloud.automl.v1beta1.TablesAnnotation.score].
+ *           For REGRESSION and FORECASTING
+ * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]:
+ *             Each .csv file will contain a header, listing all columns'
+ *             [display_name-s][google.cloud.automl.v1beta1.display_name] given
+ *             on input followed by the predicted target column with name in the
+ *             format of
+ * "predicted_<[target_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+ * [display_name][google.cloud.automl.v1beta1.ColumnSpec.display_name]>"
+ *             Subsequent lines will contain the respective values of
+ *             successfully predicted rows, with the last, i.e. the target,
+ *             column having the predicted target value.
+ *             If prediction for any rows failed, then an additional
+ *             `errors_1.csv`, `errors_2.csv`,..., `errors_N.csv` will be
+ *             created (N depends on total number of failed rows). These files
+ *             will have analogous format as `tables_*.csv`, but always with a
+ *             single target column having
+ * [`google.rpc.Status`](https:
+ * //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto)
+ *             represented as a JSON string, and containing only `code` and
+ *             `message`.
+ *         BigQuery case:
+ * [bigquery_destination][google.cloud.automl.v1beta1.OutputConfig.bigquery_destination]
+ *           pointing to a BigQuery project must be set. In the given project a
+ *           new dataset will be created with name
+ *           `prediction_<model-display-name>_<timestamp-of-prediction-call>`
+ *           where <model-display-name> will be made
+ *           BigQuery-dataset-name compatible (e.g. most special characters will
+ *           become underscores), and timestamp will be in
+ *           YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
+ *           two tables will be created, `predictions`, and `errors`.
+ *           The `predictions` table's column names will be the input columns'
+ * [display_name-s][google.cloud.automl.v1beta1.ColumnSpec.display_name]
+ *           followed by the target column with name in the format of
+ * "predicted_<[target_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+ * [display_name][google.cloud.automl.v1beta1.ColumnSpec.display_name]>"
+ *           The input feature columns will contain the respective values of
+ *           successfully predicted rows, with the target column having an
+ *           ARRAY of
+ * [AnnotationPayloads][google.cloud.automl.v1beta1.AnnotationPayload],
+ *           represented as STRUCT-s, containing
+ *           [TablesAnnotation][google.cloud.automl.v1beta1.TablesAnnotation].
+ *           The `errors` table contains rows for which the prediction has
+ *           failed, it has analogous input columns while the target column name
+ *           is in the format of
+ * "errors_<[target_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+ * [display_name][google.cloud.automl.v1beta1.ColumnSpec.display_name]>",
+ *           and as a value has
+ * [`google.rpc.Status`](https:
+ * //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto)
+ *           represented as a STRUCT, and containing only `code` and `message`.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.BatchPredictOutputConfig} + */ +public final class BatchPredictOutputConfig extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.BatchPredictOutputConfig) + BatchPredictOutputConfigOrBuilder { + private static final long serialVersionUID = 0L; + // Use BatchPredictOutputConfig.newBuilder() to construct. + private BatchPredictOutputConfig(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private BatchPredictOutputConfig() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new BatchPredictOutputConfig(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private BatchPredictOutputConfig( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + com.google.cloud.automl.v1beta1.GcsDestination.Builder subBuilder = null; + if (destinationCase_ == 1) { + subBuilder = + ((com.google.cloud.automl.v1beta1.GcsDestination) destination_).toBuilder(); + } + destination_ = + input.readMessage( + com.google.cloud.automl.v1beta1.GcsDestination.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.GcsDestination) destination_); + destination_ = subBuilder.buildPartial(); + } + destinationCase_ = 1; + break; + } + case 18: + { + com.google.cloud.automl.v1beta1.BigQueryDestination.Builder subBuilder = null; + if (destinationCase_ == 2) { + subBuilder = + ((com.google.cloud.automl.v1beta1.BigQueryDestination) destination_) + .toBuilder(); + } + destination_ = + input.readMessage( + com.google.cloud.automl.v1beta1.BigQueryDestination.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_); + destination_ = subBuilder.buildPartial(); + } + destinationCase_ = 2; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_BatchPredictOutputConfig_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_BatchPredictOutputConfig_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.class, + com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.Builder.class); + } + + private int destinationCase_ = 0; + private java.lang.Object destination_; + + public enum DestinationCase + implements + com.google.protobuf.Internal.EnumLite, + com.google.protobuf.AbstractMessage.InternalOneOfEnum { + GCS_DESTINATION(1), + BIGQUERY_DESTINATION(2), + DESTINATION_NOT_SET(0); + private final int value; + + private DestinationCase(int value) { + this.value = value; + } + /** + * @param value The number of the enum to look for. + * @return The enum associated with the given number. + * @deprecated Use {@link #forNumber(int)} instead. + */ + @java.lang.Deprecated + public static DestinationCase valueOf(int value) { + return forNumber(value); + } + + public static DestinationCase forNumber(int value) { + switch (value) { + case 1: + return GCS_DESTINATION; + case 2: + return BIGQUERY_DESTINATION; + case 0: + return DESTINATION_NOT_SET; + default: + return null; + } + } + + public int getNumber() { + return this.value; + } + }; + + public DestinationCase getDestinationCase() { + return DestinationCase.forNumber(destinationCase_); + } + + public static final int GCS_DESTINATION_FIELD_NUMBER = 1; + /** + * + * + * 
+   * The Google Cloud Storage location of the directory where the output is to
+   * be written to.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + * + * @return Whether the gcsDestination field is set. + */ + public boolean hasGcsDestination() { + return destinationCase_ == 1; + } + /** + * + * + * 
+   * The Google Cloud Storage location of the directory where the output is to
+   * be written to.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + * + * @return The gcsDestination. + */ + public com.google.cloud.automl.v1beta1.GcsDestination getGcsDestination() { + if (destinationCase_ == 1) { + return (com.google.cloud.automl.v1beta1.GcsDestination) destination_; + } + return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance(); + } + /** + * + * + * 
+   * The Google Cloud Storage location of the directory where the output is to
+   * be written to.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + */ + public com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder getGcsDestinationOrBuilder() { + if (destinationCase_ == 1) { + return (com.google.cloud.automl.v1beta1.GcsDestination) destination_; + } + return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance(); + } + + public static final int BIGQUERY_DESTINATION_FIELD_NUMBER = 2; + /** + * + * + * 
+   * The BigQuery location where the output is to be written to.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + * + * @return Whether the bigqueryDestination field is set. + */ + public boolean hasBigqueryDestination() { + return destinationCase_ == 2; + } + /** + * + * + * 
+   * The BigQuery location where the output is to be written to.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + * + * @return The bigqueryDestination. + */ + public com.google.cloud.automl.v1beta1.BigQueryDestination getBigqueryDestination() { + if (destinationCase_ == 2) { + return (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_; + } + return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance(); + } + /** + * + * + * 
+   * The BigQuery location where the output is to be written to.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + */ + public com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder + getBigqueryDestinationOrBuilder() { + if (destinationCase_ == 2) { + return (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_; + } + return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (destinationCase_ == 1) { + output.writeMessage(1, (com.google.cloud.automl.v1beta1.GcsDestination) destination_); + } + if (destinationCase_ == 2) { + output.writeMessage(2, (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (destinationCase_ == 1) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 1, (com.google.cloud.automl.v1beta1.GcsDestination) destination_); + } + if (destinationCase_ == 2) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 2, (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.BatchPredictOutputConfig)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.BatchPredictOutputConfig other = + (com.google.cloud.automl.v1beta1.BatchPredictOutputConfig) obj; + + if (!getDestinationCase().equals(other.getDestinationCase())) return false; + switch (destinationCase_) { + case 1: + if (!getGcsDestination().equals(other.getGcsDestination())) return false; + break; + case 2: + if (!getBigqueryDestination().equals(other.getBigqueryDestination())) return false; + break; + case 0: + default: + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + switch (destinationCase_) { + case 1: + hash = (37 * hash) + GCS_DESTINATION_FIELD_NUMBER; + hash = (53 * hash) + getGcsDestination().hashCode(); + break; + case 2: + hash = (37 * hash) + BIGQUERY_DESTINATION_FIELD_NUMBER; + hash = (53 * hash) + getBigqueryDestination().hashCode(); + break; + case 0: + default: + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOutputConfig parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOutputConfig parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOutputConfig parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOutputConfig parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOutputConfig parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOutputConfig parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOutputConfig parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOutputConfig parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOutputConfig parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOutputConfig parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOutputConfig parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOutputConfig parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.BatchPredictOutputConfig prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Output configuration for BatchPredict Action.
+   * As destination the
+   * [gcs_destination][google.cloud.automl.v1beta1.BatchPredictOutputConfig.gcs_destination]
+   * must be set unless specified otherwise for a domain. If gcs_destination is
+   * set then in the given directory a new directory is created. Its name
+   * will be
+   * "prediction-<model-display-name>-<timestamp-of-prediction-call>",
+   * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. The contents
+   * of it depends on the ML problem the predictions are made for.
+   *  *  For Image Classification:
+   *         In the created directory files `image_classification_1.jsonl`,
+   *         `image_classification_2.jsonl`,...,`image_classification_N.jsonl`
+   *         will be created, where N may be 1, and depends on the
+   *         total number of the successfully predicted images and annotations.
+   *         A single image will be listed only once with all its annotations,
+   *         and its annotations will never be split across files.
+   *         Each .JSONL file will contain, per line, a JSON representation of a
+   *         proto that wraps image's "ID" : "<id_value>" followed by a list of
+   *         zero or more AnnotationPayload protos (called annotations), which
+   *         have classification detail populated.
+   *         If prediction for any image failed (partially or completely), then an
+   *         additional `errors_1.jsonl`, `errors_2.jsonl`,..., `errors_N.jsonl`
+   *         files will be created (N depends on total number of failed
+   *         predictions). These files will have a JSON representation of a proto
+   *         that wraps the same "ID" : "<id_value>" but here followed by
+   *         exactly one
+   * [`google.rpc.Status`](https:
+   * //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto)
+   *         containing only `code` and `message`fields.
+   *  *  For Image Object Detection:
+   *         In the created directory files `image_object_detection_1.jsonl`,
+   *         `image_object_detection_2.jsonl`,...,`image_object_detection_N.jsonl`
+   *         will be created, where N may be 1, and depends on the
+   *         total number of the successfully predicted images and annotations.
+   *         Each .JSONL file will contain, per line, a JSON representation of a
+   *         proto that wraps image's "ID" : "<id_value>" followed by a list of
+   *         zero or more AnnotationPayload protos (called annotations), which
+   *         have image_object_detection detail populated. A single image will
+   *         be listed only once with all its annotations, and its annotations
+   *         will never be split across files.
+   *         If prediction for any image failed (partially or completely), then
+   *         additional `errors_1.jsonl`, `errors_2.jsonl`,..., `errors_N.jsonl`
+   *         files will be created (N depends on total number of failed
+   *         predictions). These files will have a JSON representation of a proto
+   *         that wraps the same "ID" : "<id_value>" but here followed by
+   *         exactly one
+   * [`google.rpc.Status`](https:
+   * //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto)
+   *         containing only `code` and `message`fields.
+   *  *  For Video Classification:
+   *         In the created directory a video_classification.csv file, and a .JSON
+   *         file per each video classification requested in the input (i.e. each
+   *         line in given CSV(s)), will be created.
+   *         The format of video_classification.csv is:
+   * GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END,JSON_FILE_NAME,STATUS
+   *         where:
+   *         GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END = matches 1 to 1
+   *             the prediction input lines (i.e. video_classification.csv has
+   *             precisely the same number of lines as the prediction input had.)
+   *         JSON_FILE_NAME = Name of .JSON file in the output directory, which
+   *             contains prediction responses for the video time segment.
+   *         STATUS = "OK" if prediction completed successfully, or an error code
+   *             with message otherwise. If STATUS is not "OK" then the .JSON file
+   *             for that line may not exist or be empty.
+   *         Each .JSON file, assuming STATUS is "OK", will contain a list of
+   *         AnnotationPayload protos in JSON format, which are the predictions
+   *         for the video time segment the file is assigned to in the
+   *         video_classification.csv. All AnnotationPayload protos will have
+   *         video_classification field set, and will be sorted by
+   *         video_classification.type field (note that the returned types are
+   *         governed by `classifaction_types` parameter in
+   *         [PredictService.BatchPredictRequest.params][]).
+   *  *  For Video Object Tracking:
+   *         In the created directory a video_object_tracking.csv file will be
+   *         created, and multiple files video_object_trackinng_1.json,
+   *         video_object_trackinng_2.json,..., video_object_trackinng_N.json,
+   *         where N is the number of requests in the input (i.e. the number of
+   *         lines in given CSV(s)).
+   *         The format of video_object_tracking.csv is:
+   * GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END,JSON_FILE_NAME,STATUS
+   *         where:
+   *         GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END = matches 1 to 1
+   *             the prediction input lines (i.e. video_object_tracking.csv has
+   *             precisely the same number of lines as the prediction input had.)
+   *         JSON_FILE_NAME = Name of .JSON file in the output directory, which
+   *             contains prediction responses for the video time segment.
+   *         STATUS = "OK" if prediction completed successfully, or an error
+   *             code with message otherwise. If STATUS is not "OK" then the .JSON
+   *             file for that line may not exist or be empty.
+   *         Each .JSON file, assuming STATUS is "OK", will contain a list of
+   *         AnnotationPayload protos in JSON format, which are the predictions
+   *         for each frame of the video time segment the file is assigned to in
+   *         video_object_tracking.csv. All AnnotationPayload protos will have
+   *         video_object_tracking field set.
+   *  *  For Text Classification:
+   *         In the created directory files `text_classification_1.jsonl`,
+   *         `text_classification_2.jsonl`,...,`text_classification_N.jsonl`
+   *         will be created, where N may be 1, and depends on the
+   *         total number of inputs and annotations found.
+   *         Each .JSONL file will contain, per line, a JSON representation of a
+   *         proto that wraps input text snippet or input text file and a list of
+   *         zero or more AnnotationPayload protos (called annotations), which
+   *         have classification detail populated. A single text snippet or file
+   *         will be listed only once with all its annotations, and its
+   *         annotations will never be split across files.
+   *         If prediction for any text snippet or file failed (partially or
+   *         completely), then additional `errors_1.jsonl`, `errors_2.jsonl`,...,
+   *         `errors_N.jsonl` files will be created (N depends on total number of
+   *         failed predictions). These files will have a JSON representation of a
+   *         proto that wraps input text snippet or input text file followed by
+   *         exactly one
+   * [`google.rpc.Status`](https:
+   * //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto)
+   *         containing only `code` and `message`.
+   *  *  For Text Sentiment:
+   *         In the created directory files `text_sentiment_1.jsonl`,
+   *         `text_sentiment_2.jsonl`,...,`text_sentiment_N.jsonl`
+   *         will be created, where N may be 1, and depends on the
+   *         total number of inputs and annotations found.
+   *         Each .JSONL file will contain, per line, a JSON representation of a
+   *         proto that wraps input text snippet or input text file and a list of
+   *         zero or more AnnotationPayload protos (called annotations), which
+   *         have text_sentiment detail populated. A single text snippet or file
+   *         will be listed only once with all its annotations, and its
+   *         annotations will never be split across files.
+   *         If prediction for any text snippet or file failed (partially or
+   *         completely), then additional `errors_1.jsonl`, `errors_2.jsonl`,...,
+   *         `errors_N.jsonl` files will be created (N depends on total number of
+   *         failed predictions). These files will have a JSON representation of a
+   *         proto that wraps input text snippet or input text file followed by
+   *         exactly one
+   * [`google.rpc.Status`](https:
+   * //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto)
+   *         containing only `code` and `message`.
+   *   *  For Text Extraction:
+   *         In the created directory files `text_extraction_1.jsonl`,
+   *         `text_extraction_2.jsonl`,...,`text_extraction_N.jsonl`
+   *         will be created, where N may be 1, and depends on the
+   *         total number of inputs and annotations found.
+   *         The contents of these .JSONL file(s) depend on whether the input
+   *         used inline text, or documents.
+   *         If input was inline, then each .JSONL file will contain, per line,
+   *           a JSON representation of a proto that wraps given in request text
+   *           snippet's "id" (if specified), followed by input text snippet,
+   *           and a list of zero or more
+   *           AnnotationPayload protos (called annotations), which have
+   *           text_extraction detail populated. A single text snippet will be
+   *           listed only once with all its annotations, and its annotations will
+   *           never be split across files.
+   *         If input used documents, then each .JSONL file will contain, per
+   *           line, a JSON representation of a proto that wraps given in request
+   *           document proto, followed by its OCR-ed representation in the form
+   *           of a text snippet, finally followed by a list of zero or more
+   *           AnnotationPayload protos (called annotations), which have
+   *           text_extraction detail populated and refer, via their indices, to
+   *           the OCR-ed text snippet. A single document (and its text snippet)
+   *           will be listed only once with all its annotations, and its
+   *           annotations will never be split across files.
+   *         If prediction for any text snippet failed (partially or completely),
+   *         then additional `errors_1.jsonl`, `errors_2.jsonl`,...,
+   *         `errors_N.jsonl` files will be created (N depends on total number of
+   *         failed predictions). These files will have a JSON representation of a
+   *         proto that wraps either the "id" : "<id_value>" (in case of inline)
+   *         or the document proto (in case of document) but here followed by
+   *         exactly one
+   * [`google.rpc.Status`](https:
+   * //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto)
+   *         containing only `code` and `message`.
+   *  *  For Tables:
+   *         Output depends on whether
+   * [gcs_destination][google.cloud.automl.v1beta1.BatchPredictOutputConfig.gcs_destination]
+   *         or
+   * [bigquery_destination][google.cloud.automl.v1beta1.BatchPredictOutputConfig.bigquery_destination]
+   *         is set (either is allowed).
+   *         GCS case:
+   *           In the created directory files `tables_1.csv`, `tables_2.csv`,...,
+   *           `tables_N.csv` will be created, where N may be 1, and depends on
+   *           the total number of the successfully predicted rows.
+   *           For all CLASSIFICATION
+   * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]:
+   *             Each .csv file will contain a header, listing all columns'
+   * [display_name-s][google.cloud.automl.v1beta1.ColumnSpec.display_name]
+   *             given on input followed by M target column names in the format of
+   * "<[target_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * [display_name][google.cloud.automl.v1beta1.ColumnSpec.display_name]>_<target
+   *             value>_score" where M is the number of distinct target values,
+   *             i.e. number of distinct values in the target column of the table
+   *             used to train the model. Subsequent lines will contain the
+   *             respective values of successfully predicted rows, with the last,
+   *             i.e. the target, columns having the corresponding prediction
+   *             [scores][google.cloud.automl.v1beta1.TablesAnnotation.score].
+   *           For REGRESSION and FORECASTING
+   * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]:
+   *             Each .csv file will contain a header, listing all columns'
+   *             [display_name-s][google.cloud.automl.v1beta1.display_name] given
+   *             on input followed by the predicted target column with name in the
+   *             format of
+   * "predicted_<[target_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * [display_name][google.cloud.automl.v1beta1.ColumnSpec.display_name]>"
+   *             Subsequent lines will contain the respective values of
+   *             successfully predicted rows, with the last, i.e. the target,
+   *             column having the predicted target value.
+   *             If prediction for any rows failed, then an additional
+   *             `errors_1.csv`, `errors_2.csv`,..., `errors_N.csv` will be
+   *             created (N depends on total number of failed rows). These files
+   *             will have analogous format as `tables_*.csv`, but always with a
+   *             single target column having
+   * [`google.rpc.Status`](https:
+   * //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto)
+   *             represented as a JSON string, and containing only `code` and
+   *             `message`.
+   *         BigQuery case:
+   * [bigquery_destination][google.cloud.automl.v1beta1.OutputConfig.bigquery_destination]
+   *           pointing to a BigQuery project must be set. In the given project a
+   *           new dataset will be created with name
+   *           `prediction_<model-display-name>_<timestamp-of-prediction-call>`
+   *           where <model-display-name> will be made
+   *           BigQuery-dataset-name compatible (e.g. most special characters will
+   *           become underscores), and timestamp will be in
+   *           YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
+   *           two tables will be created, `predictions`, and `errors`.
+   *           The `predictions` table's column names will be the input columns'
+   * [display_name-s][google.cloud.automl.v1beta1.ColumnSpec.display_name]
+   *           followed by the target column with name in the format of
+   * "predicted_<[target_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * [display_name][google.cloud.automl.v1beta1.ColumnSpec.display_name]>"
+   *           The input feature columns will contain the respective values of
+   *           successfully predicted rows, with the target column having an
+   *           ARRAY of
+   * [AnnotationPayloads][google.cloud.automl.v1beta1.AnnotationPayload],
+   *           represented as STRUCT-s, containing
+   *           [TablesAnnotation][google.cloud.automl.v1beta1.TablesAnnotation].
+   *           The `errors` table contains rows for which the prediction has
+   *           failed, it has analogous input columns while the target column name
+   *           is in the format of
+   * "errors_<[target_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * [display_name][google.cloud.automl.v1beta1.ColumnSpec.display_name]>",
+   *           and as a value has
+   * [`google.rpc.Status`](https:
+   * //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto)
+   *           represented as a STRUCT, and containing only `code` and `message`.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.BatchPredictOutputConfig} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.BatchPredictOutputConfig) + com.google.cloud.automl.v1beta1.BatchPredictOutputConfigOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_BatchPredictOutputConfig_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_BatchPredictOutputConfig_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.class, + com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + destinationCase_ = 0; + destination_ = null; + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_BatchPredictOutputConfig_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BatchPredictOutputConfig getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BatchPredictOutputConfig build() { + com.google.cloud.automl.v1beta1.BatchPredictOutputConfig result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BatchPredictOutputConfig buildPartial() { + com.google.cloud.automl.v1beta1.BatchPredictOutputConfig result = + new com.google.cloud.automl.v1beta1.BatchPredictOutputConfig(this); + if (destinationCase_ == 1) { + if (gcsDestinationBuilder_ == null) { + result.destination_ = destination_; + } else { + result.destination_ = gcsDestinationBuilder_.build(); + } + } + if (destinationCase_ == 2) { + if (bigqueryDestinationBuilder_ == null) { + result.destination_ = destination_; + } else { + result.destination_ = bigqueryDestinationBuilder_.build(); + } + } + result.destinationCase_ = destinationCase_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.BatchPredictOutputConfig) { + return mergeFrom((com.google.cloud.automl.v1beta1.BatchPredictOutputConfig) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.BatchPredictOutputConfig other) { + if (other == com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.getDefaultInstance()) + return this; + switch (other.getDestinationCase()) { + case GCS_DESTINATION: + { + mergeGcsDestination(other.getGcsDestination()); + break; + } + case BIGQUERY_DESTINATION: + { + mergeBigqueryDestination(other.getBigqueryDestination()); + break; + } + case DESTINATION_NOT_SET: + { + break; + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.BatchPredictOutputConfig parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.BatchPredictOutputConfig) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int destinationCase_ = 0; + private java.lang.Object destination_; + + public DestinationCase getDestinationCase() { + return DestinationCase.forNumber(destinationCase_); + } + + public Builder clearDestination() { + destinationCase_ = 0; + destination_ = null; + onChanged(); + return this; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.GcsDestination, + com.google.cloud.automl.v1beta1.GcsDestination.Builder, + com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder> + gcsDestinationBuilder_; + /** + * + * + * 
+     * The Google Cloud Storage location of the directory where the output is to
+     * be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + * + * @return Whether the gcsDestination field is set. + */ + public boolean hasGcsDestination() { + return destinationCase_ == 1; + } + /** + * + * + * 
+     * The Google Cloud Storage location of the directory where the output is to
+     * be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + * + * @return The gcsDestination. + */ + public com.google.cloud.automl.v1beta1.GcsDestination getGcsDestination() { + if (gcsDestinationBuilder_ == null) { + if (destinationCase_ == 1) { + return (com.google.cloud.automl.v1beta1.GcsDestination) destination_; + } + return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance(); + } else { + if (destinationCase_ == 1) { + return gcsDestinationBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The Google Cloud Storage location of the directory where the output is to
+     * be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + */ + public Builder setGcsDestination(com.google.cloud.automl.v1beta1.GcsDestination value) { + if (gcsDestinationBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + destination_ = value; + onChanged(); + } else { + gcsDestinationBuilder_.setMessage(value); + } + destinationCase_ = 1; + return this; + } + /** + * + * + * 
+     * The Google Cloud Storage location of the directory where the output is to
+     * be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + */ + public Builder setGcsDestination( + com.google.cloud.automl.v1beta1.GcsDestination.Builder builderForValue) { + if (gcsDestinationBuilder_ == null) { + destination_ = builderForValue.build(); + onChanged(); + } else { + gcsDestinationBuilder_.setMessage(builderForValue.build()); + } + destinationCase_ = 1; + return this; + } + /** + * + * + * 
+     * The Google Cloud Storage location of the directory where the output is to
+     * be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + */ + public Builder mergeGcsDestination(com.google.cloud.automl.v1beta1.GcsDestination value) { + if (gcsDestinationBuilder_ == null) { + if (destinationCase_ == 1 + && destination_ + != com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance()) { + destination_ = + com.google.cloud.automl.v1beta1.GcsDestination.newBuilder( + (com.google.cloud.automl.v1beta1.GcsDestination) destination_) + .mergeFrom(value) + .buildPartial(); + } else { + destination_ = value; + } + onChanged(); + } else { + if (destinationCase_ == 1) { + gcsDestinationBuilder_.mergeFrom(value); + } + gcsDestinationBuilder_.setMessage(value); + } + destinationCase_ = 1; + return this; + } + /** + * + * + * 
+     * The Google Cloud Storage location of the directory where the output is to
+     * be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + */ + public Builder clearGcsDestination() { + if (gcsDestinationBuilder_ == null) { + if (destinationCase_ == 1) { + destinationCase_ = 0; + destination_ = null; + onChanged(); + } + } else { + if (destinationCase_ == 1) { + destinationCase_ = 0; + destination_ = null; + } + gcsDestinationBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * The Google Cloud Storage location of the directory where the output is to
+     * be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + */ + public com.google.cloud.automl.v1beta1.GcsDestination.Builder getGcsDestinationBuilder() { + return getGcsDestinationFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The Google Cloud Storage location of the directory where the output is to
+     * be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + */ + public com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder getGcsDestinationOrBuilder() { + if ((destinationCase_ == 1) && (gcsDestinationBuilder_ != null)) { + return gcsDestinationBuilder_.getMessageOrBuilder(); + } else { + if (destinationCase_ == 1) { + return (com.google.cloud.automl.v1beta1.GcsDestination) destination_; + } + return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The Google Cloud Storage location of the directory where the output is to
+     * be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.GcsDestination, + com.google.cloud.automl.v1beta1.GcsDestination.Builder, + com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder> + getGcsDestinationFieldBuilder() { + if (gcsDestinationBuilder_ == null) { + if (!(destinationCase_ == 1)) { + destination_ = com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance(); + } + gcsDestinationBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.GcsDestination, + com.google.cloud.automl.v1beta1.GcsDestination.Builder, + com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder>( + (com.google.cloud.automl.v1beta1.GcsDestination) destination_, + getParentForChildren(), + isClean()); + destination_ = null; + } + destinationCase_ = 1; + onChanged(); + ; + return gcsDestinationBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BigQueryDestination, + com.google.cloud.automl.v1beta1.BigQueryDestination.Builder, + com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder> + bigqueryDestinationBuilder_; + /** + * + * + * 
+     * The BigQuery location where the output is to be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + * + * @return Whether the bigqueryDestination field is set. + */ + public boolean hasBigqueryDestination() { + return destinationCase_ == 2; + } + /** + * + * + * 
+     * The BigQuery location where the output is to be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + * + * @return The bigqueryDestination. + */ + public com.google.cloud.automl.v1beta1.BigQueryDestination getBigqueryDestination() { + if (bigqueryDestinationBuilder_ == null) { + if (destinationCase_ == 2) { + return (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_; + } + return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance(); + } else { + if (destinationCase_ == 2) { + return bigqueryDestinationBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The BigQuery location where the output is to be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + */ + public Builder setBigqueryDestination( + com.google.cloud.automl.v1beta1.BigQueryDestination value) { + if (bigqueryDestinationBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + destination_ = value; + onChanged(); + } else { + bigqueryDestinationBuilder_.setMessage(value); + } + destinationCase_ = 2; + return this; + } + /** + * + * + * 
+     * The BigQuery location where the output is to be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + */ + public Builder setBigqueryDestination( + com.google.cloud.automl.v1beta1.BigQueryDestination.Builder builderForValue) { + if (bigqueryDestinationBuilder_ == null) { + destination_ = builderForValue.build(); + onChanged(); + } else { + bigqueryDestinationBuilder_.setMessage(builderForValue.build()); + } + destinationCase_ = 2; + return this; + } + /** + * + * + * 
+     * The BigQuery location where the output is to be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + */ + public Builder mergeBigqueryDestination( + com.google.cloud.automl.v1beta1.BigQueryDestination value) { + if (bigqueryDestinationBuilder_ == null) { + if (destinationCase_ == 2 + && destination_ + != com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance()) { + destination_ = + com.google.cloud.automl.v1beta1.BigQueryDestination.newBuilder( + (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_) + .mergeFrom(value) + .buildPartial(); + } else { + destination_ = value; + } + onChanged(); + } else { + if (destinationCase_ == 2) { + bigqueryDestinationBuilder_.mergeFrom(value); + } + bigqueryDestinationBuilder_.setMessage(value); + } + destinationCase_ = 2; + return this; + } + /** + * + * + * 
+     * The BigQuery location where the output is to be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + */ + public Builder clearBigqueryDestination() { + if (bigqueryDestinationBuilder_ == null) { + if (destinationCase_ == 2) { + destinationCase_ = 0; + destination_ = null; + onChanged(); + } + } else { + if (destinationCase_ == 2) { + destinationCase_ = 0; + destination_ = null; + } + bigqueryDestinationBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * The BigQuery location where the output is to be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + */ + public com.google.cloud.automl.v1beta1.BigQueryDestination.Builder + getBigqueryDestinationBuilder() { + return getBigqueryDestinationFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The BigQuery location where the output is to be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + */ + public com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder + getBigqueryDestinationOrBuilder() { + if ((destinationCase_ == 2) && (bigqueryDestinationBuilder_ != null)) { + return bigqueryDestinationBuilder_.getMessageOrBuilder(); + } else { + if (destinationCase_ == 2) { + return (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_; + } + return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The BigQuery location where the output is to be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BigQueryDestination, + com.google.cloud.automl.v1beta1.BigQueryDestination.Builder, + com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder> + getBigqueryDestinationFieldBuilder() { + if (bigqueryDestinationBuilder_ == null) { + if (!(destinationCase_ == 2)) { + destination_ = com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance(); + } + bigqueryDestinationBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BigQueryDestination, + com.google.cloud.automl.v1beta1.BigQueryDestination.Builder, + com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder>( + (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_, + getParentForChildren(), + isClean()); + destination_ = null; + } + destinationCase_ = 2; + onChanged(); + ; + return bigqueryDestinationBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.BatchPredictOutputConfig) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.BatchPredictOutputConfig) + private static final com.google.cloud.automl.v1beta1.BatchPredictOutputConfig DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.BatchPredictOutputConfig(); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictOutputConfig getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public BatchPredictOutputConfig parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new BatchPredictOutputConfig(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BatchPredictOutputConfig getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOutputConfigOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOutputConfigOrBuilder.java new file mode 100644 index 000000000..5d0e5537a --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOutputConfigOrBuilder.java @@ -0,0 +1,101 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/io.proto + +package com.google.cloud.automl.v1beta1; + +public interface BatchPredictOutputConfigOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.BatchPredictOutputConfig) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * The Google Cloud Storage location of the directory where the output is to
+   * be written to.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + * + * @return Whether the gcsDestination field is set. + */ + boolean hasGcsDestination(); + /** + * + * + * 
+   * The Google Cloud Storage location of the directory where the output is to
+   * be written to.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + * + * @return The gcsDestination. + */ + com.google.cloud.automl.v1beta1.GcsDestination getGcsDestination(); + /** + * + * + * 
+   * The Google Cloud Storage location of the directory where the output is to
+   * be written to.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + */ + com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder getGcsDestinationOrBuilder(); + + /** + * + * + * 
+   * The BigQuery location where the output is to be written to.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + * + * @return Whether the bigqueryDestination field is set. + */ + boolean hasBigqueryDestination(); + /** + * + * + * 
+   * The BigQuery location where the output is to be written to.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + * + * @return The bigqueryDestination. + */ + com.google.cloud.automl.v1beta1.BigQueryDestination getBigqueryDestination(); + /** + * + * + * 
+   * The BigQuery location where the output is to be written to.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + */ + com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder getBigqueryDestinationOrBuilder(); + + public com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.DestinationCase + getDestinationCase(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictRequest.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictRequest.java new file mode 100644 index 000000000..222a30dea --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictRequest.java @@ -0,0 +1,2207 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/prediction_service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [PredictionService.BatchPredict][google.cloud.automl.v1beta1.PredictionService.BatchPredict].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.BatchPredictRequest} + */ +public final class BatchPredictRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.BatchPredictRequest) + BatchPredictRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use BatchPredictRequest.newBuilder() to construct. + private BatchPredictRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private BatchPredictRequest() { + name_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new BatchPredictRequest(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private BatchPredictRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + name_ = s; + break; + } + case 26: + { + com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder subBuilder = null; + if (inputConfig_ != null) { + subBuilder = inputConfig_.toBuilder(); + } + inputConfig_ = + input.readMessage( + com.google.cloud.automl.v1beta1.BatchPredictInputConfig.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(inputConfig_); + inputConfig_ = subBuilder.buildPartial(); + } + + break; + } + case 34: + { + com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.Builder subBuilder = null; + if (outputConfig_ != null) { + subBuilder = outputConfig_.toBuilder(); + } + outputConfig_ = + input.readMessage( + com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(outputConfig_); + outputConfig_ = subBuilder.buildPartial(); + } + + break; + } + case 42: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + params_ = + com.google.protobuf.MapField.newMapField(ParamsDefaultEntryHolder.defaultEntry); + mutable_bitField0_ |= 0x00000001; + } + com.google.protobuf.MapEntry params__ = + input.readMessage( + ParamsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry); + params_.getMutableMap().put(params__.getKey(), params__.getValue()); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.PredictionServiceProto + .internal_static_google_cloud_automl_v1beta1_BatchPredictRequest_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + @java.lang.Override + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 5: + return internalGetParams(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.PredictionServiceProto + .internal_static_google_cloud_automl_v1beta1_BatchPredictRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.BatchPredictRequest.class, + com.google.cloud.automl.v1beta1.BatchPredictRequest.Builder.class); + } + + public static final int NAME_FIELD_NUMBER = 1; + private volatile java.lang.Object name_; + /** + * + * + * 
+   * Required. Name of the model requested to serve the batch prediction.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. Name of the model requested to serve the batch prediction.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int INPUT_CONFIG_FIELD_NUMBER = 3; + private com.google.cloud.automl.v1beta1.BatchPredictInputConfig inputConfig_; + /** + * + * + * 
+   * Required. The input configuration for batch prediction.
+   *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the inputConfig field is set. + */ + public boolean hasInputConfig() { + return inputConfig_ != null; + } + /** + * + * + * 
+   * Required. The input configuration for batch prediction.
+   *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The inputConfig. + */ + public com.google.cloud.automl.v1beta1.BatchPredictInputConfig getInputConfig() { + return inputConfig_ == null + ? com.google.cloud.automl.v1beta1.BatchPredictInputConfig.getDefaultInstance() + : inputConfig_; + } + /** + * + * + * 
+   * Required. The input configuration for batch prediction.
+   *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.BatchPredictInputConfigOrBuilder + getInputConfigOrBuilder() { + return getInputConfig(); + } + + public static final int OUTPUT_CONFIG_FIELD_NUMBER = 4; + private com.google.cloud.automl.v1beta1.BatchPredictOutputConfig outputConfig_; + /** + * + * + * 
+   * Required. The Configuration specifying where output predictions should
+   * be written.
+   *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the outputConfig field is set. + */ + public boolean hasOutputConfig() { + return outputConfig_ != null; + } + /** + * + * + * 
+   * Required. The Configuration specifying where output predictions should
+   * be written.
+   *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The outputConfig. + */ + public com.google.cloud.automl.v1beta1.BatchPredictOutputConfig getOutputConfig() { + return outputConfig_ == null + ? com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.getDefaultInstance() + : outputConfig_; + } + /** + * + * + * 
+   * Required. The Configuration specifying where output predictions should
+   * be written.
+   *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.BatchPredictOutputConfigOrBuilder + getOutputConfigOrBuilder() { + return getOutputConfig(); + } + + public static final int PARAMS_FIELD_NUMBER = 5; + + private static final class ParamsDefaultEntryHolder { + static final com.google.protobuf.MapEntry defaultEntry = + com.google.protobuf.MapEntry.newDefaultInstance( + com.google.cloud.automl.v1beta1.PredictionServiceProto + .internal_static_google_cloud_automl_v1beta1_BatchPredictRequest_ParamsEntry_descriptor, + com.google.protobuf.WireFormat.FieldType.STRING, + "", + com.google.protobuf.WireFormat.FieldType.STRING, + ""); + } + + private com.google.protobuf.MapField params_; + + private com.google.protobuf.MapField internalGetParams() { + if (params_ == null) { + return com.google.protobuf.MapField.emptyMapField(ParamsDefaultEntryHolder.defaultEntry); + } + return params_; + } + + public int getParamsCount() { + return internalGetParams().getMap().size(); + } + /** + * + * + * 
+   * Required. Additional domain-specific parameters for the predictions, any string must
+   * be up to 25000 characters long.
+   * *  For Text Classification:
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *         makes predictions for a text snippet, it will only produce results
+   *         that have at least this confidence score. The default is 0.5.
+   * *  For Image Classification:
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *         makes predictions for an image, it will only produce results that
+   *         have at least this confidence score. The default is 0.5.
+   * *  For Image Object Detection:
+   *    `score_threshold` - (float) When Model detects objects on the image,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be produced per image. Default is 100, the
+   *        requested value may be limited by server.
+   * *  For Video Classification :
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *        makes predictions for a video, it will only produce results that
+   *        have at least this confidence score. The default is 0.5.
+   *    `segment_classification` - (boolean) Set to true to request
+   *        segment-level classification. AutoML Video Intelligence returns
+   *        labels and their confidence scores for the entire segment of the
+   *        video that user specified in the request configuration.
+   *        The default is "true".
+   *    `shot_classification` - (boolean) Set to true to request shot-level
+   *        classification. AutoML Video Intelligence determines the boundaries
+   *        for each camera shot in the entire segment of the video that user
+   *        specified in the request configuration. AutoML Video Intelligence
+   *        then returns labels and their confidence scores for each detected
+   *        shot, along with the start and end time of the shot.
+   *        WARNING: Model evaluation is not done for this classification type,
+   *        the quality of it depends on training data, but there are no metrics
+   *        provided to describe that quality. The default is "false".
+   *    `1s_interval_classification` - (boolean) Set to true to request
+   *        classification for a video at one-second intervals. AutoML Video
+   *        Intelligence returns labels and their confidence scores for each
+   *        second of the entire segment of the video that user specified in the
+   *        request configuration.
+   *        WARNING: Model evaluation is not done for this classification
+   *        type, the quality of it depends on training data, but there are no
+   *        metrics provided to describe that quality. The default is
+   *        "false".
+   * *  For Tables:
+   *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+   *        should be populated in the returned TablesAnnotations. The
+   *        default is false.
+   * *  For Video Object Tracking:
+   *    `score_threshold` - (float) When Model detects objects on video frames,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be returned per frame. Default is 100, the requested
+   *        value may be limited by server.
+   *    `min_bounding_box_size` - (float) Only bounding boxes with shortest edge
+   *      at least that long as a relative value of video frame size will be
+   *      returned. Value in 0 to 1 range. Default is 0.
+   *
+ * + * map<string, string> params = 5 [(.google.api.field_behavior) = REQUIRED]; + */ + public boolean containsParams(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetParams().getMap().containsKey(key); + } + /** Use {@link #getParamsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map getParams() { + return getParamsMap(); + } + /** + * + * + * 
+   * Required. Additional domain-specific parameters for the predictions, any string must
+   * be up to 25000 characters long.
+   * *  For Text Classification:
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *         makes predictions for a text snippet, it will only produce results
+   *         that have at least this confidence score. The default is 0.5.
+   * *  For Image Classification:
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *         makes predictions for an image, it will only produce results that
+   *         have at least this confidence score. The default is 0.5.
+   * *  For Image Object Detection:
+   *    `score_threshold` - (float) When Model detects objects on the image,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be produced per image. Default is 100, the
+   *        requested value may be limited by server.
+   * *  For Video Classification :
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *        makes predictions for a video, it will only produce results that
+   *        have at least this confidence score. The default is 0.5.
+   *    `segment_classification` - (boolean) Set to true to request
+   *        segment-level classification. AutoML Video Intelligence returns
+   *        labels and their confidence scores for the entire segment of the
+   *        video that user specified in the request configuration.
+   *        The default is "true".
+   *    `shot_classification` - (boolean) Set to true to request shot-level
+   *        classification. AutoML Video Intelligence determines the boundaries
+   *        for each camera shot in the entire segment of the video that user
+   *        specified in the request configuration. AutoML Video Intelligence
+   *        then returns labels and their confidence scores for each detected
+   *        shot, along with the start and end time of the shot.
+   *        WARNING: Model evaluation is not done for this classification type,
+   *        the quality of it depends on training data, but there are no metrics
+   *        provided to describe that quality. The default is "false".
+   *    `1s_interval_classification` - (boolean) Set to true to request
+   *        classification for a video at one-second intervals. AutoML Video
+   *        Intelligence returns labels and their confidence scores for each
+   *        second of the entire segment of the video that user specified in the
+   *        request configuration.
+   *        WARNING: Model evaluation is not done for this classification
+   *        type, the quality of it depends on training data, but there are no
+   *        metrics provided to describe that quality. The default is
+   *        "false".
+   * *  For Tables:
+   *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+   *        should be populated in the returned TablesAnnotations. The
+   *        default is false.
+   * *  For Video Object Tracking:
+   *    `score_threshold` - (float) When Model detects objects on video frames,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be returned per frame. Default is 100, the requested
+   *        value may be limited by server.
+   *    `min_bounding_box_size` - (float) Only bounding boxes with shortest edge
+   *      at least that long as a relative value of video frame size will be
+   *      returned. Value in 0 to 1 range. Default is 0.
+   *
+ * + * map<string, string> params = 5 [(.google.api.field_behavior) = REQUIRED]; + */ + public java.util.Map getParamsMap() { + return internalGetParams().getMap(); + } + /** + * + * + * 
+   * Required. Additional domain-specific parameters for the predictions, any string must
+   * be up to 25000 characters long.
+   * *  For Text Classification:
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *         makes predictions for a text snippet, it will only produce results
+   *         that have at least this confidence score. The default is 0.5.
+   * *  For Image Classification:
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *         makes predictions for an image, it will only produce results that
+   *         have at least this confidence score. The default is 0.5.
+   * *  For Image Object Detection:
+   *    `score_threshold` - (float) When Model detects objects on the image,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be produced per image. Default is 100, the
+   *        requested value may be limited by server.
+   * *  For Video Classification :
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *        makes predictions for a video, it will only produce results that
+   *        have at least this confidence score. The default is 0.5.
+   *    `segment_classification` - (boolean) Set to true to request
+   *        segment-level classification. AutoML Video Intelligence returns
+   *        labels and their confidence scores for the entire segment of the
+   *        video that user specified in the request configuration.
+   *        The default is "true".
+   *    `shot_classification` - (boolean) Set to true to request shot-level
+   *        classification. AutoML Video Intelligence determines the boundaries
+   *        for each camera shot in the entire segment of the video that user
+   *        specified in the request configuration. AutoML Video Intelligence
+   *        then returns labels and their confidence scores for each detected
+   *        shot, along with the start and end time of the shot.
+   *        WARNING: Model evaluation is not done for this classification type,
+   *        the quality of it depends on training data, but there are no metrics
+   *        provided to describe that quality. The default is "false".
+   *    `1s_interval_classification` - (boolean) Set to true to request
+   *        classification for a video at one-second intervals. AutoML Video
+   *        Intelligence returns labels and their confidence scores for each
+   *        second of the entire segment of the video that user specified in the
+   *        request configuration.
+   *        WARNING: Model evaluation is not done for this classification
+   *        type, the quality of it depends on training data, but there are no
+   *        metrics provided to describe that quality. The default is
+   *        "false".
+   * *  For Tables:
+   *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+   *        should be populated in the returned TablesAnnotations. The
+   *        default is false.
+   * *  For Video Object Tracking:
+   *    `score_threshold` - (float) When Model detects objects on video frames,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be returned per frame. Default is 100, the requested
+   *        value may be limited by server.
+   *    `min_bounding_box_size` - (float) Only bounding boxes with shortest edge
+   *      at least that long as a relative value of video frame size will be
+   *      returned. Value in 0 to 1 range. Default is 0.
+   *
+ * + * map<string, string> params = 5 [(.google.api.field_behavior) = REQUIRED]; + */ + public java.lang.String getParamsOrDefault(java.lang.String key, java.lang.String defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = internalGetParams().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+   * Required. Additional domain-specific parameters for the predictions, any string must
+   * be up to 25000 characters long.
+   * *  For Text Classification:
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *         makes predictions for a text snippet, it will only produce results
+   *         that have at least this confidence score. The default is 0.5.
+   * *  For Image Classification:
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *         makes predictions for an image, it will only produce results that
+   *         have at least this confidence score. The default is 0.5.
+   * *  For Image Object Detection:
+   *    `score_threshold` - (float) When Model detects objects on the image,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be produced per image. Default is 100, the
+   *        requested value may be limited by server.
+   * *  For Video Classification :
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *        makes predictions for a video, it will only produce results that
+   *        have at least this confidence score. The default is 0.5.
+   *    `segment_classification` - (boolean) Set to true to request
+   *        segment-level classification. AutoML Video Intelligence returns
+   *        labels and their confidence scores for the entire segment of the
+   *        video that user specified in the request configuration.
+   *        The default is "true".
+   *    `shot_classification` - (boolean) Set to true to request shot-level
+   *        classification. AutoML Video Intelligence determines the boundaries
+   *        for each camera shot in the entire segment of the video that user
+   *        specified in the request configuration. AutoML Video Intelligence
+   *        then returns labels and their confidence scores for each detected
+   *        shot, along with the start and end time of the shot.
+   *        WARNING: Model evaluation is not done for this classification type,
+   *        the quality of it depends on training data, but there are no metrics
+   *        provided to describe that quality. The default is "false".
+   *    `1s_interval_classification` - (boolean) Set to true to request
+   *        classification for a video at one-second intervals. AutoML Video
+   *        Intelligence returns labels and their confidence scores for each
+   *        second of the entire segment of the video that user specified in the
+   *        request configuration.
+   *        WARNING: Model evaluation is not done for this classification
+   *        type, the quality of it depends on training data, but there are no
+   *        metrics provided to describe that quality. The default is
+   *        "false".
+   * *  For Tables:
+   *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+   *        should be populated in the returned TablesAnnotations. The
+   *        default is false.
+   * *  For Video Object Tracking:
+   *    `score_threshold` - (float) When Model detects objects on video frames,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be returned per frame. Default is 100, the requested
+   *        value may be limited by server.
+   *    `min_bounding_box_size` - (float) Only bounding boxes with shortest edge
+   *      at least that long as a relative value of video frame size will be
+   *      returned. Value in 0 to 1 range. Default is 0.
+   *
+ * + * map<string, string> params = 5 [(.google.api.field_behavior) = REQUIRED]; + */ + public java.lang.String getParamsOrThrow(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = internalGetParams().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_); + } + if (inputConfig_ != null) { + output.writeMessage(3, getInputConfig()); + } + if (outputConfig_ != null) { + output.writeMessage(4, getOutputConfig()); + } + com.google.protobuf.GeneratedMessageV3.serializeStringMapTo( + output, internalGetParams(), ParamsDefaultEntryHolder.defaultEntry, 5); + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_); + } + if (inputConfig_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, getInputConfig()); + } + if (outputConfig_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, getOutputConfig()); + } + for (java.util.Map.Entry entry : + internalGetParams().getMap().entrySet()) { + com.google.protobuf.MapEntry params__ = + ParamsDefaultEntryHolder.defaultEntry + .newBuilderForType() + .setKey(entry.getKey()) + .setValue(entry.getValue()) + .build(); + size += com.google.protobuf.CodedOutputStream.computeMessageSize(5, params__); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.BatchPredictRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.BatchPredictRequest other = + (com.google.cloud.automl.v1beta1.BatchPredictRequest) obj; + + if (!getName().equals(other.getName())) return false; + if (hasInputConfig() != other.hasInputConfig()) return false; + if (hasInputConfig()) { + if (!getInputConfig().equals(other.getInputConfig())) return false; + } + if (hasOutputConfig() != other.hasOutputConfig()) return false; + if (hasOutputConfig()) { + if (!getOutputConfig().equals(other.getOutputConfig())) return false; + } + if (!internalGetParams().equals(other.internalGetParams())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + NAME_FIELD_NUMBER; + hash = (53 * hash) + getName().hashCode(); + if (hasInputConfig()) { + hash = (37 * hash) + INPUT_CONFIG_FIELD_NUMBER; + hash = (53 * hash) + getInputConfig().hashCode(); + } + if (hasOutputConfig()) { + hash = (37 * hash) + OUTPUT_CONFIG_FIELD_NUMBER; + hash = (53 * hash) + getOutputConfig().hashCode(); + } + if (!internalGetParams().getMap().isEmpty()) { + hash = (37 * hash) + PARAMS_FIELD_NUMBER; + hash = (53 * hash) + internalGetParams().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.BatchPredictRequest parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictRequest parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.BatchPredictRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [PredictionService.BatchPredict][google.cloud.automl.v1beta1.PredictionService.BatchPredict].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.BatchPredictRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.BatchPredictRequest) + com.google.cloud.automl.v1beta1.BatchPredictRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.PredictionServiceProto + .internal_static_google_cloud_automl_v1beta1_BatchPredictRequest_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 5: + return internalGetParams(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMutableMapField(int number) { + switch (number) { + case 5: + return internalGetMutableParams(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.PredictionServiceProto + .internal_static_google_cloud_automl_v1beta1_BatchPredictRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.BatchPredictRequest.class, + com.google.cloud.automl.v1beta1.BatchPredictRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.BatchPredictRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + name_ = ""; + + if (inputConfigBuilder_ == null) { + inputConfig_ = null; + } else { + inputConfig_ = null; + inputConfigBuilder_ = null; + } + if (outputConfigBuilder_ == null) { + outputConfig_ = null; + } else { + outputConfig_ = null; + outputConfigBuilder_ = null; + } + internalGetMutableParams().clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.PredictionServiceProto + .internal_static_google_cloud_automl_v1beta1_BatchPredictRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BatchPredictRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.BatchPredictRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BatchPredictRequest build() { + com.google.cloud.automl.v1beta1.BatchPredictRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BatchPredictRequest buildPartial() { + com.google.cloud.automl.v1beta1.BatchPredictRequest result = + new com.google.cloud.automl.v1beta1.BatchPredictRequest(this); + int from_bitField0_ = bitField0_; + result.name_ = name_; + if (inputConfigBuilder_ == null) { + result.inputConfig_ = inputConfig_; + } else { + result.inputConfig_ = inputConfigBuilder_.build(); + } + if (outputConfigBuilder_ == null) { + result.outputConfig_ = outputConfig_; + } else { + result.outputConfig_ = outputConfigBuilder_.build(); + } + result.params_ = internalGetParams(); + result.params_.makeImmutable(); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.BatchPredictRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.BatchPredictRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.BatchPredictRequest other) { + if (other == com.google.cloud.automl.v1beta1.BatchPredictRequest.getDefaultInstance()) + return this; + if (!other.getName().isEmpty()) { + name_ = other.name_; + onChanged(); + } + if (other.hasInputConfig()) { + mergeInputConfig(other.getInputConfig()); + } + if (other.hasOutputConfig()) { + mergeOutputConfig(other.getOutputConfig()); + } + internalGetMutableParams().mergeFrom(other.internalGetParams()); + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.BatchPredictRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.BatchPredictRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private java.lang.Object name_ = ""; + /** + * + * + * 
+     * Required. Name of the model requested to serve the batch prediction.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. Name of the model requested to serve the batch prediction.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. Name of the model requested to serve the batch prediction.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The name to set. + * @return This builder for chaining. + */ + public Builder setName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + name_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Name of the model requested to serve the batch prediction.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return This builder for chaining. + */ + public Builder clearName() { + + name_ = getDefaultInstance().getName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Name of the model requested to serve the batch prediction.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The bytes for name to set. + * @return This builder for chaining. + */ + public Builder setNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + name_ = value; + onChanged(); + return this; + } + + private com.google.cloud.automl.v1beta1.BatchPredictInputConfig inputConfig_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BatchPredictInputConfig, + com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder, + com.google.cloud.automl.v1beta1.BatchPredictInputConfigOrBuilder> + inputConfigBuilder_; + /** + * + * + * 
+     * Required. The input configuration for batch prediction.
+     *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the inputConfig field is set. + */ + public boolean hasInputConfig() { + return inputConfigBuilder_ != null || inputConfig_ != null; + } + /** + * + * + * 
+     * Required. The input configuration for batch prediction.
+     *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The inputConfig. + */ + public com.google.cloud.automl.v1beta1.BatchPredictInputConfig getInputConfig() { + if (inputConfigBuilder_ == null) { + return inputConfig_ == null + ? com.google.cloud.automl.v1beta1.BatchPredictInputConfig.getDefaultInstance() + : inputConfig_; + } else { + return inputConfigBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Required. The input configuration for batch prediction.
+     *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder setInputConfig(com.google.cloud.automl.v1beta1.BatchPredictInputConfig value) { + if (inputConfigBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + inputConfig_ = value; + onChanged(); + } else { + inputConfigBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Required. The input configuration for batch prediction.
+     *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder setInputConfig( + com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder builderForValue) { + if (inputConfigBuilder_ == null) { + inputConfig_ = builderForValue.build(); + onChanged(); + } else { + inputConfigBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Required. The input configuration for batch prediction.
+     *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder mergeInputConfig(com.google.cloud.automl.v1beta1.BatchPredictInputConfig value) { + if (inputConfigBuilder_ == null) { + if (inputConfig_ != null) { + inputConfig_ = + com.google.cloud.automl.v1beta1.BatchPredictInputConfig.newBuilder(inputConfig_) + .mergeFrom(value) + .buildPartial(); + } else { + inputConfig_ = value; + } + onChanged(); + } else { + inputConfigBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Required. The input configuration for batch prediction.
+     *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder clearInputConfig() { + if (inputConfigBuilder_ == null) { + inputConfig_ = null; + onChanged(); + } else { + inputConfig_ = null; + inputConfigBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Required. The input configuration for batch prediction.
+     *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder getInputConfigBuilder() { + + onChanged(); + return getInputConfigFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Required. The input configuration for batch prediction.
+     *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.BatchPredictInputConfigOrBuilder + getInputConfigOrBuilder() { + if (inputConfigBuilder_ != null) { + return inputConfigBuilder_.getMessageOrBuilder(); + } else { + return inputConfig_ == null + ? com.google.cloud.automl.v1beta1.BatchPredictInputConfig.getDefaultInstance() + : inputConfig_; + } + } + /** + * + * + * 
+     * Required. The input configuration for batch prediction.
+     *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BatchPredictInputConfig, + com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder, + com.google.cloud.automl.v1beta1.BatchPredictInputConfigOrBuilder> + getInputConfigFieldBuilder() { + if (inputConfigBuilder_ == null) { + inputConfigBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BatchPredictInputConfig, + com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder, + com.google.cloud.automl.v1beta1.BatchPredictInputConfigOrBuilder>( + getInputConfig(), getParentForChildren(), isClean()); + inputConfig_ = null; + } + return inputConfigBuilder_; + } + + private com.google.cloud.automl.v1beta1.BatchPredictOutputConfig outputConfig_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BatchPredictOutputConfig, + com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.Builder, + com.google.cloud.automl.v1beta1.BatchPredictOutputConfigOrBuilder> + outputConfigBuilder_; + /** + * + * + * 
+     * Required. The Configuration specifying where output predictions should
+     * be written.
+     *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the outputConfig field is set. + */ + public boolean hasOutputConfig() { + return outputConfigBuilder_ != null || outputConfig_ != null; + } + /** + * + * + * 
+     * Required. The Configuration specifying where output predictions should
+     * be written.
+     *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The outputConfig. + */ + public com.google.cloud.automl.v1beta1.BatchPredictOutputConfig getOutputConfig() { + if (outputConfigBuilder_ == null) { + return outputConfig_ == null + ? com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.getDefaultInstance() + : outputConfig_; + } else { + return outputConfigBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Required. The Configuration specifying where output predictions should
+     * be written.
+     *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder setOutputConfig(com.google.cloud.automl.v1beta1.BatchPredictOutputConfig value) { + if (outputConfigBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + outputConfig_ = value; + onChanged(); + } else { + outputConfigBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Required. The Configuration specifying where output predictions should
+     * be written.
+     *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder setOutputConfig( + com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.Builder builderForValue) { + if (outputConfigBuilder_ == null) { + outputConfig_ = builderForValue.build(); + onChanged(); + } else { + outputConfigBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Required. The Configuration specifying where output predictions should
+     * be written.
+     *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder mergeOutputConfig( + com.google.cloud.automl.v1beta1.BatchPredictOutputConfig value) { + if (outputConfigBuilder_ == null) { + if (outputConfig_ != null) { + outputConfig_ = + com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.newBuilder(outputConfig_) + .mergeFrom(value) + .buildPartial(); + } else { + outputConfig_ = value; + } + onChanged(); + } else { + outputConfigBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Required. The Configuration specifying where output predictions should
+     * be written.
+     *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder clearOutputConfig() { + if (outputConfigBuilder_ == null) { + outputConfig_ = null; + onChanged(); + } else { + outputConfig_ = null; + outputConfigBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Required. The Configuration specifying where output predictions should
+     * be written.
+     *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.Builder + getOutputConfigBuilder() { + + onChanged(); + return getOutputConfigFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Required. The Configuration specifying where output predictions should
+     * be written.
+     *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.BatchPredictOutputConfigOrBuilder + getOutputConfigOrBuilder() { + if (outputConfigBuilder_ != null) { + return outputConfigBuilder_.getMessageOrBuilder(); + } else { + return outputConfig_ == null + ? com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.getDefaultInstance() + : outputConfig_; + } + } + /** + * + * + * 
+     * Required. The Configuration specifying where output predictions should
+     * be written.
+     *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED]; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BatchPredictOutputConfig, + com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.Builder, + com.google.cloud.automl.v1beta1.BatchPredictOutputConfigOrBuilder> + getOutputConfigFieldBuilder() { + if (outputConfigBuilder_ == null) { + outputConfigBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BatchPredictOutputConfig, + com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.Builder, + com.google.cloud.automl.v1beta1.BatchPredictOutputConfigOrBuilder>( + getOutputConfig(), getParentForChildren(), isClean()); + outputConfig_ = null; + } + return outputConfigBuilder_; + } + + private com.google.protobuf.MapField params_; + + private com.google.protobuf.MapField internalGetParams() { + if (params_ == null) { + return com.google.protobuf.MapField.emptyMapField(ParamsDefaultEntryHolder.defaultEntry); + } + return params_; + } + + private com.google.protobuf.MapField + internalGetMutableParams() { + onChanged(); + ; + if (params_ == null) { + params_ = com.google.protobuf.MapField.newMapField(ParamsDefaultEntryHolder.defaultEntry); + } + if (!params_.isMutable()) { + params_ = params_.copy(); + } + return params_; + } + + public int getParamsCount() { + return internalGetParams().getMap().size(); + } + /** + * + * + * 
+     * Required. Additional domain-specific parameters for the predictions, any string must
+     * be up to 25000 characters long.
+     * *  For Text Classification:
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *         makes predictions for a text snippet, it will only produce results
+     *         that have at least this confidence score. The default is 0.5.
+     * *  For Image Classification:
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *         makes predictions for an image, it will only produce results that
+     *         have at least this confidence score. The default is 0.5.
+     * *  For Image Object Detection:
+     *    `score_threshold` - (float) When Model detects objects on the image,
+     *        it will only produce bounding boxes which have at least this
+     *        confidence score. Value in 0 to 1 range, default is 0.5.
+     *    `max_bounding_box_count` - (int64) No more than this number of bounding
+     *        boxes will be produced per image. Default is 100, the
+     *        requested value may be limited by server.
+     * *  For Video Classification :
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *        makes predictions for a video, it will only produce results that
+     *        have at least this confidence score. The default is 0.5.
+     *    `segment_classification` - (boolean) Set to true to request
+     *        segment-level classification. AutoML Video Intelligence returns
+     *        labels and their confidence scores for the entire segment of the
+     *        video that user specified in the request configuration.
+     *        The default is "true".
+     *    `shot_classification` - (boolean) Set to true to request shot-level
+     *        classification. AutoML Video Intelligence determines the boundaries
+     *        for each camera shot in the entire segment of the video that user
+     *        specified in the request configuration. AutoML Video Intelligence
+     *        then returns labels and their confidence scores for each detected
+     *        shot, along with the start and end time of the shot.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no metrics
+     *        provided to describe that quality. The default is "false".
+     *    `1s_interval_classification` - (boolean) Set to true to request
+     *        classification for a video at one-second intervals. AutoML Video
+     *        Intelligence returns labels and their confidence scores for each
+     *        second of the entire segment of the video that user specified in the
+     *        request configuration.
+     *        WARNING: Model evaluation is not done for this classification
+     *        type, the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality. The default is
+     *        "false".
+     * *  For Tables:
+     *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+     *        should be populated in the returned TablesAnnotations. The
+     *        default is false.
+     * *  For Video Object Tracking:
+     *    `score_threshold` - (float) When Model detects objects on video frames,
+     *        it will only produce bounding boxes which have at least this
+     *        confidence score. Value in 0 to 1 range, default is 0.5.
+     *    `max_bounding_box_count` - (int64) No more than this number of bounding
+     *        boxes will be returned per frame. Default is 100, the requested
+     *        value may be limited by server.
+     *    `min_bounding_box_size` - (float) Only bounding boxes with shortest edge
+     *      at least that long as a relative value of video frame size will be
+     *      returned. Value in 0 to 1 range. Default is 0.
+     *
+ * + * map<string, string> params = 5 [(.google.api.field_behavior) = REQUIRED]; + */ + public boolean containsParams(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetParams().getMap().containsKey(key); + } + /** Use {@link #getParamsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map getParams() { + return getParamsMap(); + } + /** + * + * + * 
+     * Required. Additional domain-specific parameters for the predictions, any string must
+     * be up to 25000 characters long.
+     * *  For Text Classification:
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *         makes predictions for a text snippet, it will only produce results
+     *         that have at least this confidence score. The default is 0.5.
+     * *  For Image Classification:
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *         makes predictions for an image, it will only produce results that
+     *         have at least this confidence score. The default is 0.5.
+     * *  For Image Object Detection:
+     *    `score_threshold` - (float) When Model detects objects on the image,
+     *        it will only produce bounding boxes which have at least this
+     *        confidence score. Value in 0 to 1 range, default is 0.5.
+     *    `max_bounding_box_count` - (int64) No more than this number of bounding
+     *        boxes will be produced per image. Default is 100, the
+     *        requested value may be limited by server.
+     * *  For Video Classification :
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *        makes predictions for a video, it will only produce results that
+     *        have at least this confidence score. The default is 0.5.
+     *    `segment_classification` - (boolean) Set to true to request
+     *        segment-level classification. AutoML Video Intelligence returns
+     *        labels and their confidence scores for the entire segment of the
+     *        video that user specified in the request configuration.
+     *        The default is "true".
+     *    `shot_classification` - (boolean) Set to true to request shot-level
+     *        classification. AutoML Video Intelligence determines the boundaries
+     *        for each camera shot in the entire segment of the video that user
+     *        specified in the request configuration. AutoML Video Intelligence
+     *        then returns labels and their confidence scores for each detected
+     *        shot, along with the start and end time of the shot.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no metrics
+     *        provided to describe that quality. The default is "false".
+     *    `1s_interval_classification` - (boolean) Set to true to request
+     *        classification for a video at one-second intervals. AutoML Video
+     *        Intelligence returns labels and their confidence scores for each
+     *        second of the entire segment of the video that user specified in the
+     *        request configuration.
+     *        WARNING: Model evaluation is not done for this classification
+     *        type, the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality. The default is
+     *        "false".
+     * *  For Tables:
+     *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+     *        should be populated in the returned TablesAnnotations. The
+     *        default is false.
+     * *  For Video Object Tracking:
+     *    `score_threshold` - (float) When Model detects objects on video frames,
+     *        it will only produce bounding boxes which have at least this
+     *        confidence score. Value in 0 to 1 range, default is 0.5.
+     *    `max_bounding_box_count` - (int64) No more than this number of bounding
+     *        boxes will be returned per frame. Default is 100, the requested
+     *        value may be limited by server.
+     *    `min_bounding_box_size` - (float) Only bounding boxes with shortest edge
+     *      at least that long as a relative value of video frame size will be
+     *      returned. Value in 0 to 1 range. Default is 0.
+     *
+ * + * map<string, string> params = 5 [(.google.api.field_behavior) = REQUIRED]; + */ + public java.util.Map getParamsMap() { + return internalGetParams().getMap(); + } + /** + * + * + * 
+     * Required. Additional domain-specific parameters for the predictions, any string must
+     * be up to 25000 characters long.
+     * *  For Text Classification:
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *         makes predictions for a text snippet, it will only produce results
+     *         that have at least this confidence score. The default is 0.5.
+     * *  For Image Classification:
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *         makes predictions for an image, it will only produce results that
+     *         have at least this confidence score. The default is 0.5.
+     * *  For Image Object Detection:
+     *    `score_threshold` - (float) When Model detects objects on the image,
+     *        it will only produce bounding boxes which have at least this
+     *        confidence score. Value in 0 to 1 range, default is 0.5.
+     *    `max_bounding_box_count` - (int64) No more than this number of bounding
+     *        boxes will be produced per image. Default is 100, the
+     *        requested value may be limited by server.
+     * *  For Video Classification :
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *        makes predictions for a video, it will only produce results that
+     *        have at least this confidence score. The default is 0.5.
+     *    `segment_classification` - (boolean) Set to true to request
+     *        segment-level classification. AutoML Video Intelligence returns
+     *        labels and their confidence scores for the entire segment of the
+     *        video that user specified in the request configuration.
+     *        The default is "true".
+     *    `shot_classification` - (boolean) Set to true to request shot-level
+     *        classification. AutoML Video Intelligence determines the boundaries
+     *        for each camera shot in the entire segment of the video that user
+     *        specified in the request configuration. AutoML Video Intelligence
+     *        then returns labels and their confidence scores for each detected
+     *        shot, along with the start and end time of the shot.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no metrics
+     *        provided to describe that quality. The default is "false".
+     *    `1s_interval_classification` - (boolean) Set to true to request
+     *        classification for a video at one-second intervals. AutoML Video
+     *        Intelligence returns labels and their confidence scores for each
+     *        second of the entire segment of the video that user specified in the
+     *        request configuration.
+     *        WARNING: Model evaluation is not done for this classification
+     *        type, the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality. The default is
+     *        "false".
+     * *  For Tables:
+     *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+     *        should be populated in the returned TablesAnnotations. The
+     *        default is false.
+     * *  For Video Object Tracking:
+     *    `score_threshold` - (float) When Model detects objects on video frames,
+     *        it will only produce bounding boxes which have at least this
+     *        confidence score. Value in 0 to 1 range, default is 0.5.
+     *    `max_bounding_box_count` - (int64) No more than this number of bounding
+     *        boxes will be returned per frame. Default is 100, the requested
+     *        value may be limited by server.
+     *    `min_bounding_box_size` - (float) Only bounding boxes with shortest edge
+     *      at least that long as a relative value of video frame size will be
+     *      returned. Value in 0 to 1 range. Default is 0.
+     *
+ * + * map<string, string> params = 5 [(.google.api.field_behavior) = REQUIRED]; + */ + public java.lang.String getParamsOrDefault( + java.lang.String key, java.lang.String defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = internalGetParams().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+     * Required. Additional domain-specific parameters for the predictions, any string must
+     * be up to 25000 characters long.
+     * *  For Text Classification:
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *         makes predictions for a text snippet, it will only produce results
+     *         that have at least this confidence score. The default is 0.5.
+     * *  For Image Classification:
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *         makes predictions for an image, it will only produce results that
+     *         have at least this confidence score. The default is 0.5.
+     * *  For Image Object Detection:
+     *    `score_threshold` - (float) When Model detects objects on the image,
+     *        it will only produce bounding boxes which have at least this
+     *        confidence score. Value in 0 to 1 range, default is 0.5.
+     *    `max_bounding_box_count` - (int64) No more than this number of bounding
+     *        boxes will be produced per image. Default is 100, the
+     *        requested value may be limited by server.
+     * *  For Video Classification :
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *        makes predictions for a video, it will only produce results that
+     *        have at least this confidence score. The default is 0.5.
+     *    `segment_classification` - (boolean) Set to true to request
+     *        segment-level classification. AutoML Video Intelligence returns
+     *        labels and their confidence scores for the entire segment of the
+     *        video that user specified in the request configuration.
+     *        The default is "true".
+     *    `shot_classification` - (boolean) Set to true to request shot-level
+     *        classification. AutoML Video Intelligence determines the boundaries
+     *        for each camera shot in the entire segment of the video that user
+     *        specified in the request configuration. AutoML Video Intelligence
+     *        then returns labels and their confidence scores for each detected
+     *        shot, along with the start and end time of the shot.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no metrics
+     *        provided to describe that quality. The default is "false".
+     *    `1s_interval_classification` - (boolean) Set to true to request
+     *        classification for a video at one-second intervals. AutoML Video
+     *        Intelligence returns labels and their confidence scores for each
+     *        second of the entire segment of the video that user specified in the
+     *        request configuration.
+     *        WARNING: Model evaluation is not done for this classification
+     *        type, the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality. The default is
+     *        "false".
+     * *  For Tables:
+     *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+     *        should be populated in the returned TablesAnnotations. The
+     *        default is false.
+     * *  For Video Object Tracking:
+     *    `score_threshold` - (float) When Model detects objects on video frames,
+     *        it will only produce bounding boxes which have at least this
+     *        confidence score. Value in 0 to 1 range, default is 0.5.
+     *    `max_bounding_box_count` - (int64) No more than this number of bounding
+     *        boxes will be returned per frame. Default is 100, the requested
+     *        value may be limited by server.
+     *    `min_bounding_box_size` - (float) Only bounding boxes with shortest edge
+     *      at least that long as a relative value of video frame size will be
+     *      returned. Value in 0 to 1 range. Default is 0.
+     *
+ * + * map<string, string> params = 5 [(.google.api.field_behavior) = REQUIRED]; + */ + public java.lang.String getParamsOrThrow(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = internalGetParams().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + public Builder clearParams() { + internalGetMutableParams().getMutableMap().clear(); + return this; + } + /** + * + * + * 
+     * Required. Additional domain-specific parameters for the predictions, any string must
+     * be up to 25000 characters long.
+     * *  For Text Classification:
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *         makes predictions for a text snippet, it will only produce results
+     *         that have at least this confidence score. The default is 0.5.
+     * *  For Image Classification:
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *         makes predictions for an image, it will only produce results that
+     *         have at least this confidence score. The default is 0.5.
+     * *  For Image Object Detection:
+     *    `score_threshold` - (float) When Model detects objects on the image,
+     *        it will only produce bounding boxes which have at least this
+     *        confidence score. Value in 0 to 1 range, default is 0.5.
+     *    `max_bounding_box_count` - (int64) No more than this number of bounding
+     *        boxes will be produced per image. Default is 100, the
+     *        requested value may be limited by server.
+     * *  For Video Classification :
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *        makes predictions for a video, it will only produce results that
+     *        have at least this confidence score. The default is 0.5.
+     *    `segment_classification` - (boolean) Set to true to request
+     *        segment-level classification. AutoML Video Intelligence returns
+     *        labels and their confidence scores for the entire segment of the
+     *        video that user specified in the request configuration.
+     *        The default is "true".
+     *    `shot_classification` - (boolean) Set to true to request shot-level
+     *        classification. AutoML Video Intelligence determines the boundaries
+     *        for each camera shot in the entire segment of the video that user
+     *        specified in the request configuration. AutoML Video Intelligence
+     *        then returns labels and their confidence scores for each detected
+     *        shot, along with the start and end time of the shot.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no metrics
+     *        provided to describe that quality. The default is "false".
+     *    `1s_interval_classification` - (boolean) Set to true to request
+     *        classification for a video at one-second intervals. AutoML Video
+     *        Intelligence returns labels and their confidence scores for each
+     *        second of the entire segment of the video that user specified in the
+     *        request configuration.
+     *        WARNING: Model evaluation is not done for this classification
+     *        type, the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality. The default is
+     *        "false".
+     * *  For Tables:
+     *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+     *        should be populated in the returned TablesAnnotations. The
+     *        default is false.
+     * *  For Video Object Tracking:
+     *    `score_threshold` - (float) When Model detects objects on video frames,
+     *        it will only produce bounding boxes which have at least this
+     *        confidence score. Value in 0 to 1 range, default is 0.5.
+     *    `max_bounding_box_count` - (int64) No more than this number of bounding
+     *        boxes will be returned per frame. Default is 100, the requested
+     *        value may be limited by server.
+     *    `min_bounding_box_size` - (float) Only bounding boxes with shortest edge
+     *      at least that long as a relative value of video frame size will be
+     *      returned. Value in 0 to 1 range. Default is 0.
+     *
+ * + * map<string, string> params = 5 [(.google.api.field_behavior) = REQUIRED]; + */ + public Builder removeParams(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableParams().getMutableMap().remove(key); + return this; + } + /** Use alternate mutation accessors instead. */ + @java.lang.Deprecated + public java.util.Map getMutableParams() { + return internalGetMutableParams().getMutableMap(); + } + /** + * + * + * 
+     * Required. Additional domain-specific parameters for the predictions, any string must
+     * be up to 25000 characters long.
+     * *  For Text Classification:
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *         makes predictions for a text snippet, it will only produce results
+     *         that have at least this confidence score. The default is 0.5.
+     * *  For Image Classification:
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *         makes predictions for an image, it will only produce results that
+     *         have at least this confidence score. The default is 0.5.
+     * *  For Image Object Detection:
+     *    `score_threshold` - (float) When Model detects objects on the image,
+     *        it will only produce bounding boxes which have at least this
+     *        confidence score. Value in 0 to 1 range, default is 0.5.
+     *    `max_bounding_box_count` - (int64) No more than this number of bounding
+     *        boxes will be produced per image. Default is 100, the
+     *        requested value may be limited by server.
+     * *  For Video Classification :
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *        makes predictions for a video, it will only produce results that
+     *        have at least this confidence score. The default is 0.5.
+     *    `segment_classification` - (boolean) Set to true to request
+     *        segment-level classification. AutoML Video Intelligence returns
+     *        labels and their confidence scores for the entire segment of the
+     *        video that user specified in the request configuration.
+     *        The default is "true".
+     *    `shot_classification` - (boolean) Set to true to request shot-level
+     *        classification. AutoML Video Intelligence determines the boundaries
+     *        for each camera shot in the entire segment of the video that user
+     *        specified in the request configuration. AutoML Video Intelligence
+     *        then returns labels and their confidence scores for each detected
+     *        shot, along with the start and end time of the shot.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no metrics
+     *        provided to describe that quality. The default is "false".
+     *    `1s_interval_classification` - (boolean) Set to true to request
+     *        classification for a video at one-second intervals. AutoML Video
+     *        Intelligence returns labels and their confidence scores for each
+     *        second of the entire segment of the video that user specified in the
+     *        request configuration.
+     *        WARNING: Model evaluation is not done for this classification
+     *        type, the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality. The default is
+     *        "false".
+     * *  For Tables:
+     *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+     *        should be populated in the returned TablesAnnotations. The
+     *        default is false.
+     * *  For Video Object Tracking:
+     *    `score_threshold` - (float) When Model detects objects on video frames,
+     *        it will only produce bounding boxes which have at least this
+     *        confidence score. Value in 0 to 1 range, default is 0.5.
+     *    `max_bounding_box_count` - (int64) No more than this number of bounding
+     *        boxes will be returned per frame. Default is 100, the requested
+     *        value may be limited by server.
+     *    `min_bounding_box_size` - (float) Only bounding boxes with shortest edge
+     *      at least that long as a relative value of video frame size will be
+     *      returned. Value in 0 to 1 range. Default is 0.
+     *
+ * + * map<string, string> params = 5 [(.google.api.field_behavior) = REQUIRED]; + */ + public Builder putParams(java.lang.String key, java.lang.String value) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + if (value == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableParams().getMutableMap().put(key, value); + return this; + } + /** + * + * + * 
+     * Required. Additional domain-specific parameters for the predictions, any string must
+     * be up to 25000 characters long.
+     * *  For Text Classification:
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *         makes predictions for a text snippet, it will only produce results
+     *         that have at least this confidence score. The default is 0.5.
+     * *  For Image Classification:
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *         makes predictions for an image, it will only produce results that
+     *         have at least this confidence score. The default is 0.5.
+     * *  For Image Object Detection:
+     *    `score_threshold` - (float) When Model detects objects on the image,
+     *        it will only produce bounding boxes which have at least this
+     *        confidence score. Value in 0 to 1 range, default is 0.5.
+     *    `max_bounding_box_count` - (int64) No more than this number of bounding
+     *        boxes will be produced per image. Default is 100, the
+     *        requested value may be limited by server.
+     * *  For Video Classification :
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *        makes predictions for a video, it will only produce results that
+     *        have at least this confidence score. The default is 0.5.
+     *    `segment_classification` - (boolean) Set to true to request
+     *        segment-level classification. AutoML Video Intelligence returns
+     *        labels and their confidence scores for the entire segment of the
+     *        video that user specified in the request configuration.
+     *        The default is "true".
+     *    `shot_classification` - (boolean) Set to true to request shot-level
+     *        classification. AutoML Video Intelligence determines the boundaries
+     *        for each camera shot in the entire segment of the video that user
+     *        specified in the request configuration. AutoML Video Intelligence
+     *        then returns labels and their confidence scores for each detected
+     *        shot, along with the start and end time of the shot.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no metrics
+     *        provided to describe that quality. The default is "false".
+     *    `1s_interval_classification` - (boolean) Set to true to request
+     *        classification for a video at one-second intervals. AutoML Video
+     *        Intelligence returns labels and their confidence scores for each
+     *        second of the entire segment of the video that user specified in the
+     *        request configuration.
+     *        WARNING: Model evaluation is not done for this classification
+     *        type, the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality. The default is
+     *        "false".
+     * *  For Tables:
+     *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+     *        should be populated in the returned TablesAnnotations. The
+     *        default is false.
+     * *  For Video Object Tracking:
+     *    `score_threshold` - (float) When Model detects objects on video frames,
+     *        it will only produce bounding boxes which have at least this
+     *        confidence score. Value in 0 to 1 range, default is 0.5.
+     *    `max_bounding_box_count` - (int64) No more than this number of bounding
+     *        boxes will be returned per frame. Default is 100, the requested
+     *        value may be limited by server.
+     *    `min_bounding_box_size` - (float) Only bounding boxes with shortest edge
+     *      at least that long as a relative value of video frame size will be
+     *      returned. Value in 0 to 1 range. Default is 0.
+     *
+ * + * map<string, string> params = 5 [(.google.api.field_behavior) = REQUIRED]; + */ + public Builder putAllParams(java.util.Map values) { + internalGetMutableParams().getMutableMap().putAll(values); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.BatchPredictRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.BatchPredictRequest) + private static final com.google.cloud.automl.v1beta1.BatchPredictRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.BatchPredictRequest(); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public BatchPredictRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new BatchPredictRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BatchPredictRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictRequestOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictRequestOrBuilder.java new file mode 100644 index 000000000..360898b56 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictRequestOrBuilder.java @@ -0,0 +1,478 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/prediction_service.proto + +package com.google.cloud.automl.v1beta1; + +public interface BatchPredictRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.BatchPredictRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. Name of the model requested to serve the batch prediction.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + java.lang.String getName(); + /** + * + * + * 
+   * Required. Name of the model requested to serve the batch prediction.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + com.google.protobuf.ByteString getNameBytes(); + + /** + * + * + * 
+   * Required. The input configuration for batch prediction.
+   *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the inputConfig field is set. + */ + boolean hasInputConfig(); + /** + * + * + * 
+   * Required. The input configuration for batch prediction.
+   *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The inputConfig. + */ + com.google.cloud.automl.v1beta1.BatchPredictInputConfig getInputConfig(); + /** + * + * + * 
+   * Required. The input configuration for batch prediction.
+   *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + com.google.cloud.automl.v1beta1.BatchPredictInputConfigOrBuilder getInputConfigOrBuilder(); + + /** + * + * + * 
+   * Required. The Configuration specifying where output predictions should
+   * be written.
+   *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the outputConfig field is set. + */ + boolean hasOutputConfig(); + /** + * + * + * 
+   * Required. The Configuration specifying where output predictions should
+   * be written.
+   *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The outputConfig. + */ + com.google.cloud.automl.v1beta1.BatchPredictOutputConfig getOutputConfig(); + /** + * + * + * 
+   * Required. The Configuration specifying where output predictions should
+   * be written.
+   *
+ * + * + * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED]; + * + */ + com.google.cloud.automl.v1beta1.BatchPredictOutputConfigOrBuilder getOutputConfigOrBuilder(); + + /** + * + * + * 
+   * Required. Additional domain-specific parameters for the predictions, any string must
+   * be up to 25000 characters long.
+   * *  For Text Classification:
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *         makes predictions for a text snippet, it will only produce results
+   *         that have at least this confidence score. The default is 0.5.
+   * *  For Image Classification:
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *         makes predictions for an image, it will only produce results that
+   *         have at least this confidence score. The default is 0.5.
+   * *  For Image Object Detection:
+   *    `score_threshold` - (float) When Model detects objects on the image,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be produced per image. Default is 100, the
+   *        requested value may be limited by server.
+   * *  For Video Classification :
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *        makes predictions for a video, it will only produce results that
+   *        have at least this confidence score. The default is 0.5.
+   *    `segment_classification` - (boolean) Set to true to request
+   *        segment-level classification. AutoML Video Intelligence returns
+   *        labels and their confidence scores for the entire segment of the
+   *        video that user specified in the request configuration.
+   *        The default is "true".
+   *    `shot_classification` - (boolean) Set to true to request shot-level
+   *        classification. AutoML Video Intelligence determines the boundaries
+   *        for each camera shot in the entire segment of the video that user
+   *        specified in the request configuration. AutoML Video Intelligence
+   *        then returns labels and their confidence scores for each detected
+   *        shot, along with the start and end time of the shot.
+   *        WARNING: Model evaluation is not done for this classification type,
+   *        the quality of it depends on training data, but there are no metrics
+   *        provided to describe that quality. The default is "false".
+   *    `1s_interval_classification` - (boolean) Set to true to request
+   *        classification for a video at one-second intervals. AutoML Video
+   *        Intelligence returns labels and their confidence scores for each
+   *        second of the entire segment of the video that user specified in the
+   *        request configuration.
+   *        WARNING: Model evaluation is not done for this classification
+   *        type, the quality of it depends on training data, but there are no
+   *        metrics provided to describe that quality. The default is
+   *        "false".
+   * *  For Tables:
+   *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+   *        should be populated in the returned TablesAnnotations. The
+   *        default is false.
+   * *  For Video Object Tracking:
+   *    `score_threshold` - (float) When Model detects objects on video frames,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be returned per frame. Default is 100, the requested
+   *        value may be limited by server.
+   *    `min_bounding_box_size` - (float) Only bounding boxes with shortest edge
+   *      at least that long as a relative value of video frame size will be
+   *      returned. Value in 0 to 1 range. Default is 0.
+   *
+ * + * map<string, string> params = 5 [(.google.api.field_behavior) = REQUIRED]; + */ + int getParamsCount(); + /** + * + * + * 
+   * Required. Additional domain-specific parameters for the predictions, any string must
+   * be up to 25000 characters long.
+   * *  For Text Classification:
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *         makes predictions for a text snippet, it will only produce results
+   *         that have at least this confidence score. The default is 0.5.
+   * *  For Image Classification:
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *         makes predictions for an image, it will only produce results that
+   *         have at least this confidence score. The default is 0.5.
+   * *  For Image Object Detection:
+   *    `score_threshold` - (float) When Model detects objects on the image,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be produced per image. Default is 100, the
+   *        requested value may be limited by server.
+   * *  For Video Classification :
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *        makes predictions for a video, it will only produce results that
+   *        have at least this confidence score. The default is 0.5.
+   *    `segment_classification` - (boolean) Set to true to request
+   *        segment-level classification. AutoML Video Intelligence returns
+   *        labels and their confidence scores for the entire segment of the
+   *        video that user specified in the request configuration.
+   *        The default is "true".
+   *    `shot_classification` - (boolean) Set to true to request shot-level
+   *        classification. AutoML Video Intelligence determines the boundaries
+   *        for each camera shot in the entire segment of the video that user
+   *        specified in the request configuration. AutoML Video Intelligence
+   *        then returns labels and their confidence scores for each detected
+   *        shot, along with the start and end time of the shot.
+   *        WARNING: Model evaluation is not done for this classification type,
+   *        the quality of it depends on training data, but there are no metrics
+   *        provided to describe that quality. The default is "false".
+   *    `1s_interval_classification` - (boolean) Set to true to request
+   *        classification for a video at one-second intervals. AutoML Video
+   *        Intelligence returns labels and their confidence scores for each
+   *        second of the entire segment of the video that user specified in the
+   *        request configuration.
+   *        WARNING: Model evaluation is not done for this classification
+   *        type, the quality of it depends on training data, but there are no
+   *        metrics provided to describe that quality. The default is
+   *        "false".
+   * *  For Tables:
+   *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+   *        should be populated in the returned TablesAnnotations. The
+   *        default is false.
+   * *  For Video Object Tracking:
+   *    `score_threshold` - (float) When Model detects objects on video frames,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be returned per frame. Default is 100, the requested
+   *        value may be limited by server.
+   *    `min_bounding_box_size` - (float) Only bounding boxes with shortest edge
+   *      at least that long as a relative value of video frame size will be
+   *      returned. Value in 0 to 1 range. Default is 0.
+   *
+ * + * map<string, string> params = 5 [(.google.api.field_behavior) = REQUIRED]; + */ + boolean containsParams(java.lang.String key); + /** Use {@link #getParamsMap()} instead. */ + @java.lang.Deprecated + java.util.Map getParams(); + /** + * + * + * 
+   * Required. Additional domain-specific parameters for the predictions, any string must
+   * be up to 25000 characters long.
+   * *  For Text Classification:
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *         makes predictions for a text snippet, it will only produce results
+   *         that have at least this confidence score. The default is 0.5.
+   * *  For Image Classification:
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *         makes predictions for an image, it will only produce results that
+   *         have at least this confidence score. The default is 0.5.
+   * *  For Image Object Detection:
+   *    `score_threshold` - (float) When Model detects objects on the image,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be produced per image. Default is 100, the
+   *        requested value may be limited by server.
+   * *  For Video Classification :
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *        makes predictions for a video, it will only produce results that
+   *        have at least this confidence score. The default is 0.5.
+   *    `segment_classification` - (boolean) Set to true to request
+   *        segment-level classification. AutoML Video Intelligence returns
+   *        labels and their confidence scores for the entire segment of the
+   *        video that user specified in the request configuration.
+   *        The default is "true".
+   *    `shot_classification` - (boolean) Set to true to request shot-level
+   *        classification. AutoML Video Intelligence determines the boundaries
+   *        for each camera shot in the entire segment of the video that user
+   *        specified in the request configuration. AutoML Video Intelligence
+   *        then returns labels and their confidence scores for each detected
+   *        shot, along with the start and end time of the shot.
+   *        WARNING: Model evaluation is not done for this classification type,
+   *        the quality of it depends on training data, but there are no metrics
+   *        provided to describe that quality. The default is "false".
+   *    `1s_interval_classification` - (boolean) Set to true to request
+   *        classification for a video at one-second intervals. AutoML Video
+   *        Intelligence returns labels and their confidence scores for each
+   *        second of the entire segment of the video that user specified in the
+   *        request configuration.
+   *        WARNING: Model evaluation is not done for this classification
+   *        type, the quality of it depends on training data, but there are no
+   *        metrics provided to describe that quality. The default is
+   *        "false".
+   * *  For Tables:
+   *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+   *        should be populated in the returned TablesAnnotations. The
+   *        default is false.
+   * *  For Video Object Tracking:
+   *    `score_threshold` - (float) When Model detects objects on video frames,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be returned per frame. Default is 100, the requested
+   *        value may be limited by server.
+   *    `min_bounding_box_size` - (float) Only bounding boxes with shortest edge
+   *      at least that long as a relative value of video frame size will be
+   *      returned. Value in 0 to 1 range. Default is 0.
+   *
+ * + * map<string, string> params = 5 [(.google.api.field_behavior) = REQUIRED]; + */ + java.util.Map getParamsMap(); + /** + * + * + * 
+   * Required. Additional domain-specific parameters for the predictions, any string must
+   * be up to 25000 characters long.
+   * *  For Text Classification:
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *         makes predictions for a text snippet, it will only produce results
+   *         that have at least this confidence score. The default is 0.5.
+   * *  For Image Classification:
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *         makes predictions for an image, it will only produce results that
+   *         have at least this confidence score. The default is 0.5.
+   * *  For Image Object Detection:
+   *    `score_threshold` - (float) When Model detects objects on the image,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be produced per image. Default is 100, the
+   *        requested value may be limited by server.
+   * *  For Video Classification :
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *        makes predictions for a video, it will only produce results that
+   *        have at least this confidence score. The default is 0.5.
+   *    `segment_classification` - (boolean) Set to true to request
+   *        segment-level classification. AutoML Video Intelligence returns
+   *        labels and their confidence scores for the entire segment of the
+   *        video that user specified in the request configuration.
+   *        The default is "true".
+   *    `shot_classification` - (boolean) Set to true to request shot-level
+   *        classification. AutoML Video Intelligence determines the boundaries
+   *        for each camera shot in the entire segment of the video that user
+   *        specified in the request configuration. AutoML Video Intelligence
+   *        then returns labels and their confidence scores for each detected
+   *        shot, along with the start and end time of the shot.
+   *        WARNING: Model evaluation is not done for this classification type,
+   *        the quality of it depends on training data, but there are no metrics
+   *        provided to describe that quality. The default is "false".
+   *    `1s_interval_classification` - (boolean) Set to true to request
+   *        classification for a video at one-second intervals. AutoML Video
+   *        Intelligence returns labels and their confidence scores for each
+   *        second of the entire segment of the video that user specified in the
+   *        request configuration.
+   *        WARNING: Model evaluation is not done for this classification
+   *        type, the quality of it depends on training data, but there are no
+   *        metrics provided to describe that quality. The default is
+   *        "false".
+   * *  For Tables:
+   *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+   *        should be populated in the returned TablesAnnotations. The
+   *        default is false.
+   * *  For Video Object Tracking:
+   *    `score_threshold` - (float) When Model detects objects on video frames,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be returned per frame. Default is 100, the requested
+   *        value may be limited by server.
+   *    `min_bounding_box_size` - (float) Only bounding boxes with shortest edge
+   *      at least that long as a relative value of video frame size will be
+   *      returned. Value in 0 to 1 range. Default is 0.
+   *
+ * + * map<string, string> params = 5 [(.google.api.field_behavior) = REQUIRED]; + */ + java.lang.String getParamsOrDefault(java.lang.String key, java.lang.String defaultValue); + /** + * + * + * 
+   * Required. Additional domain-specific parameters for the predictions, any string must
+   * be up to 25000 characters long.
+   * *  For Text Classification:
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *         makes predictions for a text snippet, it will only produce results
+   *         that have at least this confidence score. The default is 0.5.
+   * *  For Image Classification:
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *         makes predictions for an image, it will only produce results that
+   *         have at least this confidence score. The default is 0.5.
+   * *  For Image Object Detection:
+   *    `score_threshold` - (float) When Model detects objects on the image,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be produced per image. Default is 100, the
+   *        requested value may be limited by server.
+   * *  For Video Classification :
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *        makes predictions for a video, it will only produce results that
+   *        have at least this confidence score. The default is 0.5.
+   *    `segment_classification` - (boolean) Set to true to request
+   *        segment-level classification. AutoML Video Intelligence returns
+   *        labels and their confidence scores for the entire segment of the
+   *        video that user specified in the request configuration.
+   *        The default is "true".
+   *    `shot_classification` - (boolean) Set to true to request shot-level
+   *        classification. AutoML Video Intelligence determines the boundaries
+   *        for each camera shot in the entire segment of the video that user
+   *        specified in the request configuration. AutoML Video Intelligence
+   *        then returns labels and their confidence scores for each detected
+   *        shot, along with the start and end time of the shot.
+   *        WARNING: Model evaluation is not done for this classification type,
+   *        the quality of it depends on training data, but there are no metrics
+   *        provided to describe that quality. The default is "false".
+   *    `1s_interval_classification` - (boolean) Set to true to request
+   *        classification for a video at one-second intervals. AutoML Video
+   *        Intelligence returns labels and their confidence scores for each
+   *        second of the entire segment of the video that user specified in the
+   *        request configuration.
+   *        WARNING: Model evaluation is not done for this classification
+   *        type, the quality of it depends on training data, but there are no
+   *        metrics provided to describe that quality. The default is
+   *        "false".
+   * *  For Tables:
+   *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+   *        should be populated in the returned TablesAnnotations. The
+   *        default is false.
+   * *  For Video Object Tracking:
+   *    `score_threshold` - (float) When Model detects objects on video frames,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be returned per frame. Default is 100, the requested
+   *        value may be limited by server.
+   *    `min_bounding_box_size` - (float) Only bounding boxes with shortest edge
+   *      at least that long as a relative value of video frame size will be
+   *      returned. Value in 0 to 1 range. Default is 0.
+   *
+ * + * map<string, string> params = 5 [(.google.api.field_behavior) = REQUIRED]; + */ + java.lang.String getParamsOrThrow(java.lang.String key); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictResult.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictResult.java new file mode 100644 index 000000000..421cd06e1 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictResult.java @@ -0,0 +1,844 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/prediction_service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Result of the Batch Predict. This message is returned in
+ * [response][google.longrunning.Operation.response] of the operation returned
+ * by the [PredictionService.BatchPredict][google.cloud.automl.v1beta1.PredictionService.BatchPredict].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.BatchPredictResult} + */ +public final class BatchPredictResult extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.BatchPredictResult) + BatchPredictResultOrBuilder { + private static final long serialVersionUID = 0L; + // Use BatchPredictResult.newBuilder() to construct. + private BatchPredictResult(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private BatchPredictResult() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new BatchPredictResult(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private BatchPredictResult( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + metadata_ = + com.google.protobuf.MapField.newMapField( + MetadataDefaultEntryHolder.defaultEntry); + mutable_bitField0_ |= 0x00000001; + } + com.google.protobuf.MapEntry metadata__ = + input.readMessage( + MetadataDefaultEntryHolder.defaultEntry.getParserForType(), + extensionRegistry); + metadata_.getMutableMap().put(metadata__.getKey(), metadata__.getValue()); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.PredictionServiceProto + .internal_static_google_cloud_automl_v1beta1_BatchPredictResult_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + @java.lang.Override + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 1: + return internalGetMetadata(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.PredictionServiceProto + .internal_static_google_cloud_automl_v1beta1_BatchPredictResult_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.BatchPredictResult.class, + com.google.cloud.automl.v1beta1.BatchPredictResult.Builder.class); + } + + public static final int METADATA_FIELD_NUMBER = 1; + + private static final class MetadataDefaultEntryHolder { + static final com.google.protobuf.MapEntry defaultEntry = + com.google.protobuf.MapEntry.newDefaultInstance( + com.google.cloud.automl.v1beta1.PredictionServiceProto + .internal_static_google_cloud_automl_v1beta1_BatchPredictResult_MetadataEntry_descriptor, + com.google.protobuf.WireFormat.FieldType.STRING, + "", + com.google.protobuf.WireFormat.FieldType.STRING, + ""); + } + + private com.google.protobuf.MapField metadata_; + + private com.google.protobuf.MapField internalGetMetadata() { + if (metadata_ == null) { + return com.google.protobuf.MapField.emptyMapField(MetadataDefaultEntryHolder.defaultEntry); + } + return metadata_; + } + + public int getMetadataCount() { + return internalGetMetadata().getMap().size(); + } + /** + * + * + * 
+   * Additional domain-specific prediction response metadata.
+   * *  For Image Object Detection:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      image could have been returned.
+   * *  For Video Object Tracking:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      frame could have been returned.
+   *
+ * + * map<string, string> metadata = 1; + */ + public boolean containsMetadata(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetMetadata().getMap().containsKey(key); + } + /** Use {@link #getMetadataMap()} instead. */ + @java.lang.Deprecated + public java.util.Map getMetadata() { + return getMetadataMap(); + } + /** + * + * + * 
+   * Additional domain-specific prediction response metadata.
+   * *  For Image Object Detection:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      image could have been returned.
+   * *  For Video Object Tracking:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      frame could have been returned.
+   *
+ * + * map<string, string> metadata = 1; + */ + public java.util.Map getMetadataMap() { + return internalGetMetadata().getMap(); + } + /** + * + * + * 
+   * Additional domain-specific prediction response metadata.
+   * *  For Image Object Detection:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      image could have been returned.
+   * *  For Video Object Tracking:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      frame could have been returned.
+   *
+ * + * map<string, string> metadata = 1; + */ + public java.lang.String getMetadataOrDefault( + java.lang.String key, java.lang.String defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = internalGetMetadata().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+   * Additional domain-specific prediction response metadata.
+   * *  For Image Object Detection:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      image could have been returned.
+   * *  For Video Object Tracking:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      frame could have been returned.
+   *
+ * + * map<string, string> metadata = 1; + */ + public java.lang.String getMetadataOrThrow(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = internalGetMetadata().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + com.google.protobuf.GeneratedMessageV3.serializeStringMapTo( + output, internalGetMetadata(), MetadataDefaultEntryHolder.defaultEntry, 1); + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + for (java.util.Map.Entry entry : + internalGetMetadata().getMap().entrySet()) { + com.google.protobuf.MapEntry metadata__ = + MetadataDefaultEntryHolder.defaultEntry + .newBuilderForType() + .setKey(entry.getKey()) + .setValue(entry.getValue()) + .build(); + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, metadata__); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.BatchPredictResult)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.BatchPredictResult other = + (com.google.cloud.automl.v1beta1.BatchPredictResult) obj; + + if (!internalGetMetadata().equals(other.internalGetMetadata())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (!internalGetMetadata().getMap().isEmpty()) { + hash = (37 * hash) + METADATA_FIELD_NUMBER; + hash = (53 * hash) + internalGetMetadata().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.BatchPredictResult parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictResult parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictResult parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictResult parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictResult parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictResult parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictResult parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictResult parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictResult parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictResult parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictResult parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictResult parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.BatchPredictResult prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Result of the Batch Predict. This message is returned in
+   * [response][google.longrunning.Operation.response] of the operation returned
+   * by the [PredictionService.BatchPredict][google.cloud.automl.v1beta1.PredictionService.BatchPredict].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.BatchPredictResult} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.BatchPredictResult) + com.google.cloud.automl.v1beta1.BatchPredictResultOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.PredictionServiceProto + .internal_static_google_cloud_automl_v1beta1_BatchPredictResult_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 1: + return internalGetMetadata(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMutableMapField(int number) { + switch (number) { + case 1: + return internalGetMutableMetadata(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.PredictionServiceProto + .internal_static_google_cloud_automl_v1beta1_BatchPredictResult_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.BatchPredictResult.class, + com.google.cloud.automl.v1beta1.BatchPredictResult.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.BatchPredictResult.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + internalGetMutableMetadata().clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.PredictionServiceProto + .internal_static_google_cloud_automl_v1beta1_BatchPredictResult_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BatchPredictResult getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.BatchPredictResult.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BatchPredictResult build() { + com.google.cloud.automl.v1beta1.BatchPredictResult result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BatchPredictResult buildPartial() { + com.google.cloud.automl.v1beta1.BatchPredictResult result = + new com.google.cloud.automl.v1beta1.BatchPredictResult(this); + int from_bitField0_ = bitField0_; + result.metadata_ = internalGetMetadata(); + result.metadata_.makeImmutable(); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.BatchPredictResult) { + return mergeFrom((com.google.cloud.automl.v1beta1.BatchPredictResult) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.BatchPredictResult other) { + if (other == com.google.cloud.automl.v1beta1.BatchPredictResult.getDefaultInstance()) + return this; + internalGetMutableMetadata().mergeFrom(other.internalGetMetadata()); + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.BatchPredictResult parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.BatchPredictResult) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private com.google.protobuf.MapField metadata_; + + private com.google.protobuf.MapField internalGetMetadata() { + if (metadata_ == null) { + return com.google.protobuf.MapField.emptyMapField(MetadataDefaultEntryHolder.defaultEntry); + } + return metadata_; + } + + private com.google.protobuf.MapField + internalGetMutableMetadata() { + onChanged(); + ; + if (metadata_ == null) { + metadata_ = + com.google.protobuf.MapField.newMapField(MetadataDefaultEntryHolder.defaultEntry); + } + if (!metadata_.isMutable()) { + metadata_ = metadata_.copy(); + } + return metadata_; + } + + public int getMetadataCount() { + return internalGetMetadata().getMap().size(); + } + /** + * + * + * 
+     * Additional domain-specific prediction response metadata.
+     * *  For Image Object Detection:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      image could have been returned.
+     * *  For Video Object Tracking:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      frame could have been returned.
+     *
+ * + * map<string, string> metadata = 1; + */ + public boolean containsMetadata(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetMetadata().getMap().containsKey(key); + } + /** Use {@link #getMetadataMap()} instead. */ + @java.lang.Deprecated + public java.util.Map getMetadata() { + return getMetadataMap(); + } + /** + * + * + * 
+     * Additional domain-specific prediction response metadata.
+     * *  For Image Object Detection:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      image could have been returned.
+     * *  For Video Object Tracking:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      frame could have been returned.
+     *
+ * + * map<string, string> metadata = 1; + */ + public java.util.Map getMetadataMap() { + return internalGetMetadata().getMap(); + } + /** + * + * + * 
+     * Additional domain-specific prediction response metadata.
+     * *  For Image Object Detection:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      image could have been returned.
+     * *  For Video Object Tracking:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      frame could have been returned.
+     *
+ * + * map<string, string> metadata = 1; + */ + public java.lang.String getMetadataOrDefault( + java.lang.String key, java.lang.String defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = internalGetMetadata().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+     * Additional domain-specific prediction response metadata.
+     * *  For Image Object Detection:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      image could have been returned.
+     * *  For Video Object Tracking:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      frame could have been returned.
+     *
+ * + * map<string, string> metadata = 1; + */ + public java.lang.String getMetadataOrThrow(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = internalGetMetadata().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + public Builder clearMetadata() { + internalGetMutableMetadata().getMutableMap().clear(); + return this; + } + /** + * + * + * 
+     * Additional domain-specific prediction response metadata.
+     * *  For Image Object Detection:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      image could have been returned.
+     * *  For Video Object Tracking:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      frame could have been returned.
+     *
+ * + * map<string, string> metadata = 1; + */ + public Builder removeMetadata(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableMetadata().getMutableMap().remove(key); + return this; + } + /** Use alternate mutation accessors instead. */ + @java.lang.Deprecated + public java.util.Map getMutableMetadata() { + return internalGetMutableMetadata().getMutableMap(); + } + /** + * + * + * 
+     * Additional domain-specific prediction response metadata.
+     * *  For Image Object Detection:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      image could have been returned.
+     * *  For Video Object Tracking:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      frame could have been returned.
+     *
+ * + * map<string, string> metadata = 1; + */ + public Builder putMetadata(java.lang.String key, java.lang.String value) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + if (value == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableMetadata().getMutableMap().put(key, value); + return this; + } + /** + * + * + * 
+     * Additional domain-specific prediction response metadata.
+     * *  For Image Object Detection:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      image could have been returned.
+     * *  For Video Object Tracking:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      frame could have been returned.
+     *
+ * + * map<string, string> metadata = 1; + */ + public Builder putAllMetadata(java.util.Map values) { + internalGetMutableMetadata().getMutableMap().putAll(values); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.BatchPredictResult) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.BatchPredictResult) + private static final com.google.cloud.automl.v1beta1.BatchPredictResult DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.BatchPredictResult(); + } + + public static com.google.cloud.automl.v1beta1.BatchPredictResult getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public BatchPredictResult parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new BatchPredictResult(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BatchPredictResult getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictResultOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictResultOrBuilder.java new file mode 100644 index 000000000..1ff326dbf --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictResultOrBuilder.java @@ -0,0 +1,109 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/prediction_service.proto + +package com.google.cloud.automl.v1beta1; + +public interface BatchPredictResultOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.BatchPredictResult) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Additional domain-specific prediction response metadata.
+   * *  For Image Object Detection:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      image could have been returned.
+   * *  For Video Object Tracking:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      frame could have been returned.
+   *
+ * + * map<string, string> metadata = 1; + */ + int getMetadataCount(); + /** + * + * + * 
+   * Additional domain-specific prediction response metadata.
+   * *  For Image Object Detection:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      image could have been returned.
+   * *  For Video Object Tracking:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      frame could have been returned.
+   *
+ * + * map<string, string> metadata = 1; + */ + boolean containsMetadata(java.lang.String key); + /** Use {@link #getMetadataMap()} instead. */ + @java.lang.Deprecated + java.util.Map getMetadata(); + /** + * + * + * 
+   * Additional domain-specific prediction response metadata.
+   * *  For Image Object Detection:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      image could have been returned.
+   * *  For Video Object Tracking:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      frame could have been returned.
+   *
+ * + * map<string, string> metadata = 1; + */ + java.util.Map getMetadataMap(); + /** + * + * + * 
+   * Additional domain-specific prediction response metadata.
+   * *  For Image Object Detection:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      image could have been returned.
+   * *  For Video Object Tracking:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      frame could have been returned.
+   *
+ * + * map<string, string> metadata = 1; + */ + java.lang.String getMetadataOrDefault(java.lang.String key, java.lang.String defaultValue); + /** + * + * + * 
+   * Additional domain-specific prediction response metadata.
+   * *  For Image Object Detection:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      image could have been returned.
+   * *  For Video Object Tracking:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      frame could have been returned.
+   *
+ * + * map<string, string> metadata = 1; + */ + java.lang.String getMetadataOrThrow(java.lang.String key); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQueryDestination.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQueryDestination.java new file mode 100644 index 000000000..aafe1e282 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQueryDestination.java @@ -0,0 +1,648 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/io.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * The BigQuery location for the output content.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.BigQueryDestination} + */ +public final class BigQueryDestination extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.BigQueryDestination) + BigQueryDestinationOrBuilder { + private static final long serialVersionUID = 0L; + // Use BigQueryDestination.newBuilder() to construct. + private BigQueryDestination(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private BigQueryDestination() { + outputUri_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new BigQueryDestination(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private BigQueryDestination( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + outputUri_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_BigQueryDestination_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_BigQueryDestination_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.BigQueryDestination.class, + com.google.cloud.automl.v1beta1.BigQueryDestination.Builder.class); + } + + public static final int OUTPUT_URI_FIELD_NUMBER = 1; + private volatile java.lang.Object outputUri_; + /** + * + * + * 
+   * Required. BigQuery URI to a project, up to 2000 characters long.
+   * Accepted forms:
+   * *  BigQuery path e.g. bq://projectId
+   *
+ * + * string output_uri = 1; + * + * @return The outputUri. + */ + public java.lang.String getOutputUri() { + java.lang.Object ref = outputUri_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + outputUri_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. BigQuery URI to a project, up to 2000 characters long.
+   * Accepted forms:
+   * *  BigQuery path e.g. bq://projectId
+   *
+ * + * string output_uri = 1; + * + * @return The bytes for outputUri. + */ + public com.google.protobuf.ByteString getOutputUriBytes() { + java.lang.Object ref = outputUri_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + outputUri_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getOutputUriBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, outputUri_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getOutputUriBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, outputUri_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.BigQueryDestination)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.BigQueryDestination other = + (com.google.cloud.automl.v1beta1.BigQueryDestination) obj; + + if (!getOutputUri().equals(other.getOutputUri())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + OUTPUT_URI_FIELD_NUMBER; + hash = (53 * hash) + getOutputUri().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.BigQueryDestination parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BigQueryDestination parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BigQueryDestination parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BigQueryDestination parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BigQueryDestination parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BigQueryDestination parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BigQueryDestination parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BigQueryDestination parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BigQueryDestination parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BigQueryDestination parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BigQueryDestination parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BigQueryDestination parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.BigQueryDestination prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * The BigQuery location for the output content.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.BigQueryDestination} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.BigQueryDestination) + com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_BigQueryDestination_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_BigQueryDestination_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.BigQueryDestination.class, + com.google.cloud.automl.v1beta1.BigQueryDestination.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.BigQueryDestination.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + outputUri_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_BigQueryDestination_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BigQueryDestination getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BigQueryDestination build() { + com.google.cloud.automl.v1beta1.BigQueryDestination result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BigQueryDestination buildPartial() { + com.google.cloud.automl.v1beta1.BigQueryDestination result = + new com.google.cloud.automl.v1beta1.BigQueryDestination(this); + result.outputUri_ = outputUri_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.BigQueryDestination) { + return mergeFrom((com.google.cloud.automl.v1beta1.BigQueryDestination) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.BigQueryDestination other) { + if (other == com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance()) + return this; + if (!other.getOutputUri().isEmpty()) { + outputUri_ = other.outputUri_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.BigQueryDestination parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.BigQueryDestination) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object outputUri_ = ""; + /** + * + * + * 
+     * Required. BigQuery URI to a project, up to 2000 characters long.
+     * Accepted forms:
+     * *  BigQuery path e.g. bq://projectId
+     *
+ * + * string output_uri = 1; + * + * @return The outputUri. + */ + public java.lang.String getOutputUri() { + java.lang.Object ref = outputUri_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + outputUri_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. BigQuery URI to a project, up to 2000 characters long.
+     * Accepted forms:
+     * *  BigQuery path e.g. bq://projectId
+     *
+ * + * string output_uri = 1; + * + * @return The bytes for outputUri. + */ + public com.google.protobuf.ByteString getOutputUriBytes() { + java.lang.Object ref = outputUri_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + outputUri_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. BigQuery URI to a project, up to 2000 characters long.
+     * Accepted forms:
+     * *  BigQuery path e.g. bq://projectId
+     *
+ * + * string output_uri = 1; + * + * @param value The outputUri to set. + * @return This builder for chaining. + */ + public Builder setOutputUri(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + outputUri_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. BigQuery URI to a project, up to 2000 characters long.
+     * Accepted forms:
+     * *  BigQuery path e.g. bq://projectId
+     *
+ * + * string output_uri = 1; + * + * @return This builder for chaining. + */ + public Builder clearOutputUri() { + + outputUri_ = getDefaultInstance().getOutputUri(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. BigQuery URI to a project, up to 2000 characters long.
+     * Accepted forms:
+     * *  BigQuery path e.g. bq://projectId
+     *
+ * + * string output_uri = 1; + * + * @param value The bytes for outputUri to set. + * @return This builder for chaining. + */ + public Builder setOutputUriBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + outputUri_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.BigQueryDestination) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.BigQueryDestination) + private static final com.google.cloud.automl.v1beta1.BigQueryDestination DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.BigQueryDestination(); + } + + public static com.google.cloud.automl.v1beta1.BigQueryDestination getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public BigQueryDestination parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new BigQueryDestination(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BigQueryDestination getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQueryDestinationOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQueryDestinationOrBuilder.java new file mode 100644 index 000000000..9f8aadcbe --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQueryDestinationOrBuilder.java @@ -0,0 +1,54 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/io.proto + +package com.google.cloud.automl.v1beta1; + +public interface BigQueryDestinationOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.BigQueryDestination) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. BigQuery URI to a project, up to 2000 characters long.
+   * Accepted forms:
+   * *  BigQuery path e.g. bq://projectId
+   *
+ * + * string output_uri = 1; + * + * @return The outputUri. + */ + java.lang.String getOutputUri(); + /** + * + * + * 
+   * Required. BigQuery URI to a project, up to 2000 characters long.
+   * Accepted forms:
+   * *  BigQuery path e.g. bq://projectId
+   *
+ * + * string output_uri = 1; + * + * @return The bytes for outputUri. + */ + com.google.protobuf.ByteString getOutputUriBytes(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQuerySource.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQuerySource.java new file mode 100644 index 000000000..d36ce622a --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQuerySource.java @@ -0,0 +1,646 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/io.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * The BigQuery location for the input content.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.BigQuerySource} + */ +public final class BigQuerySource extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.BigQuerySource) + BigQuerySourceOrBuilder { + private static final long serialVersionUID = 0L; + // Use BigQuerySource.newBuilder() to construct. + private BigQuerySource(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private BigQuerySource() { + inputUri_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new BigQuerySource(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private BigQuerySource( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + inputUri_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_BigQuerySource_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_BigQuerySource_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.BigQuerySource.class, + com.google.cloud.automl.v1beta1.BigQuerySource.Builder.class); + } + + public static final int INPUT_URI_FIELD_NUMBER = 1; + private volatile java.lang.Object inputUri_; + /** + * + * + * 
+   * Required. BigQuery URI to a table, up to 2000 characters long.
+   * Accepted forms:
+   * *  BigQuery path e.g. bq://projectId.bqDatasetId.bqTableId
+   *
+ * + * string input_uri = 1; + * + * @return The inputUri. + */ + public java.lang.String getInputUri() { + java.lang.Object ref = inputUri_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + inputUri_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. BigQuery URI to a table, up to 2000 characters long.
+   * Accepted forms:
+   * *  BigQuery path e.g. bq://projectId.bqDatasetId.bqTableId
+   *
+ * + * string input_uri = 1; + * + * @return The bytes for inputUri. + */ + public com.google.protobuf.ByteString getInputUriBytes() { + java.lang.Object ref = inputUri_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + inputUri_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getInputUriBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, inputUri_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getInputUriBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, inputUri_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.BigQuerySource)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.BigQuerySource other = + (com.google.cloud.automl.v1beta1.BigQuerySource) obj; + + if (!getInputUri().equals(other.getInputUri())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + INPUT_URI_FIELD_NUMBER; + hash = (53 * hash) + getInputUri().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.BigQuerySource parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BigQuerySource parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BigQuerySource parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BigQuerySource parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BigQuerySource parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BigQuerySource parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BigQuerySource parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BigQuerySource parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BigQuerySource parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BigQuerySource parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BigQuerySource parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BigQuerySource parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.BigQuerySource prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * The BigQuery location for the input content.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.BigQuerySource} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.BigQuerySource) + com.google.cloud.automl.v1beta1.BigQuerySourceOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_BigQuerySource_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_BigQuerySource_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.BigQuerySource.class, + com.google.cloud.automl.v1beta1.BigQuerySource.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.BigQuerySource.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + inputUri_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_BigQuerySource_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BigQuerySource getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BigQuerySource build() { + com.google.cloud.automl.v1beta1.BigQuerySource result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BigQuerySource buildPartial() { + com.google.cloud.automl.v1beta1.BigQuerySource result = + new com.google.cloud.automl.v1beta1.BigQuerySource(this); + result.inputUri_ = inputUri_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.BigQuerySource) { + return mergeFrom((com.google.cloud.automl.v1beta1.BigQuerySource) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.BigQuerySource other) { + if (other == com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance()) return this; + if (!other.getInputUri().isEmpty()) { + inputUri_ = other.inputUri_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.BigQuerySource parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.BigQuerySource) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object inputUri_ = ""; + /** + * + * + * 
+     * Required. BigQuery URI to a table, up to 2000 characters long.
+     * Accepted forms:
+     * *  BigQuery path e.g. bq://projectId.bqDatasetId.bqTableId
+     *
+ * + * string input_uri = 1; + * + * @return The inputUri. + */ + public java.lang.String getInputUri() { + java.lang.Object ref = inputUri_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + inputUri_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. BigQuery URI to a table, up to 2000 characters long.
+     * Accepted forms:
+     * *  BigQuery path e.g. bq://projectId.bqDatasetId.bqTableId
+     *
+ * + * string input_uri = 1; + * + * @return The bytes for inputUri. + */ + public com.google.protobuf.ByteString getInputUriBytes() { + java.lang.Object ref = inputUri_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + inputUri_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. BigQuery URI to a table, up to 2000 characters long.
+     * Accepted forms:
+     * *  BigQuery path e.g. bq://projectId.bqDatasetId.bqTableId
+     *
+ * + * string input_uri = 1; + * + * @param value The inputUri to set. + * @return This builder for chaining. + */ + public Builder setInputUri(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + inputUri_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. BigQuery URI to a table, up to 2000 characters long.
+     * Accepted forms:
+     * *  BigQuery path e.g. bq://projectId.bqDatasetId.bqTableId
+     *
+ * + * string input_uri = 1; + * + * @return This builder for chaining. + */ + public Builder clearInputUri() { + + inputUri_ = getDefaultInstance().getInputUri(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. BigQuery URI to a table, up to 2000 characters long.
+     * Accepted forms:
+     * *  BigQuery path e.g. bq://projectId.bqDatasetId.bqTableId
+     *
+ * + * string input_uri = 1; + * + * @param value The bytes for inputUri to set. + * @return This builder for chaining. + */ + public Builder setInputUriBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + inputUri_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.BigQuerySource) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.BigQuerySource) + private static final com.google.cloud.automl.v1beta1.BigQuerySource DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.BigQuerySource(); + } + + public static com.google.cloud.automl.v1beta1.BigQuerySource getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public BigQuerySource parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new BigQuerySource(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BigQuerySource getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQuerySourceOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQuerySourceOrBuilder.java new file mode 100644 index 000000000..e8c336291 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQuerySourceOrBuilder.java @@ -0,0 +1,54 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/io.proto + +package com.google.cloud.automl.v1beta1; + +public interface BigQuerySourceOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.BigQuerySource) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. BigQuery URI to a table, up to 2000 characters long.
+   * Accepted forms:
+   * *  BigQuery path e.g. bq://projectId.bqDatasetId.bqTableId
+   *
+ * + * string input_uri = 1; + * + * @return The inputUri. + */ + java.lang.String getInputUri(); + /** + * + * + * 
+   * Required. BigQuery URI to a table, up to 2000 characters long.
+   * Accepted forms:
+   * *  BigQuery path e.g. bq://projectId.bqDatasetId.bqTableId
+   *
+ * + * string input_uri = 1; + * + * @return The bytes for inputUri. + */ + com.google.protobuf.ByteString getInputUriBytes(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingBoxMetricsEntry.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingBoxMetricsEntry.java new file mode 100644 index 000000000..9355f9796 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingBoxMetricsEntry.java @@ -0,0 +1,2168 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/detection.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Bounding box matching model metrics for a single intersection-over-union
+ * threshold and multiple label match confidence thresholds.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.BoundingBoxMetricsEntry} + */ +public final class BoundingBoxMetricsEntry extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.BoundingBoxMetricsEntry) + BoundingBoxMetricsEntryOrBuilder { + private static final long serialVersionUID = 0L; + // Use BoundingBoxMetricsEntry.newBuilder() to construct. + private BoundingBoxMetricsEntry(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private BoundingBoxMetricsEntry() { + confidenceMetricsEntries_ = java.util.Collections.emptyList(); + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new BoundingBoxMetricsEntry(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private BoundingBoxMetricsEntry( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 13: + { + iouThreshold_ = input.readFloat(); + break; + } + case 21: + { + meanAveragePrecision_ = input.readFloat(); + break; + } + case 26: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + confidenceMetricsEntries_ = + new java.util.ArrayList< + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry + .ConfidenceMetricsEntry>(); + mutable_bitField0_ |= 0x00000001; + } + confidenceMetricsEntries_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + .parser(), + extensionRegistry)); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + confidenceMetricsEntries_ = + java.util.Collections.unmodifiableList(confidenceMetricsEntries_); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.class, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder.class); + } + + public interface ConfidenceMetricsEntryOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+     * Output only. The confidence threshold value used to compute the metrics.
+     *
+ * + * float confidence_threshold = 1; + * + * @return The confidenceThreshold. + */ + float getConfidenceThreshold(); + + /** + * + * + * 
+     * Output only. Recall under the given confidence threshold.
+     *
+ * + * float recall = 2; + * + * @return The recall. + */ + float getRecall(); + + /** + * + * + * 
+     * Output only. Precision under the given confidence threshold.
+     *
+ * + * float precision = 3; + * + * @return The precision. + */ + float getPrecision(); + + /** + * + * + * 
+     * Output only. The harmonic mean of recall and precision.
+     *
+ * + * float f1_score = 4; + * + * @return The f1Score. + */ + float getF1Score(); + } + /** + * + * + * 
+   * Metrics for a single confidence threshold.
+   *
+ * + * Protobuf type {@code + * google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry} + */ + public static final class ConfidenceMetricsEntry extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry) + ConfidenceMetricsEntryOrBuilder { + private static final long serialVersionUID = 0L; + // Use ConfidenceMetricsEntry.newBuilder() to construct. + private ConfidenceMetricsEntry(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ConfidenceMetricsEntry() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ConfidenceMetricsEntry(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ConfidenceMetricsEntry( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 13: + { + confidenceThreshold_ = input.readFloat(); + break; + } + case 21: + { + recall_ = input.readFloat(); + break; + } + case 29: + { + precision_ = input.readFloat(); + break; + } + case 37: + { + f1Score_ = input.readFloat(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_ConfidenceMetricsEntry_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_ConfidenceMetricsEntry_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry.class, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder + .class); + } + + public static final int CONFIDENCE_THRESHOLD_FIELD_NUMBER = 1; + private float confidenceThreshold_; + /** + * + * + * 
+     * Output only. The confidence threshold value used to compute the metrics.
+     *
+ * + * float confidence_threshold = 1; + * + * @return The confidenceThreshold. + */ + public float getConfidenceThreshold() { + return confidenceThreshold_; + } + + public static final int RECALL_FIELD_NUMBER = 2; + private float recall_; + /** + * + * + * 
+     * Output only. Recall under the given confidence threshold.
+     *
+ * + * float recall = 2; + * + * @return The recall. + */ + public float getRecall() { + return recall_; + } + + public static final int PRECISION_FIELD_NUMBER = 3; + private float precision_; + /** + * + * + * 
+     * Output only. Precision under the given confidence threshold.
+     *
+ * + * float precision = 3; + * + * @return The precision. + */ + public float getPrecision() { + return precision_; + } + + public static final int F1_SCORE_FIELD_NUMBER = 4; + private float f1Score_; + /** + * + * + * 
+     * Output only. The harmonic mean of recall and precision.
+     *
+ * + * float f1_score = 4; + * + * @return The f1Score. + */ + public float getF1Score() { + return f1Score_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (confidenceThreshold_ != 0F) { + output.writeFloat(1, confidenceThreshold_); + } + if (recall_ != 0F) { + output.writeFloat(2, recall_); + } + if (precision_ != 0F) { + output.writeFloat(3, precision_); + } + if (f1Score_ != 0F) { + output.writeFloat(4, f1Score_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (confidenceThreshold_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, confidenceThreshold_); + } + if (recall_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(2, recall_); + } + if (precision_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(3, precision_); + } + if (f1Score_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(4, f1Score_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj + instanceof + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry other = + (com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry) obj; + + if (java.lang.Float.floatToIntBits(getConfidenceThreshold()) + != java.lang.Float.floatToIntBits(other.getConfidenceThreshold())) return false; + if (java.lang.Float.floatToIntBits(getRecall()) + != java.lang.Float.floatToIntBits(other.getRecall())) return false; + if (java.lang.Float.floatToIntBits(getPrecision()) + != java.lang.Float.floatToIntBits(other.getPrecision())) return false; + if (java.lang.Float.floatToIntBits(getF1Score()) + != java.lang.Float.floatToIntBits(other.getF1Score())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + CONFIDENCE_THRESHOLD_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getConfidenceThreshold()); + hash = (37 * hash) + RECALL_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getRecall()); + hash = (37 * hash) + PRECISION_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getPrecision()); + hash = (37 * hash) + F1_SCORE_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getF1Score()); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + parseFrom(com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + parseFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType( + com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+     * Metrics for a single confidence threshold.
+     *
+ * + * Protobuf type {@code + * google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry} + */ + public static final class Builder + extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry) + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_ConfidenceMetricsEntry_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_ConfidenceMetricsEntry_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + .class, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + .Builder.class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + confidenceThreshold_ = 0F; + + recall_ = 0F; + + precision_ = 0F; + + f1Score_ = 0F; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_ConfidenceMetricsEntry_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + .getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + build() { + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry result = + buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + buildPartial() { + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry result = + new com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry( + this); + result.confidenceThreshold_ = confidenceThreshold_; + result.recall_ = recall_; + result.precision_ = precision_; + result.f1Score_ = f1Score_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, + int index, + java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other + instanceof + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry) + other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry other) { + if (other + == com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + .getDefaultInstance()) return this; + if (other.getConfidenceThreshold() != 0F) { + setConfidenceThreshold(other.getConfidenceThreshold()); + } + if (other.getRecall() != 0F) { + setRecall(other.getRecall()); + } + if (other.getPrecision() != 0F) { + setPrecision(other.getPrecision()); + } + if (other.getF1Score() != 0F) { + setF1Score(other.getF1Score()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private float confidenceThreshold_; + /** + * + * + * 
+       * Output only. The confidence threshold value used to compute the metrics.
+       *
+ * + * float confidence_threshold = 1; + * + * @return The confidenceThreshold. + */ + public float getConfidenceThreshold() { + return confidenceThreshold_; + } + /** + * + * + * 
+       * Output only. The confidence threshold value used to compute the metrics.
+       *
+ * + * float confidence_threshold = 1; + * + * @param value The confidenceThreshold to set. + * @return This builder for chaining. + */ + public Builder setConfidenceThreshold(float value) { + + confidenceThreshold_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. The confidence threshold value used to compute the metrics.
+       *
+ * + * float confidence_threshold = 1; + * + * @return This builder for chaining. + */ + public Builder clearConfidenceThreshold() { + + confidenceThreshold_ = 0F; + onChanged(); + return this; + } + + private float recall_; + /** + * + * + * 
+       * Output only. Recall under the given confidence threshold.
+       *
+ * + * float recall = 2; + * + * @return The recall. + */ + public float getRecall() { + return recall_; + } + /** + * + * + * 
+       * Output only. Recall under the given confidence threshold.
+       *
+ * + * float recall = 2; + * + * @param value The recall to set. + * @return This builder for chaining. + */ + public Builder setRecall(float value) { + + recall_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. Recall under the given confidence threshold.
+       *
+ * + * float recall = 2; + * + * @return This builder for chaining. + */ + public Builder clearRecall() { + + recall_ = 0F; + onChanged(); + return this; + } + + private float precision_; + /** + * + * + * 
+       * Output only. Precision under the given confidence threshold.
+       *
+ * + * float precision = 3; + * + * @return The precision. + */ + public float getPrecision() { + return precision_; + } + /** + * + * + * 
+       * Output only. Precision under the given confidence threshold.
+       *
+ * + * float precision = 3; + * + * @param value The precision to set. + * @return This builder for chaining. + */ + public Builder setPrecision(float value) { + + precision_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. Precision under the given confidence threshold.
+       *
+ * + * float precision = 3; + * + * @return This builder for chaining. + */ + public Builder clearPrecision() { + + precision_ = 0F; + onChanged(); + return this; + } + + private float f1Score_; + /** + * + * + * 
+       * Output only. The harmonic mean of recall and precision.
+       *
+ * + * float f1_score = 4; + * + * @return The f1Score. + */ + public float getF1Score() { + return f1Score_; + } + /** + * + * + * 
+       * Output only. The harmonic mean of recall and precision.
+       *
+ * + * float f1_score = 4; + * + * @param value The f1Score to set. + * @return This builder for chaining. + */ + public Builder setF1Score(float value) { + + f1Score_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. The harmonic mean of recall and precision.
+       *
+ * + * float f1_score = 4; + * + * @return This builder for chaining. + */ + public Builder clearF1Score() { + + f1Score_ = 0F; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry) + private static final com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry + .ConfidenceMetricsEntry + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = + new com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry(); + } + + public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ConfidenceMetricsEntry parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ConfidenceMetricsEntry(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } + } + + public static final int IOU_THRESHOLD_FIELD_NUMBER = 1; + private float iouThreshold_; + /** + * + * + * 
+   * Output only. The intersection-over-union threshold value used to compute
+   * this metrics entry.
+   *
+ * + * float iou_threshold = 1; + * + * @return The iouThreshold. + */ + public float getIouThreshold() { + return iouThreshold_; + } + + public static final int MEAN_AVERAGE_PRECISION_FIELD_NUMBER = 2; + private float meanAveragePrecision_; + /** + * + * + * 
+   * Output only. The mean average precision, most often close to au_prc.
+   *
+ * + * float mean_average_precision = 2; + * + * @return The meanAveragePrecision. + */ + public float getMeanAveragePrecision() { + return meanAveragePrecision_; + } + + public static final int CONFIDENCE_METRICS_ENTRIES_FIELD_NUMBER = 3; + private java.util.List< + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry> + confidenceMetricsEntries_; + /** + * + * + * 
+   * Output only. Metrics for each label-match confidence_threshold from
+   * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+   * derived from them.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + public java.util.List< + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry> + getConfidenceMetricsEntriesList() { + return confidenceMetricsEntries_; + } + /** + * + * + * 
+   * Output only. Metrics for each label-match confidence_threshold from
+   * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+   * derived from them.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + public java.util.List< + ? extends + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry + .ConfidenceMetricsEntryOrBuilder> + getConfidenceMetricsEntriesOrBuilderList() { + return confidenceMetricsEntries_; + } + /** + * + * + * 
+   * Output only. Metrics for each label-match confidence_threshold from
+   * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+   * derived from them.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + public int getConfidenceMetricsEntriesCount() { + return confidenceMetricsEntries_.size(); + } + /** + * + * + * 
+   * Output only. Metrics for each label-match confidence_threshold from
+   * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+   * derived from them.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + getConfidenceMetricsEntries(int index) { + return confidenceMetricsEntries_.get(index); + } + /** + * + * + * 
+   * Output only. Metrics for each label-match confidence_threshold from
+   * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+   * derived from them.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder + getConfidenceMetricsEntriesOrBuilder(int index) { + return confidenceMetricsEntries_.get(index); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (iouThreshold_ != 0F) { + output.writeFloat(1, iouThreshold_); + } + if (meanAveragePrecision_ != 0F) { + output.writeFloat(2, meanAveragePrecision_); + } + for (int i = 0; i < confidenceMetricsEntries_.size(); i++) { + output.writeMessage(3, confidenceMetricsEntries_.get(i)); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (iouThreshold_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, iouThreshold_); + } + if (meanAveragePrecision_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(2, meanAveragePrecision_); + } + for (int i = 0; i < confidenceMetricsEntries_.size(); i++) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 3, confidenceMetricsEntries_.get(i)); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry other = + (com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry) obj; + + if (java.lang.Float.floatToIntBits(getIouThreshold()) + != java.lang.Float.floatToIntBits(other.getIouThreshold())) return false; + if (java.lang.Float.floatToIntBits(getMeanAveragePrecision()) + != java.lang.Float.floatToIntBits(other.getMeanAveragePrecision())) return false; + if (!getConfidenceMetricsEntriesList().equals(other.getConfidenceMetricsEntriesList())) + return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + IOU_THRESHOLD_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getIouThreshold()); + hash = (37 * hash) + MEAN_AVERAGE_PRECISION_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getMeanAveragePrecision()); + if (getConfidenceMetricsEntriesCount() > 0) { + hash = (37 * hash) + CONFIDENCE_METRICS_ENTRIES_FIELD_NUMBER; + hash = (53 * hash) + getConfidenceMetricsEntriesList().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Bounding box matching model metrics for a single intersection-over-union
+   * threshold and multiple label match confidence thresholds.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.BoundingBoxMetricsEntry} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.BoundingBoxMetricsEntry) + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.class, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getConfidenceMetricsEntriesFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + iouThreshold_ = 0F; + + meanAveragePrecision_ = 0F; + + if (confidenceMetricsEntriesBuilder_ == null) { + confidenceMetricsEntries_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + } else { + confidenceMetricsEntriesBuilder_.clear(); + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry build() { + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry buildPartial() { + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry result = + new com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry(this); + int from_bitField0_ = bitField0_; + result.iouThreshold_ = iouThreshold_; + result.meanAveragePrecision_ = meanAveragePrecision_; + if (confidenceMetricsEntriesBuilder_ == null) { + if (((bitField0_ & 0x00000001) != 0)) { + confidenceMetricsEntries_ = + java.util.Collections.unmodifiableList(confidenceMetricsEntries_); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.confidenceMetricsEntries_ = confidenceMetricsEntries_; + } else { + result.confidenceMetricsEntries_ = confidenceMetricsEntriesBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry) { + return mergeFrom((com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry other) { + if (other == com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.getDefaultInstance()) + return this; + if (other.getIouThreshold() != 0F) { + setIouThreshold(other.getIouThreshold()); + } + if (other.getMeanAveragePrecision() != 0F) { + setMeanAveragePrecision(other.getMeanAveragePrecision()); + } + if (confidenceMetricsEntriesBuilder_ == null) { + if (!other.confidenceMetricsEntries_.isEmpty()) { + if (confidenceMetricsEntries_.isEmpty()) { + confidenceMetricsEntries_ = other.confidenceMetricsEntries_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensureConfidenceMetricsEntriesIsMutable(); + confidenceMetricsEntries_.addAll(other.confidenceMetricsEntries_); + } + onChanged(); + } + } else { + if (!other.confidenceMetricsEntries_.isEmpty()) { + if (confidenceMetricsEntriesBuilder_.isEmpty()) { + confidenceMetricsEntriesBuilder_.dispose(); + confidenceMetricsEntriesBuilder_ = null; + confidenceMetricsEntries_ = other.confidenceMetricsEntries_; + bitField0_ = (bitField0_ & ~0x00000001); + confidenceMetricsEntriesBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getConfidenceMetricsEntriesFieldBuilder() + : null; + } else { + confidenceMetricsEntriesBuilder_.addAllMessages(other.confidenceMetricsEntries_); + } + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private float iouThreshold_; + /** + * + * + * 
+     * Output only. The intersection-over-union threshold value used to compute
+     * this metrics entry.
+     *
+ * + * float iou_threshold = 1; + * + * @return The iouThreshold. + */ + public float getIouThreshold() { + return iouThreshold_; + } + /** + * + * + * 
+     * Output only. The intersection-over-union threshold value used to compute
+     * this metrics entry.
+     *
+ * + * float iou_threshold = 1; + * + * @param value The iouThreshold to set. + * @return This builder for chaining. + */ + public Builder setIouThreshold(float value) { + + iouThreshold_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The intersection-over-union threshold value used to compute
+     * this metrics entry.
+     *
+ * + * float iou_threshold = 1; + * + * @return This builder for chaining. + */ + public Builder clearIouThreshold() { + + iouThreshold_ = 0F; + onChanged(); + return this; + } + + private float meanAveragePrecision_; + /** + * + * + * 
+     * Output only. The mean average precision, most often close to au_prc.
+     *
+ * + * float mean_average_precision = 2; + * + * @return The meanAveragePrecision. + */ + public float getMeanAveragePrecision() { + return meanAveragePrecision_; + } + /** + * + * + * 
+     * Output only. The mean average precision, most often close to au_prc.
+     *
+ * + * float mean_average_precision = 2; + * + * @param value The meanAveragePrecision to set. + * @return This builder for chaining. + */ + public Builder setMeanAveragePrecision(float value) { + + meanAveragePrecision_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The mean average precision, most often close to au_prc.
+     *
+ * + * float mean_average_precision = 2; + * + * @return This builder for chaining. + */ + public Builder clearMeanAveragePrecision() { + + meanAveragePrecision_ = 0F; + onChanged(); + return this; + } + + private java.util.List< + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry> + confidenceMetricsEntries_ = java.util.Collections.emptyList(); + + private void ensureConfidenceMetricsEntriesIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + confidenceMetricsEntries_ = + new java.util.ArrayList< + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry>( + confidenceMetricsEntries_); + bitField0_ |= 0x00000001; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder> + confidenceMetricsEntriesBuilder_; + + /** + * + * + * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + public java.util.List< + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry> + getConfidenceMetricsEntriesList() { + if (confidenceMetricsEntriesBuilder_ == null) { + return java.util.Collections.unmodifiableList(confidenceMetricsEntries_); + } else { + return confidenceMetricsEntriesBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + public int getConfidenceMetricsEntriesCount() { + if (confidenceMetricsEntriesBuilder_ == null) { + return confidenceMetricsEntries_.size(); + } else { + return confidenceMetricsEntriesBuilder_.getCount(); + } + } + /** + * + * + * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + getConfidenceMetricsEntries(int index) { + if (confidenceMetricsEntriesBuilder_ == null) { + return confidenceMetricsEntries_.get(index); + } else { + return confidenceMetricsEntriesBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + public Builder setConfidenceMetricsEntries( + int index, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry value) { + if (confidenceMetricsEntriesBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureConfidenceMetricsEntriesIsMutable(); + confidenceMetricsEntries_.set(index, value); + onChanged(); + } else { + confidenceMetricsEntriesBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + public Builder setConfidenceMetricsEntries( + int index, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder + builderForValue) { + if (confidenceMetricsEntriesBuilder_ == null) { + ensureConfidenceMetricsEntriesIsMutable(); + confidenceMetricsEntries_.set(index, builderForValue.build()); + onChanged(); + } else { + confidenceMetricsEntriesBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + public Builder addConfidenceMetricsEntries( + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry value) { + if (confidenceMetricsEntriesBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureConfidenceMetricsEntriesIsMutable(); + confidenceMetricsEntries_.add(value); + onChanged(); + } else { + confidenceMetricsEntriesBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + public Builder addConfidenceMetricsEntries( + int index, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry value) { + if (confidenceMetricsEntriesBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureConfidenceMetricsEntriesIsMutable(); + confidenceMetricsEntries_.add(index, value); + onChanged(); + } else { + confidenceMetricsEntriesBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + public Builder addConfidenceMetricsEntries( + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder + builderForValue) { + if (confidenceMetricsEntriesBuilder_ == null) { + ensureConfidenceMetricsEntriesIsMutable(); + confidenceMetricsEntries_.add(builderForValue.build()); + onChanged(); + } else { + confidenceMetricsEntriesBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + public Builder addConfidenceMetricsEntries( + int index, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder + builderForValue) { + if (confidenceMetricsEntriesBuilder_ == null) { + ensureConfidenceMetricsEntriesIsMutable(); + confidenceMetricsEntries_.add(index, builderForValue.build()); + onChanged(); + } else { + confidenceMetricsEntriesBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + public Builder addAllConfidenceMetricsEntries( + java.lang.Iterable< + ? extends + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry> + values) { + if (confidenceMetricsEntriesBuilder_ == null) { + ensureConfidenceMetricsEntriesIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, confidenceMetricsEntries_); + onChanged(); + } else { + confidenceMetricsEntriesBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + public Builder clearConfidenceMetricsEntries() { + if (confidenceMetricsEntriesBuilder_ == null) { + confidenceMetricsEntries_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + } else { + confidenceMetricsEntriesBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + public Builder removeConfidenceMetricsEntries(int index) { + if (confidenceMetricsEntriesBuilder_ == null) { + ensureConfidenceMetricsEntriesIsMutable(); + confidenceMetricsEntries_.remove(index); + onChanged(); + } else { + confidenceMetricsEntriesBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder + getConfidenceMetricsEntriesBuilder(int index) { + return getConfidenceMetricsEntriesFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder + getConfidenceMetricsEntriesOrBuilder(int index) { + if (confidenceMetricsEntriesBuilder_ == null) { + return confidenceMetricsEntries_.get(index); + } else { + return confidenceMetricsEntriesBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + public java.util.List< + ? extends + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry + .ConfidenceMetricsEntryOrBuilder> + getConfidenceMetricsEntriesOrBuilderList() { + if (confidenceMetricsEntriesBuilder_ != null) { + return confidenceMetricsEntriesBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(confidenceMetricsEntries_); + } + } + /** + * + * + * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder + addConfidenceMetricsEntriesBuilder() { + return getConfidenceMetricsEntriesFieldBuilder() + .addBuilder( + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + .getDefaultInstance()); + } + /** + * + * + * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder + addConfidenceMetricsEntriesBuilder(int index) { + return getConfidenceMetricsEntriesFieldBuilder() + .addBuilder( + index, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + .getDefaultInstance()); + } + /** + * + * + * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + public java.util.List< + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder> + getConfidenceMetricsEntriesBuilderList() { + return getConfidenceMetricsEntriesFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder> + getConfidenceMetricsEntriesFieldBuilder() { + if (confidenceMetricsEntriesBuilder_ == null) { + confidenceMetricsEntriesBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + .Builder, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry + .ConfidenceMetricsEntryOrBuilder>( + confidenceMetricsEntries_, + ((bitField0_ & 0x00000001) != 0), + getParentForChildren(), + isClean()); + confidenceMetricsEntries_ = null; + } + return confidenceMetricsEntriesBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.BoundingBoxMetricsEntry) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.BoundingBoxMetricsEntry) + private static final com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry(); + } + + public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public BoundingBoxMetricsEntry parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new BoundingBoxMetricsEntry(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingBoxMetricsEntryOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingBoxMetricsEntryOrBuilder.java new file mode 100644 index 000000000..b075bb92e --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingBoxMetricsEntryOrBuilder.java @@ -0,0 +1,130 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/detection.proto + +package com.google.cloud.automl.v1beta1; + +public interface BoundingBoxMetricsEntryOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.BoundingBoxMetricsEntry) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Output only. The intersection-over-union threshold value used to compute
+   * this metrics entry.
+   *
+ * + * float iou_threshold = 1; + * + * @return The iouThreshold. + */ + float getIouThreshold(); + + /** + * + * + * 
+   * Output only. The mean average precision, most often close to au_prc.
+   *
+ * + * float mean_average_precision = 2; + * + * @return The meanAveragePrecision. + */ + float getMeanAveragePrecision(); + + /** + * + * + * 
+   * Output only. Metrics for each label-match confidence_threshold from
+   * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+   * derived from them.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + java.util.List + getConfidenceMetricsEntriesList(); + /** + * + * + * 
+   * Output only. Metrics for each label-match confidence_threshold from
+   * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+   * derived from them.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry + getConfidenceMetricsEntries(int index); + /** + * + * + * 
+   * Output only. Metrics for each label-match confidence_threshold from
+   * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+   * derived from them.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + int getConfidenceMetricsEntriesCount(); + /** + * + * + * 
+   * Output only. Metrics for each label-match confidence_threshold from
+   * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+   * derived from them.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + java.util.List< + ? extends + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry + .ConfidenceMetricsEntryOrBuilder> + getConfidenceMetricsEntriesOrBuilderList(); + /** + * + * + * 
+   * Output only. Metrics for each label-match confidence_threshold from
+   * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+   * derived from them.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3; + * + */ + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder + getConfidenceMetricsEntriesOrBuilder(int index); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingPoly.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingPoly.java new file mode 100644 index 000000000..0aaf8f1dc --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingPoly.java @@ -0,0 +1,963 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/geometry.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * A bounding polygon of a detected object on a plane.
+ * On output both vertices and normalized_vertices are provided.
+ * The polygon is formed by connecting vertices in the order they are listed.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.BoundingPoly} + */ +public final class BoundingPoly extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.BoundingPoly) + BoundingPolyOrBuilder { + private static final long serialVersionUID = 0L; + // Use BoundingPoly.newBuilder() to construct. + private BoundingPoly(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private BoundingPoly() { + normalizedVertices_ = java.util.Collections.emptyList(); + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new BoundingPoly(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private BoundingPoly( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 18: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + normalizedVertices_ = + new java.util.ArrayList(); + mutable_bitField0_ |= 0x00000001; + } + normalizedVertices_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.NormalizedVertex.parser(), + extensionRegistry)); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + normalizedVertices_ = java.util.Collections.unmodifiableList(normalizedVertices_); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Geometry + .internal_static_google_cloud_automl_v1beta1_BoundingPoly_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Geometry + .internal_static_google_cloud_automl_v1beta1_BoundingPoly_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.BoundingPoly.class, + com.google.cloud.automl.v1beta1.BoundingPoly.Builder.class); + } + + public static final int NORMALIZED_VERTICES_FIELD_NUMBER = 2; + private java.util.List normalizedVertices_; + /** + * + * + * 
+   * Output only . The bounding polygon normalized vertices.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + public java.util.List + getNormalizedVerticesList() { + return normalizedVertices_; + } + /** + * + * + * 
+   * Output only . The bounding polygon normalized vertices.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + public java.util.List + getNormalizedVerticesOrBuilderList() { + return normalizedVertices_; + } + /** + * + * + * 
+   * Output only . The bounding polygon normalized vertices.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + public int getNormalizedVerticesCount() { + return normalizedVertices_.size(); + } + /** + * + * + * 
+   * Output only . The bounding polygon normalized vertices.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + public com.google.cloud.automl.v1beta1.NormalizedVertex getNormalizedVertices(int index) { + return normalizedVertices_.get(index); + } + /** + * + * + * 
+   * Output only . The bounding polygon normalized vertices.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + public com.google.cloud.automl.v1beta1.NormalizedVertexOrBuilder getNormalizedVerticesOrBuilder( + int index) { + return normalizedVertices_.get(index); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + for (int i = 0; i < normalizedVertices_.size(); i++) { + output.writeMessage(2, normalizedVertices_.get(i)); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + for (int i = 0; i < normalizedVertices_.size(); i++) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize(2, normalizedVertices_.get(i)); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.BoundingPoly)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.BoundingPoly other = + (com.google.cloud.automl.v1beta1.BoundingPoly) obj; + + if (!getNormalizedVerticesList().equals(other.getNormalizedVerticesList())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (getNormalizedVerticesCount() > 0) { + hash = (37 * hash) + NORMALIZED_VERTICES_FIELD_NUMBER; + hash = (53 * hash) + getNormalizedVerticesList().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.BoundingPoly parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BoundingPoly parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BoundingPoly parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BoundingPoly parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BoundingPoly parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.BoundingPoly parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BoundingPoly parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BoundingPoly parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BoundingPoly parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BoundingPoly parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.BoundingPoly parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.BoundingPoly parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.BoundingPoly prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * A bounding polygon of a detected object on a plane.
+   * On output both vertices and normalized_vertices are provided.
+   * The polygon is formed by connecting vertices in the order they are listed.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.BoundingPoly} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.BoundingPoly) + com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Geometry + .internal_static_google_cloud_automl_v1beta1_BoundingPoly_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Geometry + .internal_static_google_cloud_automl_v1beta1_BoundingPoly_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.BoundingPoly.class, + com.google.cloud.automl.v1beta1.BoundingPoly.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.BoundingPoly.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getNormalizedVerticesFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (normalizedVerticesBuilder_ == null) { + normalizedVertices_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + } else { + normalizedVerticesBuilder_.clear(); + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Geometry + .internal_static_google_cloud_automl_v1beta1_BoundingPoly_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BoundingPoly getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.BoundingPoly.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BoundingPoly build() { + com.google.cloud.automl.v1beta1.BoundingPoly result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BoundingPoly buildPartial() { + com.google.cloud.automl.v1beta1.BoundingPoly result = + new com.google.cloud.automl.v1beta1.BoundingPoly(this); + int from_bitField0_ = bitField0_; + if (normalizedVerticesBuilder_ == null) { + if (((bitField0_ & 0x00000001) != 0)) { + normalizedVertices_ = java.util.Collections.unmodifiableList(normalizedVertices_); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.normalizedVertices_ = normalizedVertices_; + } else { + result.normalizedVertices_ = normalizedVerticesBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.BoundingPoly) { + return mergeFrom((com.google.cloud.automl.v1beta1.BoundingPoly) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.BoundingPoly other) { + if (other == com.google.cloud.automl.v1beta1.BoundingPoly.getDefaultInstance()) return this; + if (normalizedVerticesBuilder_ == null) { + if (!other.normalizedVertices_.isEmpty()) { + if (normalizedVertices_.isEmpty()) { + normalizedVertices_ = other.normalizedVertices_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensureNormalizedVerticesIsMutable(); + normalizedVertices_.addAll(other.normalizedVertices_); + } + onChanged(); + } + } else { + if (!other.normalizedVertices_.isEmpty()) { + if (normalizedVerticesBuilder_.isEmpty()) { + normalizedVerticesBuilder_.dispose(); + normalizedVerticesBuilder_ = null; + normalizedVertices_ = other.normalizedVertices_; + bitField0_ = (bitField0_ & ~0x00000001); + normalizedVerticesBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getNormalizedVerticesFieldBuilder() + : null; + } else { + normalizedVerticesBuilder_.addAllMessages(other.normalizedVertices_); + } + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.BoundingPoly parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.BoundingPoly) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private java.util.List normalizedVertices_ = + java.util.Collections.emptyList(); + + private void ensureNormalizedVerticesIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + normalizedVertices_ = + new java.util.ArrayList( + normalizedVertices_); + bitField0_ |= 0x00000001; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.NormalizedVertex, + com.google.cloud.automl.v1beta1.NormalizedVertex.Builder, + com.google.cloud.automl.v1beta1.NormalizedVertexOrBuilder> + normalizedVerticesBuilder_; + + /** + * + * + * 
+     * Output only . The bounding polygon normalized vertices.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + public java.util.List + getNormalizedVerticesList() { + if (normalizedVerticesBuilder_ == null) { + return java.util.Collections.unmodifiableList(normalizedVertices_); + } else { + return normalizedVerticesBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * Output only . The bounding polygon normalized vertices.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + public int getNormalizedVerticesCount() { + if (normalizedVerticesBuilder_ == null) { + return normalizedVertices_.size(); + } else { + return normalizedVerticesBuilder_.getCount(); + } + } + /** + * + * + * 
+     * Output only . The bounding polygon normalized vertices.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + public com.google.cloud.automl.v1beta1.NormalizedVertex getNormalizedVertices(int index) { + if (normalizedVerticesBuilder_ == null) { + return normalizedVertices_.get(index); + } else { + return normalizedVerticesBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * Output only . The bounding polygon normalized vertices.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + public Builder setNormalizedVertices( + int index, com.google.cloud.automl.v1beta1.NormalizedVertex value) { + if (normalizedVerticesBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureNormalizedVerticesIsMutable(); + normalizedVertices_.set(index, value); + onChanged(); + } else { + normalizedVerticesBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Output only . The bounding polygon normalized vertices.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + public Builder setNormalizedVertices( + int index, com.google.cloud.automl.v1beta1.NormalizedVertex.Builder builderForValue) { + if (normalizedVerticesBuilder_ == null) { + ensureNormalizedVerticesIsMutable(); + normalizedVertices_.set(index, builderForValue.build()); + onChanged(); + } else { + normalizedVerticesBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only . The bounding polygon normalized vertices.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + public Builder addNormalizedVertices(com.google.cloud.automl.v1beta1.NormalizedVertex value) { + if (normalizedVerticesBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureNormalizedVerticesIsMutable(); + normalizedVertices_.add(value); + onChanged(); + } else { + normalizedVerticesBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * Output only . The bounding polygon normalized vertices.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + public Builder addNormalizedVertices( + int index, com.google.cloud.automl.v1beta1.NormalizedVertex value) { + if (normalizedVerticesBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureNormalizedVerticesIsMutable(); + normalizedVertices_.add(index, value); + onChanged(); + } else { + normalizedVerticesBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Output only . The bounding polygon normalized vertices.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + public Builder addNormalizedVertices( + com.google.cloud.automl.v1beta1.NormalizedVertex.Builder builderForValue) { + if (normalizedVerticesBuilder_ == null) { + ensureNormalizedVerticesIsMutable(); + normalizedVertices_.add(builderForValue.build()); + onChanged(); + } else { + normalizedVerticesBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only . The bounding polygon normalized vertices.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + public Builder addNormalizedVertices( + int index, com.google.cloud.automl.v1beta1.NormalizedVertex.Builder builderForValue) { + if (normalizedVerticesBuilder_ == null) { + ensureNormalizedVerticesIsMutable(); + normalizedVertices_.add(index, builderForValue.build()); + onChanged(); + } else { + normalizedVerticesBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only . The bounding polygon normalized vertices.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + public Builder addAllNormalizedVertices( + java.lang.Iterable values) { + if (normalizedVerticesBuilder_ == null) { + ensureNormalizedVerticesIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, normalizedVertices_); + onChanged(); + } else { + normalizedVerticesBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * Output only . The bounding polygon normalized vertices.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + public Builder clearNormalizedVertices() { + if (normalizedVerticesBuilder_ == null) { + normalizedVertices_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + } else { + normalizedVerticesBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Output only . The bounding polygon normalized vertices.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + public Builder removeNormalizedVertices(int index) { + if (normalizedVerticesBuilder_ == null) { + ensureNormalizedVerticesIsMutable(); + normalizedVertices_.remove(index); + onChanged(); + } else { + normalizedVerticesBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * Output only . The bounding polygon normalized vertices.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + public com.google.cloud.automl.v1beta1.NormalizedVertex.Builder getNormalizedVerticesBuilder( + int index) { + return getNormalizedVerticesFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * Output only . The bounding polygon normalized vertices.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + public com.google.cloud.automl.v1beta1.NormalizedVertexOrBuilder getNormalizedVerticesOrBuilder( + int index) { + if (normalizedVerticesBuilder_ == null) { + return normalizedVertices_.get(index); + } else { + return normalizedVerticesBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * Output only . The bounding polygon normalized vertices.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + public java.util.List + getNormalizedVerticesOrBuilderList() { + if (normalizedVerticesBuilder_ != null) { + return normalizedVerticesBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(normalizedVertices_); + } + } + /** + * + * + * 
+     * Output only . The bounding polygon normalized vertices.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + public com.google.cloud.automl.v1beta1.NormalizedVertex.Builder addNormalizedVerticesBuilder() { + return getNormalizedVerticesFieldBuilder() + .addBuilder(com.google.cloud.automl.v1beta1.NormalizedVertex.getDefaultInstance()); + } + /** + * + * + * 
+     * Output only . The bounding polygon normalized vertices.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + public com.google.cloud.automl.v1beta1.NormalizedVertex.Builder addNormalizedVerticesBuilder( + int index) { + return getNormalizedVerticesFieldBuilder() + .addBuilder(index, com.google.cloud.automl.v1beta1.NormalizedVertex.getDefaultInstance()); + } + /** + * + * + * 
+     * Output only . The bounding polygon normalized vertices.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + public java.util.List + getNormalizedVerticesBuilderList() { + return getNormalizedVerticesFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.NormalizedVertex, + com.google.cloud.automl.v1beta1.NormalizedVertex.Builder, + com.google.cloud.automl.v1beta1.NormalizedVertexOrBuilder> + getNormalizedVerticesFieldBuilder() { + if (normalizedVerticesBuilder_ == null) { + normalizedVerticesBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.NormalizedVertex, + com.google.cloud.automl.v1beta1.NormalizedVertex.Builder, + com.google.cloud.automl.v1beta1.NormalizedVertexOrBuilder>( + normalizedVertices_, + ((bitField0_ & 0x00000001) != 0), + getParentForChildren(), + isClean()); + normalizedVertices_ = null; + } + return normalizedVerticesBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.BoundingPoly) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.BoundingPoly) + private static final com.google.cloud.automl.v1beta1.BoundingPoly DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.BoundingPoly(); + } + + public static com.google.cloud.automl.v1beta1.BoundingPoly getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public BoundingPoly parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new BoundingPoly(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.BoundingPoly getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingPolyOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingPolyOrBuilder.java new file mode 100644 index 000000000..d64022c29 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingPolyOrBuilder.java @@ -0,0 +1,78 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/geometry.proto + +package com.google.cloud.automl.v1beta1; + +public interface BoundingPolyOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.BoundingPoly) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Output only . The bounding polygon normalized vertices.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + java.util.List getNormalizedVerticesList(); + /** + * + * + * 
+   * Output only . The bounding polygon normalized vertices.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + com.google.cloud.automl.v1beta1.NormalizedVertex getNormalizedVertices(int index); + /** + * + * + * 
+   * Output only . The bounding polygon normalized vertices.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + int getNormalizedVerticesCount(); + /** + * + * + * 
+   * Output only . The bounding polygon normalized vertices.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + java.util.List + getNormalizedVerticesOrBuilderList(); + /** + * + * + * 
+   * Output only . The bounding polygon normalized vertices.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2; + */ + com.google.cloud.automl.v1beta1.NormalizedVertexOrBuilder getNormalizedVerticesOrBuilder( + int index); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CategoryStats.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CategoryStats.java new file mode 100644 index 000000000..217673c5e --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CategoryStats.java @@ -0,0 +1,1808 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_stats.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * The data statistics of a series of CATEGORY values.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.CategoryStats} + */ +public final class CategoryStats extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.CategoryStats) + CategoryStatsOrBuilder { + private static final long serialVersionUID = 0L; + // Use CategoryStats.newBuilder() to construct. + private CategoryStats(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private CategoryStats() { + topCategoryStats_ = java.util.Collections.emptyList(); + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new CategoryStats(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private CategoryStats( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + topCategoryStats_ = + new java.util.ArrayList< + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats>(); + mutable_bitField0_ |= 0x00000001; + } + topCategoryStats_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.parser(), + extensionRegistry)); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + topCategoryStats_ = java.util.Collections.unmodifiableList(topCategoryStats_); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_CategoryStats_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_CategoryStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.CategoryStats.class, + com.google.cloud.automl.v1beta1.CategoryStats.Builder.class); + } + + public interface SingleCategoryStatsOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+     * The CATEGORY value.
+     *
+ * + * string value = 1; + * + * @return The value. + */ + java.lang.String getValue(); + /** + * + * + * 
+     * The CATEGORY value.
+     *
+ * + * string value = 1; + * + * @return The bytes for value. + */ + com.google.protobuf.ByteString getValueBytes(); + + /** + * + * + * 
+     * The number of occurrences of this value in the series.
+     *
+ * + * int64 count = 2; + * + * @return The count. + */ + long getCount(); + } + /** + * + * + * 
+   * The statistics of a single CATEGORY value.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats} + */ + public static final class SingleCategoryStats extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats) + SingleCategoryStatsOrBuilder { + private static final long serialVersionUID = 0L; + // Use SingleCategoryStats.newBuilder() to construct. + private SingleCategoryStats(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private SingleCategoryStats() { + value_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new SingleCategoryStats(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private SingleCategoryStats( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + value_ = s; + break; + } + case 16: + { + count_ = input.readInt64(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_CategoryStats_SingleCategoryStats_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_CategoryStats_SingleCategoryStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.class, + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.Builder.class); + } + + public static final int VALUE_FIELD_NUMBER = 1; + private volatile java.lang.Object value_; + /** + * + * + * 
+     * The CATEGORY value.
+     *
+ * + * string value = 1; + * + * @return The value. + */ + public java.lang.String getValue() { + java.lang.Object ref = value_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + value_ = s; + return s; + } + } + /** + * + * + * 
+     * The CATEGORY value.
+     *
+ * + * string value = 1; + * + * @return The bytes for value. + */ + public com.google.protobuf.ByteString getValueBytes() { + java.lang.Object ref = value_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + value_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int COUNT_FIELD_NUMBER = 2; + private long count_; + /** + * + * + * 
+     * The number of occurrences of this value in the series.
+     *
+ * + * int64 count = 2; + * + * @return The count. + */ + public long getCount() { + return count_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getValueBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, value_); + } + if (count_ != 0L) { + output.writeInt64(2, count_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getValueBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, value_); + } + if (count_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(2, count_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats other = + (com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats) obj; + + if (!getValue().equals(other.getValue())) return false; + if (getCount() != other.getCount()) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + VALUE_FIELD_NUMBER; + hash = (53 * hash) + getValue().hashCode(); + hash = (37 * hash) + COUNT_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getCount()); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats parseFrom( + byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType( + com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+     * The statistics of a single CATEGORY value.
+     *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats} + */ + public static final class Builder + extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats) + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStatsOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_CategoryStats_SingleCategoryStats_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_CategoryStats_SingleCategoryStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.class, + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.Builder.class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + value_ = ""; + + count_ = 0L; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_CategoryStats_SingleCategoryStats_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats + .getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats build() { + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats buildPartial() { + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats result = + new com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats(this); + result.value_ = value_; + result.count_ = count_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, + int index, + java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats other) { + if (other + == com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats + .getDefaultInstance()) return this; + if (!other.getValue().isEmpty()) { + value_ = other.value_; + onChanged(); + } + if (other.getCount() != 0L) { + setCount(other.getCount()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object value_ = ""; + /** + * + * + * 
+       * The CATEGORY value.
+       *
+ * + * string value = 1; + * + * @return The value. + */ + public java.lang.String getValue() { + java.lang.Object ref = value_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + value_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+       * The CATEGORY value.
+       *
+ * + * string value = 1; + * + * @return The bytes for value. + */ + public com.google.protobuf.ByteString getValueBytes() { + java.lang.Object ref = value_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + value_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+       * The CATEGORY value.
+       *
+ * + * string value = 1; + * + * @param value The value to set. + * @return This builder for chaining. + */ + public Builder setValue(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + value_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * The CATEGORY value.
+       *
+ * + * string value = 1; + * + * @return This builder for chaining. + */ + public Builder clearValue() { + + value_ = getDefaultInstance().getValue(); + onChanged(); + return this; + } + /** + * + * + * 
+       * The CATEGORY value.
+       *
+ * + * string value = 1; + * + * @param value The bytes for value to set. + * @return This builder for chaining. + */ + public Builder setValueBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + value_ = value; + onChanged(); + return this; + } + + private long count_; + /** + * + * + * 
+       * The number of occurrences of this value in the series.
+       *
+ * + * int64 count = 2; + * + * @return The count. + */ + public long getCount() { + return count_; + } + /** + * + * + * 
+       * The number of occurrences of this value in the series.
+       *
+ * + * int64 count = 2; + * + * @param value The count to set. + * @return This builder for chaining. + */ + public Builder setCount(long value) { + + count_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * The number of occurrences of this value in the series.
+       *
+ * + * int64 count = 2; + * + * @return This builder for chaining. + */ + public Builder clearCount() { + + count_ = 0L; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats) + private static final com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats(); + } + + public static com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public SingleCategoryStats parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new SingleCategoryStats(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } + } + + public static final int TOP_CATEGORY_STATS_FIELD_NUMBER = 1; + private java.util.List + topCategoryStats_; + /** + * + * + * 
+   * The statistics of the top 20 CATEGORY values, ordered by
+   * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + public java.util.List + getTopCategoryStatsList() { + return topCategoryStats_; + } + /** + * + * + * 
+   * The statistics of the top 20 CATEGORY values, ordered by
+   * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + public java.util.List< + ? extends com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStatsOrBuilder> + getTopCategoryStatsOrBuilderList() { + return topCategoryStats_; + } + /** + * + * + * 
+   * The statistics of the top 20 CATEGORY values, ordered by
+   * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + public int getTopCategoryStatsCount() { + return topCategoryStats_.size(); + } + /** + * + * + * 
+   * The statistics of the top 20 CATEGORY values, ordered by
+   * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats getTopCategoryStats( + int index) { + return topCategoryStats_.get(index); + } + /** + * + * + * 
+   * The statistics of the top 20 CATEGORY values, ordered by
+   * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStatsOrBuilder + getTopCategoryStatsOrBuilder(int index) { + return topCategoryStats_.get(index); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + for (int i = 0; i < topCategoryStats_.size(); i++) { + output.writeMessage(1, topCategoryStats_.get(i)); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + for (int i = 0; i < topCategoryStats_.size(); i++) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, topCategoryStats_.get(i)); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.CategoryStats)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.CategoryStats other = + (com.google.cloud.automl.v1beta1.CategoryStats) obj; + + if (!getTopCategoryStatsList().equals(other.getTopCategoryStatsList())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (getTopCategoryStatsCount() > 0) { + hash = (37 * hash) + TOP_CATEGORY_STATS_FIELD_NUMBER; + hash = (53 * hash) + getTopCategoryStatsList().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.CategoryStats parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.CategoryStats parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CategoryStats parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.CategoryStats parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CategoryStats parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.CategoryStats parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CategoryStats parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.CategoryStats parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CategoryStats parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.CategoryStats parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CategoryStats parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.CategoryStats parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.CategoryStats prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * The data statistics of a series of CATEGORY values.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.CategoryStats} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.CategoryStats) + com.google.cloud.automl.v1beta1.CategoryStatsOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_CategoryStats_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_CategoryStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.CategoryStats.class, + com.google.cloud.automl.v1beta1.CategoryStats.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.CategoryStats.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getTopCategoryStatsFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (topCategoryStatsBuilder_ == null) { + topCategoryStats_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + } else { + topCategoryStatsBuilder_.clear(); + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_CategoryStats_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.CategoryStats getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.CategoryStats.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.CategoryStats build() { + com.google.cloud.automl.v1beta1.CategoryStats result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.CategoryStats buildPartial() { + com.google.cloud.automl.v1beta1.CategoryStats result = + new com.google.cloud.automl.v1beta1.CategoryStats(this); + int from_bitField0_ = bitField0_; + if (topCategoryStatsBuilder_ == null) { + if (((bitField0_ & 0x00000001) != 0)) { + topCategoryStats_ = java.util.Collections.unmodifiableList(topCategoryStats_); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.topCategoryStats_ = topCategoryStats_; + } else { + result.topCategoryStats_ = topCategoryStatsBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.CategoryStats) { + return mergeFrom((com.google.cloud.automl.v1beta1.CategoryStats) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.CategoryStats other) { + if (other == com.google.cloud.automl.v1beta1.CategoryStats.getDefaultInstance()) return this; + if (topCategoryStatsBuilder_ == null) { + if (!other.topCategoryStats_.isEmpty()) { + if (topCategoryStats_.isEmpty()) { + topCategoryStats_ = other.topCategoryStats_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensureTopCategoryStatsIsMutable(); + topCategoryStats_.addAll(other.topCategoryStats_); + } + onChanged(); + } + } else { + if (!other.topCategoryStats_.isEmpty()) { + if (topCategoryStatsBuilder_.isEmpty()) { + topCategoryStatsBuilder_.dispose(); + topCategoryStatsBuilder_ = null; + topCategoryStats_ = other.topCategoryStats_; + bitField0_ = (bitField0_ & ~0x00000001); + topCategoryStatsBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getTopCategoryStatsFieldBuilder() + : null; + } else { + topCategoryStatsBuilder_.addAllMessages(other.topCategoryStats_); + } + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.CategoryStats parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.CategoryStats) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private java.util.List + topCategoryStats_ = java.util.Collections.emptyList(); + + private void ensureTopCategoryStatsIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + topCategoryStats_ = + new java.util.ArrayList< + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats>( + topCategoryStats_); + bitField0_ |= 0x00000001; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats, + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.Builder, + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStatsOrBuilder> + topCategoryStatsBuilder_; + + /** + * + * + * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + public java.util.List + getTopCategoryStatsList() { + if (topCategoryStatsBuilder_ == null) { + return java.util.Collections.unmodifiableList(topCategoryStats_); + } else { + return topCategoryStatsBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + public int getTopCategoryStatsCount() { + if (topCategoryStatsBuilder_ == null) { + return topCategoryStats_.size(); + } else { + return topCategoryStatsBuilder_.getCount(); + } + } + /** + * + * + * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats getTopCategoryStats( + int index) { + if (topCategoryStatsBuilder_ == null) { + return topCategoryStats_.get(index); + } else { + return topCategoryStatsBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + public Builder setTopCategoryStats( + int index, com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats value) { + if (topCategoryStatsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureTopCategoryStatsIsMutable(); + topCategoryStats_.set(index, value); + onChanged(); + } else { + topCategoryStatsBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + public Builder setTopCategoryStats( + int index, + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.Builder builderForValue) { + if (topCategoryStatsBuilder_ == null) { + ensureTopCategoryStatsIsMutable(); + topCategoryStats_.set(index, builderForValue.build()); + onChanged(); + } else { + topCategoryStatsBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + public Builder addTopCategoryStats( + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats value) { + if (topCategoryStatsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureTopCategoryStatsIsMutable(); + topCategoryStats_.add(value); + onChanged(); + } else { + topCategoryStatsBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + public Builder addTopCategoryStats( + int index, com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats value) { + if (topCategoryStatsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureTopCategoryStatsIsMutable(); + topCategoryStats_.add(index, value); + onChanged(); + } else { + topCategoryStatsBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + public Builder addTopCategoryStats( + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.Builder builderForValue) { + if (topCategoryStatsBuilder_ == null) { + ensureTopCategoryStatsIsMutable(); + topCategoryStats_.add(builderForValue.build()); + onChanged(); + } else { + topCategoryStatsBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + public Builder addTopCategoryStats( + int index, + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.Builder builderForValue) { + if (topCategoryStatsBuilder_ == null) { + ensureTopCategoryStatsIsMutable(); + topCategoryStats_.add(index, builderForValue.build()); + onChanged(); + } else { + topCategoryStatsBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + public Builder addAllTopCategoryStats( + java.lang.Iterable< + ? extends com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats> + values) { + if (topCategoryStatsBuilder_ == null) { + ensureTopCategoryStatsIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, topCategoryStats_); + onChanged(); + } else { + topCategoryStatsBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + public Builder clearTopCategoryStats() { + if (topCategoryStatsBuilder_ == null) { + topCategoryStats_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + } else { + topCategoryStatsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + public Builder removeTopCategoryStats(int index) { + if (topCategoryStatsBuilder_ == null) { + ensureTopCategoryStatsIsMutable(); + topCategoryStats_.remove(index); + onChanged(); + } else { + topCategoryStatsBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.Builder + getTopCategoryStatsBuilder(int index) { + return getTopCategoryStatsFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStatsOrBuilder + getTopCategoryStatsOrBuilder(int index) { + if (topCategoryStatsBuilder_ == null) { + return topCategoryStats_.get(index); + } else { + return topCategoryStatsBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + public java.util.List< + ? extends com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStatsOrBuilder> + getTopCategoryStatsOrBuilderList() { + if (topCategoryStatsBuilder_ != null) { + return topCategoryStatsBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(topCategoryStats_); + } + } + /** + * + * + * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.Builder + addTopCategoryStatsBuilder() { + return getTopCategoryStatsFieldBuilder() + .addBuilder( + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats + .getDefaultInstance()); + } + /** + * + * + * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.Builder + addTopCategoryStatsBuilder(int index) { + return getTopCategoryStatsFieldBuilder() + .addBuilder( + index, + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats + .getDefaultInstance()); + } + /** + * + * + * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + public java.util.List + getTopCategoryStatsBuilderList() { + return getTopCategoryStatsFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats, + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.Builder, + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStatsOrBuilder> + getTopCategoryStatsFieldBuilder() { + if (topCategoryStatsBuilder_ == null) { + topCategoryStatsBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats, + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.Builder, + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStatsOrBuilder>( + topCategoryStats_, + ((bitField0_ & 0x00000001) != 0), + getParentForChildren(), + isClean()); + topCategoryStats_ = null; + } + return topCategoryStatsBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.CategoryStats) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.CategoryStats) + private static final com.google.cloud.automl.v1beta1.CategoryStats DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.CategoryStats(); + } + + public static com.google.cloud.automl.v1beta1.CategoryStats getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public CategoryStats parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new CategoryStats(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.CategoryStats getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CategoryStatsOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CategoryStatsOrBuilder.java new file mode 100644 index 000000000..debb61e75 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CategoryStatsOrBuilder.java @@ -0,0 +1,95 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_stats.proto + +package com.google.cloud.automl.v1beta1; + +public interface CategoryStatsOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.CategoryStats) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * The statistics of the top 20 CATEGORY values, ordered by
+   * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + java.util.List + getTopCategoryStatsList(); + /** + * + * + * 
+   * The statistics of the top 20 CATEGORY values, ordered by
+   * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats getTopCategoryStats(int index); + /** + * + * + * 
+   * The statistics of the top 20 CATEGORY values, ordered by
+   * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + int getTopCategoryStatsCount(); + /** + * + * + * 
+   * The statistics of the top 20 CATEGORY values, ordered by
+   * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + java.util.List< + ? extends com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStatsOrBuilder> + getTopCategoryStatsOrBuilderList(); + /** + * + * + * 
+   * The statistics of the top 20 CATEGORY values, ordered by
+   * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1; + * + */ + com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStatsOrBuilder + getTopCategoryStatsOrBuilder(int index); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ClassificationProto.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ClassificationProto.java new file mode 100644 index 000000000..3ab78f262 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ClassificationProto.java @@ -0,0 +1,10000 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/classification.proto + +package com.google.cloud.automl.v1beta1; + +public final class ClassificationProto { + private ClassificationProto() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + /** + * + * + * 
+   * Type of the classification problem.
+   *
+ * + * Protobuf enum {@code google.cloud.automl.v1beta1.ClassificationType} + */ + public enum ClassificationType implements com.google.protobuf.ProtocolMessageEnum { + /** + * + * + * 
+     * An un-set value of this enum.
+     *
+ * + * CLASSIFICATION_TYPE_UNSPECIFIED = 0; + */ + CLASSIFICATION_TYPE_UNSPECIFIED(0), + /** + * + * + * 
+     * At most one label is allowed per example.
+     *
+ * + * MULTICLASS = 1; + */ + MULTICLASS(1), + /** + * + * + * 
+     * Multiple labels are allowed for one example.
+     *
+ * + * MULTILABEL = 2; + */ + MULTILABEL(2), + UNRECOGNIZED(-1), + ; + + /** + * + * + * 
+     * An un-set value of this enum.
+     *
+ * + * CLASSIFICATION_TYPE_UNSPECIFIED = 0; + */ + public static final int CLASSIFICATION_TYPE_UNSPECIFIED_VALUE = 0; + /** + * + * + * 
+     * At most one label is allowed per example.
+     *
+ * + * MULTICLASS = 1; + */ + public static final int MULTICLASS_VALUE = 1; + /** + * + * + * 
+     * Multiple labels are allowed for one example.
+     *
+ * + * MULTILABEL = 2; + */ + public static final int MULTILABEL_VALUE = 2; + + public final int getNumber() { + if (this == UNRECOGNIZED) { + throw new java.lang.IllegalArgumentException( + "Can't get the number of an unknown enum value."); + } + return value; + } + + /** + * @param value The numeric wire value of the corresponding enum entry. + * @return The enum associated with the given numeric wire value. + * @deprecated Use {@link #forNumber(int)} instead. + */ + @java.lang.Deprecated + public static ClassificationType valueOf(int value) { + return forNumber(value); + } + + /** + * @param value The numeric wire value of the corresponding enum entry. + * @return The enum associated with the given numeric wire value. + */ + public static ClassificationType forNumber(int value) { + switch (value) { + case 0: + return CLASSIFICATION_TYPE_UNSPECIFIED; + case 1: + return MULTICLASS; + case 2: + return MULTILABEL; + default: + return null; + } + } + + public static com.google.protobuf.Internal.EnumLiteMap + internalGetValueMap() { + return internalValueMap; + } + + private static final com.google.protobuf.Internal.EnumLiteMap + internalValueMap = + new com.google.protobuf.Internal.EnumLiteMap() { + public ClassificationType findValueByNumber(int number) { + return ClassificationType.forNumber(number); + } + }; + + public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() { + return getDescriptor().getValues().get(ordinal()); + } + + public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() { + return getDescriptor(); + } + + public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ClassificationProto.getDescriptor() + .getEnumTypes() + .get(0); + } + + private static final ClassificationType[] VALUES = values(); + + public static ClassificationType valueOf( + com.google.protobuf.Descriptors.EnumValueDescriptor desc) { + if (desc.getType() != getDescriptor()) { + throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type."); + } + if (desc.getIndex() == -1) { + return UNRECOGNIZED; + } + return VALUES[desc.getIndex()]; + } + + private final int value; + + private ClassificationType(int value) { + this.value = value; + } + + // @@protoc_insertion_point(enum_scope:google.cloud.automl.v1beta1.ClassificationType) + } + + public interface ClassificationAnnotationOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ClassificationAnnotation) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+     * Output only. A confidence estimate between 0.0 and 1.0. A higher value
+     * means greater confidence that the annotation is positive. If a user
+     * approves an annotation as negative or positive, the score value remains
+     * unchanged. If a user creates an annotation, the score is 0 for negative or
+     * 1 for positive.
+     *
+ * + * float score = 1; + * + * @return The score. + */ + float getScore(); + } + /** + * + * + * 
+   * Contains annotation details specific to classification.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ClassificationAnnotation} + */ + public static final class ClassificationAnnotation extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ClassificationAnnotation) + ClassificationAnnotationOrBuilder { + private static final long serialVersionUID = 0L; + // Use ClassificationAnnotation.newBuilder() to construct. + private ClassificationAnnotation(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ClassificationAnnotation() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ClassificationAnnotation(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ClassificationAnnotation( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 13: + { + score_ = input.readFloat(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_ClassificationAnnotation_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_ClassificationAnnotation_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation.class, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation.Builder + .class); + } + + public static final int SCORE_FIELD_NUMBER = 1; + private float score_; + /** + * + * + * 
+     * Output only. A confidence estimate between 0.0 and 1.0. A higher value
+     * means greater confidence that the annotation is positive. If a user
+     * approves an annotation as negative or positive, the score value remains
+     * unchanged. If a user creates an annotation, the score is 0 for negative or
+     * 1 for positive.
+     *
+ * + * float score = 1; + * + * @return The score. + */ + public float getScore() { + return score_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (score_ != 0F) { + output.writeFloat(1, score_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (score_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, score_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj + instanceof + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation other = + (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation) obj; + + if (java.lang.Float.floatToIntBits(getScore()) + != java.lang.Float.floatToIntBits(other.getScore())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + SCORE_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getScore()); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + parseFrom(com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + parseFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType( + com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+     * Contains annotation details specific to classification.
+     *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ClassificationAnnotation} + */ + public static final class Builder + extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ClassificationAnnotation) + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotationOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_ClassificationAnnotation_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_ClassificationAnnotation_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation.class, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation.Builder + .class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + score_ = 0F; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_ClassificationAnnotation_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + .getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation build() { + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation result = + buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + buildPartial() { + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation result = + new com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation(this); + result.score_ = score_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, + int index, + java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other + instanceof + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation other) { + if (other + == com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + .getDefaultInstance()) return this; + if (other.getScore() != 0F) { + setScore(other.getScore()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation parsedMessage = + null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private float score_; + /** + * + * + * 
+       * Output only. A confidence estimate between 0.0 and 1.0. A higher value
+       * means greater confidence that the annotation is positive. If a user
+       * approves an annotation as negative or positive, the score value remains
+       * unchanged. If a user creates an annotation, the score is 0 for negative or
+       * 1 for positive.
+       *
+ * + * float score = 1; + * + * @return The score. + */ + public float getScore() { + return score_; + } + /** + * + * + * 
+       * Output only. A confidence estimate between 0.0 and 1.0. A higher value
+       * means greater confidence that the annotation is positive. If a user
+       * approves an annotation as negative or positive, the score value remains
+       * unchanged. If a user creates an annotation, the score is 0 for negative or
+       * 1 for positive.
+       *
+ * + * float score = 1; + * + * @param value The score to set. + * @return This builder for chaining. + */ + public Builder setScore(float value) { + + score_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. A confidence estimate between 0.0 and 1.0. A higher value
+       * means greater confidence that the annotation is positive. If a user
+       * approves an annotation as negative or positive, the score value remains
+       * unchanged. If a user creates an annotation, the score is 0 for negative or
+       * 1 for positive.
+       *
+ * + * float score = 1; + * + * @return This builder for chaining. + */ + public Builder clearScore() { + + score_ = 0F; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ClassificationAnnotation) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ClassificationAnnotation) + private static final com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationAnnotation + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = + new com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation(); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ClassificationAnnotation parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ClassificationAnnotation(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } + } + + public interface VideoClassificationAnnotationOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.VideoClassificationAnnotation) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+     * Output only. Expresses the type of video classification. Possible values:
+     * *  `segment` - Classification done on a specified by user
+     *        time segment of a video. AnnotationSpec is answered to be present
+     *        in that time segment, if it is present in any part of it. The video
+     *        ML model evaluations are done only for this type of classification.
+     * *  `shot`- Shot-level classification.
+     *        AutoML Video Intelligence determines the boundaries
+     *        for each camera shot in the entire segment of the video that user
+     *        specified in the request configuration. AutoML Video Intelligence
+     *        then returns labels and their confidence scores for each detected
+     *        shot, along with the start and end time of the shot.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality.
+     * *  `1s_interval` - AutoML Video Intelligence returns labels and their
+     *        confidence scores for each second of the entire segment of the video
+     *        that user specified in the request configuration.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality.
+     *
+ * + * string type = 1; + * + * @return The type. + */ + java.lang.String getType(); + /** + * + * + * 
+     * Output only. Expresses the type of video classification. Possible values:
+     * *  `segment` - Classification done on a specified by user
+     *        time segment of a video. AnnotationSpec is answered to be present
+     *        in that time segment, if it is present in any part of it. The video
+     *        ML model evaluations are done only for this type of classification.
+     * *  `shot`- Shot-level classification.
+     *        AutoML Video Intelligence determines the boundaries
+     *        for each camera shot in the entire segment of the video that user
+     *        specified in the request configuration. AutoML Video Intelligence
+     *        then returns labels and their confidence scores for each detected
+     *        shot, along with the start and end time of the shot.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality.
+     * *  `1s_interval` - AutoML Video Intelligence returns labels and their
+     *        confidence scores for each second of the entire segment of the video
+     *        that user specified in the request configuration.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality.
+     *
+ * + * string type = 1; + * + * @return The bytes for type. + */ + com.google.protobuf.ByteString getTypeBytes(); + + /** + * + * + * 
+     * Output only . The classification details of this annotation.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2; + * + * + * @return Whether the classificationAnnotation field is set. + */ + boolean hasClassificationAnnotation(); + /** + * + * + * 
+     * Output only . The classification details of this annotation.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2; + * + * + * @return The classificationAnnotation. + */ + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + getClassificationAnnotation(); + /** + * + * + * 
+     * Output only . The classification details of this annotation.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2; + * + */ + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotationOrBuilder + getClassificationAnnotationOrBuilder(); + + /** + * + * + * 
+     * Output only . The time segment of the video to which the
+     * annotation applies.
+     *
+ * + * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3; + * + * @return Whether the timeSegment field is set. + */ + boolean hasTimeSegment(); + /** + * + * + * 
+     * Output only . The time segment of the video to which the
+     * annotation applies.
+     *
+ * + * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3; + * + * @return The timeSegment. + */ + com.google.cloud.automl.v1beta1.TimeSegment getTimeSegment(); + /** + * + * + * 
+     * Output only . The time segment of the video to which the
+     * annotation applies.
+     *
+ * + * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3; + */ + com.google.cloud.automl.v1beta1.TimeSegmentOrBuilder getTimeSegmentOrBuilder(); + } + /** + * + * + * 
+   * Contains annotation details specific to video classification.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.VideoClassificationAnnotation} + */ + public static final class VideoClassificationAnnotation + extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.VideoClassificationAnnotation) + VideoClassificationAnnotationOrBuilder { + private static final long serialVersionUID = 0L; + // Use VideoClassificationAnnotation.newBuilder() to construct. + private VideoClassificationAnnotation( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private VideoClassificationAnnotation() { + type_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new VideoClassificationAnnotation(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private VideoClassificationAnnotation( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + type_ = s; + break; + } + case 18: + { + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation.Builder + subBuilder = null; + if (classificationAnnotation_ != null) { + subBuilder = classificationAnnotation_.toBuilder(); + } + classificationAnnotation_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + .parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(classificationAnnotation_); + classificationAnnotation_ = subBuilder.buildPartial(); + } + + break; + } + case 26: + { + com.google.cloud.automl.v1beta1.TimeSegment.Builder subBuilder = null; + if (timeSegment_ != null) { + subBuilder = timeSegment_.toBuilder(); + } + timeSegment_ = + input.readMessage( + com.google.cloud.automl.v1beta1.TimeSegment.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(timeSegment_); + timeSegment_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_VideoClassificationAnnotation_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_VideoClassificationAnnotation_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + .class, + com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + .Builder.class); + } + + public static final int TYPE_FIELD_NUMBER = 1; + private volatile java.lang.Object type_; + /** + * + * + * 
+     * Output only. Expresses the type of video classification. Possible values:
+     * *  `segment` - Classification done on a specified by user
+     *        time segment of a video. AnnotationSpec is answered to be present
+     *        in that time segment, if it is present in any part of it. The video
+     *        ML model evaluations are done only for this type of classification.
+     * *  `shot`- Shot-level classification.
+     *        AutoML Video Intelligence determines the boundaries
+     *        for each camera shot in the entire segment of the video that user
+     *        specified in the request configuration. AutoML Video Intelligence
+     *        then returns labels and their confidence scores for each detected
+     *        shot, along with the start and end time of the shot.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality.
+     * *  `1s_interval` - AutoML Video Intelligence returns labels and their
+     *        confidence scores for each second of the entire segment of the video
+     *        that user specified in the request configuration.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality.
+     *
+ * + * string type = 1; + * + * @return The type. + */ + public java.lang.String getType() { + java.lang.Object ref = type_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + type_ = s; + return s; + } + } + /** + * + * + * 
+     * Output only. Expresses the type of video classification. Possible values:
+     * *  `segment` - Classification done on a specified by user
+     *        time segment of a video. AnnotationSpec is answered to be present
+     *        in that time segment, if it is present in any part of it. The video
+     *        ML model evaluations are done only for this type of classification.
+     * *  `shot`- Shot-level classification.
+     *        AutoML Video Intelligence determines the boundaries
+     *        for each camera shot in the entire segment of the video that user
+     *        specified in the request configuration. AutoML Video Intelligence
+     *        then returns labels and their confidence scores for each detected
+     *        shot, along with the start and end time of the shot.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality.
+     * *  `1s_interval` - AutoML Video Intelligence returns labels and their
+     *        confidence scores for each second of the entire segment of the video
+     *        that user specified in the request configuration.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality.
+     *
+ * + * string type = 1; + * + * @return The bytes for type. + */ + public com.google.protobuf.ByteString getTypeBytes() { + java.lang.Object ref = type_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + type_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int CLASSIFICATION_ANNOTATION_FIELD_NUMBER = 2; + private com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + classificationAnnotation_; + /** + * + * + * 
+     * Output only . The classification details of this annotation.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2; + * + * + * @return Whether the classificationAnnotation field is set. + */ + public boolean hasClassificationAnnotation() { + return classificationAnnotation_ != null; + } + /** + * + * + * 
+     * Output only . The classification details of this annotation.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2; + * + * + * @return The classificationAnnotation. + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + getClassificationAnnotation() { + return classificationAnnotation_ == null + ? com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + .getDefaultInstance() + : classificationAnnotation_; + } + /** + * + * + * 
+     * Output only . The classification details of this annotation.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotationOrBuilder + getClassificationAnnotationOrBuilder() { + return getClassificationAnnotation(); + } + + public static final int TIME_SEGMENT_FIELD_NUMBER = 3; + private com.google.cloud.automl.v1beta1.TimeSegment timeSegment_; + /** + * + * + * 
+     * Output only . The time segment of the video to which the
+     * annotation applies.
+     *
+ * + * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3; + * + * @return Whether the timeSegment field is set. + */ + public boolean hasTimeSegment() { + return timeSegment_ != null; + } + /** + * + * + * 
+     * Output only . The time segment of the video to which the
+     * annotation applies.
+     *
+ * + * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3; + * + * @return The timeSegment. + */ + public com.google.cloud.automl.v1beta1.TimeSegment getTimeSegment() { + return timeSegment_ == null + ? com.google.cloud.automl.v1beta1.TimeSegment.getDefaultInstance() + : timeSegment_; + } + /** + * + * + * 
+     * Output only . The time segment of the video to which the
+     * annotation applies.
+     *
+ * + * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3; + */ + public com.google.cloud.automl.v1beta1.TimeSegmentOrBuilder getTimeSegmentOrBuilder() { + return getTimeSegment(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getTypeBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, type_); + } + if (classificationAnnotation_ != null) { + output.writeMessage(2, getClassificationAnnotation()); + } + if (timeSegment_ != null) { + output.writeMessage(3, getTimeSegment()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getTypeBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, type_); + } + if (classificationAnnotation_ != null) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 2, getClassificationAnnotation()); + } + if (timeSegment_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, getTimeSegment()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj + instanceof + com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation other = + (com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation) obj; + + if (!getType().equals(other.getType())) return false; + if (hasClassificationAnnotation() != other.hasClassificationAnnotation()) return false; + if (hasClassificationAnnotation()) { + if (!getClassificationAnnotation().equals(other.getClassificationAnnotation())) + return false; + } + if (hasTimeSegment() != other.hasTimeSegment()) return false; + if (hasTimeSegment()) { + if (!getTimeSegment().equals(other.getTimeSegment())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + TYPE_FIELD_NUMBER; + hash = (53 * hash) + getType().hashCode(); + if (hasClassificationAnnotation()) { + hash = (37 * hash) + CLASSIFICATION_ANNOTATION_FIELD_NUMBER; + hash = (53 * hash) + getClassificationAnnotation().hashCode(); + } + if (hasTimeSegment()) { + hash = (37 * hash) + TIME_SEGMENT_FIELD_NUMBER; + hash = (53 * hash) + getTimeSegment().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + parseFrom(com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + parseFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType( + com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+     * Contains annotation details specific to video classification.
+     *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.VideoClassificationAnnotation} + */ + public static final class Builder + extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.VideoClassificationAnnotation) + com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotationOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_VideoClassificationAnnotation_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_VideoClassificationAnnotation_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + .class, + com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + .Builder.class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + type_ = ""; + + if (classificationAnnotationBuilder_ == null) { + classificationAnnotation_ = null; + } else { + classificationAnnotation_ = null; + classificationAnnotationBuilder_ = null; + } + if (timeSegmentBuilder_ == null) { + timeSegment_ = null; + } else { + timeSegment_ = null; + timeSegmentBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_VideoClassificationAnnotation_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + .getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + build() { + com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation result = + buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + buildPartial() { + com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation result = + new com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation( + this); + result.type_ = type_; + if (classificationAnnotationBuilder_ == null) { + result.classificationAnnotation_ = classificationAnnotation_; + } else { + result.classificationAnnotation_ = classificationAnnotationBuilder_.build(); + } + if (timeSegmentBuilder_ == null) { + result.timeSegment_ = timeSegment_; + } else { + result.timeSegment_ = timeSegmentBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, + int index, + java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other + instanceof + com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation) + other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation other) { + if (other + == com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + .getDefaultInstance()) return this; + if (!other.getType().isEmpty()) { + type_ = other.type_; + onChanged(); + } + if (other.hasClassificationAnnotation()) { + mergeClassificationAnnotation(other.getClassificationAnnotation()); + } + if (other.hasTimeSegment()) { + mergeTimeSegment(other.getTimeSegment()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object type_ = ""; + /** + * + * + * 
+       * Output only. Expresses the type of video classification. Possible values:
+       * *  `segment` - Classification done on a specified by user
+       *        time segment of a video. AnnotationSpec is answered to be present
+       *        in that time segment, if it is present in any part of it. The video
+       *        ML model evaluations are done only for this type of classification.
+       * *  `shot`- Shot-level classification.
+       *        AutoML Video Intelligence determines the boundaries
+       *        for each camera shot in the entire segment of the video that user
+       *        specified in the request configuration. AutoML Video Intelligence
+       *        then returns labels and their confidence scores for each detected
+       *        shot, along with the start and end time of the shot.
+       *        WARNING: Model evaluation is not done for this classification type,
+       *        the quality of it depends on training data, but there are no
+       *        metrics provided to describe that quality.
+       * *  `1s_interval` - AutoML Video Intelligence returns labels and their
+       *        confidence scores for each second of the entire segment of the video
+       *        that user specified in the request configuration.
+       *        WARNING: Model evaluation is not done for this classification type,
+       *        the quality of it depends on training data, but there are no
+       *        metrics provided to describe that quality.
+       *
+ * + * string type = 1; + * + * @return The type. + */ + public java.lang.String getType() { + java.lang.Object ref = type_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + type_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+       * Output only. Expresses the type of video classification. Possible values:
+       * *  `segment` - Classification done on a specified by user
+       *        time segment of a video. AnnotationSpec is answered to be present
+       *        in that time segment, if it is present in any part of it. The video
+       *        ML model evaluations are done only for this type of classification.
+       * *  `shot`- Shot-level classification.
+       *        AutoML Video Intelligence determines the boundaries
+       *        for each camera shot in the entire segment of the video that user
+       *        specified in the request configuration. AutoML Video Intelligence
+       *        then returns labels and their confidence scores for each detected
+       *        shot, along with the start and end time of the shot.
+       *        WARNING: Model evaluation is not done for this classification type,
+       *        the quality of it depends on training data, but there are no
+       *        metrics provided to describe that quality.
+       * *  `1s_interval` - AutoML Video Intelligence returns labels and their
+       *        confidence scores for each second of the entire segment of the video
+       *        that user specified in the request configuration.
+       *        WARNING: Model evaluation is not done for this classification type,
+       *        the quality of it depends on training data, but there are no
+       *        metrics provided to describe that quality.
+       *
+ * + * string type = 1; + * + * @return The bytes for type. + */ + public com.google.protobuf.ByteString getTypeBytes() { + java.lang.Object ref = type_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + type_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+       * Output only. Expresses the type of video classification. Possible values:
+       * *  `segment` - Classification done on a specified by user
+       *        time segment of a video. AnnotationSpec is answered to be present
+       *        in that time segment, if it is present in any part of it. The video
+       *        ML model evaluations are done only for this type of classification.
+       * *  `shot`- Shot-level classification.
+       *        AutoML Video Intelligence determines the boundaries
+       *        for each camera shot in the entire segment of the video that user
+       *        specified in the request configuration. AutoML Video Intelligence
+       *        then returns labels and their confidence scores for each detected
+       *        shot, along with the start and end time of the shot.
+       *        WARNING: Model evaluation is not done for this classification type,
+       *        the quality of it depends on training data, but there are no
+       *        metrics provided to describe that quality.
+       * *  `1s_interval` - AutoML Video Intelligence returns labels and their
+       *        confidence scores for each second of the entire segment of the video
+       *        that user specified in the request configuration.
+       *        WARNING: Model evaluation is not done for this classification type,
+       *        the quality of it depends on training data, but there are no
+       *        metrics provided to describe that quality.
+       *
+ * + * string type = 1; + * + * @param value The type to set. + * @return This builder for chaining. + */ + public Builder setType(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + type_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. Expresses the type of video classification. Possible values:
+       * *  `segment` - Classification done on a specified by user
+       *        time segment of a video. AnnotationSpec is answered to be present
+       *        in that time segment, if it is present in any part of it. The video
+       *        ML model evaluations are done only for this type of classification.
+       * *  `shot`- Shot-level classification.
+       *        AutoML Video Intelligence determines the boundaries
+       *        for each camera shot in the entire segment of the video that user
+       *        specified in the request configuration. AutoML Video Intelligence
+       *        then returns labels and their confidence scores for each detected
+       *        shot, along with the start and end time of the shot.
+       *        WARNING: Model evaluation is not done for this classification type,
+       *        the quality of it depends on training data, but there are no
+       *        metrics provided to describe that quality.
+       * *  `1s_interval` - AutoML Video Intelligence returns labels and their
+       *        confidence scores for each second of the entire segment of the video
+       *        that user specified in the request configuration.
+       *        WARNING: Model evaluation is not done for this classification type,
+       *        the quality of it depends on training data, but there are no
+       *        metrics provided to describe that quality.
+       *
+ * + * string type = 1; + * + * @return This builder for chaining. + */ + public Builder clearType() { + + type_ = getDefaultInstance().getType(); + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. Expresses the type of video classification. Possible values:
+       * *  `segment` - Classification done on a specified by user
+       *        time segment of a video. AnnotationSpec is answered to be present
+       *        in that time segment, if it is present in any part of it. The video
+       *        ML model evaluations are done only for this type of classification.
+       * *  `shot`- Shot-level classification.
+       *        AutoML Video Intelligence determines the boundaries
+       *        for each camera shot in the entire segment of the video that user
+       *        specified in the request configuration. AutoML Video Intelligence
+       *        then returns labels and their confidence scores for each detected
+       *        shot, along with the start and end time of the shot.
+       *        WARNING: Model evaluation is not done for this classification type,
+       *        the quality of it depends on training data, but there are no
+       *        metrics provided to describe that quality.
+       * *  `1s_interval` - AutoML Video Intelligence returns labels and their
+       *        confidence scores for each second of the entire segment of the video
+       *        that user specified in the request configuration.
+       *        WARNING: Model evaluation is not done for this classification type,
+       *        the quality of it depends on training data, but there are no
+       *        metrics provided to describe that quality.
+       *
+ * + * string type = 1; + * + * @param value The bytes for type to set. + * @return This builder for chaining. + */ + public Builder setTypeBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + type_ = value; + onChanged(); + return this; + } + + private com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + classificationAnnotation_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation.Builder, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotationOrBuilder> + classificationAnnotationBuilder_; + /** + * + * + * 
+       * Output only . The classification details of this annotation.
+       *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2; + * + * + * @return Whether the classificationAnnotation field is set. + */ + public boolean hasClassificationAnnotation() { + return classificationAnnotationBuilder_ != null || classificationAnnotation_ != null; + } + /** + * + * + * 
+       * Output only . The classification details of this annotation.
+       *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2; + * + * + * @return The classificationAnnotation. + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + getClassificationAnnotation() { + if (classificationAnnotationBuilder_ == null) { + return classificationAnnotation_ == null + ? com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + .getDefaultInstance() + : classificationAnnotation_; + } else { + return classificationAnnotationBuilder_.getMessage(); + } + } + /** + * + * + * 
+       * Output only . The classification details of this annotation.
+       *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2; + * + */ + public Builder setClassificationAnnotation( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation value) { + if (classificationAnnotationBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + classificationAnnotation_ = value; + onChanged(); + } else { + classificationAnnotationBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+       * Output only . The classification details of this annotation.
+       *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2; + * + */ + public Builder setClassificationAnnotation( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation.Builder + builderForValue) { + if (classificationAnnotationBuilder_ == null) { + classificationAnnotation_ = builderForValue.build(); + onChanged(); + } else { + classificationAnnotationBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+       * Output only . The classification details of this annotation.
+       *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2; + * + */ + public Builder mergeClassificationAnnotation( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation value) { + if (classificationAnnotationBuilder_ == null) { + if (classificationAnnotation_ != null) { + classificationAnnotation_ = + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + .newBuilder(classificationAnnotation_) + .mergeFrom(value) + .buildPartial(); + } else { + classificationAnnotation_ = value; + } + onChanged(); + } else { + classificationAnnotationBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+       * Output only . The classification details of this annotation.
+       *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2; + * + */ + public Builder clearClassificationAnnotation() { + if (classificationAnnotationBuilder_ == null) { + classificationAnnotation_ = null; + onChanged(); + } else { + classificationAnnotation_ = null; + classificationAnnotationBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+       * Output only . The classification details of this annotation.
+       *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation.Builder + getClassificationAnnotationBuilder() { + + onChanged(); + return getClassificationAnnotationFieldBuilder().getBuilder(); + } + /** + * + * + * 
+       * Output only . The classification details of this annotation.
+       *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotationOrBuilder + getClassificationAnnotationOrBuilder() { + if (classificationAnnotationBuilder_ != null) { + return classificationAnnotationBuilder_.getMessageOrBuilder(); + } else { + return classificationAnnotation_ == null + ? com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + .getDefaultInstance() + : classificationAnnotation_; + } + } + /** + * + * + * 
+       * Output only . The classification details of this annotation.
+       *
+ * + * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation.Builder, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotationOrBuilder> + getClassificationAnnotationFieldBuilder() { + if (classificationAnnotationBuilder_ == null) { + classificationAnnotationBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation + .Builder, + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationAnnotationOrBuilder>( + getClassificationAnnotation(), getParentForChildren(), isClean()); + classificationAnnotation_ = null; + } + return classificationAnnotationBuilder_; + } + + private com.google.cloud.automl.v1beta1.TimeSegment timeSegment_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TimeSegment, + com.google.cloud.automl.v1beta1.TimeSegment.Builder, + com.google.cloud.automl.v1beta1.TimeSegmentOrBuilder> + timeSegmentBuilder_; + /** + * + * + * 
+       * Output only . The time segment of the video to which the
+       * annotation applies.
+       *
+ * + * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3; + * + * @return Whether the timeSegment field is set. + */ + public boolean hasTimeSegment() { + return timeSegmentBuilder_ != null || timeSegment_ != null; + } + /** + * + * + * 
+       * Output only . The time segment of the video to which the
+       * annotation applies.
+       *
+ * + * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3; + * + * @return The timeSegment. + */ + public com.google.cloud.automl.v1beta1.TimeSegment getTimeSegment() { + if (timeSegmentBuilder_ == null) { + return timeSegment_ == null + ? com.google.cloud.automl.v1beta1.TimeSegment.getDefaultInstance() + : timeSegment_; + } else { + return timeSegmentBuilder_.getMessage(); + } + } + /** + * + * + * 
+       * Output only . The time segment of the video to which the
+       * annotation applies.
+       *
+ * + * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3; + */ + public Builder setTimeSegment(com.google.cloud.automl.v1beta1.TimeSegment value) { + if (timeSegmentBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + timeSegment_ = value; + onChanged(); + } else { + timeSegmentBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+       * Output only . The time segment of the video to which the
+       * annotation applies.
+       *
+ * + * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3; + */ + public Builder setTimeSegment( + com.google.cloud.automl.v1beta1.TimeSegment.Builder builderForValue) { + if (timeSegmentBuilder_ == null) { + timeSegment_ = builderForValue.build(); + onChanged(); + } else { + timeSegmentBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+       * Output only . The time segment of the video to which the
+       * annotation applies.
+       *
+ * + * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3; + */ + public Builder mergeTimeSegment(com.google.cloud.automl.v1beta1.TimeSegment value) { + if (timeSegmentBuilder_ == null) { + if (timeSegment_ != null) { + timeSegment_ = + com.google.cloud.automl.v1beta1.TimeSegment.newBuilder(timeSegment_) + .mergeFrom(value) + .buildPartial(); + } else { + timeSegment_ = value; + } + onChanged(); + } else { + timeSegmentBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+       * Output only . The time segment of the video to which the
+       * annotation applies.
+       *
+ * + * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3; + */ + public Builder clearTimeSegment() { + if (timeSegmentBuilder_ == null) { + timeSegment_ = null; + onChanged(); + } else { + timeSegment_ = null; + timeSegmentBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+       * Output only . The time segment of the video to which the
+       * annotation applies.
+       *
+ * + * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3; + */ + public com.google.cloud.automl.v1beta1.TimeSegment.Builder getTimeSegmentBuilder() { + + onChanged(); + return getTimeSegmentFieldBuilder().getBuilder(); + } + /** + * + * + * 
+       * Output only . The time segment of the video to which the
+       * annotation applies.
+       *
+ * + * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3; + */ + public com.google.cloud.automl.v1beta1.TimeSegmentOrBuilder getTimeSegmentOrBuilder() { + if (timeSegmentBuilder_ != null) { + return timeSegmentBuilder_.getMessageOrBuilder(); + } else { + return timeSegment_ == null + ? com.google.cloud.automl.v1beta1.TimeSegment.getDefaultInstance() + : timeSegment_; + } + } + /** + * + * + * 
+       * Output only . The time segment of the video to which the
+       * annotation applies.
+       *
+ * + * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TimeSegment, + com.google.cloud.automl.v1beta1.TimeSegment.Builder, + com.google.cloud.automl.v1beta1.TimeSegmentOrBuilder> + getTimeSegmentFieldBuilder() { + if (timeSegmentBuilder_ == null) { + timeSegmentBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TimeSegment, + com.google.cloud.automl.v1beta1.TimeSegment.Builder, + com.google.cloud.automl.v1beta1.TimeSegmentOrBuilder>( + getTimeSegment(), getParentForChildren(), isClean()); + timeSegment_ = null; + } + return timeSegmentBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.VideoClassificationAnnotation) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.VideoClassificationAnnotation) + private static final com.google.cloud.automl.v1beta1.ClassificationProto + .VideoClassificationAnnotation + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = + new com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation(); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public VideoClassificationAnnotation parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new VideoClassificationAnnotation(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } + } + + public interface ClassificationEvaluationMetricsOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+     * Output only. The Area Under Precision-Recall Curve metric. Micro-averaged
+     * for the overall evaluation.
+     *
+ * + * float au_prc = 1; + * + * @return The auPrc. + */ + float getAuPrc(); + + /** + * + * + * 
+     * Output only. The Area Under Precision-Recall Curve metric based on priors.
+     * Micro-averaged for the overall evaluation.
+     * Deprecated.
+     *
+ * + * float base_au_prc = 2 [deprecated = true]; + * + * @return The baseAuPrc. + */ + @java.lang.Deprecated + float getBaseAuPrc(); + + /** + * + * + * 
+     * Output only. The Area Under Receiver Operating Characteristic curve metric.
+     * Micro-averaged for the overall evaluation.
+     *
+ * + * float au_roc = 6; + * + * @return The auRoc. + */ + float getAuRoc(); + + /** + * + * + * 
+     * Output only. The Log Loss metric.
+     *
+ * + * float log_loss = 7; + * + * @return The logLoss. + */ + float getLogLoss(); + + /** + * + * + * 
+     * Output only. Metrics for each confidence_threshold in
+     * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+     * position_threshold = INT32_MAX_VALUE.
+     * ROC and precision-recall curves, and other aggregated metrics are derived
+     * from them. The confidence metrics entries may also be supplied for
+     * additional values of position_threshold, but from these no aggregated
+     * metrics are computed.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + java.util.List< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry> + getConfidenceMetricsEntryList(); + /** + * + * + * 
+     * Output only. Metrics for each confidence_threshold in
+     * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+     * position_threshold = INT32_MAX_VALUE.
+     * ROC and precision-recall curves, and other aggregated metrics are derived
+     * from them. The confidence metrics entries may also be supplied for
+     * additional values of position_threshold, but from these no aggregated
+     * metrics are computed.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry + getConfidenceMetricsEntry(int index); + /** + * + * + * 
+     * Output only. Metrics for each confidence_threshold in
+     * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+     * position_threshold = INT32_MAX_VALUE.
+     * ROC and precision-recall curves, and other aggregated metrics are derived
+     * from them. The confidence metrics entries may also be supplied for
+     * additional values of position_threshold, but from these no aggregated
+     * metrics are computed.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + int getConfidenceMetricsEntryCount(); + /** + * + * + * 
+     * Output only. Metrics for each confidence_threshold in
+     * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+     * position_threshold = INT32_MAX_VALUE.
+     * ROC and precision-recall curves, and other aggregated metrics are derived
+     * from them. The confidence metrics entries may also be supplied for
+     * additional values of position_threshold, but from these no aggregated
+     * metrics are computed.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + java.util.List< + ? extends + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntryOrBuilder> + getConfidenceMetricsEntryOrBuilderList(); + /** + * + * + * 
+     * Output only. Metrics for each confidence_threshold in
+     * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+     * position_threshold = INT32_MAX_VALUE.
+     * ROC and precision-recall curves, and other aggregated metrics are derived
+     * from them. The confidence metrics entries may also be supplied for
+     * additional values of position_threshold, but from these no aggregated
+     * metrics are computed.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntryOrBuilder + getConfidenceMetricsEntryOrBuilder(int index); + + /** + * + * + * 
+     * Output only. Confusion matrix of the evaluation.
+     * Only set for MULTICLASS classification problems where number
+     * of labels is no more than 10.
+     * Only set for model level evaluation, not for evaluation per label.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4; + * + * + * @return Whether the confusionMatrix field is set. + */ + boolean hasConfusionMatrix(); + /** + * + * + * 
+     * Output only. Confusion matrix of the evaluation.
+     * Only set for MULTICLASS classification problems where number
+     * of labels is no more than 10.
+     * Only set for model level evaluation, not for evaluation per label.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4; + * + * + * @return The confusionMatrix. + */ + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + getConfusionMatrix(); + /** + * + * + * 
+     * Output only. Confusion matrix of the evaluation.
+     * Only set for MULTICLASS classification problems where number
+     * of labels is no more than 10.
+     * Only set for model level evaluation, not for evaluation per label.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4; + * + */ + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrixOrBuilder + getConfusionMatrixOrBuilder(); + + /** + * + * + * 
+     * Output only. The annotation spec ids used for this evaluation.
+     *
+ * + * repeated string annotation_spec_id = 5; + * + * @return A list containing the annotationSpecId. + */ + java.util.List getAnnotationSpecIdList(); + /** + * + * + * 
+     * Output only. The annotation spec ids used for this evaluation.
+     *
+ * + * repeated string annotation_spec_id = 5; + * + * @return The count of annotationSpecId. + */ + int getAnnotationSpecIdCount(); + /** + * + * + * 
+     * Output only. The annotation spec ids used for this evaluation.
+     *
+ * + * repeated string annotation_spec_id = 5; + * + * @param index The index of the element to return. + * @return The annotationSpecId at the given index. + */ + java.lang.String getAnnotationSpecId(int index); + /** + * + * + * 
+     * Output only. The annotation spec ids used for this evaluation.
+     *
+ * + * repeated string annotation_spec_id = 5; + * + * @param index The index of the value to return. + * @return The bytes of the annotationSpecId at the given index. + */ + com.google.protobuf.ByteString getAnnotationSpecIdBytes(int index); + } + /** + * + * + * 
+   * Model evaluation metrics for classification problems.
+   * Note: For Video Classification this metrics only describe quality of the
+   * Video Classification predictions of "segment_classification" type.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ClassificationEvaluationMetrics} + */ + public static final class ClassificationEvaluationMetrics + extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics) + ClassificationEvaluationMetricsOrBuilder { + private static final long serialVersionUID = 0L; + // Use ClassificationEvaluationMetrics.newBuilder() to construct. + private ClassificationEvaluationMetrics( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ClassificationEvaluationMetrics() { + confidenceMetricsEntry_ = java.util.Collections.emptyList(); + annotationSpecId_ = com.google.protobuf.LazyStringArrayList.EMPTY; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ClassificationEvaluationMetrics(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ClassificationEvaluationMetrics( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 13: + { + auPrc_ = input.readFloat(); + break; + } + case 21: + { + baseAuPrc_ = input.readFloat(); + break; + } + case 26: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + confidenceMetricsEntry_ = + new java.util.ArrayList< + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfidenceMetricsEntry>(); + mutable_bitField0_ |= 0x00000001; + } + confidenceMetricsEntry_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfidenceMetricsEntry.parser(), + extensionRegistry)); + break; + } + case 34: + { + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Builder + subBuilder = null; + if (confusionMatrix_ != null) { + subBuilder = confusionMatrix_.toBuilder(); + } + confusionMatrix_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(confusionMatrix_); + confusionMatrix_ = subBuilder.buildPartial(); + } + + break; + } + case 42: + { + java.lang.String s = input.readStringRequireUtf8(); + if (!((mutable_bitField0_ & 0x00000002) != 0)) { + annotationSpecId_ = new com.google.protobuf.LazyStringArrayList(); + mutable_bitField0_ |= 0x00000002; + } + annotationSpecId_.add(s); + break; + } + case 53: + { + auRoc_ = input.readFloat(); + break; + } + case 61: + { + logLoss_ = input.readFloat(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + confidenceMetricsEntry_ = java.util.Collections.unmodifiableList(confidenceMetricsEntry_); + } + if (((mutable_bitField0_ & 0x00000002) != 0)) { + annotationSpecId_ = annotationSpecId_.getUnmodifiableView(); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .class, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .Builder.class); + } + + public interface ConfidenceMetricsEntryOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+       * Output only. Metrics are computed with an assumption that the model
+       * never returns predictions with score lower than this value.
+       *
+ * + * float confidence_threshold = 1; + * + * @return The confidenceThreshold. + */ + float getConfidenceThreshold(); + + /** + * + * + * 
+       * Output only. Metrics are computed with an assumption that the model
+       * always returns at most this many predictions (ordered by their score,
+       * descendingly), but they all still need to meet the confidence_threshold.
+       *
+ * + * int32 position_threshold = 14; + * + * @return The positionThreshold. + */ + int getPositionThreshold(); + + /** + * + * + * 
+       * Output only. Recall (True Positive Rate) for the given confidence
+       * threshold.
+       *
+ * + * float recall = 2; + * + * @return The recall. + */ + float getRecall(); + + /** + * + * + * 
+       * Output only. Precision for the given confidence threshold.
+       *
+ * + * float precision = 3; + * + * @return The precision. + */ + float getPrecision(); + + /** + * + * + * 
+       * Output only. False Positive Rate for the given confidence threshold.
+       *
+ * + * float false_positive_rate = 8; + * + * @return The falsePositiveRate. + */ + float getFalsePositiveRate(); + + /** + * + * + * 
+       * Output only. The harmonic mean of recall and precision.
+       *
+ * + * float f1_score = 4; + * + * @return The f1Score. + */ + float getF1Score(); + + /** + * + * + * 
+       * Output only. The Recall (True Positive Rate) when only considering the
+       * label that has the highest prediction score and not below the confidence
+       * threshold for each example.
+       *
+ * + * float recall_at1 = 5; + * + * @return The recallAt1. + */ + float getRecallAt1(); + + /** + * + * + * 
+       * Output only. The precision when only considering the label that has the
+       * highest prediction score and not below the confidence threshold for each
+       * example.
+       *
+ * + * float precision_at1 = 6; + * + * @return The precisionAt1. + */ + float getPrecisionAt1(); + + /** + * + * + * 
+       * Output only. The False Positive Rate when only considering the label that
+       * has the highest prediction score and not below the confidence threshold
+       * for each example.
+       *
+ * + * float false_positive_rate_at1 = 9; + * + * @return The falsePositiveRateAt1. + */ + float getFalsePositiveRateAt1(); + + /** + * + * + * 
+       * Output only. The harmonic mean of [recall_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.recall_at1] and [precision_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.precision_at1].
+       *
+ * + * float f1_score_at1 = 7; + * + * @return The f1ScoreAt1. + */ + float getF1ScoreAt1(); + + /** + * + * + * 
+       * Output only. The number of model created labels that match a ground truth
+       * label.
+       *
+ * + * int64 true_positive_count = 10; + * + * @return The truePositiveCount. + */ + long getTruePositiveCount(); + + /** + * + * + * 
+       * Output only. The number of model created labels that do not match a
+       * ground truth label.
+       *
+ * + * int64 false_positive_count = 11; + * + * @return The falsePositiveCount. + */ + long getFalsePositiveCount(); + + /** + * + * + * 
+       * Output only. The number of ground truth labels that are not matched
+       * by a model created label.
+       *
+ * + * int64 false_negative_count = 12; + * + * @return The falseNegativeCount. + */ + long getFalseNegativeCount(); + + /** + * + * + * 
+       * Output only. The number of labels that were not created by the model,
+       * but if they would, they would not match a ground truth label.
+       *
+ * + * int64 true_negative_count = 13; + * + * @return The trueNegativeCount. + */ + long getTrueNegativeCount(); + } + /** + * + * + * 
+     * Metrics for a single confidence threshold.
+     *
+ * + * Protobuf type {@code + * google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry} + */ + public static final class ConfidenceMetricsEntry extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry) + ConfidenceMetricsEntryOrBuilder { + private static final long serialVersionUID = 0L; + // Use ConfidenceMetricsEntry.newBuilder() to construct. + private ConfidenceMetricsEntry(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ConfidenceMetricsEntry() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ConfidenceMetricsEntry(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ConfidenceMetricsEntry( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 13: + { + confidenceThreshold_ = input.readFloat(); + break; + } + case 21: + { + recall_ = input.readFloat(); + break; + } + case 29: + { + precision_ = input.readFloat(); + break; + } + case 37: + { + f1Score_ = input.readFloat(); + break; + } + case 45: + { + recallAt1_ = input.readFloat(); + break; + } + case 53: + { + precisionAt1_ = input.readFloat(); + break; + } + case 61: + { + f1ScoreAt1_ = input.readFloat(); + break; + } + case 69: + { + falsePositiveRate_ = input.readFloat(); + break; + } + case 77: + { + falsePositiveRateAt1_ = input.readFloat(); + break; + } + case 80: + { + truePositiveCount_ = input.readInt64(); + break; + } + case 88: + { + falsePositiveCount_ = input.readInt64(); + break; + } + case 96: + { + falseNegativeCount_ = input.readInt64(); + break; + } + case 104: + { + trueNegativeCount_ = input.readInt64(); + break; + } + case 112: + { + positionThreshold_ = input.readInt32(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e) + .setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfidenceMetricsEntry_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfidenceMetricsEntry_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry.class, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry.Builder.class); + } + + public static final int CONFIDENCE_THRESHOLD_FIELD_NUMBER = 1; + private float confidenceThreshold_; + /** + * + * + * 
+       * Output only. Metrics are computed with an assumption that the model
+       * never returns predictions with score lower than this value.
+       *
+ * + * float confidence_threshold = 1; + * + * @return The confidenceThreshold. + */ + public float getConfidenceThreshold() { + return confidenceThreshold_; + } + + public static final int POSITION_THRESHOLD_FIELD_NUMBER = 14; + private int positionThreshold_; + /** + * + * + * 
+       * Output only. Metrics are computed with an assumption that the model
+       * always returns at most this many predictions (ordered by their score,
+       * descendingly), but they all still need to meet the confidence_threshold.
+       *
+ * + * int32 position_threshold = 14; + * + * @return The positionThreshold. + */ + public int getPositionThreshold() { + return positionThreshold_; + } + + public static final int RECALL_FIELD_NUMBER = 2; + private float recall_; + /** + * + * + * 
+       * Output only. Recall (True Positive Rate) for the given confidence
+       * threshold.
+       *
+ * + * float recall = 2; + * + * @return The recall. + */ + public float getRecall() { + return recall_; + } + + public static final int PRECISION_FIELD_NUMBER = 3; + private float precision_; + /** + * + * + * 
+       * Output only. Precision for the given confidence threshold.
+       *
+ * + * float precision = 3; + * + * @return The precision. + */ + public float getPrecision() { + return precision_; + } + + public static final int FALSE_POSITIVE_RATE_FIELD_NUMBER = 8; + private float falsePositiveRate_; + /** + * + * + * 
+       * Output only. False Positive Rate for the given confidence threshold.
+       *
+ * + * float false_positive_rate = 8; + * + * @return The falsePositiveRate. + */ + public float getFalsePositiveRate() { + return falsePositiveRate_; + } + + public static final int F1_SCORE_FIELD_NUMBER = 4; + private float f1Score_; + /** + * + * + * 
+       * Output only. The harmonic mean of recall and precision.
+       *
+ * + * float f1_score = 4; + * + * @return The f1Score. + */ + public float getF1Score() { + return f1Score_; + } + + public static final int RECALL_AT1_FIELD_NUMBER = 5; + private float recallAt1_; + /** + * + * + * 
+       * Output only. The Recall (True Positive Rate) when only considering the
+       * label that has the highest prediction score and not below the confidence
+       * threshold for each example.
+       *
+ * + * float recall_at1 = 5; + * + * @return The recallAt1. + */ + public float getRecallAt1() { + return recallAt1_; + } + + public static final int PRECISION_AT1_FIELD_NUMBER = 6; + private float precisionAt1_; + /** + * + * + * 
+       * Output only. The precision when only considering the label that has the
+       * highest prediction score and not below the confidence threshold for each
+       * example.
+       *
+ * + * float precision_at1 = 6; + * + * @return The precisionAt1. + */ + public float getPrecisionAt1() { + return precisionAt1_; + } + + public static final int FALSE_POSITIVE_RATE_AT1_FIELD_NUMBER = 9; + private float falsePositiveRateAt1_; + /** + * + * + * 
+       * Output only. The False Positive Rate when only considering the label that
+       * has the highest prediction score and not below the confidence threshold
+       * for each example.
+       *
+ * + * float false_positive_rate_at1 = 9; + * + * @return The falsePositiveRateAt1. + */ + public float getFalsePositiveRateAt1() { + return falsePositiveRateAt1_; + } + + public static final int F1_SCORE_AT1_FIELD_NUMBER = 7; + private float f1ScoreAt1_; + /** + * + * + * 
+       * Output only. The harmonic mean of [recall_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.recall_at1] and [precision_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.precision_at1].
+       *
+ * + * float f1_score_at1 = 7; + * + * @return The f1ScoreAt1. + */ + public float getF1ScoreAt1() { + return f1ScoreAt1_; + } + + public static final int TRUE_POSITIVE_COUNT_FIELD_NUMBER = 10; + private long truePositiveCount_; + /** + * + * + * 
+       * Output only. The number of model created labels that match a ground truth
+       * label.
+       *
+ * + * int64 true_positive_count = 10; + * + * @return The truePositiveCount. + */ + public long getTruePositiveCount() { + return truePositiveCount_; + } + + public static final int FALSE_POSITIVE_COUNT_FIELD_NUMBER = 11; + private long falsePositiveCount_; + /** + * + * + * 
+       * Output only. The number of model created labels that do not match a
+       * ground truth label.
+       *
+ * + * int64 false_positive_count = 11; + * + * @return The falsePositiveCount. + */ + public long getFalsePositiveCount() { + return falsePositiveCount_; + } + + public static final int FALSE_NEGATIVE_COUNT_FIELD_NUMBER = 12; + private long falseNegativeCount_; + /** + * + * + * 
+       * Output only. The number of ground truth labels that are not matched
+       * by a model created label.
+       *
+ * + * int64 false_negative_count = 12; + * + * @return The falseNegativeCount. + */ + public long getFalseNegativeCount() { + return falseNegativeCount_; + } + + public static final int TRUE_NEGATIVE_COUNT_FIELD_NUMBER = 13; + private long trueNegativeCount_; + /** + * + * + * 
+       * Output only. The number of labels that were not created by the model,
+       * but if they would, they would not match a ground truth label.
+       *
+ * + * int64 true_negative_count = 13; + * + * @return The trueNegativeCount. + */ + public long getTrueNegativeCount() { + return trueNegativeCount_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (confidenceThreshold_ != 0F) { + output.writeFloat(1, confidenceThreshold_); + } + if (recall_ != 0F) { + output.writeFloat(2, recall_); + } + if (precision_ != 0F) { + output.writeFloat(3, precision_); + } + if (f1Score_ != 0F) { + output.writeFloat(4, f1Score_); + } + if (recallAt1_ != 0F) { + output.writeFloat(5, recallAt1_); + } + if (precisionAt1_ != 0F) { + output.writeFloat(6, precisionAt1_); + } + if (f1ScoreAt1_ != 0F) { + output.writeFloat(7, f1ScoreAt1_); + } + if (falsePositiveRate_ != 0F) { + output.writeFloat(8, falsePositiveRate_); + } + if (falsePositiveRateAt1_ != 0F) { + output.writeFloat(9, falsePositiveRateAt1_); + } + if (truePositiveCount_ != 0L) { + output.writeInt64(10, truePositiveCount_); + } + if (falsePositiveCount_ != 0L) { + output.writeInt64(11, falsePositiveCount_); + } + if (falseNegativeCount_ != 0L) { + output.writeInt64(12, falseNegativeCount_); + } + if (trueNegativeCount_ != 0L) { + output.writeInt64(13, trueNegativeCount_); + } + if (positionThreshold_ != 0) { + output.writeInt32(14, positionThreshold_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (confidenceThreshold_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, confidenceThreshold_); + } + if (recall_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(2, recall_); + } + if (precision_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(3, precision_); + } + if (f1Score_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(4, f1Score_); + } + if (recallAt1_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(5, recallAt1_); + } + if (precisionAt1_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(6, precisionAt1_); + } + if (f1ScoreAt1_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(7, f1ScoreAt1_); + } + if (falsePositiveRate_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(8, falsePositiveRate_); + } + if (falsePositiveRateAt1_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(9, falsePositiveRateAt1_); + } + if (truePositiveCount_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(10, truePositiveCount_); + } + if (falsePositiveCount_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(11, falsePositiveCount_); + } + if (falseNegativeCount_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(12, falseNegativeCount_); + } + if (trueNegativeCount_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(13, trueNegativeCount_); + } + if (positionThreshold_ != 0) { + size += com.google.protobuf.CodedOutputStream.computeInt32Size(14, positionThreshold_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj + instanceof + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry + other = + (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry) + obj; + + if (java.lang.Float.floatToIntBits(getConfidenceThreshold()) + != java.lang.Float.floatToIntBits(other.getConfidenceThreshold())) return false; + if (getPositionThreshold() != other.getPositionThreshold()) return false; + if (java.lang.Float.floatToIntBits(getRecall()) + != java.lang.Float.floatToIntBits(other.getRecall())) return false; + if (java.lang.Float.floatToIntBits(getPrecision()) + != java.lang.Float.floatToIntBits(other.getPrecision())) return false; + if (java.lang.Float.floatToIntBits(getFalsePositiveRate()) + != java.lang.Float.floatToIntBits(other.getFalsePositiveRate())) return false; + if (java.lang.Float.floatToIntBits(getF1Score()) + != java.lang.Float.floatToIntBits(other.getF1Score())) return false; + if (java.lang.Float.floatToIntBits(getRecallAt1()) + != java.lang.Float.floatToIntBits(other.getRecallAt1())) return false; + if (java.lang.Float.floatToIntBits(getPrecisionAt1()) + != java.lang.Float.floatToIntBits(other.getPrecisionAt1())) return false; + if (java.lang.Float.floatToIntBits(getFalsePositiveRateAt1()) + != java.lang.Float.floatToIntBits(other.getFalsePositiveRateAt1())) return false; + if (java.lang.Float.floatToIntBits(getF1ScoreAt1()) + != java.lang.Float.floatToIntBits(other.getF1ScoreAt1())) return false; + if (getTruePositiveCount() != other.getTruePositiveCount()) return false; + if (getFalsePositiveCount() != other.getFalsePositiveCount()) return false; + if (getFalseNegativeCount() != other.getFalseNegativeCount()) return false; + if (getTrueNegativeCount() != other.getTrueNegativeCount()) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + CONFIDENCE_THRESHOLD_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getConfidenceThreshold()); + hash = (37 * hash) + POSITION_THRESHOLD_FIELD_NUMBER; + hash = (53 * hash) + getPositionThreshold(); + hash = (37 * hash) + RECALL_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getRecall()); + hash = (37 * hash) + PRECISION_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getPrecision()); + hash = (37 * hash) + FALSE_POSITIVE_RATE_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getFalsePositiveRate()); + hash = (37 * hash) + F1_SCORE_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getF1Score()); + hash = (37 * hash) + RECALL_AT1_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getRecallAt1()); + hash = (37 * hash) + PRECISION_AT1_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getPrecisionAt1()); + hash = (37 * hash) + FALSE_POSITIVE_RATE_AT1_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getFalsePositiveRateAt1()); + hash = (37 * hash) + F1_SCORE_AT1_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getF1ScoreAt1()); + hash = (37 * hash) + TRUE_POSITIVE_COUNT_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getTruePositiveCount()); + hash = (37 * hash) + FALSE_POSITIVE_COUNT_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getFalsePositiveCount()); + hash = (37 * hash) + FALSE_NEGATIVE_COUNT_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getFalseNegativeCount()); + hash = (37 * hash) + TRUE_NEGATIVE_COUNT_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getTrueNegativeCount()); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfidenceMetricsEntry + parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfidenceMetricsEntry + parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfidenceMetricsEntry + parseFrom(com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfidenceMetricsEntry + parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfidenceMetricsEntry + parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfidenceMetricsEntry + parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfidenceMetricsEntry + parseFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfidenceMetricsEntry + parseFrom( + java.io.InputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfidenceMetricsEntry + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfidenceMetricsEntry + parseDelimitedFrom( + java.io.InputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfidenceMetricsEntry + parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfidenceMetricsEntry + parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry + prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType( + com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+       * Metrics for a single confidence threshold.
+       *
+ * + * Protobuf type {@code + * google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry} + */ + public static final class Builder + extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry) + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntryOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfidenceMetricsEntry_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfidenceMetricsEntry_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfidenceMetricsEntry.class, + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder.class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + confidenceThreshold_ = 0F; + + positionThreshold_ = 0; + + recall_ = 0F; + + precision_ = 0F; + + falsePositiveRate_ = 0F; + + f1Score_ = 0F; + + recallAt1_ = 0F; + + precisionAt1_ = 0F; + + falsePositiveRateAt1_ = 0F; + + f1ScoreAt1_ = 0F; + + truePositiveCount_ = 0L; + + falsePositiveCount_ = 0L; + + falseNegativeCount_ = 0L; + + trueNegativeCount_ = 0L; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfidenceMetricsEntry_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry + build() { + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry + result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry + buildPartial() { + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry + result = + new com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfidenceMetricsEntry(this); + result.confidenceThreshold_ = confidenceThreshold_; + result.positionThreshold_ = positionThreshold_; + result.recall_ = recall_; + result.precision_ = precision_; + result.falsePositiveRate_ = falsePositiveRate_; + result.f1Score_ = f1Score_; + result.recallAt1_ = recallAt1_; + result.precisionAt1_ = precisionAt1_; + result.falsePositiveRateAt1_ = falsePositiveRateAt1_; + result.f1ScoreAt1_ = f1ScoreAt1_; + result.truePositiveCount_ = truePositiveCount_; + result.falsePositiveCount_ = falsePositiveCount_; + result.falseNegativeCount_ = falseNegativeCount_; + result.trueNegativeCount_ = trueNegativeCount_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, + int index, + java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other + instanceof + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry) + other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry + other) { + if (other + == com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry.getDefaultInstance()) return this; + if (other.getConfidenceThreshold() != 0F) { + setConfidenceThreshold(other.getConfidenceThreshold()); + } + if (other.getPositionThreshold() != 0) { + setPositionThreshold(other.getPositionThreshold()); + } + if (other.getRecall() != 0F) { + setRecall(other.getRecall()); + } + if (other.getPrecision() != 0F) { + setPrecision(other.getPrecision()); + } + if (other.getFalsePositiveRate() != 0F) { + setFalsePositiveRate(other.getFalsePositiveRate()); + } + if (other.getF1Score() != 0F) { + setF1Score(other.getF1Score()); + } + if (other.getRecallAt1() != 0F) { + setRecallAt1(other.getRecallAt1()); + } + if (other.getPrecisionAt1() != 0F) { + setPrecisionAt1(other.getPrecisionAt1()); + } + if (other.getFalsePositiveRateAt1() != 0F) { + setFalsePositiveRateAt1(other.getFalsePositiveRateAt1()); + } + if (other.getF1ScoreAt1() != 0F) { + setF1ScoreAt1(other.getF1ScoreAt1()); + } + if (other.getTruePositiveCount() != 0L) { + setTruePositiveCount(other.getTruePositiveCount()); + } + if (other.getFalsePositiveCount() != 0L) { + setFalsePositiveCount(other.getFalsePositiveCount()); + } + if (other.getFalseNegativeCount() != 0L) { + setFalseNegativeCount(other.getFalseNegativeCount()); + } + if (other.getTrueNegativeCount() != 0L) { + setTrueNegativeCount(other.getTrueNegativeCount()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry + parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private float confidenceThreshold_; + /** + * + * + * 
+         * Output only. Metrics are computed with an assumption that the model
+         * never returns predictions with score lower than this value.
+         *
+ * + * float confidence_threshold = 1; + * + * @return The confidenceThreshold. + */ + public float getConfidenceThreshold() { + return confidenceThreshold_; + } + /** + * + * + * 
+         * Output only. Metrics are computed with an assumption that the model
+         * never returns predictions with score lower than this value.
+         *
+ * + * float confidence_threshold = 1; + * + * @param value The confidenceThreshold to set. + * @return This builder for chaining. + */ + public Builder setConfidenceThreshold(float value) { + + confidenceThreshold_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+         * Output only. Metrics are computed with an assumption that the model
+         * never returns predictions with score lower than this value.
+         *
+ * + * float confidence_threshold = 1; + * + * @return This builder for chaining. + */ + public Builder clearConfidenceThreshold() { + + confidenceThreshold_ = 0F; + onChanged(); + return this; + } + + private int positionThreshold_; + /** + * + * + * 
+         * Output only. Metrics are computed with an assumption that the model
+         * always returns at most this many predictions (ordered by their score,
+         * descendingly), but they all still need to meet the confidence_threshold.
+         *
+ * + * int32 position_threshold = 14; + * + * @return The positionThreshold. + */ + public int getPositionThreshold() { + return positionThreshold_; + } + /** + * + * + * 
+         * Output only. Metrics are computed with an assumption that the model
+         * always returns at most this many predictions (ordered by their score,
+         * descendingly), but they all still need to meet the confidence_threshold.
+         *
+ * + * int32 position_threshold = 14; + * + * @param value The positionThreshold to set. + * @return This builder for chaining. + */ + public Builder setPositionThreshold(int value) { + + positionThreshold_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+         * Output only. Metrics are computed with an assumption that the model
+         * always returns at most this many predictions (ordered by their score,
+         * descendingly), but they all still need to meet the confidence_threshold.
+         *
+ * + * int32 position_threshold = 14; + * + * @return This builder for chaining. + */ + public Builder clearPositionThreshold() { + + positionThreshold_ = 0; + onChanged(); + return this; + } + + private float recall_; + /** + * + * + * 
+         * Output only. Recall (True Positive Rate) for the given confidence
+         * threshold.
+         *
+ * + * float recall = 2; + * + * @return The recall. + */ + public float getRecall() { + return recall_; + } + /** + * + * + * 
+         * Output only. Recall (True Positive Rate) for the given confidence
+         * threshold.
+         *
+ * + * float recall = 2; + * + * @param value The recall to set. + * @return This builder for chaining. + */ + public Builder setRecall(float value) { + + recall_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+         * Output only. Recall (True Positive Rate) for the given confidence
+         * threshold.
+         *
+ * + * float recall = 2; + * + * @return This builder for chaining. + */ + public Builder clearRecall() { + + recall_ = 0F; + onChanged(); + return this; + } + + private float precision_; + /** + * + * + * 
+         * Output only. Precision for the given confidence threshold.
+         *
+ * + * float precision = 3; + * + * @return The precision. + */ + public float getPrecision() { + return precision_; + } + /** + * + * + * 
+         * Output only. Precision for the given confidence threshold.
+         *
+ * + * float precision = 3; + * + * @param value The precision to set. + * @return This builder for chaining. + */ + public Builder setPrecision(float value) { + + precision_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+         * Output only. Precision for the given confidence threshold.
+         *
+ * + * float precision = 3; + * + * @return This builder for chaining. + */ + public Builder clearPrecision() { + + precision_ = 0F; + onChanged(); + return this; + } + + private float falsePositiveRate_; + /** + * + * + * 
+         * Output only. False Positive Rate for the given confidence threshold.
+         *
+ * + * float false_positive_rate = 8; + * + * @return The falsePositiveRate. + */ + public float getFalsePositiveRate() { + return falsePositiveRate_; + } + /** + * + * + * 
+         * Output only. False Positive Rate for the given confidence threshold.
+         *
+ * + * float false_positive_rate = 8; + * + * @param value The falsePositiveRate to set. + * @return This builder for chaining. + */ + public Builder setFalsePositiveRate(float value) { + + falsePositiveRate_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+         * Output only. False Positive Rate for the given confidence threshold.
+         *
+ * + * float false_positive_rate = 8; + * + * @return This builder for chaining. + */ + public Builder clearFalsePositiveRate() { + + falsePositiveRate_ = 0F; + onChanged(); + return this; + } + + private float f1Score_; + /** + * + * + * 
+         * Output only. The harmonic mean of recall and precision.
+         *
+ * + * float f1_score = 4; + * + * @return The f1Score. + */ + public float getF1Score() { + return f1Score_; + } + /** + * + * + * 
+         * Output only. The harmonic mean of recall and precision.
+         *
+ * + * float f1_score = 4; + * + * @param value The f1Score to set. + * @return This builder for chaining. + */ + public Builder setF1Score(float value) { + + f1Score_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+         * Output only. The harmonic mean of recall and precision.
+         *
+ * + * float f1_score = 4; + * + * @return This builder for chaining. + */ + public Builder clearF1Score() { + + f1Score_ = 0F; + onChanged(); + return this; + } + + private float recallAt1_; + /** + * + * + * 
+         * Output only. The Recall (True Positive Rate) when only considering the
+         * label that has the highest prediction score and not below the confidence
+         * threshold for each example.
+         *
+ * + * float recall_at1 = 5; + * + * @return The recallAt1. + */ + public float getRecallAt1() { + return recallAt1_; + } + /** + * + * + * 
+         * Output only. The Recall (True Positive Rate) when only considering the
+         * label that has the highest prediction score and not below the confidence
+         * threshold for each example.
+         *
+ * + * float recall_at1 = 5; + * + * @param value The recallAt1 to set. + * @return This builder for chaining. + */ + public Builder setRecallAt1(float value) { + + recallAt1_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+         * Output only. The Recall (True Positive Rate) when only considering the
+         * label that has the highest prediction score and not below the confidence
+         * threshold for each example.
+         *
+ * + * float recall_at1 = 5; + * + * @return This builder for chaining. + */ + public Builder clearRecallAt1() { + + recallAt1_ = 0F; + onChanged(); + return this; + } + + private float precisionAt1_; + /** + * + * + * 
+         * Output only. The precision when only considering the label that has the
+         * highest prediction score and not below the confidence threshold for each
+         * example.
+         *
+ * + * float precision_at1 = 6; + * + * @return The precisionAt1. + */ + public float getPrecisionAt1() { + return precisionAt1_; + } + /** + * + * + * 
+         * Output only. The precision when only considering the label that has the
+         * highest prediction score and not below the confidence threshold for each
+         * example.
+         *
+ * + * float precision_at1 = 6; + * + * @param value The precisionAt1 to set. + * @return This builder for chaining. + */ + public Builder setPrecisionAt1(float value) { + + precisionAt1_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+         * Output only. The precision when only considering the label that has the
+         * highest prediction score and not below the confidence threshold for each
+         * example.
+         *
+ * + * float precision_at1 = 6; + * + * @return This builder for chaining. + */ + public Builder clearPrecisionAt1() { + + precisionAt1_ = 0F; + onChanged(); + return this; + } + + private float falsePositiveRateAt1_; + /** + * + * + * 
+         * Output only. The False Positive Rate when only considering the label that
+         * has the highest prediction score and not below the confidence threshold
+         * for each example.
+         *
+ * + * float false_positive_rate_at1 = 9; + * + * @return The falsePositiveRateAt1. + */ + public float getFalsePositiveRateAt1() { + return falsePositiveRateAt1_; + } + /** + * + * + * 
+         * Output only. The False Positive Rate when only considering the label that
+         * has the highest prediction score and not below the confidence threshold
+         * for each example.
+         *
+ * + * float false_positive_rate_at1 = 9; + * + * @param value The falsePositiveRateAt1 to set. + * @return This builder for chaining. + */ + public Builder setFalsePositiveRateAt1(float value) { + + falsePositiveRateAt1_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+         * Output only. The False Positive Rate when only considering the label that
+         * has the highest prediction score and not below the confidence threshold
+         * for each example.
+         *
+ * + * float false_positive_rate_at1 = 9; + * + * @return This builder for chaining. + */ + public Builder clearFalsePositiveRateAt1() { + + falsePositiveRateAt1_ = 0F; + onChanged(); + return this; + } + + private float f1ScoreAt1_; + /** + * + * + * 
+         * Output only. The harmonic mean of [recall_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.recall_at1] and [precision_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.precision_at1].
+         *
+ * + * float f1_score_at1 = 7; + * + * @return The f1ScoreAt1. + */ + public float getF1ScoreAt1() { + return f1ScoreAt1_; + } + /** + * + * + * 
+         * Output only. The harmonic mean of [recall_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.recall_at1] and [precision_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.precision_at1].
+         *
+ * + * float f1_score_at1 = 7; + * + * @param value The f1ScoreAt1 to set. + * @return This builder for chaining. + */ + public Builder setF1ScoreAt1(float value) { + + f1ScoreAt1_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+         * Output only. The harmonic mean of [recall_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.recall_at1] and [precision_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.precision_at1].
+         *
+ * + * float f1_score_at1 = 7; + * + * @return This builder for chaining. + */ + public Builder clearF1ScoreAt1() { + + f1ScoreAt1_ = 0F; + onChanged(); + return this; + } + + private long truePositiveCount_; + /** + * + * + * 
+         * Output only. The number of model created labels that match a ground truth
+         * label.
+         *
+ * + * int64 true_positive_count = 10; + * + * @return The truePositiveCount. + */ + public long getTruePositiveCount() { + return truePositiveCount_; + } + /** + * + * + * 
+         * Output only. The number of model created labels that match a ground truth
+         * label.
+         *
+ * + * int64 true_positive_count = 10; + * + * @param value The truePositiveCount to set. + * @return This builder for chaining. + */ + public Builder setTruePositiveCount(long value) { + + truePositiveCount_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+         * Output only. The number of model created labels that match a ground truth
+         * label.
+         *
+ * + * int64 true_positive_count = 10; + * + * @return This builder for chaining. + */ + public Builder clearTruePositiveCount() { + + truePositiveCount_ = 0L; + onChanged(); + return this; + } + + private long falsePositiveCount_; + /** + * + * + * 
+         * Output only. The number of model created labels that do not match a
+         * ground truth label.
+         *
+ * + * int64 false_positive_count = 11; + * + * @return The falsePositiveCount. + */ + public long getFalsePositiveCount() { + return falsePositiveCount_; + } + /** + * + * + * 
+         * Output only. The number of model created labels that do not match a
+         * ground truth label.
+         *
+ * + * int64 false_positive_count = 11; + * + * @param value The falsePositiveCount to set. + * @return This builder for chaining. + */ + public Builder setFalsePositiveCount(long value) { + + falsePositiveCount_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+         * Output only. The number of model created labels that do not match a
+         * ground truth label.
+         *
+ * + * int64 false_positive_count = 11; + * + * @return This builder for chaining. + */ + public Builder clearFalsePositiveCount() { + + falsePositiveCount_ = 0L; + onChanged(); + return this; + } + + private long falseNegativeCount_; + /** + * + * + * 
+         * Output only. The number of ground truth labels that are not matched
+         * by a model created label.
+         *
+ * + * int64 false_negative_count = 12; + * + * @return The falseNegativeCount. + */ + public long getFalseNegativeCount() { + return falseNegativeCount_; + } + /** + * + * + * 
+         * Output only. The number of ground truth labels that are not matched
+         * by a model created label.
+         *
+ * + * int64 false_negative_count = 12; + * + * @param value The falseNegativeCount to set. + * @return This builder for chaining. + */ + public Builder setFalseNegativeCount(long value) { + + falseNegativeCount_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+         * Output only. The number of ground truth labels that are not matched
+         * by a model created label.
+         *
+ * + * int64 false_negative_count = 12; + * + * @return This builder for chaining. + */ + public Builder clearFalseNegativeCount() { + + falseNegativeCount_ = 0L; + onChanged(); + return this; + } + + private long trueNegativeCount_; + /** + * + * + * 
+         * Output only. The number of labels that were not created by the model,
+         * but if they would, they would not match a ground truth label.
+         *
+ * + * int64 true_negative_count = 13; + * + * @return The trueNegativeCount. + */ + public long getTrueNegativeCount() { + return trueNegativeCount_; + } + /** + * + * + * 
+         * Output only. The number of labels that were not created by the model,
+         * but if they would, they would not match a ground truth label.
+         *
+ * + * int64 true_negative_count = 13; + * + * @param value The trueNegativeCount to set. + * @return This builder for chaining. + */ + public Builder setTrueNegativeCount(long value) { + + trueNegativeCount_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+         * Output only. The number of labels that were not created by the model,
+         * but if they would, they would not match a ground truth label.
+         *
+ * + * int64 true_negative_count = 13; + * + * @return This builder for chaining. + */ + public Builder clearTrueNegativeCount() { + + trueNegativeCount_ = 0L; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry) + private static final com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfidenceMetricsEntry + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = + new com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry(); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfidenceMetricsEntry + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ConfidenceMetricsEntry parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ConfidenceMetricsEntry(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } + } + + public interface ConfusionMatrixOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+       * Output only. IDs of the annotation specs used in the confusion matrix.
+       * For Tables CLASSIFICATION
+       * [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+       * only list of [annotation_spec_display_name-s][] is populated.
+       *
+ * + * repeated string annotation_spec_id = 1; + * + * @return A list containing the annotationSpecId. + */ + java.util.List getAnnotationSpecIdList(); + /** + * + * + * 
+       * Output only. IDs of the annotation specs used in the confusion matrix.
+       * For Tables CLASSIFICATION
+       * [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+       * only list of [annotation_spec_display_name-s][] is populated.
+       *
+ * + * repeated string annotation_spec_id = 1; + * + * @return The count of annotationSpecId. + */ + int getAnnotationSpecIdCount(); + /** + * + * + * 
+       * Output only. IDs of the annotation specs used in the confusion matrix.
+       * For Tables CLASSIFICATION
+       * [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+       * only list of [annotation_spec_display_name-s][] is populated.
+       *
+ * + * repeated string annotation_spec_id = 1; + * + * @param index The index of the element to return. + * @return The annotationSpecId at the given index. + */ + java.lang.String getAnnotationSpecId(int index); + /** + * + * + * 
+       * Output only. IDs of the annotation specs used in the confusion matrix.
+       * For Tables CLASSIFICATION
+       * [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+       * only list of [annotation_spec_display_name-s][] is populated.
+       *
+ * + * repeated string annotation_spec_id = 1; + * + * @param index The index of the value to return. + * @return The bytes of the annotationSpecId at the given index. + */ + com.google.protobuf.ByteString getAnnotationSpecIdBytes(int index); + + /** + * + * + * 
+       * Output only. Display name of the annotation specs used in the confusion
+       * matrix, as they were at the moment of the evaluation. For Tables
+       * CLASSIFICATION
+       * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type],
+       * distinct values of the target column at the moment of the model
+       * evaluation are populated here.
+       *
+ * + * repeated string display_name = 3; + * + * @return A list containing the displayName. + */ + java.util.List getDisplayNameList(); + /** + * + * + * 
+       * Output only. Display name of the annotation specs used in the confusion
+       * matrix, as they were at the moment of the evaluation. For Tables
+       * CLASSIFICATION
+       * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type],
+       * distinct values of the target column at the moment of the model
+       * evaluation are populated here.
+       *
+ * + * repeated string display_name = 3; + * + * @return The count of displayName. + */ + int getDisplayNameCount(); + /** + * + * + * 
+       * Output only. Display name of the annotation specs used in the confusion
+       * matrix, as they were at the moment of the evaluation. For Tables
+       * CLASSIFICATION
+       * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type],
+       * distinct values of the target column at the moment of the model
+       * evaluation are populated here.
+       *
+ * + * repeated string display_name = 3; + * + * @param index The index of the element to return. + * @return The displayName at the given index. + */ + java.lang.String getDisplayName(int index); + /** + * + * + * 
+       * Output only. Display name of the annotation specs used in the confusion
+       * matrix, as they were at the moment of the evaluation. For Tables
+       * CLASSIFICATION
+       * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type],
+       * distinct values of the target column at the moment of the model
+       * evaluation are populated here.
+       *
+ * + * repeated string display_name = 3; + * + * @param index The index of the value to return. + * @return The bytes of the displayName at the given index. + */ + com.google.protobuf.ByteString getDisplayNameBytes(int index); + + /** + * + * + * 
+       * Output only. Rows in the confusion matrix. The number of rows is equal to
+       * the size of `annotation_spec_id`.
+       * `row[i].example_count[j]` is the number of examples that have ground
+       * truth of the `annotation_spec_id[i]` and are predicted as
+       * `annotation_spec_id[j]` by the model being evaluated.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + java.util.List< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row> + getRowList(); + /** + * + * + * 
+       * Output only. Rows in the confusion matrix. The number of rows is equal to
+       * the size of `annotation_spec_id`.
+       * `row[i].example_count[j]` is the number of examples that have ground
+       * truth of the `annotation_spec_id[i]` and are predicted as
+       * `annotation_spec_id[j]` by the model being evaluated.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row + getRow(int index); + /** + * + * + * 
+       * Output only. Rows in the confusion matrix. The number of rows is equal to
+       * the size of `annotation_spec_id`.
+       * `row[i].example_count[j]` is the number of examples that have ground
+       * truth of the `annotation_spec_id[i]` and are predicted as
+       * `annotation_spec_id[j]` by the model being evaluated.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + int getRowCount(); + /** + * + * + * 
+       * Output only. Rows in the confusion matrix. The number of rows is equal to
+       * the size of `annotation_spec_id`.
+       * `row[i].example_count[j]` is the number of examples that have ground
+       * truth of the `annotation_spec_id[i]` and are predicted as
+       * `annotation_spec_id[j]` by the model being evaluated.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + java.util.List< + ? extends + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.RowOrBuilder> + getRowOrBuilderList(); + /** + * + * + * 
+       * Output only. Rows in the confusion matrix. The number of rows is equal to
+       * the size of `annotation_spec_id`.
+       * `row[i].example_count[j]` is the number of examples that have ground
+       * truth of the `annotation_spec_id[i]` and are predicted as
+       * `annotation_spec_id[j]` by the model being evaluated.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.RowOrBuilder + getRowOrBuilder(int index); + } + /** + * + * + * 
+     * Confusion matrix of the model running the classification.
+     *
+ * + * Protobuf type {@code + * google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix} + */ + public static final class ConfusionMatrix extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix) + ConfusionMatrixOrBuilder { + private static final long serialVersionUID = 0L; + // Use ConfusionMatrix.newBuilder() to construct. + private ConfusionMatrix(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ConfusionMatrix() { + annotationSpecId_ = com.google.protobuf.LazyStringArrayList.EMPTY; + displayName_ = com.google.protobuf.LazyStringArrayList.EMPTY; + row_ = java.util.Collections.emptyList(); + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ConfusionMatrix(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ConfusionMatrix( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + annotationSpecId_ = new com.google.protobuf.LazyStringArrayList(); + mutable_bitField0_ |= 0x00000001; + } + annotationSpecId_.add(s); + break; + } + case 18: + { + if (!((mutable_bitField0_ & 0x00000004) != 0)) { + row_ = + new java.util.ArrayList< + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row>(); + mutable_bitField0_ |= 0x00000004; + } + row_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row.parser(), + extensionRegistry)); + break; + } + case 26: + { + java.lang.String s = input.readStringRequireUtf8(); + if (!((mutable_bitField0_ & 0x00000002) != 0)) { + displayName_ = new com.google.protobuf.LazyStringArrayList(); + mutable_bitField0_ |= 0x00000002; + } + displayName_.add(s); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e) + .setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + annotationSpecId_ = annotationSpecId_.getUnmodifiableView(); + } + if (((mutable_bitField0_ & 0x00000004) != 0)) { + row_ = java.util.Collections.unmodifiableList(row_); + } + if (((mutable_bitField0_ & 0x00000002) != 0)) { + displayName_ = displayName_.getUnmodifiableView(); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfusionMatrix_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfusionMatrix_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.class, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Builder.class); + } + + public interface RowOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+         * Output only. Value of the specific cell in the confusion matrix.
+         * The number of values each row has (i.e. the length of the row) is equal
+         * to the length of the `annotation_spec_id` field or, if that one is not
+         * populated, length of the [display_name][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.display_name] field.
+         *
+ * + * repeated int32 example_count = 1; + * + * @return A list containing the exampleCount. + */ + java.util.List getExampleCountList(); + /** + * + * + * 
+         * Output only. Value of the specific cell in the confusion matrix.
+         * The number of values each row has (i.e. the length of the row) is equal
+         * to the length of the `annotation_spec_id` field or, if that one is not
+         * populated, length of the [display_name][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.display_name] field.
+         *
+ * + * repeated int32 example_count = 1; + * + * @return The count of exampleCount. + */ + int getExampleCountCount(); + /** + * + * + * 
+         * Output only. Value of the specific cell in the confusion matrix.
+         * The number of values each row has (i.e. the length of the row) is equal
+         * to the length of the `annotation_spec_id` field or, if that one is not
+         * populated, length of the [display_name][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.display_name] field.
+         *
+ * + * repeated int32 example_count = 1; + * + * @param index The index of the element to return. + * @return The exampleCount at the given index. + */ + int getExampleCount(int index); + } + /** + * + * + * 
+       * Output only. A row in the confusion matrix.
+       *
+ * + * Protobuf type {@code + * google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row} + */ + public static final class Row extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row) + RowOrBuilder { + private static final long serialVersionUID = 0L; + // Use Row.newBuilder() to construct. + private Row(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private Row() { + exampleCount_ = emptyIntList(); + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new Row(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private Row( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 8: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + exampleCount_ = newIntList(); + mutable_bitField0_ |= 0x00000001; + } + exampleCount_.addInt(input.readInt32()); + break; + } + case 10: + { + int length = input.readRawVarint32(); + int limit = input.pushLimit(length); + if (!((mutable_bitField0_ & 0x00000001) != 0) + && input.getBytesUntilLimit() > 0) { + exampleCount_ = newIntList(); + mutable_bitField0_ |= 0x00000001; + } + while (input.getBytesUntilLimit() > 0) { + exampleCount_.addInt(input.readInt32()); + } + input.popLimit(limit); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e) + .setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + exampleCount_.makeImmutable(); // C + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfusionMatrix_Row_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfusionMatrix_Row_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row.class, + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder.class); + } + + public static final int EXAMPLE_COUNT_FIELD_NUMBER = 1; + private com.google.protobuf.Internal.IntList exampleCount_; + /** + * + * + * 
+         * Output only. Value of the specific cell in the confusion matrix.
+         * The number of values each row has (i.e. the length of the row) is equal
+         * to the length of the `annotation_spec_id` field or, if that one is not
+         * populated, length of the [display_name][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.display_name] field.
+         *
+ * + * repeated int32 example_count = 1; + * + * @return A list containing the exampleCount. + */ + public java.util.List getExampleCountList() { + return exampleCount_; + } + /** + * + * + * 
+         * Output only. Value of the specific cell in the confusion matrix.
+         * The number of values each row has (i.e. the length of the row) is equal
+         * to the length of the `annotation_spec_id` field or, if that one is not
+         * populated, length of the [display_name][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.display_name] field.
+         *
+ * + * repeated int32 example_count = 1; + * + * @return The count of exampleCount. + */ + public int getExampleCountCount() { + return exampleCount_.size(); + } + /** + * + * + * 
+         * Output only. Value of the specific cell in the confusion matrix.
+         * The number of values each row has (i.e. the length of the row) is equal
+         * to the length of the `annotation_spec_id` field or, if that one is not
+         * populated, length of the [display_name][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.display_name] field.
+         *
+ * + * repeated int32 example_count = 1; + * + * @param index The index of the element to return. + * @return The exampleCount at the given index. + */ + public int getExampleCount(int index) { + return exampleCount_.getInt(index); + } + + private int exampleCountMemoizedSerializedSize = -1; + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) + throws java.io.IOException { + getSerializedSize(); + if (getExampleCountList().size() > 0) { + output.writeUInt32NoTag(10); + output.writeUInt32NoTag(exampleCountMemoizedSerializedSize); + } + for (int i = 0; i < exampleCount_.size(); i++) { + output.writeInt32NoTag(exampleCount_.getInt(i)); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + { + int dataSize = 0; + for (int i = 0; i < exampleCount_.size(); i++) { + dataSize += + com.google.protobuf.CodedOutputStream.computeInt32SizeNoTag( + exampleCount_.getInt(i)); + } + size += dataSize; + if (!getExampleCountList().isEmpty()) { + size += 1; + size += com.google.protobuf.CodedOutputStream.computeInt32SizeNoTag(dataSize); + } + exampleCountMemoizedSerializedSize = dataSize; + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj + instanceof + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row + other = + (com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row) + obj; + + if (!getExampleCountList().equals(other.getExampleCountList())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (getExampleCountCount() > 0) { + hash = (37 * hash) + EXAMPLE_COUNT_FIELD_NUMBER; + hash = (53 * hash) + getExampleCountList().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row + parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row + parseFrom( + java.nio.ByteBuffer data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row + parseFrom(com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row + parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row + parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row + parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row + parseFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row + parseFrom( + java.io.InputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row + parseDelimitedFrom( + java.io.InputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row + parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row + parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row + prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType( + com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+         * Output only. A row in the confusion matrix.
+         *
+ * + * Protobuf type {@code + * google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row} + */ + public static final class Builder + extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row) + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.RowOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfusionMatrix_Row_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfusionMatrix_Row_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row.class, + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder.class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + exampleCount_ = emptyIntList(); + bitField0_ = (bitField0_ & ~0x00000001); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfusionMatrix_Row_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row + build() { + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row + result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row + buildPartial() { + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row + result = + new com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row(this); + int from_bitField0_ = bitField0_; + if (((bitField0_ & 0x00000001) != 0)) { + exampleCount_.makeImmutable(); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.exampleCount_ = exampleCount_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, + int index, + java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other + instanceof + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row) + other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row + other) { + if (other + == com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row.getDefaultInstance()) + return this; + if (!other.exampleCount_.isEmpty()) { + if (exampleCount_.isEmpty()) { + exampleCount_ = other.exampleCount_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensureExampleCountIsMutable(); + exampleCount_.addAll(other.exampleCount_); + } + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row + parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private com.google.protobuf.Internal.IntList exampleCount_ = emptyIntList(); + + private void ensureExampleCountIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + exampleCount_ = mutableCopy(exampleCount_); + bitField0_ |= 0x00000001; + } + } + /** + * + * + * 
+           * Output only. Value of the specific cell in the confusion matrix.
+           * The number of values each row has (i.e. the length of the row) is equal
+           * to the length of the `annotation_spec_id` field or, if that one is not
+           * populated, length of the [display_name][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.display_name] field.
+           *
+ * + * repeated int32 example_count = 1; + * + * @return A list containing the exampleCount. + */ + public java.util.List getExampleCountList() { + return ((bitField0_ & 0x00000001) != 0) + ? java.util.Collections.unmodifiableList(exampleCount_) + : exampleCount_; + } + /** + * + * + * 
+           * Output only. Value of the specific cell in the confusion matrix.
+           * The number of values each row has (i.e. the length of the row) is equal
+           * to the length of the `annotation_spec_id` field or, if that one is not
+           * populated, length of the [display_name][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.display_name] field.
+           *
+ * + * repeated int32 example_count = 1; + * + * @return The count of exampleCount. + */ + public int getExampleCountCount() { + return exampleCount_.size(); + } + /** + * + * + * 
+           * Output only. Value of the specific cell in the confusion matrix.
+           * The number of values each row has (i.e. the length of the row) is equal
+           * to the length of the `annotation_spec_id` field or, if that one is not
+           * populated, length of the [display_name][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.display_name] field.
+           *
+ * + * repeated int32 example_count = 1; + * + * @param index The index of the element to return. + * @return The exampleCount at the given index. + */ + public int getExampleCount(int index) { + return exampleCount_.getInt(index); + } + /** + * + * + * 
+           * Output only. Value of the specific cell in the confusion matrix.
+           * The number of values each row has (i.e. the length of the row) is equal
+           * to the length of the `annotation_spec_id` field or, if that one is not
+           * populated, length of the [display_name][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.display_name] field.
+           *
+ * + * repeated int32 example_count = 1; + * + * @param index The index to set the value at. + * @param value The exampleCount to set. + * @return This builder for chaining. + */ + public Builder setExampleCount(int index, int value) { + ensureExampleCountIsMutable(); + exampleCount_.setInt(index, value); + onChanged(); + return this; + } + /** + * + * + * 
+           * Output only. Value of the specific cell in the confusion matrix.
+           * The number of values each row has (i.e. the length of the row) is equal
+           * to the length of the `annotation_spec_id` field or, if that one is not
+           * populated, length of the [display_name][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.display_name] field.
+           *
+ * + * repeated int32 example_count = 1; + * + * @param value The exampleCount to add. + * @return This builder for chaining. + */ + public Builder addExampleCount(int value) { + ensureExampleCountIsMutable(); + exampleCount_.addInt(value); + onChanged(); + return this; + } + /** + * + * + * 
+           * Output only. Value of the specific cell in the confusion matrix.
+           * The number of values each row has (i.e. the length of the row) is equal
+           * to the length of the `annotation_spec_id` field or, if that one is not
+           * populated, length of the [display_name][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.display_name] field.
+           *
+ * + * repeated int32 example_count = 1; + * + * @param values The exampleCount to add. + * @return This builder for chaining. + */ + public Builder addAllExampleCount( + java.lang.Iterable values) { + ensureExampleCountIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, exampleCount_); + onChanged(); + return this; + } + /** + * + * + * 
+           * Output only. Value of the specific cell in the confusion matrix.
+           * The number of values each row has (i.e. the length of the row) is equal
+           * to the length of the `annotation_spec_id` field or, if that one is not
+           * populated, length of the [display_name][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.display_name] field.
+           *
+ * + * repeated int32 example_count = 1; + * + * @return This builder for chaining. + */ + public Builder clearExampleCount() { + exampleCount_ = emptyIntList(); + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row) + private static final com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = + new com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row(); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public Row parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new Row(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } + } + + public static final int ANNOTATION_SPEC_ID_FIELD_NUMBER = 1; + private com.google.protobuf.LazyStringList annotationSpecId_; + /** + * + * + * 
+       * Output only. IDs of the annotation specs used in the confusion matrix.
+       * For Tables CLASSIFICATION
+       * [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+       * only list of [annotation_spec_display_name-s][] is populated.
+       *
+ * + * repeated string annotation_spec_id = 1; + * + * @return A list containing the annotationSpecId. + */ + public com.google.protobuf.ProtocolStringList getAnnotationSpecIdList() { + return annotationSpecId_; + } + /** + * + * + * 
+       * Output only. IDs of the annotation specs used in the confusion matrix.
+       * For Tables CLASSIFICATION
+       * [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+       * only list of [annotation_spec_display_name-s][] is populated.
+       *
+ * + * repeated string annotation_spec_id = 1; + * + * @return The count of annotationSpecId. + */ + public int getAnnotationSpecIdCount() { + return annotationSpecId_.size(); + } + /** + * + * + * 
+       * Output only. IDs of the annotation specs used in the confusion matrix.
+       * For Tables CLASSIFICATION
+       * [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+       * only list of [annotation_spec_display_name-s][] is populated.
+       *
+ * + * repeated string annotation_spec_id = 1; + * + * @param index The index of the element to return. + * @return The annotationSpecId at the given index. + */ + public java.lang.String getAnnotationSpecId(int index) { + return annotationSpecId_.get(index); + } + /** + * + * + * 
+       * Output only. IDs of the annotation specs used in the confusion matrix.
+       * For Tables CLASSIFICATION
+       * [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+       * only list of [annotation_spec_display_name-s][] is populated.
+       *
+ * + * repeated string annotation_spec_id = 1; + * + * @param index The index of the value to return. + * @return The bytes of the annotationSpecId at the given index. + */ + public com.google.protobuf.ByteString getAnnotationSpecIdBytes(int index) { + return annotationSpecId_.getByteString(index); + } + + public static final int DISPLAY_NAME_FIELD_NUMBER = 3; + private com.google.protobuf.LazyStringList displayName_; + /** + * + * + * 
+       * Output only. Display name of the annotation specs used in the confusion
+       * matrix, as they were at the moment of the evaluation. For Tables
+       * CLASSIFICATION
+       * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type],
+       * distinct values of the target column at the moment of the model
+       * evaluation are populated here.
+       *
+ * + * repeated string display_name = 3; + * + * @return A list containing the displayName. + */ + public com.google.protobuf.ProtocolStringList getDisplayNameList() { + return displayName_; + } + /** + * + * + * 
+       * Output only. Display name of the annotation specs used in the confusion
+       * matrix, as they were at the moment of the evaluation. For Tables
+       * CLASSIFICATION
+       * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type],
+       * distinct values of the target column at the moment of the model
+       * evaluation are populated here.
+       *
+ * + * repeated string display_name = 3; + * + * @return The count of displayName. + */ + public int getDisplayNameCount() { + return displayName_.size(); + } + /** + * + * + * 
+       * Output only. Display name of the annotation specs used in the confusion
+       * matrix, as they were at the moment of the evaluation. For Tables
+       * CLASSIFICATION
+       * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type],
+       * distinct values of the target column at the moment of the model
+       * evaluation are populated here.
+       *
+ * + * repeated string display_name = 3; + * + * @param index The index of the element to return. + * @return The displayName at the given index. + */ + public java.lang.String getDisplayName(int index) { + return displayName_.get(index); + } + /** + * + * + * 
+       * Output only. Display name of the annotation specs used in the confusion
+       * matrix, as they were at the moment of the evaluation. For Tables
+       * CLASSIFICATION
+       * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type],
+       * distinct values of the target column at the moment of the model
+       * evaluation are populated here.
+       *
+ * + * repeated string display_name = 3; + * + * @param index The index of the value to return. + * @return The bytes of the displayName at the given index. + */ + public com.google.protobuf.ByteString getDisplayNameBytes(int index) { + return displayName_.getByteString(index); + } + + public static final int ROW_FIELD_NUMBER = 2; + private java.util.List< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row> + row_; + /** + * + * + * 
+       * Output only. Rows in the confusion matrix. The number of rows is equal to
+       * the size of `annotation_spec_id`.
+       * `row[i].example_count[j]` is the number of examples that have ground
+       * truth of the `annotation_spec_id[i]` and are predicted as
+       * `annotation_spec_id[j]` by the model being evaluated.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + public java.util.List< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row> + getRowList() { + return row_; + } + /** + * + * + * 
+       * Output only. Rows in the confusion matrix. The number of rows is equal to
+       * the size of `annotation_spec_id`.
+       * `row[i].example_count[j]` is the number of examples that have ground
+       * truth of the `annotation_spec_id[i]` and are predicted as
+       * `annotation_spec_id[j]` by the model being evaluated.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + public java.util.List< + ? extends + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.RowOrBuilder> + getRowOrBuilderList() { + return row_; + } + /** + * + * + * 
+       * Output only. Rows in the confusion matrix. The number of rows is equal to
+       * the size of `annotation_spec_id`.
+       * `row[i].example_count[j]` is the number of examples that have ground
+       * truth of the `annotation_spec_id[i]` and are predicted as
+       * `annotation_spec_id[j]` by the model being evaluated.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + public int getRowCount() { + return row_.size(); + } + /** + * + * + * 
+       * Output only. Rows in the confusion matrix. The number of rows is equal to
+       * the size of `annotation_spec_id`.
+       * `row[i].example_count[j]` is the number of examples that have ground
+       * truth of the `annotation_spec_id[i]` and are predicted as
+       * `annotation_spec_id[j]` by the model being evaluated.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row + getRow(int index) { + return row_.get(index); + } + /** + * + * + * 
+       * Output only. Rows in the confusion matrix. The number of rows is equal to
+       * the size of `annotation_spec_id`.
+       * `row[i].example_count[j]` is the number of examples that have ground
+       * truth of the `annotation_spec_id[i]` and are predicted as
+       * `annotation_spec_id[j]` by the model being evaluated.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.RowOrBuilder + getRowOrBuilder(int index) { + return row_.get(index); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + for (int i = 0; i < annotationSpecId_.size(); i++) { + com.google.protobuf.GeneratedMessageV3.writeString( + output, 1, annotationSpecId_.getRaw(i)); + } + for (int i = 0; i < row_.size(); i++) { + output.writeMessage(2, row_.get(i)); + } + for (int i = 0; i < displayName_.size(); i++) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 3, displayName_.getRaw(i)); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + { + int dataSize = 0; + for (int i = 0; i < annotationSpecId_.size(); i++) { + dataSize += computeStringSizeNoTag(annotationSpecId_.getRaw(i)); + } + size += dataSize; + size += 1 * getAnnotationSpecIdList().size(); + } + for (int i = 0; i < row_.size(); i++) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, row_.get(i)); + } + { + int dataSize = 0; + for (int i = 0; i < displayName_.size(); i++) { + dataSize += computeStringSizeNoTag(displayName_.getRaw(i)); + } + size += dataSize; + size += 1 * getDisplayNameList().size(); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj + instanceof + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + other = + (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix) + obj; + + if (!getAnnotationSpecIdList().equals(other.getAnnotationSpecIdList())) return false; + if (!getDisplayNameList().equals(other.getDisplayNameList())) return false; + if (!getRowList().equals(other.getRowList())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (getAnnotationSpecIdCount() > 0) { + hash = (37 * hash) + ANNOTATION_SPEC_ID_FIELD_NUMBER; + hash = (53 * hash) + getAnnotationSpecIdList().hashCode(); + } + if (getDisplayNameCount() > 0) { + hash = (37 * hash) + DISPLAY_NAME_FIELD_NUMBER; + hash = (53 * hash) + getDisplayNameList().hashCode(); + } + if (getRowCount() > 0) { + hash = (37 * hash) + ROW_FIELD_NUMBER; + hash = (53 * hash) + getRowList().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix + parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix + parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix + parseFrom(com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix + parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix + parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix + parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix + parseFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix + parseFrom( + java.io.InputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix + parseDelimitedFrom( + java.io.InputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix + parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix + parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType( + com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+       * Confusion matrix of the model running the classification.
+       *
+ * + * Protobuf type {@code + * google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix} + */ + public static final class Builder + extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix) + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrixOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfusionMatrix_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfusionMatrix_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.class, + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Builder.class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getRowFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + annotationSpecId_ = com.google.protobuf.LazyStringArrayList.EMPTY; + bitField0_ = (bitField0_ & ~0x00000001); + displayName_ = com.google.protobuf.LazyStringArrayList.EMPTY; + bitField0_ = (bitField0_ & ~0x00000002); + if (rowBuilder_ == null) { + row_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000004); + } else { + rowBuilder_.clear(); + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfusionMatrix_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + build() { + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + buildPartial() { + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + result = + new com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix(this); + int from_bitField0_ = bitField0_; + if (((bitField0_ & 0x00000001) != 0)) { + annotationSpecId_ = annotationSpecId_.getUnmodifiableView(); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.annotationSpecId_ = annotationSpecId_; + if (((bitField0_ & 0x00000002) != 0)) { + displayName_ = displayName_.getUnmodifiableView(); + bitField0_ = (bitField0_ & ~0x00000002); + } + result.displayName_ = displayName_; + if (rowBuilder_ == null) { + if (((bitField0_ & 0x00000004) != 0)) { + row_ = java.util.Collections.unmodifiableList(row_); + bitField0_ = (bitField0_ & ~0x00000004); + } + result.row_ = row_; + } else { + result.row_ = rowBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, + int index, + java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other + instanceof + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix) + other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + other) { + if (other + == com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.getDefaultInstance()) return this; + if (!other.annotationSpecId_.isEmpty()) { + if (annotationSpecId_.isEmpty()) { + annotationSpecId_ = other.annotationSpecId_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensureAnnotationSpecIdIsMutable(); + annotationSpecId_.addAll(other.annotationSpecId_); + } + onChanged(); + } + if (!other.displayName_.isEmpty()) { + if (displayName_.isEmpty()) { + displayName_ = other.displayName_; + bitField0_ = (bitField0_ & ~0x00000002); + } else { + ensureDisplayNameIsMutable(); + displayName_.addAll(other.displayName_); + } + onChanged(); + } + if (rowBuilder_ == null) { + if (!other.row_.isEmpty()) { + if (row_.isEmpty()) { + row_ = other.row_; + bitField0_ = (bitField0_ & ~0x00000004); + } else { + ensureRowIsMutable(); + row_.addAll(other.row_); + } + onChanged(); + } + } else { + if (!other.row_.isEmpty()) { + if (rowBuilder_.isEmpty()) { + rowBuilder_.dispose(); + rowBuilder_ = null; + row_ = other.row_; + bitField0_ = (bitField0_ & ~0x00000004); + rowBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getRowFieldBuilder() + : null; + } else { + rowBuilder_.addAllMessages(other.row_); + } + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private com.google.protobuf.LazyStringList annotationSpecId_ = + com.google.protobuf.LazyStringArrayList.EMPTY; + + private void ensureAnnotationSpecIdIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + annotationSpecId_ = new com.google.protobuf.LazyStringArrayList(annotationSpecId_); + bitField0_ |= 0x00000001; + } + } + /** + * + * + * 
+         * Output only. IDs of the annotation specs used in the confusion matrix.
+         * For Tables CLASSIFICATION
+         * [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+         * only list of [annotation_spec_display_name-s][] is populated.
+         *
+ * + * repeated string annotation_spec_id = 1; + * + * @return A list containing the annotationSpecId. + */ + public com.google.protobuf.ProtocolStringList getAnnotationSpecIdList() { + return annotationSpecId_.getUnmodifiableView(); + } + /** + * + * + * 
+         * Output only. IDs of the annotation specs used in the confusion matrix.
+         * For Tables CLASSIFICATION
+         * [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+         * only list of [annotation_spec_display_name-s][] is populated.
+         *
+ * + * repeated string annotation_spec_id = 1; + * + * @return The count of annotationSpecId. + */ + public int getAnnotationSpecIdCount() { + return annotationSpecId_.size(); + } + /** + * + * + * 
+         * Output only. IDs of the annotation specs used in the confusion matrix.
+         * For Tables CLASSIFICATION
+         * [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+         * only list of [annotation_spec_display_name-s][] is populated.
+         *
+ * + * repeated string annotation_spec_id = 1; + * + * @param index The index of the element to return. + * @return The annotationSpecId at the given index. + */ + public java.lang.String getAnnotationSpecId(int index) { + return annotationSpecId_.get(index); + } + /** + * + * + * 
+         * Output only. IDs of the annotation specs used in the confusion matrix.
+         * For Tables CLASSIFICATION
+         * [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+         * only list of [annotation_spec_display_name-s][] is populated.
+         *
+ * + * repeated string annotation_spec_id = 1; + * + * @param index The index of the value to return. + * @return The bytes of the annotationSpecId at the given index. + */ + public com.google.protobuf.ByteString getAnnotationSpecIdBytes(int index) { + return annotationSpecId_.getByteString(index); + } + /** + * + * + * 
+         * Output only. IDs of the annotation specs used in the confusion matrix.
+         * For Tables CLASSIFICATION
+         * [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+         * only list of [annotation_spec_display_name-s][] is populated.
+         *
+ * + * repeated string annotation_spec_id = 1; + * + * @param index The index to set the value at. + * @param value The annotationSpecId to set. + * @return This builder for chaining. + */ + public Builder setAnnotationSpecId(int index, java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + ensureAnnotationSpecIdIsMutable(); + annotationSpecId_.set(index, value); + onChanged(); + return this; + } + /** + * + * + * 
+         * Output only. IDs of the annotation specs used in the confusion matrix.
+         * For Tables CLASSIFICATION
+         * [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+         * only list of [annotation_spec_display_name-s][] is populated.
+         *
+ * + * repeated string annotation_spec_id = 1; + * + * @param value The annotationSpecId to add. + * @return This builder for chaining. + */ + public Builder addAnnotationSpecId(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + ensureAnnotationSpecIdIsMutable(); + annotationSpecId_.add(value); + onChanged(); + return this; + } + /** + * + * + * 
+         * Output only. IDs of the annotation specs used in the confusion matrix.
+         * For Tables CLASSIFICATION
+         * [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+         * only list of [annotation_spec_display_name-s][] is populated.
+         *
+ * + * repeated string annotation_spec_id = 1; + * + * @param values The annotationSpecId to add. + * @return This builder for chaining. + */ + public Builder addAllAnnotationSpecId(java.lang.Iterable values) { + ensureAnnotationSpecIdIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, annotationSpecId_); + onChanged(); + return this; + } + /** + * + * + * 
+         * Output only. IDs of the annotation specs used in the confusion matrix.
+         * For Tables CLASSIFICATION
+         * [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+         * only list of [annotation_spec_display_name-s][] is populated.
+         *
+ * + * repeated string annotation_spec_id = 1; + * + * @return This builder for chaining. + */ + public Builder clearAnnotationSpecId() { + annotationSpecId_ = com.google.protobuf.LazyStringArrayList.EMPTY; + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + return this; + } + /** + * + * + * 
+         * Output only. IDs of the annotation specs used in the confusion matrix.
+         * For Tables CLASSIFICATION
+         * [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+         * only list of [annotation_spec_display_name-s][] is populated.
+         *
+ * + * repeated string annotation_spec_id = 1; + * + * @param value The bytes of the annotationSpecId to add. + * @return This builder for chaining. + */ + public Builder addAnnotationSpecIdBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + ensureAnnotationSpecIdIsMutable(); + annotationSpecId_.add(value); + onChanged(); + return this; + } + + private com.google.protobuf.LazyStringList displayName_ = + com.google.protobuf.LazyStringArrayList.EMPTY; + + private void ensureDisplayNameIsMutable() { + if (!((bitField0_ & 0x00000002) != 0)) { + displayName_ = new com.google.protobuf.LazyStringArrayList(displayName_); + bitField0_ |= 0x00000002; + } + } + /** + * + * + * 
+         * Output only. Display name of the annotation specs used in the confusion
+         * matrix, as they were at the moment of the evaluation. For Tables
+         * CLASSIFICATION
+         * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type],
+         * distinct values of the target column at the moment of the model
+         * evaluation are populated here.
+         *
+ * + * repeated string display_name = 3; + * + * @return A list containing the displayName. + */ + public com.google.protobuf.ProtocolStringList getDisplayNameList() { + return displayName_.getUnmodifiableView(); + } + /** + * + * + * 
+         * Output only. Display name of the annotation specs used in the confusion
+         * matrix, as they were at the moment of the evaluation. For Tables
+         * CLASSIFICATION
+         * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type],
+         * distinct values of the target column at the moment of the model
+         * evaluation are populated here.
+         *
+ * + * repeated string display_name = 3; + * + * @return The count of displayName. + */ + public int getDisplayNameCount() { + return displayName_.size(); + } + /** + * + * + * 
+         * Output only. Display name of the annotation specs used in the confusion
+         * matrix, as they were at the moment of the evaluation. For Tables
+         * CLASSIFICATION
+         * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type],
+         * distinct values of the target column at the moment of the model
+         * evaluation are populated here.
+         *
+ * + * repeated string display_name = 3; + * + * @param index The index of the element to return. + * @return The displayName at the given index. + */ + public java.lang.String getDisplayName(int index) { + return displayName_.get(index); + } + /** + * + * + * 
+         * Output only. Display name of the annotation specs used in the confusion
+         * matrix, as they were at the moment of the evaluation. For Tables
+         * CLASSIFICATION
+         * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type],
+         * distinct values of the target column at the moment of the model
+         * evaluation are populated here.
+         *
+ * + * repeated string display_name = 3; + * + * @param index The index of the value to return. + * @return The bytes of the displayName at the given index. + */ + public com.google.protobuf.ByteString getDisplayNameBytes(int index) { + return displayName_.getByteString(index); + } + /** + * + * + * 
+         * Output only. Display name of the annotation specs used in the confusion
+         * matrix, as they were at the moment of the evaluation. For Tables
+         * CLASSIFICATION
+         * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type],
+         * distinct values of the target column at the moment of the model
+         * evaluation are populated here.
+         *
+ * + * repeated string display_name = 3; + * + * @param index The index to set the value at. + * @param value The displayName to set. + * @return This builder for chaining. + */ + public Builder setDisplayName(int index, java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + ensureDisplayNameIsMutable(); + displayName_.set(index, value); + onChanged(); + return this; + } + /** + * + * + * 
+         * Output only. Display name of the annotation specs used in the confusion
+         * matrix, as they were at the moment of the evaluation. For Tables
+         * CLASSIFICATION
+         * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type],
+         * distinct values of the target column at the moment of the model
+         * evaluation are populated here.
+         *
+ * + * repeated string display_name = 3; + * + * @param value The displayName to add. + * @return This builder for chaining. + */ + public Builder addDisplayName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + ensureDisplayNameIsMutable(); + displayName_.add(value); + onChanged(); + return this; + } + /** + * + * + * 
+         * Output only. Display name of the annotation specs used in the confusion
+         * matrix, as they were at the moment of the evaluation. For Tables
+         * CLASSIFICATION
+         * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type],
+         * distinct values of the target column at the moment of the model
+         * evaluation are populated here.
+         *
+ * + * repeated string display_name = 3; + * + * @param values The displayName to add. + * @return This builder for chaining. + */ + public Builder addAllDisplayName(java.lang.Iterable values) { + ensureDisplayNameIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, displayName_); + onChanged(); + return this; + } + /** + * + * + * 
+         * Output only. Display name of the annotation specs used in the confusion
+         * matrix, as they were at the moment of the evaluation. For Tables
+         * CLASSIFICATION
+         * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type],
+         * distinct values of the target column at the moment of the model
+         * evaluation are populated here.
+         *
+ * + * repeated string display_name = 3; + * + * @return This builder for chaining. + */ + public Builder clearDisplayName() { + displayName_ = com.google.protobuf.LazyStringArrayList.EMPTY; + bitField0_ = (bitField0_ & ~0x00000002); + onChanged(); + return this; + } + /** + * + * + * 
+         * Output only. Display name of the annotation specs used in the confusion
+         * matrix, as they were at the moment of the evaluation. For Tables
+         * CLASSIFICATION
+         * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type],
+         * distinct values of the target column at the moment of the model
+         * evaluation are populated here.
+         *
+ * + * repeated string display_name = 3; + * + * @param value The bytes of the displayName to add. + * @return This builder for chaining. + */ + public Builder addDisplayNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + ensureDisplayNameIsMutable(); + displayName_.add(value); + onChanged(); + return this; + } + + private java.util.List< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row> + row_ = java.util.Collections.emptyList(); + + private void ensureRowIsMutable() { + if (!((bitField0_ & 0x00000004) != 0)) { + row_ = + new java.util.ArrayList< + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row>(row_); + bitField0_ |= 0x00000004; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row.Builder, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.RowOrBuilder> + rowBuilder_; + + /** + * + * + * 
+         * Output only. Rows in the confusion matrix. The number of rows is equal to
+         * the size of `annotation_spec_id`.
+         * `row[i].example_count[j]` is the number of examples that have ground
+         * truth of the `annotation_spec_id[i]` and are predicted as
+         * `annotation_spec_id[j]` by the model being evaluated.
+         *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + public java.util.List< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row> + getRowList() { + if (rowBuilder_ == null) { + return java.util.Collections.unmodifiableList(row_); + } else { + return rowBuilder_.getMessageList(); + } + } + /** + * + * + * 
+         * Output only. Rows in the confusion matrix. The number of rows is equal to
+         * the size of `annotation_spec_id`.
+         * `row[i].example_count[j]` is the number of examples that have ground
+         * truth of the `annotation_spec_id[i]` and are predicted as
+         * `annotation_spec_id[j]` by the model being evaluated.
+         *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + public int getRowCount() { + if (rowBuilder_ == null) { + return row_.size(); + } else { + return rowBuilder_.getCount(); + } + } + /** + * + * + * 
+         * Output only. Rows in the confusion matrix. The number of rows is equal to
+         * the size of `annotation_spec_id`.
+         * `row[i].example_count[j]` is the number of examples that have ground
+         * truth of the `annotation_spec_id[i]` and are predicted as
+         * `annotation_spec_id[j]` by the model being evaluated.
+         *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row + getRow(int index) { + if (rowBuilder_ == null) { + return row_.get(index); + } else { + return rowBuilder_.getMessage(index); + } + } + /** + * + * + * 
+         * Output only. Rows in the confusion matrix. The number of rows is equal to
+         * the size of `annotation_spec_id`.
+         * `row[i].example_count[j]` is the number of examples that have ground
+         * truth of the `annotation_spec_id[i]` and are predicted as
+         * `annotation_spec_id[j]` by the model being evaluated.
+         *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + public Builder setRow( + int index, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row + value) { + if (rowBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureRowIsMutable(); + row_.set(index, value); + onChanged(); + } else { + rowBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+         * Output only. Rows in the confusion matrix. The number of rows is equal to
+         * the size of `annotation_spec_id`.
+         * `row[i].example_count[j]` is the number of examples that have ground
+         * truth of the `annotation_spec_id[i]` and are predicted as
+         * `annotation_spec_id[j]` by the model being evaluated.
+         *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + public Builder setRow( + int index, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row.Builder + builderForValue) { + if (rowBuilder_ == null) { + ensureRowIsMutable(); + row_.set(index, builderForValue.build()); + onChanged(); + } else { + rowBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+         * Output only. Rows in the confusion matrix. The number of rows is equal to
+         * the size of `annotation_spec_id`.
+         * `row[i].example_count[j]` is the number of examples that have ground
+         * truth of the `annotation_spec_id[i]` and are predicted as
+         * `annotation_spec_id[j]` by the model being evaluated.
+         *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + public Builder addRow( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row + value) { + if (rowBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureRowIsMutable(); + row_.add(value); + onChanged(); + } else { + rowBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+         * Output only. Rows in the confusion matrix. The number of rows is equal to
+         * the size of `annotation_spec_id`.
+         * `row[i].example_count[j]` is the number of examples that have ground
+         * truth of the `annotation_spec_id[i]` and are predicted as
+         * `annotation_spec_id[j]` by the model being evaluated.
+         *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + public Builder addRow( + int index, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row + value) { + if (rowBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureRowIsMutable(); + row_.add(index, value); + onChanged(); + } else { + rowBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+         * Output only. Rows in the confusion matrix. The number of rows is equal to
+         * the size of `annotation_spec_id`.
+         * `row[i].example_count[j]` is the number of examples that have ground
+         * truth of the `annotation_spec_id[i]` and are predicted as
+         * `annotation_spec_id[j]` by the model being evaluated.
+         *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + public Builder addRow( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row.Builder + builderForValue) { + if (rowBuilder_ == null) { + ensureRowIsMutable(); + row_.add(builderForValue.build()); + onChanged(); + } else { + rowBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+         * Output only. Rows in the confusion matrix. The number of rows is equal to
+         * the size of `annotation_spec_id`.
+         * `row[i].example_count[j]` is the number of examples that have ground
+         * truth of the `annotation_spec_id[i]` and are predicted as
+         * `annotation_spec_id[j]` by the model being evaluated.
+         *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + public Builder addRow( + int index, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row.Builder + builderForValue) { + if (rowBuilder_ == null) { + ensureRowIsMutable(); + row_.add(index, builderForValue.build()); + onChanged(); + } else { + rowBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+         * Output only. Rows in the confusion matrix. The number of rows is equal to
+         * the size of `annotation_spec_id`.
+         * `row[i].example_count[j]` is the number of examples that have ground
+         * truth of the `annotation_spec_id[i]` and are predicted as
+         * `annotation_spec_id[j]` by the model being evaluated.
+         *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + public Builder addAllRow( + java.lang.Iterable< + ? extends + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row> + values) { + if (rowBuilder_ == null) { + ensureRowIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, row_); + onChanged(); + } else { + rowBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+         * Output only. Rows in the confusion matrix. The number of rows is equal to
+         * the size of `annotation_spec_id`.
+         * `row[i].example_count[j]` is the number of examples that have ground
+         * truth of the `annotation_spec_id[i]` and are predicted as
+         * `annotation_spec_id[j]` by the model being evaluated.
+         *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + public Builder clearRow() { + if (rowBuilder_ == null) { + row_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000004); + onChanged(); + } else { + rowBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+         * Output only. Rows in the confusion matrix. The number of rows is equal to
+         * the size of `annotation_spec_id`.
+         * `row[i].example_count[j]` is the number of examples that have ground
+         * truth of the `annotation_spec_id[i]` and are predicted as
+         * `annotation_spec_id[j]` by the model being evaluated.
+         *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + public Builder removeRow(int index) { + if (rowBuilder_ == null) { + ensureRowIsMutable(); + row_.remove(index); + onChanged(); + } else { + rowBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+         * Output only. Rows in the confusion matrix. The number of rows is equal to
+         * the size of `annotation_spec_id`.
+         * `row[i].example_count[j]` is the number of examples that have ground
+         * truth of the `annotation_spec_id[i]` and are predicted as
+         * `annotation_spec_id[j]` by the model being evaluated.
+         *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row.Builder + getRowBuilder(int index) { + return getRowFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+         * Output only. Rows in the confusion matrix. The number of rows is equal to
+         * the size of `annotation_spec_id`.
+         * `row[i].example_count[j]` is the number of examples that have ground
+         * truth of the `annotation_spec_id[i]` and are predicted as
+         * `annotation_spec_id[j]` by the model being evaluated.
+         *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.RowOrBuilder + getRowOrBuilder(int index) { + if (rowBuilder_ == null) { + return row_.get(index); + } else { + return rowBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+         * Output only. Rows in the confusion matrix. The number of rows is equal to
+         * the size of `annotation_spec_id`.
+         * `row[i].example_count[j]` is the number of examples that have ground
+         * truth of the `annotation_spec_id[i]` and are predicted as
+         * `annotation_spec_id[j]` by the model being evaluated.
+         *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + public java.util.List< + ? extends + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.RowOrBuilder> + getRowOrBuilderList() { + if (rowBuilder_ != null) { + return rowBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(row_); + } + } + /** + * + * + * 
+         * Output only. Rows in the confusion matrix. The number of rows is equal to
+         * the size of `annotation_spec_id`.
+         * `row[i].example_count[j]` is the number of examples that have ground
+         * truth of the `annotation_spec_id[i]` and are predicted as
+         * `annotation_spec_id[j]` by the model being evaluated.
+         *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row.Builder + addRowBuilder() { + return getRowFieldBuilder() + .addBuilder( + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row.getDefaultInstance()); + } + /** + * + * + * 
+         * Output only. Rows in the confusion matrix. The number of rows is equal to
+         * the size of `annotation_spec_id`.
+         * `row[i].example_count[j]` is the number of examples that have ground
+         * truth of the `annotation_spec_id[i]` and are predicted as
+         * `annotation_spec_id[j]` by the model being evaluated.
+         *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row.Builder + addRowBuilder(int index) { + return getRowFieldBuilder() + .addBuilder( + index, + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row.getDefaultInstance()); + } + /** + * + * + * 
+         * Output only. Rows in the confusion matrix. The number of rows is equal to
+         * the size of `annotation_spec_id`.
+         * `row[i].example_count[j]` is the number of examples that have ground
+         * truth of the `annotation_spec_id[i]` and are predicted as
+         * `annotation_spec_id[j]` by the model being evaluated.
+         *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2; + * + */ + public java.util.List< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row.Builder> + getRowBuilderList() { + return getRowFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Row.Builder, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.RowOrBuilder> + getRowFieldBuilder() { + if (rowBuilder_ == null) { + rowBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row, + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder, + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.RowOrBuilder>( + row_, ((bitField0_ & 0x00000004) != 0), getParentForChildren(), isClean()); + row_ = null; + } + return rowBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix) + private static final com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = + new com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix(); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ConfusionMatrix parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ConfusionMatrix(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } + } + + public static final int AU_PRC_FIELD_NUMBER = 1; + private float auPrc_; + /** + * + * + * 
+     * Output only. The Area Under Precision-Recall Curve metric. Micro-averaged
+     * for the overall evaluation.
+     *
+ * + * float au_prc = 1; + * + * @return The auPrc. + */ + public float getAuPrc() { + return auPrc_; + } + + public static final int BASE_AU_PRC_FIELD_NUMBER = 2; + private float baseAuPrc_; + /** + * + * + * 
+     * Output only. The Area Under Precision-Recall Curve metric based on priors.
+     * Micro-averaged for the overall evaluation.
+     * Deprecated.
+     *
+ * + * float base_au_prc = 2 [deprecated = true]; + * + * @return The baseAuPrc. + */ + @java.lang.Deprecated + public float getBaseAuPrc() { + return baseAuPrc_; + } + + public static final int AU_ROC_FIELD_NUMBER = 6; + private float auRoc_; + /** + * + * + * 
+     * Output only. The Area Under Receiver Operating Characteristic curve metric.
+     * Micro-averaged for the overall evaluation.
+     *
+ * + * float au_roc = 6; + * + * @return The auRoc. + */ + public float getAuRoc() { + return auRoc_; + } + + public static final int LOG_LOSS_FIELD_NUMBER = 7; + private float logLoss_; + /** + * + * + * 
+     * Output only. The Log Loss metric.
+     *
+ * + * float log_loss = 7; + * + * @return The logLoss. + */ + public float getLogLoss() { + return logLoss_; + } + + public static final int CONFIDENCE_METRICS_ENTRY_FIELD_NUMBER = 3; + private java.util.List< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry> + confidenceMetricsEntry_; + /** + * + * + * 
+     * Output only. Metrics for each confidence_threshold in
+     * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+     * position_threshold = INT32_MAX_VALUE.
+     * ROC and precision-recall curves, and other aggregated metrics are derived
+     * from them. The confidence metrics entries may also be supplied for
+     * additional values of position_threshold, but from these no aggregated
+     * metrics are computed.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + public java.util.List< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry> + getConfidenceMetricsEntryList() { + return confidenceMetricsEntry_; + } + /** + * + * + * 
+     * Output only. Metrics for each confidence_threshold in
+     * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+     * position_threshold = INT32_MAX_VALUE.
+     * ROC and precision-recall curves, and other aggregated metrics are derived
+     * from them. The confidence metrics entries may also be supplied for
+     * additional values of position_threshold, but from these no aggregated
+     * metrics are computed.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + public java.util.List< + ? extends + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntryOrBuilder> + getConfidenceMetricsEntryOrBuilderList() { + return confidenceMetricsEntry_; + } + /** + * + * + * 
+     * Output only. Metrics for each confidence_threshold in
+     * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+     * position_threshold = INT32_MAX_VALUE.
+     * ROC and precision-recall curves, and other aggregated metrics are derived
+     * from them. The confidence metrics entries may also be supplied for
+     * additional values of position_threshold, but from these no aggregated
+     * metrics are computed.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + public int getConfidenceMetricsEntryCount() { + return confidenceMetricsEntry_.size(); + } + /** + * + * + * 
+     * Output only. Metrics for each confidence_threshold in
+     * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+     * position_threshold = INT32_MAX_VALUE.
+     * ROC and precision-recall curves, and other aggregated metrics are derived
+     * from them. The confidence metrics entries may also be supplied for
+     * additional values of position_threshold, but from these no aggregated
+     * metrics are computed.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry + getConfidenceMetricsEntry(int index) { + return confidenceMetricsEntry_.get(index); + } + /** + * + * + * 
+     * Output only. Metrics for each confidence_threshold in
+     * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+     * position_threshold = INT32_MAX_VALUE.
+     * ROC and precision-recall curves, and other aggregated metrics are derived
+     * from them. The confidence metrics entries may also be supplied for
+     * additional values of position_threshold, but from these no aggregated
+     * metrics are computed.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntryOrBuilder + getConfidenceMetricsEntryOrBuilder(int index) { + return confidenceMetricsEntry_.get(index); + } + + public static final int CONFUSION_MATRIX_FIELD_NUMBER = 4; + private com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + confusionMatrix_; + /** + * + * + * 
+     * Output only. Confusion matrix of the evaluation.
+     * Only set for MULTICLASS classification problems where number
+     * of labels is no more than 10.
+     * Only set for model level evaluation, not for evaluation per label.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4; + * + * + * @return Whether the confusionMatrix field is set. + */ + public boolean hasConfusionMatrix() { + return confusionMatrix_ != null; + } + /** + * + * + * 
+     * Output only. Confusion matrix of the evaluation.
+     * Only set for MULTICLASS classification problems where number
+     * of labels is no more than 10.
+     * Only set for model level evaluation, not for evaluation per label.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4; + * + * + * @return The confusionMatrix. + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + getConfusionMatrix() { + return confusionMatrix_ == null + ? com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.getDefaultInstance() + : confusionMatrix_; + } + /** + * + * + * 
+     * Output only. Confusion matrix of the evaluation.
+     * Only set for MULTICLASS classification problems where number
+     * of labels is no more than 10.
+     * Only set for model level evaluation, not for evaluation per label.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrixOrBuilder + getConfusionMatrixOrBuilder() { + return getConfusionMatrix(); + } + + public static final int ANNOTATION_SPEC_ID_FIELD_NUMBER = 5; + private com.google.protobuf.LazyStringList annotationSpecId_; + /** + * + * + * 
+     * Output only. The annotation spec ids used for this evaluation.
+     *
+ * + * repeated string annotation_spec_id = 5; + * + * @return A list containing the annotationSpecId. + */ + public com.google.protobuf.ProtocolStringList getAnnotationSpecIdList() { + return annotationSpecId_; + } + /** + * + * + * 
+     * Output only. The annotation spec ids used for this evaluation.
+     *
+ * + * repeated string annotation_spec_id = 5; + * + * @return The count of annotationSpecId. + */ + public int getAnnotationSpecIdCount() { + return annotationSpecId_.size(); + } + /** + * + * + * 
+     * Output only. The annotation spec ids used for this evaluation.
+     *
+ * + * repeated string annotation_spec_id = 5; + * + * @param index The index of the element to return. + * @return The annotationSpecId at the given index. + */ + public java.lang.String getAnnotationSpecId(int index) { + return annotationSpecId_.get(index); + } + /** + * + * + * 
+     * Output only. The annotation spec ids used for this evaluation.
+     *
+ * + * repeated string annotation_spec_id = 5; + * + * @param index The index of the value to return. + * @return The bytes of the annotationSpecId at the given index. + */ + public com.google.protobuf.ByteString getAnnotationSpecIdBytes(int index) { + return annotationSpecId_.getByteString(index); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (auPrc_ != 0F) { + output.writeFloat(1, auPrc_); + } + if (baseAuPrc_ != 0F) { + output.writeFloat(2, baseAuPrc_); + } + for (int i = 0; i < confidenceMetricsEntry_.size(); i++) { + output.writeMessage(3, confidenceMetricsEntry_.get(i)); + } + if (confusionMatrix_ != null) { + output.writeMessage(4, getConfusionMatrix()); + } + for (int i = 0; i < annotationSpecId_.size(); i++) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 5, annotationSpecId_.getRaw(i)); + } + if (auRoc_ != 0F) { + output.writeFloat(6, auRoc_); + } + if (logLoss_ != 0F) { + output.writeFloat(7, logLoss_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (auPrc_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, auPrc_); + } + if (baseAuPrc_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(2, baseAuPrc_); + } + for (int i = 0; i < confidenceMetricsEntry_.size(); i++) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 3, confidenceMetricsEntry_.get(i)); + } + if (confusionMatrix_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, getConfusionMatrix()); + } + { + int dataSize = 0; + for (int i = 0; i < annotationSpecId_.size(); i++) { + dataSize += computeStringSizeNoTag(annotationSpecId_.getRaw(i)); + } + size += dataSize; + size += 1 * getAnnotationSpecIdList().size(); + } + if (auRoc_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(6, auRoc_); + } + if (logLoss_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(7, logLoss_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj + instanceof + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics other = + (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics) obj; + + if (java.lang.Float.floatToIntBits(getAuPrc()) + != java.lang.Float.floatToIntBits(other.getAuPrc())) return false; + if (java.lang.Float.floatToIntBits(getBaseAuPrc()) + != java.lang.Float.floatToIntBits(other.getBaseAuPrc())) return false; + if (java.lang.Float.floatToIntBits(getAuRoc()) + != java.lang.Float.floatToIntBits(other.getAuRoc())) return false; + if (java.lang.Float.floatToIntBits(getLogLoss()) + != java.lang.Float.floatToIntBits(other.getLogLoss())) return false; + if (!getConfidenceMetricsEntryList().equals(other.getConfidenceMetricsEntryList())) + return false; + if (hasConfusionMatrix() != other.hasConfusionMatrix()) return false; + if (hasConfusionMatrix()) { + if (!getConfusionMatrix().equals(other.getConfusionMatrix())) return false; + } + if (!getAnnotationSpecIdList().equals(other.getAnnotationSpecIdList())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + AU_PRC_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getAuPrc()); + hash = (37 * hash) + BASE_AU_PRC_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getBaseAuPrc()); + hash = (37 * hash) + AU_ROC_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getAuRoc()); + hash = (37 * hash) + LOG_LOSS_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getLogLoss()); + if (getConfidenceMetricsEntryCount() > 0) { + hash = (37 * hash) + CONFIDENCE_METRICS_ENTRY_FIELD_NUMBER; + hash = (53 * hash) + getConfidenceMetricsEntryList().hashCode(); + } + if (hasConfusionMatrix()) { + hash = (37 * hash) + CONFUSION_MATRIX_FIELD_NUMBER; + hash = (53 * hash) + getConfusionMatrix().hashCode(); + } + if (getAnnotationSpecIdCount() > 0) { + hash = (37 * hash) + ANNOTATION_SPEC_ID_FIELD_NUMBER; + hash = (53 * hash) + getAnnotationSpecIdList().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics + parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics + parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics + parseFrom(com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics + parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics + parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics + parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics + parseFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics + parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics + parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics + parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType( + com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+     * Model evaluation metrics for classification problems.
+     * Note: For Video Classification this metrics only describe quality of the
+     * Video Classification predictions of "segment_classification" type.
+     *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ClassificationEvaluationMetrics} + */ + public static final class Builder + extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics) + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetricsOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .class, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .Builder.class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getConfidenceMetricsEntryFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + auPrc_ = 0F; + + baseAuPrc_ = 0F; + + auRoc_ = 0F; + + logLoss_ = 0F; + + if (confidenceMetricsEntryBuilder_ == null) { + confidenceMetricsEntry_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + } else { + confidenceMetricsEntryBuilder_.clear(); + } + if (confusionMatrixBuilder_ == null) { + confusionMatrix_ = null; + } else { + confusionMatrix_ = null; + confusionMatrixBuilder_ = null; + } + annotationSpecId_ = com.google.protobuf.LazyStringArrayList.EMPTY; + bitField0_ = (bitField0_ & ~0x00000002); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.ClassificationProto + .internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + build() { + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics result = + buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + buildPartial() { + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics result = + new com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics( + this); + int from_bitField0_ = bitField0_; + result.auPrc_ = auPrc_; + result.baseAuPrc_ = baseAuPrc_; + result.auRoc_ = auRoc_; + result.logLoss_ = logLoss_; + if (confidenceMetricsEntryBuilder_ == null) { + if (((bitField0_ & 0x00000001) != 0)) { + confidenceMetricsEntry_ = + java.util.Collections.unmodifiableList(confidenceMetricsEntry_); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.confidenceMetricsEntry_ = confidenceMetricsEntry_; + } else { + result.confidenceMetricsEntry_ = confidenceMetricsEntryBuilder_.build(); + } + if (confusionMatrixBuilder_ == null) { + result.confusionMatrix_ = confusionMatrix_; + } else { + result.confusionMatrix_ = confusionMatrixBuilder_.build(); + } + if (((bitField0_ & 0x00000002) != 0)) { + annotationSpecId_ = annotationSpecId_.getUnmodifiableView(); + bitField0_ = (bitField0_ & ~0x00000002); + } + result.annotationSpecId_ = annotationSpecId_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, + int index, + java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other + instanceof + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics) + other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + other) { + if (other + == com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .getDefaultInstance()) return this; + if (other.getAuPrc() != 0F) { + setAuPrc(other.getAuPrc()); + } + if (other.getBaseAuPrc() != 0F) { + setBaseAuPrc(other.getBaseAuPrc()); + } + if (other.getAuRoc() != 0F) { + setAuRoc(other.getAuRoc()); + } + if (other.getLogLoss() != 0F) { + setLogLoss(other.getLogLoss()); + } + if (confidenceMetricsEntryBuilder_ == null) { + if (!other.confidenceMetricsEntry_.isEmpty()) { + if (confidenceMetricsEntry_.isEmpty()) { + confidenceMetricsEntry_ = other.confidenceMetricsEntry_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensureConfidenceMetricsEntryIsMutable(); + confidenceMetricsEntry_.addAll(other.confidenceMetricsEntry_); + } + onChanged(); + } + } else { + if (!other.confidenceMetricsEntry_.isEmpty()) { + if (confidenceMetricsEntryBuilder_.isEmpty()) { + confidenceMetricsEntryBuilder_.dispose(); + confidenceMetricsEntryBuilder_ = null; + confidenceMetricsEntry_ = other.confidenceMetricsEntry_; + bitField0_ = (bitField0_ & ~0x00000001); + confidenceMetricsEntryBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getConfidenceMetricsEntryFieldBuilder() + : null; + } else { + confidenceMetricsEntryBuilder_.addAllMessages(other.confidenceMetricsEntry_); + } + } + } + if (other.hasConfusionMatrix()) { + mergeConfusionMatrix(other.getConfusionMatrix()); + } + if (!other.annotationSpecId_.isEmpty()) { + if (annotationSpecId_.isEmpty()) { + annotationSpecId_ = other.annotationSpecId_; + bitField0_ = (bitField0_ & ~0x00000002); + } else { + ensureAnnotationSpecIdIsMutable(); + annotationSpecId_.addAll(other.annotationSpecId_); + } + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private float auPrc_; + /** + * + * + * 
+       * Output only. The Area Under Precision-Recall Curve metric. Micro-averaged
+       * for the overall evaluation.
+       *
+ * + * float au_prc = 1; + * + * @return The auPrc. + */ + public float getAuPrc() { + return auPrc_; + } + /** + * + * + * 
+       * Output only. The Area Under Precision-Recall Curve metric. Micro-averaged
+       * for the overall evaluation.
+       *
+ * + * float au_prc = 1; + * + * @param value The auPrc to set. + * @return This builder for chaining. + */ + public Builder setAuPrc(float value) { + + auPrc_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. The Area Under Precision-Recall Curve metric. Micro-averaged
+       * for the overall evaluation.
+       *
+ * + * float au_prc = 1; + * + * @return This builder for chaining. + */ + public Builder clearAuPrc() { + + auPrc_ = 0F; + onChanged(); + return this; + } + + private float baseAuPrc_; + /** + * + * + * 
+       * Output only. The Area Under Precision-Recall Curve metric based on priors.
+       * Micro-averaged for the overall evaluation.
+       * Deprecated.
+       *
+ * + * float base_au_prc = 2 [deprecated = true]; + * + * @return The baseAuPrc. + */ + @java.lang.Deprecated + public float getBaseAuPrc() { + return baseAuPrc_; + } + /** + * + * + * 
+       * Output only. The Area Under Precision-Recall Curve metric based on priors.
+       * Micro-averaged for the overall evaluation.
+       * Deprecated.
+       *
+ * + * float base_au_prc = 2 [deprecated = true]; + * + * @param value The baseAuPrc to set. + * @return This builder for chaining. + */ + @java.lang.Deprecated + public Builder setBaseAuPrc(float value) { + + baseAuPrc_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. The Area Under Precision-Recall Curve metric based on priors.
+       * Micro-averaged for the overall evaluation.
+       * Deprecated.
+       *
+ * + * float base_au_prc = 2 [deprecated = true]; + * + * @return This builder for chaining. + */ + @java.lang.Deprecated + public Builder clearBaseAuPrc() { + + baseAuPrc_ = 0F; + onChanged(); + return this; + } + + private float auRoc_; + /** + * + * + * 
+       * Output only. The Area Under Receiver Operating Characteristic curve metric.
+       * Micro-averaged for the overall evaluation.
+       *
+ * + * float au_roc = 6; + * + * @return The auRoc. + */ + public float getAuRoc() { + return auRoc_; + } + /** + * + * + * 
+       * Output only. The Area Under Receiver Operating Characteristic curve metric.
+       * Micro-averaged for the overall evaluation.
+       *
+ * + * float au_roc = 6; + * + * @param value The auRoc to set. + * @return This builder for chaining. + */ + public Builder setAuRoc(float value) { + + auRoc_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. The Area Under Receiver Operating Characteristic curve metric.
+       * Micro-averaged for the overall evaluation.
+       *
+ * + * float au_roc = 6; + * + * @return This builder for chaining. + */ + public Builder clearAuRoc() { + + auRoc_ = 0F; + onChanged(); + return this; + } + + private float logLoss_; + /** + * + * + * 
+       * Output only. The Log Loss metric.
+       *
+ * + * float log_loss = 7; + * + * @return The logLoss. + */ + public float getLogLoss() { + return logLoss_; + } + /** + * + * + * 
+       * Output only. The Log Loss metric.
+       *
+ * + * float log_loss = 7; + * + * @param value The logLoss to set. + * @return This builder for chaining. + */ + public Builder setLogLoss(float value) { + + logLoss_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. The Log Loss metric.
+       *
+ * + * float log_loss = 7; + * + * @return This builder for chaining. + */ + public Builder clearLogLoss() { + + logLoss_ = 0F; + onChanged(); + return this; + } + + private java.util.List< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry> + confidenceMetricsEntry_ = java.util.Collections.emptyList(); + + private void ensureConfidenceMetricsEntryIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + confidenceMetricsEntry_ = + new java.util.ArrayList< + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfidenceMetricsEntry>( + confidenceMetricsEntry_); + bitField0_ |= 0x00000001; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry.Builder, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntryOrBuilder> + confidenceMetricsEntryBuilder_; + + /** + * + * + * 
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * ROC and precision-recall curves, and other aggregated metrics are derived
+       * from them. The confidence metrics entries may also be supplied for
+       * additional values of position_threshold, but from these no aggregated
+       * metrics are computed.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + public java.util.List< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry> + getConfidenceMetricsEntryList() { + if (confidenceMetricsEntryBuilder_ == null) { + return java.util.Collections.unmodifiableList(confidenceMetricsEntry_); + } else { + return confidenceMetricsEntryBuilder_.getMessageList(); + } + } + /** + * + * + * 
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * ROC and precision-recall curves, and other aggregated metrics are derived
+       * from them. The confidence metrics entries may also be supplied for
+       * additional values of position_threshold, but from these no aggregated
+       * metrics are computed.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + public int getConfidenceMetricsEntryCount() { + if (confidenceMetricsEntryBuilder_ == null) { + return confidenceMetricsEntry_.size(); + } else { + return confidenceMetricsEntryBuilder_.getCount(); + } + } + /** + * + * + * 
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * ROC and precision-recall curves, and other aggregated metrics are derived
+       * from them. The confidence metrics entries may also be supplied for
+       * additional values of position_threshold, but from these no aggregated
+       * metrics are computed.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry + getConfidenceMetricsEntry(int index) { + if (confidenceMetricsEntryBuilder_ == null) { + return confidenceMetricsEntry_.get(index); + } else { + return confidenceMetricsEntryBuilder_.getMessage(index); + } + } + /** + * + * + * 
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * ROC and precision-recall curves, and other aggregated metrics are derived
+       * from them. The confidence metrics entries may also be supplied for
+       * additional values of position_threshold, but from these no aggregated
+       * metrics are computed.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + public Builder setConfidenceMetricsEntry( + int index, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry + value) { + if (confidenceMetricsEntryBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureConfidenceMetricsEntryIsMutable(); + confidenceMetricsEntry_.set(index, value); + onChanged(); + } else { + confidenceMetricsEntryBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * ROC and precision-recall curves, and other aggregated metrics are derived
+       * from them. The confidence metrics entries may also be supplied for
+       * additional values of position_threshold, but from these no aggregated
+       * metrics are computed.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + public Builder setConfidenceMetricsEntry( + int index, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry.Builder + builderForValue) { + if (confidenceMetricsEntryBuilder_ == null) { + ensureConfidenceMetricsEntryIsMutable(); + confidenceMetricsEntry_.set(index, builderForValue.build()); + onChanged(); + } else { + confidenceMetricsEntryBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * ROC and precision-recall curves, and other aggregated metrics are derived
+       * from them. The confidence metrics entries may also be supplied for
+       * additional values of position_threshold, but from these no aggregated
+       * metrics are computed.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + public Builder addConfidenceMetricsEntry( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry + value) { + if (confidenceMetricsEntryBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureConfidenceMetricsEntryIsMutable(); + confidenceMetricsEntry_.add(value); + onChanged(); + } else { + confidenceMetricsEntryBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * ROC and precision-recall curves, and other aggregated metrics are derived
+       * from them. The confidence metrics entries may also be supplied for
+       * additional values of position_threshold, but from these no aggregated
+       * metrics are computed.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + public Builder addConfidenceMetricsEntry( + int index, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry + value) { + if (confidenceMetricsEntryBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureConfidenceMetricsEntryIsMutable(); + confidenceMetricsEntry_.add(index, value); + onChanged(); + } else { + confidenceMetricsEntryBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * ROC and precision-recall curves, and other aggregated metrics are derived
+       * from them. The confidence metrics entries may also be supplied for
+       * additional values of position_threshold, but from these no aggregated
+       * metrics are computed.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + public Builder addConfidenceMetricsEntry( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry.Builder + builderForValue) { + if (confidenceMetricsEntryBuilder_ == null) { + ensureConfidenceMetricsEntryIsMutable(); + confidenceMetricsEntry_.add(builderForValue.build()); + onChanged(); + } else { + confidenceMetricsEntryBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * ROC and precision-recall curves, and other aggregated metrics are derived
+       * from them. The confidence metrics entries may also be supplied for
+       * additional values of position_threshold, but from these no aggregated
+       * metrics are computed.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + public Builder addConfidenceMetricsEntry( + int index, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry.Builder + builderForValue) { + if (confidenceMetricsEntryBuilder_ == null) { + ensureConfidenceMetricsEntryIsMutable(); + confidenceMetricsEntry_.add(index, builderForValue.build()); + onChanged(); + } else { + confidenceMetricsEntryBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * ROC and precision-recall curves, and other aggregated metrics are derived
+       * from them. The confidence metrics entries may also be supplied for
+       * additional values of position_threshold, but from these no aggregated
+       * metrics are computed.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + public Builder addAllConfidenceMetricsEntry( + java.lang.Iterable< + ? extends + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfidenceMetricsEntry> + values) { + if (confidenceMetricsEntryBuilder_ == null) { + ensureConfidenceMetricsEntryIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, confidenceMetricsEntry_); + onChanged(); + } else { + confidenceMetricsEntryBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * ROC and precision-recall curves, and other aggregated metrics are derived
+       * from them. The confidence metrics entries may also be supplied for
+       * additional values of position_threshold, but from these no aggregated
+       * metrics are computed.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + public Builder clearConfidenceMetricsEntry() { + if (confidenceMetricsEntryBuilder_ == null) { + confidenceMetricsEntry_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + } else { + confidenceMetricsEntryBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * ROC and precision-recall curves, and other aggregated metrics are derived
+       * from them. The confidence metrics entries may also be supplied for
+       * additional values of position_threshold, but from these no aggregated
+       * metrics are computed.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + public Builder removeConfidenceMetricsEntry(int index) { + if (confidenceMetricsEntryBuilder_ == null) { + ensureConfidenceMetricsEntryIsMutable(); + confidenceMetricsEntry_.remove(index); + onChanged(); + } else { + confidenceMetricsEntryBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * ROC and precision-recall curves, and other aggregated metrics are derived
+       * from them. The confidence metrics entries may also be supplied for
+       * additional values of position_threshold, but from these no aggregated
+       * metrics are computed.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry.Builder + getConfidenceMetricsEntryBuilder(int index) { + return getConfidenceMetricsEntryFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * ROC and precision-recall curves, and other aggregated metrics are derived
+       * from them. The confidence metrics entries may also be supplied for
+       * additional values of position_threshold, but from these no aggregated
+       * metrics are computed.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntryOrBuilder + getConfidenceMetricsEntryOrBuilder(int index) { + if (confidenceMetricsEntryBuilder_ == null) { + return confidenceMetricsEntry_.get(index); + } else { + return confidenceMetricsEntryBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * ROC and precision-recall curves, and other aggregated metrics are derived
+       * from them. The confidence metrics entries may also be supplied for
+       * additional values of position_threshold, but from these no aggregated
+       * metrics are computed.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + public java.util.List< + ? extends + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfidenceMetricsEntryOrBuilder> + getConfidenceMetricsEntryOrBuilderList() { + if (confidenceMetricsEntryBuilder_ != null) { + return confidenceMetricsEntryBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(confidenceMetricsEntry_); + } + } + /** + * + * + * 
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * ROC and precision-recall curves, and other aggregated metrics are derived
+       * from them. The confidence metrics entries may also be supplied for
+       * additional values of position_threshold, but from these no aggregated
+       * metrics are computed.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry.Builder + addConfidenceMetricsEntryBuilder() { + return getConfidenceMetricsEntryFieldBuilder() + .addBuilder( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry.getDefaultInstance()); + } + /** + * + * + * 
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * ROC and precision-recall curves, and other aggregated metrics are derived
+       * from them. The confidence metrics entries may also be supplied for
+       * additional values of position_threshold, but from these no aggregated
+       * metrics are computed.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry.Builder + addConfidenceMetricsEntryBuilder(int index) { + return getConfidenceMetricsEntryFieldBuilder() + .addBuilder( + index, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry.getDefaultInstance()); + } + /** + * + * + * 
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * ROC and precision-recall curves, and other aggregated metrics are derived
+       * from them. The confidence metrics entries may also be supplied for
+       * additional values of position_threshold, but from these no aggregated
+       * metrics are computed.
+       *
+ * + * + * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3; + * + */ + public java.util.List< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry.Builder> + getConfidenceMetricsEntryBuilderList() { + return getConfidenceMetricsEntryFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntry.Builder, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfidenceMetricsEntryOrBuilder> + getConfidenceMetricsEntryFieldBuilder() { + if (confidenceMetricsEntryBuilder_ == null) { + confidenceMetricsEntryBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfidenceMetricsEntry, + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder, + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfidenceMetricsEntryOrBuilder>( + confidenceMetricsEntry_, + ((bitField0_ & 0x00000001) != 0), + getParentForChildren(), + isClean()); + confidenceMetricsEntry_ = null; + } + return confidenceMetricsEntryBuilder_; + } + + private com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + confusionMatrix_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Builder, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrixOrBuilder> + confusionMatrixBuilder_; + /** + * + * + * 
+       * Output only. Confusion matrix of the evaluation.
+       * Only set for MULTICLASS classification problems where number
+       * of labels is no more than 10.
+       * Only set for model level evaluation, not for evaluation per label.
+       *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4; + * + * + * @return Whether the confusionMatrix field is set. + */ + public boolean hasConfusionMatrix() { + return confusionMatrixBuilder_ != null || confusionMatrix_ != null; + } + /** + * + * + * 
+       * Output only. Confusion matrix of the evaluation.
+       * Only set for MULTICLASS classification problems where number
+       * of labels is no more than 10.
+       * Only set for model level evaluation, not for evaluation per label.
+       *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4; + * + * + * @return The confusionMatrix. + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + getConfusionMatrix() { + if (confusionMatrixBuilder_ == null) { + return confusionMatrix_ == null + ? com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.getDefaultInstance() + : confusionMatrix_; + } else { + return confusionMatrixBuilder_.getMessage(); + } + } + /** + * + * + * 
+       * Output only. Confusion matrix of the evaluation.
+       * Only set for MULTICLASS classification problems where number
+       * of labels is no more than 10.
+       * Only set for model level evaluation, not for evaluation per label.
+       *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4; + * + */ + public Builder setConfusionMatrix( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + value) { + if (confusionMatrixBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + confusionMatrix_ = value; + onChanged(); + } else { + confusionMatrixBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+       * Output only. Confusion matrix of the evaluation.
+       * Only set for MULTICLASS classification problems where number
+       * of labels is no more than 10.
+       * Only set for model level evaluation, not for evaluation per label.
+       *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4; + * + */ + public Builder setConfusionMatrix( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Builder + builderForValue) { + if (confusionMatrixBuilder_ == null) { + confusionMatrix_ = builderForValue.build(); + onChanged(); + } else { + confusionMatrixBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+       * Output only. Confusion matrix of the evaluation.
+       * Only set for MULTICLASS classification problems where number
+       * of labels is no more than 10.
+       * Only set for model level evaluation, not for evaluation per label.
+       *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4; + * + */ + public Builder mergeConfusionMatrix( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + value) { + if (confusionMatrixBuilder_ == null) { + if (confusionMatrix_ != null) { + confusionMatrix_ = + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.newBuilder(confusionMatrix_) + .mergeFrom(value) + .buildPartial(); + } else { + confusionMatrix_ = value; + } + onChanged(); + } else { + confusionMatrixBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+       * Output only. Confusion matrix of the evaluation.
+       * Only set for MULTICLASS classification problems where number
+       * of labels is no more than 10.
+       * Only set for model level evaluation, not for evaluation per label.
+       *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4; + * + */ + public Builder clearConfusionMatrix() { + if (confusionMatrixBuilder_ == null) { + confusionMatrix_ = null; + onChanged(); + } else { + confusionMatrix_ = null; + confusionMatrixBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+       * Output only. Confusion matrix of the evaluation.
+       * Only set for MULTICLASS classification problems where number
+       * of labels is no more than 10.
+       * Only set for model level evaluation, not for evaluation per label.
+       *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Builder + getConfusionMatrixBuilder() { + + onChanged(); + return getConfusionMatrixFieldBuilder().getBuilder(); + } + /** + * + * + * 
+       * Output only. Confusion matrix of the evaluation.
+       * Only set for MULTICLASS classification problems where number
+       * of labels is no more than 10.
+       * Only set for model level evaluation, not for evaluation per label.
+       *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrixOrBuilder + getConfusionMatrixOrBuilder() { + if (confusionMatrixBuilder_ != null) { + return confusionMatrixBuilder_.getMessageOrBuilder(); + } else { + return confusionMatrix_ == null + ? com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.getDefaultInstance() + : confusionMatrix_; + } + } + /** + * + * + * 
+       * Output only. Confusion matrix of the evaluation.
+       * Only set for MULTICLASS classification problems where number
+       * of labels is no more than 10.
+       * Only set for model level evaluation, not for evaluation per label.
+       *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Builder, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrixOrBuilder> + getConfusionMatrixFieldBuilder() { + if (confusionMatrixBuilder_ == null) { + confusionMatrixBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix, + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Builder, + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder>( + getConfusionMatrix(), getParentForChildren(), isClean()); + confusionMatrix_ = null; + } + return confusionMatrixBuilder_; + } + + private com.google.protobuf.LazyStringList annotationSpecId_ = + com.google.protobuf.LazyStringArrayList.EMPTY; + + private void ensureAnnotationSpecIdIsMutable() { + if (!((bitField0_ & 0x00000002) != 0)) { + annotationSpecId_ = new com.google.protobuf.LazyStringArrayList(annotationSpecId_); + bitField0_ |= 0x00000002; + } + } + /** + * + * + * 
+       * Output only. The annotation spec ids used for this evaluation.
+       *
+ * + * repeated string annotation_spec_id = 5; + * + * @return A list containing the annotationSpecId. + */ + public com.google.protobuf.ProtocolStringList getAnnotationSpecIdList() { + return annotationSpecId_.getUnmodifiableView(); + } + /** + * + * + * 
+       * Output only. The annotation spec ids used for this evaluation.
+       *
+ * + * repeated string annotation_spec_id = 5; + * + * @return The count of annotationSpecId. + */ + public int getAnnotationSpecIdCount() { + return annotationSpecId_.size(); + } + /** + * + * + * 
+       * Output only. The annotation spec ids used for this evaluation.
+       *
+ * + * repeated string annotation_spec_id = 5; + * + * @param index The index of the element to return. + * @return The annotationSpecId at the given index. + */ + public java.lang.String getAnnotationSpecId(int index) { + return annotationSpecId_.get(index); + } + /** + * + * + * 
+       * Output only. The annotation spec ids used for this evaluation.
+       *
+ * + * repeated string annotation_spec_id = 5; + * + * @param index The index of the value to return. + * @return The bytes of the annotationSpecId at the given index. + */ + public com.google.protobuf.ByteString getAnnotationSpecIdBytes(int index) { + return annotationSpecId_.getByteString(index); + } + /** + * + * + * 
+       * Output only. The annotation spec ids used for this evaluation.
+       *
+ * + * repeated string annotation_spec_id = 5; + * + * @param index The index to set the value at. + * @param value The annotationSpecId to set. + * @return This builder for chaining. + */ + public Builder setAnnotationSpecId(int index, java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + ensureAnnotationSpecIdIsMutable(); + annotationSpecId_.set(index, value); + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. The annotation spec ids used for this evaluation.
+       *
+ * + * repeated string annotation_spec_id = 5; + * + * @param value The annotationSpecId to add. + * @return This builder for chaining. + */ + public Builder addAnnotationSpecId(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + ensureAnnotationSpecIdIsMutable(); + annotationSpecId_.add(value); + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. The annotation spec ids used for this evaluation.
+       *
+ * + * repeated string annotation_spec_id = 5; + * + * @param values The annotationSpecId to add. + * @return This builder for chaining. + */ + public Builder addAllAnnotationSpecId(java.lang.Iterable values) { + ensureAnnotationSpecIdIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, annotationSpecId_); + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. The annotation spec ids used for this evaluation.
+       *
+ * + * repeated string annotation_spec_id = 5; + * + * @return This builder for chaining. + */ + public Builder clearAnnotationSpecId() { + annotationSpecId_ = com.google.protobuf.LazyStringArrayList.EMPTY; + bitField0_ = (bitField0_ & ~0x00000002); + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. The annotation spec ids used for this evaluation.
+       *
+ * + * repeated string annotation_spec_id = 5; + * + * @param value The bytes of the annotationSpecId to add. + * @return This builder for chaining. + */ + public Builder addAnnotationSpecIdBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + ensureAnnotationSpecIdIsMutable(); + annotationSpecId_.add(value); + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics) + private static final com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = + new com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics(); + } + + public static com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ClassificationEvaluationMetrics parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ClassificationEvaluationMetrics(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } + } + + private static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ClassificationAnnotation_descriptor; + private static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ClassificationAnnotation_fieldAccessorTable; + private static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_VideoClassificationAnnotation_descriptor; + private static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_VideoClassificationAnnotation_fieldAccessorTable; + private static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_descriptor; + private static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_fieldAccessorTable; + private static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfidenceMetricsEntry_descriptor; + private static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfidenceMetricsEntry_fieldAccessorTable; + private static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfusionMatrix_descriptor; + private static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfusionMatrix_fieldAccessorTable; + private static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfusionMatrix_Row_descriptor; + private static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfusionMatrix_Row_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n0google/cloud/automl/v1beta1/classifica" + + "tion.proto\022\033google.cloud.automl.v1beta1\032" + + "*google/cloud/automl/v1beta1/temporal.pr" + + "oto\032\034google/api/annotations.proto\")\n\030Cla" + + "ssificationAnnotation\022\r\n\005score\030\001 \001(\002\"\307\001\n" + + "\035VideoClassificationAnnotation\022\014\n\004type\030\001" + + " \001(\t\022X\n\031classification_annotation\030\002 \001(\0132" + + "5.google.cloud.automl.v1beta1.Classifica" + + "tionAnnotation\022>\n\014time_segment\030\003 \001(\0132(.g" + + "oogle.cloud.automl.v1beta1.TimeSegment\"\251" + + "\007\n\037ClassificationEvaluationMetrics\022\016\n\006au" + + "_prc\030\001 \001(\002\022\027\n\013base_au_prc\030\002 \001(\002B\002\030\001\022\016\n\006a" + + "u_roc\030\006 \001(\002\022\020\n\010log_loss\030\007 \001(\002\022u\n\030confide" + + "nce_metrics_entry\030\003 \003(\0132S.google.cloud.a" + + "utoml.v1beta1.ClassificationEvaluationMe" + + "trics.ConfidenceMetricsEntry\022f\n\020confusio" + + "n_matrix\030\004 \001(\0132L.google.cloud.automl.v1b" + + "eta1.ClassificationEvaluationMetrics.Con" + + "fusionMatrix\022\032\n\022annotation_spec_id\030\005 \003(\t" + + "\032\374\002\n\026ConfidenceMetricsEntry\022\034\n\024confidenc" + + "e_threshold\030\001 \001(\002\022\032\n\022position_threshold\030" + + "\016 \001(\005\022\016\n\006recall\030\002 \001(\002\022\021\n\tprecision\030\003 \001(\002" + + "\022\033\n\023false_positive_rate\030\010 \001(\002\022\020\n\010f1_scor" + + "e\030\004 \001(\002\022\022\n\nrecall_at1\030\005 \001(\002\022\025\n\rprecision" + + "_at1\030\006 \001(\002\022\037\n\027false_positive_rate_at1\030\t " + + "\001(\002\022\024\n\014f1_score_at1\030\007 \001(\002\022\033\n\023true_positi" + + "ve_count\030\n \001(\003\022\034\n\024false_positive_count\030\013" + + " \001(\003\022\034\n\024false_negative_count\030\014 \001(\003\022\033\n\023tr" + + "ue_negative_count\030\r \001(\003\032\300\001\n\017ConfusionMat" + + "rix\022\032\n\022annotation_spec_id\030\001 \003(\t\022\024\n\014displ" + + "ay_name\030\003 \003(\t\022]\n\003row\030\002 \003(\0132P.google.clou" + + "d.automl.v1beta1.ClassificationEvaluatio" + + "nMetrics.ConfusionMatrix.Row\032\034\n\003Row\022\025\n\re" + + "xample_count\030\001 \003(\005*Y\n\022ClassificationType" + + "\022#\n\037CLASSIFICATION_TYPE_UNSPECIFIED\020\000\022\016\n" + + "\nMULTICLASS\020\001\022\016\n\nMULTILABEL\020\002B\270\001\n\037com.go" + + "ogle.cloud.automl.v1beta1B\023Classificatio" + + "nProtoZAgoogle.golang.org/genproto/googl" + + "eapis/cloud/automl/v1beta1;automl\312\002\033Goog" + + "le\\Cloud\\AutoMl\\V1beta1\352\002\036Google::Cloud:" + + ":AutoML::V1beta1b\006proto3" + }; + descriptor = + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.cloud.automl.v1beta1.Temporal.getDescriptor(), + com.google.api.AnnotationsProto.getDescriptor(), + }); + internal_static_google_cloud_automl_v1beta1_ClassificationAnnotation_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_ClassificationAnnotation_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ClassificationAnnotation_descriptor, + new java.lang.String[] { + "Score", + }); + internal_static_google_cloud_automl_v1beta1_VideoClassificationAnnotation_descriptor = + getDescriptor().getMessageTypes().get(1); + internal_static_google_cloud_automl_v1beta1_VideoClassificationAnnotation_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_VideoClassificationAnnotation_descriptor, + new java.lang.String[] { + "Type", "ClassificationAnnotation", "TimeSegment", + }); + internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_descriptor = + getDescriptor().getMessageTypes().get(2); + internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_descriptor, + new java.lang.String[] { + "AuPrc", + "BaseAuPrc", + "AuRoc", + "LogLoss", + "ConfidenceMetricsEntry", + "ConfusionMatrix", + "AnnotationSpecId", + }); + internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfidenceMetricsEntry_descriptor = + internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_descriptor + .getNestedTypes() + .get(0); + internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfidenceMetricsEntry_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfidenceMetricsEntry_descriptor, + new java.lang.String[] { + "ConfidenceThreshold", + "PositionThreshold", + "Recall", + "Precision", + "FalsePositiveRate", + "F1Score", + "RecallAt1", + "PrecisionAt1", + "FalsePositiveRateAt1", + "F1ScoreAt1", + "TruePositiveCount", + "FalsePositiveCount", + "FalseNegativeCount", + "TrueNegativeCount", + }); + internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfusionMatrix_descriptor = + internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_descriptor + .getNestedTypes() + .get(1); + internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfusionMatrix_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfusionMatrix_descriptor, + new java.lang.String[] { + "AnnotationSpecId", "DisplayName", "Row", + }); + internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfusionMatrix_Row_descriptor = + internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfusionMatrix_descriptor + .getNestedTypes() + .get(0); + internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfusionMatrix_Row_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfusionMatrix_Row_descriptor, + new java.lang.String[] { + "ExampleCount", + }); + com.google.cloud.automl.v1beta1.Temporal.getDescriptor(); + com.google.api.AnnotationsProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ColumnSpec.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ColumnSpec.java new file mode 100644 index 000000000..32f9260d9 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ColumnSpec.java @@ -0,0 +1,3161 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/column_spec.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * A representation of a column in a relational table. When listing them, column specs are returned in the same order in which they were
+ * given on import .
+ * Used by:
+ *   *   Tables
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ColumnSpec} + */ +public final class ColumnSpec extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ColumnSpec) + ColumnSpecOrBuilder { + private static final long serialVersionUID = 0L; + // Use ColumnSpec.newBuilder() to construct. + private ColumnSpec(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ColumnSpec() { + name_ = ""; + displayName_ = ""; + topCorrelatedColumns_ = java.util.Collections.emptyList(); + etag_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ColumnSpec(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ColumnSpec( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + name_ = s; + break; + } + case 18: + { + com.google.cloud.automl.v1beta1.DataType.Builder subBuilder = null; + if (dataType_ != null) { + subBuilder = dataType_.toBuilder(); + } + dataType_ = + input.readMessage( + com.google.cloud.automl.v1beta1.DataType.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(dataType_); + dataType_ = subBuilder.buildPartial(); + } + + break; + } + case 26: + { + java.lang.String s = input.readStringRequireUtf8(); + + displayName_ = s; + break; + } + case 34: + { + com.google.cloud.automl.v1beta1.DataStats.Builder subBuilder = null; + if (dataStats_ != null) { + subBuilder = dataStats_.toBuilder(); + } + dataStats_ = + input.readMessage( + com.google.cloud.automl.v1beta1.DataStats.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(dataStats_); + dataStats_ = subBuilder.buildPartial(); + } + + break; + } + case 42: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + topCorrelatedColumns_ = + new java.util.ArrayList< + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn>(); + mutable_bitField0_ |= 0x00000001; + } + topCorrelatedColumns_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.parser(), + extensionRegistry)); + break; + } + case 50: + { + java.lang.String s = input.readStringRequireUtf8(); + + etag_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + topCorrelatedColumns_ = java.util.Collections.unmodifiableList(topCorrelatedColumns_); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ColumnSpecOuterClass + .internal_static_google_cloud_automl_v1beta1_ColumnSpec_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ColumnSpecOuterClass + .internal_static_google_cloud_automl_v1beta1_ColumnSpec_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ColumnSpec.class, + com.google.cloud.automl.v1beta1.ColumnSpec.Builder.class); + } + + public interface CorrelatedColumnOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+     * The column_spec_id of the correlated column, which belongs to the same
+     * table as the in-context column.
+     *
+ * + * string column_spec_id = 1; + * + * @return The columnSpecId. + */ + java.lang.String getColumnSpecId(); + /** + * + * + * 
+     * The column_spec_id of the correlated column, which belongs to the same
+     * table as the in-context column.
+     *
+ * + * string column_spec_id = 1; + * + * @return The bytes for columnSpecId. + */ + com.google.protobuf.ByteString getColumnSpecIdBytes(); + + /** + * + * + * 
+     * Correlation between this and the in-context column.
+     *
+ * + * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2; + * + * @return Whether the correlationStats field is set. + */ + boolean hasCorrelationStats(); + /** + * + * + * 
+     * Correlation between this and the in-context column.
+     *
+ * + * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2; + * + * @return The correlationStats. + */ + com.google.cloud.automl.v1beta1.CorrelationStats getCorrelationStats(); + /** + * + * + * 
+     * Correlation between this and the in-context column.
+     *
+ * + * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2; + */ + com.google.cloud.automl.v1beta1.CorrelationStatsOrBuilder getCorrelationStatsOrBuilder(); + } + /** + * + * + * 
+   * Identifies the table's column, and its correlation with the column this
+   * ColumnSpec describes.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn} + */ + public static final class CorrelatedColumn extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn) + CorrelatedColumnOrBuilder { + private static final long serialVersionUID = 0L; + // Use CorrelatedColumn.newBuilder() to construct. + private CorrelatedColumn(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private CorrelatedColumn() { + columnSpecId_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new CorrelatedColumn(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private CorrelatedColumn( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + columnSpecId_ = s; + break; + } + case 18: + { + com.google.cloud.automl.v1beta1.CorrelationStats.Builder subBuilder = null; + if (correlationStats_ != null) { + subBuilder = correlationStats_.toBuilder(); + } + correlationStats_ = + input.readMessage( + com.google.cloud.automl.v1beta1.CorrelationStats.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(correlationStats_); + correlationStats_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ColumnSpecOuterClass + .internal_static_google_cloud_automl_v1beta1_ColumnSpec_CorrelatedColumn_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ColumnSpecOuterClass + .internal_static_google_cloud_automl_v1beta1_ColumnSpec_CorrelatedColumn_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.class, + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.Builder.class); + } + + public static final int COLUMN_SPEC_ID_FIELD_NUMBER = 1; + private volatile java.lang.Object columnSpecId_; + /** + * + * + * 
+     * The column_spec_id of the correlated column, which belongs to the same
+     * table as the in-context column.
+     *
+ * + * string column_spec_id = 1; + * + * @return The columnSpecId. + */ + public java.lang.String getColumnSpecId() { + java.lang.Object ref = columnSpecId_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + columnSpecId_ = s; + return s; + } + } + /** + * + * + * 
+     * The column_spec_id of the correlated column, which belongs to the same
+     * table as the in-context column.
+     *
+ * + * string column_spec_id = 1; + * + * @return The bytes for columnSpecId. + */ + public com.google.protobuf.ByteString getColumnSpecIdBytes() { + java.lang.Object ref = columnSpecId_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + columnSpecId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int CORRELATION_STATS_FIELD_NUMBER = 2; + private com.google.cloud.automl.v1beta1.CorrelationStats correlationStats_; + /** + * + * + * 
+     * Correlation between this and the in-context column.
+     *
+ * + * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2; + * + * @return Whether the correlationStats field is set. + */ + public boolean hasCorrelationStats() { + return correlationStats_ != null; + } + /** + * + * + * 
+     * Correlation between this and the in-context column.
+     *
+ * + * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2; + * + * @return The correlationStats. + */ + public com.google.cloud.automl.v1beta1.CorrelationStats getCorrelationStats() { + return correlationStats_ == null + ? com.google.cloud.automl.v1beta1.CorrelationStats.getDefaultInstance() + : correlationStats_; + } + /** + * + * + * 
+     * Correlation between this and the in-context column.
+     *
+ * + * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2; + */ + public com.google.cloud.automl.v1beta1.CorrelationStatsOrBuilder + getCorrelationStatsOrBuilder() { + return getCorrelationStats(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getColumnSpecIdBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, columnSpecId_); + } + if (correlationStats_ != null) { + output.writeMessage(2, getCorrelationStats()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getColumnSpecIdBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, columnSpecId_); + } + if (correlationStats_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getCorrelationStats()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn other = + (com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn) obj; + + if (!getColumnSpecId().equals(other.getColumnSpecId())) return false; + if (hasCorrelationStats() != other.hasCorrelationStats()) return false; + if (hasCorrelationStats()) { + if (!getCorrelationStats().equals(other.getCorrelationStats())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + COLUMN_SPEC_ID_FIELD_NUMBER; + hash = (53 * hash) + getColumnSpecId().hashCode(); + if (hasCorrelationStats()) { + hash = (37 * hash) + CORRELATION_STATS_FIELD_NUMBER; + hash = (53 * hash) + getCorrelationStats().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType( + com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+     * Identifies the table's column, and its correlation with the column this
+     * ColumnSpec describes.
+     *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn} + */ + public static final class Builder + extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn) + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumnOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ColumnSpecOuterClass + .internal_static_google_cloud_automl_v1beta1_ColumnSpec_CorrelatedColumn_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ColumnSpecOuterClass + .internal_static_google_cloud_automl_v1beta1_ColumnSpec_CorrelatedColumn_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.class, + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + columnSpecId_ = ""; + + if (correlationStatsBuilder_ == null) { + correlationStats_ = null; + } else { + correlationStats_ = null; + correlationStatsBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.ColumnSpecOuterClass + .internal_static_google_cloud_automl_v1beta1_ColumnSpec_CorrelatedColumn_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn build() { + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn buildPartial() { + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn result = + new com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn(this); + result.columnSpecId_ = columnSpecId_; + if (correlationStatsBuilder_ == null) { + result.correlationStats_ = correlationStats_; + } else { + result.correlationStats_ = correlationStatsBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, + int index, + java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn) { + return mergeFrom((com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn other) { + if (other + == com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.getDefaultInstance()) + return this; + if (!other.getColumnSpecId().isEmpty()) { + columnSpecId_ = other.columnSpecId_; + onChanged(); + } + if (other.hasCorrelationStats()) { + mergeCorrelationStats(other.getCorrelationStats()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object columnSpecId_ = ""; + /** + * + * + * 
+       * The column_spec_id of the correlated column, which belongs to the same
+       * table as the in-context column.
+       *
+ * + * string column_spec_id = 1; + * + * @return The columnSpecId. + */ + public java.lang.String getColumnSpecId() { + java.lang.Object ref = columnSpecId_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + columnSpecId_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+       * The column_spec_id of the correlated column, which belongs to the same
+       * table as the in-context column.
+       *
+ * + * string column_spec_id = 1; + * + * @return The bytes for columnSpecId. + */ + public com.google.protobuf.ByteString getColumnSpecIdBytes() { + java.lang.Object ref = columnSpecId_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + columnSpecId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+       * The column_spec_id of the correlated column, which belongs to the same
+       * table as the in-context column.
+       *
+ * + * string column_spec_id = 1; + * + * @param value The columnSpecId to set. + * @return This builder for chaining. + */ + public Builder setColumnSpecId(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + columnSpecId_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * The column_spec_id of the correlated column, which belongs to the same
+       * table as the in-context column.
+       *
+ * + * string column_spec_id = 1; + * + * @return This builder for chaining. + */ + public Builder clearColumnSpecId() { + + columnSpecId_ = getDefaultInstance().getColumnSpecId(); + onChanged(); + return this; + } + /** + * + * + * 
+       * The column_spec_id of the correlated column, which belongs to the same
+       * table as the in-context column.
+       *
+ * + * string column_spec_id = 1; + * + * @param value The bytes for columnSpecId to set. + * @return This builder for chaining. + */ + public Builder setColumnSpecIdBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + columnSpecId_ = value; + onChanged(); + return this; + } + + private com.google.cloud.automl.v1beta1.CorrelationStats correlationStats_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.CorrelationStats, + com.google.cloud.automl.v1beta1.CorrelationStats.Builder, + com.google.cloud.automl.v1beta1.CorrelationStatsOrBuilder> + correlationStatsBuilder_; + /** + * + * + * 
+       * Correlation between this and the in-context column.
+       *
+ * + * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2; + * + * @return Whether the correlationStats field is set. + */ + public boolean hasCorrelationStats() { + return correlationStatsBuilder_ != null || correlationStats_ != null; + } + /** + * + * + * 
+       * Correlation between this and the in-context column.
+       *
+ * + * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2; + * + * @return The correlationStats. + */ + public com.google.cloud.automl.v1beta1.CorrelationStats getCorrelationStats() { + if (correlationStatsBuilder_ == null) { + return correlationStats_ == null + ? com.google.cloud.automl.v1beta1.CorrelationStats.getDefaultInstance() + : correlationStats_; + } else { + return correlationStatsBuilder_.getMessage(); + } + } + /** + * + * + * 
+       * Correlation between this and the in-context column.
+       *
+ * + * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2; + */ + public Builder setCorrelationStats(com.google.cloud.automl.v1beta1.CorrelationStats value) { + if (correlationStatsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + correlationStats_ = value; + onChanged(); + } else { + correlationStatsBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+       * Correlation between this and the in-context column.
+       *
+ * + * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2; + */ + public Builder setCorrelationStats( + com.google.cloud.automl.v1beta1.CorrelationStats.Builder builderForValue) { + if (correlationStatsBuilder_ == null) { + correlationStats_ = builderForValue.build(); + onChanged(); + } else { + correlationStatsBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+       * Correlation between this and the in-context column.
+       *
+ * + * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2; + */ + public Builder mergeCorrelationStats(com.google.cloud.automl.v1beta1.CorrelationStats value) { + if (correlationStatsBuilder_ == null) { + if (correlationStats_ != null) { + correlationStats_ = + com.google.cloud.automl.v1beta1.CorrelationStats.newBuilder(correlationStats_) + .mergeFrom(value) + .buildPartial(); + } else { + correlationStats_ = value; + } + onChanged(); + } else { + correlationStatsBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+       * Correlation between this and the in-context column.
+       *
+ * + * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2; + */ + public Builder clearCorrelationStats() { + if (correlationStatsBuilder_ == null) { + correlationStats_ = null; + onChanged(); + } else { + correlationStats_ = null; + correlationStatsBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+       * Correlation between this and the in-context column.
+       *
+ * + * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2; + */ + public com.google.cloud.automl.v1beta1.CorrelationStats.Builder getCorrelationStatsBuilder() { + + onChanged(); + return getCorrelationStatsFieldBuilder().getBuilder(); + } + /** + * + * + * 
+       * Correlation between this and the in-context column.
+       *
+ * + * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2; + */ + public com.google.cloud.automl.v1beta1.CorrelationStatsOrBuilder + getCorrelationStatsOrBuilder() { + if (correlationStatsBuilder_ != null) { + return correlationStatsBuilder_.getMessageOrBuilder(); + } else { + return correlationStats_ == null + ? com.google.cloud.automl.v1beta1.CorrelationStats.getDefaultInstance() + : correlationStats_; + } + } + /** + * + * + * 
+       * Correlation between this and the in-context column.
+       *
+ * + * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.CorrelationStats, + com.google.cloud.automl.v1beta1.CorrelationStats.Builder, + com.google.cloud.automl.v1beta1.CorrelationStatsOrBuilder> + getCorrelationStatsFieldBuilder() { + if (correlationStatsBuilder_ == null) { + correlationStatsBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.CorrelationStats, + com.google.cloud.automl.v1beta1.CorrelationStats.Builder, + com.google.cloud.automl.v1beta1.CorrelationStatsOrBuilder>( + getCorrelationStats(), getParentForChildren(), isClean()); + correlationStats_ = null; + } + return correlationStatsBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn) + private static final com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn(); + } + + public static com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public CorrelatedColumn parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new CorrelatedColumn(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } + } + + public static final int NAME_FIELD_NUMBER = 1; + private volatile java.lang.Object name_; + /** + * + * + * 
+   * Output only. The resource name of the column specs.
+   * Form:
+   * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}/columnSpecs/{column_spec_id}`
+   *
+ * + * string name = 1; + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } + } + /** + * + * + * 
+   * Output only. The resource name of the column specs.
+   * Form:
+   * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}/columnSpecs/{column_spec_id}`
+   *
+ * + * string name = 1; + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int DATA_TYPE_FIELD_NUMBER = 2; + private com.google.cloud.automl.v1beta1.DataType dataType_; + /** + * + * + * 
+   * The data type of elements stored in the column.
+   *
+ * + * .google.cloud.automl.v1beta1.DataType data_type = 2; + * + * @return Whether the dataType field is set. + */ + public boolean hasDataType() { + return dataType_ != null; + } + /** + * + * + * 
+   * The data type of elements stored in the column.
+   *
+ * + * .google.cloud.automl.v1beta1.DataType data_type = 2; + * + * @return The dataType. + */ + public com.google.cloud.automl.v1beta1.DataType getDataType() { + return dataType_ == null + ? com.google.cloud.automl.v1beta1.DataType.getDefaultInstance() + : dataType_; + } + /** + * + * + * 
+   * The data type of elements stored in the column.
+   *
+ * + * .google.cloud.automl.v1beta1.DataType data_type = 2; + */ + public com.google.cloud.automl.v1beta1.DataTypeOrBuilder getDataTypeOrBuilder() { + return getDataType(); + } + + public static final int DISPLAY_NAME_FIELD_NUMBER = 3; + private volatile java.lang.Object displayName_; + /** + * + * + * 
+   * Output only. The name of the column to show in the interface. The name can
+   * be up to 100 characters long and can consist only of ASCII Latin letters
+   * A-Z and a-z, ASCII digits 0-9, underscores(_), and forward slashes(/), and
+   * must start with a letter or a digit.
+   *
+ * + * string display_name = 3; + * + * @return The displayName. + */ + public java.lang.String getDisplayName() { + java.lang.Object ref = displayName_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + displayName_ = s; + return s; + } + } + /** + * + * + * 
+   * Output only. The name of the column to show in the interface. The name can
+   * be up to 100 characters long and can consist only of ASCII Latin letters
+   * A-Z and a-z, ASCII digits 0-9, underscores(_), and forward slashes(/), and
+   * must start with a letter or a digit.
+   *
+ * + * string display_name = 3; + * + * @return The bytes for displayName. + */ + public com.google.protobuf.ByteString getDisplayNameBytes() { + java.lang.Object ref = displayName_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + displayName_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int DATA_STATS_FIELD_NUMBER = 4; + private com.google.cloud.automl.v1beta1.DataStats dataStats_; + /** + * + * + * 
+   * Output only. Stats of the series of values in the column.
+   * This field may be stale, see the ancestor's
+   * Dataset.tables_dataset_metadata.stats_update_time field
+   * for the timestamp at which these stats were last updated.
+   *
+ * + * .google.cloud.automl.v1beta1.DataStats data_stats = 4; + * + * @return Whether the dataStats field is set. + */ + public boolean hasDataStats() { + return dataStats_ != null; + } + /** + * + * + * 
+   * Output only. Stats of the series of values in the column.
+   * This field may be stale, see the ancestor's
+   * Dataset.tables_dataset_metadata.stats_update_time field
+   * for the timestamp at which these stats were last updated.
+   *
+ * + * .google.cloud.automl.v1beta1.DataStats data_stats = 4; + * + * @return The dataStats. + */ + public com.google.cloud.automl.v1beta1.DataStats getDataStats() { + return dataStats_ == null + ? com.google.cloud.automl.v1beta1.DataStats.getDefaultInstance() + : dataStats_; + } + /** + * + * + * 
+   * Output only. Stats of the series of values in the column.
+   * This field may be stale, see the ancestor's
+   * Dataset.tables_dataset_metadata.stats_update_time field
+   * for the timestamp at which these stats were last updated.
+   *
+ * + * .google.cloud.automl.v1beta1.DataStats data_stats = 4; + */ + public com.google.cloud.automl.v1beta1.DataStatsOrBuilder getDataStatsOrBuilder() { + return getDataStats(); + } + + public static final int TOP_CORRELATED_COLUMNS_FIELD_NUMBER = 5; + private java.util.List + topCorrelatedColumns_; + /** + * + * + * 
+   * Deprecated.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + public java.util.List + getTopCorrelatedColumnsList() { + return topCorrelatedColumns_; + } + /** + * + * + * 
+   * Deprecated.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + public java.util.List< + ? extends com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumnOrBuilder> + getTopCorrelatedColumnsOrBuilderList() { + return topCorrelatedColumns_; + } + /** + * + * + * 
+   * Deprecated.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + public int getTopCorrelatedColumnsCount() { + return topCorrelatedColumns_.size(); + } + /** + * + * + * 
+   * Deprecated.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + public com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn getTopCorrelatedColumns( + int index) { + return topCorrelatedColumns_.get(index); + } + /** + * + * + * 
+   * Deprecated.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + public com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumnOrBuilder + getTopCorrelatedColumnsOrBuilder(int index) { + return topCorrelatedColumns_.get(index); + } + + public static final int ETAG_FIELD_NUMBER = 6; + private volatile java.lang.Object etag_; + /** + * + * + * 
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   *
+ * + * string etag = 6; + * + * @return The etag. + */ + public java.lang.String getEtag() { + java.lang.Object ref = etag_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + etag_ = s; + return s; + } + } + /** + * + * + * 
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   *
+ * + * string etag = 6; + * + * @return The bytes for etag. + */ + public com.google.protobuf.ByteString getEtagBytes() { + java.lang.Object ref = etag_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + etag_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_); + } + if (dataType_ != null) { + output.writeMessage(2, getDataType()); + } + if (!getDisplayNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 3, displayName_); + } + if (dataStats_ != null) { + output.writeMessage(4, getDataStats()); + } + for (int i = 0; i < topCorrelatedColumns_.size(); i++) { + output.writeMessage(5, topCorrelatedColumns_.get(i)); + } + if (!getEtagBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 6, etag_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_); + } + if (dataType_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getDataType()); + } + if (!getDisplayNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, displayName_); + } + if (dataStats_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, getDataStats()); + } + for (int i = 0; i < topCorrelatedColumns_.size(); i++) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize(5, topCorrelatedColumns_.get(i)); + } + if (!getEtagBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(6, etag_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ColumnSpec)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ColumnSpec other = + (com.google.cloud.automl.v1beta1.ColumnSpec) obj; + + if (!getName().equals(other.getName())) return false; + if (hasDataType() != other.hasDataType()) return false; + if (hasDataType()) { + if (!getDataType().equals(other.getDataType())) return false; + } + if (!getDisplayName().equals(other.getDisplayName())) return false; + if (hasDataStats() != other.hasDataStats()) return false; + if (hasDataStats()) { + if (!getDataStats().equals(other.getDataStats())) return false; + } + if (!getTopCorrelatedColumnsList().equals(other.getTopCorrelatedColumnsList())) return false; + if (!getEtag().equals(other.getEtag())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + NAME_FIELD_NUMBER; + hash = (53 * hash) + getName().hashCode(); + if (hasDataType()) { + hash = (37 * hash) + DATA_TYPE_FIELD_NUMBER; + hash = (53 * hash) + getDataType().hashCode(); + } + hash = (37 * hash) + DISPLAY_NAME_FIELD_NUMBER; + hash = (53 * hash) + getDisplayName().hashCode(); + if (hasDataStats()) { + hash = (37 * hash) + DATA_STATS_FIELD_NUMBER; + hash = (53 * hash) + getDataStats().hashCode(); + } + if (getTopCorrelatedColumnsCount() > 0) { + hash = (37 * hash) + TOP_CORRELATED_COLUMNS_FIELD_NUMBER; + hash = (53 * hash) + getTopCorrelatedColumnsList().hashCode(); + } + hash = (37 * hash) + ETAG_FIELD_NUMBER; + hash = (53 * hash) + getEtag().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ColumnSpec parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ColumnSpec parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ColumnSpec parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ColumnSpec parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ColumnSpec parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ColumnSpec parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ColumnSpec parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ColumnSpec parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ColumnSpec parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ColumnSpec parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ColumnSpec parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ColumnSpec parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.ColumnSpec prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * A representation of a column in a relational table. When listing them, column specs are returned in the same order in which they were
+   * given on import .
+   * Used by:
+   *   *   Tables
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ColumnSpec} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ColumnSpec) + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ColumnSpecOuterClass + .internal_static_google_cloud_automl_v1beta1_ColumnSpec_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ColumnSpecOuterClass + .internal_static_google_cloud_automl_v1beta1_ColumnSpec_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ColumnSpec.class, + com.google.cloud.automl.v1beta1.ColumnSpec.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.ColumnSpec.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getTopCorrelatedColumnsFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + name_ = ""; + + if (dataTypeBuilder_ == null) { + dataType_ = null; + } else { + dataType_ = null; + dataTypeBuilder_ = null; + } + displayName_ = ""; + + if (dataStatsBuilder_ == null) { + dataStats_ = null; + } else { + dataStats_ = null; + dataStatsBuilder_ = null; + } + if (topCorrelatedColumnsBuilder_ == null) { + topCorrelatedColumns_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + } else { + topCorrelatedColumnsBuilder_.clear(); + } + etag_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.ColumnSpecOuterClass + .internal_static_google_cloud_automl_v1beta1_ColumnSpec_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ColumnSpec getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ColumnSpec build() { + com.google.cloud.automl.v1beta1.ColumnSpec result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ColumnSpec buildPartial() { + com.google.cloud.automl.v1beta1.ColumnSpec result = + new com.google.cloud.automl.v1beta1.ColumnSpec(this); + int from_bitField0_ = bitField0_; + result.name_ = name_; + if (dataTypeBuilder_ == null) { + result.dataType_ = dataType_; + } else { + result.dataType_ = dataTypeBuilder_.build(); + } + result.displayName_ = displayName_; + if (dataStatsBuilder_ == null) { + result.dataStats_ = dataStats_; + } else { + result.dataStats_ = dataStatsBuilder_.build(); + } + if (topCorrelatedColumnsBuilder_ == null) { + if (((bitField0_ & 0x00000001) != 0)) { + topCorrelatedColumns_ = java.util.Collections.unmodifiableList(topCorrelatedColumns_); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.topCorrelatedColumns_ = topCorrelatedColumns_; + } else { + result.topCorrelatedColumns_ = topCorrelatedColumnsBuilder_.build(); + } + result.etag_ = etag_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ColumnSpec) { + return mergeFrom((com.google.cloud.automl.v1beta1.ColumnSpec) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.ColumnSpec other) { + if (other == com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance()) return this; + if (!other.getName().isEmpty()) { + name_ = other.name_; + onChanged(); + } + if (other.hasDataType()) { + mergeDataType(other.getDataType()); + } + if (!other.getDisplayName().isEmpty()) { + displayName_ = other.displayName_; + onChanged(); + } + if (other.hasDataStats()) { + mergeDataStats(other.getDataStats()); + } + if (topCorrelatedColumnsBuilder_ == null) { + if (!other.topCorrelatedColumns_.isEmpty()) { + if (topCorrelatedColumns_.isEmpty()) { + topCorrelatedColumns_ = other.topCorrelatedColumns_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensureTopCorrelatedColumnsIsMutable(); + topCorrelatedColumns_.addAll(other.topCorrelatedColumns_); + } + onChanged(); + } + } else { + if (!other.topCorrelatedColumns_.isEmpty()) { + if (topCorrelatedColumnsBuilder_.isEmpty()) { + topCorrelatedColumnsBuilder_.dispose(); + topCorrelatedColumnsBuilder_ = null; + topCorrelatedColumns_ = other.topCorrelatedColumns_; + bitField0_ = (bitField0_ & ~0x00000001); + topCorrelatedColumnsBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getTopCorrelatedColumnsFieldBuilder() + : null; + } else { + topCorrelatedColumnsBuilder_.addAllMessages(other.topCorrelatedColumns_); + } + } + } + if (!other.getEtag().isEmpty()) { + etag_ = other.etag_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ColumnSpec parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.ColumnSpec) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private java.lang.Object name_ = ""; + /** + * + * + * 
+     * Output only. The resource name of the column specs.
+     * Form:
+     * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}/columnSpecs/{column_spec_id}`
+     *
+ * + * string name = 1; + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Output only. The resource name of the column specs.
+     * Form:
+     * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}/columnSpecs/{column_spec_id}`
+     *
+ * + * string name = 1; + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Output only. The resource name of the column specs.
+     * Form:
+     * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}/columnSpecs/{column_spec_id}`
+     *
+ * + * string name = 1; + * + * @param value The name to set. + * @return This builder for chaining. + */ + public Builder setName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + name_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The resource name of the column specs.
+     * Form:
+     * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}/columnSpecs/{column_spec_id}`
+     *
+ * + * string name = 1; + * + * @return This builder for chaining. + */ + public Builder clearName() { + + name_ = getDefaultInstance().getName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The resource name of the column specs.
+     * Form:
+     * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}/columnSpecs/{column_spec_id}`
+     *
+ * + * string name = 1; + * + * @param value The bytes for name to set. + * @return This builder for chaining. + */ + public Builder setNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + name_ = value; + onChanged(); + return this; + } + + private com.google.cloud.automl.v1beta1.DataType dataType_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DataType, + com.google.cloud.automl.v1beta1.DataType.Builder, + com.google.cloud.automl.v1beta1.DataTypeOrBuilder> + dataTypeBuilder_; + /** + * + * + * 
+     * The data type of elements stored in the column.
+     *
+ * + * .google.cloud.automl.v1beta1.DataType data_type = 2; + * + * @return Whether the dataType field is set. + */ + public boolean hasDataType() { + return dataTypeBuilder_ != null || dataType_ != null; + } + /** + * + * + * 
+     * The data type of elements stored in the column.
+     *
+ * + * .google.cloud.automl.v1beta1.DataType data_type = 2; + * + * @return The dataType. + */ + public com.google.cloud.automl.v1beta1.DataType getDataType() { + if (dataTypeBuilder_ == null) { + return dataType_ == null + ? com.google.cloud.automl.v1beta1.DataType.getDefaultInstance() + : dataType_; + } else { + return dataTypeBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * The data type of elements stored in the column.
+     *
+ * + * .google.cloud.automl.v1beta1.DataType data_type = 2; + */ + public Builder setDataType(com.google.cloud.automl.v1beta1.DataType value) { + if (dataTypeBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + dataType_ = value; + onChanged(); + } else { + dataTypeBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * The data type of elements stored in the column.
+     *
+ * + * .google.cloud.automl.v1beta1.DataType data_type = 2; + */ + public Builder setDataType(com.google.cloud.automl.v1beta1.DataType.Builder builderForValue) { + if (dataTypeBuilder_ == null) { + dataType_ = builderForValue.build(); + onChanged(); + } else { + dataTypeBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * The data type of elements stored in the column.
+     *
+ * + * .google.cloud.automl.v1beta1.DataType data_type = 2; + */ + public Builder mergeDataType(com.google.cloud.automl.v1beta1.DataType value) { + if (dataTypeBuilder_ == null) { + if (dataType_ != null) { + dataType_ = + com.google.cloud.automl.v1beta1.DataType.newBuilder(dataType_) + .mergeFrom(value) + .buildPartial(); + } else { + dataType_ = value; + } + onChanged(); + } else { + dataTypeBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * The data type of elements stored in the column.
+     *
+ * + * .google.cloud.automl.v1beta1.DataType data_type = 2; + */ + public Builder clearDataType() { + if (dataTypeBuilder_ == null) { + dataType_ = null; + onChanged(); + } else { + dataType_ = null; + dataTypeBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * The data type of elements stored in the column.
+     *
+ * + * .google.cloud.automl.v1beta1.DataType data_type = 2; + */ + public com.google.cloud.automl.v1beta1.DataType.Builder getDataTypeBuilder() { + + onChanged(); + return getDataTypeFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The data type of elements stored in the column.
+     *
+ * + * .google.cloud.automl.v1beta1.DataType data_type = 2; + */ + public com.google.cloud.automl.v1beta1.DataTypeOrBuilder getDataTypeOrBuilder() { + if (dataTypeBuilder_ != null) { + return dataTypeBuilder_.getMessageOrBuilder(); + } else { + return dataType_ == null + ? com.google.cloud.automl.v1beta1.DataType.getDefaultInstance() + : dataType_; + } + } + /** + * + * + * 
+     * The data type of elements stored in the column.
+     *
+ * + * .google.cloud.automl.v1beta1.DataType data_type = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DataType, + com.google.cloud.automl.v1beta1.DataType.Builder, + com.google.cloud.automl.v1beta1.DataTypeOrBuilder> + getDataTypeFieldBuilder() { + if (dataTypeBuilder_ == null) { + dataTypeBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DataType, + com.google.cloud.automl.v1beta1.DataType.Builder, + com.google.cloud.automl.v1beta1.DataTypeOrBuilder>( + getDataType(), getParentForChildren(), isClean()); + dataType_ = null; + } + return dataTypeBuilder_; + } + + private java.lang.Object displayName_ = ""; + /** + * + * + * 
+     * Output only. The name of the column to show in the interface. The name can
+     * be up to 100 characters long and can consist only of ASCII Latin letters
+     * A-Z and a-z, ASCII digits 0-9, underscores(_), and forward slashes(/), and
+     * must start with a letter or a digit.
+     *
+ * + * string display_name = 3; + * + * @return The displayName. + */ + public java.lang.String getDisplayName() { + java.lang.Object ref = displayName_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + displayName_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Output only. The name of the column to show in the interface. The name can
+     * be up to 100 characters long and can consist only of ASCII Latin letters
+     * A-Z and a-z, ASCII digits 0-9, underscores(_), and forward slashes(/), and
+     * must start with a letter or a digit.
+     *
+ * + * string display_name = 3; + * + * @return The bytes for displayName. + */ + public com.google.protobuf.ByteString getDisplayNameBytes() { + java.lang.Object ref = displayName_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + displayName_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Output only. The name of the column to show in the interface. The name can
+     * be up to 100 characters long and can consist only of ASCII Latin letters
+     * A-Z and a-z, ASCII digits 0-9, underscores(_), and forward slashes(/), and
+     * must start with a letter or a digit.
+     *
+ * + * string display_name = 3; + * + * @param value The displayName to set. + * @return This builder for chaining. + */ + public Builder setDisplayName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + displayName_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The name of the column to show in the interface. The name can
+     * be up to 100 characters long and can consist only of ASCII Latin letters
+     * A-Z and a-z, ASCII digits 0-9, underscores(_), and forward slashes(/), and
+     * must start with a letter or a digit.
+     *
+ * + * string display_name = 3; + * + * @return This builder for chaining. + */ + public Builder clearDisplayName() { + + displayName_ = getDefaultInstance().getDisplayName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The name of the column to show in the interface. The name can
+     * be up to 100 characters long and can consist only of ASCII Latin letters
+     * A-Z and a-z, ASCII digits 0-9, underscores(_), and forward slashes(/), and
+     * must start with a letter or a digit.
+     *
+ * + * string display_name = 3; + * + * @param value The bytes for displayName to set. + * @return This builder for chaining. + */ + public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + displayName_ = value; + onChanged(); + return this; + } + + private com.google.cloud.automl.v1beta1.DataStats dataStats_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DataStats, + com.google.cloud.automl.v1beta1.DataStats.Builder, + com.google.cloud.automl.v1beta1.DataStatsOrBuilder> + dataStatsBuilder_; + /** + * + * + * 
+     * Output only. Stats of the series of values in the column.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     *
+ * + * .google.cloud.automl.v1beta1.DataStats data_stats = 4; + * + * @return Whether the dataStats field is set. + */ + public boolean hasDataStats() { + return dataStatsBuilder_ != null || dataStats_ != null; + } + /** + * + * + * 
+     * Output only. Stats of the series of values in the column.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     *
+ * + * .google.cloud.automl.v1beta1.DataStats data_stats = 4; + * + * @return The dataStats. + */ + public com.google.cloud.automl.v1beta1.DataStats getDataStats() { + if (dataStatsBuilder_ == null) { + return dataStats_ == null + ? com.google.cloud.automl.v1beta1.DataStats.getDefaultInstance() + : dataStats_; + } else { + return dataStatsBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Output only. Stats of the series of values in the column.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     *
+ * + * .google.cloud.automl.v1beta1.DataStats data_stats = 4; + */ + public Builder setDataStats(com.google.cloud.automl.v1beta1.DataStats value) { + if (dataStatsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + dataStats_ = value; + onChanged(); + } else { + dataStatsBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. Stats of the series of values in the column.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     *
+ * + * .google.cloud.automl.v1beta1.DataStats data_stats = 4; + */ + public Builder setDataStats(com.google.cloud.automl.v1beta1.DataStats.Builder builderForValue) { + if (dataStatsBuilder_ == null) { + dataStats_ = builderForValue.build(); + onChanged(); + } else { + dataStatsBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Output only. Stats of the series of values in the column.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     *
+ * + * .google.cloud.automl.v1beta1.DataStats data_stats = 4; + */ + public Builder mergeDataStats(com.google.cloud.automl.v1beta1.DataStats value) { + if (dataStatsBuilder_ == null) { + if (dataStats_ != null) { + dataStats_ = + com.google.cloud.automl.v1beta1.DataStats.newBuilder(dataStats_) + .mergeFrom(value) + .buildPartial(); + } else { + dataStats_ = value; + } + onChanged(); + } else { + dataStatsBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. Stats of the series of values in the column.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     *
+ * + * .google.cloud.automl.v1beta1.DataStats data_stats = 4; + */ + public Builder clearDataStats() { + if (dataStatsBuilder_ == null) { + dataStats_ = null; + onChanged(); + } else { + dataStats_ = null; + dataStatsBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Output only. Stats of the series of values in the column.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     *
+ * + * .google.cloud.automl.v1beta1.DataStats data_stats = 4; + */ + public com.google.cloud.automl.v1beta1.DataStats.Builder getDataStatsBuilder() { + + onChanged(); + return getDataStatsFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Output only. Stats of the series of values in the column.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     *
+ * + * .google.cloud.automl.v1beta1.DataStats data_stats = 4; + */ + public com.google.cloud.automl.v1beta1.DataStatsOrBuilder getDataStatsOrBuilder() { + if (dataStatsBuilder_ != null) { + return dataStatsBuilder_.getMessageOrBuilder(); + } else { + return dataStats_ == null + ? com.google.cloud.automl.v1beta1.DataStats.getDefaultInstance() + : dataStats_; + } + } + /** + * + * + * 
+     * Output only. Stats of the series of values in the column.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     *
+ * + * .google.cloud.automl.v1beta1.DataStats data_stats = 4; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DataStats, + com.google.cloud.automl.v1beta1.DataStats.Builder, + com.google.cloud.automl.v1beta1.DataStatsOrBuilder> + getDataStatsFieldBuilder() { + if (dataStatsBuilder_ == null) { + dataStatsBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DataStats, + com.google.cloud.automl.v1beta1.DataStats.Builder, + com.google.cloud.automl.v1beta1.DataStatsOrBuilder>( + getDataStats(), getParentForChildren(), isClean()); + dataStats_ = null; + } + return dataStatsBuilder_; + } + + private java.util.List + topCorrelatedColumns_ = java.util.Collections.emptyList(); + + private void ensureTopCorrelatedColumnsIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + topCorrelatedColumns_ = + new java.util.ArrayList( + topCorrelatedColumns_); + bitField0_ |= 0x00000001; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn, + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.Builder, + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumnOrBuilder> + topCorrelatedColumnsBuilder_; + + /** + * + * + * 
+     * Deprecated.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + public java.util.List + getTopCorrelatedColumnsList() { + if (topCorrelatedColumnsBuilder_ == null) { + return java.util.Collections.unmodifiableList(topCorrelatedColumns_); + } else { + return topCorrelatedColumnsBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * Deprecated.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + public int getTopCorrelatedColumnsCount() { + if (topCorrelatedColumnsBuilder_ == null) { + return topCorrelatedColumns_.size(); + } else { + return topCorrelatedColumnsBuilder_.getCount(); + } + } + /** + * + * + * 
+     * Deprecated.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + public com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn getTopCorrelatedColumns( + int index) { + if (topCorrelatedColumnsBuilder_ == null) { + return topCorrelatedColumns_.get(index); + } else { + return topCorrelatedColumnsBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * Deprecated.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + public Builder setTopCorrelatedColumns( + int index, com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn value) { + if (topCorrelatedColumnsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureTopCorrelatedColumnsIsMutable(); + topCorrelatedColumns_.set(index, value); + onChanged(); + } else { + topCorrelatedColumnsBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Deprecated.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + public Builder setTopCorrelatedColumns( + int index, + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.Builder builderForValue) { + if (topCorrelatedColumnsBuilder_ == null) { + ensureTopCorrelatedColumnsIsMutable(); + topCorrelatedColumns_.set(index, builderForValue.build()); + onChanged(); + } else { + topCorrelatedColumnsBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Deprecated.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + public Builder addTopCorrelatedColumns( + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn value) { + if (topCorrelatedColumnsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureTopCorrelatedColumnsIsMutable(); + topCorrelatedColumns_.add(value); + onChanged(); + } else { + topCorrelatedColumnsBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * Deprecated.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + public Builder addTopCorrelatedColumns( + int index, com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn value) { + if (topCorrelatedColumnsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureTopCorrelatedColumnsIsMutable(); + topCorrelatedColumns_.add(index, value); + onChanged(); + } else { + topCorrelatedColumnsBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Deprecated.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + public Builder addTopCorrelatedColumns( + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.Builder builderForValue) { + if (topCorrelatedColumnsBuilder_ == null) { + ensureTopCorrelatedColumnsIsMutable(); + topCorrelatedColumns_.add(builderForValue.build()); + onChanged(); + } else { + topCorrelatedColumnsBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Deprecated.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + public Builder addTopCorrelatedColumns( + int index, + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.Builder builderForValue) { + if (topCorrelatedColumnsBuilder_ == null) { + ensureTopCorrelatedColumnsIsMutable(); + topCorrelatedColumns_.add(index, builderForValue.build()); + onChanged(); + } else { + topCorrelatedColumnsBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Deprecated.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + public Builder addAllTopCorrelatedColumns( + java.lang.Iterable + values) { + if (topCorrelatedColumnsBuilder_ == null) { + ensureTopCorrelatedColumnsIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, topCorrelatedColumns_); + onChanged(); + } else { + topCorrelatedColumnsBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * Deprecated.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + public Builder clearTopCorrelatedColumns() { + if (topCorrelatedColumnsBuilder_ == null) { + topCorrelatedColumns_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + } else { + topCorrelatedColumnsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Deprecated.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + public Builder removeTopCorrelatedColumns(int index) { + if (topCorrelatedColumnsBuilder_ == null) { + ensureTopCorrelatedColumnsIsMutable(); + topCorrelatedColumns_.remove(index); + onChanged(); + } else { + topCorrelatedColumnsBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * Deprecated.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + public com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.Builder + getTopCorrelatedColumnsBuilder(int index) { + return getTopCorrelatedColumnsFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * Deprecated.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + public com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumnOrBuilder + getTopCorrelatedColumnsOrBuilder(int index) { + if (topCorrelatedColumnsBuilder_ == null) { + return topCorrelatedColumns_.get(index); + } else { + return topCorrelatedColumnsBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * Deprecated.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + public java.util.List< + ? extends com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumnOrBuilder> + getTopCorrelatedColumnsOrBuilderList() { + if (topCorrelatedColumnsBuilder_ != null) { + return topCorrelatedColumnsBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(topCorrelatedColumns_); + } + } + /** + * + * + * 
+     * Deprecated.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + public com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.Builder + addTopCorrelatedColumnsBuilder() { + return getTopCorrelatedColumnsFieldBuilder() + .addBuilder( + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.getDefaultInstance()); + } + /** + * + * + * 
+     * Deprecated.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + public com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.Builder + addTopCorrelatedColumnsBuilder(int index) { + return getTopCorrelatedColumnsFieldBuilder() + .addBuilder( + index, + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.getDefaultInstance()); + } + /** + * + * + * 
+     * Deprecated.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + public java.util.List + getTopCorrelatedColumnsBuilderList() { + return getTopCorrelatedColumnsFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn, + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.Builder, + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumnOrBuilder> + getTopCorrelatedColumnsFieldBuilder() { + if (topCorrelatedColumnsBuilder_ == null) { + topCorrelatedColumnsBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn, + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.Builder, + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumnOrBuilder>( + topCorrelatedColumns_, + ((bitField0_ & 0x00000001) != 0), + getParentForChildren(), + isClean()); + topCorrelatedColumns_ = null; + } + return topCorrelatedColumnsBuilder_; + } + + private java.lang.Object etag_ = ""; + /** + * + * + * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     *
+ * + * string etag = 6; + * + * @return The etag. + */ + public java.lang.String getEtag() { + java.lang.Object ref = etag_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + etag_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     *
+ * + * string etag = 6; + * + * @return The bytes for etag. + */ + public com.google.protobuf.ByteString getEtagBytes() { + java.lang.Object ref = etag_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + etag_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     *
+ * + * string etag = 6; + * + * @param value The etag to set. + * @return This builder for chaining. + */ + public Builder setEtag(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + etag_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     *
+ * + * string etag = 6; + * + * @return This builder for chaining. + */ + public Builder clearEtag() { + + etag_ = getDefaultInstance().getEtag(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     *
+ * + * string etag = 6; + * + * @param value The bytes for etag to set. + * @return This builder for chaining. + */ + public Builder setEtagBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + etag_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ColumnSpec) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ColumnSpec) + private static final com.google.cloud.automl.v1beta1.ColumnSpec DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ColumnSpec(); + } + + public static com.google.cloud.automl.v1beta1.ColumnSpec getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ColumnSpec parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ColumnSpec(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ColumnSpec getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ColumnSpecName.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ColumnSpecName.java new file mode 100644 index 000000000..b20d545da --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ColumnSpecName.java @@ -0,0 +1,277 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package com.google.cloud.automl.v1beta1; + +import com.google.api.pathtemplate.PathTemplate; +import com.google.api.resourcenames.ResourceName; +import com.google.common.base.Preconditions; +import com.google.common.collect.ImmutableMap; +import java.util.ArrayList; +import java.util.List; +import java.util.Map; + +/** AUTO-GENERATED DOCUMENTATION AND CLASS */ +@javax.annotation.Generated("by GAPIC protoc plugin") +public class ColumnSpecName implements ResourceName { + + private static final PathTemplate PATH_TEMPLATE = + PathTemplate.createWithoutUrlEncoding( + "projects/{project}/locations/{location}/datasets/{dataset}/tableSpecs/{table_spec}/columnSpecs/{column_spec}"); + + private volatile Map fieldValuesMap; + + private final String project; + private final String location; + private final String dataset; + private final String tableSpec; + private final String columnSpec; + + public String getProject() { + return project; + } + + public String getLocation() { + return location; + } + + public String getDataset() { + return dataset; + } + + public String getTableSpec() { + return tableSpec; + } + + public String getColumnSpec() { + return columnSpec; + } + + public static Builder newBuilder() { + return new Builder(); + } + + public Builder toBuilder() { + return new Builder(this); + } + + private ColumnSpecName(Builder builder) { + project = Preconditions.checkNotNull(builder.getProject()); + location = Preconditions.checkNotNull(builder.getLocation()); + dataset = Preconditions.checkNotNull(builder.getDataset()); + tableSpec = Preconditions.checkNotNull(builder.getTableSpec()); + columnSpec = Preconditions.checkNotNull(builder.getColumnSpec()); + } + + public static ColumnSpecName of( + String project, String location, String dataset, String tableSpec, String columnSpec) { + return newBuilder() + .setProject(project) + .setLocation(location) + .setDataset(dataset) + .setTableSpec(tableSpec) + .setColumnSpec(columnSpec) + .build(); + } + + public static String format( + String project, String location, String dataset, String tableSpec, String columnSpec) { + return newBuilder() + .setProject(project) + .setLocation(location) + .setDataset(dataset) + .setTableSpec(tableSpec) + .setColumnSpec(columnSpec) + .build() + .toString(); + } + + public static ColumnSpecName parse(String formattedString) { + if (formattedString.isEmpty()) { + return null; + } + Map matchMap = + PATH_TEMPLATE.validatedMatch( + formattedString, "ColumnSpecName.parse: formattedString not in valid format"); + return of( + matchMap.get("project"), + matchMap.get("location"), + matchMap.get("dataset"), + matchMap.get("table_spec"), + matchMap.get("column_spec")); + } + + public static List parseList(List formattedStrings) { + List list = new ArrayList<>(formattedStrings.size()); + for (String formattedString : formattedStrings) { + list.add(parse(formattedString)); + } + return list; + } + + public static List toStringList(List values) { + List list = new ArrayList(values.size()); + for (ColumnSpecName value : values) { + if (value == null) { + list.add(""); + } else { + list.add(value.toString()); + } + } + return list; + } + + public static boolean isParsableFrom(String formattedString) { + return PATH_TEMPLATE.matches(formattedString); + } + + public Map getFieldValuesMap() { + if (fieldValuesMap == null) { + synchronized (this) { + if (fieldValuesMap == null) { + ImmutableMap.Builder fieldMapBuilder = ImmutableMap.builder(); + fieldMapBuilder.put("project", project); + fieldMapBuilder.put("location", location); + fieldMapBuilder.put("dataset", dataset); + fieldMapBuilder.put("tableSpec", tableSpec); + fieldMapBuilder.put("columnSpec", columnSpec); + fieldValuesMap = fieldMapBuilder.build(); + } + } + } + return fieldValuesMap; + } + + public String getFieldValue(String fieldName) { + return getFieldValuesMap().get(fieldName); + } + + @Override + public String toString() { + return PATH_TEMPLATE.instantiate( + "project", + project, + "location", + location, + "dataset", + dataset, + "table_spec", + tableSpec, + "column_spec", + columnSpec); + } + + /** Builder for ColumnSpecName. */ + public static class Builder { + + private String project; + private String location; + private String dataset; + private String tableSpec; + private String columnSpec; + + public String getProject() { + return project; + } + + public String getLocation() { + return location; + } + + public String getDataset() { + return dataset; + } + + public String getTableSpec() { + return tableSpec; + } + + public String getColumnSpec() { + return columnSpec; + } + + public Builder setProject(String project) { + this.project = project; + return this; + } + + public Builder setLocation(String location) { + this.location = location; + return this; + } + + public Builder setDataset(String dataset) { + this.dataset = dataset; + return this; + } + + public Builder setTableSpec(String tableSpec) { + this.tableSpec = tableSpec; + return this; + } + + public Builder setColumnSpec(String columnSpec) { + this.columnSpec = columnSpec; + return this; + } + + private Builder() {} + + private Builder(ColumnSpecName columnSpecName) { + project = columnSpecName.project; + location = columnSpecName.location; + dataset = columnSpecName.dataset; + tableSpec = columnSpecName.tableSpec; + columnSpec = columnSpecName.columnSpec; + } + + public ColumnSpecName build() { + return new ColumnSpecName(this); + } + } + + @Override + public boolean equals(Object o) { + if (o == this) { + return true; + } + if (o instanceof ColumnSpecName) { + ColumnSpecName that = (ColumnSpecName) o; + return (this.project.equals(that.project)) + && (this.location.equals(that.location)) + && (this.dataset.equals(that.dataset)) + && (this.tableSpec.equals(that.tableSpec)) + && (this.columnSpec.equals(that.columnSpec)); + } + return false; + } + + @Override + public int hashCode() { + int h = 1; + h *= 1000003; + h ^= project.hashCode(); + h *= 1000003; + h ^= location.hashCode(); + h *= 1000003; + h ^= dataset.hashCode(); + h *= 1000003; + h ^= tableSpec.hashCode(); + h *= 1000003; + h ^= columnSpec.hashCode(); + return h; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ColumnSpecOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ColumnSpecOrBuilder.java new file mode 100644 index 000000000..52cfc1cc2 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ColumnSpecOrBuilder.java @@ -0,0 +1,255 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/column_spec.proto + +package com.google.cloud.automl.v1beta1; + +public interface ColumnSpecOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ColumnSpec) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Output only. The resource name of the column specs.
+   * Form:
+   * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}/columnSpecs/{column_spec_id}`
+   *
+ * + * string name = 1; + * + * @return The name. + */ + java.lang.String getName(); + /** + * + * + * 
+   * Output only. The resource name of the column specs.
+   * Form:
+   * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}/columnSpecs/{column_spec_id}`
+   *
+ * + * string name = 1; + * + * @return The bytes for name. + */ + com.google.protobuf.ByteString getNameBytes(); + + /** + * + * + * 
+   * The data type of elements stored in the column.
+   *
+ * + * .google.cloud.automl.v1beta1.DataType data_type = 2; + * + * @return Whether the dataType field is set. + */ + boolean hasDataType(); + /** + * + * + * 
+   * The data type of elements stored in the column.
+   *
+ * + * .google.cloud.automl.v1beta1.DataType data_type = 2; + * + * @return The dataType. + */ + com.google.cloud.automl.v1beta1.DataType getDataType(); + /** + * + * + * 
+   * The data type of elements stored in the column.
+   *
+ * + * .google.cloud.automl.v1beta1.DataType data_type = 2; + */ + com.google.cloud.automl.v1beta1.DataTypeOrBuilder getDataTypeOrBuilder(); + + /** + * + * + * 
+   * Output only. The name of the column to show in the interface. The name can
+   * be up to 100 characters long and can consist only of ASCII Latin letters
+   * A-Z and a-z, ASCII digits 0-9, underscores(_), and forward slashes(/), and
+   * must start with a letter or a digit.
+   *
+ * + * string display_name = 3; + * + * @return The displayName. + */ + java.lang.String getDisplayName(); + /** + * + * + * 
+   * Output only. The name of the column to show in the interface. The name can
+   * be up to 100 characters long and can consist only of ASCII Latin letters
+   * A-Z and a-z, ASCII digits 0-9, underscores(_), and forward slashes(/), and
+   * must start with a letter or a digit.
+   *
+ * + * string display_name = 3; + * + * @return The bytes for displayName. + */ + com.google.protobuf.ByteString getDisplayNameBytes(); + + /** + * + * + * 
+   * Output only. Stats of the series of values in the column.
+   * This field may be stale, see the ancestor's
+   * Dataset.tables_dataset_metadata.stats_update_time field
+   * for the timestamp at which these stats were last updated.
+   *
+ * + * .google.cloud.automl.v1beta1.DataStats data_stats = 4; + * + * @return Whether the dataStats field is set. + */ + boolean hasDataStats(); + /** + * + * + * 
+   * Output only. Stats of the series of values in the column.
+   * This field may be stale, see the ancestor's
+   * Dataset.tables_dataset_metadata.stats_update_time field
+   * for the timestamp at which these stats were last updated.
+   *
+ * + * .google.cloud.automl.v1beta1.DataStats data_stats = 4; + * + * @return The dataStats. + */ + com.google.cloud.automl.v1beta1.DataStats getDataStats(); + /** + * + * + * 
+   * Output only. Stats of the series of values in the column.
+   * This field may be stale, see the ancestor's
+   * Dataset.tables_dataset_metadata.stats_update_time field
+   * for the timestamp at which these stats were last updated.
+   *
+ * + * .google.cloud.automl.v1beta1.DataStats data_stats = 4; + */ + com.google.cloud.automl.v1beta1.DataStatsOrBuilder getDataStatsOrBuilder(); + + /** + * + * + * 
+   * Deprecated.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + java.util.List + getTopCorrelatedColumnsList(); + /** + * + * + * 
+   * Deprecated.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn getTopCorrelatedColumns(int index); + /** + * + * + * 
+   * Deprecated.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + int getTopCorrelatedColumnsCount(); + /** + * + * + * 
+   * Deprecated.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + java.util.List + getTopCorrelatedColumnsOrBuilderList(); + /** + * + * + * 
+   * Deprecated.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5; + * + */ + com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumnOrBuilder + getTopCorrelatedColumnsOrBuilder(int index); + + /** + * + * + * 
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   *
+ * + * string etag = 6; + * + * @return The etag. + */ + java.lang.String getEtag(); + /** + * + * + * 
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   *
+ * + * string etag = 6; + * + * @return The bytes for etag. + */ + com.google.protobuf.ByteString getEtagBytes(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ColumnSpecOuterClass.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ColumnSpecOuterClass.java new file mode 100644 index 000000000..a8bac9cf2 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ColumnSpecOuterClass.java @@ -0,0 +1,109 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/column_spec.proto + +package com.google.cloud.automl.v1beta1; + +public final class ColumnSpecOuterClass { + private ColumnSpecOuterClass() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ColumnSpec_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ColumnSpec_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ColumnSpec_CorrelatedColumn_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ColumnSpec_CorrelatedColumn_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n-google/cloud/automl/v1beta1/column_spe" + + "c.proto\022\033google.cloud.automl.v1beta1\032\031go" + + "ogle/api/resource.proto\032,google/cloud/au" + + "toml/v1beta1/data_stats.proto\032,google/cl" + + "oud/automl/v1beta1/data_types.proto\032\034goo" + + "gle/api/annotations.proto\"\233\004\n\nColumnSpec" + + "\022\014\n\004name\030\001 \001(\t\0228\n\tdata_type\030\002 \001(\0132%.goog" + + "le.cloud.automl.v1beta1.DataType\022\024\n\014disp" + + "lay_name\030\003 \001(\t\022:\n\ndata_stats\030\004 \001(\0132&.goo" + + "gle.cloud.automl.v1beta1.DataStats\022X\n\026to" + + "p_correlated_columns\030\005 \003(\01328.google.clou" + + "d.automl.v1beta1.ColumnSpec.CorrelatedCo" + + "lumn\022\014\n\004etag\030\006 \001(\t\032t\n\020CorrelatedColumn\022\026" + + "\n\016column_spec_id\030\001 \001(\t\022H\n\021correlation_st" + + "ats\030\002 \001(\0132-.google.cloud.automl.v1beta1." + + "CorrelationStats:\224\001\352A\220\001\n automl.googleap" + + "is.com/ColumnSpec\022lprojects/{project}/lo" + + "cations/{location}/datasets/{dataset}/ta" + + "bleSpecs/{table_spec}/columnSpecs/{colum" + + "n_spec}B\245\001\n\037com.google.cloud.automl.v1be" + + "ta1P\001ZAgoogle.golang.org/genproto/google" + + "apis/cloud/automl/v1beta1;automl\312\002\033Googl" + + "e\\Cloud\\AutoMl\\V1beta1\352\002\036Google::Cloud::" + + "AutoML::V1beta1b\006proto3" + }; + descriptor = + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.api.ResourceProto.getDescriptor(), + com.google.cloud.automl.v1beta1.DataStatsOuterClass.getDescriptor(), + com.google.cloud.automl.v1beta1.DataTypes.getDescriptor(), + com.google.api.AnnotationsProto.getDescriptor(), + }); + internal_static_google_cloud_automl_v1beta1_ColumnSpec_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_ColumnSpec_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ColumnSpec_descriptor, + new java.lang.String[] { + "Name", "DataType", "DisplayName", "DataStats", "TopCorrelatedColumns", "Etag", + }); + internal_static_google_cloud_automl_v1beta1_ColumnSpec_CorrelatedColumn_descriptor = + internal_static_google_cloud_automl_v1beta1_ColumnSpec_descriptor.getNestedTypes().get(0); + internal_static_google_cloud_automl_v1beta1_ColumnSpec_CorrelatedColumn_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ColumnSpec_CorrelatedColumn_descriptor, + new java.lang.String[] { + "ColumnSpecId", "CorrelationStats", + }); + com.google.protobuf.ExtensionRegistry registry = + com.google.protobuf.ExtensionRegistry.newInstance(); + registry.add(com.google.api.ResourceProto.resource); + com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor( + descriptor, registry); + com.google.api.ResourceProto.getDescriptor(); + com.google.cloud.automl.v1beta1.DataStatsOuterClass.getDescriptor(); + com.google.cloud.automl.v1beta1.DataTypes.getDescriptor(); + com.google.api.AnnotationsProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CorrelationStats.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CorrelationStats.java new file mode 100644 index 000000000..39800ae9b --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CorrelationStats.java @@ -0,0 +1,551 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_stats.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * A correlation statistics between two series of DataType values. The series
+ * may have differing DataType-s, but within a single series the DataType must
+ * be the same.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.CorrelationStats} + */ +public final class CorrelationStats extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.CorrelationStats) + CorrelationStatsOrBuilder { + private static final long serialVersionUID = 0L; + // Use CorrelationStats.newBuilder() to construct. + private CorrelationStats(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private CorrelationStats() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new CorrelationStats(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private CorrelationStats( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 9: + { + cramersV_ = input.readDouble(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_CorrelationStats_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_CorrelationStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.CorrelationStats.class, + com.google.cloud.automl.v1beta1.CorrelationStats.Builder.class); + } + + public static final int CRAMERS_V_FIELD_NUMBER = 1; + private double cramersV_; + /** + * + * + * 
+   * The correlation value using the Cramer's V measure.
+   *
+ * + * double cramers_v = 1; + * + * @return The cramersV. + */ + public double getCramersV() { + return cramersV_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (cramersV_ != 0D) { + output.writeDouble(1, cramersV_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (cramersV_ != 0D) { + size += com.google.protobuf.CodedOutputStream.computeDoubleSize(1, cramersV_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.CorrelationStats)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.CorrelationStats other = + (com.google.cloud.automl.v1beta1.CorrelationStats) obj; + + if (java.lang.Double.doubleToLongBits(getCramersV()) + != java.lang.Double.doubleToLongBits(other.getCramersV())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + CRAMERS_V_FIELD_NUMBER; + hash = + (53 * hash) + + com.google.protobuf.Internal.hashLong( + java.lang.Double.doubleToLongBits(getCramersV())); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.CorrelationStats parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.CorrelationStats parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CorrelationStats parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.CorrelationStats parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CorrelationStats parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.CorrelationStats parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CorrelationStats parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.CorrelationStats parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CorrelationStats parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.CorrelationStats parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CorrelationStats parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.CorrelationStats parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.CorrelationStats prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * A correlation statistics between two series of DataType values. The series
+   * may have differing DataType-s, but within a single series the DataType must
+   * be the same.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.CorrelationStats} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.CorrelationStats) + com.google.cloud.automl.v1beta1.CorrelationStatsOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_CorrelationStats_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_CorrelationStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.CorrelationStats.class, + com.google.cloud.automl.v1beta1.CorrelationStats.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.CorrelationStats.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + cramersV_ = 0D; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_CorrelationStats_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.CorrelationStats getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.CorrelationStats.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.CorrelationStats build() { + com.google.cloud.automl.v1beta1.CorrelationStats result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.CorrelationStats buildPartial() { + com.google.cloud.automl.v1beta1.CorrelationStats result = + new com.google.cloud.automl.v1beta1.CorrelationStats(this); + result.cramersV_ = cramersV_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.CorrelationStats) { + return mergeFrom((com.google.cloud.automl.v1beta1.CorrelationStats) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.CorrelationStats other) { + if (other == com.google.cloud.automl.v1beta1.CorrelationStats.getDefaultInstance()) + return this; + if (other.getCramersV() != 0D) { + setCramersV(other.getCramersV()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.CorrelationStats parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.CorrelationStats) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private double cramersV_; + /** + * + * + * 
+     * The correlation value using the Cramer's V measure.
+     *
+ * + * double cramers_v = 1; + * + * @return The cramersV. + */ + public double getCramersV() { + return cramersV_; + } + /** + * + * + * 
+     * The correlation value using the Cramer's V measure.
+     *
+ * + * double cramers_v = 1; + * + * @param value The cramersV to set. + * @return This builder for chaining. + */ + public Builder setCramersV(double value) { + + cramersV_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * The correlation value using the Cramer's V measure.
+     *
+ * + * double cramers_v = 1; + * + * @return This builder for chaining. + */ + public Builder clearCramersV() { + + cramersV_ = 0D; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.CorrelationStats) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.CorrelationStats) + private static final com.google.cloud.automl.v1beta1.CorrelationStats DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.CorrelationStats(); + } + + public static com.google.cloud.automl.v1beta1.CorrelationStats getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public CorrelationStats parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new CorrelationStats(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.CorrelationStats getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CorrelationStatsOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CorrelationStatsOrBuilder.java new file mode 100644 index 000000000..edca46515 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CorrelationStatsOrBuilder.java @@ -0,0 +1,38 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_stats.proto + +package com.google.cloud.automl.v1beta1; + +public interface CorrelationStatsOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.CorrelationStats) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * The correlation value using the Cramer's V measure.
+   *
+ * + * double cramers_v = 1; + * + * @return The cramersV. + */ + double getCramersV(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateDatasetRequest.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateDatasetRequest.java new file mode 100644 index 000000000..5256cbe2e --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateDatasetRequest.java @@ -0,0 +1,946 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [AutoMl.CreateDataset][google.cloud.automl.v1beta1.AutoMl.CreateDataset].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.CreateDatasetRequest} + */ +public final class CreateDatasetRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.CreateDatasetRequest) + CreateDatasetRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use CreateDatasetRequest.newBuilder() to construct. + private CreateDatasetRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private CreateDatasetRequest() { + parent_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new CreateDatasetRequest(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private CreateDatasetRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + parent_ = s; + break; + } + case 18: + { + com.google.cloud.automl.v1beta1.Dataset.Builder subBuilder = null; + if (dataset_ != null) { + subBuilder = dataset_.toBuilder(); + } + dataset_ = + input.readMessage( + com.google.cloud.automl.v1beta1.Dataset.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(dataset_); + dataset_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_CreateDatasetRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_CreateDatasetRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.CreateDatasetRequest.class, + com.google.cloud.automl.v1beta1.CreateDatasetRequest.Builder.class); + } + + public static final int PARENT_FIELD_NUMBER = 1; + private volatile java.lang.Object parent_; + /** + * + * + * 
+   * Required. The resource name of the project to create the dataset for.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The parent. + */ + public java.lang.String getParent() { + java.lang.Object ref = parent_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + parent_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. The resource name of the project to create the dataset for.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for parent. + */ + public com.google.protobuf.ByteString getParentBytes() { + java.lang.Object ref = parent_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + parent_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int DATASET_FIELD_NUMBER = 2; + private com.google.cloud.automl.v1beta1.Dataset dataset_; + /** + * + * + * 
+   * Required. The dataset to create.
+   *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the dataset field is set. + */ + public boolean hasDataset() { + return dataset_ != null; + } + /** + * + * + * 
+   * Required. The dataset to create.
+   *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The dataset. + */ + public com.google.cloud.automl.v1beta1.Dataset getDataset() { + return dataset_ == null + ? com.google.cloud.automl.v1beta1.Dataset.getDefaultInstance() + : dataset_; + } + /** + * + * + * 
+   * Required. The dataset to create.
+   *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.DatasetOrBuilder getDatasetOrBuilder() { + return getDataset(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getParentBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, parent_); + } + if (dataset_ != null) { + output.writeMessage(2, getDataset()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getParentBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, parent_); + } + if (dataset_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getDataset()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.CreateDatasetRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.CreateDatasetRequest other = + (com.google.cloud.automl.v1beta1.CreateDatasetRequest) obj; + + if (!getParent().equals(other.getParent())) return false; + if (hasDataset() != other.hasDataset()) return false; + if (hasDataset()) { + if (!getDataset().equals(other.getDataset())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + PARENT_FIELD_NUMBER; + hash = (53 * hash) + getParent().hashCode(); + if (hasDataset()) { + hash = (37 * hash) + DATASET_FIELD_NUMBER; + hash = (53 * hash) + getDataset().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.CreateDatasetRequest parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.CreateDatasetRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CreateDatasetRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.CreateDatasetRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CreateDatasetRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.CreateDatasetRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CreateDatasetRequest parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.CreateDatasetRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CreateDatasetRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.CreateDatasetRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CreateDatasetRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.CreateDatasetRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.CreateDatasetRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [AutoMl.CreateDataset][google.cloud.automl.v1beta1.AutoMl.CreateDataset].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.CreateDatasetRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.CreateDatasetRequest) + com.google.cloud.automl.v1beta1.CreateDatasetRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_CreateDatasetRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_CreateDatasetRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.CreateDatasetRequest.class, + com.google.cloud.automl.v1beta1.CreateDatasetRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.CreateDatasetRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + parent_ = ""; + + if (datasetBuilder_ == null) { + dataset_ = null; + } else { + dataset_ = null; + datasetBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_CreateDatasetRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.CreateDatasetRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.CreateDatasetRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.CreateDatasetRequest build() { + com.google.cloud.automl.v1beta1.CreateDatasetRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.CreateDatasetRequest buildPartial() { + com.google.cloud.automl.v1beta1.CreateDatasetRequest result = + new com.google.cloud.automl.v1beta1.CreateDatasetRequest(this); + result.parent_ = parent_; + if (datasetBuilder_ == null) { + result.dataset_ = dataset_; + } else { + result.dataset_ = datasetBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.CreateDatasetRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.CreateDatasetRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.CreateDatasetRequest other) { + if (other == com.google.cloud.automl.v1beta1.CreateDatasetRequest.getDefaultInstance()) + return this; + if (!other.getParent().isEmpty()) { + parent_ = other.parent_; + onChanged(); + } + if (other.hasDataset()) { + mergeDataset(other.getDataset()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.CreateDatasetRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.CreateDatasetRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object parent_ = ""; + /** + * + * + * 
+     * Required. The resource name of the project to create the dataset for.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The parent. + */ + public java.lang.String getParent() { + java.lang.Object ref = parent_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + parent_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. The resource name of the project to create the dataset for.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for parent. + */ + public com.google.protobuf.ByteString getParentBytes() { + java.lang.Object ref = parent_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + parent_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. The resource name of the project to create the dataset for.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The parent to set. + * @return This builder for chaining. + */ + public Builder setParent(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + parent_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The resource name of the project to create the dataset for.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return This builder for chaining. + */ + public Builder clearParent() { + + parent_ = getDefaultInstance().getParent(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The resource name of the project to create the dataset for.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The bytes for parent to set. + * @return This builder for chaining. + */ + public Builder setParentBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + parent_ = value; + onChanged(); + return this; + } + + private com.google.cloud.automl.v1beta1.Dataset dataset_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.Dataset, + com.google.cloud.automl.v1beta1.Dataset.Builder, + com.google.cloud.automl.v1beta1.DatasetOrBuilder> + datasetBuilder_; + /** + * + * + * 
+     * Required. The dataset to create.
+     *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the dataset field is set. + */ + public boolean hasDataset() { + return datasetBuilder_ != null || dataset_ != null; + } + /** + * + * + * 
+     * Required. The dataset to create.
+     *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The dataset. + */ + public com.google.cloud.automl.v1beta1.Dataset getDataset() { + if (datasetBuilder_ == null) { + return dataset_ == null + ? com.google.cloud.automl.v1beta1.Dataset.getDefaultInstance() + : dataset_; + } else { + return datasetBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Required. The dataset to create.
+     *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder setDataset(com.google.cloud.automl.v1beta1.Dataset value) { + if (datasetBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + dataset_ = value; + onChanged(); + } else { + datasetBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Required. The dataset to create.
+     *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder setDataset(com.google.cloud.automl.v1beta1.Dataset.Builder builderForValue) { + if (datasetBuilder_ == null) { + dataset_ = builderForValue.build(); + onChanged(); + } else { + datasetBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Required. The dataset to create.
+     *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder mergeDataset(com.google.cloud.automl.v1beta1.Dataset value) { + if (datasetBuilder_ == null) { + if (dataset_ != null) { + dataset_ = + com.google.cloud.automl.v1beta1.Dataset.newBuilder(dataset_) + .mergeFrom(value) + .buildPartial(); + } else { + dataset_ = value; + } + onChanged(); + } else { + datasetBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Required. The dataset to create.
+     *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder clearDataset() { + if (datasetBuilder_ == null) { + dataset_ = null; + onChanged(); + } else { + dataset_ = null; + datasetBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Required. The dataset to create.
+     *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.Dataset.Builder getDatasetBuilder() { + + onChanged(); + return getDatasetFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Required. The dataset to create.
+     *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.DatasetOrBuilder getDatasetOrBuilder() { + if (datasetBuilder_ != null) { + return datasetBuilder_.getMessageOrBuilder(); + } else { + return dataset_ == null + ? com.google.cloud.automl.v1beta1.Dataset.getDefaultInstance() + : dataset_; + } + } + /** + * + * + * 
+     * Required. The dataset to create.
+     *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED]; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.Dataset, + com.google.cloud.automl.v1beta1.Dataset.Builder, + com.google.cloud.automl.v1beta1.DatasetOrBuilder> + getDatasetFieldBuilder() { + if (datasetBuilder_ == null) { + datasetBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.Dataset, + com.google.cloud.automl.v1beta1.Dataset.Builder, + com.google.cloud.automl.v1beta1.DatasetOrBuilder>( + getDataset(), getParentForChildren(), isClean()); + dataset_ = null; + } + return datasetBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.CreateDatasetRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.CreateDatasetRequest) + private static final com.google.cloud.automl.v1beta1.CreateDatasetRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.CreateDatasetRequest(); + } + + public static com.google.cloud.automl.v1beta1.CreateDatasetRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public CreateDatasetRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new CreateDatasetRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.CreateDatasetRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateDatasetRequestOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateDatasetRequestOrBuilder.java new file mode 100644 index 000000000..bad2a23f5 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateDatasetRequestOrBuilder.java @@ -0,0 +1,95 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface CreateDatasetRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.CreateDatasetRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. The resource name of the project to create the dataset for.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The parent. + */ + java.lang.String getParent(); + /** + * + * + * 
+   * Required. The resource name of the project to create the dataset for.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for parent. + */ + com.google.protobuf.ByteString getParentBytes(); + + /** + * + * + * 
+   * Required. The dataset to create.
+   *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the dataset field is set. + */ + boolean hasDataset(); + /** + * + * + * 
+   * Required. The dataset to create.
+   *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The dataset. + */ + com.google.cloud.automl.v1beta1.Dataset getDataset(); + /** + * + * + * 
+   * Required. The dataset to create.
+   *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED]; + * + */ + com.google.cloud.automl.v1beta1.DatasetOrBuilder getDatasetOrBuilder(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateModelOperationMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateModelOperationMetadata.java new file mode 100644 index 000000000..35d5be3d2 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateModelOperationMetadata.java @@ -0,0 +1,460 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/operations.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Details of CreateModel operation.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.CreateModelOperationMetadata} + */ +public final class CreateModelOperationMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.CreateModelOperationMetadata) + CreateModelOperationMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use CreateModelOperationMetadata.newBuilder() to construct. + private CreateModelOperationMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private CreateModelOperationMetadata() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new CreateModelOperationMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private CreateModelOperationMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_CreateModelOperationMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_CreateModelOperationMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.class, + com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.Builder.class); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.CreateModelOperationMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.CreateModelOperationMetadata other = + (com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) obj; + + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.CreateModelOperationMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.CreateModelOperationMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CreateModelOperationMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.CreateModelOperationMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CreateModelOperationMetadata parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.CreateModelOperationMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CreateModelOperationMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.CreateModelOperationMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CreateModelOperationMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.CreateModelOperationMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CreateModelOperationMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.CreateModelOperationMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.CreateModelOperationMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Details of CreateModel operation.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.CreateModelOperationMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.CreateModelOperationMetadata) + com.google.cloud.automl.v1beta1.CreateModelOperationMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_CreateModelOperationMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_CreateModelOperationMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.class, + com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_CreateModelOperationMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.CreateModelOperationMetadata + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.CreateModelOperationMetadata build() { + com.google.cloud.automl.v1beta1.CreateModelOperationMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.CreateModelOperationMetadata buildPartial() { + com.google.cloud.automl.v1beta1.CreateModelOperationMetadata result = + new com.google.cloud.automl.v1beta1.CreateModelOperationMetadata(this); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.CreateModelOperationMetadata other) { + if (other + == com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.getDefaultInstance()) + return this; + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.CreateModelOperationMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.CreateModelOperationMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.CreateModelOperationMetadata) + private static final com.google.cloud.automl.v1beta1.CreateModelOperationMetadata + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.CreateModelOperationMetadata(); + } + + public static com.google.cloud.automl.v1beta1.CreateModelOperationMetadata getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public CreateModelOperationMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new CreateModelOperationMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.CreateModelOperationMetadata getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateModelOperationMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateModelOperationMetadataOrBuilder.java new file mode 100644 index 000000000..6887f797e --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateModelOperationMetadataOrBuilder.java @@ -0,0 +1,24 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/operations.proto + +package com.google.cloud.automl.v1beta1; + +public interface CreateModelOperationMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.CreateModelOperationMetadata) + com.google.protobuf.MessageOrBuilder {} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateModelRequest.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateModelRequest.java new file mode 100644 index 000000000..e8d6f2ec7 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateModelRequest.java @@ -0,0 +1,928 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [AutoMl.CreateModel][google.cloud.automl.v1beta1.AutoMl.CreateModel].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.CreateModelRequest} + */ +public final class CreateModelRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.CreateModelRequest) + CreateModelRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use CreateModelRequest.newBuilder() to construct. + private CreateModelRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private CreateModelRequest() { + parent_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new CreateModelRequest(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private CreateModelRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + parent_ = s; + break; + } + case 34: + { + com.google.cloud.automl.v1beta1.Model.Builder subBuilder = null; + if (model_ != null) { + subBuilder = model_.toBuilder(); + } + model_ = + input.readMessage( + com.google.cloud.automl.v1beta1.Model.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(model_); + model_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_CreateModelRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_CreateModelRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.CreateModelRequest.class, + com.google.cloud.automl.v1beta1.CreateModelRequest.Builder.class); + } + + public static final int PARENT_FIELD_NUMBER = 1; + private volatile java.lang.Object parent_; + /** + * + * + * 
+   * Required. Resource name of the parent project where the model is being created.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The parent. + */ + public java.lang.String getParent() { + java.lang.Object ref = parent_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + parent_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. Resource name of the parent project where the model is being created.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for parent. + */ + public com.google.protobuf.ByteString getParentBytes() { + java.lang.Object ref = parent_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + parent_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int MODEL_FIELD_NUMBER = 4; + private com.google.cloud.automl.v1beta1.Model model_; + /** + * + * + * 
+   * Required. The model to create.
+   *
+ * + * .google.cloud.automl.v1beta1.Model model = 4 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the model field is set. + */ + public boolean hasModel() { + return model_ != null; + } + /** + * + * + * 
+   * Required. The model to create.
+   *
+ * + * .google.cloud.automl.v1beta1.Model model = 4 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The model. + */ + public com.google.cloud.automl.v1beta1.Model getModel() { + return model_ == null ? com.google.cloud.automl.v1beta1.Model.getDefaultInstance() : model_; + } + /** + * + * + * 
+   * Required. The model to create.
+   *
+ * + * .google.cloud.automl.v1beta1.Model model = 4 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.ModelOrBuilder getModelOrBuilder() { + return getModel(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getParentBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, parent_); + } + if (model_ != null) { + output.writeMessage(4, getModel()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getParentBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, parent_); + } + if (model_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, getModel()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.CreateModelRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.CreateModelRequest other = + (com.google.cloud.automl.v1beta1.CreateModelRequest) obj; + + if (!getParent().equals(other.getParent())) return false; + if (hasModel() != other.hasModel()) return false; + if (hasModel()) { + if (!getModel().equals(other.getModel())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + PARENT_FIELD_NUMBER; + hash = (53 * hash) + getParent().hashCode(); + if (hasModel()) { + hash = (37 * hash) + MODEL_FIELD_NUMBER; + hash = (53 * hash) + getModel().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.CreateModelRequest parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.CreateModelRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CreateModelRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.CreateModelRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CreateModelRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.CreateModelRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CreateModelRequest parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.CreateModelRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CreateModelRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.CreateModelRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.CreateModelRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.CreateModelRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.CreateModelRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [AutoMl.CreateModel][google.cloud.automl.v1beta1.AutoMl.CreateModel].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.CreateModelRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.CreateModelRequest) + com.google.cloud.automl.v1beta1.CreateModelRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_CreateModelRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_CreateModelRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.CreateModelRequest.class, + com.google.cloud.automl.v1beta1.CreateModelRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.CreateModelRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + parent_ = ""; + + if (modelBuilder_ == null) { + model_ = null; + } else { + model_ = null; + modelBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_CreateModelRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.CreateModelRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.CreateModelRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.CreateModelRequest build() { + com.google.cloud.automl.v1beta1.CreateModelRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.CreateModelRequest buildPartial() { + com.google.cloud.automl.v1beta1.CreateModelRequest result = + new com.google.cloud.automl.v1beta1.CreateModelRequest(this); + result.parent_ = parent_; + if (modelBuilder_ == null) { + result.model_ = model_; + } else { + result.model_ = modelBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.CreateModelRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.CreateModelRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.CreateModelRequest other) { + if (other == com.google.cloud.automl.v1beta1.CreateModelRequest.getDefaultInstance()) + return this; + if (!other.getParent().isEmpty()) { + parent_ = other.parent_; + onChanged(); + } + if (other.hasModel()) { + mergeModel(other.getModel()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.CreateModelRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.CreateModelRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object parent_ = ""; + /** + * + * + * 
+     * Required. Resource name of the parent project where the model is being created.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The parent. + */ + public java.lang.String getParent() { + java.lang.Object ref = parent_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + parent_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. Resource name of the parent project where the model is being created.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for parent. + */ + public com.google.protobuf.ByteString getParentBytes() { + java.lang.Object ref = parent_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + parent_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. Resource name of the parent project where the model is being created.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The parent to set. + * @return This builder for chaining. + */ + public Builder setParent(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + parent_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Resource name of the parent project where the model is being created.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return This builder for chaining. + */ + public Builder clearParent() { + + parent_ = getDefaultInstance().getParent(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Resource name of the parent project where the model is being created.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The bytes for parent to set. + * @return This builder for chaining. + */ + public Builder setParentBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + parent_ = value; + onChanged(); + return this; + } + + private com.google.cloud.automl.v1beta1.Model model_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.Model, + com.google.cloud.automl.v1beta1.Model.Builder, + com.google.cloud.automl.v1beta1.ModelOrBuilder> + modelBuilder_; + /** + * + * + * 
+     * Required. The model to create.
+     *
+ * + * .google.cloud.automl.v1beta1.Model model = 4 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the model field is set. + */ + public boolean hasModel() { + return modelBuilder_ != null || model_ != null; + } + /** + * + * + * 
+     * Required. The model to create.
+     *
+ * + * .google.cloud.automl.v1beta1.Model model = 4 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The model. + */ + public com.google.cloud.automl.v1beta1.Model getModel() { + if (modelBuilder_ == null) { + return model_ == null ? com.google.cloud.automl.v1beta1.Model.getDefaultInstance() : model_; + } else { + return modelBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Required. The model to create.
+     *
+ * + * .google.cloud.automl.v1beta1.Model model = 4 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder setModel(com.google.cloud.automl.v1beta1.Model value) { + if (modelBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + model_ = value; + onChanged(); + } else { + modelBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Required. The model to create.
+     *
+ * + * .google.cloud.automl.v1beta1.Model model = 4 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder setModel(com.google.cloud.automl.v1beta1.Model.Builder builderForValue) { + if (modelBuilder_ == null) { + model_ = builderForValue.build(); + onChanged(); + } else { + modelBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Required. The model to create.
+     *
+ * + * .google.cloud.automl.v1beta1.Model model = 4 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder mergeModel(com.google.cloud.automl.v1beta1.Model value) { + if (modelBuilder_ == null) { + if (model_ != null) { + model_ = + com.google.cloud.automl.v1beta1.Model.newBuilder(model_) + .mergeFrom(value) + .buildPartial(); + } else { + model_ = value; + } + onChanged(); + } else { + modelBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Required. The model to create.
+     *
+ * + * .google.cloud.automl.v1beta1.Model model = 4 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder clearModel() { + if (modelBuilder_ == null) { + model_ = null; + onChanged(); + } else { + model_ = null; + modelBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Required. The model to create.
+     *
+ * + * .google.cloud.automl.v1beta1.Model model = 4 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.Model.Builder getModelBuilder() { + + onChanged(); + return getModelFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Required. The model to create.
+     *
+ * + * .google.cloud.automl.v1beta1.Model model = 4 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.ModelOrBuilder getModelOrBuilder() { + if (modelBuilder_ != null) { + return modelBuilder_.getMessageOrBuilder(); + } else { + return model_ == null ? com.google.cloud.automl.v1beta1.Model.getDefaultInstance() : model_; + } + } + /** + * + * + * 
+     * Required. The model to create.
+     *
+ * + * .google.cloud.automl.v1beta1.Model model = 4 [(.google.api.field_behavior) = REQUIRED]; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.Model, + com.google.cloud.automl.v1beta1.Model.Builder, + com.google.cloud.automl.v1beta1.ModelOrBuilder> + getModelFieldBuilder() { + if (modelBuilder_ == null) { + modelBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.Model, + com.google.cloud.automl.v1beta1.Model.Builder, + com.google.cloud.automl.v1beta1.ModelOrBuilder>( + getModel(), getParentForChildren(), isClean()); + model_ = null; + } + return modelBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.CreateModelRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.CreateModelRequest) + private static final com.google.cloud.automl.v1beta1.CreateModelRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.CreateModelRequest(); + } + + public static com.google.cloud.automl.v1beta1.CreateModelRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public CreateModelRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new CreateModelRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.CreateModelRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateModelRequestOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateModelRequestOrBuilder.java new file mode 100644 index 000000000..ac81a5dc9 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateModelRequestOrBuilder.java @@ -0,0 +1,92 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface CreateModelRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.CreateModelRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. Resource name of the parent project where the model is being created.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The parent. + */ + java.lang.String getParent(); + /** + * + * + * 
+   * Required. Resource name of the parent project where the model is being created.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for parent. + */ + com.google.protobuf.ByteString getParentBytes(); + + /** + * + * + * 
+   * Required. The model to create.
+   *
+ * + * .google.cloud.automl.v1beta1.Model model = 4 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the model field is set. + */ + boolean hasModel(); + /** + * + * + * 
+   * Required. The model to create.
+   *
+ * + * .google.cloud.automl.v1beta1.Model model = 4 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The model. + */ + com.google.cloud.automl.v1beta1.Model getModel(); + /** + * + * + * 
+   * Required. The model to create.
+   *
+ * + * .google.cloud.automl.v1beta1.Model model = 4 [(.google.api.field_behavior) = REQUIRED]; + * + */ + com.google.cloud.automl.v1beta1.ModelOrBuilder getModelOrBuilder(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataItems.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataItems.java new file mode 100644 index 000000000..6a543997e --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataItems.java @@ -0,0 +1,200 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_items.proto + +package com.google.cloud.automl.v1beta1; + +public final class DataItems { + private DataItems() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_Image_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_Image_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TextSnippet_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TextSnippet_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_DocumentDimensions_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_DocumentDimensions_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_Document_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_Document_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_Document_Layout_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_Document_Layout_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_Row_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_Row_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ExamplePayload_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ExamplePayload_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n,google/cloud/automl/v1beta1/data_items" + + ".proto\022\033google.cloud.automl.v1beta1\032*goo" + + "gle/cloud/automl/v1beta1/geometry.proto\032" + + "$google/cloud/automl/v1beta1/io.proto\032*g" + + "oogle/cloud/automl/v1beta1/temporal.prot" + + "o\032.google/cloud/automl/v1beta1/text_segm" + + "ent.proto\032\031google/protobuf/any.proto\032\036go" + + "ogle/protobuf/duration.proto\032\034google/pro" + + "tobuf/struct.proto\032\034google/api/annotatio" + + "ns.proto\"\177\n\005Image\022\025\n\013image_bytes\030\001 \001(\014H\000" + + "\022@\n\014input_config\030\006 \001(\0132(.google.cloud.au" + + "toml.v1beta1.InputConfigH\000\022\025\n\rthumbnail_" + + "uri\030\004 \001(\tB\006\n\004data\"F\n\013TextSnippet\022\017\n\007cont" + + "ent\030\001 \001(\t\022\021\n\tmime_type\030\002 \001(\t\022\023\n\013content_" + + "uri\030\004 \001(\t\"\357\001\n\022DocumentDimensions\022S\n\004unit" + + "\030\001 \001(\0162E.google.cloud.automl.v1beta1.Doc" + + "umentDimensions.DocumentDimensionUnit\022\r\n" + + "\005width\030\002 \001(\002\022\016\n\006height\030\003 \001(\002\"e\n\025Document" + + "DimensionUnit\022\'\n#DOCUMENT_DIMENSION_UNIT" + + "_UNSPECIFIED\020\000\022\010\n\004INCH\020\001\022\016\n\nCENTIMETER\020\002" + + "\022\t\n\005POINT\020\003\"\371\005\n\010Document\022F\n\014input_config" + + "\030\001 \001(\01320.google.cloud.automl.v1beta1.Doc" + + "umentInputConfig\022?\n\rdocument_text\030\002 \001(\0132" + + "(.google.cloud.automl.v1beta1.TextSnippe" + + "t\022<\n\006layout\030\003 \003(\0132,.google.cloud.automl." + + "v1beta1.Document.Layout\022L\n\023document_dime" + + "nsions\030\004 \001(\0132/.google.cloud.automl.v1bet" + + "a1.DocumentDimensions\022\022\n\npage_count\030\005 \001(" + + "\005\032\303\003\n\006Layout\022>\n\014text_segment\030\001 \001(\0132(.goo" + + "gle.cloud.automl.v1beta1.TextSegment\022\023\n\013" + + "page_number\030\002 \001(\005\022@\n\rbounding_poly\030\003 \001(\013" + + "2).google.cloud.automl.v1beta1.BoundingP" + + "oly\022W\n\021text_segment_type\030\004 \001(\0162<.google." + + "cloud.automl.v1beta1.Document.Layout.Tex" + + "tSegmentType\"\310\001\n\017TextSegmentType\022!\n\035TEXT" + + "_SEGMENT_TYPE_UNSPECIFIED\020\000\022\t\n\005TOKEN\020\001\022\r" + + "\n\tPARAGRAPH\020\002\022\016\n\nFORM_FIELD\020\003\022\023\n\017FORM_FI" + + "ELD_NAME\020\004\022\027\n\023FORM_FIELD_CONTENTS\020\005\022\t\n\005T" + + "ABLE\020\006\022\020\n\014TABLE_HEADER\020\007\022\r\n\tTABLE_ROW\020\010\022" + + "\016\n\nTABLE_CELL\020\t\"F\n\003Row\022\027\n\017column_spec_id" + + "s\030\002 \003(\t\022&\n\006values\030\003 \003(\0132\026.google.protobu" + + "f.Value\"\376\001\n\016ExamplePayload\0223\n\005image\030\001 \001(" + + "\0132\".google.cloud.automl.v1beta1.ImageH\000\022" + + "@\n\014text_snippet\030\002 \001(\0132(.google.cloud.aut" + + "oml.v1beta1.TextSnippetH\000\0229\n\010document\030\004 " + + "\001(\0132%.google.cloud.automl.v1beta1.Docume" + + "ntH\000\022/\n\003row\030\003 \001(\0132 .google.cloud.automl." + + "v1beta1.RowH\000B\t\n\007payloadB\245\001\n\037com.google." + + "cloud.automl.v1beta1P\001ZAgoogle.golang.or" + + "g/genproto/googleapis/cloud/automl/v1bet" + + "a1;automl\312\002\033Google\\Cloud\\AutoMl\\V1beta1\352" + + "\002\036Google::Cloud::AutoML::V1beta1b\006proto3" + }; + descriptor = + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.cloud.automl.v1beta1.Geometry.getDescriptor(), + com.google.cloud.automl.v1beta1.Io.getDescriptor(), + com.google.cloud.automl.v1beta1.Temporal.getDescriptor(), + com.google.cloud.automl.v1beta1.TextSegmentProto.getDescriptor(), + com.google.protobuf.AnyProto.getDescriptor(), + com.google.protobuf.DurationProto.getDescriptor(), + com.google.protobuf.StructProto.getDescriptor(), + com.google.api.AnnotationsProto.getDescriptor(), + }); + internal_static_google_cloud_automl_v1beta1_Image_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_Image_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_Image_descriptor, + new java.lang.String[] { + "ImageBytes", "InputConfig", "ThumbnailUri", "Data", + }); + internal_static_google_cloud_automl_v1beta1_TextSnippet_descriptor = + getDescriptor().getMessageTypes().get(1); + internal_static_google_cloud_automl_v1beta1_TextSnippet_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TextSnippet_descriptor, + new java.lang.String[] { + "Content", "MimeType", "ContentUri", + }); + internal_static_google_cloud_automl_v1beta1_DocumentDimensions_descriptor = + getDescriptor().getMessageTypes().get(2); + internal_static_google_cloud_automl_v1beta1_DocumentDimensions_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_DocumentDimensions_descriptor, + new java.lang.String[] { + "Unit", "Width", "Height", + }); + internal_static_google_cloud_automl_v1beta1_Document_descriptor = + getDescriptor().getMessageTypes().get(3); + internal_static_google_cloud_automl_v1beta1_Document_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_Document_descriptor, + new java.lang.String[] { + "InputConfig", "DocumentText", "Layout", "DocumentDimensions", "PageCount", + }); + internal_static_google_cloud_automl_v1beta1_Document_Layout_descriptor = + internal_static_google_cloud_automl_v1beta1_Document_descriptor.getNestedTypes().get(0); + internal_static_google_cloud_automl_v1beta1_Document_Layout_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_Document_Layout_descriptor, + new java.lang.String[] { + "TextSegment", "PageNumber", "BoundingPoly", "TextSegmentType", + }); + internal_static_google_cloud_automl_v1beta1_Row_descriptor = + getDescriptor().getMessageTypes().get(4); + internal_static_google_cloud_automl_v1beta1_Row_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_Row_descriptor, + new java.lang.String[] { + "ColumnSpecIds", "Values", + }); + internal_static_google_cloud_automl_v1beta1_ExamplePayload_descriptor = + getDescriptor().getMessageTypes().get(5); + internal_static_google_cloud_automl_v1beta1_ExamplePayload_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ExamplePayload_descriptor, + new java.lang.String[] { + "Image", "TextSnippet", "Document", "Row", "Payload", + }); + com.google.cloud.automl.v1beta1.Geometry.getDescriptor(); + com.google.cloud.automl.v1beta1.Io.getDescriptor(); + com.google.cloud.automl.v1beta1.Temporal.getDescriptor(); + com.google.cloud.automl.v1beta1.TextSegmentProto.getDescriptor(); + com.google.protobuf.AnyProto.getDescriptor(); + com.google.protobuf.DurationProto.getDescriptor(); + com.google.protobuf.StructProto.getDescriptor(); + com.google.api.AnnotationsProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataStats.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataStats.java new file mode 100644 index 000000000..e939ce02b --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataStats.java @@ -0,0 +1,2591 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_stats.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * The data statistics of a series of values that share the same DataType.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.DataStats} + */ +public final class DataStats extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.DataStats) + DataStatsOrBuilder { + private static final long serialVersionUID = 0L; + // Use DataStats.newBuilder() to construct. + private DataStats(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private DataStats() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new DataStats(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private DataStats( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 8: + { + distinctValueCount_ = input.readInt64(); + break; + } + case 16: + { + nullValueCount_ = input.readInt64(); + break; + } + case 26: + { + com.google.cloud.automl.v1beta1.Float64Stats.Builder subBuilder = null; + if (statsCase_ == 3) { + subBuilder = ((com.google.cloud.automl.v1beta1.Float64Stats) stats_).toBuilder(); + } + stats_ = + input.readMessage( + com.google.cloud.automl.v1beta1.Float64Stats.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.Float64Stats) stats_); + stats_ = subBuilder.buildPartial(); + } + statsCase_ = 3; + break; + } + case 34: + { + com.google.cloud.automl.v1beta1.StringStats.Builder subBuilder = null; + if (statsCase_ == 4) { + subBuilder = ((com.google.cloud.automl.v1beta1.StringStats) stats_).toBuilder(); + } + stats_ = + input.readMessage( + com.google.cloud.automl.v1beta1.StringStats.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.StringStats) stats_); + stats_ = subBuilder.buildPartial(); + } + statsCase_ = 4; + break; + } + case 42: + { + com.google.cloud.automl.v1beta1.TimestampStats.Builder subBuilder = null; + if (statsCase_ == 5) { + subBuilder = ((com.google.cloud.automl.v1beta1.TimestampStats) stats_).toBuilder(); + } + stats_ = + input.readMessage( + com.google.cloud.automl.v1beta1.TimestampStats.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.TimestampStats) stats_); + stats_ = subBuilder.buildPartial(); + } + statsCase_ = 5; + break; + } + case 50: + { + com.google.cloud.automl.v1beta1.ArrayStats.Builder subBuilder = null; + if (statsCase_ == 6) { + subBuilder = ((com.google.cloud.automl.v1beta1.ArrayStats) stats_).toBuilder(); + } + stats_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ArrayStats.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.ArrayStats) stats_); + stats_ = subBuilder.buildPartial(); + } + statsCase_ = 6; + break; + } + case 58: + { + com.google.cloud.automl.v1beta1.StructStats.Builder subBuilder = null; + if (statsCase_ == 7) { + subBuilder = ((com.google.cloud.automl.v1beta1.StructStats) stats_).toBuilder(); + } + stats_ = + input.readMessage( + com.google.cloud.automl.v1beta1.StructStats.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.StructStats) stats_); + stats_ = subBuilder.buildPartial(); + } + statsCase_ = 7; + break; + } + case 66: + { + com.google.cloud.automl.v1beta1.CategoryStats.Builder subBuilder = null; + if (statsCase_ == 8) { + subBuilder = ((com.google.cloud.automl.v1beta1.CategoryStats) stats_).toBuilder(); + } + stats_ = + input.readMessage( + com.google.cloud.automl.v1beta1.CategoryStats.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.CategoryStats) stats_); + stats_ = subBuilder.buildPartial(); + } + statsCase_ = 8; + break; + } + case 72: + { + validValueCount_ = input.readInt64(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_DataStats_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_DataStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.DataStats.class, + com.google.cloud.automl.v1beta1.DataStats.Builder.class); + } + + private int statsCase_ = 0; + private java.lang.Object stats_; + + public enum StatsCase + implements + com.google.protobuf.Internal.EnumLite, + com.google.protobuf.AbstractMessage.InternalOneOfEnum { + FLOAT64_STATS(3), + STRING_STATS(4), + TIMESTAMP_STATS(5), + ARRAY_STATS(6), + STRUCT_STATS(7), + CATEGORY_STATS(8), + STATS_NOT_SET(0); + private final int value; + + private StatsCase(int value) { + this.value = value; + } + /** + * @param value The number of the enum to look for. + * @return The enum associated with the given number. + * @deprecated Use {@link #forNumber(int)} instead. + */ + @java.lang.Deprecated + public static StatsCase valueOf(int value) { + return forNumber(value); + } + + public static StatsCase forNumber(int value) { + switch (value) { + case 3: + return FLOAT64_STATS; + case 4: + return STRING_STATS; + case 5: + return TIMESTAMP_STATS; + case 6: + return ARRAY_STATS; + case 7: + return STRUCT_STATS; + case 8: + return CATEGORY_STATS; + case 0: + return STATS_NOT_SET; + default: + return null; + } + } + + public int getNumber() { + return this.value; + } + }; + + public StatsCase getStatsCase() { + return StatsCase.forNumber(statsCase_); + } + + public static final int FLOAT64_STATS_FIELD_NUMBER = 3; + /** + * + * + * 
+   * The statistics for FLOAT64 DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3; + * + * @return Whether the float64Stats field is set. + */ + public boolean hasFloat64Stats() { + return statsCase_ == 3; + } + /** + * + * + * 
+   * The statistics for FLOAT64 DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3; + * + * @return The float64Stats. + */ + public com.google.cloud.automl.v1beta1.Float64Stats getFloat64Stats() { + if (statsCase_ == 3) { + return (com.google.cloud.automl.v1beta1.Float64Stats) stats_; + } + return com.google.cloud.automl.v1beta1.Float64Stats.getDefaultInstance(); + } + /** + * + * + * 
+   * The statistics for FLOAT64 DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3; + */ + public com.google.cloud.automl.v1beta1.Float64StatsOrBuilder getFloat64StatsOrBuilder() { + if (statsCase_ == 3) { + return (com.google.cloud.automl.v1beta1.Float64Stats) stats_; + } + return com.google.cloud.automl.v1beta1.Float64Stats.getDefaultInstance(); + } + + public static final int STRING_STATS_FIELD_NUMBER = 4; + /** + * + * + * 
+   * The statistics for STRING DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.StringStats string_stats = 4; + * + * @return Whether the stringStats field is set. + */ + public boolean hasStringStats() { + return statsCase_ == 4; + } + /** + * + * + * 
+   * The statistics for STRING DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.StringStats string_stats = 4; + * + * @return The stringStats. + */ + public com.google.cloud.automl.v1beta1.StringStats getStringStats() { + if (statsCase_ == 4) { + return (com.google.cloud.automl.v1beta1.StringStats) stats_; + } + return com.google.cloud.automl.v1beta1.StringStats.getDefaultInstance(); + } + /** + * + * + * 
+   * The statistics for STRING DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.StringStats string_stats = 4; + */ + public com.google.cloud.automl.v1beta1.StringStatsOrBuilder getStringStatsOrBuilder() { + if (statsCase_ == 4) { + return (com.google.cloud.automl.v1beta1.StringStats) stats_; + } + return com.google.cloud.automl.v1beta1.StringStats.getDefaultInstance(); + } + + public static final int TIMESTAMP_STATS_FIELD_NUMBER = 5; + /** + * + * + * 
+   * The statistics for TIMESTAMP DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5; + * + * @return Whether the timestampStats field is set. + */ + public boolean hasTimestampStats() { + return statsCase_ == 5; + } + /** + * + * + * 
+   * The statistics for TIMESTAMP DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5; + * + * @return The timestampStats. + */ + public com.google.cloud.automl.v1beta1.TimestampStats getTimestampStats() { + if (statsCase_ == 5) { + return (com.google.cloud.automl.v1beta1.TimestampStats) stats_; + } + return com.google.cloud.automl.v1beta1.TimestampStats.getDefaultInstance(); + } + /** + * + * + * 
+   * The statistics for TIMESTAMP DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5; + */ + public com.google.cloud.automl.v1beta1.TimestampStatsOrBuilder getTimestampStatsOrBuilder() { + if (statsCase_ == 5) { + return (com.google.cloud.automl.v1beta1.TimestampStats) stats_; + } + return com.google.cloud.automl.v1beta1.TimestampStats.getDefaultInstance(); + } + + public static final int ARRAY_STATS_FIELD_NUMBER = 6; + /** + * + * + * 
+   * The statistics for ARRAY DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6; + * + * @return Whether the arrayStats field is set. + */ + public boolean hasArrayStats() { + return statsCase_ == 6; + } + /** + * + * + * 
+   * The statistics for ARRAY DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6; + * + * @return The arrayStats. + */ + public com.google.cloud.automl.v1beta1.ArrayStats getArrayStats() { + if (statsCase_ == 6) { + return (com.google.cloud.automl.v1beta1.ArrayStats) stats_; + } + return com.google.cloud.automl.v1beta1.ArrayStats.getDefaultInstance(); + } + /** + * + * + * 
+   * The statistics for ARRAY DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6; + */ + public com.google.cloud.automl.v1beta1.ArrayStatsOrBuilder getArrayStatsOrBuilder() { + if (statsCase_ == 6) { + return (com.google.cloud.automl.v1beta1.ArrayStats) stats_; + } + return com.google.cloud.automl.v1beta1.ArrayStats.getDefaultInstance(); + } + + public static final int STRUCT_STATS_FIELD_NUMBER = 7; + /** + * + * + * 
+   * The statistics for STRUCT DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.StructStats struct_stats = 7; + * + * @return Whether the structStats field is set. + */ + public boolean hasStructStats() { + return statsCase_ == 7; + } + /** + * + * + * 
+   * The statistics for STRUCT DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.StructStats struct_stats = 7; + * + * @return The structStats. + */ + public com.google.cloud.automl.v1beta1.StructStats getStructStats() { + if (statsCase_ == 7) { + return (com.google.cloud.automl.v1beta1.StructStats) stats_; + } + return com.google.cloud.automl.v1beta1.StructStats.getDefaultInstance(); + } + /** + * + * + * 
+   * The statistics for STRUCT DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.StructStats struct_stats = 7; + */ + public com.google.cloud.automl.v1beta1.StructStatsOrBuilder getStructStatsOrBuilder() { + if (statsCase_ == 7) { + return (com.google.cloud.automl.v1beta1.StructStats) stats_; + } + return com.google.cloud.automl.v1beta1.StructStats.getDefaultInstance(); + } + + public static final int CATEGORY_STATS_FIELD_NUMBER = 8; + /** + * + * + * 
+   * The statistics for CATEGORY DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8; + * + * @return Whether the categoryStats field is set. + */ + public boolean hasCategoryStats() { + return statsCase_ == 8; + } + /** + * + * + * 
+   * The statistics for CATEGORY DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8; + * + * @return The categoryStats. + */ + public com.google.cloud.automl.v1beta1.CategoryStats getCategoryStats() { + if (statsCase_ == 8) { + return (com.google.cloud.automl.v1beta1.CategoryStats) stats_; + } + return com.google.cloud.automl.v1beta1.CategoryStats.getDefaultInstance(); + } + /** + * + * + * 
+   * The statistics for CATEGORY DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8; + */ + public com.google.cloud.automl.v1beta1.CategoryStatsOrBuilder getCategoryStatsOrBuilder() { + if (statsCase_ == 8) { + return (com.google.cloud.automl.v1beta1.CategoryStats) stats_; + } + return com.google.cloud.automl.v1beta1.CategoryStats.getDefaultInstance(); + } + + public static final int DISTINCT_VALUE_COUNT_FIELD_NUMBER = 1; + private long distinctValueCount_; + /** + * + * + * 
+   * The number of distinct values.
+   *
+ * + * int64 distinct_value_count = 1; + * + * @return The distinctValueCount. + */ + public long getDistinctValueCount() { + return distinctValueCount_; + } + + public static final int NULL_VALUE_COUNT_FIELD_NUMBER = 2; + private long nullValueCount_; + /** + * + * + * 
+   * The number of values that are null.
+   *
+ * + * int64 null_value_count = 2; + * + * @return The nullValueCount. + */ + public long getNullValueCount() { + return nullValueCount_; + } + + public static final int VALID_VALUE_COUNT_FIELD_NUMBER = 9; + private long validValueCount_; + /** + * + * + * 
+   * The number of values that are valid.
+   *
+ * + * int64 valid_value_count = 9; + * + * @return The validValueCount. + */ + public long getValidValueCount() { + return validValueCount_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (distinctValueCount_ != 0L) { + output.writeInt64(1, distinctValueCount_); + } + if (nullValueCount_ != 0L) { + output.writeInt64(2, nullValueCount_); + } + if (statsCase_ == 3) { + output.writeMessage(3, (com.google.cloud.automl.v1beta1.Float64Stats) stats_); + } + if (statsCase_ == 4) { + output.writeMessage(4, (com.google.cloud.automl.v1beta1.StringStats) stats_); + } + if (statsCase_ == 5) { + output.writeMessage(5, (com.google.cloud.automl.v1beta1.TimestampStats) stats_); + } + if (statsCase_ == 6) { + output.writeMessage(6, (com.google.cloud.automl.v1beta1.ArrayStats) stats_); + } + if (statsCase_ == 7) { + output.writeMessage(7, (com.google.cloud.automl.v1beta1.StructStats) stats_); + } + if (statsCase_ == 8) { + output.writeMessage(8, (com.google.cloud.automl.v1beta1.CategoryStats) stats_); + } + if (validValueCount_ != 0L) { + output.writeInt64(9, validValueCount_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (distinctValueCount_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(1, distinctValueCount_); + } + if (nullValueCount_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(2, nullValueCount_); + } + if (statsCase_ == 3) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 3, (com.google.cloud.automl.v1beta1.Float64Stats) stats_); + } + if (statsCase_ == 4) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 4, (com.google.cloud.automl.v1beta1.StringStats) stats_); + } + if (statsCase_ == 5) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 5, (com.google.cloud.automl.v1beta1.TimestampStats) stats_); + } + if (statsCase_ == 6) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 6, (com.google.cloud.automl.v1beta1.ArrayStats) stats_); + } + if (statsCase_ == 7) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 7, (com.google.cloud.automl.v1beta1.StructStats) stats_); + } + if (statsCase_ == 8) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 8, (com.google.cloud.automl.v1beta1.CategoryStats) stats_); + } + if (validValueCount_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(9, validValueCount_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.DataStats)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.DataStats other = + (com.google.cloud.automl.v1beta1.DataStats) obj; + + if (getDistinctValueCount() != other.getDistinctValueCount()) return false; + if (getNullValueCount() != other.getNullValueCount()) return false; + if (getValidValueCount() != other.getValidValueCount()) return false; + if (!getStatsCase().equals(other.getStatsCase())) return false; + switch (statsCase_) { + case 3: + if (!getFloat64Stats().equals(other.getFloat64Stats())) return false; + break; + case 4: + if (!getStringStats().equals(other.getStringStats())) return false; + break; + case 5: + if (!getTimestampStats().equals(other.getTimestampStats())) return false; + break; + case 6: + if (!getArrayStats().equals(other.getArrayStats())) return false; + break; + case 7: + if (!getStructStats().equals(other.getStructStats())) return false; + break; + case 8: + if (!getCategoryStats().equals(other.getCategoryStats())) return false; + break; + case 0: + default: + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + DISTINCT_VALUE_COUNT_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getDistinctValueCount()); + hash = (37 * hash) + NULL_VALUE_COUNT_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getNullValueCount()); + hash = (37 * hash) + VALID_VALUE_COUNT_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getValidValueCount()); + switch (statsCase_) { + case 3: + hash = (37 * hash) + FLOAT64_STATS_FIELD_NUMBER; + hash = (53 * hash) + getFloat64Stats().hashCode(); + break; + case 4: + hash = (37 * hash) + STRING_STATS_FIELD_NUMBER; + hash = (53 * hash) + getStringStats().hashCode(); + break; + case 5: + hash = (37 * hash) + TIMESTAMP_STATS_FIELD_NUMBER; + hash = (53 * hash) + getTimestampStats().hashCode(); + break; + case 6: + hash = (37 * hash) + ARRAY_STATS_FIELD_NUMBER; + hash = (53 * hash) + getArrayStats().hashCode(); + break; + case 7: + hash = (37 * hash) + STRUCT_STATS_FIELD_NUMBER; + hash = (53 * hash) + getStructStats().hashCode(); + break; + case 8: + hash = (37 * hash) + CATEGORY_STATS_FIELD_NUMBER; + hash = (53 * hash) + getCategoryStats().hashCode(); + break; + case 0: + default: + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.DataStats parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DataStats parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DataStats parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DataStats parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DataStats parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DataStats parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DataStats parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DataStats parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DataStats parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DataStats parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DataStats parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DataStats parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.DataStats prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * The data statistics of a series of values that share the same DataType.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.DataStats} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.DataStats) + com.google.cloud.automl.v1beta1.DataStatsOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_DataStats_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_DataStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.DataStats.class, + com.google.cloud.automl.v1beta1.DataStats.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.DataStats.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + distinctValueCount_ = 0L; + + nullValueCount_ = 0L; + + validValueCount_ = 0L; + + statsCase_ = 0; + stats_ = null; + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_DataStats_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DataStats getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.DataStats.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DataStats build() { + com.google.cloud.automl.v1beta1.DataStats result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DataStats buildPartial() { + com.google.cloud.automl.v1beta1.DataStats result = + new com.google.cloud.automl.v1beta1.DataStats(this); + if (statsCase_ == 3) { + if (float64StatsBuilder_ == null) { + result.stats_ = stats_; + } else { + result.stats_ = float64StatsBuilder_.build(); + } + } + if (statsCase_ == 4) { + if (stringStatsBuilder_ == null) { + result.stats_ = stats_; + } else { + result.stats_ = stringStatsBuilder_.build(); + } + } + if (statsCase_ == 5) { + if (timestampStatsBuilder_ == null) { + result.stats_ = stats_; + } else { + result.stats_ = timestampStatsBuilder_.build(); + } + } + if (statsCase_ == 6) { + if (arrayStatsBuilder_ == null) { + result.stats_ = stats_; + } else { + result.stats_ = arrayStatsBuilder_.build(); + } + } + if (statsCase_ == 7) { + if (structStatsBuilder_ == null) { + result.stats_ = stats_; + } else { + result.stats_ = structStatsBuilder_.build(); + } + } + if (statsCase_ == 8) { + if (categoryStatsBuilder_ == null) { + result.stats_ = stats_; + } else { + result.stats_ = categoryStatsBuilder_.build(); + } + } + result.distinctValueCount_ = distinctValueCount_; + result.nullValueCount_ = nullValueCount_; + result.validValueCount_ = validValueCount_; + result.statsCase_ = statsCase_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.DataStats) { + return mergeFrom((com.google.cloud.automl.v1beta1.DataStats) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.DataStats other) { + if (other == com.google.cloud.automl.v1beta1.DataStats.getDefaultInstance()) return this; + if (other.getDistinctValueCount() != 0L) { + setDistinctValueCount(other.getDistinctValueCount()); + } + if (other.getNullValueCount() != 0L) { + setNullValueCount(other.getNullValueCount()); + } + if (other.getValidValueCount() != 0L) { + setValidValueCount(other.getValidValueCount()); + } + switch (other.getStatsCase()) { + case FLOAT64_STATS: + { + mergeFloat64Stats(other.getFloat64Stats()); + break; + } + case STRING_STATS: + { + mergeStringStats(other.getStringStats()); + break; + } + case TIMESTAMP_STATS: + { + mergeTimestampStats(other.getTimestampStats()); + break; + } + case ARRAY_STATS: + { + mergeArrayStats(other.getArrayStats()); + break; + } + case STRUCT_STATS: + { + mergeStructStats(other.getStructStats()); + break; + } + case CATEGORY_STATS: + { + mergeCategoryStats(other.getCategoryStats()); + break; + } + case STATS_NOT_SET: + { + break; + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.DataStats parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.DataStats) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int statsCase_ = 0; + private java.lang.Object stats_; + + public StatsCase getStatsCase() { + return StatsCase.forNumber(statsCase_); + } + + public Builder clearStats() { + statsCase_ = 0; + stats_ = null; + onChanged(); + return this; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.Float64Stats, + com.google.cloud.automl.v1beta1.Float64Stats.Builder, + com.google.cloud.automl.v1beta1.Float64StatsOrBuilder> + float64StatsBuilder_; + /** + * + * + * 
+     * The statistics for FLOAT64 DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3; + * + * @return Whether the float64Stats field is set. + */ + public boolean hasFloat64Stats() { + return statsCase_ == 3; + } + /** + * + * + * 
+     * The statistics for FLOAT64 DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3; + * + * @return The float64Stats. + */ + public com.google.cloud.automl.v1beta1.Float64Stats getFloat64Stats() { + if (float64StatsBuilder_ == null) { + if (statsCase_ == 3) { + return (com.google.cloud.automl.v1beta1.Float64Stats) stats_; + } + return com.google.cloud.automl.v1beta1.Float64Stats.getDefaultInstance(); + } else { + if (statsCase_ == 3) { + return float64StatsBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.Float64Stats.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The statistics for FLOAT64 DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3; + */ + public Builder setFloat64Stats(com.google.cloud.automl.v1beta1.Float64Stats value) { + if (float64StatsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + stats_ = value; + onChanged(); + } else { + float64StatsBuilder_.setMessage(value); + } + statsCase_ = 3; + return this; + } + /** + * + * + * 
+     * The statistics for FLOAT64 DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3; + */ + public Builder setFloat64Stats( + com.google.cloud.automl.v1beta1.Float64Stats.Builder builderForValue) { + if (float64StatsBuilder_ == null) { + stats_ = builderForValue.build(); + onChanged(); + } else { + float64StatsBuilder_.setMessage(builderForValue.build()); + } + statsCase_ = 3; + return this; + } + /** + * + * + * 
+     * The statistics for FLOAT64 DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3; + */ + public Builder mergeFloat64Stats(com.google.cloud.automl.v1beta1.Float64Stats value) { + if (float64StatsBuilder_ == null) { + if (statsCase_ == 3 + && stats_ != com.google.cloud.automl.v1beta1.Float64Stats.getDefaultInstance()) { + stats_ = + com.google.cloud.automl.v1beta1.Float64Stats.newBuilder( + (com.google.cloud.automl.v1beta1.Float64Stats) stats_) + .mergeFrom(value) + .buildPartial(); + } else { + stats_ = value; + } + onChanged(); + } else { + if (statsCase_ == 3) { + float64StatsBuilder_.mergeFrom(value); + } + float64StatsBuilder_.setMessage(value); + } + statsCase_ = 3; + return this; + } + /** + * + * + * 
+     * The statistics for FLOAT64 DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3; + */ + public Builder clearFloat64Stats() { + if (float64StatsBuilder_ == null) { + if (statsCase_ == 3) { + statsCase_ = 0; + stats_ = null; + onChanged(); + } + } else { + if (statsCase_ == 3) { + statsCase_ = 0; + stats_ = null; + } + float64StatsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * The statistics for FLOAT64 DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3; + */ + public com.google.cloud.automl.v1beta1.Float64Stats.Builder getFloat64StatsBuilder() { + return getFloat64StatsFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The statistics for FLOAT64 DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3; + */ + public com.google.cloud.automl.v1beta1.Float64StatsOrBuilder getFloat64StatsOrBuilder() { + if ((statsCase_ == 3) && (float64StatsBuilder_ != null)) { + return float64StatsBuilder_.getMessageOrBuilder(); + } else { + if (statsCase_ == 3) { + return (com.google.cloud.automl.v1beta1.Float64Stats) stats_; + } + return com.google.cloud.automl.v1beta1.Float64Stats.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The statistics for FLOAT64 DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.Float64Stats, + com.google.cloud.automl.v1beta1.Float64Stats.Builder, + com.google.cloud.automl.v1beta1.Float64StatsOrBuilder> + getFloat64StatsFieldBuilder() { + if (float64StatsBuilder_ == null) { + if (!(statsCase_ == 3)) { + stats_ = com.google.cloud.automl.v1beta1.Float64Stats.getDefaultInstance(); + } + float64StatsBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.Float64Stats, + com.google.cloud.automl.v1beta1.Float64Stats.Builder, + com.google.cloud.automl.v1beta1.Float64StatsOrBuilder>( + (com.google.cloud.automl.v1beta1.Float64Stats) stats_, + getParentForChildren(), + isClean()); + stats_ = null; + } + statsCase_ = 3; + onChanged(); + ; + return float64StatsBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.StringStats, + com.google.cloud.automl.v1beta1.StringStats.Builder, + com.google.cloud.automl.v1beta1.StringStatsOrBuilder> + stringStatsBuilder_; + /** + * + * + * 
+     * The statistics for STRING DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.StringStats string_stats = 4; + * + * @return Whether the stringStats field is set. + */ + public boolean hasStringStats() { + return statsCase_ == 4; + } + /** + * + * + * 
+     * The statistics for STRING DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.StringStats string_stats = 4; + * + * @return The stringStats. + */ + public com.google.cloud.automl.v1beta1.StringStats getStringStats() { + if (stringStatsBuilder_ == null) { + if (statsCase_ == 4) { + return (com.google.cloud.automl.v1beta1.StringStats) stats_; + } + return com.google.cloud.automl.v1beta1.StringStats.getDefaultInstance(); + } else { + if (statsCase_ == 4) { + return stringStatsBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.StringStats.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The statistics for STRING DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.StringStats string_stats = 4; + */ + public Builder setStringStats(com.google.cloud.automl.v1beta1.StringStats value) { + if (stringStatsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + stats_ = value; + onChanged(); + } else { + stringStatsBuilder_.setMessage(value); + } + statsCase_ = 4; + return this; + } + /** + * + * + * 
+     * The statistics for STRING DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.StringStats string_stats = 4; + */ + public Builder setStringStats( + com.google.cloud.automl.v1beta1.StringStats.Builder builderForValue) { + if (stringStatsBuilder_ == null) { + stats_ = builderForValue.build(); + onChanged(); + } else { + stringStatsBuilder_.setMessage(builderForValue.build()); + } + statsCase_ = 4; + return this; + } + /** + * + * + * 
+     * The statistics for STRING DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.StringStats string_stats = 4; + */ + public Builder mergeStringStats(com.google.cloud.automl.v1beta1.StringStats value) { + if (stringStatsBuilder_ == null) { + if (statsCase_ == 4 + && stats_ != com.google.cloud.automl.v1beta1.StringStats.getDefaultInstance()) { + stats_ = + com.google.cloud.automl.v1beta1.StringStats.newBuilder( + (com.google.cloud.automl.v1beta1.StringStats) stats_) + .mergeFrom(value) + .buildPartial(); + } else { + stats_ = value; + } + onChanged(); + } else { + if (statsCase_ == 4) { + stringStatsBuilder_.mergeFrom(value); + } + stringStatsBuilder_.setMessage(value); + } + statsCase_ = 4; + return this; + } + /** + * + * + * 
+     * The statistics for STRING DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.StringStats string_stats = 4; + */ + public Builder clearStringStats() { + if (stringStatsBuilder_ == null) { + if (statsCase_ == 4) { + statsCase_ = 0; + stats_ = null; + onChanged(); + } + } else { + if (statsCase_ == 4) { + statsCase_ = 0; + stats_ = null; + } + stringStatsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * The statistics for STRING DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.StringStats string_stats = 4; + */ + public com.google.cloud.automl.v1beta1.StringStats.Builder getStringStatsBuilder() { + return getStringStatsFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The statistics for STRING DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.StringStats string_stats = 4; + */ + public com.google.cloud.automl.v1beta1.StringStatsOrBuilder getStringStatsOrBuilder() { + if ((statsCase_ == 4) && (stringStatsBuilder_ != null)) { + return stringStatsBuilder_.getMessageOrBuilder(); + } else { + if (statsCase_ == 4) { + return (com.google.cloud.automl.v1beta1.StringStats) stats_; + } + return com.google.cloud.automl.v1beta1.StringStats.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The statistics for STRING DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.StringStats string_stats = 4; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.StringStats, + com.google.cloud.automl.v1beta1.StringStats.Builder, + com.google.cloud.automl.v1beta1.StringStatsOrBuilder> + getStringStatsFieldBuilder() { + if (stringStatsBuilder_ == null) { + if (!(statsCase_ == 4)) { + stats_ = com.google.cloud.automl.v1beta1.StringStats.getDefaultInstance(); + } + stringStatsBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.StringStats, + com.google.cloud.automl.v1beta1.StringStats.Builder, + com.google.cloud.automl.v1beta1.StringStatsOrBuilder>( + (com.google.cloud.automl.v1beta1.StringStats) stats_, + getParentForChildren(), + isClean()); + stats_ = null; + } + statsCase_ = 4; + onChanged(); + ; + return stringStatsBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TimestampStats, + com.google.cloud.automl.v1beta1.TimestampStats.Builder, + com.google.cloud.automl.v1beta1.TimestampStatsOrBuilder> + timestampStatsBuilder_; + /** + * + * + * 
+     * The statistics for TIMESTAMP DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5; + * + * @return Whether the timestampStats field is set. + */ + public boolean hasTimestampStats() { + return statsCase_ == 5; + } + /** + * + * + * 
+     * The statistics for TIMESTAMP DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5; + * + * @return The timestampStats. + */ + public com.google.cloud.automl.v1beta1.TimestampStats getTimestampStats() { + if (timestampStatsBuilder_ == null) { + if (statsCase_ == 5) { + return (com.google.cloud.automl.v1beta1.TimestampStats) stats_; + } + return com.google.cloud.automl.v1beta1.TimestampStats.getDefaultInstance(); + } else { + if (statsCase_ == 5) { + return timestampStatsBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.TimestampStats.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The statistics for TIMESTAMP DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5; + */ + public Builder setTimestampStats(com.google.cloud.automl.v1beta1.TimestampStats value) { + if (timestampStatsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + stats_ = value; + onChanged(); + } else { + timestampStatsBuilder_.setMessage(value); + } + statsCase_ = 5; + return this; + } + /** + * + * + * 
+     * The statistics for TIMESTAMP DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5; + */ + public Builder setTimestampStats( + com.google.cloud.automl.v1beta1.TimestampStats.Builder builderForValue) { + if (timestampStatsBuilder_ == null) { + stats_ = builderForValue.build(); + onChanged(); + } else { + timestampStatsBuilder_.setMessage(builderForValue.build()); + } + statsCase_ = 5; + return this; + } + /** + * + * + * 
+     * The statistics for TIMESTAMP DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5; + */ + public Builder mergeTimestampStats(com.google.cloud.automl.v1beta1.TimestampStats value) { + if (timestampStatsBuilder_ == null) { + if (statsCase_ == 5 + && stats_ != com.google.cloud.automl.v1beta1.TimestampStats.getDefaultInstance()) { + stats_ = + com.google.cloud.automl.v1beta1.TimestampStats.newBuilder( + (com.google.cloud.automl.v1beta1.TimestampStats) stats_) + .mergeFrom(value) + .buildPartial(); + } else { + stats_ = value; + } + onChanged(); + } else { + if (statsCase_ == 5) { + timestampStatsBuilder_.mergeFrom(value); + } + timestampStatsBuilder_.setMessage(value); + } + statsCase_ = 5; + return this; + } + /** + * + * + * 
+     * The statistics for TIMESTAMP DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5; + */ + public Builder clearTimestampStats() { + if (timestampStatsBuilder_ == null) { + if (statsCase_ == 5) { + statsCase_ = 0; + stats_ = null; + onChanged(); + } + } else { + if (statsCase_ == 5) { + statsCase_ = 0; + stats_ = null; + } + timestampStatsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * The statistics for TIMESTAMP DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5; + */ + public com.google.cloud.automl.v1beta1.TimestampStats.Builder getTimestampStatsBuilder() { + return getTimestampStatsFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The statistics for TIMESTAMP DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5; + */ + public com.google.cloud.automl.v1beta1.TimestampStatsOrBuilder getTimestampStatsOrBuilder() { + if ((statsCase_ == 5) && (timestampStatsBuilder_ != null)) { + return timestampStatsBuilder_.getMessageOrBuilder(); + } else { + if (statsCase_ == 5) { + return (com.google.cloud.automl.v1beta1.TimestampStats) stats_; + } + return com.google.cloud.automl.v1beta1.TimestampStats.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The statistics for TIMESTAMP DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TimestampStats, + com.google.cloud.automl.v1beta1.TimestampStats.Builder, + com.google.cloud.automl.v1beta1.TimestampStatsOrBuilder> + getTimestampStatsFieldBuilder() { + if (timestampStatsBuilder_ == null) { + if (!(statsCase_ == 5)) { + stats_ = com.google.cloud.automl.v1beta1.TimestampStats.getDefaultInstance(); + } + timestampStatsBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TimestampStats, + com.google.cloud.automl.v1beta1.TimestampStats.Builder, + com.google.cloud.automl.v1beta1.TimestampStatsOrBuilder>( + (com.google.cloud.automl.v1beta1.TimestampStats) stats_, + getParentForChildren(), + isClean()); + stats_ = null; + } + statsCase_ = 5; + onChanged(); + ; + return timestampStatsBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ArrayStats, + com.google.cloud.automl.v1beta1.ArrayStats.Builder, + com.google.cloud.automl.v1beta1.ArrayStatsOrBuilder> + arrayStatsBuilder_; + /** + * + * + * 
+     * The statistics for ARRAY DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6; + * + * @return Whether the arrayStats field is set. + */ + public boolean hasArrayStats() { + return statsCase_ == 6; + } + /** + * + * + * 
+     * The statistics for ARRAY DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6; + * + * @return The arrayStats. + */ + public com.google.cloud.automl.v1beta1.ArrayStats getArrayStats() { + if (arrayStatsBuilder_ == null) { + if (statsCase_ == 6) { + return (com.google.cloud.automl.v1beta1.ArrayStats) stats_; + } + return com.google.cloud.automl.v1beta1.ArrayStats.getDefaultInstance(); + } else { + if (statsCase_ == 6) { + return arrayStatsBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.ArrayStats.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The statistics for ARRAY DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6; + */ + public Builder setArrayStats(com.google.cloud.automl.v1beta1.ArrayStats value) { + if (arrayStatsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + stats_ = value; + onChanged(); + } else { + arrayStatsBuilder_.setMessage(value); + } + statsCase_ = 6; + return this; + } + /** + * + * + * 
+     * The statistics for ARRAY DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6; + */ + public Builder setArrayStats( + com.google.cloud.automl.v1beta1.ArrayStats.Builder builderForValue) { + if (arrayStatsBuilder_ == null) { + stats_ = builderForValue.build(); + onChanged(); + } else { + arrayStatsBuilder_.setMessage(builderForValue.build()); + } + statsCase_ = 6; + return this; + } + /** + * + * + * 
+     * The statistics for ARRAY DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6; + */ + public Builder mergeArrayStats(com.google.cloud.automl.v1beta1.ArrayStats value) { + if (arrayStatsBuilder_ == null) { + if (statsCase_ == 6 + && stats_ != com.google.cloud.automl.v1beta1.ArrayStats.getDefaultInstance()) { + stats_ = + com.google.cloud.automl.v1beta1.ArrayStats.newBuilder( + (com.google.cloud.automl.v1beta1.ArrayStats) stats_) + .mergeFrom(value) + .buildPartial(); + } else { + stats_ = value; + } + onChanged(); + } else { + if (statsCase_ == 6) { + arrayStatsBuilder_.mergeFrom(value); + } + arrayStatsBuilder_.setMessage(value); + } + statsCase_ = 6; + return this; + } + /** + * + * + * 
+     * The statistics for ARRAY DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6; + */ + public Builder clearArrayStats() { + if (arrayStatsBuilder_ == null) { + if (statsCase_ == 6) { + statsCase_ = 0; + stats_ = null; + onChanged(); + } + } else { + if (statsCase_ == 6) { + statsCase_ = 0; + stats_ = null; + } + arrayStatsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * The statistics for ARRAY DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6; + */ + public com.google.cloud.automl.v1beta1.ArrayStats.Builder getArrayStatsBuilder() { + return getArrayStatsFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The statistics for ARRAY DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6; + */ + public com.google.cloud.automl.v1beta1.ArrayStatsOrBuilder getArrayStatsOrBuilder() { + if ((statsCase_ == 6) && (arrayStatsBuilder_ != null)) { + return arrayStatsBuilder_.getMessageOrBuilder(); + } else { + if (statsCase_ == 6) { + return (com.google.cloud.automl.v1beta1.ArrayStats) stats_; + } + return com.google.cloud.automl.v1beta1.ArrayStats.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The statistics for ARRAY DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ArrayStats, + com.google.cloud.automl.v1beta1.ArrayStats.Builder, + com.google.cloud.automl.v1beta1.ArrayStatsOrBuilder> + getArrayStatsFieldBuilder() { + if (arrayStatsBuilder_ == null) { + if (!(statsCase_ == 6)) { + stats_ = com.google.cloud.automl.v1beta1.ArrayStats.getDefaultInstance(); + } + arrayStatsBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ArrayStats, + com.google.cloud.automl.v1beta1.ArrayStats.Builder, + com.google.cloud.automl.v1beta1.ArrayStatsOrBuilder>( + (com.google.cloud.automl.v1beta1.ArrayStats) stats_, + getParentForChildren(), + isClean()); + stats_ = null; + } + statsCase_ = 6; + onChanged(); + ; + return arrayStatsBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.StructStats, + com.google.cloud.automl.v1beta1.StructStats.Builder, + com.google.cloud.automl.v1beta1.StructStatsOrBuilder> + structStatsBuilder_; + /** + * + * + * 
+     * The statistics for STRUCT DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.StructStats struct_stats = 7; + * + * @return Whether the structStats field is set. + */ + public boolean hasStructStats() { + return statsCase_ == 7; + } + /** + * + * + * 
+     * The statistics for STRUCT DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.StructStats struct_stats = 7; + * + * @return The structStats. + */ + public com.google.cloud.automl.v1beta1.StructStats getStructStats() { + if (structStatsBuilder_ == null) { + if (statsCase_ == 7) { + return (com.google.cloud.automl.v1beta1.StructStats) stats_; + } + return com.google.cloud.automl.v1beta1.StructStats.getDefaultInstance(); + } else { + if (statsCase_ == 7) { + return structStatsBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.StructStats.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The statistics for STRUCT DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.StructStats struct_stats = 7; + */ + public Builder setStructStats(com.google.cloud.automl.v1beta1.StructStats value) { + if (structStatsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + stats_ = value; + onChanged(); + } else { + structStatsBuilder_.setMessage(value); + } + statsCase_ = 7; + return this; + } + /** + * + * + * 
+     * The statistics for STRUCT DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.StructStats struct_stats = 7; + */ + public Builder setStructStats( + com.google.cloud.automl.v1beta1.StructStats.Builder builderForValue) { + if (structStatsBuilder_ == null) { + stats_ = builderForValue.build(); + onChanged(); + } else { + structStatsBuilder_.setMessage(builderForValue.build()); + } + statsCase_ = 7; + return this; + } + /** + * + * + * 
+     * The statistics for STRUCT DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.StructStats struct_stats = 7; + */ + public Builder mergeStructStats(com.google.cloud.automl.v1beta1.StructStats value) { + if (structStatsBuilder_ == null) { + if (statsCase_ == 7 + && stats_ != com.google.cloud.automl.v1beta1.StructStats.getDefaultInstance()) { + stats_ = + com.google.cloud.automl.v1beta1.StructStats.newBuilder( + (com.google.cloud.automl.v1beta1.StructStats) stats_) + .mergeFrom(value) + .buildPartial(); + } else { + stats_ = value; + } + onChanged(); + } else { + if (statsCase_ == 7) { + structStatsBuilder_.mergeFrom(value); + } + structStatsBuilder_.setMessage(value); + } + statsCase_ = 7; + return this; + } + /** + * + * + * 
+     * The statistics for STRUCT DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.StructStats struct_stats = 7; + */ + public Builder clearStructStats() { + if (structStatsBuilder_ == null) { + if (statsCase_ == 7) { + statsCase_ = 0; + stats_ = null; + onChanged(); + } + } else { + if (statsCase_ == 7) { + statsCase_ = 0; + stats_ = null; + } + structStatsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * The statistics for STRUCT DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.StructStats struct_stats = 7; + */ + public com.google.cloud.automl.v1beta1.StructStats.Builder getStructStatsBuilder() { + return getStructStatsFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The statistics for STRUCT DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.StructStats struct_stats = 7; + */ + public com.google.cloud.automl.v1beta1.StructStatsOrBuilder getStructStatsOrBuilder() { + if ((statsCase_ == 7) && (structStatsBuilder_ != null)) { + return structStatsBuilder_.getMessageOrBuilder(); + } else { + if (statsCase_ == 7) { + return (com.google.cloud.automl.v1beta1.StructStats) stats_; + } + return com.google.cloud.automl.v1beta1.StructStats.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The statistics for STRUCT DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.StructStats struct_stats = 7; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.StructStats, + com.google.cloud.automl.v1beta1.StructStats.Builder, + com.google.cloud.automl.v1beta1.StructStatsOrBuilder> + getStructStatsFieldBuilder() { + if (structStatsBuilder_ == null) { + if (!(statsCase_ == 7)) { + stats_ = com.google.cloud.automl.v1beta1.StructStats.getDefaultInstance(); + } + structStatsBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.StructStats, + com.google.cloud.automl.v1beta1.StructStats.Builder, + com.google.cloud.automl.v1beta1.StructStatsOrBuilder>( + (com.google.cloud.automl.v1beta1.StructStats) stats_, + getParentForChildren(), + isClean()); + stats_ = null; + } + statsCase_ = 7; + onChanged(); + ; + return structStatsBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.CategoryStats, + com.google.cloud.automl.v1beta1.CategoryStats.Builder, + com.google.cloud.automl.v1beta1.CategoryStatsOrBuilder> + categoryStatsBuilder_; + /** + * + * + * 
+     * The statistics for CATEGORY DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8; + * + * @return Whether the categoryStats field is set. + */ + public boolean hasCategoryStats() { + return statsCase_ == 8; + } + /** + * + * + * 
+     * The statistics for CATEGORY DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8; + * + * @return The categoryStats. + */ + public com.google.cloud.automl.v1beta1.CategoryStats getCategoryStats() { + if (categoryStatsBuilder_ == null) { + if (statsCase_ == 8) { + return (com.google.cloud.automl.v1beta1.CategoryStats) stats_; + } + return com.google.cloud.automl.v1beta1.CategoryStats.getDefaultInstance(); + } else { + if (statsCase_ == 8) { + return categoryStatsBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.CategoryStats.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The statistics for CATEGORY DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8; + */ + public Builder setCategoryStats(com.google.cloud.automl.v1beta1.CategoryStats value) { + if (categoryStatsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + stats_ = value; + onChanged(); + } else { + categoryStatsBuilder_.setMessage(value); + } + statsCase_ = 8; + return this; + } + /** + * + * + * 
+     * The statistics for CATEGORY DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8; + */ + public Builder setCategoryStats( + com.google.cloud.automl.v1beta1.CategoryStats.Builder builderForValue) { + if (categoryStatsBuilder_ == null) { + stats_ = builderForValue.build(); + onChanged(); + } else { + categoryStatsBuilder_.setMessage(builderForValue.build()); + } + statsCase_ = 8; + return this; + } + /** + * + * + * 
+     * The statistics for CATEGORY DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8; + */ + public Builder mergeCategoryStats(com.google.cloud.automl.v1beta1.CategoryStats value) { + if (categoryStatsBuilder_ == null) { + if (statsCase_ == 8 + && stats_ != com.google.cloud.automl.v1beta1.CategoryStats.getDefaultInstance()) { + stats_ = + com.google.cloud.automl.v1beta1.CategoryStats.newBuilder( + (com.google.cloud.automl.v1beta1.CategoryStats) stats_) + .mergeFrom(value) + .buildPartial(); + } else { + stats_ = value; + } + onChanged(); + } else { + if (statsCase_ == 8) { + categoryStatsBuilder_.mergeFrom(value); + } + categoryStatsBuilder_.setMessage(value); + } + statsCase_ = 8; + return this; + } + /** + * + * + * 
+     * The statistics for CATEGORY DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8; + */ + public Builder clearCategoryStats() { + if (categoryStatsBuilder_ == null) { + if (statsCase_ == 8) { + statsCase_ = 0; + stats_ = null; + onChanged(); + } + } else { + if (statsCase_ == 8) { + statsCase_ = 0; + stats_ = null; + } + categoryStatsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * The statistics for CATEGORY DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8; + */ + public com.google.cloud.automl.v1beta1.CategoryStats.Builder getCategoryStatsBuilder() { + return getCategoryStatsFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The statistics for CATEGORY DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8; + */ + public com.google.cloud.automl.v1beta1.CategoryStatsOrBuilder getCategoryStatsOrBuilder() { + if ((statsCase_ == 8) && (categoryStatsBuilder_ != null)) { + return categoryStatsBuilder_.getMessageOrBuilder(); + } else { + if (statsCase_ == 8) { + return (com.google.cloud.automl.v1beta1.CategoryStats) stats_; + } + return com.google.cloud.automl.v1beta1.CategoryStats.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The statistics for CATEGORY DataType.
+     *
+ * + * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.CategoryStats, + com.google.cloud.automl.v1beta1.CategoryStats.Builder, + com.google.cloud.automl.v1beta1.CategoryStatsOrBuilder> + getCategoryStatsFieldBuilder() { + if (categoryStatsBuilder_ == null) { + if (!(statsCase_ == 8)) { + stats_ = com.google.cloud.automl.v1beta1.CategoryStats.getDefaultInstance(); + } + categoryStatsBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.CategoryStats, + com.google.cloud.automl.v1beta1.CategoryStats.Builder, + com.google.cloud.automl.v1beta1.CategoryStatsOrBuilder>( + (com.google.cloud.automl.v1beta1.CategoryStats) stats_, + getParentForChildren(), + isClean()); + stats_ = null; + } + statsCase_ = 8; + onChanged(); + ; + return categoryStatsBuilder_; + } + + private long distinctValueCount_; + /** + * + * + * 
+     * The number of distinct values.
+     *
+ * + * int64 distinct_value_count = 1; + * + * @return The distinctValueCount. + */ + public long getDistinctValueCount() { + return distinctValueCount_; + } + /** + * + * + * 
+     * The number of distinct values.
+     *
+ * + * int64 distinct_value_count = 1; + * + * @param value The distinctValueCount to set. + * @return This builder for chaining. + */ + public Builder setDistinctValueCount(long value) { + + distinctValueCount_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * The number of distinct values.
+     *
+ * + * int64 distinct_value_count = 1; + * + * @return This builder for chaining. + */ + public Builder clearDistinctValueCount() { + + distinctValueCount_ = 0L; + onChanged(); + return this; + } + + private long nullValueCount_; + /** + * + * + * 
+     * The number of values that are null.
+     *
+ * + * int64 null_value_count = 2; + * + * @return The nullValueCount. + */ + public long getNullValueCount() { + return nullValueCount_; + } + /** + * + * + * 
+     * The number of values that are null.
+     *
+ * + * int64 null_value_count = 2; + * + * @param value The nullValueCount to set. + * @return This builder for chaining. + */ + public Builder setNullValueCount(long value) { + + nullValueCount_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * The number of values that are null.
+     *
+ * + * int64 null_value_count = 2; + * + * @return This builder for chaining. + */ + public Builder clearNullValueCount() { + + nullValueCount_ = 0L; + onChanged(); + return this; + } + + private long validValueCount_; + /** + * + * + * 
+     * The number of values that are valid.
+     *
+ * + * int64 valid_value_count = 9; + * + * @return The validValueCount. + */ + public long getValidValueCount() { + return validValueCount_; + } + /** + * + * + * 
+     * The number of values that are valid.
+     *
+ * + * int64 valid_value_count = 9; + * + * @param value The validValueCount to set. + * @return This builder for chaining. + */ + public Builder setValidValueCount(long value) { + + validValueCount_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * The number of values that are valid.
+     *
+ * + * int64 valid_value_count = 9; + * + * @return This builder for chaining. + */ + public Builder clearValidValueCount() { + + validValueCount_ = 0L; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.DataStats) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.DataStats) + private static final com.google.cloud.automl.v1beta1.DataStats DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.DataStats(); + } + + public static com.google.cloud.automl.v1beta1.DataStats getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public DataStats parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new DataStats(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DataStats getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataStatsOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataStatsOrBuilder.java new file mode 100644 index 000000000..4543eea5b --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataStatsOrBuilder.java @@ -0,0 +1,276 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_stats.proto + +package com.google.cloud.automl.v1beta1; + +public interface DataStatsOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.DataStats) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * The statistics for FLOAT64 DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3; + * + * @return Whether the float64Stats field is set. + */ + boolean hasFloat64Stats(); + /** + * + * + * 
+   * The statistics for FLOAT64 DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3; + * + * @return The float64Stats. + */ + com.google.cloud.automl.v1beta1.Float64Stats getFloat64Stats(); + /** + * + * + * 
+   * The statistics for FLOAT64 DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3; + */ + com.google.cloud.automl.v1beta1.Float64StatsOrBuilder getFloat64StatsOrBuilder(); + + /** + * + * + * 
+   * The statistics for STRING DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.StringStats string_stats = 4; + * + * @return Whether the stringStats field is set. + */ + boolean hasStringStats(); + /** + * + * + * 
+   * The statistics for STRING DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.StringStats string_stats = 4; + * + * @return The stringStats. + */ + com.google.cloud.automl.v1beta1.StringStats getStringStats(); + /** + * + * + * 
+   * The statistics for STRING DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.StringStats string_stats = 4; + */ + com.google.cloud.automl.v1beta1.StringStatsOrBuilder getStringStatsOrBuilder(); + + /** + * + * + * 
+   * The statistics for TIMESTAMP DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5; + * + * @return Whether the timestampStats field is set. + */ + boolean hasTimestampStats(); + /** + * + * + * 
+   * The statistics for TIMESTAMP DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5; + * + * @return The timestampStats. + */ + com.google.cloud.automl.v1beta1.TimestampStats getTimestampStats(); + /** + * + * + * 
+   * The statistics for TIMESTAMP DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5; + */ + com.google.cloud.automl.v1beta1.TimestampStatsOrBuilder getTimestampStatsOrBuilder(); + + /** + * + * + * 
+   * The statistics for ARRAY DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6; + * + * @return Whether the arrayStats field is set. + */ + boolean hasArrayStats(); + /** + * + * + * 
+   * The statistics for ARRAY DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6; + * + * @return The arrayStats. + */ + com.google.cloud.automl.v1beta1.ArrayStats getArrayStats(); + /** + * + * + * 
+   * The statistics for ARRAY DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6; + */ + com.google.cloud.automl.v1beta1.ArrayStatsOrBuilder getArrayStatsOrBuilder(); + + /** + * + * + * 
+   * The statistics for STRUCT DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.StructStats struct_stats = 7; + * + * @return Whether the structStats field is set. + */ + boolean hasStructStats(); + /** + * + * + * 
+   * The statistics for STRUCT DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.StructStats struct_stats = 7; + * + * @return The structStats. + */ + com.google.cloud.automl.v1beta1.StructStats getStructStats(); + /** + * + * + * 
+   * The statistics for STRUCT DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.StructStats struct_stats = 7; + */ + com.google.cloud.automl.v1beta1.StructStatsOrBuilder getStructStatsOrBuilder(); + + /** + * + * + * 
+   * The statistics for CATEGORY DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8; + * + * @return Whether the categoryStats field is set. + */ + boolean hasCategoryStats(); + /** + * + * + * 
+   * The statistics for CATEGORY DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8; + * + * @return The categoryStats. + */ + com.google.cloud.automl.v1beta1.CategoryStats getCategoryStats(); + /** + * + * + * 
+   * The statistics for CATEGORY DataType.
+   *
+ * + * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8; + */ + com.google.cloud.automl.v1beta1.CategoryStatsOrBuilder getCategoryStatsOrBuilder(); + + /** + * + * + * 
+   * The number of distinct values.
+   *
+ * + * int64 distinct_value_count = 1; + * + * @return The distinctValueCount. + */ + long getDistinctValueCount(); + + /** + * + * + * 
+   * The number of values that are null.
+   *
+ * + * int64 null_value_count = 2; + * + * @return The nullValueCount. + */ + long getNullValueCount(); + + /** + * + * + * 
+   * The number of values that are valid.
+   *
+ * + * int64 valid_value_count = 9; + * + * @return The validValueCount. + */ + long getValidValueCount(); + + public com.google.cloud.automl.v1beta1.DataStats.StatsCase getStatsCase(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataStatsOuterClass.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataStatsOuterClass.java new file mode 100644 index 000000000..c5c3fd490 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataStatsOuterClass.java @@ -0,0 +1,297 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_stats.proto + +package com.google.cloud.automl.v1beta1; + +public final class DataStatsOuterClass { + private DataStatsOuterClass() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_DataStats_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_DataStats_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_Float64Stats_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_Float64Stats_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_Float64Stats_HistogramBucket_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_Float64Stats_HistogramBucket_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_StringStats_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_StringStats_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_StringStats_UnigramStats_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_StringStats_UnigramStats_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TimestampStats_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TimestampStats_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_BucketsEntry_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_BucketsEntry_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStatsEntry_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStatsEntry_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ArrayStats_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ArrayStats_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_StructStats_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_StructStats_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_StructStats_FieldStatsEntry_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_StructStats_FieldStatsEntry_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_CategoryStats_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_CategoryStats_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_CategoryStats_SingleCategoryStats_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_CategoryStats_SingleCategoryStats_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_CorrelationStats_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_CorrelationStats_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n,google/cloud/automl/v1beta1/data_stats" + + ".proto\022\033google.cloud.automl.v1beta1\032\034goo" + + "gle/api/annotations.proto\"\375\003\n\tDataStats\022" + + "B\n\rfloat64_stats\030\003 \001(\0132).google.cloud.au" + + "toml.v1beta1.Float64StatsH\000\022@\n\014string_st" + + "ats\030\004 \001(\0132(.google.cloud.automl.v1beta1." + + "StringStatsH\000\022F\n\017timestamp_stats\030\005 \001(\0132+" + + ".google.cloud.automl.v1beta1.TimestampSt" + + "atsH\000\022>\n\013array_stats\030\006 \001(\0132\'.google.clou" + + "d.automl.v1beta1.ArrayStatsH\000\022@\n\014struct_" + + "stats\030\007 \001(\0132(.google.cloud.automl.v1beta" + + "1.StructStatsH\000\022D\n\016category_stats\030\010 \001(\0132" + + "*.google.cloud.automl.v1beta1.CategorySt" + + "atsH\000\022\034\n\024distinct_value_count\030\001 \001(\003\022\030\n\020n" + + "ull_value_count\030\002 \001(\003\022\031\n\021valid_value_cou" + + "nt\030\t \001(\003B\007\n\005stats\"\335\001\n\014Float64Stats\022\014\n\004me" + + "an\030\001 \001(\001\022\032\n\022standard_deviation\030\002 \001(\001\022\021\n\t" + + "quantiles\030\003 \003(\001\022T\n\021histogram_buckets\030\004 \003" + + "(\01329.google.cloud.automl.v1beta1.Float64" + + "Stats.HistogramBucket\032:\n\017HistogramBucket" + + "\022\013\n\003min\030\001 \001(\001\022\013\n\003max\030\002 \001(\001\022\r\n\005count\030\003 \001(" + + "\003\"\215\001\n\013StringStats\022P\n\021top_unigram_stats\030\001" + + " \003(\01325.google.cloud.automl.v1beta1.Strin" + + "gStats.UnigramStats\032,\n\014UnigramStats\022\r\n\005v" + + "alue\030\001 \001(\t\022\r\n\005count\030\002 \001(\003\"\364\002\n\016TimestampS" + + "tats\022V\n\016granular_stats\030\001 \003(\0132>.google.cl" + + "oud.automl.v1beta1.TimestampStats.Granul" + + "arStatsEntry\032\230\001\n\rGranularStats\022W\n\007bucket" + + "s\030\001 \003(\0132F.google.cloud.automl.v1beta1.Ti" + + "mestampStats.GranularStats.BucketsEntry\032" + + ".\n\014BucketsEntry\022\013\n\003key\030\001 \001(\005\022\r\n\005value\030\002 " + + "\001(\003:\0028\001\032o\n\022GranularStatsEntry\022\013\n\003key\030\001 \001" + + "(\t\022H\n\005value\030\002 \001(\01329.google.cloud.automl." + + "v1beta1.TimestampStats.GranularStats:\0028\001" + + "\"J\n\nArrayStats\022<\n\014member_stats\030\002 \001(\0132&.g" + + "oogle.cloud.automl.v1beta1.DataStats\"\267\001\n" + + "\013StructStats\022M\n\013field_stats\030\001 \003(\01328.goog" + + "le.cloud.automl.v1beta1.StructStats.Fiel" + + "dStatsEntry\032Y\n\017FieldStatsEntry\022\013\n\003key\030\001 " + + "\001(\t\0225\n\005value\030\002 \001(\0132&.google.cloud.automl" + + ".v1beta1.DataStats:\0028\001\"\240\001\n\rCategoryStats" + + "\022Z\n\022top_category_stats\030\001 \003(\0132>.google.cl" + + "oud.automl.v1beta1.CategoryStats.SingleC" + + "ategoryStats\0323\n\023SingleCategoryStats\022\r\n\005v" + + "alue\030\001 \001(\t\022\r\n\005count\030\002 \001(\003\"%\n\020Correlation" + + "Stats\022\021\n\tcramers_v\030\001 \001(\001B\245\001\n\037com.google." + + "cloud.automl.v1beta1P\001ZAgoogle.golang.or" + + "g/genproto/googleapis/cloud/automl/v1bet" + + "a1;automl\312\002\033Google\\Cloud\\AutoMl\\V1beta1\352" + + "\002\036Google::Cloud::AutoML::V1beta1b\006proto3" + }; + descriptor = + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.api.AnnotationsProto.getDescriptor(), + }); + internal_static_google_cloud_automl_v1beta1_DataStats_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_DataStats_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_DataStats_descriptor, + new java.lang.String[] { + "Float64Stats", + "StringStats", + "TimestampStats", + "ArrayStats", + "StructStats", + "CategoryStats", + "DistinctValueCount", + "NullValueCount", + "ValidValueCount", + "Stats", + }); + internal_static_google_cloud_automl_v1beta1_Float64Stats_descriptor = + getDescriptor().getMessageTypes().get(1); + internal_static_google_cloud_automl_v1beta1_Float64Stats_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_Float64Stats_descriptor, + new java.lang.String[] { + "Mean", "StandardDeviation", "Quantiles", "HistogramBuckets", + }); + internal_static_google_cloud_automl_v1beta1_Float64Stats_HistogramBucket_descriptor = + internal_static_google_cloud_automl_v1beta1_Float64Stats_descriptor.getNestedTypes().get(0); + internal_static_google_cloud_automl_v1beta1_Float64Stats_HistogramBucket_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_Float64Stats_HistogramBucket_descriptor, + new java.lang.String[] { + "Min", "Max", "Count", + }); + internal_static_google_cloud_automl_v1beta1_StringStats_descriptor = + getDescriptor().getMessageTypes().get(2); + internal_static_google_cloud_automl_v1beta1_StringStats_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_StringStats_descriptor, + new java.lang.String[] { + "TopUnigramStats", + }); + internal_static_google_cloud_automl_v1beta1_StringStats_UnigramStats_descriptor = + internal_static_google_cloud_automl_v1beta1_StringStats_descriptor.getNestedTypes().get(0); + internal_static_google_cloud_automl_v1beta1_StringStats_UnigramStats_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_StringStats_UnigramStats_descriptor, + new java.lang.String[] { + "Value", "Count", + }); + internal_static_google_cloud_automl_v1beta1_TimestampStats_descriptor = + getDescriptor().getMessageTypes().get(3); + internal_static_google_cloud_automl_v1beta1_TimestampStats_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TimestampStats_descriptor, + new java.lang.String[] { + "GranularStats", + }); + internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_descriptor = + internal_static_google_cloud_automl_v1beta1_TimestampStats_descriptor + .getNestedTypes() + .get(0); + internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_descriptor, + new java.lang.String[] { + "Buckets", + }); + internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_BucketsEntry_descriptor = + internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_descriptor + .getNestedTypes() + .get(0); + internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_BucketsEntry_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_BucketsEntry_descriptor, + new java.lang.String[] { + "Key", "Value", + }); + internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStatsEntry_descriptor = + internal_static_google_cloud_automl_v1beta1_TimestampStats_descriptor + .getNestedTypes() + .get(1); + internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStatsEntry_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStatsEntry_descriptor, + new java.lang.String[] { + "Key", "Value", + }); + internal_static_google_cloud_automl_v1beta1_ArrayStats_descriptor = + getDescriptor().getMessageTypes().get(4); + internal_static_google_cloud_automl_v1beta1_ArrayStats_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ArrayStats_descriptor, + new java.lang.String[] { + "MemberStats", + }); + internal_static_google_cloud_automl_v1beta1_StructStats_descriptor = + getDescriptor().getMessageTypes().get(5); + internal_static_google_cloud_automl_v1beta1_StructStats_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_StructStats_descriptor, + new java.lang.String[] { + "FieldStats", + }); + internal_static_google_cloud_automl_v1beta1_StructStats_FieldStatsEntry_descriptor = + internal_static_google_cloud_automl_v1beta1_StructStats_descriptor.getNestedTypes().get(0); + internal_static_google_cloud_automl_v1beta1_StructStats_FieldStatsEntry_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_StructStats_FieldStatsEntry_descriptor, + new java.lang.String[] { + "Key", "Value", + }); + internal_static_google_cloud_automl_v1beta1_CategoryStats_descriptor = + getDescriptor().getMessageTypes().get(6); + internal_static_google_cloud_automl_v1beta1_CategoryStats_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_CategoryStats_descriptor, + new java.lang.String[] { + "TopCategoryStats", + }); + internal_static_google_cloud_automl_v1beta1_CategoryStats_SingleCategoryStats_descriptor = + internal_static_google_cloud_automl_v1beta1_CategoryStats_descriptor + .getNestedTypes() + .get(0); + internal_static_google_cloud_automl_v1beta1_CategoryStats_SingleCategoryStats_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_CategoryStats_SingleCategoryStats_descriptor, + new java.lang.String[] { + "Value", "Count", + }); + internal_static_google_cloud_automl_v1beta1_CorrelationStats_descriptor = + getDescriptor().getMessageTypes().get(7); + internal_static_google_cloud_automl_v1beta1_CorrelationStats_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_CorrelationStats_descriptor, + new java.lang.String[] { + "CramersV", + }); + com.google.api.AnnotationsProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataType.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataType.java new file mode 100644 index 000000000..046bcdf3b --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataType.java @@ -0,0 +1,1666 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_types.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Indicated the type of data that can be stored in a structured data entity
+ * (e.g. a table).
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.DataType} + */ +public final class DataType extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.DataType) + DataTypeOrBuilder { + private static final long serialVersionUID = 0L; + // Use DataType.newBuilder() to construct. + private DataType(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private DataType() { + typeCode_ = 0; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new DataType(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private DataType( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 8: + { + int rawValue = input.readEnum(); + + typeCode_ = rawValue; + break; + } + case 18: + { + com.google.cloud.automl.v1beta1.DataType.Builder subBuilder = null; + if (detailsCase_ == 2) { + subBuilder = ((com.google.cloud.automl.v1beta1.DataType) details_).toBuilder(); + } + details_ = + input.readMessage( + com.google.cloud.automl.v1beta1.DataType.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.DataType) details_); + details_ = subBuilder.buildPartial(); + } + detailsCase_ = 2; + break; + } + case 26: + { + com.google.cloud.automl.v1beta1.StructType.Builder subBuilder = null; + if (detailsCase_ == 3) { + subBuilder = ((com.google.cloud.automl.v1beta1.StructType) details_).toBuilder(); + } + details_ = + input.readMessage( + com.google.cloud.automl.v1beta1.StructType.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.StructType) details_); + details_ = subBuilder.buildPartial(); + } + detailsCase_ = 3; + break; + } + case 32: + { + nullable_ = input.readBool(); + break; + } + case 42: + { + java.lang.String s = input.readStringRequireUtf8(); + detailsCase_ = 5; + details_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataTypes + .internal_static_google_cloud_automl_v1beta1_DataType_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataTypes + .internal_static_google_cloud_automl_v1beta1_DataType_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.DataType.class, + com.google.cloud.automl.v1beta1.DataType.Builder.class); + } + + private int detailsCase_ = 0; + private java.lang.Object details_; + + public enum DetailsCase + implements + com.google.protobuf.Internal.EnumLite, + com.google.protobuf.AbstractMessage.InternalOneOfEnum { + LIST_ELEMENT_TYPE(2), + STRUCT_TYPE(3), + TIME_FORMAT(5), + DETAILS_NOT_SET(0); + private final int value; + + private DetailsCase(int value) { + this.value = value; + } + /** + * @param value The number of the enum to look for. + * @return The enum associated with the given number. + * @deprecated Use {@link #forNumber(int)} instead. + */ + @java.lang.Deprecated + public static DetailsCase valueOf(int value) { + return forNumber(value); + } + + public static DetailsCase forNumber(int value) { + switch (value) { + case 2: + return LIST_ELEMENT_TYPE; + case 3: + return STRUCT_TYPE; + case 5: + return TIME_FORMAT; + case 0: + return DETAILS_NOT_SET; + default: + return null; + } + } + + public int getNumber() { + return this.value; + } + }; + + public DetailsCase getDetailsCase() { + return DetailsCase.forNumber(detailsCase_); + } + + public static final int LIST_ELEMENT_TYPE_FIELD_NUMBER = 2; + /** + * + * + * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+   * then `list_element_type` is the type of the elements.
+   *
+ * + * .google.cloud.automl.v1beta1.DataType list_element_type = 2; + * + * @return Whether the listElementType field is set. + */ + public boolean hasListElementType() { + return detailsCase_ == 2; + } + /** + * + * + * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+   * then `list_element_type` is the type of the elements.
+   *
+ * + * .google.cloud.automl.v1beta1.DataType list_element_type = 2; + * + * @return The listElementType. + */ + public com.google.cloud.automl.v1beta1.DataType getListElementType() { + if (detailsCase_ == 2) { + return (com.google.cloud.automl.v1beta1.DataType) details_; + } + return com.google.cloud.automl.v1beta1.DataType.getDefaultInstance(); + } + /** + * + * + * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+   * then `list_element_type` is the type of the elements.
+   *
+ * + * .google.cloud.automl.v1beta1.DataType list_element_type = 2; + */ + public com.google.cloud.automl.v1beta1.DataTypeOrBuilder getListElementTypeOrBuilder() { + if (detailsCase_ == 2) { + return (com.google.cloud.automl.v1beta1.DataType) details_; + } + return com.google.cloud.automl.v1beta1.DataType.getDefaultInstance(); + } + + public static final int STRUCT_TYPE_FIELD_NUMBER = 3; + /** + * + * + * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+   * provides type information for the struct's fields.
+   *
+ * + * .google.cloud.automl.v1beta1.StructType struct_type = 3; + * + * @return Whether the structType field is set. + */ + public boolean hasStructType() { + return detailsCase_ == 3; + } + /** + * + * + * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+   * provides type information for the struct's fields.
+   *
+ * + * .google.cloud.automl.v1beta1.StructType struct_type = 3; + * + * @return The structType. + */ + public com.google.cloud.automl.v1beta1.StructType getStructType() { + if (detailsCase_ == 3) { + return (com.google.cloud.automl.v1beta1.StructType) details_; + } + return com.google.cloud.automl.v1beta1.StructType.getDefaultInstance(); + } + /** + * + * + * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+   * provides type information for the struct's fields.
+   *
+ * + * .google.cloud.automl.v1beta1.StructType struct_type = 3; + */ + public com.google.cloud.automl.v1beta1.StructTypeOrBuilder getStructTypeOrBuilder() { + if (detailsCase_ == 3) { + return (com.google.cloud.automl.v1beta1.StructType) details_; + } + return com.google.cloud.automl.v1beta1.StructType.getDefaultInstance(); + } + + public static final int TIME_FORMAT_FIELD_NUMBER = 5; + /** + * + * + * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [TIMESTAMP][google.cloud.automl.v1beta1.TypeCode.TIMESTAMP]
+   * then `time_format` provides the format in which that time field is
+   * expressed. The time_format must either be one of:
+   * * `UNIX_SECONDS`
+   * * `UNIX_MILLISECONDS`
+   * * `UNIX_MICROSECONDS`
+   * * `UNIX_NANOSECONDS`
+   * (for respectively number of seconds, milliseconds, microseconds and
+   * nanoseconds since start of the Unix epoch);
+   * or be written in `strftime` syntax. If time_format is not set, then the
+   * default format as described on the type_code is used.
+   *
+ * + * string time_format = 5; + * + * @return The timeFormat. + */ + public java.lang.String getTimeFormat() { + java.lang.Object ref = ""; + if (detailsCase_ == 5) { + ref = details_; + } + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + if (detailsCase_ == 5) { + details_ = s; + } + return s; + } + } + /** + * + * + * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [TIMESTAMP][google.cloud.automl.v1beta1.TypeCode.TIMESTAMP]
+   * then `time_format` provides the format in which that time field is
+   * expressed. The time_format must either be one of:
+   * * `UNIX_SECONDS`
+   * * `UNIX_MILLISECONDS`
+   * * `UNIX_MICROSECONDS`
+   * * `UNIX_NANOSECONDS`
+   * (for respectively number of seconds, milliseconds, microseconds and
+   * nanoseconds since start of the Unix epoch);
+   * or be written in `strftime` syntax. If time_format is not set, then the
+   * default format as described on the type_code is used.
+   *
+ * + * string time_format = 5; + * + * @return The bytes for timeFormat. + */ + public com.google.protobuf.ByteString getTimeFormatBytes() { + java.lang.Object ref = ""; + if (detailsCase_ == 5) { + ref = details_; + } + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + if (detailsCase_ == 5) { + details_ = b; + } + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int TYPE_CODE_FIELD_NUMBER = 1; + private int typeCode_; + /** + * + * + * 
+   * Required. The [TypeCode][google.cloud.automl.v1beta1.TypeCode] for this type.
+   *
+ * + * .google.cloud.automl.v1beta1.TypeCode type_code = 1; + * + * @return The enum numeric value on the wire for typeCode. + */ + public int getTypeCodeValue() { + return typeCode_; + } + /** + * + * + * 
+   * Required. The [TypeCode][google.cloud.automl.v1beta1.TypeCode] for this type.
+   *
+ * + * .google.cloud.automl.v1beta1.TypeCode type_code = 1; + * + * @return The typeCode. + */ + public com.google.cloud.automl.v1beta1.TypeCode getTypeCode() { + @SuppressWarnings("deprecation") + com.google.cloud.automl.v1beta1.TypeCode result = + com.google.cloud.automl.v1beta1.TypeCode.valueOf(typeCode_); + return result == null ? com.google.cloud.automl.v1beta1.TypeCode.UNRECOGNIZED : result; + } + + public static final int NULLABLE_FIELD_NUMBER = 4; + private boolean nullable_; + /** + * + * + * 
+   * If true, this DataType can also be `NULL`. In .CSV files `NULL` value is
+   * expressed as an empty string.
+   *
+ * + * bool nullable = 4; + * + * @return The nullable. + */ + public boolean getNullable() { + return nullable_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (typeCode_ != com.google.cloud.automl.v1beta1.TypeCode.TYPE_CODE_UNSPECIFIED.getNumber()) { + output.writeEnum(1, typeCode_); + } + if (detailsCase_ == 2) { + output.writeMessage(2, (com.google.cloud.automl.v1beta1.DataType) details_); + } + if (detailsCase_ == 3) { + output.writeMessage(3, (com.google.cloud.automl.v1beta1.StructType) details_); + } + if (nullable_ != false) { + output.writeBool(4, nullable_); + } + if (detailsCase_ == 5) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 5, details_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (typeCode_ != com.google.cloud.automl.v1beta1.TypeCode.TYPE_CODE_UNSPECIFIED.getNumber()) { + size += com.google.protobuf.CodedOutputStream.computeEnumSize(1, typeCode_); + } + if (detailsCase_ == 2) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 2, (com.google.cloud.automl.v1beta1.DataType) details_); + } + if (detailsCase_ == 3) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 3, (com.google.cloud.automl.v1beta1.StructType) details_); + } + if (nullable_ != false) { + size += com.google.protobuf.CodedOutputStream.computeBoolSize(4, nullable_); + } + if (detailsCase_ == 5) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(5, details_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.DataType)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.DataType other = (com.google.cloud.automl.v1beta1.DataType) obj; + + if (typeCode_ != other.typeCode_) return false; + if (getNullable() != other.getNullable()) return false; + if (!getDetailsCase().equals(other.getDetailsCase())) return false; + switch (detailsCase_) { + case 2: + if (!getListElementType().equals(other.getListElementType())) return false; + break; + case 3: + if (!getStructType().equals(other.getStructType())) return false; + break; + case 5: + if (!getTimeFormat().equals(other.getTimeFormat())) return false; + break; + case 0: + default: + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + TYPE_CODE_FIELD_NUMBER; + hash = (53 * hash) + typeCode_; + hash = (37 * hash) + NULLABLE_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getNullable()); + switch (detailsCase_) { + case 2: + hash = (37 * hash) + LIST_ELEMENT_TYPE_FIELD_NUMBER; + hash = (53 * hash) + getListElementType().hashCode(); + break; + case 3: + hash = (37 * hash) + STRUCT_TYPE_FIELD_NUMBER; + hash = (53 * hash) + getStructType().hashCode(); + break; + case 5: + hash = (37 * hash) + TIME_FORMAT_FIELD_NUMBER; + hash = (53 * hash) + getTimeFormat().hashCode(); + break; + case 0: + default: + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.DataType parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DataType parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DataType parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DataType parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DataType parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DataType parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DataType parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DataType parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DataType parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DataType parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DataType parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DataType parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.DataType prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Indicated the type of data that can be stored in a structured data entity
+   * (e.g. a table).
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.DataType} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.DataType) + com.google.cloud.automl.v1beta1.DataTypeOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataTypes + .internal_static_google_cloud_automl_v1beta1_DataType_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataTypes + .internal_static_google_cloud_automl_v1beta1_DataType_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.DataType.class, + com.google.cloud.automl.v1beta1.DataType.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.DataType.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + typeCode_ = 0; + + nullable_ = false; + + detailsCase_ = 0; + details_ = null; + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataTypes + .internal_static_google_cloud_automl_v1beta1_DataType_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DataType getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.DataType.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DataType build() { + com.google.cloud.automl.v1beta1.DataType result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DataType buildPartial() { + com.google.cloud.automl.v1beta1.DataType result = + new com.google.cloud.automl.v1beta1.DataType(this); + if (detailsCase_ == 2) { + if (listElementTypeBuilder_ == null) { + result.details_ = details_; + } else { + result.details_ = listElementTypeBuilder_.build(); + } + } + if (detailsCase_ == 3) { + if (structTypeBuilder_ == null) { + result.details_ = details_; + } else { + result.details_ = structTypeBuilder_.build(); + } + } + if (detailsCase_ == 5) { + result.details_ = details_; + } + result.typeCode_ = typeCode_; + result.nullable_ = nullable_; + result.detailsCase_ = detailsCase_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.DataType) { + return mergeFrom((com.google.cloud.automl.v1beta1.DataType) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.DataType other) { + if (other == com.google.cloud.automl.v1beta1.DataType.getDefaultInstance()) return this; + if (other.typeCode_ != 0) { + setTypeCodeValue(other.getTypeCodeValue()); + } + if (other.getNullable() != false) { + setNullable(other.getNullable()); + } + switch (other.getDetailsCase()) { + case LIST_ELEMENT_TYPE: + { + mergeListElementType(other.getListElementType()); + break; + } + case STRUCT_TYPE: + { + mergeStructType(other.getStructType()); + break; + } + case TIME_FORMAT: + { + detailsCase_ = 5; + details_ = other.details_; + onChanged(); + break; + } + case DETAILS_NOT_SET: + { + break; + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.DataType parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.DataType) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int detailsCase_ = 0; + private java.lang.Object details_; + + public DetailsCase getDetailsCase() { + return DetailsCase.forNumber(detailsCase_); + } + + public Builder clearDetails() { + detailsCase_ = 0; + details_ = null; + onChanged(); + return this; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DataType, + com.google.cloud.automl.v1beta1.DataType.Builder, + com.google.cloud.automl.v1beta1.DataTypeOrBuilder> + listElementTypeBuilder_; + /** + * + * + * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+     * then `list_element_type` is the type of the elements.
+     *
+ * + * .google.cloud.automl.v1beta1.DataType list_element_type = 2; + * + * @return Whether the listElementType field is set. + */ + public boolean hasListElementType() { + return detailsCase_ == 2; + } + /** + * + * + * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+     * then `list_element_type` is the type of the elements.
+     *
+ * + * .google.cloud.automl.v1beta1.DataType list_element_type = 2; + * + * @return The listElementType. + */ + public com.google.cloud.automl.v1beta1.DataType getListElementType() { + if (listElementTypeBuilder_ == null) { + if (detailsCase_ == 2) { + return (com.google.cloud.automl.v1beta1.DataType) details_; + } + return com.google.cloud.automl.v1beta1.DataType.getDefaultInstance(); + } else { + if (detailsCase_ == 2) { + return listElementTypeBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.DataType.getDefaultInstance(); + } + } + /** + * + * + * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+     * then `list_element_type` is the type of the elements.
+     *
+ * + * .google.cloud.automl.v1beta1.DataType list_element_type = 2; + */ + public Builder setListElementType(com.google.cloud.automl.v1beta1.DataType value) { + if (listElementTypeBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + details_ = value; + onChanged(); + } else { + listElementTypeBuilder_.setMessage(value); + } + detailsCase_ = 2; + return this; + } + /** + * + * + * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+     * then `list_element_type` is the type of the elements.
+     *
+ * + * .google.cloud.automl.v1beta1.DataType list_element_type = 2; + */ + public Builder setListElementType( + com.google.cloud.automl.v1beta1.DataType.Builder builderForValue) { + if (listElementTypeBuilder_ == null) { + details_ = builderForValue.build(); + onChanged(); + } else { + listElementTypeBuilder_.setMessage(builderForValue.build()); + } + detailsCase_ = 2; + return this; + } + /** + * + * + * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+     * then `list_element_type` is the type of the elements.
+     *
+ * + * .google.cloud.automl.v1beta1.DataType list_element_type = 2; + */ + public Builder mergeListElementType(com.google.cloud.automl.v1beta1.DataType value) { + if (listElementTypeBuilder_ == null) { + if (detailsCase_ == 2 + && details_ != com.google.cloud.automl.v1beta1.DataType.getDefaultInstance()) { + details_ = + com.google.cloud.automl.v1beta1.DataType.newBuilder( + (com.google.cloud.automl.v1beta1.DataType) details_) + .mergeFrom(value) + .buildPartial(); + } else { + details_ = value; + } + onChanged(); + } else { + if (detailsCase_ == 2) { + listElementTypeBuilder_.mergeFrom(value); + } + listElementTypeBuilder_.setMessage(value); + } + detailsCase_ = 2; + return this; + } + /** + * + * + * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+     * then `list_element_type` is the type of the elements.
+     *
+ * + * .google.cloud.automl.v1beta1.DataType list_element_type = 2; + */ + public Builder clearListElementType() { + if (listElementTypeBuilder_ == null) { + if (detailsCase_ == 2) { + detailsCase_ = 0; + details_ = null; + onChanged(); + } + } else { + if (detailsCase_ == 2) { + detailsCase_ = 0; + details_ = null; + } + listElementTypeBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+     * then `list_element_type` is the type of the elements.
+     *
+ * + * .google.cloud.automl.v1beta1.DataType list_element_type = 2; + */ + public com.google.cloud.automl.v1beta1.DataType.Builder getListElementTypeBuilder() { + return getListElementTypeFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+     * then `list_element_type` is the type of the elements.
+     *
+ * + * .google.cloud.automl.v1beta1.DataType list_element_type = 2; + */ + public com.google.cloud.automl.v1beta1.DataTypeOrBuilder getListElementTypeOrBuilder() { + if ((detailsCase_ == 2) && (listElementTypeBuilder_ != null)) { + return listElementTypeBuilder_.getMessageOrBuilder(); + } else { + if (detailsCase_ == 2) { + return (com.google.cloud.automl.v1beta1.DataType) details_; + } + return com.google.cloud.automl.v1beta1.DataType.getDefaultInstance(); + } + } + /** + * + * + * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+     * then `list_element_type` is the type of the elements.
+     *
+ * + * .google.cloud.automl.v1beta1.DataType list_element_type = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DataType, + com.google.cloud.automl.v1beta1.DataType.Builder, + com.google.cloud.automl.v1beta1.DataTypeOrBuilder> + getListElementTypeFieldBuilder() { + if (listElementTypeBuilder_ == null) { + if (!(detailsCase_ == 2)) { + details_ = com.google.cloud.automl.v1beta1.DataType.getDefaultInstance(); + } + listElementTypeBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DataType, + com.google.cloud.automl.v1beta1.DataType.Builder, + com.google.cloud.automl.v1beta1.DataTypeOrBuilder>( + (com.google.cloud.automl.v1beta1.DataType) details_, + getParentForChildren(), + isClean()); + details_ = null; + } + detailsCase_ = 2; + onChanged(); + ; + return listElementTypeBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.StructType, + com.google.cloud.automl.v1beta1.StructType.Builder, + com.google.cloud.automl.v1beta1.StructTypeOrBuilder> + structTypeBuilder_; + /** + * + * + * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+     * provides type information for the struct's fields.
+     *
+ * + * .google.cloud.automl.v1beta1.StructType struct_type = 3; + * + * @return Whether the structType field is set. + */ + public boolean hasStructType() { + return detailsCase_ == 3; + } + /** + * + * + * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+     * provides type information for the struct's fields.
+     *
+ * + * .google.cloud.automl.v1beta1.StructType struct_type = 3; + * + * @return The structType. + */ + public com.google.cloud.automl.v1beta1.StructType getStructType() { + if (structTypeBuilder_ == null) { + if (detailsCase_ == 3) { + return (com.google.cloud.automl.v1beta1.StructType) details_; + } + return com.google.cloud.automl.v1beta1.StructType.getDefaultInstance(); + } else { + if (detailsCase_ == 3) { + return structTypeBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.StructType.getDefaultInstance(); + } + } + /** + * + * + * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+     * provides type information for the struct's fields.
+     *
+ * + * .google.cloud.automl.v1beta1.StructType struct_type = 3; + */ + public Builder setStructType(com.google.cloud.automl.v1beta1.StructType value) { + if (structTypeBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + details_ = value; + onChanged(); + } else { + structTypeBuilder_.setMessage(value); + } + detailsCase_ = 3; + return this; + } + /** + * + * + * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+     * provides type information for the struct's fields.
+     *
+ * + * .google.cloud.automl.v1beta1.StructType struct_type = 3; + */ + public Builder setStructType( + com.google.cloud.automl.v1beta1.StructType.Builder builderForValue) { + if (structTypeBuilder_ == null) { + details_ = builderForValue.build(); + onChanged(); + } else { + structTypeBuilder_.setMessage(builderForValue.build()); + } + detailsCase_ = 3; + return this; + } + /** + * + * + * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+     * provides type information for the struct's fields.
+     *
+ * + * .google.cloud.automl.v1beta1.StructType struct_type = 3; + */ + public Builder mergeStructType(com.google.cloud.automl.v1beta1.StructType value) { + if (structTypeBuilder_ == null) { + if (detailsCase_ == 3 + && details_ != com.google.cloud.automl.v1beta1.StructType.getDefaultInstance()) { + details_ = + com.google.cloud.automl.v1beta1.StructType.newBuilder( + (com.google.cloud.automl.v1beta1.StructType) details_) + .mergeFrom(value) + .buildPartial(); + } else { + details_ = value; + } + onChanged(); + } else { + if (detailsCase_ == 3) { + structTypeBuilder_.mergeFrom(value); + } + structTypeBuilder_.setMessage(value); + } + detailsCase_ = 3; + return this; + } + /** + * + * + * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+     * provides type information for the struct's fields.
+     *
+ * + * .google.cloud.automl.v1beta1.StructType struct_type = 3; + */ + public Builder clearStructType() { + if (structTypeBuilder_ == null) { + if (detailsCase_ == 3) { + detailsCase_ = 0; + details_ = null; + onChanged(); + } + } else { + if (detailsCase_ == 3) { + detailsCase_ = 0; + details_ = null; + } + structTypeBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+     * provides type information for the struct's fields.
+     *
+ * + * .google.cloud.automl.v1beta1.StructType struct_type = 3; + */ + public com.google.cloud.automl.v1beta1.StructType.Builder getStructTypeBuilder() { + return getStructTypeFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+     * provides type information for the struct's fields.
+     *
+ * + * .google.cloud.automl.v1beta1.StructType struct_type = 3; + */ + public com.google.cloud.automl.v1beta1.StructTypeOrBuilder getStructTypeOrBuilder() { + if ((detailsCase_ == 3) && (structTypeBuilder_ != null)) { + return structTypeBuilder_.getMessageOrBuilder(); + } else { + if (detailsCase_ == 3) { + return (com.google.cloud.automl.v1beta1.StructType) details_; + } + return com.google.cloud.automl.v1beta1.StructType.getDefaultInstance(); + } + } + /** + * + * + * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+     * provides type information for the struct's fields.
+     *
+ * + * .google.cloud.automl.v1beta1.StructType struct_type = 3; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.StructType, + com.google.cloud.automl.v1beta1.StructType.Builder, + com.google.cloud.automl.v1beta1.StructTypeOrBuilder> + getStructTypeFieldBuilder() { + if (structTypeBuilder_ == null) { + if (!(detailsCase_ == 3)) { + details_ = com.google.cloud.automl.v1beta1.StructType.getDefaultInstance(); + } + structTypeBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.StructType, + com.google.cloud.automl.v1beta1.StructType.Builder, + com.google.cloud.automl.v1beta1.StructTypeOrBuilder>( + (com.google.cloud.automl.v1beta1.StructType) details_, + getParentForChildren(), + isClean()); + details_ = null; + } + detailsCase_ = 3; + onChanged(); + ; + return structTypeBuilder_; + } + + /** + * + * + * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [TIMESTAMP][google.cloud.automl.v1beta1.TypeCode.TIMESTAMP]
+     * then `time_format` provides the format in which that time field is
+     * expressed. The time_format must either be one of:
+     * * `UNIX_SECONDS`
+     * * `UNIX_MILLISECONDS`
+     * * `UNIX_MICROSECONDS`
+     * * `UNIX_NANOSECONDS`
+     * (for respectively number of seconds, milliseconds, microseconds and
+     * nanoseconds since start of the Unix epoch);
+     * or be written in `strftime` syntax. If time_format is not set, then the
+     * default format as described on the type_code is used.
+     *
+ * + * string time_format = 5; + * + * @return The timeFormat. + */ + public java.lang.String getTimeFormat() { + java.lang.Object ref = ""; + if (detailsCase_ == 5) { + ref = details_; + } + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + if (detailsCase_ == 5) { + details_ = s; + } + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [TIMESTAMP][google.cloud.automl.v1beta1.TypeCode.TIMESTAMP]
+     * then `time_format` provides the format in which that time field is
+     * expressed. The time_format must either be one of:
+     * * `UNIX_SECONDS`
+     * * `UNIX_MILLISECONDS`
+     * * `UNIX_MICROSECONDS`
+     * * `UNIX_NANOSECONDS`
+     * (for respectively number of seconds, milliseconds, microseconds and
+     * nanoseconds since start of the Unix epoch);
+     * or be written in `strftime` syntax. If time_format is not set, then the
+     * default format as described on the type_code is used.
+     *
+ * + * string time_format = 5; + * + * @return The bytes for timeFormat. + */ + public com.google.protobuf.ByteString getTimeFormatBytes() { + java.lang.Object ref = ""; + if (detailsCase_ == 5) { + ref = details_; + } + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + if (detailsCase_ == 5) { + details_ = b; + } + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [TIMESTAMP][google.cloud.automl.v1beta1.TypeCode.TIMESTAMP]
+     * then `time_format` provides the format in which that time field is
+     * expressed. The time_format must either be one of:
+     * * `UNIX_SECONDS`
+     * * `UNIX_MILLISECONDS`
+     * * `UNIX_MICROSECONDS`
+     * * `UNIX_NANOSECONDS`
+     * (for respectively number of seconds, milliseconds, microseconds and
+     * nanoseconds since start of the Unix epoch);
+     * or be written in `strftime` syntax. If time_format is not set, then the
+     * default format as described on the type_code is used.
+     *
+ * + * string time_format = 5; + * + * @param value The timeFormat to set. + * @return This builder for chaining. + */ + public Builder setTimeFormat(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + detailsCase_ = 5; + details_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [TIMESTAMP][google.cloud.automl.v1beta1.TypeCode.TIMESTAMP]
+     * then `time_format` provides the format in which that time field is
+     * expressed. The time_format must either be one of:
+     * * `UNIX_SECONDS`
+     * * `UNIX_MILLISECONDS`
+     * * `UNIX_MICROSECONDS`
+     * * `UNIX_NANOSECONDS`
+     * (for respectively number of seconds, milliseconds, microseconds and
+     * nanoseconds since start of the Unix epoch);
+     * or be written in `strftime` syntax. If time_format is not set, then the
+     * default format as described on the type_code is used.
+     *
+ * + * string time_format = 5; + * + * @return This builder for chaining. + */ + public Builder clearTimeFormat() { + if (detailsCase_ == 5) { + detailsCase_ = 0; + details_ = null; + onChanged(); + } + return this; + } + /** + * + * + * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [TIMESTAMP][google.cloud.automl.v1beta1.TypeCode.TIMESTAMP]
+     * then `time_format` provides the format in which that time field is
+     * expressed. The time_format must either be one of:
+     * * `UNIX_SECONDS`
+     * * `UNIX_MILLISECONDS`
+     * * `UNIX_MICROSECONDS`
+     * * `UNIX_NANOSECONDS`
+     * (for respectively number of seconds, milliseconds, microseconds and
+     * nanoseconds since start of the Unix epoch);
+     * or be written in `strftime` syntax. If time_format is not set, then the
+     * default format as described on the type_code is used.
+     *
+ * + * string time_format = 5; + * + * @param value The bytes for timeFormat to set. + * @return This builder for chaining. + */ + public Builder setTimeFormatBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + detailsCase_ = 5; + details_ = value; + onChanged(); + return this; + } + + private int typeCode_ = 0; + /** + * + * + * 
+     * Required. The [TypeCode][google.cloud.automl.v1beta1.TypeCode] for this type.
+     *
+ * + * .google.cloud.automl.v1beta1.TypeCode type_code = 1; + * + * @return The enum numeric value on the wire for typeCode. + */ + public int getTypeCodeValue() { + return typeCode_; + } + /** + * + * + * 
+     * Required. The [TypeCode][google.cloud.automl.v1beta1.TypeCode] for this type.
+     *
+ * + * .google.cloud.automl.v1beta1.TypeCode type_code = 1; + * + * @param value The enum numeric value on the wire for typeCode to set. + * @return This builder for chaining. + */ + public Builder setTypeCodeValue(int value) { + typeCode_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The [TypeCode][google.cloud.automl.v1beta1.TypeCode] for this type.
+     *
+ * + * .google.cloud.automl.v1beta1.TypeCode type_code = 1; + * + * @return The typeCode. + */ + public com.google.cloud.automl.v1beta1.TypeCode getTypeCode() { + @SuppressWarnings("deprecation") + com.google.cloud.automl.v1beta1.TypeCode result = + com.google.cloud.automl.v1beta1.TypeCode.valueOf(typeCode_); + return result == null ? com.google.cloud.automl.v1beta1.TypeCode.UNRECOGNIZED : result; + } + /** + * + * + * 
+     * Required. The [TypeCode][google.cloud.automl.v1beta1.TypeCode] for this type.
+     *
+ * + * .google.cloud.automl.v1beta1.TypeCode type_code = 1; + * + * @param value The typeCode to set. + * @return This builder for chaining. + */ + public Builder setTypeCode(com.google.cloud.automl.v1beta1.TypeCode value) { + if (value == null) { + throw new NullPointerException(); + } + + typeCode_ = value.getNumber(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The [TypeCode][google.cloud.automl.v1beta1.TypeCode] for this type.
+     *
+ * + * .google.cloud.automl.v1beta1.TypeCode type_code = 1; + * + * @return This builder for chaining. + */ + public Builder clearTypeCode() { + + typeCode_ = 0; + onChanged(); + return this; + } + + private boolean nullable_; + /** + * + * + * 
+     * If true, this DataType can also be `NULL`. In .CSV files `NULL` value is
+     * expressed as an empty string.
+     *
+ * + * bool nullable = 4; + * + * @return The nullable. + */ + public boolean getNullable() { + return nullable_; + } + /** + * + * + * 
+     * If true, this DataType can also be `NULL`. In .CSV files `NULL` value is
+     * expressed as an empty string.
+     *
+ * + * bool nullable = 4; + * + * @param value The nullable to set. + * @return This builder for chaining. + */ + public Builder setNullable(boolean value) { + + nullable_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * If true, this DataType can also be `NULL`. In .CSV files `NULL` value is
+     * expressed as an empty string.
+     *
+ * + * bool nullable = 4; + * + * @return This builder for chaining. + */ + public Builder clearNullable() { + + nullable_ = false; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.DataType) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.DataType) + private static final com.google.cloud.automl.v1beta1.DataType DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.DataType(); + } + + public static com.google.cloud.automl.v1beta1.DataType getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public DataType parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new DataType(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DataType getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataTypeOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataTypeOrBuilder.java new file mode 100644 index 000000000..22ad50498 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataTypeOrBuilder.java @@ -0,0 +1,187 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_types.proto + +package com.google.cloud.automl.v1beta1; + +public interface DataTypeOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.DataType) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+   * then `list_element_type` is the type of the elements.
+   *
+ * + * .google.cloud.automl.v1beta1.DataType list_element_type = 2; + * + * @return Whether the listElementType field is set. + */ + boolean hasListElementType(); + /** + * + * + * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+   * then `list_element_type` is the type of the elements.
+   *
+ * + * .google.cloud.automl.v1beta1.DataType list_element_type = 2; + * + * @return The listElementType. + */ + com.google.cloud.automl.v1beta1.DataType getListElementType(); + /** + * + * + * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+   * then `list_element_type` is the type of the elements.
+   *
+ * + * .google.cloud.automl.v1beta1.DataType list_element_type = 2; + */ + com.google.cloud.automl.v1beta1.DataTypeOrBuilder getListElementTypeOrBuilder(); + + /** + * + * + * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+   * provides type information for the struct's fields.
+   *
+ * + * .google.cloud.automl.v1beta1.StructType struct_type = 3; + * + * @return Whether the structType field is set. + */ + boolean hasStructType(); + /** + * + * + * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+   * provides type information for the struct's fields.
+   *
+ * + * .google.cloud.automl.v1beta1.StructType struct_type = 3; + * + * @return The structType. + */ + com.google.cloud.automl.v1beta1.StructType getStructType(); + /** + * + * + * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+   * provides type information for the struct's fields.
+   *
+ * + * .google.cloud.automl.v1beta1.StructType struct_type = 3; + */ + com.google.cloud.automl.v1beta1.StructTypeOrBuilder getStructTypeOrBuilder(); + + /** + * + * + * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [TIMESTAMP][google.cloud.automl.v1beta1.TypeCode.TIMESTAMP]
+   * then `time_format` provides the format in which that time field is
+   * expressed. The time_format must either be one of:
+   * * `UNIX_SECONDS`
+   * * `UNIX_MILLISECONDS`
+   * * `UNIX_MICROSECONDS`
+   * * `UNIX_NANOSECONDS`
+   * (for respectively number of seconds, milliseconds, microseconds and
+   * nanoseconds since start of the Unix epoch);
+   * or be written in `strftime` syntax. If time_format is not set, then the
+   * default format as described on the type_code is used.
+   *
+ * + * string time_format = 5; + * + * @return The timeFormat. + */ + java.lang.String getTimeFormat(); + /** + * + * + * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [TIMESTAMP][google.cloud.automl.v1beta1.TypeCode.TIMESTAMP]
+   * then `time_format` provides the format in which that time field is
+   * expressed. The time_format must either be one of:
+   * * `UNIX_SECONDS`
+   * * `UNIX_MILLISECONDS`
+   * * `UNIX_MICROSECONDS`
+   * * `UNIX_NANOSECONDS`
+   * (for respectively number of seconds, milliseconds, microseconds and
+   * nanoseconds since start of the Unix epoch);
+   * or be written in `strftime` syntax. If time_format is not set, then the
+   * default format as described on the type_code is used.
+   *
+ * + * string time_format = 5; + * + * @return The bytes for timeFormat. + */ + com.google.protobuf.ByteString getTimeFormatBytes(); + + /** + * + * + * 
+   * Required. The [TypeCode][google.cloud.automl.v1beta1.TypeCode] for this type.
+   *
+ * + * .google.cloud.automl.v1beta1.TypeCode type_code = 1; + * + * @return The enum numeric value on the wire for typeCode. + */ + int getTypeCodeValue(); + /** + * + * + * 
+   * Required. The [TypeCode][google.cloud.automl.v1beta1.TypeCode] for this type.
+   *
+ * + * .google.cloud.automl.v1beta1.TypeCode type_code = 1; + * + * @return The typeCode. + */ + com.google.cloud.automl.v1beta1.TypeCode getTypeCode(); + + /** + * + * + * 
+   * If true, this DataType can also be `NULL`. In .CSV files `NULL` value is
+   * expressed as an empty string.
+   *
+ * + * bool nullable = 4; + * + * @return The nullable. + */ + boolean getNullable(); + + public com.google.cloud.automl.v1beta1.DataType.DetailsCase getDetailsCase(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataTypes.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataTypes.java new file mode 100644 index 000000000..bccecd06e --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataTypes.java @@ -0,0 +1,107 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_types.proto + +package com.google.cloud.automl.v1beta1; + +public final class DataTypes { + private DataTypes() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_DataType_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_DataType_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_StructType_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_StructType_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_StructType_FieldsEntry_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_StructType_FieldsEntry_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n,google/cloud/automl/v1beta1/data_types" + + ".proto\022\033google.cloud.automl.v1beta1\032\034goo" + + "gle/api/annotations.proto\"\374\001\n\010DataType\022B" + + "\n\021list_element_type\030\002 \001(\0132%.google.cloud" + + ".automl.v1beta1.DataTypeH\000\022>\n\013struct_typ" + + "e\030\003 \001(\0132\'.google.cloud.automl.v1beta1.St" + + "ructTypeH\000\022\025\n\013time_format\030\005 \001(\tH\000\0228\n\ttyp" + + "e_code\030\001 \001(\0162%.google.cloud.automl.v1bet" + + "a1.TypeCode\022\020\n\010nullable\030\004 \001(\010B\t\n\007details" + + "\"\247\001\n\nStructType\022C\n\006fields\030\001 \003(\01323.google" + + ".cloud.automl.v1beta1.StructType.FieldsE" + + "ntry\032T\n\013FieldsEntry\022\013\n\003key\030\001 \001(\t\0224\n\005valu" + + "e\030\002 \001(\0132%.google.cloud.automl.v1beta1.Da" + + "taType:\0028\001*r\n\010TypeCode\022\031\n\025TYPE_CODE_UNSP" + + "ECIFIED\020\000\022\013\n\007FLOAT64\020\003\022\r\n\tTIMESTAMP\020\004\022\n\n" + + "\006STRING\020\006\022\t\n\005ARRAY\020\010\022\n\n\006STRUCT\020\t\022\014\n\010CATE" + + "GORY\020\nB\245\001\n\037com.google.cloud.automl.v1bet" + + "a1P\001ZAgoogle.golang.org/genproto/googlea" + + "pis/cloud/automl/v1beta1;automl\312\002\033Google" + + "\\Cloud\\AutoMl\\V1beta1\352\002\036Google::Cloud::A" + + "utoML::V1beta1b\006proto3" + }; + descriptor = + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.api.AnnotationsProto.getDescriptor(), + }); + internal_static_google_cloud_automl_v1beta1_DataType_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_DataType_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_DataType_descriptor, + new java.lang.String[] { + "ListElementType", "StructType", "TimeFormat", "TypeCode", "Nullable", "Details", + }); + internal_static_google_cloud_automl_v1beta1_StructType_descriptor = + getDescriptor().getMessageTypes().get(1); + internal_static_google_cloud_automl_v1beta1_StructType_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_StructType_descriptor, + new java.lang.String[] { + "Fields", + }); + internal_static_google_cloud_automl_v1beta1_StructType_FieldsEntry_descriptor = + internal_static_google_cloud_automl_v1beta1_StructType_descriptor.getNestedTypes().get(0); + internal_static_google_cloud_automl_v1beta1_StructType_FieldsEntry_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_StructType_FieldsEntry_descriptor, + new java.lang.String[] { + "Key", "Value", + }); + com.google.api.AnnotationsProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Dataset.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Dataset.java new file mode 100644 index 000000000..0891ac3c2 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Dataset.java @@ -0,0 +1,4749 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/dataset.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * A workspace for solving a single, particular machine learning (ML) problem.
+ * A workspace contains examples that may be annotated.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.Dataset} + */ +public final class Dataset extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.Dataset) + DatasetOrBuilder { + private static final long serialVersionUID = 0L; + // Use Dataset.newBuilder() to construct. + private Dataset(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private Dataset() { + name_ = ""; + displayName_ = ""; + description_ = ""; + etag_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new Dataset(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private Dataset( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + name_ = s; + break; + } + case 18: + { + java.lang.String s = input.readStringRequireUtf8(); + + displayName_ = s; + break; + } + case 26: + { + java.lang.String s = input.readStringRequireUtf8(); + + description_ = s; + break; + } + case 114: + { + com.google.protobuf.Timestamp.Builder subBuilder = null; + if (createTime_ != null) { + subBuilder = createTime_.toBuilder(); + } + createTime_ = + input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(createTime_); + createTime_ = subBuilder.buildPartial(); + } + + break; + } + case 138: + { + java.lang.String s = input.readStringRequireUtf8(); + + etag_ = s; + break; + } + case 168: + { + exampleCount_ = input.readInt32(); + break; + } + case 186: + { + com.google.cloud.automl.v1beta1.TranslationDatasetMetadata.Builder subBuilder = null; + if (datasetMetadataCase_ == 23) { + subBuilder = + ((com.google.cloud.automl.v1beta1.TranslationDatasetMetadata) datasetMetadata_) + .toBuilder(); + } + datasetMetadata_ = + input.readMessage( + com.google.cloud.automl.v1beta1.TranslationDatasetMetadata.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.TranslationDatasetMetadata) datasetMetadata_); + datasetMetadata_ = subBuilder.buildPartial(); + } + datasetMetadataCase_ = 23; + break; + } + case 194: + { + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata.Builder + subBuilder = null; + if (datasetMetadataCase_ == 24) { + subBuilder = + ((com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata) + datasetMetadata_) + .toBuilder(); + } + datasetMetadata_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata) + datasetMetadata_); + datasetMetadata_ = subBuilder.buildPartial(); + } + datasetMetadataCase_ = 24; + break; + } + case 202: + { + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.Builder subBuilder = + null; + if (datasetMetadataCase_ == 25) { + subBuilder = + ((com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata) + datasetMetadata_) + .toBuilder(); + } + datasetMetadata_ = + input.readMessage( + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata) + datasetMetadata_); + datasetMetadata_ = subBuilder.buildPartial(); + } + datasetMetadataCase_ = 25; + break; + } + case 210: + { + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.Builder + subBuilder = null; + if (datasetMetadataCase_ == 26) { + subBuilder = + ((com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata) + datasetMetadata_) + .toBuilder(); + } + datasetMetadata_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata) + datasetMetadata_); + datasetMetadata_ = subBuilder.buildPartial(); + } + datasetMetadataCase_ = 26; + break; + } + case 226: + { + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.Builder subBuilder = + null; + if (datasetMetadataCase_ == 28) { + subBuilder = + ((com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) + datasetMetadata_) + .toBuilder(); + } + datasetMetadata_ = + input.readMessage( + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) + datasetMetadata_); + datasetMetadata_ = subBuilder.buildPartial(); + } + datasetMetadataCase_ = 28; + break; + } + case 234: + { + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata.Builder + subBuilder = null; + if (datasetMetadataCase_ == 29) { + subBuilder = + ((com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata) + datasetMetadata_) + .toBuilder(); + } + datasetMetadata_ = + input.readMessage( + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata) + datasetMetadata_); + datasetMetadata_ = subBuilder.buildPartial(); + } + datasetMetadataCase_ = 29; + break; + } + case 242: + { + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.Builder subBuilder = + null; + if (datasetMetadataCase_ == 30) { + subBuilder = + ((com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) + datasetMetadata_) + .toBuilder(); + } + datasetMetadata_ = + input.readMessage( + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) + datasetMetadata_); + datasetMetadata_ = subBuilder.buildPartial(); + } + datasetMetadataCase_ = 30; + break; + } + case 250: + { + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.Builder + subBuilder = null; + if (datasetMetadataCase_ == 31) { + subBuilder = + ((com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) + datasetMetadata_) + .toBuilder(); + } + datasetMetadata_ = + input.readMessage( + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) + datasetMetadata_); + datasetMetadata_ = subBuilder.buildPartial(); + } + datasetMetadataCase_ = 31; + break; + } + case 266: + { + com.google.cloud.automl.v1beta1.TablesDatasetMetadata.Builder subBuilder = null; + if (datasetMetadataCase_ == 33) { + subBuilder = + ((com.google.cloud.automl.v1beta1.TablesDatasetMetadata) datasetMetadata_) + .toBuilder(); + } + datasetMetadata_ = + input.readMessage( + com.google.cloud.automl.v1beta1.TablesDatasetMetadata.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.TablesDatasetMetadata) datasetMetadata_); + datasetMetadata_ = subBuilder.buildPartial(); + } + datasetMetadataCase_ = 33; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DatasetOuterClass + .internal_static_google_cloud_automl_v1beta1_Dataset_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DatasetOuterClass + .internal_static_google_cloud_automl_v1beta1_Dataset_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.Dataset.class, + com.google.cloud.automl.v1beta1.Dataset.Builder.class); + } + + private int datasetMetadataCase_ = 0; + private java.lang.Object datasetMetadata_; + + public enum DatasetMetadataCase + implements + com.google.protobuf.Internal.EnumLite, + com.google.protobuf.AbstractMessage.InternalOneOfEnum { + TRANSLATION_DATASET_METADATA(23), + IMAGE_CLASSIFICATION_DATASET_METADATA(24), + TEXT_CLASSIFICATION_DATASET_METADATA(25), + IMAGE_OBJECT_DETECTION_DATASET_METADATA(26), + VIDEO_CLASSIFICATION_DATASET_METADATA(31), + VIDEO_OBJECT_TRACKING_DATASET_METADATA(29), + TEXT_EXTRACTION_DATASET_METADATA(28), + TEXT_SENTIMENT_DATASET_METADATA(30), + TABLES_DATASET_METADATA(33), + DATASETMETADATA_NOT_SET(0); + private final int value; + + private DatasetMetadataCase(int value) { + this.value = value; + } + /** + * @param value The number of the enum to look for. + * @return The enum associated with the given number. + * @deprecated Use {@link #forNumber(int)} instead. + */ + @java.lang.Deprecated + public static DatasetMetadataCase valueOf(int value) { + return forNumber(value); + } + + public static DatasetMetadataCase forNumber(int value) { + switch (value) { + case 23: + return TRANSLATION_DATASET_METADATA; + case 24: + return IMAGE_CLASSIFICATION_DATASET_METADATA; + case 25: + return TEXT_CLASSIFICATION_DATASET_METADATA; + case 26: + return IMAGE_OBJECT_DETECTION_DATASET_METADATA; + case 31: + return VIDEO_CLASSIFICATION_DATASET_METADATA; + case 29: + return VIDEO_OBJECT_TRACKING_DATASET_METADATA; + case 28: + return TEXT_EXTRACTION_DATASET_METADATA; + case 30: + return TEXT_SENTIMENT_DATASET_METADATA; + case 33: + return TABLES_DATASET_METADATA; + case 0: + return DATASETMETADATA_NOT_SET; + default: + return null; + } + } + + public int getNumber() { + return this.value; + } + }; + + public DatasetMetadataCase getDatasetMetadataCase() { + return DatasetMetadataCase.forNumber(datasetMetadataCase_); + } + + public static final int TRANSLATION_DATASET_METADATA_FIELD_NUMBER = 23; + /** + * + * + * 
+   * Metadata for a dataset used for translation.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TranslationDatasetMetadata translation_dataset_metadata = 23; + * + * + * @return Whether the translationDatasetMetadata field is set. + */ + public boolean hasTranslationDatasetMetadata() { + return datasetMetadataCase_ == 23; + } + /** + * + * + * 
+   * Metadata for a dataset used for translation.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TranslationDatasetMetadata translation_dataset_metadata = 23; + * + * + * @return The translationDatasetMetadata. + */ + public com.google.cloud.automl.v1beta1.TranslationDatasetMetadata + getTranslationDatasetMetadata() { + if (datasetMetadataCase_ == 23) { + return (com.google.cloud.automl.v1beta1.TranslationDatasetMetadata) datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.TranslationDatasetMetadata.getDefaultInstance(); + } + /** + * + * + * 
+   * Metadata for a dataset used for translation.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TranslationDatasetMetadata translation_dataset_metadata = 23; + * + */ + public com.google.cloud.automl.v1beta1.TranslationDatasetMetadataOrBuilder + getTranslationDatasetMetadataOrBuilder() { + if (datasetMetadataCase_ == 23) { + return (com.google.cloud.automl.v1beta1.TranslationDatasetMetadata) datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.TranslationDatasetMetadata.getDefaultInstance(); + } + + public static final int IMAGE_CLASSIFICATION_DATASET_METADATA_FIELD_NUMBER = 24; + /** + * + * + * 
+   * Metadata for a dataset used for image classification.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24; + * + * + * @return Whether the imageClassificationDatasetMetadata field is set. + */ + public boolean hasImageClassificationDatasetMetadata() { + return datasetMetadataCase_ == 24; + } + /** + * + * + * 
+   * Metadata for a dataset used for image classification.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24; + * + * + * @return The imageClassificationDatasetMetadata. + */ + public com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata + getImageClassificationDatasetMetadata() { + if (datasetMetadataCase_ == 24) { + return (com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata) datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata.getDefaultInstance(); + } + /** + * + * + * 
+   * Metadata for a dataset used for image classification.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24; + * + */ + public com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadataOrBuilder + getImageClassificationDatasetMetadataOrBuilder() { + if (datasetMetadataCase_ == 24) { + return (com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata) datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata.getDefaultInstance(); + } + + public static final int TEXT_CLASSIFICATION_DATASET_METADATA_FIELD_NUMBER = 25; + /** + * + * + * 
+   * Metadata for a dataset used for text classification.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25; + * + * + * @return Whether the textClassificationDatasetMetadata field is set. + */ + public boolean hasTextClassificationDatasetMetadata() { + return datasetMetadataCase_ == 25; + } + /** + * + * + * 
+   * Metadata for a dataset used for text classification.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25; + * + * + * @return The textClassificationDatasetMetadata. + */ + public com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata + getTextClassificationDatasetMetadata() { + if (datasetMetadataCase_ == 25) { + return (com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata) datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.getDefaultInstance(); + } + /** + * + * + * 
+   * Metadata for a dataset used for text classification.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25; + * + */ + public com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadataOrBuilder + getTextClassificationDatasetMetadataOrBuilder() { + if (datasetMetadataCase_ == 25) { + return (com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata) datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.getDefaultInstance(); + } + + public static final int IMAGE_OBJECT_DETECTION_DATASET_METADATA_FIELD_NUMBER = 26; + /** + * + * + * 
+   * Metadata for a dataset used for image object detection.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26; + * + * + * @return Whether the imageObjectDetectionDatasetMetadata field is set. + */ + public boolean hasImageObjectDetectionDatasetMetadata() { + return datasetMetadataCase_ == 26; + } + /** + * + * + * 
+   * Metadata for a dataset used for image object detection.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26; + * + * + * @return The imageObjectDetectionDatasetMetadata. + */ + public com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata + getImageObjectDetectionDatasetMetadata() { + if (datasetMetadataCase_ == 26) { + return (com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata) datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.getDefaultInstance(); + } + /** + * + * + * 
+   * Metadata for a dataset used for image object detection.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26; + * + */ + public com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadataOrBuilder + getImageObjectDetectionDatasetMetadataOrBuilder() { + if (datasetMetadataCase_ == 26) { + return (com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata) datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.getDefaultInstance(); + } + + public static final int VIDEO_CLASSIFICATION_DATASET_METADATA_FIELD_NUMBER = 31; + /** + * + * + * 
+   * Metadata for a dataset used for video classification.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31; + * + * + * @return Whether the videoClassificationDatasetMetadata field is set. + */ + public boolean hasVideoClassificationDatasetMetadata() { + return datasetMetadataCase_ == 31; + } + /** + * + * + * 
+   * Metadata for a dataset used for video classification.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31; + * + * + * @return The videoClassificationDatasetMetadata. + */ + public com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata + getVideoClassificationDatasetMetadata() { + if (datasetMetadataCase_ == 31) { + return (com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.getDefaultInstance(); + } + /** + * + * + * 
+   * Metadata for a dataset used for video classification.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31; + * + */ + public com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadataOrBuilder + getVideoClassificationDatasetMetadataOrBuilder() { + if (datasetMetadataCase_ == 31) { + return (com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.getDefaultInstance(); + } + + public static final int VIDEO_OBJECT_TRACKING_DATASET_METADATA_FIELD_NUMBER = 29; + /** + * + * + * 
+   * Metadata for a dataset used for video object tracking.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata video_object_tracking_dataset_metadata = 29; + * + * + * @return Whether the videoObjectTrackingDatasetMetadata field is set. + */ + public boolean hasVideoObjectTrackingDatasetMetadata() { + return datasetMetadataCase_ == 29; + } + /** + * + * + * 
+   * Metadata for a dataset used for video object tracking.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata video_object_tracking_dataset_metadata = 29; + * + * + * @return The videoObjectTrackingDatasetMetadata. + */ + public com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata + getVideoObjectTrackingDatasetMetadata() { + if (datasetMetadataCase_ == 29) { + return (com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata) datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata.getDefaultInstance(); + } + /** + * + * + * 
+   * Metadata for a dataset used for video object tracking.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata video_object_tracking_dataset_metadata = 29; + * + */ + public com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadataOrBuilder + getVideoObjectTrackingDatasetMetadataOrBuilder() { + if (datasetMetadataCase_ == 29) { + return (com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata) datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata.getDefaultInstance(); + } + + public static final int TEXT_EXTRACTION_DATASET_METADATA_FIELD_NUMBER = 28; + /** + * + * + * 
+   * Metadata for a dataset used for text extraction.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28; + * + * + * @return Whether the textExtractionDatasetMetadata field is set. + */ + public boolean hasTextExtractionDatasetMetadata() { + return datasetMetadataCase_ == 28; + } + /** + * + * + * 
+   * Metadata for a dataset used for text extraction.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28; + * + * + * @return The textExtractionDatasetMetadata. + */ + public com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata + getTextExtractionDatasetMetadata() { + if (datasetMetadataCase_ == 28) { + return (com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.getDefaultInstance(); + } + /** + * + * + * 
+   * Metadata for a dataset used for text extraction.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28; + * + */ + public com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadataOrBuilder + getTextExtractionDatasetMetadataOrBuilder() { + if (datasetMetadataCase_ == 28) { + return (com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.getDefaultInstance(); + } + + public static final int TEXT_SENTIMENT_DATASET_METADATA_FIELD_NUMBER = 30; + /** + * + * + * 
+   * Metadata for a dataset used for text sentiment.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30; + * + * + * @return Whether the textSentimentDatasetMetadata field is set. + */ + public boolean hasTextSentimentDatasetMetadata() { + return datasetMetadataCase_ == 30; + } + /** + * + * + * 
+   * Metadata for a dataset used for text sentiment.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30; + * + * + * @return The textSentimentDatasetMetadata. + */ + public com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata + getTextSentimentDatasetMetadata() { + if (datasetMetadataCase_ == 30) { + return (com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.getDefaultInstance(); + } + /** + * + * + * 
+   * Metadata for a dataset used for text sentiment.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30; + * + */ + public com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadataOrBuilder + getTextSentimentDatasetMetadataOrBuilder() { + if (datasetMetadataCase_ == 30) { + return (com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.getDefaultInstance(); + } + + public static final int TABLES_DATASET_METADATA_FIELD_NUMBER = 33; + /** + * + * + * 
+   * Metadata for a dataset used for Tables.
+   *
+ * + * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33; + * + * @return Whether the tablesDatasetMetadata field is set. + */ + public boolean hasTablesDatasetMetadata() { + return datasetMetadataCase_ == 33; + } + /** + * + * + * 
+   * Metadata for a dataset used for Tables.
+   *
+ * + * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33; + * + * @return The tablesDatasetMetadata. + */ + public com.google.cloud.automl.v1beta1.TablesDatasetMetadata getTablesDatasetMetadata() { + if (datasetMetadataCase_ == 33) { + return (com.google.cloud.automl.v1beta1.TablesDatasetMetadata) datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.TablesDatasetMetadata.getDefaultInstance(); + } + /** + * + * + * 
+   * Metadata for a dataset used for Tables.
+   *
+ * + * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33; + */ + public com.google.cloud.automl.v1beta1.TablesDatasetMetadataOrBuilder + getTablesDatasetMetadataOrBuilder() { + if (datasetMetadataCase_ == 33) { + return (com.google.cloud.automl.v1beta1.TablesDatasetMetadata) datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.TablesDatasetMetadata.getDefaultInstance(); + } + + public static final int NAME_FIELD_NUMBER = 1; + private volatile java.lang.Object name_; + /** + * + * + * 
+   * Output only. The resource name of the dataset.
+   * Form: `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`
+   *
+ * + * string name = 1; + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } + } + /** + * + * + * 
+   * Output only. The resource name of the dataset.
+   * Form: `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`
+   *
+ * + * string name = 1; + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int DISPLAY_NAME_FIELD_NUMBER = 2; + private volatile java.lang.Object displayName_; + /** + * + * + * 
+   * Required. The name of the dataset to show in the interface. The name can be
+   * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+   * and a-z, underscores
+   * (_), and ASCII digits 0-9.
+   *
+ * + * string display_name = 2; + * + * @return The displayName. + */ + public java.lang.String getDisplayName() { + java.lang.Object ref = displayName_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + displayName_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. The name of the dataset to show in the interface. The name can be
+   * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+   * and a-z, underscores
+   * (_), and ASCII digits 0-9.
+   *
+ * + * string display_name = 2; + * + * @return The bytes for displayName. + */ + public com.google.protobuf.ByteString getDisplayNameBytes() { + java.lang.Object ref = displayName_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + displayName_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int DESCRIPTION_FIELD_NUMBER = 3; + private volatile java.lang.Object description_; + /** + * + * + * 
+   * User-provided description of the dataset. The description can be up to
+   * 25000 characters long.
+   *
+ * + * string description = 3; + * + * @return The description. + */ + public java.lang.String getDescription() { + java.lang.Object ref = description_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + description_ = s; + return s; + } + } + /** + * + * + * 
+   * User-provided description of the dataset. The description can be up to
+   * 25000 characters long.
+   *
+ * + * string description = 3; + * + * @return The bytes for description. + */ + public com.google.protobuf.ByteString getDescriptionBytes() { + java.lang.Object ref = description_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + description_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int EXAMPLE_COUNT_FIELD_NUMBER = 21; + private int exampleCount_; + /** + * + * + * 
+   * Output only. The number of examples in the dataset.
+   *
+ * + * int32 example_count = 21; + * + * @return The exampleCount. + */ + public int getExampleCount() { + return exampleCount_; + } + + public static final int CREATE_TIME_FIELD_NUMBER = 14; + private com.google.protobuf.Timestamp createTime_; + /** + * + * + * 
+   * Output only. Timestamp when this dataset was created.
+   *
+ * + * .google.protobuf.Timestamp create_time = 14; + * + * @return Whether the createTime field is set. + */ + public boolean hasCreateTime() { + return createTime_ != null; + } + /** + * + * + * 
+   * Output only. Timestamp when this dataset was created.
+   *
+ * + * .google.protobuf.Timestamp create_time = 14; + * + * @return The createTime. + */ + public com.google.protobuf.Timestamp getCreateTime() { + return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_; + } + /** + * + * + * 
+   * Output only. Timestamp when this dataset was created.
+   *
+ * + * .google.protobuf.Timestamp create_time = 14; + */ + public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() { + return getCreateTime(); + } + + public static final int ETAG_FIELD_NUMBER = 17; + private volatile java.lang.Object etag_; + /** + * + * + * 
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   *
+ * + * string etag = 17; + * + * @return The etag. + */ + public java.lang.String getEtag() { + java.lang.Object ref = etag_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + etag_ = s; + return s; + } + } + /** + * + * + * 
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   *
+ * + * string etag = 17; + * + * @return The bytes for etag. + */ + public com.google.protobuf.ByteString getEtagBytes() { + java.lang.Object ref = etag_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + etag_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_); + } + if (!getDisplayNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 2, displayName_); + } + if (!getDescriptionBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 3, description_); + } + if (createTime_ != null) { + output.writeMessage(14, getCreateTime()); + } + if (!getEtagBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 17, etag_); + } + if (exampleCount_ != 0) { + output.writeInt32(21, exampleCount_); + } + if (datasetMetadataCase_ == 23) { + output.writeMessage( + 23, (com.google.cloud.automl.v1beta1.TranslationDatasetMetadata) datasetMetadata_); + } + if (datasetMetadataCase_ == 24) { + output.writeMessage( + 24, + (com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata) datasetMetadata_); + } + if (datasetMetadataCase_ == 25) { + output.writeMessage( + 25, (com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata) datasetMetadata_); + } + if (datasetMetadataCase_ == 26) { + output.writeMessage( + 26, + (com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata) datasetMetadata_); + } + if (datasetMetadataCase_ == 28) { + output.writeMessage( + 28, (com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) datasetMetadata_); + } + if (datasetMetadataCase_ == 29) { + output.writeMessage( + 29, + (com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata) datasetMetadata_); + } + if (datasetMetadataCase_ == 30) { + output.writeMessage( + 30, (com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) datasetMetadata_); + } + if (datasetMetadataCase_ == 31) { + output.writeMessage( + 31, + (com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) datasetMetadata_); + } + if (datasetMetadataCase_ == 33) { + output.writeMessage( + 33, (com.google.cloud.automl.v1beta1.TablesDatasetMetadata) datasetMetadata_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_); + } + if (!getDisplayNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, displayName_); + } + if (!getDescriptionBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, description_); + } + if (createTime_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(14, getCreateTime()); + } + if (!getEtagBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(17, etag_); + } + if (exampleCount_ != 0) { + size += com.google.protobuf.CodedOutputStream.computeInt32Size(21, exampleCount_); + } + if (datasetMetadataCase_ == 23) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 23, (com.google.cloud.automl.v1beta1.TranslationDatasetMetadata) datasetMetadata_); + } + if (datasetMetadataCase_ == 24) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 24, + (com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata) + datasetMetadata_); + } + if (datasetMetadataCase_ == 25) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 25, + (com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata) datasetMetadata_); + } + if (datasetMetadataCase_ == 26) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 26, + (com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata) + datasetMetadata_); + } + if (datasetMetadataCase_ == 28) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 28, (com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) datasetMetadata_); + } + if (datasetMetadataCase_ == 29) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 29, + (com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata) + datasetMetadata_); + } + if (datasetMetadataCase_ == 30) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 30, (com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) datasetMetadata_); + } + if (datasetMetadataCase_ == 31) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 31, + (com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) + datasetMetadata_); + } + if (datasetMetadataCase_ == 33) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 33, (com.google.cloud.automl.v1beta1.TablesDatasetMetadata) datasetMetadata_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.Dataset)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.Dataset other = (com.google.cloud.automl.v1beta1.Dataset) obj; + + if (!getName().equals(other.getName())) return false; + if (!getDisplayName().equals(other.getDisplayName())) return false; + if (!getDescription().equals(other.getDescription())) return false; + if (getExampleCount() != other.getExampleCount()) return false; + if (hasCreateTime() != other.hasCreateTime()) return false; + if (hasCreateTime()) { + if (!getCreateTime().equals(other.getCreateTime())) return false; + } + if (!getEtag().equals(other.getEtag())) return false; + if (!getDatasetMetadataCase().equals(other.getDatasetMetadataCase())) return false; + switch (datasetMetadataCase_) { + case 23: + if (!getTranslationDatasetMetadata().equals(other.getTranslationDatasetMetadata())) + return false; + break; + case 24: + if (!getImageClassificationDatasetMetadata() + .equals(other.getImageClassificationDatasetMetadata())) return false; + break; + case 25: + if (!getTextClassificationDatasetMetadata() + .equals(other.getTextClassificationDatasetMetadata())) return false; + break; + case 26: + if (!getImageObjectDetectionDatasetMetadata() + .equals(other.getImageObjectDetectionDatasetMetadata())) return false; + break; + case 31: + if (!getVideoClassificationDatasetMetadata() + .equals(other.getVideoClassificationDatasetMetadata())) return false; + break; + case 29: + if (!getVideoObjectTrackingDatasetMetadata() + .equals(other.getVideoObjectTrackingDatasetMetadata())) return false; + break; + case 28: + if (!getTextExtractionDatasetMetadata().equals(other.getTextExtractionDatasetMetadata())) + return false; + break; + case 30: + if (!getTextSentimentDatasetMetadata().equals(other.getTextSentimentDatasetMetadata())) + return false; + break; + case 33: + if (!getTablesDatasetMetadata().equals(other.getTablesDatasetMetadata())) return false; + break; + case 0: + default: + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + NAME_FIELD_NUMBER; + hash = (53 * hash) + getName().hashCode(); + hash = (37 * hash) + DISPLAY_NAME_FIELD_NUMBER; + hash = (53 * hash) + getDisplayName().hashCode(); + hash = (37 * hash) + DESCRIPTION_FIELD_NUMBER; + hash = (53 * hash) + getDescription().hashCode(); + hash = (37 * hash) + EXAMPLE_COUNT_FIELD_NUMBER; + hash = (53 * hash) + getExampleCount(); + if (hasCreateTime()) { + hash = (37 * hash) + CREATE_TIME_FIELD_NUMBER; + hash = (53 * hash) + getCreateTime().hashCode(); + } + hash = (37 * hash) + ETAG_FIELD_NUMBER; + hash = (53 * hash) + getEtag().hashCode(); + switch (datasetMetadataCase_) { + case 23: + hash = (37 * hash) + TRANSLATION_DATASET_METADATA_FIELD_NUMBER; + hash = (53 * hash) + getTranslationDatasetMetadata().hashCode(); + break; + case 24: + hash = (37 * hash) + IMAGE_CLASSIFICATION_DATASET_METADATA_FIELD_NUMBER; + hash = (53 * hash) + getImageClassificationDatasetMetadata().hashCode(); + break; + case 25: + hash = (37 * hash) + TEXT_CLASSIFICATION_DATASET_METADATA_FIELD_NUMBER; + hash = (53 * hash) + getTextClassificationDatasetMetadata().hashCode(); + break; + case 26: + hash = (37 * hash) + IMAGE_OBJECT_DETECTION_DATASET_METADATA_FIELD_NUMBER; + hash = (53 * hash) + getImageObjectDetectionDatasetMetadata().hashCode(); + break; + case 31: + hash = (37 * hash) + VIDEO_CLASSIFICATION_DATASET_METADATA_FIELD_NUMBER; + hash = (53 * hash) + getVideoClassificationDatasetMetadata().hashCode(); + break; + case 29: + hash = (37 * hash) + VIDEO_OBJECT_TRACKING_DATASET_METADATA_FIELD_NUMBER; + hash = (53 * hash) + getVideoObjectTrackingDatasetMetadata().hashCode(); + break; + case 28: + hash = (37 * hash) + TEXT_EXTRACTION_DATASET_METADATA_FIELD_NUMBER; + hash = (53 * hash) + getTextExtractionDatasetMetadata().hashCode(); + break; + case 30: + hash = (37 * hash) + TEXT_SENTIMENT_DATASET_METADATA_FIELD_NUMBER; + hash = (53 * hash) + getTextSentimentDatasetMetadata().hashCode(); + break; + case 33: + hash = (37 * hash) + TABLES_DATASET_METADATA_FIELD_NUMBER; + hash = (53 * hash) + getTablesDatasetMetadata().hashCode(); + break; + case 0: + default: + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.Dataset parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.Dataset parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Dataset parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.Dataset parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Dataset parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.Dataset parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Dataset parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.Dataset parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Dataset parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.Dataset parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Dataset parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.Dataset parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.Dataset prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * A workspace for solving a single, particular machine learning (ML) problem.
+   * A workspace contains examples that may be annotated.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.Dataset} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.Dataset) + com.google.cloud.automl.v1beta1.DatasetOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DatasetOuterClass + .internal_static_google_cloud_automl_v1beta1_Dataset_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DatasetOuterClass + .internal_static_google_cloud_automl_v1beta1_Dataset_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.Dataset.class, + com.google.cloud.automl.v1beta1.Dataset.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.Dataset.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + name_ = ""; + + displayName_ = ""; + + description_ = ""; + + exampleCount_ = 0; + + if (createTimeBuilder_ == null) { + createTime_ = null; + } else { + createTime_ = null; + createTimeBuilder_ = null; + } + etag_ = ""; + + datasetMetadataCase_ = 0; + datasetMetadata_ = null; + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DatasetOuterClass + .internal_static_google_cloud_automl_v1beta1_Dataset_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Dataset getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.Dataset.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Dataset build() { + com.google.cloud.automl.v1beta1.Dataset result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Dataset buildPartial() { + com.google.cloud.automl.v1beta1.Dataset result = + new com.google.cloud.automl.v1beta1.Dataset(this); + if (datasetMetadataCase_ == 23) { + if (translationDatasetMetadataBuilder_ == null) { + result.datasetMetadata_ = datasetMetadata_; + } else { + result.datasetMetadata_ = translationDatasetMetadataBuilder_.build(); + } + } + if (datasetMetadataCase_ == 24) { + if (imageClassificationDatasetMetadataBuilder_ == null) { + result.datasetMetadata_ = datasetMetadata_; + } else { + result.datasetMetadata_ = imageClassificationDatasetMetadataBuilder_.build(); + } + } + if (datasetMetadataCase_ == 25) { + if (textClassificationDatasetMetadataBuilder_ == null) { + result.datasetMetadata_ = datasetMetadata_; + } else { + result.datasetMetadata_ = textClassificationDatasetMetadataBuilder_.build(); + } + } + if (datasetMetadataCase_ == 26) { + if (imageObjectDetectionDatasetMetadataBuilder_ == null) { + result.datasetMetadata_ = datasetMetadata_; + } else { + result.datasetMetadata_ = imageObjectDetectionDatasetMetadataBuilder_.build(); + } + } + if (datasetMetadataCase_ == 31) { + if (videoClassificationDatasetMetadataBuilder_ == null) { + result.datasetMetadata_ = datasetMetadata_; + } else { + result.datasetMetadata_ = videoClassificationDatasetMetadataBuilder_.build(); + } + } + if (datasetMetadataCase_ == 29) { + if (videoObjectTrackingDatasetMetadataBuilder_ == null) { + result.datasetMetadata_ = datasetMetadata_; + } else { + result.datasetMetadata_ = videoObjectTrackingDatasetMetadataBuilder_.build(); + } + } + if (datasetMetadataCase_ == 28) { + if (textExtractionDatasetMetadataBuilder_ == null) { + result.datasetMetadata_ = datasetMetadata_; + } else { + result.datasetMetadata_ = textExtractionDatasetMetadataBuilder_.build(); + } + } + if (datasetMetadataCase_ == 30) { + if (textSentimentDatasetMetadataBuilder_ == null) { + result.datasetMetadata_ = datasetMetadata_; + } else { + result.datasetMetadata_ = textSentimentDatasetMetadataBuilder_.build(); + } + } + if (datasetMetadataCase_ == 33) { + if (tablesDatasetMetadataBuilder_ == null) { + result.datasetMetadata_ = datasetMetadata_; + } else { + result.datasetMetadata_ = tablesDatasetMetadataBuilder_.build(); + } + } + result.name_ = name_; + result.displayName_ = displayName_; + result.description_ = description_; + result.exampleCount_ = exampleCount_; + if (createTimeBuilder_ == null) { + result.createTime_ = createTime_; + } else { + result.createTime_ = createTimeBuilder_.build(); + } + result.etag_ = etag_; + result.datasetMetadataCase_ = datasetMetadataCase_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.Dataset) { + return mergeFrom((com.google.cloud.automl.v1beta1.Dataset) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.Dataset other) { + if (other == com.google.cloud.automl.v1beta1.Dataset.getDefaultInstance()) return this; + if (!other.getName().isEmpty()) { + name_ = other.name_; + onChanged(); + } + if (!other.getDisplayName().isEmpty()) { + displayName_ = other.displayName_; + onChanged(); + } + if (!other.getDescription().isEmpty()) { + description_ = other.description_; + onChanged(); + } + if (other.getExampleCount() != 0) { + setExampleCount(other.getExampleCount()); + } + if (other.hasCreateTime()) { + mergeCreateTime(other.getCreateTime()); + } + if (!other.getEtag().isEmpty()) { + etag_ = other.etag_; + onChanged(); + } + switch (other.getDatasetMetadataCase()) { + case TRANSLATION_DATASET_METADATA: + { + mergeTranslationDatasetMetadata(other.getTranslationDatasetMetadata()); + break; + } + case IMAGE_CLASSIFICATION_DATASET_METADATA: + { + mergeImageClassificationDatasetMetadata(other.getImageClassificationDatasetMetadata()); + break; + } + case TEXT_CLASSIFICATION_DATASET_METADATA: + { + mergeTextClassificationDatasetMetadata(other.getTextClassificationDatasetMetadata()); + break; + } + case IMAGE_OBJECT_DETECTION_DATASET_METADATA: + { + mergeImageObjectDetectionDatasetMetadata( + other.getImageObjectDetectionDatasetMetadata()); + break; + } + case VIDEO_CLASSIFICATION_DATASET_METADATA: + { + mergeVideoClassificationDatasetMetadata(other.getVideoClassificationDatasetMetadata()); + break; + } + case VIDEO_OBJECT_TRACKING_DATASET_METADATA: + { + mergeVideoObjectTrackingDatasetMetadata(other.getVideoObjectTrackingDatasetMetadata()); + break; + } + case TEXT_EXTRACTION_DATASET_METADATA: + { + mergeTextExtractionDatasetMetadata(other.getTextExtractionDatasetMetadata()); + break; + } + case TEXT_SENTIMENT_DATASET_METADATA: + { + mergeTextSentimentDatasetMetadata(other.getTextSentimentDatasetMetadata()); + break; + } + case TABLES_DATASET_METADATA: + { + mergeTablesDatasetMetadata(other.getTablesDatasetMetadata()); + break; + } + case DATASETMETADATA_NOT_SET: + { + break; + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.Dataset parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.Dataset) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int datasetMetadataCase_ = 0; + private java.lang.Object datasetMetadata_; + + public DatasetMetadataCase getDatasetMetadataCase() { + return DatasetMetadataCase.forNumber(datasetMetadataCase_); + } + + public Builder clearDatasetMetadata() { + datasetMetadataCase_ = 0; + datasetMetadata_ = null; + onChanged(); + return this; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TranslationDatasetMetadata, + com.google.cloud.automl.v1beta1.TranslationDatasetMetadata.Builder, + com.google.cloud.automl.v1beta1.TranslationDatasetMetadataOrBuilder> + translationDatasetMetadataBuilder_; + /** + * + * + * 
+     * Metadata for a dataset used for translation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TranslationDatasetMetadata translation_dataset_metadata = 23; + * + * + * @return Whether the translationDatasetMetadata field is set. + */ + public boolean hasTranslationDatasetMetadata() { + return datasetMetadataCase_ == 23; + } + /** + * + * + * 
+     * Metadata for a dataset used for translation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TranslationDatasetMetadata translation_dataset_metadata = 23; + * + * + * @return The translationDatasetMetadata. + */ + public com.google.cloud.automl.v1beta1.TranslationDatasetMetadata + getTranslationDatasetMetadata() { + if (translationDatasetMetadataBuilder_ == null) { + if (datasetMetadataCase_ == 23) { + return (com.google.cloud.automl.v1beta1.TranslationDatasetMetadata) datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.TranslationDatasetMetadata.getDefaultInstance(); + } else { + if (datasetMetadataCase_ == 23) { + return translationDatasetMetadataBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.TranslationDatasetMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for a dataset used for translation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TranslationDatasetMetadata translation_dataset_metadata = 23; + * + */ + public Builder setTranslationDatasetMetadata( + com.google.cloud.automl.v1beta1.TranslationDatasetMetadata value) { + if (translationDatasetMetadataBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + datasetMetadata_ = value; + onChanged(); + } else { + translationDatasetMetadataBuilder_.setMessage(value); + } + datasetMetadataCase_ = 23; + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for translation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TranslationDatasetMetadata translation_dataset_metadata = 23; + * + */ + public Builder setTranslationDatasetMetadata( + com.google.cloud.automl.v1beta1.TranslationDatasetMetadata.Builder builderForValue) { + if (translationDatasetMetadataBuilder_ == null) { + datasetMetadata_ = builderForValue.build(); + onChanged(); + } else { + translationDatasetMetadataBuilder_.setMessage(builderForValue.build()); + } + datasetMetadataCase_ = 23; + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for translation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TranslationDatasetMetadata translation_dataset_metadata = 23; + * + */ + public Builder mergeTranslationDatasetMetadata( + com.google.cloud.automl.v1beta1.TranslationDatasetMetadata value) { + if (translationDatasetMetadataBuilder_ == null) { + if (datasetMetadataCase_ == 23 + && datasetMetadata_ + != com.google.cloud.automl.v1beta1.TranslationDatasetMetadata + .getDefaultInstance()) { + datasetMetadata_ = + com.google.cloud.automl.v1beta1.TranslationDatasetMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.TranslationDatasetMetadata) datasetMetadata_) + .mergeFrom(value) + .buildPartial(); + } else { + datasetMetadata_ = value; + } + onChanged(); + } else { + if (datasetMetadataCase_ == 23) { + translationDatasetMetadataBuilder_.mergeFrom(value); + } + translationDatasetMetadataBuilder_.setMessage(value); + } + datasetMetadataCase_ = 23; + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for translation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TranslationDatasetMetadata translation_dataset_metadata = 23; + * + */ + public Builder clearTranslationDatasetMetadata() { + if (translationDatasetMetadataBuilder_ == null) { + if (datasetMetadataCase_ == 23) { + datasetMetadataCase_ = 0; + datasetMetadata_ = null; + onChanged(); + } + } else { + if (datasetMetadataCase_ == 23) { + datasetMetadataCase_ = 0; + datasetMetadata_ = null; + } + translationDatasetMetadataBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for translation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TranslationDatasetMetadata translation_dataset_metadata = 23; + * + */ + public com.google.cloud.automl.v1beta1.TranslationDatasetMetadata.Builder + getTranslationDatasetMetadataBuilder() { + return getTranslationDatasetMetadataFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Metadata for a dataset used for translation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TranslationDatasetMetadata translation_dataset_metadata = 23; + * + */ + public com.google.cloud.automl.v1beta1.TranslationDatasetMetadataOrBuilder + getTranslationDatasetMetadataOrBuilder() { + if ((datasetMetadataCase_ == 23) && (translationDatasetMetadataBuilder_ != null)) { + return translationDatasetMetadataBuilder_.getMessageOrBuilder(); + } else { + if (datasetMetadataCase_ == 23) { + return (com.google.cloud.automl.v1beta1.TranslationDatasetMetadata) datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.TranslationDatasetMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for a dataset used for translation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TranslationDatasetMetadata translation_dataset_metadata = 23; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TranslationDatasetMetadata, + com.google.cloud.automl.v1beta1.TranslationDatasetMetadata.Builder, + com.google.cloud.automl.v1beta1.TranslationDatasetMetadataOrBuilder> + getTranslationDatasetMetadataFieldBuilder() { + if (translationDatasetMetadataBuilder_ == null) { + if (!(datasetMetadataCase_ == 23)) { + datasetMetadata_ = + com.google.cloud.automl.v1beta1.TranslationDatasetMetadata.getDefaultInstance(); + } + translationDatasetMetadataBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TranslationDatasetMetadata, + com.google.cloud.automl.v1beta1.TranslationDatasetMetadata.Builder, + com.google.cloud.automl.v1beta1.TranslationDatasetMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.TranslationDatasetMetadata) datasetMetadata_, + getParentForChildren(), + isClean()); + datasetMetadata_ = null; + } + datasetMetadataCase_ = 23; + onChanged(); + ; + return translationDatasetMetadataBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata, + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata.Builder, + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadataOrBuilder> + imageClassificationDatasetMetadataBuilder_; + /** + * + * + * 
+     * Metadata for a dataset used for image classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24; + * + * + * @return Whether the imageClassificationDatasetMetadata field is set. + */ + public boolean hasImageClassificationDatasetMetadata() { + return datasetMetadataCase_ == 24; + } + /** + * + * + * 
+     * Metadata for a dataset used for image classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24; + * + * + * @return The imageClassificationDatasetMetadata. + */ + public com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata + getImageClassificationDatasetMetadata() { + if (imageClassificationDatasetMetadataBuilder_ == null) { + if (datasetMetadataCase_ == 24) { + return (com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata) + datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata + .getDefaultInstance(); + } else { + if (datasetMetadataCase_ == 24) { + return imageClassificationDatasetMetadataBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for a dataset used for image classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24; + * + */ + public Builder setImageClassificationDatasetMetadata( + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata value) { + if (imageClassificationDatasetMetadataBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + datasetMetadata_ = value; + onChanged(); + } else { + imageClassificationDatasetMetadataBuilder_.setMessage(value); + } + datasetMetadataCase_ = 24; + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for image classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24; + * + */ + public Builder setImageClassificationDatasetMetadata( + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata.Builder + builderForValue) { + if (imageClassificationDatasetMetadataBuilder_ == null) { + datasetMetadata_ = builderForValue.build(); + onChanged(); + } else { + imageClassificationDatasetMetadataBuilder_.setMessage(builderForValue.build()); + } + datasetMetadataCase_ = 24; + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for image classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24; + * + */ + public Builder mergeImageClassificationDatasetMetadata( + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata value) { + if (imageClassificationDatasetMetadataBuilder_ == null) { + if (datasetMetadataCase_ == 24 + && datasetMetadata_ + != com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata + .getDefaultInstance()) { + datasetMetadata_ = + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata) + datasetMetadata_) + .mergeFrom(value) + .buildPartial(); + } else { + datasetMetadata_ = value; + } + onChanged(); + } else { + if (datasetMetadataCase_ == 24) { + imageClassificationDatasetMetadataBuilder_.mergeFrom(value); + } + imageClassificationDatasetMetadataBuilder_.setMessage(value); + } + datasetMetadataCase_ = 24; + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for image classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24; + * + */ + public Builder clearImageClassificationDatasetMetadata() { + if (imageClassificationDatasetMetadataBuilder_ == null) { + if (datasetMetadataCase_ == 24) { + datasetMetadataCase_ = 0; + datasetMetadata_ = null; + onChanged(); + } + } else { + if (datasetMetadataCase_ == 24) { + datasetMetadataCase_ = 0; + datasetMetadata_ = null; + } + imageClassificationDatasetMetadataBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for image classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24; + * + */ + public com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata.Builder + getImageClassificationDatasetMetadataBuilder() { + return getImageClassificationDatasetMetadataFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Metadata for a dataset used for image classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24; + * + */ + public com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadataOrBuilder + getImageClassificationDatasetMetadataOrBuilder() { + if ((datasetMetadataCase_ == 24) && (imageClassificationDatasetMetadataBuilder_ != null)) { + return imageClassificationDatasetMetadataBuilder_.getMessageOrBuilder(); + } else { + if (datasetMetadataCase_ == 24) { + return (com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata) + datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for a dataset used for image classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata, + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata.Builder, + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadataOrBuilder> + getImageClassificationDatasetMetadataFieldBuilder() { + if (imageClassificationDatasetMetadataBuilder_ == null) { + if (!(datasetMetadataCase_ == 24)) { + datasetMetadata_ = + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata + .getDefaultInstance(); + } + imageClassificationDatasetMetadataBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata, + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata.Builder, + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata) + datasetMetadata_, + getParentForChildren(), + isClean()); + datasetMetadata_ = null; + } + datasetMetadataCase_ = 24; + onChanged(); + ; + return imageClassificationDatasetMetadataBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata, + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.Builder, + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadataOrBuilder> + textClassificationDatasetMetadataBuilder_; + /** + * + * + * 
+     * Metadata for a dataset used for text classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25; + * + * + * @return Whether the textClassificationDatasetMetadata field is set. + */ + public boolean hasTextClassificationDatasetMetadata() { + return datasetMetadataCase_ == 25; + } + /** + * + * + * 
+     * Metadata for a dataset used for text classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25; + * + * + * @return The textClassificationDatasetMetadata. + */ + public com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata + getTextClassificationDatasetMetadata() { + if (textClassificationDatasetMetadataBuilder_ == null) { + if (datasetMetadataCase_ == 25) { + return (com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata) + datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata + .getDefaultInstance(); + } else { + if (datasetMetadataCase_ == 25) { + return textClassificationDatasetMetadataBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for a dataset used for text classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25; + * + */ + public Builder setTextClassificationDatasetMetadata( + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata value) { + if (textClassificationDatasetMetadataBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + datasetMetadata_ = value; + onChanged(); + } else { + textClassificationDatasetMetadataBuilder_.setMessage(value); + } + datasetMetadataCase_ = 25; + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for text classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25; + * + */ + public Builder setTextClassificationDatasetMetadata( + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.Builder builderForValue) { + if (textClassificationDatasetMetadataBuilder_ == null) { + datasetMetadata_ = builderForValue.build(); + onChanged(); + } else { + textClassificationDatasetMetadataBuilder_.setMessage(builderForValue.build()); + } + datasetMetadataCase_ = 25; + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for text classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25; + * + */ + public Builder mergeTextClassificationDatasetMetadata( + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata value) { + if (textClassificationDatasetMetadataBuilder_ == null) { + if (datasetMetadataCase_ == 25 + && datasetMetadata_ + != com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata + .getDefaultInstance()) { + datasetMetadata_ = + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata) + datasetMetadata_) + .mergeFrom(value) + .buildPartial(); + } else { + datasetMetadata_ = value; + } + onChanged(); + } else { + if (datasetMetadataCase_ == 25) { + textClassificationDatasetMetadataBuilder_.mergeFrom(value); + } + textClassificationDatasetMetadataBuilder_.setMessage(value); + } + datasetMetadataCase_ = 25; + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for text classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25; + * + */ + public Builder clearTextClassificationDatasetMetadata() { + if (textClassificationDatasetMetadataBuilder_ == null) { + if (datasetMetadataCase_ == 25) { + datasetMetadataCase_ = 0; + datasetMetadata_ = null; + onChanged(); + } + } else { + if (datasetMetadataCase_ == 25) { + datasetMetadataCase_ = 0; + datasetMetadata_ = null; + } + textClassificationDatasetMetadataBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for text classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25; + * + */ + public com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.Builder + getTextClassificationDatasetMetadataBuilder() { + return getTextClassificationDatasetMetadataFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Metadata for a dataset used for text classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25; + * + */ + public com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadataOrBuilder + getTextClassificationDatasetMetadataOrBuilder() { + if ((datasetMetadataCase_ == 25) && (textClassificationDatasetMetadataBuilder_ != null)) { + return textClassificationDatasetMetadataBuilder_.getMessageOrBuilder(); + } else { + if (datasetMetadataCase_ == 25) { + return (com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata) + datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for a dataset used for text classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata, + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.Builder, + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadataOrBuilder> + getTextClassificationDatasetMetadataFieldBuilder() { + if (textClassificationDatasetMetadataBuilder_ == null) { + if (!(datasetMetadataCase_ == 25)) { + datasetMetadata_ = + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata + .getDefaultInstance(); + } + textClassificationDatasetMetadataBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata, + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.Builder, + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata) + datasetMetadata_, + getParentForChildren(), + isClean()); + datasetMetadata_ = null; + } + datasetMetadataCase_ = 25; + onChanged(); + ; + return textClassificationDatasetMetadataBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata, + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.Builder, + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadataOrBuilder> + imageObjectDetectionDatasetMetadataBuilder_; + /** + * + * + * 
+     * Metadata for a dataset used for image object detection.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26; + * + * + * @return Whether the imageObjectDetectionDatasetMetadata field is set. + */ + public boolean hasImageObjectDetectionDatasetMetadata() { + return datasetMetadataCase_ == 26; + } + /** + * + * + * 
+     * Metadata for a dataset used for image object detection.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26; + * + * + * @return The imageObjectDetectionDatasetMetadata. + */ + public com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata + getImageObjectDetectionDatasetMetadata() { + if (imageObjectDetectionDatasetMetadataBuilder_ == null) { + if (datasetMetadataCase_ == 26) { + return (com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata) + datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata + .getDefaultInstance(); + } else { + if (datasetMetadataCase_ == 26) { + return imageObjectDetectionDatasetMetadataBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for a dataset used for image object detection.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26; + * + */ + public Builder setImageObjectDetectionDatasetMetadata( + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata value) { + if (imageObjectDetectionDatasetMetadataBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + datasetMetadata_ = value; + onChanged(); + } else { + imageObjectDetectionDatasetMetadataBuilder_.setMessage(value); + } + datasetMetadataCase_ = 26; + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for image object detection.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26; + * + */ + public Builder setImageObjectDetectionDatasetMetadata( + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.Builder + builderForValue) { + if (imageObjectDetectionDatasetMetadataBuilder_ == null) { + datasetMetadata_ = builderForValue.build(); + onChanged(); + } else { + imageObjectDetectionDatasetMetadataBuilder_.setMessage(builderForValue.build()); + } + datasetMetadataCase_ = 26; + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for image object detection.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26; + * + */ + public Builder mergeImageObjectDetectionDatasetMetadata( + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata value) { + if (imageObjectDetectionDatasetMetadataBuilder_ == null) { + if (datasetMetadataCase_ == 26 + && datasetMetadata_ + != com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata + .getDefaultInstance()) { + datasetMetadata_ = + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata) + datasetMetadata_) + .mergeFrom(value) + .buildPartial(); + } else { + datasetMetadata_ = value; + } + onChanged(); + } else { + if (datasetMetadataCase_ == 26) { + imageObjectDetectionDatasetMetadataBuilder_.mergeFrom(value); + } + imageObjectDetectionDatasetMetadataBuilder_.setMessage(value); + } + datasetMetadataCase_ = 26; + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for image object detection.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26; + * + */ + public Builder clearImageObjectDetectionDatasetMetadata() { + if (imageObjectDetectionDatasetMetadataBuilder_ == null) { + if (datasetMetadataCase_ == 26) { + datasetMetadataCase_ = 0; + datasetMetadata_ = null; + onChanged(); + } + } else { + if (datasetMetadataCase_ == 26) { + datasetMetadataCase_ = 0; + datasetMetadata_ = null; + } + imageObjectDetectionDatasetMetadataBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for image object detection.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26; + * + */ + public com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.Builder + getImageObjectDetectionDatasetMetadataBuilder() { + return getImageObjectDetectionDatasetMetadataFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Metadata for a dataset used for image object detection.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26; + * + */ + public com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadataOrBuilder + getImageObjectDetectionDatasetMetadataOrBuilder() { + if ((datasetMetadataCase_ == 26) && (imageObjectDetectionDatasetMetadataBuilder_ != null)) { + return imageObjectDetectionDatasetMetadataBuilder_.getMessageOrBuilder(); + } else { + if (datasetMetadataCase_ == 26) { + return (com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata) + datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for a dataset used for image object detection.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata, + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.Builder, + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadataOrBuilder> + getImageObjectDetectionDatasetMetadataFieldBuilder() { + if (imageObjectDetectionDatasetMetadataBuilder_ == null) { + if (!(datasetMetadataCase_ == 26)) { + datasetMetadata_ = + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata + .getDefaultInstance(); + } + imageObjectDetectionDatasetMetadataBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata, + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.Builder, + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata) + datasetMetadata_, + getParentForChildren(), + isClean()); + datasetMetadata_ = null; + } + datasetMetadataCase_ = 26; + onChanged(); + ; + return imageObjectDetectionDatasetMetadataBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata, + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.Builder, + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadataOrBuilder> + videoClassificationDatasetMetadataBuilder_; + /** + * + * + * 
+     * Metadata for a dataset used for video classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31; + * + * + * @return Whether the videoClassificationDatasetMetadata field is set. + */ + public boolean hasVideoClassificationDatasetMetadata() { + return datasetMetadataCase_ == 31; + } + /** + * + * + * 
+     * Metadata for a dataset used for video classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31; + * + * + * @return The videoClassificationDatasetMetadata. + */ + public com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata + getVideoClassificationDatasetMetadata() { + if (videoClassificationDatasetMetadataBuilder_ == null) { + if (datasetMetadataCase_ == 31) { + return (com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) + datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata + .getDefaultInstance(); + } else { + if (datasetMetadataCase_ == 31) { + return videoClassificationDatasetMetadataBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for a dataset used for video classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31; + * + */ + public Builder setVideoClassificationDatasetMetadata( + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata value) { + if (videoClassificationDatasetMetadataBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + datasetMetadata_ = value; + onChanged(); + } else { + videoClassificationDatasetMetadataBuilder_.setMessage(value); + } + datasetMetadataCase_ = 31; + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for video classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31; + * + */ + public Builder setVideoClassificationDatasetMetadata( + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.Builder + builderForValue) { + if (videoClassificationDatasetMetadataBuilder_ == null) { + datasetMetadata_ = builderForValue.build(); + onChanged(); + } else { + videoClassificationDatasetMetadataBuilder_.setMessage(builderForValue.build()); + } + datasetMetadataCase_ = 31; + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for video classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31; + * + */ + public Builder mergeVideoClassificationDatasetMetadata( + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata value) { + if (videoClassificationDatasetMetadataBuilder_ == null) { + if (datasetMetadataCase_ == 31 + && datasetMetadata_ + != com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata + .getDefaultInstance()) { + datasetMetadata_ = + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) + datasetMetadata_) + .mergeFrom(value) + .buildPartial(); + } else { + datasetMetadata_ = value; + } + onChanged(); + } else { + if (datasetMetadataCase_ == 31) { + videoClassificationDatasetMetadataBuilder_.mergeFrom(value); + } + videoClassificationDatasetMetadataBuilder_.setMessage(value); + } + datasetMetadataCase_ = 31; + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for video classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31; + * + */ + public Builder clearVideoClassificationDatasetMetadata() { + if (videoClassificationDatasetMetadataBuilder_ == null) { + if (datasetMetadataCase_ == 31) { + datasetMetadataCase_ = 0; + datasetMetadata_ = null; + onChanged(); + } + } else { + if (datasetMetadataCase_ == 31) { + datasetMetadataCase_ = 0; + datasetMetadata_ = null; + } + videoClassificationDatasetMetadataBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for video classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31; + * + */ + public com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.Builder + getVideoClassificationDatasetMetadataBuilder() { + return getVideoClassificationDatasetMetadataFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Metadata for a dataset used for video classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31; + * + */ + public com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadataOrBuilder + getVideoClassificationDatasetMetadataOrBuilder() { + if ((datasetMetadataCase_ == 31) && (videoClassificationDatasetMetadataBuilder_ != null)) { + return videoClassificationDatasetMetadataBuilder_.getMessageOrBuilder(); + } else { + if (datasetMetadataCase_ == 31) { + return (com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) + datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for a dataset used for video classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata, + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.Builder, + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadataOrBuilder> + getVideoClassificationDatasetMetadataFieldBuilder() { + if (videoClassificationDatasetMetadataBuilder_ == null) { + if (!(datasetMetadataCase_ == 31)) { + datasetMetadata_ = + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata + .getDefaultInstance(); + } + videoClassificationDatasetMetadataBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata, + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.Builder, + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) + datasetMetadata_, + getParentForChildren(), + isClean()); + datasetMetadata_ = null; + } + datasetMetadataCase_ = 31; + onChanged(); + ; + return videoClassificationDatasetMetadataBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata, + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata.Builder, + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadataOrBuilder> + videoObjectTrackingDatasetMetadataBuilder_; + /** + * + * + * 
+     * Metadata for a dataset used for video object tracking.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata video_object_tracking_dataset_metadata = 29; + * + * + * @return Whether the videoObjectTrackingDatasetMetadata field is set. + */ + public boolean hasVideoObjectTrackingDatasetMetadata() { + return datasetMetadataCase_ == 29; + } + /** + * + * + * 
+     * Metadata for a dataset used for video object tracking.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata video_object_tracking_dataset_metadata = 29; + * + * + * @return The videoObjectTrackingDatasetMetadata. + */ + public com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata + getVideoObjectTrackingDatasetMetadata() { + if (videoObjectTrackingDatasetMetadataBuilder_ == null) { + if (datasetMetadataCase_ == 29) { + return (com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata) + datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata + .getDefaultInstance(); + } else { + if (datasetMetadataCase_ == 29) { + return videoObjectTrackingDatasetMetadataBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for a dataset used for video object tracking.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata video_object_tracking_dataset_metadata = 29; + * + */ + public Builder setVideoObjectTrackingDatasetMetadata( + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata value) { + if (videoObjectTrackingDatasetMetadataBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + datasetMetadata_ = value; + onChanged(); + } else { + videoObjectTrackingDatasetMetadataBuilder_.setMessage(value); + } + datasetMetadataCase_ = 29; + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for video object tracking.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata video_object_tracking_dataset_metadata = 29; + * + */ + public Builder setVideoObjectTrackingDatasetMetadata( + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata.Builder + builderForValue) { + if (videoObjectTrackingDatasetMetadataBuilder_ == null) { + datasetMetadata_ = builderForValue.build(); + onChanged(); + } else { + videoObjectTrackingDatasetMetadataBuilder_.setMessage(builderForValue.build()); + } + datasetMetadataCase_ = 29; + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for video object tracking.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata video_object_tracking_dataset_metadata = 29; + * + */ + public Builder mergeVideoObjectTrackingDatasetMetadata( + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata value) { + if (videoObjectTrackingDatasetMetadataBuilder_ == null) { + if (datasetMetadataCase_ == 29 + && datasetMetadata_ + != com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata + .getDefaultInstance()) { + datasetMetadata_ = + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata) + datasetMetadata_) + .mergeFrom(value) + .buildPartial(); + } else { + datasetMetadata_ = value; + } + onChanged(); + } else { + if (datasetMetadataCase_ == 29) { + videoObjectTrackingDatasetMetadataBuilder_.mergeFrom(value); + } + videoObjectTrackingDatasetMetadataBuilder_.setMessage(value); + } + datasetMetadataCase_ = 29; + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for video object tracking.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata video_object_tracking_dataset_metadata = 29; + * + */ + public Builder clearVideoObjectTrackingDatasetMetadata() { + if (videoObjectTrackingDatasetMetadataBuilder_ == null) { + if (datasetMetadataCase_ == 29) { + datasetMetadataCase_ = 0; + datasetMetadata_ = null; + onChanged(); + } + } else { + if (datasetMetadataCase_ == 29) { + datasetMetadataCase_ = 0; + datasetMetadata_ = null; + } + videoObjectTrackingDatasetMetadataBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for video object tracking.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata video_object_tracking_dataset_metadata = 29; + * + */ + public com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata.Builder + getVideoObjectTrackingDatasetMetadataBuilder() { + return getVideoObjectTrackingDatasetMetadataFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Metadata for a dataset used for video object tracking.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata video_object_tracking_dataset_metadata = 29; + * + */ + public com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadataOrBuilder + getVideoObjectTrackingDatasetMetadataOrBuilder() { + if ((datasetMetadataCase_ == 29) && (videoObjectTrackingDatasetMetadataBuilder_ != null)) { + return videoObjectTrackingDatasetMetadataBuilder_.getMessageOrBuilder(); + } else { + if (datasetMetadataCase_ == 29) { + return (com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata) + datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for a dataset used for video object tracking.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata video_object_tracking_dataset_metadata = 29; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata, + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata.Builder, + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadataOrBuilder> + getVideoObjectTrackingDatasetMetadataFieldBuilder() { + if (videoObjectTrackingDatasetMetadataBuilder_ == null) { + if (!(datasetMetadataCase_ == 29)) { + datasetMetadata_ = + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata + .getDefaultInstance(); + } + videoObjectTrackingDatasetMetadataBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata, + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata.Builder, + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata) + datasetMetadata_, + getParentForChildren(), + isClean()); + datasetMetadata_ = null; + } + datasetMetadataCase_ = 29; + onChanged(); + ; + return videoObjectTrackingDatasetMetadataBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata, + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.Builder, + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadataOrBuilder> + textExtractionDatasetMetadataBuilder_; + /** + * + * + * 
+     * Metadata for a dataset used for text extraction.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28; + * + * + * @return Whether the textExtractionDatasetMetadata field is set. + */ + public boolean hasTextExtractionDatasetMetadata() { + return datasetMetadataCase_ == 28; + } + /** + * + * + * 
+     * Metadata for a dataset used for text extraction.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28; + * + * + * @return The textExtractionDatasetMetadata. + */ + public com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata + getTextExtractionDatasetMetadata() { + if (textExtractionDatasetMetadataBuilder_ == null) { + if (datasetMetadataCase_ == 28) { + return (com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.getDefaultInstance(); + } else { + if (datasetMetadataCase_ == 28) { + return textExtractionDatasetMetadataBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for a dataset used for text extraction.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28; + * + */ + public Builder setTextExtractionDatasetMetadata( + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata value) { + if (textExtractionDatasetMetadataBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + datasetMetadata_ = value; + onChanged(); + } else { + textExtractionDatasetMetadataBuilder_.setMessage(value); + } + datasetMetadataCase_ = 28; + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for text extraction.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28; + * + */ + public Builder setTextExtractionDatasetMetadata( + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.Builder builderForValue) { + if (textExtractionDatasetMetadataBuilder_ == null) { + datasetMetadata_ = builderForValue.build(); + onChanged(); + } else { + textExtractionDatasetMetadataBuilder_.setMessage(builderForValue.build()); + } + datasetMetadataCase_ = 28; + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for text extraction.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28; + * + */ + public Builder mergeTextExtractionDatasetMetadata( + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata value) { + if (textExtractionDatasetMetadataBuilder_ == null) { + if (datasetMetadataCase_ == 28 + && datasetMetadata_ + != com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata + .getDefaultInstance()) { + datasetMetadata_ = + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) + datasetMetadata_) + .mergeFrom(value) + .buildPartial(); + } else { + datasetMetadata_ = value; + } + onChanged(); + } else { + if (datasetMetadataCase_ == 28) { + textExtractionDatasetMetadataBuilder_.mergeFrom(value); + } + textExtractionDatasetMetadataBuilder_.setMessage(value); + } + datasetMetadataCase_ = 28; + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for text extraction.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28; + * + */ + public Builder clearTextExtractionDatasetMetadata() { + if (textExtractionDatasetMetadataBuilder_ == null) { + if (datasetMetadataCase_ == 28) { + datasetMetadataCase_ = 0; + datasetMetadata_ = null; + onChanged(); + } + } else { + if (datasetMetadataCase_ == 28) { + datasetMetadataCase_ = 0; + datasetMetadata_ = null; + } + textExtractionDatasetMetadataBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for text extraction.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28; + * + */ + public com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.Builder + getTextExtractionDatasetMetadataBuilder() { + return getTextExtractionDatasetMetadataFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Metadata for a dataset used for text extraction.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28; + * + */ + public com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadataOrBuilder + getTextExtractionDatasetMetadataOrBuilder() { + if ((datasetMetadataCase_ == 28) && (textExtractionDatasetMetadataBuilder_ != null)) { + return textExtractionDatasetMetadataBuilder_.getMessageOrBuilder(); + } else { + if (datasetMetadataCase_ == 28) { + return (com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for a dataset used for text extraction.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata, + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.Builder, + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadataOrBuilder> + getTextExtractionDatasetMetadataFieldBuilder() { + if (textExtractionDatasetMetadataBuilder_ == null) { + if (!(datasetMetadataCase_ == 28)) { + datasetMetadata_ = + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.getDefaultInstance(); + } + textExtractionDatasetMetadataBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata, + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.Builder, + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) datasetMetadata_, + getParentForChildren(), + isClean()); + datasetMetadata_ = null; + } + datasetMetadataCase_ = 28; + onChanged(); + ; + return textExtractionDatasetMetadataBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata, + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.Builder, + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadataOrBuilder> + textSentimentDatasetMetadataBuilder_; + /** + * + * + * 
+     * Metadata for a dataset used for text sentiment.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30; + * + * + * @return Whether the textSentimentDatasetMetadata field is set. + */ + public boolean hasTextSentimentDatasetMetadata() { + return datasetMetadataCase_ == 30; + } + /** + * + * + * 
+     * Metadata for a dataset used for text sentiment.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30; + * + * + * @return The textSentimentDatasetMetadata. + */ + public com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata + getTextSentimentDatasetMetadata() { + if (textSentimentDatasetMetadataBuilder_ == null) { + if (datasetMetadataCase_ == 30) { + return (com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.getDefaultInstance(); + } else { + if (datasetMetadataCase_ == 30) { + return textSentimentDatasetMetadataBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for a dataset used for text sentiment.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30; + * + */ + public Builder setTextSentimentDatasetMetadata( + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata value) { + if (textSentimentDatasetMetadataBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + datasetMetadata_ = value; + onChanged(); + } else { + textSentimentDatasetMetadataBuilder_.setMessage(value); + } + datasetMetadataCase_ = 30; + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for text sentiment.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30; + * + */ + public Builder setTextSentimentDatasetMetadata( + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.Builder builderForValue) { + if (textSentimentDatasetMetadataBuilder_ == null) { + datasetMetadata_ = builderForValue.build(); + onChanged(); + } else { + textSentimentDatasetMetadataBuilder_.setMessage(builderForValue.build()); + } + datasetMetadataCase_ = 30; + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for text sentiment.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30; + * + */ + public Builder mergeTextSentimentDatasetMetadata( + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata value) { + if (textSentimentDatasetMetadataBuilder_ == null) { + if (datasetMetadataCase_ == 30 + && datasetMetadata_ + != com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata + .getDefaultInstance()) { + datasetMetadata_ = + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) + datasetMetadata_) + .mergeFrom(value) + .buildPartial(); + } else { + datasetMetadata_ = value; + } + onChanged(); + } else { + if (datasetMetadataCase_ == 30) { + textSentimentDatasetMetadataBuilder_.mergeFrom(value); + } + textSentimentDatasetMetadataBuilder_.setMessage(value); + } + datasetMetadataCase_ = 30; + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for text sentiment.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30; + * + */ + public Builder clearTextSentimentDatasetMetadata() { + if (textSentimentDatasetMetadataBuilder_ == null) { + if (datasetMetadataCase_ == 30) { + datasetMetadataCase_ = 0; + datasetMetadata_ = null; + onChanged(); + } + } else { + if (datasetMetadataCase_ == 30) { + datasetMetadataCase_ = 0; + datasetMetadata_ = null; + } + textSentimentDatasetMetadataBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for text sentiment.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30; + * + */ + public com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.Builder + getTextSentimentDatasetMetadataBuilder() { + return getTextSentimentDatasetMetadataFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Metadata for a dataset used for text sentiment.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30; + * + */ + public com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadataOrBuilder + getTextSentimentDatasetMetadataOrBuilder() { + if ((datasetMetadataCase_ == 30) && (textSentimentDatasetMetadataBuilder_ != null)) { + return textSentimentDatasetMetadataBuilder_.getMessageOrBuilder(); + } else { + if (datasetMetadataCase_ == 30) { + return (com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for a dataset used for text sentiment.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata, + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.Builder, + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadataOrBuilder> + getTextSentimentDatasetMetadataFieldBuilder() { + if (textSentimentDatasetMetadataBuilder_ == null) { + if (!(datasetMetadataCase_ == 30)) { + datasetMetadata_ = + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.getDefaultInstance(); + } + textSentimentDatasetMetadataBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata, + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.Builder, + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) datasetMetadata_, + getParentForChildren(), + isClean()); + datasetMetadata_ = null; + } + datasetMetadataCase_ = 30; + onChanged(); + ; + return textSentimentDatasetMetadataBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TablesDatasetMetadata, + com.google.cloud.automl.v1beta1.TablesDatasetMetadata.Builder, + com.google.cloud.automl.v1beta1.TablesDatasetMetadataOrBuilder> + tablesDatasetMetadataBuilder_; + /** + * + * + * 
+     * Metadata for a dataset used for Tables.
+     *
+ * + * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33; + * + * @return Whether the tablesDatasetMetadata field is set. + */ + public boolean hasTablesDatasetMetadata() { + return datasetMetadataCase_ == 33; + } + /** + * + * + * 
+     * Metadata for a dataset used for Tables.
+     *
+ * + * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33; + * + * @return The tablesDatasetMetadata. + */ + public com.google.cloud.automl.v1beta1.TablesDatasetMetadata getTablesDatasetMetadata() { + if (tablesDatasetMetadataBuilder_ == null) { + if (datasetMetadataCase_ == 33) { + return (com.google.cloud.automl.v1beta1.TablesDatasetMetadata) datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.TablesDatasetMetadata.getDefaultInstance(); + } else { + if (datasetMetadataCase_ == 33) { + return tablesDatasetMetadataBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.TablesDatasetMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for a dataset used for Tables.
+     *
+ * + * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33; + */ + public Builder setTablesDatasetMetadata( + com.google.cloud.automl.v1beta1.TablesDatasetMetadata value) { + if (tablesDatasetMetadataBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + datasetMetadata_ = value; + onChanged(); + } else { + tablesDatasetMetadataBuilder_.setMessage(value); + } + datasetMetadataCase_ = 33; + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for Tables.
+     *
+ * + * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33; + */ + public Builder setTablesDatasetMetadata( + com.google.cloud.automl.v1beta1.TablesDatasetMetadata.Builder builderForValue) { + if (tablesDatasetMetadataBuilder_ == null) { + datasetMetadata_ = builderForValue.build(); + onChanged(); + } else { + tablesDatasetMetadataBuilder_.setMessage(builderForValue.build()); + } + datasetMetadataCase_ = 33; + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for Tables.
+     *
+ * + * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33; + */ + public Builder mergeTablesDatasetMetadata( + com.google.cloud.automl.v1beta1.TablesDatasetMetadata value) { + if (tablesDatasetMetadataBuilder_ == null) { + if (datasetMetadataCase_ == 33 + && datasetMetadata_ + != com.google.cloud.automl.v1beta1.TablesDatasetMetadata.getDefaultInstance()) { + datasetMetadata_ = + com.google.cloud.automl.v1beta1.TablesDatasetMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.TablesDatasetMetadata) datasetMetadata_) + .mergeFrom(value) + .buildPartial(); + } else { + datasetMetadata_ = value; + } + onChanged(); + } else { + if (datasetMetadataCase_ == 33) { + tablesDatasetMetadataBuilder_.mergeFrom(value); + } + tablesDatasetMetadataBuilder_.setMessage(value); + } + datasetMetadataCase_ = 33; + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for Tables.
+     *
+ * + * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33; + */ + public Builder clearTablesDatasetMetadata() { + if (tablesDatasetMetadataBuilder_ == null) { + if (datasetMetadataCase_ == 33) { + datasetMetadataCase_ = 0; + datasetMetadata_ = null; + onChanged(); + } + } else { + if (datasetMetadataCase_ == 33) { + datasetMetadataCase_ = 0; + datasetMetadata_ = null; + } + tablesDatasetMetadataBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Metadata for a dataset used for Tables.
+     *
+ * + * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33; + */ + public com.google.cloud.automl.v1beta1.TablesDatasetMetadata.Builder + getTablesDatasetMetadataBuilder() { + return getTablesDatasetMetadataFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Metadata for a dataset used for Tables.
+     *
+ * + * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33; + */ + public com.google.cloud.automl.v1beta1.TablesDatasetMetadataOrBuilder + getTablesDatasetMetadataOrBuilder() { + if ((datasetMetadataCase_ == 33) && (tablesDatasetMetadataBuilder_ != null)) { + return tablesDatasetMetadataBuilder_.getMessageOrBuilder(); + } else { + if (datasetMetadataCase_ == 33) { + return (com.google.cloud.automl.v1beta1.TablesDatasetMetadata) datasetMetadata_; + } + return com.google.cloud.automl.v1beta1.TablesDatasetMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for a dataset used for Tables.
+     *
+ * + * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TablesDatasetMetadata, + com.google.cloud.automl.v1beta1.TablesDatasetMetadata.Builder, + com.google.cloud.automl.v1beta1.TablesDatasetMetadataOrBuilder> + getTablesDatasetMetadataFieldBuilder() { + if (tablesDatasetMetadataBuilder_ == null) { + if (!(datasetMetadataCase_ == 33)) { + datasetMetadata_ = + com.google.cloud.automl.v1beta1.TablesDatasetMetadata.getDefaultInstance(); + } + tablesDatasetMetadataBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TablesDatasetMetadata, + com.google.cloud.automl.v1beta1.TablesDatasetMetadata.Builder, + com.google.cloud.automl.v1beta1.TablesDatasetMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.TablesDatasetMetadata) datasetMetadata_, + getParentForChildren(), + isClean()); + datasetMetadata_ = null; + } + datasetMetadataCase_ = 33; + onChanged(); + ; + return tablesDatasetMetadataBuilder_; + } + + private java.lang.Object name_ = ""; + /** + * + * + * 
+     * Output only. The resource name of the dataset.
+     * Form: `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`
+     *
+ * + * string name = 1; + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Output only. The resource name of the dataset.
+     * Form: `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`
+     *
+ * + * string name = 1; + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Output only. The resource name of the dataset.
+     * Form: `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`
+     *
+ * + * string name = 1; + * + * @param value The name to set. + * @return This builder for chaining. + */ + public Builder setName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + name_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The resource name of the dataset.
+     * Form: `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`
+     *
+ * + * string name = 1; + * + * @return This builder for chaining. + */ + public Builder clearName() { + + name_ = getDefaultInstance().getName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The resource name of the dataset.
+     * Form: `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`
+     *
+ * + * string name = 1; + * + * @param value The bytes for name to set. + * @return This builder for chaining. + */ + public Builder setNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + name_ = value; + onChanged(); + return this; + } + + private java.lang.Object displayName_ = ""; + /** + * + * + * 
+     * Required. The name of the dataset to show in the interface. The name can be
+     * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+     * and a-z, underscores
+     * (_), and ASCII digits 0-9.
+     *
+ * + * string display_name = 2; + * + * @return The displayName. + */ + public java.lang.String getDisplayName() { + java.lang.Object ref = displayName_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + displayName_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. The name of the dataset to show in the interface. The name can be
+     * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+     * and a-z, underscores
+     * (_), and ASCII digits 0-9.
+     *
+ * + * string display_name = 2; + * + * @return The bytes for displayName. + */ + public com.google.protobuf.ByteString getDisplayNameBytes() { + java.lang.Object ref = displayName_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + displayName_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. The name of the dataset to show in the interface. The name can be
+     * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+     * and a-z, underscores
+     * (_), and ASCII digits 0-9.
+     *
+ * + * string display_name = 2; + * + * @param value The displayName to set. + * @return This builder for chaining. + */ + public Builder setDisplayName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + displayName_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The name of the dataset to show in the interface. The name can be
+     * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+     * and a-z, underscores
+     * (_), and ASCII digits 0-9.
+     *
+ * + * string display_name = 2; + * + * @return This builder for chaining. + */ + public Builder clearDisplayName() { + + displayName_ = getDefaultInstance().getDisplayName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The name of the dataset to show in the interface. The name can be
+     * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+     * and a-z, underscores
+     * (_), and ASCII digits 0-9.
+     *
+ * + * string display_name = 2; + * + * @param value The bytes for displayName to set. + * @return This builder for chaining. + */ + public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + displayName_ = value; + onChanged(); + return this; + } + + private java.lang.Object description_ = ""; + /** + * + * + * 
+     * User-provided description of the dataset. The description can be up to
+     * 25000 characters long.
+     *
+ * + * string description = 3; + * + * @return The description. + */ + public java.lang.String getDescription() { + java.lang.Object ref = description_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + description_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * User-provided description of the dataset. The description can be up to
+     * 25000 characters long.
+     *
+ * + * string description = 3; + * + * @return The bytes for description. + */ + public com.google.protobuf.ByteString getDescriptionBytes() { + java.lang.Object ref = description_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + description_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * User-provided description of the dataset. The description can be up to
+     * 25000 characters long.
+     *
+ * + * string description = 3; + * + * @param value The description to set. + * @return This builder for chaining. + */ + public Builder setDescription(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + description_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * User-provided description of the dataset. The description can be up to
+     * 25000 characters long.
+     *
+ * + * string description = 3; + * + * @return This builder for chaining. + */ + public Builder clearDescription() { + + description_ = getDefaultInstance().getDescription(); + onChanged(); + return this; + } + /** + * + * + * 
+     * User-provided description of the dataset. The description can be up to
+     * 25000 characters long.
+     *
+ * + * string description = 3; + * + * @param value The bytes for description to set. + * @return This builder for chaining. + */ + public Builder setDescriptionBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + description_ = value; + onChanged(); + return this; + } + + private int exampleCount_; + /** + * + * + * 
+     * Output only. The number of examples in the dataset.
+     *
+ * + * int32 example_count = 21; + * + * @return The exampleCount. + */ + public int getExampleCount() { + return exampleCount_; + } + /** + * + * + * 
+     * Output only. The number of examples in the dataset.
+     *
+ * + * int32 example_count = 21; + * + * @param value The exampleCount to set. + * @return This builder for chaining. + */ + public Builder setExampleCount(int value) { + + exampleCount_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The number of examples in the dataset.
+     *
+ * + * int32 example_count = 21; + * + * @return This builder for chaining. + */ + public Builder clearExampleCount() { + + exampleCount_ = 0; + onChanged(); + return this; + } + + private com.google.protobuf.Timestamp createTime_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Timestamp, + com.google.protobuf.Timestamp.Builder, + com.google.protobuf.TimestampOrBuilder> + createTimeBuilder_; + /** + * + * + * 
+     * Output only. Timestamp when this dataset was created.
+     *
+ * + * .google.protobuf.Timestamp create_time = 14; + * + * @return Whether the createTime field is set. + */ + public boolean hasCreateTime() { + return createTimeBuilder_ != null || createTime_ != null; + } + /** + * + * + * 
+     * Output only. Timestamp when this dataset was created.
+     *
+ * + * .google.protobuf.Timestamp create_time = 14; + * + * @return The createTime. + */ + public com.google.protobuf.Timestamp getCreateTime() { + if (createTimeBuilder_ == null) { + return createTime_ == null + ? com.google.protobuf.Timestamp.getDefaultInstance() + : createTime_; + } else { + return createTimeBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Output only. Timestamp when this dataset was created.
+     *
+ * + * .google.protobuf.Timestamp create_time = 14; + */ + public Builder setCreateTime(com.google.protobuf.Timestamp value) { + if (createTimeBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + createTime_ = value; + onChanged(); + } else { + createTimeBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. Timestamp when this dataset was created.
+     *
+ * + * .google.protobuf.Timestamp create_time = 14; + */ + public Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) { + if (createTimeBuilder_ == null) { + createTime_ = builderForValue.build(); + onChanged(); + } else { + createTimeBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Output only. Timestamp when this dataset was created.
+     *
+ * + * .google.protobuf.Timestamp create_time = 14; + */ + public Builder mergeCreateTime(com.google.protobuf.Timestamp value) { + if (createTimeBuilder_ == null) { + if (createTime_ != null) { + createTime_ = + com.google.protobuf.Timestamp.newBuilder(createTime_).mergeFrom(value).buildPartial(); + } else { + createTime_ = value; + } + onChanged(); + } else { + createTimeBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. Timestamp when this dataset was created.
+     *
+ * + * .google.protobuf.Timestamp create_time = 14; + */ + public Builder clearCreateTime() { + if (createTimeBuilder_ == null) { + createTime_ = null; + onChanged(); + } else { + createTime_ = null; + createTimeBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Output only. Timestamp when this dataset was created.
+     *
+ * + * .google.protobuf.Timestamp create_time = 14; + */ + public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder() { + + onChanged(); + return getCreateTimeFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Output only. Timestamp when this dataset was created.
+     *
+ * + * .google.protobuf.Timestamp create_time = 14; + */ + public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() { + if (createTimeBuilder_ != null) { + return createTimeBuilder_.getMessageOrBuilder(); + } else { + return createTime_ == null + ? com.google.protobuf.Timestamp.getDefaultInstance() + : createTime_; + } + } + /** + * + * + * 
+     * Output only. Timestamp when this dataset was created.
+     *
+ * + * .google.protobuf.Timestamp create_time = 14; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Timestamp, + com.google.protobuf.Timestamp.Builder, + com.google.protobuf.TimestampOrBuilder> + getCreateTimeFieldBuilder() { + if (createTimeBuilder_ == null) { + createTimeBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Timestamp, + com.google.protobuf.Timestamp.Builder, + com.google.protobuf.TimestampOrBuilder>( + getCreateTime(), getParentForChildren(), isClean()); + createTime_ = null; + } + return createTimeBuilder_; + } + + private java.lang.Object etag_ = ""; + /** + * + * + * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     *
+ * + * string etag = 17; + * + * @return The etag. + */ + public java.lang.String getEtag() { + java.lang.Object ref = etag_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + etag_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     *
+ * + * string etag = 17; + * + * @return The bytes for etag. + */ + public com.google.protobuf.ByteString getEtagBytes() { + java.lang.Object ref = etag_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + etag_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     *
+ * + * string etag = 17; + * + * @param value The etag to set. + * @return This builder for chaining. + */ + public Builder setEtag(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + etag_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     *
+ * + * string etag = 17; + * + * @return This builder for chaining. + */ + public Builder clearEtag() { + + etag_ = getDefaultInstance().getEtag(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     *
+ * + * string etag = 17; + * + * @param value The bytes for etag to set. + * @return This builder for chaining. + */ + public Builder setEtagBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + etag_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.Dataset) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.Dataset) + private static final com.google.cloud.automl.v1beta1.Dataset DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.Dataset(); + } + + public static com.google.cloud.automl.v1beta1.Dataset getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public Dataset parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new Dataset(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Dataset getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DatasetName.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DatasetName.java new file mode 100644 index 000000000..69c9ef9b6 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DatasetName.java @@ -0,0 +1,210 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package com.google.cloud.automl.v1beta1; + +import com.google.api.pathtemplate.PathTemplate; +import com.google.api.resourcenames.ResourceName; +import com.google.common.base.Preconditions; +import com.google.common.collect.ImmutableMap; +import java.util.ArrayList; +import java.util.List; +import java.util.Map; + +/** AUTO-GENERATED DOCUMENTATION AND CLASS */ +@javax.annotation.Generated("by GAPIC protoc plugin") +public class DatasetName implements ResourceName { + + private static final PathTemplate PATH_TEMPLATE = + PathTemplate.createWithoutUrlEncoding( + "projects/{project}/locations/{location}/datasets/{dataset}"); + + private volatile Map fieldValuesMap; + + private final String project; + private final String location; + private final String dataset; + + public String getProject() { + return project; + } + + public String getLocation() { + return location; + } + + public String getDataset() { + return dataset; + } + + public static Builder newBuilder() { + return new Builder(); + } + + public Builder toBuilder() { + return new Builder(this); + } + + private DatasetName(Builder builder) { + project = Preconditions.checkNotNull(builder.getProject()); + location = Preconditions.checkNotNull(builder.getLocation()); + dataset = Preconditions.checkNotNull(builder.getDataset()); + } + + public static DatasetName of(String project, String location, String dataset) { + return newBuilder().setProject(project).setLocation(location).setDataset(dataset).build(); + } + + public static String format(String project, String location, String dataset) { + return newBuilder() + .setProject(project) + .setLocation(location) + .setDataset(dataset) + .build() + .toString(); + } + + public static DatasetName parse(String formattedString) { + if (formattedString.isEmpty()) { + return null; + } + Map matchMap = + PATH_TEMPLATE.validatedMatch( + formattedString, "DatasetName.parse: formattedString not in valid format"); + return of(matchMap.get("project"), matchMap.get("location"), matchMap.get("dataset")); + } + + public static List parseList(List formattedStrings) { + List list = new ArrayList<>(formattedStrings.size()); + for (String formattedString : formattedStrings) { + list.add(parse(formattedString)); + } + return list; + } + + public static List toStringList(List values) { + List list = new ArrayList(values.size()); + for (DatasetName value : values) { + if (value == null) { + list.add(""); + } else { + list.add(value.toString()); + } + } + return list; + } + + public static boolean isParsableFrom(String formattedString) { + return PATH_TEMPLATE.matches(formattedString); + } + + public Map getFieldValuesMap() { + if (fieldValuesMap == null) { + synchronized (this) { + if (fieldValuesMap == null) { + ImmutableMap.Builder fieldMapBuilder = ImmutableMap.builder(); + fieldMapBuilder.put("project", project); + fieldMapBuilder.put("location", location); + fieldMapBuilder.put("dataset", dataset); + fieldValuesMap = fieldMapBuilder.build(); + } + } + } + return fieldValuesMap; + } + + public String getFieldValue(String fieldName) { + return getFieldValuesMap().get(fieldName); + } + + @Override + public String toString() { + return PATH_TEMPLATE.instantiate("project", project, "location", location, "dataset", dataset); + } + + /** Builder for DatasetName. */ + public static class Builder { + + private String project; + private String location; + private String dataset; + + public String getProject() { + return project; + } + + public String getLocation() { + return location; + } + + public String getDataset() { + return dataset; + } + + public Builder setProject(String project) { + this.project = project; + return this; + } + + public Builder setLocation(String location) { + this.location = location; + return this; + } + + public Builder setDataset(String dataset) { + this.dataset = dataset; + return this; + } + + private Builder() {} + + private Builder(DatasetName datasetName) { + project = datasetName.project; + location = datasetName.location; + dataset = datasetName.dataset; + } + + public DatasetName build() { + return new DatasetName(this); + } + } + + @Override + public boolean equals(Object o) { + if (o == this) { + return true; + } + if (o instanceof DatasetName) { + DatasetName that = (DatasetName) o; + return (this.project.equals(that.project)) + && (this.location.equals(that.location)) + && (this.dataset.equals(that.dataset)); + } + return false; + } + + @Override + public int hashCode() { + int h = 1; + h *= 1000003; + h ^= project.hashCode(); + h *= 1000003; + h ^= location.hashCode(); + h *= 1000003; + h ^= dataset.hashCode(); + return h; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DatasetOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DatasetOrBuilder.java new file mode 100644 index 000000000..ef0558043 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DatasetOrBuilder.java @@ -0,0 +1,564 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/dataset.proto + +package com.google.cloud.automl.v1beta1; + +public interface DatasetOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.Dataset) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Metadata for a dataset used for translation.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TranslationDatasetMetadata translation_dataset_metadata = 23; + * + * + * @return Whether the translationDatasetMetadata field is set. + */ + boolean hasTranslationDatasetMetadata(); + /** + * + * + * 
+   * Metadata for a dataset used for translation.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TranslationDatasetMetadata translation_dataset_metadata = 23; + * + * + * @return The translationDatasetMetadata. + */ + com.google.cloud.automl.v1beta1.TranslationDatasetMetadata getTranslationDatasetMetadata(); + /** + * + * + * 
+   * Metadata for a dataset used for translation.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TranslationDatasetMetadata translation_dataset_metadata = 23; + * + */ + com.google.cloud.automl.v1beta1.TranslationDatasetMetadataOrBuilder + getTranslationDatasetMetadataOrBuilder(); + + /** + * + * + * 
+   * Metadata for a dataset used for image classification.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24; + * + * + * @return Whether the imageClassificationDatasetMetadata field is set. + */ + boolean hasImageClassificationDatasetMetadata(); + /** + * + * + * 
+   * Metadata for a dataset used for image classification.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24; + * + * + * @return The imageClassificationDatasetMetadata. + */ + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata + getImageClassificationDatasetMetadata(); + /** + * + * + * 
+   * Metadata for a dataset used for image classification.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24; + * + */ + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadataOrBuilder + getImageClassificationDatasetMetadataOrBuilder(); + + /** + * + * + * 
+   * Metadata for a dataset used for text classification.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25; + * + * + * @return Whether the textClassificationDatasetMetadata field is set. + */ + boolean hasTextClassificationDatasetMetadata(); + /** + * + * + * 
+   * Metadata for a dataset used for text classification.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25; + * + * + * @return The textClassificationDatasetMetadata. + */ + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata + getTextClassificationDatasetMetadata(); + /** + * + * + * 
+   * Metadata for a dataset used for text classification.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25; + * + */ + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadataOrBuilder + getTextClassificationDatasetMetadataOrBuilder(); + + /** + * + * + * 
+   * Metadata for a dataset used for image object detection.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26; + * + * + * @return Whether the imageObjectDetectionDatasetMetadata field is set. + */ + boolean hasImageObjectDetectionDatasetMetadata(); + /** + * + * + * 
+   * Metadata for a dataset used for image object detection.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26; + * + * + * @return The imageObjectDetectionDatasetMetadata. + */ + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata + getImageObjectDetectionDatasetMetadata(); + /** + * + * + * 
+   * Metadata for a dataset used for image object detection.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26; + * + */ + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadataOrBuilder + getImageObjectDetectionDatasetMetadataOrBuilder(); + + /** + * + * + * 
+   * Metadata for a dataset used for video classification.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31; + * + * + * @return Whether the videoClassificationDatasetMetadata field is set. + */ + boolean hasVideoClassificationDatasetMetadata(); + /** + * + * + * 
+   * Metadata for a dataset used for video classification.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31; + * + * + * @return The videoClassificationDatasetMetadata. + */ + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata + getVideoClassificationDatasetMetadata(); + /** + * + * + * 
+   * Metadata for a dataset used for video classification.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31; + * + */ + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadataOrBuilder + getVideoClassificationDatasetMetadataOrBuilder(); + + /** + * + * + * 
+   * Metadata for a dataset used for video object tracking.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata video_object_tracking_dataset_metadata = 29; + * + * + * @return Whether the videoObjectTrackingDatasetMetadata field is set. + */ + boolean hasVideoObjectTrackingDatasetMetadata(); + /** + * + * + * 
+   * Metadata for a dataset used for video object tracking.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata video_object_tracking_dataset_metadata = 29; + * + * + * @return The videoObjectTrackingDatasetMetadata. + */ + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata + getVideoObjectTrackingDatasetMetadata(); + /** + * + * + * 
+   * Metadata for a dataset used for video object tracking.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata video_object_tracking_dataset_metadata = 29; + * + */ + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadataOrBuilder + getVideoObjectTrackingDatasetMetadataOrBuilder(); + + /** + * + * + * 
+   * Metadata for a dataset used for text extraction.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28; + * + * + * @return Whether the textExtractionDatasetMetadata field is set. + */ + boolean hasTextExtractionDatasetMetadata(); + /** + * + * + * 
+   * Metadata for a dataset used for text extraction.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28; + * + * + * @return The textExtractionDatasetMetadata. + */ + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata getTextExtractionDatasetMetadata(); + /** + * + * + * 
+   * Metadata for a dataset used for text extraction.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28; + * + */ + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadataOrBuilder + getTextExtractionDatasetMetadataOrBuilder(); + + /** + * + * + * 
+   * Metadata for a dataset used for text sentiment.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30; + * + * + * @return Whether the textSentimentDatasetMetadata field is set. + */ + boolean hasTextSentimentDatasetMetadata(); + /** + * + * + * 
+   * Metadata for a dataset used for text sentiment.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30; + * + * + * @return The textSentimentDatasetMetadata. + */ + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata getTextSentimentDatasetMetadata(); + /** + * + * + * 
+   * Metadata for a dataset used for text sentiment.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30; + * + */ + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadataOrBuilder + getTextSentimentDatasetMetadataOrBuilder(); + + /** + * + * + * 
+   * Metadata for a dataset used for Tables.
+   *
+ * + * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33; + * + * @return Whether the tablesDatasetMetadata field is set. + */ + boolean hasTablesDatasetMetadata(); + /** + * + * + * 
+   * Metadata for a dataset used for Tables.
+   *
+ * + * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33; + * + * @return The tablesDatasetMetadata. + */ + com.google.cloud.automl.v1beta1.TablesDatasetMetadata getTablesDatasetMetadata(); + /** + * + * + * 
+   * Metadata for a dataset used for Tables.
+   *
+ * + * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33; + */ + com.google.cloud.automl.v1beta1.TablesDatasetMetadataOrBuilder + getTablesDatasetMetadataOrBuilder(); + + /** + * + * + * 
+   * Output only. The resource name of the dataset.
+   * Form: `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`
+   *
+ * + * string name = 1; + * + * @return The name. + */ + java.lang.String getName(); + /** + * + * + * 
+   * Output only. The resource name of the dataset.
+   * Form: `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`
+   *
+ * + * string name = 1; + * + * @return The bytes for name. + */ + com.google.protobuf.ByteString getNameBytes(); + + /** + * + * + * 
+   * Required. The name of the dataset to show in the interface. The name can be
+   * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+   * and a-z, underscores
+   * (_), and ASCII digits 0-9.
+   *
+ * + * string display_name = 2; + * + * @return The displayName. + */ + java.lang.String getDisplayName(); + /** + * + * + * 
+   * Required. The name of the dataset to show in the interface. The name can be
+   * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+   * and a-z, underscores
+   * (_), and ASCII digits 0-9.
+   *
+ * + * string display_name = 2; + * + * @return The bytes for displayName. + */ + com.google.protobuf.ByteString getDisplayNameBytes(); + + /** + * + * + * 
+   * User-provided description of the dataset. The description can be up to
+   * 25000 characters long.
+   *
+ * + * string description = 3; + * + * @return The description. + */ + java.lang.String getDescription(); + /** + * + * + * 
+   * User-provided description of the dataset. The description can be up to
+   * 25000 characters long.
+   *
+ * + * string description = 3; + * + * @return The bytes for description. + */ + com.google.protobuf.ByteString getDescriptionBytes(); + + /** + * + * + * 
+   * Output only. The number of examples in the dataset.
+   *
+ * + * int32 example_count = 21; + * + * @return The exampleCount. + */ + int getExampleCount(); + + /** + * + * + * 
+   * Output only. Timestamp when this dataset was created.
+   *
+ * + * .google.protobuf.Timestamp create_time = 14; + * + * @return Whether the createTime field is set. + */ + boolean hasCreateTime(); + /** + * + * + * 
+   * Output only. Timestamp when this dataset was created.
+   *
+ * + * .google.protobuf.Timestamp create_time = 14; + * + * @return The createTime. + */ + com.google.protobuf.Timestamp getCreateTime(); + /** + * + * + * 
+   * Output only. Timestamp when this dataset was created.
+   *
+ * + * .google.protobuf.Timestamp create_time = 14; + */ + com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder(); + + /** + * + * + * 
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   *
+ * + * string etag = 17; + * + * @return The etag. + */ + java.lang.String getEtag(); + /** + * + * + * 
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   *
+ * + * string etag = 17; + * + * @return The bytes for etag. + */ + com.google.protobuf.ByteString getEtagBytes(); + + public com.google.cloud.automl.v1beta1.Dataset.DatasetMetadataCase getDatasetMetadataCase(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DatasetOuterClass.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DatasetOuterClass.java new file mode 100644 index 000000000..fa5f11186 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DatasetOuterClass.java @@ -0,0 +1,141 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/dataset.proto + +package com.google.cloud.automl.v1beta1; + +public final class DatasetOuterClass { + private DatasetOuterClass() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_Dataset_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_Dataset_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n)google/cloud/automl/v1beta1/dataset.pr" + + "oto\022\033google.cloud.automl.v1beta1\032\031google" + + "/api/resource.proto\032\'google/cloud/automl" + + "/v1beta1/image.proto\032(google/cloud/autom" + + "l/v1beta1/tables.proto\032&google/cloud/aut" + + "oml/v1beta1/text.proto\032-google/cloud/aut" + + "oml/v1beta1/translation.proto\032\'google/cl" + + "oud/automl/v1beta1/video.proto\032\037google/p" + + "rotobuf/timestamp.proto\032\034google/api/anno" + + "tations.proto\"\316\t\n\007Dataset\022_\n\034translation" + + "_dataset_metadata\030\027 \001(\01327.google.cloud.a" + + "utoml.v1beta1.TranslationDatasetMetadata" + + "H\000\022p\n%image_classification_dataset_metad" + + "ata\030\030 \001(\0132?.google.cloud.automl.v1beta1." + + "ImageClassificationDatasetMetadataH\000\022n\n$" + + "text_classification_dataset_metadata\030\031 \001" + + "(\0132>.google.cloud.automl.v1beta1.TextCla" + + "ssificationDatasetMetadataH\000\022s\n\'image_ob" + + "ject_detection_dataset_metadata\030\032 \001(\0132@." + + "google.cloud.automl.v1beta1.ImageObjectD" + + "etectionDatasetMetadataH\000\022p\n%video_class" + + "ification_dataset_metadata\030\037 \001(\0132?.googl" + + "e.cloud.automl.v1beta1.VideoClassificati" + + "onDatasetMetadataH\000\022q\n&video_object_trac" + + "king_dataset_metadata\030\035 \001(\0132?.google.clo" + + "ud.automl.v1beta1.VideoObjectTrackingDat" + + "asetMetadataH\000\022f\n text_extraction_datase" + + "t_metadata\030\034 \001(\0132:.google.cloud.automl.v" + + "1beta1.TextExtractionDatasetMetadataH\000\022d" + + "\n\037text_sentiment_dataset_metadata\030\036 \001(\0132" + + "9.google.cloud.automl.v1beta1.TextSentim" + + "entDatasetMetadataH\000\022U\n\027tables_dataset_m" + + "etadata\030! \001(\01322.google.cloud.automl.v1be" + + "ta1.TablesDatasetMetadataH\000\022\014\n\004name\030\001 \001(" + + "\t\022\024\n\014display_name\030\002 \001(\t\022\023\n\013description\030\003" + + " \001(\t\022\025\n\rexample_count\030\025 \001(\005\022/\n\013create_ti" + + "me\030\016 \001(\0132\032.google.protobuf.Timestamp\022\014\n\004" + + "etag\030\021 \001(\t:^\352A[\n\035automl.googleapis.com/D" + + "ataset\022:projects/{project}/locations/{lo" + + "cation}/datasets/{dataset}B\022\n\020dataset_me" + + "tadataB\245\001\n\037com.google.cloud.automl.v1bet" + + "a1P\001ZAgoogle.golang.org/genproto/googlea" + + "pis/cloud/automl/v1beta1;automl\312\002\033Google" + + "\\Cloud\\AutoMl\\V1beta1\352\002\036Google::Cloud::A" + + "utoML::V1beta1b\006proto3" + }; + descriptor = + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.api.ResourceProto.getDescriptor(), + com.google.cloud.automl.v1beta1.ImageProto.getDescriptor(), + com.google.cloud.automl.v1beta1.Tables.getDescriptor(), + com.google.cloud.automl.v1beta1.TextProto.getDescriptor(), + com.google.cloud.automl.v1beta1.TranslationProto.getDescriptor(), + com.google.cloud.automl.v1beta1.VideoProto.getDescriptor(), + com.google.protobuf.TimestampProto.getDescriptor(), + com.google.api.AnnotationsProto.getDescriptor(), + }); + internal_static_google_cloud_automl_v1beta1_Dataset_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_Dataset_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_Dataset_descriptor, + new java.lang.String[] { + "TranslationDatasetMetadata", + "ImageClassificationDatasetMetadata", + "TextClassificationDatasetMetadata", + "ImageObjectDetectionDatasetMetadata", + "VideoClassificationDatasetMetadata", + "VideoObjectTrackingDatasetMetadata", + "TextExtractionDatasetMetadata", + "TextSentimentDatasetMetadata", + "TablesDatasetMetadata", + "Name", + "DisplayName", + "Description", + "ExampleCount", + "CreateTime", + "Etag", + "DatasetMetadata", + }); + com.google.protobuf.ExtensionRegistry registry = + com.google.protobuf.ExtensionRegistry.newInstance(); + registry.add(com.google.api.ResourceProto.resource); + com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor( + descriptor, registry); + com.google.api.ResourceProto.getDescriptor(); + com.google.cloud.automl.v1beta1.ImageProto.getDescriptor(); + com.google.cloud.automl.v1beta1.Tables.getDescriptor(); + com.google.cloud.automl.v1beta1.TextProto.getDescriptor(); + com.google.cloud.automl.v1beta1.TranslationProto.getDescriptor(); + com.google.cloud.automl.v1beta1.VideoProto.getDescriptor(); + com.google.protobuf.TimestampProto.getDescriptor(); + com.google.api.AnnotationsProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteDatasetRequest.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteDatasetRequest.java new file mode 100644 index 000000000..67790dbae --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteDatasetRequest.java @@ -0,0 +1,648 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [AutoMl.DeleteDataset][google.cloud.automl.v1beta1.AutoMl.DeleteDataset].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.DeleteDatasetRequest} + */ +public final class DeleteDatasetRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.DeleteDatasetRequest) + DeleteDatasetRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use DeleteDatasetRequest.newBuilder() to construct. + private DeleteDatasetRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private DeleteDatasetRequest() { + name_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new DeleteDatasetRequest(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private DeleteDatasetRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + name_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_DeleteDatasetRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_DeleteDatasetRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.DeleteDatasetRequest.class, + com.google.cloud.automl.v1beta1.DeleteDatasetRequest.Builder.class); + } + + public static final int NAME_FIELD_NUMBER = 1; + private volatile java.lang.Object name_; + /** + * + * + * 
+   * Required. The resource name of the dataset to delete.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. The resource name of the dataset to delete.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.DeleteDatasetRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.DeleteDatasetRequest other = + (com.google.cloud.automl.v1beta1.DeleteDatasetRequest) obj; + + if (!getName().equals(other.getName())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + NAME_FIELD_NUMBER; + hash = (53 * hash) + getName().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.DeleteDatasetRequest parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DeleteDatasetRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DeleteDatasetRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DeleteDatasetRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DeleteDatasetRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DeleteDatasetRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DeleteDatasetRequest parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DeleteDatasetRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DeleteDatasetRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DeleteDatasetRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DeleteDatasetRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DeleteDatasetRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.DeleteDatasetRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [AutoMl.DeleteDataset][google.cloud.automl.v1beta1.AutoMl.DeleteDataset].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.DeleteDatasetRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.DeleteDatasetRequest) + com.google.cloud.automl.v1beta1.DeleteDatasetRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_DeleteDatasetRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_DeleteDatasetRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.DeleteDatasetRequest.class, + com.google.cloud.automl.v1beta1.DeleteDatasetRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.DeleteDatasetRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + name_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_DeleteDatasetRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DeleteDatasetRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.DeleteDatasetRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DeleteDatasetRequest build() { + com.google.cloud.automl.v1beta1.DeleteDatasetRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DeleteDatasetRequest buildPartial() { + com.google.cloud.automl.v1beta1.DeleteDatasetRequest result = + new com.google.cloud.automl.v1beta1.DeleteDatasetRequest(this); + result.name_ = name_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.DeleteDatasetRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.DeleteDatasetRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.DeleteDatasetRequest other) { + if (other == com.google.cloud.automl.v1beta1.DeleteDatasetRequest.getDefaultInstance()) + return this; + if (!other.getName().isEmpty()) { + name_ = other.name_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.DeleteDatasetRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.DeleteDatasetRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object name_ = ""; + /** + * + * + * 
+     * Required. The resource name of the dataset to delete.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. The resource name of the dataset to delete.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. The resource name of the dataset to delete.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The name to set. + * @return This builder for chaining. + */ + public Builder setName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + name_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The resource name of the dataset to delete.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return This builder for chaining. + */ + public Builder clearName() { + + name_ = getDefaultInstance().getName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The resource name of the dataset to delete.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The bytes for name to set. + * @return This builder for chaining. + */ + public Builder setNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + name_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.DeleteDatasetRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.DeleteDatasetRequest) + private static final com.google.cloud.automl.v1beta1.DeleteDatasetRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.DeleteDatasetRequest(); + } + + public static com.google.cloud.automl.v1beta1.DeleteDatasetRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public DeleteDatasetRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new DeleteDatasetRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DeleteDatasetRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteDatasetRequestOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteDatasetRequestOrBuilder.java new file mode 100644 index 000000000..ae1b89874 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteDatasetRequestOrBuilder.java @@ -0,0 +1,54 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface DeleteDatasetRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.DeleteDatasetRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. The resource name of the dataset to delete.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + java.lang.String getName(); + /** + * + * + * 
+   * Required. The resource name of the dataset to delete.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + com.google.protobuf.ByteString getNameBytes(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteModelRequest.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteModelRequest.java new file mode 100644 index 000000000..886ce3561 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteModelRequest.java @@ -0,0 +1,648 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [AutoMl.DeleteModel][google.cloud.automl.v1beta1.AutoMl.DeleteModel].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.DeleteModelRequest} + */ +public final class DeleteModelRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.DeleteModelRequest) + DeleteModelRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use DeleteModelRequest.newBuilder() to construct. + private DeleteModelRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private DeleteModelRequest() { + name_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new DeleteModelRequest(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private DeleteModelRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + name_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_DeleteModelRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_DeleteModelRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.DeleteModelRequest.class, + com.google.cloud.automl.v1beta1.DeleteModelRequest.Builder.class); + } + + public static final int NAME_FIELD_NUMBER = 1; + private volatile java.lang.Object name_; + /** + * + * + * 
+   * Required. Resource name of the model being deleted.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. Resource name of the model being deleted.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.DeleteModelRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.DeleteModelRequest other = + (com.google.cloud.automl.v1beta1.DeleteModelRequest) obj; + + if (!getName().equals(other.getName())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + NAME_FIELD_NUMBER; + hash = (53 * hash) + getName().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.DeleteModelRequest parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DeleteModelRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DeleteModelRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DeleteModelRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DeleteModelRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DeleteModelRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DeleteModelRequest parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DeleteModelRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DeleteModelRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DeleteModelRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DeleteModelRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DeleteModelRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.DeleteModelRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [AutoMl.DeleteModel][google.cloud.automl.v1beta1.AutoMl.DeleteModel].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.DeleteModelRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.DeleteModelRequest) + com.google.cloud.automl.v1beta1.DeleteModelRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_DeleteModelRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_DeleteModelRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.DeleteModelRequest.class, + com.google.cloud.automl.v1beta1.DeleteModelRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.DeleteModelRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + name_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_DeleteModelRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DeleteModelRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.DeleteModelRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DeleteModelRequest build() { + com.google.cloud.automl.v1beta1.DeleteModelRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DeleteModelRequest buildPartial() { + com.google.cloud.automl.v1beta1.DeleteModelRequest result = + new com.google.cloud.automl.v1beta1.DeleteModelRequest(this); + result.name_ = name_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.DeleteModelRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.DeleteModelRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.DeleteModelRequest other) { + if (other == com.google.cloud.automl.v1beta1.DeleteModelRequest.getDefaultInstance()) + return this; + if (!other.getName().isEmpty()) { + name_ = other.name_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.DeleteModelRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.DeleteModelRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object name_ = ""; + /** + * + * + * 
+     * Required. Resource name of the model being deleted.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. Resource name of the model being deleted.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. Resource name of the model being deleted.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The name to set. + * @return This builder for chaining. + */ + public Builder setName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + name_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Resource name of the model being deleted.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return This builder for chaining. + */ + public Builder clearName() { + + name_ = getDefaultInstance().getName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Resource name of the model being deleted.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The bytes for name to set. + * @return This builder for chaining. + */ + public Builder setNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + name_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.DeleteModelRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.DeleteModelRequest) + private static final com.google.cloud.automl.v1beta1.DeleteModelRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.DeleteModelRequest(); + } + + public static com.google.cloud.automl.v1beta1.DeleteModelRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public DeleteModelRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new DeleteModelRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DeleteModelRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteModelRequestOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteModelRequestOrBuilder.java new file mode 100644 index 000000000..3e0f039f4 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteModelRequestOrBuilder.java @@ -0,0 +1,54 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface DeleteModelRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.DeleteModelRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. Resource name of the model being deleted.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + java.lang.String getName(); + /** + * + * + * 
+   * Required. Resource name of the model being deleted.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + com.google.protobuf.ByteString getNameBytes(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteOperationMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteOperationMetadata.java new file mode 100644 index 000000000..962bb5eb1 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteOperationMetadata.java @@ -0,0 +1,457 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/operations.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Details of operations that perform deletes of any entities.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.DeleteOperationMetadata} + */ +public final class DeleteOperationMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.DeleteOperationMetadata) + DeleteOperationMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use DeleteOperationMetadata.newBuilder() to construct. + private DeleteOperationMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private DeleteOperationMetadata() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new DeleteOperationMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private DeleteOperationMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_DeleteOperationMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_DeleteOperationMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.DeleteOperationMetadata.class, + com.google.cloud.automl.v1beta1.DeleteOperationMetadata.Builder.class); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.DeleteOperationMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.DeleteOperationMetadata other = + (com.google.cloud.automl.v1beta1.DeleteOperationMetadata) obj; + + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.DeleteOperationMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DeleteOperationMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DeleteOperationMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DeleteOperationMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DeleteOperationMetadata parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DeleteOperationMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DeleteOperationMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DeleteOperationMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DeleteOperationMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DeleteOperationMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DeleteOperationMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DeleteOperationMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.DeleteOperationMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Details of operations that perform deletes of any entities.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.DeleteOperationMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.DeleteOperationMetadata) + com.google.cloud.automl.v1beta1.DeleteOperationMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_DeleteOperationMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_DeleteOperationMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.DeleteOperationMetadata.class, + com.google.cloud.automl.v1beta1.DeleteOperationMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.DeleteOperationMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_DeleteOperationMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DeleteOperationMetadata getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.DeleteOperationMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DeleteOperationMetadata build() { + com.google.cloud.automl.v1beta1.DeleteOperationMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DeleteOperationMetadata buildPartial() { + com.google.cloud.automl.v1beta1.DeleteOperationMetadata result = + new com.google.cloud.automl.v1beta1.DeleteOperationMetadata(this); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.DeleteOperationMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.DeleteOperationMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.DeleteOperationMetadata other) { + if (other == com.google.cloud.automl.v1beta1.DeleteOperationMetadata.getDefaultInstance()) + return this; + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.DeleteOperationMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.DeleteOperationMetadata) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.DeleteOperationMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.DeleteOperationMetadata) + private static final com.google.cloud.automl.v1beta1.DeleteOperationMetadata DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.DeleteOperationMetadata(); + } + + public static com.google.cloud.automl.v1beta1.DeleteOperationMetadata getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public DeleteOperationMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new DeleteOperationMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DeleteOperationMetadata getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteOperationMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteOperationMetadataOrBuilder.java new file mode 100644 index 000000000..ad727f290 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteOperationMetadataOrBuilder.java @@ -0,0 +1,24 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/operations.proto + +package com.google.cloud.automl.v1beta1; + +public interface DeleteOperationMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.DeleteOperationMetadata) + com.google.protobuf.MessageOrBuilder {} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelOperationMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelOperationMetadata.java new file mode 100644 index 000000000..0146d792d --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelOperationMetadata.java @@ -0,0 +1,460 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/operations.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Details of DeployModel operation.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.DeployModelOperationMetadata} + */ +public final class DeployModelOperationMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.DeployModelOperationMetadata) + DeployModelOperationMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use DeployModelOperationMetadata.newBuilder() to construct. + private DeployModelOperationMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private DeployModelOperationMetadata() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new DeployModelOperationMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private DeployModelOperationMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_DeployModelOperationMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_DeployModelOperationMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.class, + com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.Builder.class); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.DeployModelOperationMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.DeployModelOperationMetadata other = + (com.google.cloud.automl.v1beta1.DeployModelOperationMetadata) obj; + + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.DeployModelOperationMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DeployModelOperationMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DeployModelOperationMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DeployModelOperationMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DeployModelOperationMetadata parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DeployModelOperationMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DeployModelOperationMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DeployModelOperationMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DeployModelOperationMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DeployModelOperationMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DeployModelOperationMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DeployModelOperationMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.DeployModelOperationMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Details of DeployModel operation.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.DeployModelOperationMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.DeployModelOperationMetadata) + com.google.cloud.automl.v1beta1.DeployModelOperationMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_DeployModelOperationMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_DeployModelOperationMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.class, + com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_DeployModelOperationMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DeployModelOperationMetadata + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DeployModelOperationMetadata build() { + com.google.cloud.automl.v1beta1.DeployModelOperationMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DeployModelOperationMetadata buildPartial() { + com.google.cloud.automl.v1beta1.DeployModelOperationMetadata result = + new com.google.cloud.automl.v1beta1.DeployModelOperationMetadata(this); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.DeployModelOperationMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.DeployModelOperationMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.DeployModelOperationMetadata other) { + if (other + == com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.getDefaultInstance()) + return this; + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.DeployModelOperationMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.DeployModelOperationMetadata) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.DeployModelOperationMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.DeployModelOperationMetadata) + private static final com.google.cloud.automl.v1beta1.DeployModelOperationMetadata + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.DeployModelOperationMetadata(); + } + + public static com.google.cloud.automl.v1beta1.DeployModelOperationMetadata getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public DeployModelOperationMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new DeployModelOperationMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DeployModelOperationMetadata getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelOperationMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelOperationMetadataOrBuilder.java new file mode 100644 index 000000000..b0d95bc95 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelOperationMetadataOrBuilder.java @@ -0,0 +1,24 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/operations.proto + +package com.google.cloud.automl.v1beta1; + +public interface DeployModelOperationMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.DeployModelOperationMetadata) + com.google.protobuf.MessageOrBuilder {} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelRequest.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelRequest.java new file mode 100644 index 000000000..31805c95b --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelRequest.java @@ -0,0 +1,1453 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [AutoMl.DeployModel][google.cloud.automl.v1beta1.AutoMl.DeployModel].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.DeployModelRequest} + */ +public final class DeployModelRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.DeployModelRequest) + DeployModelRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use DeployModelRequest.newBuilder() to construct. + private DeployModelRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private DeployModelRequest() { + name_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new DeployModelRequest(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private DeployModelRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + name_ = s; + break; + } + case 18: + { + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.Builder + subBuilder = null; + if (modelDeploymentMetadataCase_ == 2) { + subBuilder = + ((com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata) + modelDeploymentMetadata_) + .toBuilder(); + } + modelDeploymentMetadata_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + .parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata) + modelDeploymentMetadata_); + modelDeploymentMetadata_ = subBuilder.buildPartial(); + } + modelDeploymentMetadataCase_ = 2; + break; + } + case 34: + { + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata.Builder + subBuilder = null; + if (modelDeploymentMetadataCase_ == 4) { + subBuilder = + ((com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata) + modelDeploymentMetadata_) + .toBuilder(); + } + modelDeploymentMetadata_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + .parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata) + modelDeploymentMetadata_); + modelDeploymentMetadata_ = subBuilder.buildPartial(); + } + modelDeploymentMetadataCase_ = 4; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_DeployModelRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_DeployModelRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.DeployModelRequest.class, + com.google.cloud.automl.v1beta1.DeployModelRequest.Builder.class); + } + + private int modelDeploymentMetadataCase_ = 0; + private java.lang.Object modelDeploymentMetadata_; + + public enum ModelDeploymentMetadataCase + implements + com.google.protobuf.Internal.EnumLite, + com.google.protobuf.AbstractMessage.InternalOneOfEnum { + IMAGE_OBJECT_DETECTION_MODEL_DEPLOYMENT_METADATA(2), + IMAGE_CLASSIFICATION_MODEL_DEPLOYMENT_METADATA(4), + MODELDEPLOYMENTMETADATA_NOT_SET(0); + private final int value; + + private ModelDeploymentMetadataCase(int value) { + this.value = value; + } + /** + * @param value The number of the enum to look for. + * @return The enum associated with the given number. + * @deprecated Use {@link #forNumber(int)} instead. + */ + @java.lang.Deprecated + public static ModelDeploymentMetadataCase valueOf(int value) { + return forNumber(value); + } + + public static ModelDeploymentMetadataCase forNumber(int value) { + switch (value) { + case 2: + return IMAGE_OBJECT_DETECTION_MODEL_DEPLOYMENT_METADATA; + case 4: + return IMAGE_CLASSIFICATION_MODEL_DEPLOYMENT_METADATA; + case 0: + return MODELDEPLOYMENTMETADATA_NOT_SET; + default: + return null; + } + } + + public int getNumber() { + return this.value; + } + }; + + public ModelDeploymentMetadataCase getModelDeploymentMetadataCase() { + return ModelDeploymentMetadataCase.forNumber(modelDeploymentMetadataCase_); + } + + public static final int IMAGE_OBJECT_DETECTION_MODEL_DEPLOYMENT_METADATA_FIELD_NUMBER = 2; + /** + * + * + * 
+   * Model deployment metadata specific to Image Object Detection.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2; + * + * + * @return Whether the imageObjectDetectionModelDeploymentMetadata field is set. + */ + public boolean hasImageObjectDetectionModelDeploymentMetadata() { + return modelDeploymentMetadataCase_ == 2; + } + /** + * + * + * 
+   * Model deployment metadata specific to Image Object Detection.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2; + * + * + * @return The imageObjectDetectionModelDeploymentMetadata. + */ + public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + getImageObjectDetectionModelDeploymentMetadata() { + if (modelDeploymentMetadataCase_ == 2) { + return (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata) + modelDeploymentMetadata_; + } + return com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + .getDefaultInstance(); + } + /** + * + * + * 
+   * Model deployment metadata specific to Image Object Detection.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2; + * + */ + public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadataOrBuilder + getImageObjectDetectionModelDeploymentMetadataOrBuilder() { + if (modelDeploymentMetadataCase_ == 2) { + return (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata) + modelDeploymentMetadata_; + } + return com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + .getDefaultInstance(); + } + + public static final int IMAGE_CLASSIFICATION_MODEL_DEPLOYMENT_METADATA_FIELD_NUMBER = 4; + /** + * + * + * 
+   * Model deployment metadata specific to Image Classification.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata image_classification_model_deployment_metadata = 4; + * + * + * @return Whether the imageClassificationModelDeploymentMetadata field is set. + */ + public boolean hasImageClassificationModelDeploymentMetadata() { + return modelDeploymentMetadataCase_ == 4; + } + /** + * + * + * 
+   * Model deployment metadata specific to Image Classification.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata image_classification_model_deployment_metadata = 4; + * + * + * @return The imageClassificationModelDeploymentMetadata. + */ + public com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + getImageClassificationModelDeploymentMetadata() { + if (modelDeploymentMetadataCase_ == 4) { + return (com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata) + modelDeploymentMetadata_; + } + return com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + .getDefaultInstance(); + } + /** + * + * + * 
+   * Model deployment metadata specific to Image Classification.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata image_classification_model_deployment_metadata = 4; + * + */ + public com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadataOrBuilder + getImageClassificationModelDeploymentMetadataOrBuilder() { + if (modelDeploymentMetadataCase_ == 4) { + return (com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata) + modelDeploymentMetadata_; + } + return com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + .getDefaultInstance(); + } + + public static final int NAME_FIELD_NUMBER = 1; + private volatile java.lang.Object name_; + /** + * + * + * 
+   * Required. Resource name of the model to deploy.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. Resource name of the model to deploy.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_); + } + if (modelDeploymentMetadataCase_ == 2) { + output.writeMessage( + 2, + (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata) + modelDeploymentMetadata_); + } + if (modelDeploymentMetadataCase_ == 4) { + output.writeMessage( + 4, + (com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata) + modelDeploymentMetadata_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_); + } + if (modelDeploymentMetadataCase_ == 2) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 2, + (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata) + modelDeploymentMetadata_); + } + if (modelDeploymentMetadataCase_ == 4) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 4, + (com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata) + modelDeploymentMetadata_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.DeployModelRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.DeployModelRequest other = + (com.google.cloud.automl.v1beta1.DeployModelRequest) obj; + + if (!getName().equals(other.getName())) return false; + if (!getModelDeploymentMetadataCase().equals(other.getModelDeploymentMetadataCase())) + return false; + switch (modelDeploymentMetadataCase_) { + case 2: + if (!getImageObjectDetectionModelDeploymentMetadata() + .equals(other.getImageObjectDetectionModelDeploymentMetadata())) return false; + break; + case 4: + if (!getImageClassificationModelDeploymentMetadata() + .equals(other.getImageClassificationModelDeploymentMetadata())) return false; + break; + case 0: + default: + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + NAME_FIELD_NUMBER; + hash = (53 * hash) + getName().hashCode(); + switch (modelDeploymentMetadataCase_) { + case 2: + hash = (37 * hash) + IMAGE_OBJECT_DETECTION_MODEL_DEPLOYMENT_METADATA_FIELD_NUMBER; + hash = (53 * hash) + getImageObjectDetectionModelDeploymentMetadata().hashCode(); + break; + case 4: + hash = (37 * hash) + IMAGE_CLASSIFICATION_MODEL_DEPLOYMENT_METADATA_FIELD_NUMBER; + hash = (53 * hash) + getImageClassificationModelDeploymentMetadata().hashCode(); + break; + case 0: + default: + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.DeployModelRequest parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DeployModelRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DeployModelRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DeployModelRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DeployModelRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DeployModelRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DeployModelRequest parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DeployModelRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DeployModelRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DeployModelRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DeployModelRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DeployModelRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.DeployModelRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [AutoMl.DeployModel][google.cloud.automl.v1beta1.AutoMl.DeployModel].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.DeployModelRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.DeployModelRequest) + com.google.cloud.automl.v1beta1.DeployModelRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_DeployModelRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_DeployModelRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.DeployModelRequest.class, + com.google.cloud.automl.v1beta1.DeployModelRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.DeployModelRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + name_ = ""; + + modelDeploymentMetadataCase_ = 0; + modelDeploymentMetadata_ = null; + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_DeployModelRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DeployModelRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.DeployModelRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DeployModelRequest build() { + com.google.cloud.automl.v1beta1.DeployModelRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DeployModelRequest buildPartial() { + com.google.cloud.automl.v1beta1.DeployModelRequest result = + new com.google.cloud.automl.v1beta1.DeployModelRequest(this); + if (modelDeploymentMetadataCase_ == 2) { + if (imageObjectDetectionModelDeploymentMetadataBuilder_ == null) { + result.modelDeploymentMetadata_ = modelDeploymentMetadata_; + } else { + result.modelDeploymentMetadata_ = + imageObjectDetectionModelDeploymentMetadataBuilder_.build(); + } + } + if (modelDeploymentMetadataCase_ == 4) { + if (imageClassificationModelDeploymentMetadataBuilder_ == null) { + result.modelDeploymentMetadata_ = modelDeploymentMetadata_; + } else { + result.modelDeploymentMetadata_ = + imageClassificationModelDeploymentMetadataBuilder_.build(); + } + } + result.name_ = name_; + result.modelDeploymentMetadataCase_ = modelDeploymentMetadataCase_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.DeployModelRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.DeployModelRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.DeployModelRequest other) { + if (other == com.google.cloud.automl.v1beta1.DeployModelRequest.getDefaultInstance()) + return this; + if (!other.getName().isEmpty()) { + name_ = other.name_; + onChanged(); + } + switch (other.getModelDeploymentMetadataCase()) { + case IMAGE_OBJECT_DETECTION_MODEL_DEPLOYMENT_METADATA: + { + mergeImageObjectDetectionModelDeploymentMetadata( + other.getImageObjectDetectionModelDeploymentMetadata()); + break; + } + case IMAGE_CLASSIFICATION_MODEL_DEPLOYMENT_METADATA: + { + mergeImageClassificationModelDeploymentMetadata( + other.getImageClassificationModelDeploymentMetadata()); + break; + } + case MODELDEPLOYMENTMETADATA_NOT_SET: + { + break; + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.DeployModelRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.DeployModelRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int modelDeploymentMetadataCase_ = 0; + private java.lang.Object modelDeploymentMetadata_; + + public ModelDeploymentMetadataCase getModelDeploymentMetadataCase() { + return ModelDeploymentMetadataCase.forNumber(modelDeploymentMetadataCase_); + } + + public Builder clearModelDeploymentMetadata() { + modelDeploymentMetadataCase_ = 0; + modelDeploymentMetadata_ = null; + onChanged(); + return this; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata, + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.Builder, + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadataOrBuilder> + imageObjectDetectionModelDeploymentMetadataBuilder_; + /** + * + * + * 
+     * Model deployment metadata specific to Image Object Detection.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2; + * + * + * @return Whether the imageObjectDetectionModelDeploymentMetadata field is set. + */ + public boolean hasImageObjectDetectionModelDeploymentMetadata() { + return modelDeploymentMetadataCase_ == 2; + } + /** + * + * + * 
+     * Model deployment metadata specific to Image Object Detection.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2; + * + * + * @return The imageObjectDetectionModelDeploymentMetadata. + */ + public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + getImageObjectDetectionModelDeploymentMetadata() { + if (imageObjectDetectionModelDeploymentMetadataBuilder_ == null) { + if (modelDeploymentMetadataCase_ == 2) { + return (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata) + modelDeploymentMetadata_; + } + return com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + .getDefaultInstance(); + } else { + if (modelDeploymentMetadataCase_ == 2) { + return imageObjectDetectionModelDeploymentMetadataBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Model deployment metadata specific to Image Object Detection.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2; + * + */ + public Builder setImageObjectDetectionModelDeploymentMetadata( + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata value) { + if (imageObjectDetectionModelDeploymentMetadataBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + modelDeploymentMetadata_ = value; + onChanged(); + } else { + imageObjectDetectionModelDeploymentMetadataBuilder_.setMessage(value); + } + modelDeploymentMetadataCase_ = 2; + return this; + } + /** + * + * + * 
+     * Model deployment metadata specific to Image Object Detection.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2; + * + */ + public Builder setImageObjectDetectionModelDeploymentMetadata( + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.Builder + builderForValue) { + if (imageObjectDetectionModelDeploymentMetadataBuilder_ == null) { + modelDeploymentMetadata_ = builderForValue.build(); + onChanged(); + } else { + imageObjectDetectionModelDeploymentMetadataBuilder_.setMessage(builderForValue.build()); + } + modelDeploymentMetadataCase_ = 2; + return this; + } + /** + * + * + * 
+     * Model deployment metadata specific to Image Object Detection.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2; + * + */ + public Builder mergeImageObjectDetectionModelDeploymentMetadata( + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata value) { + if (imageObjectDetectionModelDeploymentMetadataBuilder_ == null) { + if (modelDeploymentMetadataCase_ == 2 + && modelDeploymentMetadata_ + != com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + .getDefaultInstance()) { + modelDeploymentMetadata_ = + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + .newBuilder( + (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata) + modelDeploymentMetadata_) + .mergeFrom(value) + .buildPartial(); + } else { + modelDeploymentMetadata_ = value; + } + onChanged(); + } else { + if (modelDeploymentMetadataCase_ == 2) { + imageObjectDetectionModelDeploymentMetadataBuilder_.mergeFrom(value); + } + imageObjectDetectionModelDeploymentMetadataBuilder_.setMessage(value); + } + modelDeploymentMetadataCase_ = 2; + return this; + } + /** + * + * + * 
+     * Model deployment metadata specific to Image Object Detection.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2; + * + */ + public Builder clearImageObjectDetectionModelDeploymentMetadata() { + if (imageObjectDetectionModelDeploymentMetadataBuilder_ == null) { + if (modelDeploymentMetadataCase_ == 2) { + modelDeploymentMetadataCase_ = 0; + modelDeploymentMetadata_ = null; + onChanged(); + } + } else { + if (modelDeploymentMetadataCase_ == 2) { + modelDeploymentMetadataCase_ = 0; + modelDeploymentMetadata_ = null; + } + imageObjectDetectionModelDeploymentMetadataBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Model deployment metadata specific to Image Object Detection.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2; + * + */ + public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.Builder + getImageObjectDetectionModelDeploymentMetadataBuilder() { + return getImageObjectDetectionModelDeploymentMetadataFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Model deployment metadata specific to Image Object Detection.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2; + * + */ + public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadataOrBuilder + getImageObjectDetectionModelDeploymentMetadataOrBuilder() { + if ((modelDeploymentMetadataCase_ == 2) + && (imageObjectDetectionModelDeploymentMetadataBuilder_ != null)) { + return imageObjectDetectionModelDeploymentMetadataBuilder_.getMessageOrBuilder(); + } else { + if (modelDeploymentMetadataCase_ == 2) { + return (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata) + modelDeploymentMetadata_; + } + return com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Model deployment metadata specific to Image Object Detection.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata, + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.Builder, + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadataOrBuilder> + getImageObjectDetectionModelDeploymentMetadataFieldBuilder() { + if (imageObjectDetectionModelDeploymentMetadataBuilder_ == null) { + if (!(modelDeploymentMetadataCase_ == 2)) { + modelDeploymentMetadata_ = + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + .getDefaultInstance(); + } + imageObjectDetectionModelDeploymentMetadataBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata, + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.Builder, + com.google.cloud.automl.v1beta1 + .ImageObjectDetectionModelDeploymentMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata) + modelDeploymentMetadata_, + getParentForChildren(), + isClean()); + modelDeploymentMetadata_ = null; + } + modelDeploymentMetadataCase_ = 2; + onChanged(); + ; + return imageObjectDetectionModelDeploymentMetadataBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata, + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata.Builder, + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadataOrBuilder> + imageClassificationModelDeploymentMetadataBuilder_; + /** + * + * + * 
+     * Model deployment metadata specific to Image Classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata image_classification_model_deployment_metadata = 4; + * + * + * @return Whether the imageClassificationModelDeploymentMetadata field is set. + */ + public boolean hasImageClassificationModelDeploymentMetadata() { + return modelDeploymentMetadataCase_ == 4; + } + /** + * + * + * 
+     * Model deployment metadata specific to Image Classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata image_classification_model_deployment_metadata = 4; + * + * + * @return The imageClassificationModelDeploymentMetadata. + */ + public com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + getImageClassificationModelDeploymentMetadata() { + if (imageClassificationModelDeploymentMetadataBuilder_ == null) { + if (modelDeploymentMetadataCase_ == 4) { + return (com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata) + modelDeploymentMetadata_; + } + return com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + .getDefaultInstance(); + } else { + if (modelDeploymentMetadataCase_ == 4) { + return imageClassificationModelDeploymentMetadataBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Model deployment metadata specific to Image Classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata image_classification_model_deployment_metadata = 4; + * + */ + public Builder setImageClassificationModelDeploymentMetadata( + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata value) { + if (imageClassificationModelDeploymentMetadataBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + modelDeploymentMetadata_ = value; + onChanged(); + } else { + imageClassificationModelDeploymentMetadataBuilder_.setMessage(value); + } + modelDeploymentMetadataCase_ = 4; + return this; + } + /** + * + * + * 
+     * Model deployment metadata specific to Image Classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata image_classification_model_deployment_metadata = 4; + * + */ + public Builder setImageClassificationModelDeploymentMetadata( + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata.Builder + builderForValue) { + if (imageClassificationModelDeploymentMetadataBuilder_ == null) { + modelDeploymentMetadata_ = builderForValue.build(); + onChanged(); + } else { + imageClassificationModelDeploymentMetadataBuilder_.setMessage(builderForValue.build()); + } + modelDeploymentMetadataCase_ = 4; + return this; + } + /** + * + * + * 
+     * Model deployment metadata specific to Image Classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata image_classification_model_deployment_metadata = 4; + * + */ + public Builder mergeImageClassificationModelDeploymentMetadata( + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata value) { + if (imageClassificationModelDeploymentMetadataBuilder_ == null) { + if (modelDeploymentMetadataCase_ == 4 + && modelDeploymentMetadata_ + != com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + .getDefaultInstance()) { + modelDeploymentMetadata_ = + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata) + modelDeploymentMetadata_) + .mergeFrom(value) + .buildPartial(); + } else { + modelDeploymentMetadata_ = value; + } + onChanged(); + } else { + if (modelDeploymentMetadataCase_ == 4) { + imageClassificationModelDeploymentMetadataBuilder_.mergeFrom(value); + } + imageClassificationModelDeploymentMetadataBuilder_.setMessage(value); + } + modelDeploymentMetadataCase_ = 4; + return this; + } + /** + * + * + * 
+     * Model deployment metadata specific to Image Classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata image_classification_model_deployment_metadata = 4; + * + */ + public Builder clearImageClassificationModelDeploymentMetadata() { + if (imageClassificationModelDeploymentMetadataBuilder_ == null) { + if (modelDeploymentMetadataCase_ == 4) { + modelDeploymentMetadataCase_ = 0; + modelDeploymentMetadata_ = null; + onChanged(); + } + } else { + if (modelDeploymentMetadataCase_ == 4) { + modelDeploymentMetadataCase_ = 0; + modelDeploymentMetadata_ = null; + } + imageClassificationModelDeploymentMetadataBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Model deployment metadata specific to Image Classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata image_classification_model_deployment_metadata = 4; + * + */ + public com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata.Builder + getImageClassificationModelDeploymentMetadataBuilder() { + return getImageClassificationModelDeploymentMetadataFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Model deployment metadata specific to Image Classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata image_classification_model_deployment_metadata = 4; + * + */ + public com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadataOrBuilder + getImageClassificationModelDeploymentMetadataOrBuilder() { + if ((modelDeploymentMetadataCase_ == 4) + && (imageClassificationModelDeploymentMetadataBuilder_ != null)) { + return imageClassificationModelDeploymentMetadataBuilder_.getMessageOrBuilder(); + } else { + if (modelDeploymentMetadataCase_ == 4) { + return (com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata) + modelDeploymentMetadata_; + } + return com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Model deployment metadata specific to Image Classification.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata image_classification_model_deployment_metadata = 4; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata, + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata.Builder, + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadataOrBuilder> + getImageClassificationModelDeploymentMetadataFieldBuilder() { + if (imageClassificationModelDeploymentMetadataBuilder_ == null) { + if (!(modelDeploymentMetadataCase_ == 4)) { + modelDeploymentMetadata_ = + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + .getDefaultInstance(); + } + imageClassificationModelDeploymentMetadataBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata, + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata.Builder, + com.google.cloud.automl.v1beta1 + .ImageClassificationModelDeploymentMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata) + modelDeploymentMetadata_, + getParentForChildren(), + isClean()); + modelDeploymentMetadata_ = null; + } + modelDeploymentMetadataCase_ = 4; + onChanged(); + ; + return imageClassificationModelDeploymentMetadataBuilder_; + } + + private java.lang.Object name_ = ""; + /** + * + * + * 
+     * Required. Resource name of the model to deploy.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. Resource name of the model to deploy.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. Resource name of the model to deploy.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The name to set. + * @return This builder for chaining. + */ + public Builder setName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + name_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Resource name of the model to deploy.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return This builder for chaining. + */ + public Builder clearName() { + + name_ = getDefaultInstance().getName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Resource name of the model to deploy.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The bytes for name to set. + * @return This builder for chaining. + */ + public Builder setNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + name_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.DeployModelRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.DeployModelRequest) + private static final com.google.cloud.automl.v1beta1.DeployModelRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.DeployModelRequest(); + } + + public static com.google.cloud.automl.v1beta1.DeployModelRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public DeployModelRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new DeployModelRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DeployModelRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelRequestOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelRequestOrBuilder.java new file mode 100644 index 000000000..3394982ce --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelRequestOrBuilder.java @@ -0,0 +1,143 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface DeployModelRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.DeployModelRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Model deployment metadata specific to Image Object Detection.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2; + * + * + * @return Whether the imageObjectDetectionModelDeploymentMetadata field is set. + */ + boolean hasImageObjectDetectionModelDeploymentMetadata(); + /** + * + * + * 
+   * Model deployment metadata specific to Image Object Detection.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2; + * + * + * @return The imageObjectDetectionModelDeploymentMetadata. + */ + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + getImageObjectDetectionModelDeploymentMetadata(); + /** + * + * + * 
+   * Model deployment metadata specific to Image Object Detection.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2; + * + */ + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadataOrBuilder + getImageObjectDetectionModelDeploymentMetadataOrBuilder(); + + /** + * + * + * 
+   * Model deployment metadata specific to Image Classification.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata image_classification_model_deployment_metadata = 4; + * + * + * @return Whether the imageClassificationModelDeploymentMetadata field is set. + */ + boolean hasImageClassificationModelDeploymentMetadata(); + /** + * + * + * 
+   * Model deployment metadata specific to Image Classification.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata image_classification_model_deployment_metadata = 4; + * + * + * @return The imageClassificationModelDeploymentMetadata. + */ + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + getImageClassificationModelDeploymentMetadata(); + /** + * + * + * 
+   * Model deployment metadata specific to Image Classification.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata image_classification_model_deployment_metadata = 4; + * + */ + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadataOrBuilder + getImageClassificationModelDeploymentMetadataOrBuilder(); + + /** + * + * + * 
+   * Required. Resource name of the model to deploy.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + java.lang.String getName(); + /** + * + * + * 
+   * Required. Resource name of the model to deploy.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + com.google.protobuf.ByteString getNameBytes(); + + public com.google.cloud.automl.v1beta1.DeployModelRequest.ModelDeploymentMetadataCase + getModelDeploymentMetadataCase(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Detection.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Detection.java new file mode 100644 index 000000000..eee627884 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Detection.java @@ -0,0 +1,169 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/detection.proto + +package com.google.cloud.automl.v1beta1; + +public final class Detection { + private Detection() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionAnnotation_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionAnnotation_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingAnnotation_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingAnnotation_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_ConfidenceMetricsEntry_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_ConfidenceMetricsEntry_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionEvaluationMetrics_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionEvaluationMetrics_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingEvaluationMetrics_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingEvaluationMetrics_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n+google/cloud/automl/v1beta1/detection." + + "proto\022\033google.cloud.automl.v1beta1\032*goog" + + "le/cloud/automl/v1beta1/geometry.proto\032\036" + + "google/protobuf/duration.proto\032\034google/a" + + "pi/annotations.proto\"p\n\036ImageObjectDetec" + + "tionAnnotation\022?\n\014bounding_box\030\001 \001(\0132).g" + + "oogle.cloud.automl.v1beta1.BoundingPoly\022" + + "\r\n\005score\030\002 \001(\002\"\264\001\n\035VideoObjectTrackingAn" + + "notation\022\023\n\013instance_id\030\001 \001(\t\022.\n\013time_of" + + "fset\030\002 \001(\0132\031.google.protobuf.Duration\022?\n" + + "\014bounding_box\030\003 \001(\0132).google.cloud.autom" + + "l.v1beta1.BoundingPoly\022\r\n\005score\030\004 \001(\002\"\256\002" + + "\n\027BoundingBoxMetricsEntry\022\025\n\riou_thresho" + + "ld\030\001 \001(\002\022\036\n\026mean_average_precision\030\002 \001(\002" + + "\022o\n\032confidence_metrics_entries\030\003 \003(\0132K.g" + + "oogle.cloud.automl.v1beta1.BoundingBoxMe" + + "tricsEntry.ConfidenceMetricsEntry\032k\n\026Con" + + "fidenceMetricsEntry\022\034\n\024confidence_thresh" + + "old\030\001 \001(\002\022\016\n\006recall\030\002 \001(\002\022\021\n\tprecision\030\003" + + " \001(\002\022\020\n\010f1_score\030\004 \001(\002\"\326\001\n%ImageObjectDe" + + "tectionEvaluationMetrics\022$\n\034evaluated_bo" + + "unding_box_count\030\001 \001(\005\022Z\n\034bounding_box_m" + + "etrics_entries\030\002 \003(\01324.google.cloud.auto" + + "ml.v1beta1.BoundingBoxMetricsEntry\022+\n#bo" + + "unding_box_mean_average_precision\030\003 \001(\002\"" + + "\364\001\n$VideoObjectTrackingEvaluationMetrics" + + "\022\035\n\025evaluated_frame_count\030\001 \001(\005\022$\n\034evalu" + + "ated_bounding_box_count\030\002 \001(\005\022Z\n\034boundin" + + "g_box_metrics_entries\030\004 \003(\01324.google.clo" + + "ud.automl.v1beta1.BoundingBoxMetricsEntr" + + "y\022+\n#bounding_box_mean_average_precision" + + "\030\006 \001(\002B\245\001\n\037com.google.cloud.automl.v1bet" + + "a1P\001ZAgoogle.golang.org/genproto/googlea" + + "pis/cloud/automl/v1beta1;automl\312\002\033Google" + + "\\Cloud\\AutoMl\\V1beta1\352\002\036Google::Cloud::A" + + "utoML::V1beta1b\006proto3" + }; + descriptor = + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.cloud.automl.v1beta1.Geometry.getDescriptor(), + com.google.protobuf.DurationProto.getDescriptor(), + com.google.api.AnnotationsProto.getDescriptor(), + }); + internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionAnnotation_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionAnnotation_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionAnnotation_descriptor, + new java.lang.String[] { + "BoundingBox", "Score", + }); + internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingAnnotation_descriptor = + getDescriptor().getMessageTypes().get(1); + internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingAnnotation_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingAnnotation_descriptor, + new java.lang.String[] { + "InstanceId", "TimeOffset", "BoundingBox", "Score", + }); + internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_descriptor = + getDescriptor().getMessageTypes().get(2); + internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_descriptor, + new java.lang.String[] { + "IouThreshold", "MeanAveragePrecision", "ConfidenceMetricsEntries", + }); + internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_ConfidenceMetricsEntry_descriptor = + internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_descriptor + .getNestedTypes() + .get(0); + internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_ConfidenceMetricsEntry_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_ConfidenceMetricsEntry_descriptor, + new java.lang.String[] { + "ConfidenceThreshold", "Recall", "Precision", "F1Score", + }); + internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionEvaluationMetrics_descriptor = + getDescriptor().getMessageTypes().get(3); + internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionEvaluationMetrics_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionEvaluationMetrics_descriptor, + new java.lang.String[] { + "EvaluatedBoundingBoxCount", + "BoundingBoxMetricsEntries", + "BoundingBoxMeanAveragePrecision", + }); + internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingEvaluationMetrics_descriptor = + getDescriptor().getMessageTypes().get(4); + internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingEvaluationMetrics_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingEvaluationMetrics_descriptor, + new java.lang.String[] { + "EvaluatedFrameCount", + "EvaluatedBoundingBoxCount", + "BoundingBoxMetricsEntries", + "BoundingBoxMeanAveragePrecision", + }); + com.google.cloud.automl.v1beta1.Geometry.getDescriptor(); + com.google.protobuf.DurationProto.getDescriptor(); + com.google.api.AnnotationsProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Document.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Document.java new file mode 100644 index 000000000..5849bb023 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Document.java @@ -0,0 +1,3702 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_items.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * A structured text document e.g. a PDF.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.Document} + */ +public final class Document extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.Document) + DocumentOrBuilder { + private static final long serialVersionUID = 0L; + // Use Document.newBuilder() to construct. + private Document(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private Document() { + layout_ = java.util.Collections.emptyList(); + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new Document(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private Document( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + com.google.cloud.automl.v1beta1.DocumentInputConfig.Builder subBuilder = null; + if (inputConfig_ != null) { + subBuilder = inputConfig_.toBuilder(); + } + inputConfig_ = + input.readMessage( + com.google.cloud.automl.v1beta1.DocumentInputConfig.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(inputConfig_); + inputConfig_ = subBuilder.buildPartial(); + } + + break; + } + case 18: + { + com.google.cloud.automl.v1beta1.TextSnippet.Builder subBuilder = null; + if (documentText_ != null) { + subBuilder = documentText_.toBuilder(); + } + documentText_ = + input.readMessage( + com.google.cloud.automl.v1beta1.TextSnippet.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(documentText_); + documentText_ = subBuilder.buildPartial(); + } + + break; + } + case 26: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + layout_ = + new java.util.ArrayList(); + mutable_bitField0_ |= 0x00000001; + } + layout_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.Document.Layout.parser(), extensionRegistry)); + break; + } + case 34: + { + com.google.cloud.automl.v1beta1.DocumentDimensions.Builder subBuilder = null; + if (documentDimensions_ != null) { + subBuilder = documentDimensions_.toBuilder(); + } + documentDimensions_ = + input.readMessage( + com.google.cloud.automl.v1beta1.DocumentDimensions.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(documentDimensions_); + documentDimensions_ = subBuilder.buildPartial(); + } + + break; + } + case 40: + { + pageCount_ = input.readInt32(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + layout_ = java.util.Collections.unmodifiableList(layout_); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_Document_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_Document_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.Document.class, + com.google.cloud.automl.v1beta1.Document.Builder.class); + } + + public interface LayoutOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.Document.Layout) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+     * Text Segment that represents a segment in
+     * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+     *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 1; + * + * @return Whether the textSegment field is set. + */ + boolean hasTextSegment(); + /** + * + * + * 
+     * Text Segment that represents a segment in
+     * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+     *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 1; + * + * @return The textSegment. + */ + com.google.cloud.automl.v1beta1.TextSegment getTextSegment(); + /** + * + * + * 
+     * Text Segment that represents a segment in
+     * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+     *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 1; + */ + com.google.cloud.automl.v1beta1.TextSegmentOrBuilder getTextSegmentOrBuilder(); + + /** + * + * + * 
+     * Page number of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in the original document, starts
+     * from 1.
+     *
+ * + * int32 page_number = 2; + * + * @return The pageNumber. + */ + int getPageNumber(); + + /** + * + * + * 
+     * The position of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in the page.
+     * Contains exactly 4
+     * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+     * and they are connected by edges in the order provided, which will
+     * represent a rectangle parallel to the frame. The
+     * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+     * relative to the page.
+     * Coordinates are based on top-left as point (0,0).
+     *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3; + * + * @return Whether the boundingPoly field is set. + */ + boolean hasBoundingPoly(); + /** + * + * + * 
+     * The position of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in the page.
+     * Contains exactly 4
+     * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+     * and they are connected by edges in the order provided, which will
+     * represent a rectangle parallel to the frame. The
+     * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+     * relative to the page.
+     * Coordinates are based on top-left as point (0,0).
+     *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3; + * + * @return The boundingPoly. + */ + com.google.cloud.automl.v1beta1.BoundingPoly getBoundingPoly(); + /** + * + * + * 
+     * The position of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in the page.
+     * Contains exactly 4
+     * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+     * and they are connected by edges in the order provided, which will
+     * represent a rectangle parallel to the frame. The
+     * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+     * relative to the page.
+     * Coordinates are based on top-left as point (0,0).
+     *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3; + */ + com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder getBoundingPolyOrBuilder(); + + /** + * + * + * 
+     * The type of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in document.
+     *
+ * + * .google.cloud.automl.v1beta1.Document.Layout.TextSegmentType text_segment_type = 4; + * + * + * @return The enum numeric value on the wire for textSegmentType. + */ + int getTextSegmentTypeValue(); + /** + * + * + * 
+     * The type of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in document.
+     *
+ * + * .google.cloud.automl.v1beta1.Document.Layout.TextSegmentType text_segment_type = 4; + * + * + * @return The textSegmentType. + */ + com.google.cloud.automl.v1beta1.Document.Layout.TextSegmentType getTextSegmentType(); + } + /** + * + * + * 
+   * Describes the layout information of a [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in the document.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.Document.Layout} + */ + public static final class Layout extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.Document.Layout) + LayoutOrBuilder { + private static final long serialVersionUID = 0L; + // Use Layout.newBuilder() to construct. + private Layout(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private Layout() { + textSegmentType_ = 0; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new Layout(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private Layout( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + com.google.cloud.automl.v1beta1.TextSegment.Builder subBuilder = null; + if (textSegment_ != null) { + subBuilder = textSegment_.toBuilder(); + } + textSegment_ = + input.readMessage( + com.google.cloud.automl.v1beta1.TextSegment.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(textSegment_); + textSegment_ = subBuilder.buildPartial(); + } + + break; + } + case 16: + { + pageNumber_ = input.readInt32(); + break; + } + case 26: + { + com.google.cloud.automl.v1beta1.BoundingPoly.Builder subBuilder = null; + if (boundingPoly_ != null) { + subBuilder = boundingPoly_.toBuilder(); + } + boundingPoly_ = + input.readMessage( + com.google.cloud.automl.v1beta1.BoundingPoly.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(boundingPoly_); + boundingPoly_ = subBuilder.buildPartial(); + } + + break; + } + case 32: + { + int rawValue = input.readEnum(); + + textSegmentType_ = rawValue; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_Document_Layout_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_Document_Layout_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.Document.Layout.class, + com.google.cloud.automl.v1beta1.Document.Layout.Builder.class); + } + + /** + * + * + * 
+     * The type of TextSegment in the context of the original document.
+     *
+ * + * Protobuf enum {@code google.cloud.automl.v1beta1.Document.Layout.TextSegmentType} + */ + public enum TextSegmentType implements com.google.protobuf.ProtocolMessageEnum { + /** + * + * + * 
+       * Should not be used.
+       *
+ * + * TEXT_SEGMENT_TYPE_UNSPECIFIED = 0; + */ + TEXT_SEGMENT_TYPE_UNSPECIFIED(0), + /** + * + * + * 
+       * The text segment is a token. e.g. word.
+       *
+ * + * TOKEN = 1; + */ + TOKEN(1), + /** + * + * + * 
+       * The text segment is a paragraph.
+       *
+ * + * PARAGRAPH = 2; + */ + PARAGRAPH(2), + /** + * + * + * 
+       * The text segment is a form field.
+       *
+ * + * FORM_FIELD = 3; + */ + FORM_FIELD(3), + /** + * + * + * 
+       * The text segment is the name part of a form field. It will be treated
+       * as child of another FORM_FIELD TextSegment if its span is subspan of
+       * another TextSegment with type FORM_FIELD.
+       *
+ * + * FORM_FIELD_NAME = 4; + */ + FORM_FIELD_NAME(4), + /** + * + * + * 
+       * The text segment is the text content part of a form field. It will be
+       * treated as child of another FORM_FIELD TextSegment if its span is
+       * subspan of another TextSegment with type FORM_FIELD.
+       *
+ * + * FORM_FIELD_CONTENTS = 5; + */ + FORM_FIELD_CONTENTS(5), + /** + * + * + * 
+       * The text segment is a whole table, including headers, and all rows.
+       *
+ * + * TABLE = 6; + */ + TABLE(6), + /** + * + * + * 
+       * The text segment is a table's headers. It will be treated as child of
+       * another TABLE TextSegment if its span is subspan of another TextSegment
+       * with type TABLE.
+       *
+ * + * TABLE_HEADER = 7; + */ + TABLE_HEADER(7), + /** + * + * + * 
+       * The text segment is a row in table. It will be treated as child of
+       * another TABLE TextSegment if its span is subspan of another TextSegment
+       * with type TABLE.
+       *
+ * + * TABLE_ROW = 8; + */ + TABLE_ROW(8), + /** + * + * + * 
+       * The text segment is a cell in table. It will be treated as child of
+       * another TABLE_ROW TextSegment if its span is subspan of another
+       * TextSegment with type TABLE_ROW.
+       *
+ * + * TABLE_CELL = 9; + */ + TABLE_CELL(9), + UNRECOGNIZED(-1), + ; + + /** + * + * + * 
+       * Should not be used.
+       *
+ * + * TEXT_SEGMENT_TYPE_UNSPECIFIED = 0; + */ + public static final int TEXT_SEGMENT_TYPE_UNSPECIFIED_VALUE = 0; + /** + * + * + * 
+       * The text segment is a token. e.g. word.
+       *
+ * + * TOKEN = 1; + */ + public static final int TOKEN_VALUE = 1; + /** + * + * + * 
+       * The text segment is a paragraph.
+       *
+ * + * PARAGRAPH = 2; + */ + public static final int PARAGRAPH_VALUE = 2; + /** + * + * + * 
+       * The text segment is a form field.
+       *
+ * + * FORM_FIELD = 3; + */ + public static final int FORM_FIELD_VALUE = 3; + /** + * + * + * 
+       * The text segment is the name part of a form field. It will be treated
+       * as child of another FORM_FIELD TextSegment if its span is subspan of
+       * another TextSegment with type FORM_FIELD.
+       *
+ * + * FORM_FIELD_NAME = 4; + */ + public static final int FORM_FIELD_NAME_VALUE = 4; + /** + * + * + * 
+       * The text segment is the text content part of a form field. It will be
+       * treated as child of another FORM_FIELD TextSegment if its span is
+       * subspan of another TextSegment with type FORM_FIELD.
+       *
+ * + * FORM_FIELD_CONTENTS = 5; + */ + public static final int FORM_FIELD_CONTENTS_VALUE = 5; + /** + * + * + * 
+       * The text segment is a whole table, including headers, and all rows.
+       *
+ * + * TABLE = 6; + */ + public static final int TABLE_VALUE = 6; + /** + * + * + * 
+       * The text segment is a table's headers. It will be treated as child of
+       * another TABLE TextSegment if its span is subspan of another TextSegment
+       * with type TABLE.
+       *
+ * + * TABLE_HEADER = 7; + */ + public static final int TABLE_HEADER_VALUE = 7; + /** + * + * + * 
+       * The text segment is a row in table. It will be treated as child of
+       * another TABLE TextSegment if its span is subspan of another TextSegment
+       * with type TABLE.
+       *
+ * + * TABLE_ROW = 8; + */ + public static final int TABLE_ROW_VALUE = 8; + /** + * + * + * 
+       * The text segment is a cell in table. It will be treated as child of
+       * another TABLE_ROW TextSegment if its span is subspan of another
+       * TextSegment with type TABLE_ROW.
+       *
+ * + * TABLE_CELL = 9; + */ + public static final int TABLE_CELL_VALUE = 9; + + public final int getNumber() { + if (this == UNRECOGNIZED) { + throw new java.lang.IllegalArgumentException( + "Can't get the number of an unknown enum value."); + } + return value; + } + + /** + * @param value The numeric wire value of the corresponding enum entry. + * @return The enum associated with the given numeric wire value. + * @deprecated Use {@link #forNumber(int)} instead. + */ + @java.lang.Deprecated + public static TextSegmentType valueOf(int value) { + return forNumber(value); + } + + /** + * @param value The numeric wire value of the corresponding enum entry. + * @return The enum associated with the given numeric wire value. + */ + public static TextSegmentType forNumber(int value) { + switch (value) { + case 0: + return TEXT_SEGMENT_TYPE_UNSPECIFIED; + case 1: + return TOKEN; + case 2: + return PARAGRAPH; + case 3: + return FORM_FIELD; + case 4: + return FORM_FIELD_NAME; + case 5: + return FORM_FIELD_CONTENTS; + case 6: + return TABLE; + case 7: + return TABLE_HEADER; + case 8: + return TABLE_ROW; + case 9: + return TABLE_CELL; + default: + return null; + } + } + + public static com.google.protobuf.Internal.EnumLiteMap + internalGetValueMap() { + return internalValueMap; + } + + private static final com.google.protobuf.Internal.EnumLiteMap + internalValueMap = + new com.google.protobuf.Internal.EnumLiteMap() { + public TextSegmentType findValueByNumber(int number) { + return TextSegmentType.forNumber(number); + } + }; + + public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() { + return getDescriptor().getValues().get(ordinal()); + } + + public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() { + return getDescriptor(); + } + + public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Document.Layout.getDescriptor() + .getEnumTypes() + .get(0); + } + + private static final TextSegmentType[] VALUES = values(); + + public static TextSegmentType valueOf( + com.google.protobuf.Descriptors.EnumValueDescriptor desc) { + if (desc.getType() != getDescriptor()) { + throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type."); + } + if (desc.getIndex() == -1) { + return UNRECOGNIZED; + } + return VALUES[desc.getIndex()]; + } + + private final int value; + + private TextSegmentType(int value) { + this.value = value; + } + + // @@protoc_insertion_point(enum_scope:google.cloud.automl.v1beta1.Document.Layout.TextSegmentType) + } + + public static final int TEXT_SEGMENT_FIELD_NUMBER = 1; + private com.google.cloud.automl.v1beta1.TextSegment textSegment_; + /** + * + * + * 
+     * Text Segment that represents a segment in
+     * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+     *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 1; + * + * @return Whether the textSegment field is set. + */ + public boolean hasTextSegment() { + return textSegment_ != null; + } + /** + * + * + * 
+     * Text Segment that represents a segment in
+     * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+     *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 1; + * + * @return The textSegment. + */ + public com.google.cloud.automl.v1beta1.TextSegment getTextSegment() { + return textSegment_ == null + ? com.google.cloud.automl.v1beta1.TextSegment.getDefaultInstance() + : textSegment_; + } + /** + * + * + * 
+     * Text Segment that represents a segment in
+     * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+     *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 1; + */ + public com.google.cloud.automl.v1beta1.TextSegmentOrBuilder getTextSegmentOrBuilder() { + return getTextSegment(); + } + + public static final int PAGE_NUMBER_FIELD_NUMBER = 2; + private int pageNumber_; + /** + * + * + * 
+     * Page number of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in the original document, starts
+     * from 1.
+     *
+ * + * int32 page_number = 2; + * + * @return The pageNumber. + */ + public int getPageNumber() { + return pageNumber_; + } + + public static final int BOUNDING_POLY_FIELD_NUMBER = 3; + private com.google.cloud.automl.v1beta1.BoundingPoly boundingPoly_; + /** + * + * + * 
+     * The position of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in the page.
+     * Contains exactly 4
+     * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+     * and they are connected by edges in the order provided, which will
+     * represent a rectangle parallel to the frame. The
+     * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+     * relative to the page.
+     * Coordinates are based on top-left as point (0,0).
+     *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3; + * + * @return Whether the boundingPoly field is set. + */ + public boolean hasBoundingPoly() { + return boundingPoly_ != null; + } + /** + * + * + * 
+     * The position of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in the page.
+     * Contains exactly 4
+     * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+     * and they are connected by edges in the order provided, which will
+     * represent a rectangle parallel to the frame. The
+     * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+     * relative to the page.
+     * Coordinates are based on top-left as point (0,0).
+     *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3; + * + * @return The boundingPoly. + */ + public com.google.cloud.automl.v1beta1.BoundingPoly getBoundingPoly() { + return boundingPoly_ == null + ? com.google.cloud.automl.v1beta1.BoundingPoly.getDefaultInstance() + : boundingPoly_; + } + /** + * + * + * 
+     * The position of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in the page.
+     * Contains exactly 4
+     * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+     * and they are connected by edges in the order provided, which will
+     * represent a rectangle parallel to the frame. The
+     * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+     * relative to the page.
+     * Coordinates are based on top-left as point (0,0).
+     *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3; + */ + public com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder getBoundingPolyOrBuilder() { + return getBoundingPoly(); + } + + public static final int TEXT_SEGMENT_TYPE_FIELD_NUMBER = 4; + private int textSegmentType_; + /** + * + * + * 
+     * The type of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in document.
+     *
+ * + * .google.cloud.automl.v1beta1.Document.Layout.TextSegmentType text_segment_type = 4; + * + * + * @return The enum numeric value on the wire for textSegmentType. + */ + public int getTextSegmentTypeValue() { + return textSegmentType_; + } + /** + * + * + * 
+     * The type of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in document.
+     *
+ * + * .google.cloud.automl.v1beta1.Document.Layout.TextSegmentType text_segment_type = 4; + * + * + * @return The textSegmentType. + */ + public com.google.cloud.automl.v1beta1.Document.Layout.TextSegmentType getTextSegmentType() { + @SuppressWarnings("deprecation") + com.google.cloud.automl.v1beta1.Document.Layout.TextSegmentType result = + com.google.cloud.automl.v1beta1.Document.Layout.TextSegmentType.valueOf(textSegmentType_); + return result == null + ? com.google.cloud.automl.v1beta1.Document.Layout.TextSegmentType.UNRECOGNIZED + : result; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (textSegment_ != null) { + output.writeMessage(1, getTextSegment()); + } + if (pageNumber_ != 0) { + output.writeInt32(2, pageNumber_); + } + if (boundingPoly_ != null) { + output.writeMessage(3, getBoundingPoly()); + } + if (textSegmentType_ + != com.google.cloud.automl.v1beta1.Document.Layout.TextSegmentType + .TEXT_SEGMENT_TYPE_UNSPECIFIED + .getNumber()) { + output.writeEnum(4, textSegmentType_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (textSegment_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getTextSegment()); + } + if (pageNumber_ != 0) { + size += com.google.protobuf.CodedOutputStream.computeInt32Size(2, pageNumber_); + } + if (boundingPoly_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, getBoundingPoly()); + } + if (textSegmentType_ + != com.google.cloud.automl.v1beta1.Document.Layout.TextSegmentType + .TEXT_SEGMENT_TYPE_UNSPECIFIED + .getNumber()) { + size += com.google.protobuf.CodedOutputStream.computeEnumSize(4, textSegmentType_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.Document.Layout)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.Document.Layout other = + (com.google.cloud.automl.v1beta1.Document.Layout) obj; + + if (hasTextSegment() != other.hasTextSegment()) return false; + if (hasTextSegment()) { + if (!getTextSegment().equals(other.getTextSegment())) return false; + } + if (getPageNumber() != other.getPageNumber()) return false; + if (hasBoundingPoly() != other.hasBoundingPoly()) return false; + if (hasBoundingPoly()) { + if (!getBoundingPoly().equals(other.getBoundingPoly())) return false; + } + if (textSegmentType_ != other.textSegmentType_) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (hasTextSegment()) { + hash = (37 * hash) + TEXT_SEGMENT_FIELD_NUMBER; + hash = (53 * hash) + getTextSegment().hashCode(); + } + hash = (37 * hash) + PAGE_NUMBER_FIELD_NUMBER; + hash = (53 * hash) + getPageNumber(); + if (hasBoundingPoly()) { + hash = (37 * hash) + BOUNDING_POLY_FIELD_NUMBER; + hash = (53 * hash) + getBoundingPoly().hashCode(); + } + hash = (37 * hash) + TEXT_SEGMENT_TYPE_FIELD_NUMBER; + hash = (53 * hash) + textSegmentType_; + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.Document.Layout parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.Document.Layout parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Document.Layout parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.Document.Layout parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Document.Layout parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.Document.Layout parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Document.Layout parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.Document.Layout parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Document.Layout parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.Document.Layout parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Document.Layout parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.Document.Layout parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.Document.Layout prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType( + com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+     * Describes the layout information of a [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in the document.
+     *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.Document.Layout} + */ + public static final class Builder + extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.Document.Layout) + com.google.cloud.automl.v1beta1.Document.LayoutOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_Document_Layout_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_Document_Layout_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.Document.Layout.class, + com.google.cloud.automl.v1beta1.Document.Layout.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.Document.Layout.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (textSegmentBuilder_ == null) { + textSegment_ = null; + } else { + textSegment_ = null; + textSegmentBuilder_ = null; + } + pageNumber_ = 0; + + if (boundingPolyBuilder_ == null) { + boundingPoly_ = null; + } else { + boundingPoly_ = null; + boundingPolyBuilder_ = null; + } + textSegmentType_ = 0; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_Document_Layout_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Document.Layout getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.Document.Layout.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Document.Layout build() { + com.google.cloud.automl.v1beta1.Document.Layout result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Document.Layout buildPartial() { + com.google.cloud.automl.v1beta1.Document.Layout result = + new com.google.cloud.automl.v1beta1.Document.Layout(this); + if (textSegmentBuilder_ == null) { + result.textSegment_ = textSegment_; + } else { + result.textSegment_ = textSegmentBuilder_.build(); + } + result.pageNumber_ = pageNumber_; + if (boundingPolyBuilder_ == null) { + result.boundingPoly_ = boundingPoly_; + } else { + result.boundingPoly_ = boundingPolyBuilder_.build(); + } + result.textSegmentType_ = textSegmentType_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, + int index, + java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.Document.Layout) { + return mergeFrom((com.google.cloud.automl.v1beta1.Document.Layout) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.Document.Layout other) { + if (other == com.google.cloud.automl.v1beta1.Document.Layout.getDefaultInstance()) + return this; + if (other.hasTextSegment()) { + mergeTextSegment(other.getTextSegment()); + } + if (other.getPageNumber() != 0) { + setPageNumber(other.getPageNumber()); + } + if (other.hasBoundingPoly()) { + mergeBoundingPoly(other.getBoundingPoly()); + } + if (other.textSegmentType_ != 0) { + setTextSegmentTypeValue(other.getTextSegmentTypeValue()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.Document.Layout parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.Document.Layout) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private com.google.cloud.automl.v1beta1.TextSegment textSegment_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSegment, + com.google.cloud.automl.v1beta1.TextSegment.Builder, + com.google.cloud.automl.v1beta1.TextSegmentOrBuilder> + textSegmentBuilder_; + /** + * + * + * 
+       * Text Segment that represents a segment in
+       * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+       *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 1; + * + * @return Whether the textSegment field is set. + */ + public boolean hasTextSegment() { + return textSegmentBuilder_ != null || textSegment_ != null; + } + /** + * + * + * 
+       * Text Segment that represents a segment in
+       * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+       *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 1; + * + * @return The textSegment. + */ + public com.google.cloud.automl.v1beta1.TextSegment getTextSegment() { + if (textSegmentBuilder_ == null) { + return textSegment_ == null + ? com.google.cloud.automl.v1beta1.TextSegment.getDefaultInstance() + : textSegment_; + } else { + return textSegmentBuilder_.getMessage(); + } + } + /** + * + * + * 
+       * Text Segment that represents a segment in
+       * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+       *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 1; + */ + public Builder setTextSegment(com.google.cloud.automl.v1beta1.TextSegment value) { + if (textSegmentBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + textSegment_ = value; + onChanged(); + } else { + textSegmentBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+       * Text Segment that represents a segment in
+       * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+       *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 1; + */ + public Builder setTextSegment( + com.google.cloud.automl.v1beta1.TextSegment.Builder builderForValue) { + if (textSegmentBuilder_ == null) { + textSegment_ = builderForValue.build(); + onChanged(); + } else { + textSegmentBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+       * Text Segment that represents a segment in
+       * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+       *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 1; + */ + public Builder mergeTextSegment(com.google.cloud.automl.v1beta1.TextSegment value) { + if (textSegmentBuilder_ == null) { + if (textSegment_ != null) { + textSegment_ = + com.google.cloud.automl.v1beta1.TextSegment.newBuilder(textSegment_) + .mergeFrom(value) + .buildPartial(); + } else { + textSegment_ = value; + } + onChanged(); + } else { + textSegmentBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+       * Text Segment that represents a segment in
+       * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+       *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 1; + */ + public Builder clearTextSegment() { + if (textSegmentBuilder_ == null) { + textSegment_ = null; + onChanged(); + } else { + textSegment_ = null; + textSegmentBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+       * Text Segment that represents a segment in
+       * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+       *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 1; + */ + public com.google.cloud.automl.v1beta1.TextSegment.Builder getTextSegmentBuilder() { + + onChanged(); + return getTextSegmentFieldBuilder().getBuilder(); + } + /** + * + * + * 
+       * Text Segment that represents a segment in
+       * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+       *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 1; + */ + public com.google.cloud.automl.v1beta1.TextSegmentOrBuilder getTextSegmentOrBuilder() { + if (textSegmentBuilder_ != null) { + return textSegmentBuilder_.getMessageOrBuilder(); + } else { + return textSegment_ == null + ? com.google.cloud.automl.v1beta1.TextSegment.getDefaultInstance() + : textSegment_; + } + } + /** + * + * + * 
+       * Text Segment that represents a segment in
+       * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+       *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 1; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSegment, + com.google.cloud.automl.v1beta1.TextSegment.Builder, + com.google.cloud.automl.v1beta1.TextSegmentOrBuilder> + getTextSegmentFieldBuilder() { + if (textSegmentBuilder_ == null) { + textSegmentBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSegment, + com.google.cloud.automl.v1beta1.TextSegment.Builder, + com.google.cloud.automl.v1beta1.TextSegmentOrBuilder>( + getTextSegment(), getParentForChildren(), isClean()); + textSegment_ = null; + } + return textSegmentBuilder_; + } + + private int pageNumber_; + /** + * + * + * 
+       * Page number of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in the original document, starts
+       * from 1.
+       *
+ * + * int32 page_number = 2; + * + * @return The pageNumber. + */ + public int getPageNumber() { + return pageNumber_; + } + /** + * + * + * 
+       * Page number of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in the original document, starts
+       * from 1.
+       *
+ * + * int32 page_number = 2; + * + * @param value The pageNumber to set. + * @return This builder for chaining. + */ + public Builder setPageNumber(int value) { + + pageNumber_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Page number of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in the original document, starts
+       * from 1.
+       *
+ * + * int32 page_number = 2; + * + * @return This builder for chaining. + */ + public Builder clearPageNumber() { + + pageNumber_ = 0; + onChanged(); + return this; + } + + private com.google.cloud.automl.v1beta1.BoundingPoly boundingPoly_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BoundingPoly, + com.google.cloud.automl.v1beta1.BoundingPoly.Builder, + com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder> + boundingPolyBuilder_; + /** + * + * + * 
+       * The position of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in the page.
+       * Contains exactly 4
+       * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+       * and they are connected by edges in the order provided, which will
+       * represent a rectangle parallel to the frame. The
+       * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+       * relative to the page.
+       * Coordinates are based on top-left as point (0,0).
+       *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3; + * + * @return Whether the boundingPoly field is set. + */ + public boolean hasBoundingPoly() { + return boundingPolyBuilder_ != null || boundingPoly_ != null; + } + /** + * + * + * 
+       * The position of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in the page.
+       * Contains exactly 4
+       * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+       * and they are connected by edges in the order provided, which will
+       * represent a rectangle parallel to the frame. The
+       * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+       * relative to the page.
+       * Coordinates are based on top-left as point (0,0).
+       *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3; + * + * @return The boundingPoly. + */ + public com.google.cloud.automl.v1beta1.BoundingPoly getBoundingPoly() { + if (boundingPolyBuilder_ == null) { + return boundingPoly_ == null + ? com.google.cloud.automl.v1beta1.BoundingPoly.getDefaultInstance() + : boundingPoly_; + } else { + return boundingPolyBuilder_.getMessage(); + } + } + /** + * + * + * 
+       * The position of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in the page.
+       * Contains exactly 4
+       * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+       * and they are connected by edges in the order provided, which will
+       * represent a rectangle parallel to the frame. The
+       * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+       * relative to the page.
+       * Coordinates are based on top-left as point (0,0).
+       *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3; + */ + public Builder setBoundingPoly(com.google.cloud.automl.v1beta1.BoundingPoly value) { + if (boundingPolyBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + boundingPoly_ = value; + onChanged(); + } else { + boundingPolyBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+       * The position of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in the page.
+       * Contains exactly 4
+       * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+       * and they are connected by edges in the order provided, which will
+       * represent a rectangle parallel to the frame. The
+       * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+       * relative to the page.
+       * Coordinates are based on top-left as point (0,0).
+       *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3; + */ + public Builder setBoundingPoly( + com.google.cloud.automl.v1beta1.BoundingPoly.Builder builderForValue) { + if (boundingPolyBuilder_ == null) { + boundingPoly_ = builderForValue.build(); + onChanged(); + } else { + boundingPolyBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+       * The position of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in the page.
+       * Contains exactly 4
+       * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+       * and they are connected by edges in the order provided, which will
+       * represent a rectangle parallel to the frame. The
+       * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+       * relative to the page.
+       * Coordinates are based on top-left as point (0,0).
+       *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3; + */ + public Builder mergeBoundingPoly(com.google.cloud.automl.v1beta1.BoundingPoly value) { + if (boundingPolyBuilder_ == null) { + if (boundingPoly_ != null) { + boundingPoly_ = + com.google.cloud.automl.v1beta1.BoundingPoly.newBuilder(boundingPoly_) + .mergeFrom(value) + .buildPartial(); + } else { + boundingPoly_ = value; + } + onChanged(); + } else { + boundingPolyBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+       * The position of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in the page.
+       * Contains exactly 4
+       * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+       * and they are connected by edges in the order provided, which will
+       * represent a rectangle parallel to the frame. The
+       * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+       * relative to the page.
+       * Coordinates are based on top-left as point (0,0).
+       *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3; + */ + public Builder clearBoundingPoly() { + if (boundingPolyBuilder_ == null) { + boundingPoly_ = null; + onChanged(); + } else { + boundingPoly_ = null; + boundingPolyBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+       * The position of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in the page.
+       * Contains exactly 4
+       * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+       * and they are connected by edges in the order provided, which will
+       * represent a rectangle parallel to the frame. The
+       * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+       * relative to the page.
+       * Coordinates are based on top-left as point (0,0).
+       *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3; + */ + public com.google.cloud.automl.v1beta1.BoundingPoly.Builder getBoundingPolyBuilder() { + + onChanged(); + return getBoundingPolyFieldBuilder().getBuilder(); + } + /** + * + * + * 
+       * The position of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in the page.
+       * Contains exactly 4
+       * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+       * and they are connected by edges in the order provided, which will
+       * represent a rectangle parallel to the frame. The
+       * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+       * relative to the page.
+       * Coordinates are based on top-left as point (0,0).
+       *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3; + */ + public com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder getBoundingPolyOrBuilder() { + if (boundingPolyBuilder_ != null) { + return boundingPolyBuilder_.getMessageOrBuilder(); + } else { + return boundingPoly_ == null + ? com.google.cloud.automl.v1beta1.BoundingPoly.getDefaultInstance() + : boundingPoly_; + } + } + /** + * + * + * 
+       * The position of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in the page.
+       * Contains exactly 4
+       * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+       * and they are connected by edges in the order provided, which will
+       * represent a rectangle parallel to the frame. The
+       * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+       * relative to the page.
+       * Coordinates are based on top-left as point (0,0).
+       *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BoundingPoly, + com.google.cloud.automl.v1beta1.BoundingPoly.Builder, + com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder> + getBoundingPolyFieldBuilder() { + if (boundingPolyBuilder_ == null) { + boundingPolyBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BoundingPoly, + com.google.cloud.automl.v1beta1.BoundingPoly.Builder, + com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder>( + getBoundingPoly(), getParentForChildren(), isClean()); + boundingPoly_ = null; + } + return boundingPolyBuilder_; + } + + private int textSegmentType_ = 0; + /** + * + * + * 
+       * The type of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in document.
+       *
+ * + * .google.cloud.automl.v1beta1.Document.Layout.TextSegmentType text_segment_type = 4; + * + * + * @return The enum numeric value on the wire for textSegmentType. + */ + public int getTextSegmentTypeValue() { + return textSegmentType_; + } + /** + * + * + * 
+       * The type of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in document.
+       *
+ * + * .google.cloud.automl.v1beta1.Document.Layout.TextSegmentType text_segment_type = 4; + * + * + * @param value The enum numeric value on the wire for textSegmentType to set. + * @return This builder for chaining. + */ + public Builder setTextSegmentTypeValue(int value) { + textSegmentType_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * The type of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in document.
+       *
+ * + * .google.cloud.automl.v1beta1.Document.Layout.TextSegmentType text_segment_type = 4; + * + * + * @return The textSegmentType. + */ + public com.google.cloud.automl.v1beta1.Document.Layout.TextSegmentType getTextSegmentType() { + @SuppressWarnings("deprecation") + com.google.cloud.automl.v1beta1.Document.Layout.TextSegmentType result = + com.google.cloud.automl.v1beta1.Document.Layout.TextSegmentType.valueOf( + textSegmentType_); + return result == null + ? com.google.cloud.automl.v1beta1.Document.Layout.TextSegmentType.UNRECOGNIZED + : result; + } + /** + * + * + * 
+       * The type of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in document.
+       *
+ * + * .google.cloud.automl.v1beta1.Document.Layout.TextSegmentType text_segment_type = 4; + * + * + * @param value The textSegmentType to set. + * @return This builder for chaining. + */ + public Builder setTextSegmentType( + com.google.cloud.automl.v1beta1.Document.Layout.TextSegmentType value) { + if (value == null) { + throw new NullPointerException(); + } + + textSegmentType_ = value.getNumber(); + onChanged(); + return this; + } + /** + * + * + * 
+       * The type of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in document.
+       *
+ * + * .google.cloud.automl.v1beta1.Document.Layout.TextSegmentType text_segment_type = 4; + * + * + * @return This builder for chaining. + */ + public Builder clearTextSegmentType() { + + textSegmentType_ = 0; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.Document.Layout) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.Document.Layout) + private static final com.google.cloud.automl.v1beta1.Document.Layout DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.Document.Layout(); + } + + public static com.google.cloud.automl.v1beta1.Document.Layout getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public Layout parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new Layout(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Document.Layout getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } + } + + public static final int INPUT_CONFIG_FIELD_NUMBER = 1; + private com.google.cloud.automl.v1beta1.DocumentInputConfig inputConfig_; + /** + * + * + * 
+   * An input config specifying the content of the document.
+   *
+ * + * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1; + * + * @return Whether the inputConfig field is set. + */ + public boolean hasInputConfig() { + return inputConfig_ != null; + } + /** + * + * + * 
+   * An input config specifying the content of the document.
+   *
+ * + * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1; + * + * @return The inputConfig. + */ + public com.google.cloud.automl.v1beta1.DocumentInputConfig getInputConfig() { + return inputConfig_ == null + ? com.google.cloud.automl.v1beta1.DocumentInputConfig.getDefaultInstance() + : inputConfig_; + } + /** + * + * + * 
+   * An input config specifying the content of the document.
+   *
+ * + * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1; + */ + public com.google.cloud.automl.v1beta1.DocumentInputConfigOrBuilder getInputConfigOrBuilder() { + return getInputConfig(); + } + + public static final int DOCUMENT_TEXT_FIELD_NUMBER = 2; + private com.google.cloud.automl.v1beta1.TextSnippet documentText_; + /** + * + * + * 
+   * The plain text version of this document.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSnippet document_text = 2; + * + * @return Whether the documentText field is set. + */ + public boolean hasDocumentText() { + return documentText_ != null; + } + /** + * + * + * 
+   * The plain text version of this document.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSnippet document_text = 2; + * + * @return The documentText. + */ + public com.google.cloud.automl.v1beta1.TextSnippet getDocumentText() { + return documentText_ == null + ? com.google.cloud.automl.v1beta1.TextSnippet.getDefaultInstance() + : documentText_; + } + /** + * + * + * 
+   * The plain text version of this document.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSnippet document_text = 2; + */ + public com.google.cloud.automl.v1beta1.TextSnippetOrBuilder getDocumentTextOrBuilder() { + return getDocumentText(); + } + + public static final int LAYOUT_FIELD_NUMBER = 3; + private java.util.List layout_; + /** + * + * + * 
+   * Describes the layout of the document.
+   * Sorted by [page_number][].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + public java.util.List getLayoutList() { + return layout_; + } + /** + * + * + * 
+   * Describes the layout of the document.
+   * Sorted by [page_number][].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + public java.util.List + getLayoutOrBuilderList() { + return layout_; + } + /** + * + * + * 
+   * Describes the layout of the document.
+   * Sorted by [page_number][].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + public int getLayoutCount() { + return layout_.size(); + } + /** + * + * + * 
+   * Describes the layout of the document.
+   * Sorted by [page_number][].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + public com.google.cloud.automl.v1beta1.Document.Layout getLayout(int index) { + return layout_.get(index); + } + /** + * + * + * 
+   * Describes the layout of the document.
+   * Sorted by [page_number][].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + public com.google.cloud.automl.v1beta1.Document.LayoutOrBuilder getLayoutOrBuilder(int index) { + return layout_.get(index); + } + + public static final int DOCUMENT_DIMENSIONS_FIELD_NUMBER = 4; + private com.google.cloud.automl.v1beta1.DocumentDimensions documentDimensions_; + /** + * + * + * 
+   * The dimensions of the page in the document.
+   *
+ * + * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4; + * + * @return Whether the documentDimensions field is set. + */ + public boolean hasDocumentDimensions() { + return documentDimensions_ != null; + } + /** + * + * + * 
+   * The dimensions of the page in the document.
+   *
+ * + * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4; + * + * @return The documentDimensions. + */ + public com.google.cloud.automl.v1beta1.DocumentDimensions getDocumentDimensions() { + return documentDimensions_ == null + ? com.google.cloud.automl.v1beta1.DocumentDimensions.getDefaultInstance() + : documentDimensions_; + } + /** + * + * + * 
+   * The dimensions of the page in the document.
+   *
+ * + * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4; + */ + public com.google.cloud.automl.v1beta1.DocumentDimensionsOrBuilder + getDocumentDimensionsOrBuilder() { + return getDocumentDimensions(); + } + + public static final int PAGE_COUNT_FIELD_NUMBER = 5; + private int pageCount_; + /** + * + * + * 
+   * Number of pages in the document.
+   *
+ * + * int32 page_count = 5; + * + * @return The pageCount. + */ + public int getPageCount() { + return pageCount_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (inputConfig_ != null) { + output.writeMessage(1, getInputConfig()); + } + if (documentText_ != null) { + output.writeMessage(2, getDocumentText()); + } + for (int i = 0; i < layout_.size(); i++) { + output.writeMessage(3, layout_.get(i)); + } + if (documentDimensions_ != null) { + output.writeMessage(4, getDocumentDimensions()); + } + if (pageCount_ != 0) { + output.writeInt32(5, pageCount_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (inputConfig_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getInputConfig()); + } + if (documentText_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getDocumentText()); + } + for (int i = 0; i < layout_.size(); i++) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, layout_.get(i)); + } + if (documentDimensions_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, getDocumentDimensions()); + } + if (pageCount_ != 0) { + size += com.google.protobuf.CodedOutputStream.computeInt32Size(5, pageCount_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.Document)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.Document other = (com.google.cloud.automl.v1beta1.Document) obj; + + if (hasInputConfig() != other.hasInputConfig()) return false; + if (hasInputConfig()) { + if (!getInputConfig().equals(other.getInputConfig())) return false; + } + if (hasDocumentText() != other.hasDocumentText()) return false; + if (hasDocumentText()) { + if (!getDocumentText().equals(other.getDocumentText())) return false; + } + if (!getLayoutList().equals(other.getLayoutList())) return false; + if (hasDocumentDimensions() != other.hasDocumentDimensions()) return false; + if (hasDocumentDimensions()) { + if (!getDocumentDimensions().equals(other.getDocumentDimensions())) return false; + } + if (getPageCount() != other.getPageCount()) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (hasInputConfig()) { + hash = (37 * hash) + INPUT_CONFIG_FIELD_NUMBER; + hash = (53 * hash) + getInputConfig().hashCode(); + } + if (hasDocumentText()) { + hash = (37 * hash) + DOCUMENT_TEXT_FIELD_NUMBER; + hash = (53 * hash) + getDocumentText().hashCode(); + } + if (getLayoutCount() > 0) { + hash = (37 * hash) + LAYOUT_FIELD_NUMBER; + hash = (53 * hash) + getLayoutList().hashCode(); + } + if (hasDocumentDimensions()) { + hash = (37 * hash) + DOCUMENT_DIMENSIONS_FIELD_NUMBER; + hash = (53 * hash) + getDocumentDimensions().hashCode(); + } + hash = (37 * hash) + PAGE_COUNT_FIELD_NUMBER; + hash = (53 * hash) + getPageCount(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.Document parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.Document parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Document parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.Document parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Document parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.Document parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Document parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.Document parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Document parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.Document parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Document parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.Document parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.Document prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * A structured text document e.g. a PDF.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.Document} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.Document) + com.google.cloud.automl.v1beta1.DocumentOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_Document_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_Document_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.Document.class, + com.google.cloud.automl.v1beta1.Document.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.Document.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getLayoutFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (inputConfigBuilder_ == null) { + inputConfig_ = null; + } else { + inputConfig_ = null; + inputConfigBuilder_ = null; + } + if (documentTextBuilder_ == null) { + documentText_ = null; + } else { + documentText_ = null; + documentTextBuilder_ = null; + } + if (layoutBuilder_ == null) { + layout_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + } else { + layoutBuilder_.clear(); + } + if (documentDimensionsBuilder_ == null) { + documentDimensions_ = null; + } else { + documentDimensions_ = null; + documentDimensionsBuilder_ = null; + } + pageCount_ = 0; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_Document_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Document getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.Document.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Document build() { + com.google.cloud.automl.v1beta1.Document result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Document buildPartial() { + com.google.cloud.automl.v1beta1.Document result = + new com.google.cloud.automl.v1beta1.Document(this); + int from_bitField0_ = bitField0_; + if (inputConfigBuilder_ == null) { + result.inputConfig_ = inputConfig_; + } else { + result.inputConfig_ = inputConfigBuilder_.build(); + } + if (documentTextBuilder_ == null) { + result.documentText_ = documentText_; + } else { + result.documentText_ = documentTextBuilder_.build(); + } + if (layoutBuilder_ == null) { + if (((bitField0_ & 0x00000001) != 0)) { + layout_ = java.util.Collections.unmodifiableList(layout_); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.layout_ = layout_; + } else { + result.layout_ = layoutBuilder_.build(); + } + if (documentDimensionsBuilder_ == null) { + result.documentDimensions_ = documentDimensions_; + } else { + result.documentDimensions_ = documentDimensionsBuilder_.build(); + } + result.pageCount_ = pageCount_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.Document) { + return mergeFrom((com.google.cloud.automl.v1beta1.Document) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.Document other) { + if (other == com.google.cloud.automl.v1beta1.Document.getDefaultInstance()) return this; + if (other.hasInputConfig()) { + mergeInputConfig(other.getInputConfig()); + } + if (other.hasDocumentText()) { + mergeDocumentText(other.getDocumentText()); + } + if (layoutBuilder_ == null) { + if (!other.layout_.isEmpty()) { + if (layout_.isEmpty()) { + layout_ = other.layout_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensureLayoutIsMutable(); + layout_.addAll(other.layout_); + } + onChanged(); + } + } else { + if (!other.layout_.isEmpty()) { + if (layoutBuilder_.isEmpty()) { + layoutBuilder_.dispose(); + layoutBuilder_ = null; + layout_ = other.layout_; + bitField0_ = (bitField0_ & ~0x00000001); + layoutBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getLayoutFieldBuilder() + : null; + } else { + layoutBuilder_.addAllMessages(other.layout_); + } + } + } + if (other.hasDocumentDimensions()) { + mergeDocumentDimensions(other.getDocumentDimensions()); + } + if (other.getPageCount() != 0) { + setPageCount(other.getPageCount()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.Document parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.Document) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private com.google.cloud.automl.v1beta1.DocumentInputConfig inputConfig_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DocumentInputConfig, + com.google.cloud.automl.v1beta1.DocumentInputConfig.Builder, + com.google.cloud.automl.v1beta1.DocumentInputConfigOrBuilder> + inputConfigBuilder_; + /** + * + * + * 
+     * An input config specifying the content of the document.
+     *
+ * + * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1; + * + * @return Whether the inputConfig field is set. + */ + public boolean hasInputConfig() { + return inputConfigBuilder_ != null || inputConfig_ != null; + } + /** + * + * + * 
+     * An input config specifying the content of the document.
+     *
+ * + * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1; + * + * @return The inputConfig. + */ + public com.google.cloud.automl.v1beta1.DocumentInputConfig getInputConfig() { + if (inputConfigBuilder_ == null) { + return inputConfig_ == null + ? com.google.cloud.automl.v1beta1.DocumentInputConfig.getDefaultInstance() + : inputConfig_; + } else { + return inputConfigBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * An input config specifying the content of the document.
+     *
+ * + * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1; + */ + public Builder setInputConfig(com.google.cloud.automl.v1beta1.DocumentInputConfig value) { + if (inputConfigBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + inputConfig_ = value; + onChanged(); + } else { + inputConfigBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * An input config specifying the content of the document.
+     *
+ * + * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1; + */ + public Builder setInputConfig( + com.google.cloud.automl.v1beta1.DocumentInputConfig.Builder builderForValue) { + if (inputConfigBuilder_ == null) { + inputConfig_ = builderForValue.build(); + onChanged(); + } else { + inputConfigBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * An input config specifying the content of the document.
+     *
+ * + * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1; + */ + public Builder mergeInputConfig(com.google.cloud.automl.v1beta1.DocumentInputConfig value) { + if (inputConfigBuilder_ == null) { + if (inputConfig_ != null) { + inputConfig_ = + com.google.cloud.automl.v1beta1.DocumentInputConfig.newBuilder(inputConfig_) + .mergeFrom(value) + .buildPartial(); + } else { + inputConfig_ = value; + } + onChanged(); + } else { + inputConfigBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * An input config specifying the content of the document.
+     *
+ * + * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1; + */ + public Builder clearInputConfig() { + if (inputConfigBuilder_ == null) { + inputConfig_ = null; + onChanged(); + } else { + inputConfig_ = null; + inputConfigBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * An input config specifying the content of the document.
+     *
+ * + * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1; + */ + public com.google.cloud.automl.v1beta1.DocumentInputConfig.Builder getInputConfigBuilder() { + + onChanged(); + return getInputConfigFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * An input config specifying the content of the document.
+     *
+ * + * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1; + */ + public com.google.cloud.automl.v1beta1.DocumentInputConfigOrBuilder getInputConfigOrBuilder() { + if (inputConfigBuilder_ != null) { + return inputConfigBuilder_.getMessageOrBuilder(); + } else { + return inputConfig_ == null + ? com.google.cloud.automl.v1beta1.DocumentInputConfig.getDefaultInstance() + : inputConfig_; + } + } + /** + * + * + * 
+     * An input config specifying the content of the document.
+     *
+ * + * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DocumentInputConfig, + com.google.cloud.automl.v1beta1.DocumentInputConfig.Builder, + com.google.cloud.automl.v1beta1.DocumentInputConfigOrBuilder> + getInputConfigFieldBuilder() { + if (inputConfigBuilder_ == null) { + inputConfigBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DocumentInputConfig, + com.google.cloud.automl.v1beta1.DocumentInputConfig.Builder, + com.google.cloud.automl.v1beta1.DocumentInputConfigOrBuilder>( + getInputConfig(), getParentForChildren(), isClean()); + inputConfig_ = null; + } + return inputConfigBuilder_; + } + + private com.google.cloud.automl.v1beta1.TextSnippet documentText_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSnippet, + com.google.cloud.automl.v1beta1.TextSnippet.Builder, + com.google.cloud.automl.v1beta1.TextSnippetOrBuilder> + documentTextBuilder_; + /** + * + * + * 
+     * The plain text version of this document.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSnippet document_text = 2; + * + * @return Whether the documentText field is set. + */ + public boolean hasDocumentText() { + return documentTextBuilder_ != null || documentText_ != null; + } + /** + * + * + * 
+     * The plain text version of this document.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSnippet document_text = 2; + * + * @return The documentText. + */ + public com.google.cloud.automl.v1beta1.TextSnippet getDocumentText() { + if (documentTextBuilder_ == null) { + return documentText_ == null + ? com.google.cloud.automl.v1beta1.TextSnippet.getDefaultInstance() + : documentText_; + } else { + return documentTextBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * The plain text version of this document.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSnippet document_text = 2; + */ + public Builder setDocumentText(com.google.cloud.automl.v1beta1.TextSnippet value) { + if (documentTextBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + documentText_ = value; + onChanged(); + } else { + documentTextBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * The plain text version of this document.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSnippet document_text = 2; + */ + public Builder setDocumentText( + com.google.cloud.automl.v1beta1.TextSnippet.Builder builderForValue) { + if (documentTextBuilder_ == null) { + documentText_ = builderForValue.build(); + onChanged(); + } else { + documentTextBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * The plain text version of this document.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSnippet document_text = 2; + */ + public Builder mergeDocumentText(com.google.cloud.automl.v1beta1.TextSnippet value) { + if (documentTextBuilder_ == null) { + if (documentText_ != null) { + documentText_ = + com.google.cloud.automl.v1beta1.TextSnippet.newBuilder(documentText_) + .mergeFrom(value) + .buildPartial(); + } else { + documentText_ = value; + } + onChanged(); + } else { + documentTextBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * The plain text version of this document.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSnippet document_text = 2; + */ + public Builder clearDocumentText() { + if (documentTextBuilder_ == null) { + documentText_ = null; + onChanged(); + } else { + documentText_ = null; + documentTextBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * The plain text version of this document.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSnippet document_text = 2; + */ + public com.google.cloud.automl.v1beta1.TextSnippet.Builder getDocumentTextBuilder() { + + onChanged(); + return getDocumentTextFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The plain text version of this document.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSnippet document_text = 2; + */ + public com.google.cloud.automl.v1beta1.TextSnippetOrBuilder getDocumentTextOrBuilder() { + if (documentTextBuilder_ != null) { + return documentTextBuilder_.getMessageOrBuilder(); + } else { + return documentText_ == null + ? com.google.cloud.automl.v1beta1.TextSnippet.getDefaultInstance() + : documentText_; + } + } + /** + * + * + * 
+     * The plain text version of this document.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSnippet document_text = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSnippet, + com.google.cloud.automl.v1beta1.TextSnippet.Builder, + com.google.cloud.automl.v1beta1.TextSnippetOrBuilder> + getDocumentTextFieldBuilder() { + if (documentTextBuilder_ == null) { + documentTextBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSnippet, + com.google.cloud.automl.v1beta1.TextSnippet.Builder, + com.google.cloud.automl.v1beta1.TextSnippetOrBuilder>( + getDocumentText(), getParentForChildren(), isClean()); + documentText_ = null; + } + return documentTextBuilder_; + } + + private java.util.List layout_ = + java.util.Collections.emptyList(); + + private void ensureLayoutIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + layout_ = new java.util.ArrayList(layout_); + bitField0_ |= 0x00000001; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.Document.Layout, + com.google.cloud.automl.v1beta1.Document.Layout.Builder, + com.google.cloud.automl.v1beta1.Document.LayoutOrBuilder> + layoutBuilder_; + + /** + * + * + * 
+     * Describes the layout of the document.
+     * Sorted by [page_number][].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + public java.util.List getLayoutList() { + if (layoutBuilder_ == null) { + return java.util.Collections.unmodifiableList(layout_); + } else { + return layoutBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * Describes the layout of the document.
+     * Sorted by [page_number][].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + public int getLayoutCount() { + if (layoutBuilder_ == null) { + return layout_.size(); + } else { + return layoutBuilder_.getCount(); + } + } + /** + * + * + * 
+     * Describes the layout of the document.
+     * Sorted by [page_number][].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + public com.google.cloud.automl.v1beta1.Document.Layout getLayout(int index) { + if (layoutBuilder_ == null) { + return layout_.get(index); + } else { + return layoutBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * Describes the layout of the document.
+     * Sorted by [page_number][].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + public Builder setLayout(int index, com.google.cloud.automl.v1beta1.Document.Layout value) { + if (layoutBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureLayoutIsMutable(); + layout_.set(index, value); + onChanged(); + } else { + layoutBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Describes the layout of the document.
+     * Sorted by [page_number][].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + public Builder setLayout( + int index, com.google.cloud.automl.v1beta1.Document.Layout.Builder builderForValue) { + if (layoutBuilder_ == null) { + ensureLayoutIsMutable(); + layout_.set(index, builderForValue.build()); + onChanged(); + } else { + layoutBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Describes the layout of the document.
+     * Sorted by [page_number][].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + public Builder addLayout(com.google.cloud.automl.v1beta1.Document.Layout value) { + if (layoutBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureLayoutIsMutable(); + layout_.add(value); + onChanged(); + } else { + layoutBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * Describes the layout of the document.
+     * Sorted by [page_number][].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + public Builder addLayout(int index, com.google.cloud.automl.v1beta1.Document.Layout value) { + if (layoutBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureLayoutIsMutable(); + layout_.add(index, value); + onChanged(); + } else { + layoutBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Describes the layout of the document.
+     * Sorted by [page_number][].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + public Builder addLayout( + com.google.cloud.automl.v1beta1.Document.Layout.Builder builderForValue) { + if (layoutBuilder_ == null) { + ensureLayoutIsMutable(); + layout_.add(builderForValue.build()); + onChanged(); + } else { + layoutBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Describes the layout of the document.
+     * Sorted by [page_number][].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + public Builder addLayout( + int index, com.google.cloud.automl.v1beta1.Document.Layout.Builder builderForValue) { + if (layoutBuilder_ == null) { + ensureLayoutIsMutable(); + layout_.add(index, builderForValue.build()); + onChanged(); + } else { + layoutBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Describes the layout of the document.
+     * Sorted by [page_number][].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + public Builder addAllLayout( + java.lang.Iterable values) { + if (layoutBuilder_ == null) { + ensureLayoutIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, layout_); + onChanged(); + } else { + layoutBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * Describes the layout of the document.
+     * Sorted by [page_number][].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + public Builder clearLayout() { + if (layoutBuilder_ == null) { + layout_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + } else { + layoutBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Describes the layout of the document.
+     * Sorted by [page_number][].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + public Builder removeLayout(int index) { + if (layoutBuilder_ == null) { + ensureLayoutIsMutable(); + layout_.remove(index); + onChanged(); + } else { + layoutBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * Describes the layout of the document.
+     * Sorted by [page_number][].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + public com.google.cloud.automl.v1beta1.Document.Layout.Builder getLayoutBuilder(int index) { + return getLayoutFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * Describes the layout of the document.
+     * Sorted by [page_number][].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + public com.google.cloud.automl.v1beta1.Document.LayoutOrBuilder getLayoutOrBuilder(int index) { + if (layoutBuilder_ == null) { + return layout_.get(index); + } else { + return layoutBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * Describes the layout of the document.
+     * Sorted by [page_number][].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + public java.util.List + getLayoutOrBuilderList() { + if (layoutBuilder_ != null) { + return layoutBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(layout_); + } + } + /** + * + * + * 
+     * Describes the layout of the document.
+     * Sorted by [page_number][].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + public com.google.cloud.automl.v1beta1.Document.Layout.Builder addLayoutBuilder() { + return getLayoutFieldBuilder() + .addBuilder(com.google.cloud.automl.v1beta1.Document.Layout.getDefaultInstance()); + } + /** + * + * + * 
+     * Describes the layout of the document.
+     * Sorted by [page_number][].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + public com.google.cloud.automl.v1beta1.Document.Layout.Builder addLayoutBuilder(int index) { + return getLayoutFieldBuilder() + .addBuilder(index, com.google.cloud.automl.v1beta1.Document.Layout.getDefaultInstance()); + } + /** + * + * + * 
+     * Describes the layout of the document.
+     * Sorted by [page_number][].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + public java.util.List + getLayoutBuilderList() { + return getLayoutFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.Document.Layout, + com.google.cloud.automl.v1beta1.Document.Layout.Builder, + com.google.cloud.automl.v1beta1.Document.LayoutOrBuilder> + getLayoutFieldBuilder() { + if (layoutBuilder_ == null) { + layoutBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.Document.Layout, + com.google.cloud.automl.v1beta1.Document.Layout.Builder, + com.google.cloud.automl.v1beta1.Document.LayoutOrBuilder>( + layout_, ((bitField0_ & 0x00000001) != 0), getParentForChildren(), isClean()); + layout_ = null; + } + return layoutBuilder_; + } + + private com.google.cloud.automl.v1beta1.DocumentDimensions documentDimensions_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DocumentDimensions, + com.google.cloud.automl.v1beta1.DocumentDimensions.Builder, + com.google.cloud.automl.v1beta1.DocumentDimensionsOrBuilder> + documentDimensionsBuilder_; + /** + * + * + * 
+     * The dimensions of the page in the document.
+     *
+ * + * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4; + * + * @return Whether the documentDimensions field is set. + */ + public boolean hasDocumentDimensions() { + return documentDimensionsBuilder_ != null || documentDimensions_ != null; + } + /** + * + * + * 
+     * The dimensions of the page in the document.
+     *
+ * + * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4; + * + * @return The documentDimensions. + */ + public com.google.cloud.automl.v1beta1.DocumentDimensions getDocumentDimensions() { + if (documentDimensionsBuilder_ == null) { + return documentDimensions_ == null + ? com.google.cloud.automl.v1beta1.DocumentDimensions.getDefaultInstance() + : documentDimensions_; + } else { + return documentDimensionsBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * The dimensions of the page in the document.
+     *
+ * + * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4; + */ + public Builder setDocumentDimensions(com.google.cloud.automl.v1beta1.DocumentDimensions value) { + if (documentDimensionsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + documentDimensions_ = value; + onChanged(); + } else { + documentDimensionsBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * The dimensions of the page in the document.
+     *
+ * + * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4; + */ + public Builder setDocumentDimensions( + com.google.cloud.automl.v1beta1.DocumentDimensions.Builder builderForValue) { + if (documentDimensionsBuilder_ == null) { + documentDimensions_ = builderForValue.build(); + onChanged(); + } else { + documentDimensionsBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * The dimensions of the page in the document.
+     *
+ * + * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4; + */ + public Builder mergeDocumentDimensions( + com.google.cloud.automl.v1beta1.DocumentDimensions value) { + if (documentDimensionsBuilder_ == null) { + if (documentDimensions_ != null) { + documentDimensions_ = + com.google.cloud.automl.v1beta1.DocumentDimensions.newBuilder(documentDimensions_) + .mergeFrom(value) + .buildPartial(); + } else { + documentDimensions_ = value; + } + onChanged(); + } else { + documentDimensionsBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * The dimensions of the page in the document.
+     *
+ * + * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4; + */ + public Builder clearDocumentDimensions() { + if (documentDimensionsBuilder_ == null) { + documentDimensions_ = null; + onChanged(); + } else { + documentDimensions_ = null; + documentDimensionsBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * The dimensions of the page in the document.
+     *
+ * + * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4; + */ + public com.google.cloud.automl.v1beta1.DocumentDimensions.Builder + getDocumentDimensionsBuilder() { + + onChanged(); + return getDocumentDimensionsFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The dimensions of the page in the document.
+     *
+ * + * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4; + */ + public com.google.cloud.automl.v1beta1.DocumentDimensionsOrBuilder + getDocumentDimensionsOrBuilder() { + if (documentDimensionsBuilder_ != null) { + return documentDimensionsBuilder_.getMessageOrBuilder(); + } else { + return documentDimensions_ == null + ? com.google.cloud.automl.v1beta1.DocumentDimensions.getDefaultInstance() + : documentDimensions_; + } + } + /** + * + * + * 
+     * The dimensions of the page in the document.
+     *
+ * + * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DocumentDimensions, + com.google.cloud.automl.v1beta1.DocumentDimensions.Builder, + com.google.cloud.automl.v1beta1.DocumentDimensionsOrBuilder> + getDocumentDimensionsFieldBuilder() { + if (documentDimensionsBuilder_ == null) { + documentDimensionsBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DocumentDimensions, + com.google.cloud.automl.v1beta1.DocumentDimensions.Builder, + com.google.cloud.automl.v1beta1.DocumentDimensionsOrBuilder>( + getDocumentDimensions(), getParentForChildren(), isClean()); + documentDimensions_ = null; + } + return documentDimensionsBuilder_; + } + + private int pageCount_; + /** + * + * + * 
+     * Number of pages in the document.
+     *
+ * + * int32 page_count = 5; + * + * @return The pageCount. + */ + public int getPageCount() { + return pageCount_; + } + /** + * + * + * 
+     * Number of pages in the document.
+     *
+ * + * int32 page_count = 5; + * + * @param value The pageCount to set. + * @return This builder for chaining. + */ + public Builder setPageCount(int value) { + + pageCount_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Number of pages in the document.
+     *
+ * + * int32 page_count = 5; + * + * @return This builder for chaining. + */ + public Builder clearPageCount() { + + pageCount_ = 0; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.Document) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.Document) + private static final com.google.cloud.automl.v1beta1.Document DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.Document(); + } + + public static com.google.cloud.automl.v1beta1.Document getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public Document parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new Document(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Document getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentDimensions.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentDimensions.java new file mode 100644 index 000000000..4596fa055 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentDimensions.java @@ -0,0 +1,971 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_items.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Message that describes dimension of a document.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.DocumentDimensions} + */ +public final class DocumentDimensions extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.DocumentDimensions) + DocumentDimensionsOrBuilder { + private static final long serialVersionUID = 0L; + // Use DocumentDimensions.newBuilder() to construct. + private DocumentDimensions(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private DocumentDimensions() { + unit_ = 0; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new DocumentDimensions(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private DocumentDimensions( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 8: + { + int rawValue = input.readEnum(); + + unit_ = rawValue; + break; + } + case 21: + { + width_ = input.readFloat(); + break; + } + case 29: + { + height_ = input.readFloat(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_DocumentDimensions_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_DocumentDimensions_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.DocumentDimensions.class, + com.google.cloud.automl.v1beta1.DocumentDimensions.Builder.class); + } + + /** + * + * + * 
+   * Unit of the document dimension.
+   *
+ * + * Protobuf enum {@code google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit} + */ + public enum DocumentDimensionUnit implements com.google.protobuf.ProtocolMessageEnum { + /** + * + * + * 
+     * Should not be used.
+     *
+ * + * DOCUMENT_DIMENSION_UNIT_UNSPECIFIED = 0; + */ + DOCUMENT_DIMENSION_UNIT_UNSPECIFIED(0), + /** + * + * + * 
+     * Document dimension is measured in inches.
+     *
+ * + * INCH = 1; + */ + INCH(1), + /** + * + * + * 
+     * Document dimension is measured in centimeters.
+     *
+ * + * CENTIMETER = 2; + */ + CENTIMETER(2), + /** + * + * + * 
+     * Document dimension is measured in points. 72 points = 1 inch.
+     *
+ * + * POINT = 3; + */ + POINT(3), + UNRECOGNIZED(-1), + ; + + /** + * + * + * 
+     * Should not be used.
+     *
+ * + * DOCUMENT_DIMENSION_UNIT_UNSPECIFIED = 0; + */ + public static final int DOCUMENT_DIMENSION_UNIT_UNSPECIFIED_VALUE = 0; + /** + * + * + * 
+     * Document dimension is measured in inches.
+     *
+ * + * INCH = 1; + */ + public static final int INCH_VALUE = 1; + /** + * + * + * 
+     * Document dimension is measured in centimeters.
+     *
+ * + * CENTIMETER = 2; + */ + public static final int CENTIMETER_VALUE = 2; + /** + * + * + * 
+     * Document dimension is measured in points. 72 points = 1 inch.
+     *
+ * + * POINT = 3; + */ + public static final int POINT_VALUE = 3; + + public final int getNumber() { + if (this == UNRECOGNIZED) { + throw new java.lang.IllegalArgumentException( + "Can't get the number of an unknown enum value."); + } + return value; + } + + /** + * @param value The numeric wire value of the corresponding enum entry. + * @return The enum associated with the given numeric wire value. + * @deprecated Use {@link #forNumber(int)} instead. + */ + @java.lang.Deprecated + public static DocumentDimensionUnit valueOf(int value) { + return forNumber(value); + } + + /** + * @param value The numeric wire value of the corresponding enum entry. + * @return The enum associated with the given numeric wire value. + */ + public static DocumentDimensionUnit forNumber(int value) { + switch (value) { + case 0: + return DOCUMENT_DIMENSION_UNIT_UNSPECIFIED; + case 1: + return INCH; + case 2: + return CENTIMETER; + case 3: + return POINT; + default: + return null; + } + } + + public static com.google.protobuf.Internal.EnumLiteMap + internalGetValueMap() { + return internalValueMap; + } + + private static final com.google.protobuf.Internal.EnumLiteMap + internalValueMap = + new com.google.protobuf.Internal.EnumLiteMap() { + public DocumentDimensionUnit findValueByNumber(int number) { + return DocumentDimensionUnit.forNumber(number); + } + }; + + public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() { + return getDescriptor().getValues().get(ordinal()); + } + + public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() { + return getDescriptor(); + } + + public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DocumentDimensions.getDescriptor() + .getEnumTypes() + .get(0); + } + + private static final DocumentDimensionUnit[] VALUES = values(); + + public static DocumentDimensionUnit valueOf( + com.google.protobuf.Descriptors.EnumValueDescriptor desc) { + if (desc.getType() != getDescriptor()) { + throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type."); + } + if (desc.getIndex() == -1) { + return UNRECOGNIZED; + } + return VALUES[desc.getIndex()]; + } + + private final int value; + + private DocumentDimensionUnit(int value) { + this.value = value; + } + + // @@protoc_insertion_point(enum_scope:google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit) + } + + public static final int UNIT_FIELD_NUMBER = 1; + private int unit_; + /** + * + * + * 
+   * Unit of the dimension.
+   *
+ * + * .google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit unit = 1; + * + * @return The enum numeric value on the wire for unit. + */ + public int getUnitValue() { + return unit_; + } + /** + * + * + * 
+   * Unit of the dimension.
+   *
+ * + * .google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit unit = 1; + * + * @return The unit. + */ + public com.google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit getUnit() { + @SuppressWarnings("deprecation") + com.google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit result = + com.google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit.valueOf(unit_); + return result == null + ? com.google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit.UNRECOGNIZED + : result; + } + + public static final int WIDTH_FIELD_NUMBER = 2; + private float width_; + /** + * + * + * 
+   * Width value of the document, works together with the unit.
+   *
+ * + * float width = 2; + * + * @return The width. + */ + public float getWidth() { + return width_; + } + + public static final int HEIGHT_FIELD_NUMBER = 3; + private float height_; + /** + * + * + * 
+   * Height value of the document, works together with the unit.
+   *
+ * + * float height = 3; + * + * @return The height. + */ + public float getHeight() { + return height_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (unit_ + != com.google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit + .DOCUMENT_DIMENSION_UNIT_UNSPECIFIED + .getNumber()) { + output.writeEnum(1, unit_); + } + if (width_ != 0F) { + output.writeFloat(2, width_); + } + if (height_ != 0F) { + output.writeFloat(3, height_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (unit_ + != com.google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit + .DOCUMENT_DIMENSION_UNIT_UNSPECIFIED + .getNumber()) { + size += com.google.protobuf.CodedOutputStream.computeEnumSize(1, unit_); + } + if (width_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(2, width_); + } + if (height_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(3, height_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.DocumentDimensions)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.DocumentDimensions other = + (com.google.cloud.automl.v1beta1.DocumentDimensions) obj; + + if (unit_ != other.unit_) return false; + if (java.lang.Float.floatToIntBits(getWidth()) + != java.lang.Float.floatToIntBits(other.getWidth())) return false; + if (java.lang.Float.floatToIntBits(getHeight()) + != java.lang.Float.floatToIntBits(other.getHeight())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + UNIT_FIELD_NUMBER; + hash = (53 * hash) + unit_; + hash = (37 * hash) + WIDTH_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getWidth()); + hash = (37 * hash) + HEIGHT_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getHeight()); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.DocumentDimensions parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DocumentDimensions parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DocumentDimensions parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DocumentDimensions parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DocumentDimensions parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DocumentDimensions parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DocumentDimensions parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DocumentDimensions parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DocumentDimensions parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DocumentDimensions parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DocumentDimensions parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DocumentDimensions parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.DocumentDimensions prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Message that describes dimension of a document.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.DocumentDimensions} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.DocumentDimensions) + com.google.cloud.automl.v1beta1.DocumentDimensionsOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_DocumentDimensions_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_DocumentDimensions_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.DocumentDimensions.class, + com.google.cloud.automl.v1beta1.DocumentDimensions.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.DocumentDimensions.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + unit_ = 0; + + width_ = 0F; + + height_ = 0F; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_DocumentDimensions_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DocumentDimensions getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.DocumentDimensions.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DocumentDimensions build() { + com.google.cloud.automl.v1beta1.DocumentDimensions result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DocumentDimensions buildPartial() { + com.google.cloud.automl.v1beta1.DocumentDimensions result = + new com.google.cloud.automl.v1beta1.DocumentDimensions(this); + result.unit_ = unit_; + result.width_ = width_; + result.height_ = height_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.DocumentDimensions) { + return mergeFrom((com.google.cloud.automl.v1beta1.DocumentDimensions) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.DocumentDimensions other) { + if (other == com.google.cloud.automl.v1beta1.DocumentDimensions.getDefaultInstance()) + return this; + if (other.unit_ != 0) { + setUnitValue(other.getUnitValue()); + } + if (other.getWidth() != 0F) { + setWidth(other.getWidth()); + } + if (other.getHeight() != 0F) { + setHeight(other.getHeight()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.DocumentDimensions parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.DocumentDimensions) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int unit_ = 0; + /** + * + * + * 
+     * Unit of the dimension.
+     *
+ * + * .google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit unit = 1; + * + * @return The enum numeric value on the wire for unit. + */ + public int getUnitValue() { + return unit_; + } + /** + * + * + * 
+     * Unit of the dimension.
+     *
+ * + * .google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit unit = 1; + * + * @param value The enum numeric value on the wire for unit to set. + * @return This builder for chaining. + */ + public Builder setUnitValue(int value) { + unit_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Unit of the dimension.
+     *
+ * + * .google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit unit = 1; + * + * @return The unit. + */ + public com.google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit getUnit() { + @SuppressWarnings("deprecation") + com.google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit result = + com.google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit.valueOf(unit_); + return result == null + ? com.google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit.UNRECOGNIZED + : result; + } + /** + * + * + * 
+     * Unit of the dimension.
+     *
+ * + * .google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit unit = 1; + * + * @param value The unit to set. + * @return This builder for chaining. + */ + public Builder setUnit( + com.google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit value) { + if (value == null) { + throw new NullPointerException(); + } + + unit_ = value.getNumber(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Unit of the dimension.
+     *
+ * + * .google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit unit = 1; + * + * @return This builder for chaining. + */ + public Builder clearUnit() { + + unit_ = 0; + onChanged(); + return this; + } + + private float width_; + /** + * + * + * 
+     * Width value of the document, works together with the unit.
+     *
+ * + * float width = 2; + * + * @return The width. + */ + public float getWidth() { + return width_; + } + /** + * + * + * 
+     * Width value of the document, works together with the unit.
+     *
+ * + * float width = 2; + * + * @param value The width to set. + * @return This builder for chaining. + */ + public Builder setWidth(float value) { + + width_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Width value of the document, works together with the unit.
+     *
+ * + * float width = 2; + * + * @return This builder for chaining. + */ + public Builder clearWidth() { + + width_ = 0F; + onChanged(); + return this; + } + + private float height_; + /** + * + * + * 
+     * Height value of the document, works together with the unit.
+     *
+ * + * float height = 3; + * + * @return The height. + */ + public float getHeight() { + return height_; + } + /** + * + * + * 
+     * Height value of the document, works together with the unit.
+     *
+ * + * float height = 3; + * + * @param value The height to set. + * @return This builder for chaining. + */ + public Builder setHeight(float value) { + + height_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Height value of the document, works together with the unit.
+     *
+ * + * float height = 3; + * + * @return This builder for chaining. + */ + public Builder clearHeight() { + + height_ = 0F; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.DocumentDimensions) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.DocumentDimensions) + private static final com.google.cloud.automl.v1beta1.DocumentDimensions DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.DocumentDimensions(); + } + + public static com.google.cloud.automl.v1beta1.DocumentDimensions getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public DocumentDimensions parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new DocumentDimensions(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DocumentDimensions getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentDimensionsOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentDimensionsOrBuilder.java new file mode 100644 index 000000000..a243f1d18 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentDimensionsOrBuilder.java @@ -0,0 +1,76 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_items.proto + +package com.google.cloud.automl.v1beta1; + +public interface DocumentDimensionsOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.DocumentDimensions) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Unit of the dimension.
+   *
+ * + * .google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit unit = 1; + * + * @return The enum numeric value on the wire for unit. + */ + int getUnitValue(); + /** + * + * + * 
+   * Unit of the dimension.
+   *
+ * + * .google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit unit = 1; + * + * @return The unit. + */ + com.google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit getUnit(); + + /** + * + * + * 
+   * Width value of the document, works together with the unit.
+   *
+ * + * float width = 2; + * + * @return The width. + */ + float getWidth(); + + /** + * + * + * 
+   * Height value of the document, works together with the unit.
+   *
+ * + * float height = 3; + * + * @return The height. + */ + float getHeight(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentInputConfig.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentInputConfig.java new file mode 100644 index 000000000..07fc91fd6 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentInputConfig.java @@ -0,0 +1,766 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/io.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Input configuration of a [Document][google.cloud.automl.v1beta1.Document].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.DocumentInputConfig} + */ +public final class DocumentInputConfig extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.DocumentInputConfig) + DocumentInputConfigOrBuilder { + private static final long serialVersionUID = 0L; + // Use DocumentInputConfig.newBuilder() to construct. + private DocumentInputConfig(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private DocumentInputConfig() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new DocumentInputConfig(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private DocumentInputConfig( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + com.google.cloud.automl.v1beta1.GcsSource.Builder subBuilder = null; + if (gcsSource_ != null) { + subBuilder = gcsSource_.toBuilder(); + } + gcsSource_ = + input.readMessage( + com.google.cloud.automl.v1beta1.GcsSource.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(gcsSource_); + gcsSource_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_DocumentInputConfig_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_DocumentInputConfig_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.DocumentInputConfig.class, + com.google.cloud.automl.v1beta1.DocumentInputConfig.Builder.class); + } + + public static final int GCS_SOURCE_FIELD_NUMBER = 1; + private com.google.cloud.automl.v1beta1.GcsSource gcsSource_; + /** + * + * + * 
+   * The Google Cloud Storage location of the document file. Only a single path
+   * should be given.
+   * Max supported size: 512MB.
+   * Supported extensions: .PDF.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + * + * @return Whether the gcsSource field is set. + */ + public boolean hasGcsSource() { + return gcsSource_ != null; + } + /** + * + * + * 
+   * The Google Cloud Storage location of the document file. Only a single path
+   * should be given.
+   * Max supported size: 512MB.
+   * Supported extensions: .PDF.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + * + * @return The gcsSource. + */ + public com.google.cloud.automl.v1beta1.GcsSource getGcsSource() { + return gcsSource_ == null + ? com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance() + : gcsSource_; + } + /** + * + * + * 
+   * The Google Cloud Storage location of the document file. Only a single path
+   * should be given.
+   * Max supported size: 512MB.
+   * Supported extensions: .PDF.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + */ + public com.google.cloud.automl.v1beta1.GcsSourceOrBuilder getGcsSourceOrBuilder() { + return getGcsSource(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (gcsSource_ != null) { + output.writeMessage(1, getGcsSource()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (gcsSource_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getGcsSource()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.DocumentInputConfig)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.DocumentInputConfig other = + (com.google.cloud.automl.v1beta1.DocumentInputConfig) obj; + + if (hasGcsSource() != other.hasGcsSource()) return false; + if (hasGcsSource()) { + if (!getGcsSource().equals(other.getGcsSource())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (hasGcsSource()) { + hash = (37 * hash) + GCS_SOURCE_FIELD_NUMBER; + hash = (53 * hash) + getGcsSource().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.DocumentInputConfig parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DocumentInputConfig parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DocumentInputConfig parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DocumentInputConfig parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DocumentInputConfig parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DocumentInputConfig parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DocumentInputConfig parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DocumentInputConfig parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DocumentInputConfig parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DocumentInputConfig parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DocumentInputConfig parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DocumentInputConfig parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.DocumentInputConfig prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Input configuration of a [Document][google.cloud.automl.v1beta1.Document].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.DocumentInputConfig} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.DocumentInputConfig) + com.google.cloud.automl.v1beta1.DocumentInputConfigOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_DocumentInputConfig_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_DocumentInputConfig_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.DocumentInputConfig.class, + com.google.cloud.automl.v1beta1.DocumentInputConfig.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.DocumentInputConfig.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (gcsSourceBuilder_ == null) { + gcsSource_ = null; + } else { + gcsSource_ = null; + gcsSourceBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_DocumentInputConfig_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DocumentInputConfig getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.DocumentInputConfig.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DocumentInputConfig build() { + com.google.cloud.automl.v1beta1.DocumentInputConfig result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DocumentInputConfig buildPartial() { + com.google.cloud.automl.v1beta1.DocumentInputConfig result = + new com.google.cloud.automl.v1beta1.DocumentInputConfig(this); + if (gcsSourceBuilder_ == null) { + result.gcsSource_ = gcsSource_; + } else { + result.gcsSource_ = gcsSourceBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.DocumentInputConfig) { + return mergeFrom((com.google.cloud.automl.v1beta1.DocumentInputConfig) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.DocumentInputConfig other) { + if (other == com.google.cloud.automl.v1beta1.DocumentInputConfig.getDefaultInstance()) + return this; + if (other.hasGcsSource()) { + mergeGcsSource(other.getGcsSource()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.DocumentInputConfig parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.DocumentInputConfig) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private com.google.cloud.automl.v1beta1.GcsSource gcsSource_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.GcsSource, + com.google.cloud.automl.v1beta1.GcsSource.Builder, + com.google.cloud.automl.v1beta1.GcsSourceOrBuilder> + gcsSourceBuilder_; + /** + * + * + * 
+     * The Google Cloud Storage location of the document file. Only a single path
+     * should be given.
+     * Max supported size: 512MB.
+     * Supported extensions: .PDF.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + * + * @return Whether the gcsSource field is set. + */ + public boolean hasGcsSource() { + return gcsSourceBuilder_ != null || gcsSource_ != null; + } + /** + * + * + * 
+     * The Google Cloud Storage location of the document file. Only a single path
+     * should be given.
+     * Max supported size: 512MB.
+     * Supported extensions: .PDF.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + * + * @return The gcsSource. + */ + public com.google.cloud.automl.v1beta1.GcsSource getGcsSource() { + if (gcsSourceBuilder_ == null) { + return gcsSource_ == null + ? com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance() + : gcsSource_; + } else { + return gcsSourceBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * The Google Cloud Storage location of the document file. Only a single path
+     * should be given.
+     * Max supported size: 512MB.
+     * Supported extensions: .PDF.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + */ + public Builder setGcsSource(com.google.cloud.automl.v1beta1.GcsSource value) { + if (gcsSourceBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + gcsSource_ = value; + onChanged(); + } else { + gcsSourceBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * The Google Cloud Storage location of the document file. Only a single path
+     * should be given.
+     * Max supported size: 512MB.
+     * Supported extensions: .PDF.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + */ + public Builder setGcsSource(com.google.cloud.automl.v1beta1.GcsSource.Builder builderForValue) { + if (gcsSourceBuilder_ == null) { + gcsSource_ = builderForValue.build(); + onChanged(); + } else { + gcsSourceBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * The Google Cloud Storage location of the document file. Only a single path
+     * should be given.
+     * Max supported size: 512MB.
+     * Supported extensions: .PDF.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + */ + public Builder mergeGcsSource(com.google.cloud.automl.v1beta1.GcsSource value) { + if (gcsSourceBuilder_ == null) { + if (gcsSource_ != null) { + gcsSource_ = + com.google.cloud.automl.v1beta1.GcsSource.newBuilder(gcsSource_) + .mergeFrom(value) + .buildPartial(); + } else { + gcsSource_ = value; + } + onChanged(); + } else { + gcsSourceBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * The Google Cloud Storage location of the document file. Only a single path
+     * should be given.
+     * Max supported size: 512MB.
+     * Supported extensions: .PDF.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + */ + public Builder clearGcsSource() { + if (gcsSourceBuilder_ == null) { + gcsSource_ = null; + onChanged(); + } else { + gcsSource_ = null; + gcsSourceBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * The Google Cloud Storage location of the document file. Only a single path
+     * should be given.
+     * Max supported size: 512MB.
+     * Supported extensions: .PDF.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + */ + public com.google.cloud.automl.v1beta1.GcsSource.Builder getGcsSourceBuilder() { + + onChanged(); + return getGcsSourceFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The Google Cloud Storage location of the document file. Only a single path
+     * should be given.
+     * Max supported size: 512MB.
+     * Supported extensions: .PDF.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + */ + public com.google.cloud.automl.v1beta1.GcsSourceOrBuilder getGcsSourceOrBuilder() { + if (gcsSourceBuilder_ != null) { + return gcsSourceBuilder_.getMessageOrBuilder(); + } else { + return gcsSource_ == null + ? com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance() + : gcsSource_; + } + } + /** + * + * + * 
+     * The Google Cloud Storage location of the document file. Only a single path
+     * should be given.
+     * Max supported size: 512MB.
+     * Supported extensions: .PDF.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.GcsSource, + com.google.cloud.automl.v1beta1.GcsSource.Builder, + com.google.cloud.automl.v1beta1.GcsSourceOrBuilder> + getGcsSourceFieldBuilder() { + if (gcsSourceBuilder_ == null) { + gcsSourceBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.GcsSource, + com.google.cloud.automl.v1beta1.GcsSource.Builder, + com.google.cloud.automl.v1beta1.GcsSourceOrBuilder>( + getGcsSource(), getParentForChildren(), isClean()); + gcsSource_ = null; + } + return gcsSourceBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.DocumentInputConfig) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.DocumentInputConfig) + private static final com.google.cloud.automl.v1beta1.DocumentInputConfig DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.DocumentInputConfig(); + } + + public static com.google.cloud.automl.v1beta1.DocumentInputConfig getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public DocumentInputConfig parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new DocumentInputConfig(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DocumentInputConfig getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentInputConfigOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentInputConfigOrBuilder.java new file mode 100644 index 000000000..54506b2a7 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentInputConfigOrBuilder.java @@ -0,0 +1,69 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/io.proto + +package com.google.cloud.automl.v1beta1; + +public interface DocumentInputConfigOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.DocumentInputConfig) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * The Google Cloud Storage location of the document file. Only a single path
+   * should be given.
+   * Max supported size: 512MB.
+   * Supported extensions: .PDF.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + * + * @return Whether the gcsSource field is set. + */ + boolean hasGcsSource(); + /** + * + * + * 
+   * The Google Cloud Storage location of the document file. Only a single path
+   * should be given.
+   * Max supported size: 512MB.
+   * Supported extensions: .PDF.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + * + * @return The gcsSource. + */ + com.google.cloud.automl.v1beta1.GcsSource getGcsSource(); + /** + * + * + * 
+   * The Google Cloud Storage location of the document file. Only a single path
+   * should be given.
+   * Max supported size: 512MB.
+   * Supported extensions: .PDF.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + */ + com.google.cloud.automl.v1beta1.GcsSourceOrBuilder getGcsSourceOrBuilder(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentOrBuilder.java new file mode 100644 index 000000000..db8d216e7 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentOrBuilder.java @@ -0,0 +1,200 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_items.proto + +package com.google.cloud.automl.v1beta1; + +public interface DocumentOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.Document) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * An input config specifying the content of the document.
+   *
+ * + * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1; + * + * @return Whether the inputConfig field is set. + */ + boolean hasInputConfig(); + /** + * + * + * 
+   * An input config specifying the content of the document.
+   *
+ * + * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1; + * + * @return The inputConfig. + */ + com.google.cloud.automl.v1beta1.DocumentInputConfig getInputConfig(); + /** + * + * + * 
+   * An input config specifying the content of the document.
+   *
+ * + * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1; + */ + com.google.cloud.automl.v1beta1.DocumentInputConfigOrBuilder getInputConfigOrBuilder(); + + /** + * + * + * 
+   * The plain text version of this document.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSnippet document_text = 2; + * + * @return Whether the documentText field is set. + */ + boolean hasDocumentText(); + /** + * + * + * 
+   * The plain text version of this document.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSnippet document_text = 2; + * + * @return The documentText. + */ + com.google.cloud.automl.v1beta1.TextSnippet getDocumentText(); + /** + * + * + * 
+   * The plain text version of this document.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSnippet document_text = 2; + */ + com.google.cloud.automl.v1beta1.TextSnippetOrBuilder getDocumentTextOrBuilder(); + + /** + * + * + * 
+   * Describes the layout of the document.
+   * Sorted by [page_number][].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + java.util.List getLayoutList(); + /** + * + * + * 
+   * Describes the layout of the document.
+   * Sorted by [page_number][].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + com.google.cloud.automl.v1beta1.Document.Layout getLayout(int index); + /** + * + * + * 
+   * Describes the layout of the document.
+   * Sorted by [page_number][].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + int getLayoutCount(); + /** + * + * + * 
+   * Describes the layout of the document.
+   * Sorted by [page_number][].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + java.util.List + getLayoutOrBuilderList(); + /** + * + * + * 
+   * Describes the layout of the document.
+   * Sorted by [page_number][].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3; + */ + com.google.cloud.automl.v1beta1.Document.LayoutOrBuilder getLayoutOrBuilder(int index); + + /** + * + * + * 
+   * The dimensions of the page in the document.
+   *
+ * + * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4; + * + * @return Whether the documentDimensions field is set. + */ + boolean hasDocumentDimensions(); + /** + * + * + * 
+   * The dimensions of the page in the document.
+   *
+ * + * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4; + * + * @return The documentDimensions. + */ + com.google.cloud.automl.v1beta1.DocumentDimensions getDocumentDimensions(); + /** + * + * + * 
+   * The dimensions of the page in the document.
+   *
+ * + * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4; + */ + com.google.cloud.automl.v1beta1.DocumentDimensionsOrBuilder getDocumentDimensionsOrBuilder(); + + /** + * + * + * 
+   * Number of pages in the document.
+   *
+ * + * int32 page_count = 5; + * + * @return The pageCount. + */ + int getPageCount(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DoubleRange.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DoubleRange.java new file mode 100644 index 000000000..5ff5f6d46 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DoubleRange.java @@ -0,0 +1,636 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/ranges.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * A range between two double numbers.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.DoubleRange} + */ +public final class DoubleRange extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.DoubleRange) + DoubleRangeOrBuilder { + private static final long serialVersionUID = 0L; + // Use DoubleRange.newBuilder() to construct. + private DoubleRange(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private DoubleRange() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new DoubleRange(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private DoubleRange( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 9: + { + start_ = input.readDouble(); + break; + } + case 17: + { + end_ = input.readDouble(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.RangesProto + .internal_static_google_cloud_automl_v1beta1_DoubleRange_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.RangesProto + .internal_static_google_cloud_automl_v1beta1_DoubleRange_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.DoubleRange.class, + com.google.cloud.automl.v1beta1.DoubleRange.Builder.class); + } + + public static final int START_FIELD_NUMBER = 1; + private double start_; + /** + * + * + * 
+   * Start of the range, inclusive.
+   *
+ * + * double start = 1; + * + * @return The start. + */ + public double getStart() { + return start_; + } + + public static final int END_FIELD_NUMBER = 2; + private double end_; + /** + * + * + * 
+   * End of the range, exclusive.
+   *
+ * + * double end = 2; + * + * @return The end. + */ + public double getEnd() { + return end_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (start_ != 0D) { + output.writeDouble(1, start_); + } + if (end_ != 0D) { + output.writeDouble(2, end_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (start_ != 0D) { + size += com.google.protobuf.CodedOutputStream.computeDoubleSize(1, start_); + } + if (end_ != 0D) { + size += com.google.protobuf.CodedOutputStream.computeDoubleSize(2, end_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.DoubleRange)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.DoubleRange other = + (com.google.cloud.automl.v1beta1.DoubleRange) obj; + + if (java.lang.Double.doubleToLongBits(getStart()) + != java.lang.Double.doubleToLongBits(other.getStart())) return false; + if (java.lang.Double.doubleToLongBits(getEnd()) + != java.lang.Double.doubleToLongBits(other.getEnd())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + START_FIELD_NUMBER; + hash = + (53 * hash) + + com.google.protobuf.Internal.hashLong(java.lang.Double.doubleToLongBits(getStart())); + hash = (37 * hash) + END_FIELD_NUMBER; + hash = + (53 * hash) + + com.google.protobuf.Internal.hashLong(java.lang.Double.doubleToLongBits(getEnd())); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.DoubleRange parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DoubleRange parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DoubleRange parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DoubleRange parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DoubleRange parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.DoubleRange parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DoubleRange parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DoubleRange parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DoubleRange parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DoubleRange parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.DoubleRange parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.DoubleRange parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.DoubleRange prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * A range between two double numbers.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.DoubleRange} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.DoubleRange) + com.google.cloud.automl.v1beta1.DoubleRangeOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.RangesProto + .internal_static_google_cloud_automl_v1beta1_DoubleRange_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.RangesProto + .internal_static_google_cloud_automl_v1beta1_DoubleRange_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.DoubleRange.class, + com.google.cloud.automl.v1beta1.DoubleRange.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.DoubleRange.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + start_ = 0D; + + end_ = 0D; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.RangesProto + .internal_static_google_cloud_automl_v1beta1_DoubleRange_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DoubleRange getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.DoubleRange.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DoubleRange build() { + com.google.cloud.automl.v1beta1.DoubleRange result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DoubleRange buildPartial() { + com.google.cloud.automl.v1beta1.DoubleRange result = + new com.google.cloud.automl.v1beta1.DoubleRange(this); + result.start_ = start_; + result.end_ = end_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.DoubleRange) { + return mergeFrom((com.google.cloud.automl.v1beta1.DoubleRange) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.DoubleRange other) { + if (other == com.google.cloud.automl.v1beta1.DoubleRange.getDefaultInstance()) return this; + if (other.getStart() != 0D) { + setStart(other.getStart()); + } + if (other.getEnd() != 0D) { + setEnd(other.getEnd()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.DoubleRange parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.DoubleRange) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private double start_; + /** + * + * + * 
+     * Start of the range, inclusive.
+     *
+ * + * double start = 1; + * + * @return The start. + */ + public double getStart() { + return start_; + } + /** + * + * + * 
+     * Start of the range, inclusive.
+     *
+ * + * double start = 1; + * + * @param value The start to set. + * @return This builder for chaining. + */ + public Builder setStart(double value) { + + start_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Start of the range, inclusive.
+     *
+ * + * double start = 1; + * + * @return This builder for chaining. + */ + public Builder clearStart() { + + start_ = 0D; + onChanged(); + return this; + } + + private double end_; + /** + * + * + * 
+     * End of the range, exclusive.
+     *
+ * + * double end = 2; + * + * @return The end. + */ + public double getEnd() { + return end_; + } + /** + * + * + * 
+     * End of the range, exclusive.
+     *
+ * + * double end = 2; + * + * @param value The end to set. + * @return This builder for chaining. + */ + public Builder setEnd(double value) { + + end_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * End of the range, exclusive.
+     *
+ * + * double end = 2; + * + * @return This builder for chaining. + */ + public Builder clearEnd() { + + end_ = 0D; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.DoubleRange) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.DoubleRange) + private static final com.google.cloud.automl.v1beta1.DoubleRange DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.DoubleRange(); + } + + public static com.google.cloud.automl.v1beta1.DoubleRange getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public DoubleRange parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new DoubleRange(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.DoubleRange getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DoubleRangeOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DoubleRangeOrBuilder.java new file mode 100644 index 000000000..ba891fc3e --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DoubleRangeOrBuilder.java @@ -0,0 +1,51 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/ranges.proto + +package com.google.cloud.automl.v1beta1; + +public interface DoubleRangeOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.DoubleRange) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Start of the range, inclusive.
+   *
+ * + * double start = 1; + * + * @return The start. + */ + double getStart(); + + /** + * + * + * 
+   * End of the range, exclusive.
+   *
+ * + * double end = 2; + * + * @return The end. + */ + double getEnd(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExamplePayload.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExamplePayload.java new file mode 100644 index 000000000..22453800b --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExamplePayload.java @@ -0,0 +1,1722 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_items.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Example data used for training or prediction.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ExamplePayload} + */ +public final class ExamplePayload extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ExamplePayload) + ExamplePayloadOrBuilder { + private static final long serialVersionUID = 0L; + // Use ExamplePayload.newBuilder() to construct. + private ExamplePayload(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ExamplePayload() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ExamplePayload(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ExamplePayload( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + com.google.cloud.automl.v1beta1.Image.Builder subBuilder = null; + if (payloadCase_ == 1) { + subBuilder = ((com.google.cloud.automl.v1beta1.Image) payload_).toBuilder(); + } + payload_ = + input.readMessage( + com.google.cloud.automl.v1beta1.Image.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.Image) payload_); + payload_ = subBuilder.buildPartial(); + } + payloadCase_ = 1; + break; + } + case 18: + { + com.google.cloud.automl.v1beta1.TextSnippet.Builder subBuilder = null; + if (payloadCase_ == 2) { + subBuilder = ((com.google.cloud.automl.v1beta1.TextSnippet) payload_).toBuilder(); + } + payload_ = + input.readMessage( + com.google.cloud.automl.v1beta1.TextSnippet.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.TextSnippet) payload_); + payload_ = subBuilder.buildPartial(); + } + payloadCase_ = 2; + break; + } + case 26: + { + com.google.cloud.automl.v1beta1.Row.Builder subBuilder = null; + if (payloadCase_ == 3) { + subBuilder = ((com.google.cloud.automl.v1beta1.Row) payload_).toBuilder(); + } + payload_ = + input.readMessage( + com.google.cloud.automl.v1beta1.Row.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.Row) payload_); + payload_ = subBuilder.buildPartial(); + } + payloadCase_ = 3; + break; + } + case 34: + { + com.google.cloud.automl.v1beta1.Document.Builder subBuilder = null; + if (payloadCase_ == 4) { + subBuilder = ((com.google.cloud.automl.v1beta1.Document) payload_).toBuilder(); + } + payload_ = + input.readMessage( + com.google.cloud.automl.v1beta1.Document.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.Document) payload_); + payload_ = subBuilder.buildPartial(); + } + payloadCase_ = 4; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_ExamplePayload_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_ExamplePayload_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ExamplePayload.class, + com.google.cloud.automl.v1beta1.ExamplePayload.Builder.class); + } + + private int payloadCase_ = 0; + private java.lang.Object payload_; + + public enum PayloadCase + implements + com.google.protobuf.Internal.EnumLite, + com.google.protobuf.AbstractMessage.InternalOneOfEnum { + IMAGE(1), + TEXT_SNIPPET(2), + DOCUMENT(4), + ROW(3), + PAYLOAD_NOT_SET(0); + private final int value; + + private PayloadCase(int value) { + this.value = value; + } + /** + * @param value The number of the enum to look for. + * @return The enum associated with the given number. + * @deprecated Use {@link #forNumber(int)} instead. + */ + @java.lang.Deprecated + public static PayloadCase valueOf(int value) { + return forNumber(value); + } + + public static PayloadCase forNumber(int value) { + switch (value) { + case 1: + return IMAGE; + case 2: + return TEXT_SNIPPET; + case 4: + return DOCUMENT; + case 3: + return ROW; + case 0: + return PAYLOAD_NOT_SET; + default: + return null; + } + } + + public int getNumber() { + return this.value; + } + }; + + public PayloadCase getPayloadCase() { + return PayloadCase.forNumber(payloadCase_); + } + + public static final int IMAGE_FIELD_NUMBER = 1; + /** + * + * + * 
+   * Example image.
+   *
+ * + * .google.cloud.automl.v1beta1.Image image = 1; + * + * @return Whether the image field is set. + */ + public boolean hasImage() { + return payloadCase_ == 1; + } + /** + * + * + * 
+   * Example image.
+   *
+ * + * .google.cloud.automl.v1beta1.Image image = 1; + * + * @return The image. + */ + public com.google.cloud.automl.v1beta1.Image getImage() { + if (payloadCase_ == 1) { + return (com.google.cloud.automl.v1beta1.Image) payload_; + } + return com.google.cloud.automl.v1beta1.Image.getDefaultInstance(); + } + /** + * + * + * 
+   * Example image.
+   *
+ * + * .google.cloud.automl.v1beta1.Image image = 1; + */ + public com.google.cloud.automl.v1beta1.ImageOrBuilder getImageOrBuilder() { + if (payloadCase_ == 1) { + return (com.google.cloud.automl.v1beta1.Image) payload_; + } + return com.google.cloud.automl.v1beta1.Image.getDefaultInstance(); + } + + public static final int TEXT_SNIPPET_FIELD_NUMBER = 2; + /** + * + * + * 
+   * Example text.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSnippet text_snippet = 2; + * + * @return Whether the textSnippet field is set. + */ + public boolean hasTextSnippet() { + return payloadCase_ == 2; + } + /** + * + * + * 
+   * Example text.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSnippet text_snippet = 2; + * + * @return The textSnippet. + */ + public com.google.cloud.automl.v1beta1.TextSnippet getTextSnippet() { + if (payloadCase_ == 2) { + return (com.google.cloud.automl.v1beta1.TextSnippet) payload_; + } + return com.google.cloud.automl.v1beta1.TextSnippet.getDefaultInstance(); + } + /** + * + * + * 
+   * Example text.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSnippet text_snippet = 2; + */ + public com.google.cloud.automl.v1beta1.TextSnippetOrBuilder getTextSnippetOrBuilder() { + if (payloadCase_ == 2) { + return (com.google.cloud.automl.v1beta1.TextSnippet) payload_; + } + return com.google.cloud.automl.v1beta1.TextSnippet.getDefaultInstance(); + } + + public static final int DOCUMENT_FIELD_NUMBER = 4; + /** + * + * + * 
+   * Example document.
+   *
+ * + * .google.cloud.automl.v1beta1.Document document = 4; + * + * @return Whether the document field is set. + */ + public boolean hasDocument() { + return payloadCase_ == 4; + } + /** + * + * + * 
+   * Example document.
+   *
+ * + * .google.cloud.automl.v1beta1.Document document = 4; + * + * @return The document. + */ + public com.google.cloud.automl.v1beta1.Document getDocument() { + if (payloadCase_ == 4) { + return (com.google.cloud.automl.v1beta1.Document) payload_; + } + return com.google.cloud.automl.v1beta1.Document.getDefaultInstance(); + } + /** + * + * + * 
+   * Example document.
+   *
+ * + * .google.cloud.automl.v1beta1.Document document = 4; + */ + public com.google.cloud.automl.v1beta1.DocumentOrBuilder getDocumentOrBuilder() { + if (payloadCase_ == 4) { + return (com.google.cloud.automl.v1beta1.Document) payload_; + } + return com.google.cloud.automl.v1beta1.Document.getDefaultInstance(); + } + + public static final int ROW_FIELD_NUMBER = 3; + /** + * + * + * 
+   * Example relational table row.
+   *
+ * + * .google.cloud.automl.v1beta1.Row row = 3; + * + * @return Whether the row field is set. + */ + public boolean hasRow() { + return payloadCase_ == 3; + } + /** + * + * + * 
+   * Example relational table row.
+   *
+ * + * .google.cloud.automl.v1beta1.Row row = 3; + * + * @return The row. + */ + public com.google.cloud.automl.v1beta1.Row getRow() { + if (payloadCase_ == 3) { + return (com.google.cloud.automl.v1beta1.Row) payload_; + } + return com.google.cloud.automl.v1beta1.Row.getDefaultInstance(); + } + /** + * + * + * 
+   * Example relational table row.
+   *
+ * + * .google.cloud.automl.v1beta1.Row row = 3; + */ + public com.google.cloud.automl.v1beta1.RowOrBuilder getRowOrBuilder() { + if (payloadCase_ == 3) { + return (com.google.cloud.automl.v1beta1.Row) payload_; + } + return com.google.cloud.automl.v1beta1.Row.getDefaultInstance(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (payloadCase_ == 1) { + output.writeMessage(1, (com.google.cloud.automl.v1beta1.Image) payload_); + } + if (payloadCase_ == 2) { + output.writeMessage(2, (com.google.cloud.automl.v1beta1.TextSnippet) payload_); + } + if (payloadCase_ == 3) { + output.writeMessage(3, (com.google.cloud.automl.v1beta1.Row) payload_); + } + if (payloadCase_ == 4) { + output.writeMessage(4, (com.google.cloud.automl.v1beta1.Document) payload_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (payloadCase_ == 1) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 1, (com.google.cloud.automl.v1beta1.Image) payload_); + } + if (payloadCase_ == 2) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 2, (com.google.cloud.automl.v1beta1.TextSnippet) payload_); + } + if (payloadCase_ == 3) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 3, (com.google.cloud.automl.v1beta1.Row) payload_); + } + if (payloadCase_ == 4) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 4, (com.google.cloud.automl.v1beta1.Document) payload_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ExamplePayload)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ExamplePayload other = + (com.google.cloud.automl.v1beta1.ExamplePayload) obj; + + if (!getPayloadCase().equals(other.getPayloadCase())) return false; + switch (payloadCase_) { + case 1: + if (!getImage().equals(other.getImage())) return false; + break; + case 2: + if (!getTextSnippet().equals(other.getTextSnippet())) return false; + break; + case 4: + if (!getDocument().equals(other.getDocument())) return false; + break; + case 3: + if (!getRow().equals(other.getRow())) return false; + break; + case 0: + default: + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + switch (payloadCase_) { + case 1: + hash = (37 * hash) + IMAGE_FIELD_NUMBER; + hash = (53 * hash) + getImage().hashCode(); + break; + case 2: + hash = (37 * hash) + TEXT_SNIPPET_FIELD_NUMBER; + hash = (53 * hash) + getTextSnippet().hashCode(); + break; + case 4: + hash = (37 * hash) + DOCUMENT_FIELD_NUMBER; + hash = (53 * hash) + getDocument().hashCode(); + break; + case 3: + hash = (37 * hash) + ROW_FIELD_NUMBER; + hash = (53 * hash) + getRow().hashCode(); + break; + case 0: + default: + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ExamplePayload parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExamplePayload parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExamplePayload parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExamplePayload parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExamplePayload parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExamplePayload parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExamplePayload parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExamplePayload parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExamplePayload parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExamplePayload parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExamplePayload parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExamplePayload parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.ExamplePayload prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Example data used for training or prediction.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ExamplePayload} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ExamplePayload) + com.google.cloud.automl.v1beta1.ExamplePayloadOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_ExamplePayload_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_ExamplePayload_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ExamplePayload.class, + com.google.cloud.automl.v1beta1.ExamplePayload.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.ExamplePayload.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + payloadCase_ = 0; + payload_ = null; + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_ExamplePayload_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExamplePayload getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ExamplePayload.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExamplePayload build() { + com.google.cloud.automl.v1beta1.ExamplePayload result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExamplePayload buildPartial() { + com.google.cloud.automl.v1beta1.ExamplePayload result = + new com.google.cloud.automl.v1beta1.ExamplePayload(this); + if (payloadCase_ == 1) { + if (imageBuilder_ == null) { + result.payload_ = payload_; + } else { + result.payload_ = imageBuilder_.build(); + } + } + if (payloadCase_ == 2) { + if (textSnippetBuilder_ == null) { + result.payload_ = payload_; + } else { + result.payload_ = textSnippetBuilder_.build(); + } + } + if (payloadCase_ == 4) { + if (documentBuilder_ == null) { + result.payload_ = payload_; + } else { + result.payload_ = documentBuilder_.build(); + } + } + if (payloadCase_ == 3) { + if (rowBuilder_ == null) { + result.payload_ = payload_; + } else { + result.payload_ = rowBuilder_.build(); + } + } + result.payloadCase_ = payloadCase_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ExamplePayload) { + return mergeFrom((com.google.cloud.automl.v1beta1.ExamplePayload) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.ExamplePayload other) { + if (other == com.google.cloud.automl.v1beta1.ExamplePayload.getDefaultInstance()) return this; + switch (other.getPayloadCase()) { + case IMAGE: + { + mergeImage(other.getImage()); + break; + } + case TEXT_SNIPPET: + { + mergeTextSnippet(other.getTextSnippet()); + break; + } + case DOCUMENT: + { + mergeDocument(other.getDocument()); + break; + } + case ROW: + { + mergeRow(other.getRow()); + break; + } + case PAYLOAD_NOT_SET: + { + break; + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ExamplePayload parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.ExamplePayload) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int payloadCase_ = 0; + private java.lang.Object payload_; + + public PayloadCase getPayloadCase() { + return PayloadCase.forNumber(payloadCase_); + } + + public Builder clearPayload() { + payloadCase_ = 0; + payload_ = null; + onChanged(); + return this; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.Image, + com.google.cloud.automl.v1beta1.Image.Builder, + com.google.cloud.automl.v1beta1.ImageOrBuilder> + imageBuilder_; + /** + * + * + * 
+     * Example image.
+     *
+ * + * .google.cloud.automl.v1beta1.Image image = 1; + * + * @return Whether the image field is set. + */ + public boolean hasImage() { + return payloadCase_ == 1; + } + /** + * + * + * 
+     * Example image.
+     *
+ * + * .google.cloud.automl.v1beta1.Image image = 1; + * + * @return The image. + */ + public com.google.cloud.automl.v1beta1.Image getImage() { + if (imageBuilder_ == null) { + if (payloadCase_ == 1) { + return (com.google.cloud.automl.v1beta1.Image) payload_; + } + return com.google.cloud.automl.v1beta1.Image.getDefaultInstance(); + } else { + if (payloadCase_ == 1) { + return imageBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.Image.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Example image.
+     *
+ * + * .google.cloud.automl.v1beta1.Image image = 1; + */ + public Builder setImage(com.google.cloud.automl.v1beta1.Image value) { + if (imageBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + payload_ = value; + onChanged(); + } else { + imageBuilder_.setMessage(value); + } + payloadCase_ = 1; + return this; + } + /** + * + * + * 
+     * Example image.
+     *
+ * + * .google.cloud.automl.v1beta1.Image image = 1; + */ + public Builder setImage(com.google.cloud.automl.v1beta1.Image.Builder builderForValue) { + if (imageBuilder_ == null) { + payload_ = builderForValue.build(); + onChanged(); + } else { + imageBuilder_.setMessage(builderForValue.build()); + } + payloadCase_ = 1; + return this; + } + /** + * + * + * 
+     * Example image.
+     *
+ * + * .google.cloud.automl.v1beta1.Image image = 1; + */ + public Builder mergeImage(com.google.cloud.automl.v1beta1.Image value) { + if (imageBuilder_ == null) { + if (payloadCase_ == 1 + && payload_ != com.google.cloud.automl.v1beta1.Image.getDefaultInstance()) { + payload_ = + com.google.cloud.automl.v1beta1.Image.newBuilder( + (com.google.cloud.automl.v1beta1.Image) payload_) + .mergeFrom(value) + .buildPartial(); + } else { + payload_ = value; + } + onChanged(); + } else { + if (payloadCase_ == 1) { + imageBuilder_.mergeFrom(value); + } + imageBuilder_.setMessage(value); + } + payloadCase_ = 1; + return this; + } + /** + * + * + * 
+     * Example image.
+     *
+ * + * .google.cloud.automl.v1beta1.Image image = 1; + */ + public Builder clearImage() { + if (imageBuilder_ == null) { + if (payloadCase_ == 1) { + payloadCase_ = 0; + payload_ = null; + onChanged(); + } + } else { + if (payloadCase_ == 1) { + payloadCase_ = 0; + payload_ = null; + } + imageBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Example image.
+     *
+ * + * .google.cloud.automl.v1beta1.Image image = 1; + */ + public com.google.cloud.automl.v1beta1.Image.Builder getImageBuilder() { + return getImageFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Example image.
+     *
+ * + * .google.cloud.automl.v1beta1.Image image = 1; + */ + public com.google.cloud.automl.v1beta1.ImageOrBuilder getImageOrBuilder() { + if ((payloadCase_ == 1) && (imageBuilder_ != null)) { + return imageBuilder_.getMessageOrBuilder(); + } else { + if (payloadCase_ == 1) { + return (com.google.cloud.automl.v1beta1.Image) payload_; + } + return com.google.cloud.automl.v1beta1.Image.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Example image.
+     *
+ * + * .google.cloud.automl.v1beta1.Image image = 1; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.Image, + com.google.cloud.automl.v1beta1.Image.Builder, + com.google.cloud.automl.v1beta1.ImageOrBuilder> + getImageFieldBuilder() { + if (imageBuilder_ == null) { + if (!(payloadCase_ == 1)) { + payload_ = com.google.cloud.automl.v1beta1.Image.getDefaultInstance(); + } + imageBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.Image, + com.google.cloud.automl.v1beta1.Image.Builder, + com.google.cloud.automl.v1beta1.ImageOrBuilder>( + (com.google.cloud.automl.v1beta1.Image) payload_, + getParentForChildren(), + isClean()); + payload_ = null; + } + payloadCase_ = 1; + onChanged(); + ; + return imageBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSnippet, + com.google.cloud.automl.v1beta1.TextSnippet.Builder, + com.google.cloud.automl.v1beta1.TextSnippetOrBuilder> + textSnippetBuilder_; + /** + * + * + * 
+     * Example text.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSnippet text_snippet = 2; + * + * @return Whether the textSnippet field is set. + */ + public boolean hasTextSnippet() { + return payloadCase_ == 2; + } + /** + * + * + * 
+     * Example text.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSnippet text_snippet = 2; + * + * @return The textSnippet. + */ + public com.google.cloud.automl.v1beta1.TextSnippet getTextSnippet() { + if (textSnippetBuilder_ == null) { + if (payloadCase_ == 2) { + return (com.google.cloud.automl.v1beta1.TextSnippet) payload_; + } + return com.google.cloud.automl.v1beta1.TextSnippet.getDefaultInstance(); + } else { + if (payloadCase_ == 2) { + return textSnippetBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.TextSnippet.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Example text.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSnippet text_snippet = 2; + */ + public Builder setTextSnippet(com.google.cloud.automl.v1beta1.TextSnippet value) { + if (textSnippetBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + payload_ = value; + onChanged(); + } else { + textSnippetBuilder_.setMessage(value); + } + payloadCase_ = 2; + return this; + } + /** + * + * + * 
+     * Example text.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSnippet text_snippet = 2; + */ + public Builder setTextSnippet( + com.google.cloud.automl.v1beta1.TextSnippet.Builder builderForValue) { + if (textSnippetBuilder_ == null) { + payload_ = builderForValue.build(); + onChanged(); + } else { + textSnippetBuilder_.setMessage(builderForValue.build()); + } + payloadCase_ = 2; + return this; + } + /** + * + * + * 
+     * Example text.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSnippet text_snippet = 2; + */ + public Builder mergeTextSnippet(com.google.cloud.automl.v1beta1.TextSnippet value) { + if (textSnippetBuilder_ == null) { + if (payloadCase_ == 2 + && payload_ != com.google.cloud.automl.v1beta1.TextSnippet.getDefaultInstance()) { + payload_ = + com.google.cloud.automl.v1beta1.TextSnippet.newBuilder( + (com.google.cloud.automl.v1beta1.TextSnippet) payload_) + .mergeFrom(value) + .buildPartial(); + } else { + payload_ = value; + } + onChanged(); + } else { + if (payloadCase_ == 2) { + textSnippetBuilder_.mergeFrom(value); + } + textSnippetBuilder_.setMessage(value); + } + payloadCase_ = 2; + return this; + } + /** + * + * + * 
+     * Example text.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSnippet text_snippet = 2; + */ + public Builder clearTextSnippet() { + if (textSnippetBuilder_ == null) { + if (payloadCase_ == 2) { + payloadCase_ = 0; + payload_ = null; + onChanged(); + } + } else { + if (payloadCase_ == 2) { + payloadCase_ = 0; + payload_ = null; + } + textSnippetBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Example text.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSnippet text_snippet = 2; + */ + public com.google.cloud.automl.v1beta1.TextSnippet.Builder getTextSnippetBuilder() { + return getTextSnippetFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Example text.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSnippet text_snippet = 2; + */ + public com.google.cloud.automl.v1beta1.TextSnippetOrBuilder getTextSnippetOrBuilder() { + if ((payloadCase_ == 2) && (textSnippetBuilder_ != null)) { + return textSnippetBuilder_.getMessageOrBuilder(); + } else { + if (payloadCase_ == 2) { + return (com.google.cloud.automl.v1beta1.TextSnippet) payload_; + } + return com.google.cloud.automl.v1beta1.TextSnippet.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Example text.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSnippet text_snippet = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSnippet, + com.google.cloud.automl.v1beta1.TextSnippet.Builder, + com.google.cloud.automl.v1beta1.TextSnippetOrBuilder> + getTextSnippetFieldBuilder() { + if (textSnippetBuilder_ == null) { + if (!(payloadCase_ == 2)) { + payload_ = com.google.cloud.automl.v1beta1.TextSnippet.getDefaultInstance(); + } + textSnippetBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSnippet, + com.google.cloud.automl.v1beta1.TextSnippet.Builder, + com.google.cloud.automl.v1beta1.TextSnippetOrBuilder>( + (com.google.cloud.automl.v1beta1.TextSnippet) payload_, + getParentForChildren(), + isClean()); + payload_ = null; + } + payloadCase_ = 2; + onChanged(); + ; + return textSnippetBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.Document, + com.google.cloud.automl.v1beta1.Document.Builder, + com.google.cloud.automl.v1beta1.DocumentOrBuilder> + documentBuilder_; + /** + * + * + * 
+     * Example document.
+     *
+ * + * .google.cloud.automl.v1beta1.Document document = 4; + * + * @return Whether the document field is set. + */ + public boolean hasDocument() { + return payloadCase_ == 4; + } + /** + * + * + * 
+     * Example document.
+     *
+ * + * .google.cloud.automl.v1beta1.Document document = 4; + * + * @return The document. + */ + public com.google.cloud.automl.v1beta1.Document getDocument() { + if (documentBuilder_ == null) { + if (payloadCase_ == 4) { + return (com.google.cloud.automl.v1beta1.Document) payload_; + } + return com.google.cloud.automl.v1beta1.Document.getDefaultInstance(); + } else { + if (payloadCase_ == 4) { + return documentBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.Document.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Example document.
+     *
+ * + * .google.cloud.automl.v1beta1.Document document = 4; + */ + public Builder setDocument(com.google.cloud.automl.v1beta1.Document value) { + if (documentBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + payload_ = value; + onChanged(); + } else { + documentBuilder_.setMessage(value); + } + payloadCase_ = 4; + return this; + } + /** + * + * + * 
+     * Example document.
+     *
+ * + * .google.cloud.automl.v1beta1.Document document = 4; + */ + public Builder setDocument(com.google.cloud.automl.v1beta1.Document.Builder builderForValue) { + if (documentBuilder_ == null) { + payload_ = builderForValue.build(); + onChanged(); + } else { + documentBuilder_.setMessage(builderForValue.build()); + } + payloadCase_ = 4; + return this; + } + /** + * + * + * 
+     * Example document.
+     *
+ * + * .google.cloud.automl.v1beta1.Document document = 4; + */ + public Builder mergeDocument(com.google.cloud.automl.v1beta1.Document value) { + if (documentBuilder_ == null) { + if (payloadCase_ == 4 + && payload_ != com.google.cloud.automl.v1beta1.Document.getDefaultInstance()) { + payload_ = + com.google.cloud.automl.v1beta1.Document.newBuilder( + (com.google.cloud.automl.v1beta1.Document) payload_) + .mergeFrom(value) + .buildPartial(); + } else { + payload_ = value; + } + onChanged(); + } else { + if (payloadCase_ == 4) { + documentBuilder_.mergeFrom(value); + } + documentBuilder_.setMessage(value); + } + payloadCase_ = 4; + return this; + } + /** + * + * + * 
+     * Example document.
+     *
+ * + * .google.cloud.automl.v1beta1.Document document = 4; + */ + public Builder clearDocument() { + if (documentBuilder_ == null) { + if (payloadCase_ == 4) { + payloadCase_ = 0; + payload_ = null; + onChanged(); + } + } else { + if (payloadCase_ == 4) { + payloadCase_ = 0; + payload_ = null; + } + documentBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Example document.
+     *
+ * + * .google.cloud.automl.v1beta1.Document document = 4; + */ + public com.google.cloud.automl.v1beta1.Document.Builder getDocumentBuilder() { + return getDocumentFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Example document.
+     *
+ * + * .google.cloud.automl.v1beta1.Document document = 4; + */ + public com.google.cloud.automl.v1beta1.DocumentOrBuilder getDocumentOrBuilder() { + if ((payloadCase_ == 4) && (documentBuilder_ != null)) { + return documentBuilder_.getMessageOrBuilder(); + } else { + if (payloadCase_ == 4) { + return (com.google.cloud.automl.v1beta1.Document) payload_; + } + return com.google.cloud.automl.v1beta1.Document.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Example document.
+     *
+ * + * .google.cloud.automl.v1beta1.Document document = 4; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.Document, + com.google.cloud.automl.v1beta1.Document.Builder, + com.google.cloud.automl.v1beta1.DocumentOrBuilder> + getDocumentFieldBuilder() { + if (documentBuilder_ == null) { + if (!(payloadCase_ == 4)) { + payload_ = com.google.cloud.automl.v1beta1.Document.getDefaultInstance(); + } + documentBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.Document, + com.google.cloud.automl.v1beta1.Document.Builder, + com.google.cloud.automl.v1beta1.DocumentOrBuilder>( + (com.google.cloud.automl.v1beta1.Document) payload_, + getParentForChildren(), + isClean()); + payload_ = null; + } + payloadCase_ = 4; + onChanged(); + ; + return documentBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.Row, + com.google.cloud.automl.v1beta1.Row.Builder, + com.google.cloud.automl.v1beta1.RowOrBuilder> + rowBuilder_; + /** + * + * + * 
+     * Example relational table row.
+     *
+ * + * .google.cloud.automl.v1beta1.Row row = 3; + * + * @return Whether the row field is set. + */ + public boolean hasRow() { + return payloadCase_ == 3; + } + /** + * + * + * 
+     * Example relational table row.
+     *
+ * + * .google.cloud.automl.v1beta1.Row row = 3; + * + * @return The row. + */ + public com.google.cloud.automl.v1beta1.Row getRow() { + if (rowBuilder_ == null) { + if (payloadCase_ == 3) { + return (com.google.cloud.automl.v1beta1.Row) payload_; + } + return com.google.cloud.automl.v1beta1.Row.getDefaultInstance(); + } else { + if (payloadCase_ == 3) { + return rowBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.Row.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Example relational table row.
+     *
+ * + * .google.cloud.automl.v1beta1.Row row = 3; + */ + public Builder setRow(com.google.cloud.automl.v1beta1.Row value) { + if (rowBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + payload_ = value; + onChanged(); + } else { + rowBuilder_.setMessage(value); + } + payloadCase_ = 3; + return this; + } + /** + * + * + * 
+     * Example relational table row.
+     *
+ * + * .google.cloud.automl.v1beta1.Row row = 3; + */ + public Builder setRow(com.google.cloud.automl.v1beta1.Row.Builder builderForValue) { + if (rowBuilder_ == null) { + payload_ = builderForValue.build(); + onChanged(); + } else { + rowBuilder_.setMessage(builderForValue.build()); + } + payloadCase_ = 3; + return this; + } + /** + * + * + * 
+     * Example relational table row.
+     *
+ * + * .google.cloud.automl.v1beta1.Row row = 3; + */ + public Builder mergeRow(com.google.cloud.automl.v1beta1.Row value) { + if (rowBuilder_ == null) { + if (payloadCase_ == 3 + && payload_ != com.google.cloud.automl.v1beta1.Row.getDefaultInstance()) { + payload_ = + com.google.cloud.automl.v1beta1.Row.newBuilder( + (com.google.cloud.automl.v1beta1.Row) payload_) + .mergeFrom(value) + .buildPartial(); + } else { + payload_ = value; + } + onChanged(); + } else { + if (payloadCase_ == 3) { + rowBuilder_.mergeFrom(value); + } + rowBuilder_.setMessage(value); + } + payloadCase_ = 3; + return this; + } + /** + * + * + * 
+     * Example relational table row.
+     *
+ * + * .google.cloud.automl.v1beta1.Row row = 3; + */ + public Builder clearRow() { + if (rowBuilder_ == null) { + if (payloadCase_ == 3) { + payloadCase_ = 0; + payload_ = null; + onChanged(); + } + } else { + if (payloadCase_ == 3) { + payloadCase_ = 0; + payload_ = null; + } + rowBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Example relational table row.
+     *
+ * + * .google.cloud.automl.v1beta1.Row row = 3; + */ + public com.google.cloud.automl.v1beta1.Row.Builder getRowBuilder() { + return getRowFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Example relational table row.
+     *
+ * + * .google.cloud.automl.v1beta1.Row row = 3; + */ + public com.google.cloud.automl.v1beta1.RowOrBuilder getRowOrBuilder() { + if ((payloadCase_ == 3) && (rowBuilder_ != null)) { + return rowBuilder_.getMessageOrBuilder(); + } else { + if (payloadCase_ == 3) { + return (com.google.cloud.automl.v1beta1.Row) payload_; + } + return com.google.cloud.automl.v1beta1.Row.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Example relational table row.
+     *
+ * + * .google.cloud.automl.v1beta1.Row row = 3; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.Row, + com.google.cloud.automl.v1beta1.Row.Builder, + com.google.cloud.automl.v1beta1.RowOrBuilder> + getRowFieldBuilder() { + if (rowBuilder_ == null) { + if (!(payloadCase_ == 3)) { + payload_ = com.google.cloud.automl.v1beta1.Row.getDefaultInstance(); + } + rowBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.Row, + com.google.cloud.automl.v1beta1.Row.Builder, + com.google.cloud.automl.v1beta1.RowOrBuilder>( + (com.google.cloud.automl.v1beta1.Row) payload_, getParentForChildren(), isClean()); + payload_ = null; + } + payloadCase_ = 3; + onChanged(); + ; + return rowBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ExamplePayload) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ExamplePayload) + private static final com.google.cloud.automl.v1beta1.ExamplePayload DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ExamplePayload(); + } + + public static com.google.cloud.automl.v1beta1.ExamplePayload getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ExamplePayload parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ExamplePayload(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExamplePayload getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExamplePayloadOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExamplePayloadOrBuilder.java new file mode 100644 index 000000000..98988792b --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExamplePayloadOrBuilder.java @@ -0,0 +1,167 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_items.proto + +package com.google.cloud.automl.v1beta1; + +public interface ExamplePayloadOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ExamplePayload) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Example image.
+   *
+ * + * .google.cloud.automl.v1beta1.Image image = 1; + * + * @return Whether the image field is set. + */ + boolean hasImage(); + /** + * + * + * 
+   * Example image.
+   *
+ * + * .google.cloud.automl.v1beta1.Image image = 1; + * + * @return The image. + */ + com.google.cloud.automl.v1beta1.Image getImage(); + /** + * + * + * 
+   * Example image.
+   *
+ * + * .google.cloud.automl.v1beta1.Image image = 1; + */ + com.google.cloud.automl.v1beta1.ImageOrBuilder getImageOrBuilder(); + + /** + * + * + * 
+   * Example text.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSnippet text_snippet = 2; + * + * @return Whether the textSnippet field is set. + */ + boolean hasTextSnippet(); + /** + * + * + * 
+   * Example text.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSnippet text_snippet = 2; + * + * @return The textSnippet. + */ + com.google.cloud.automl.v1beta1.TextSnippet getTextSnippet(); + /** + * + * + * 
+   * Example text.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSnippet text_snippet = 2; + */ + com.google.cloud.automl.v1beta1.TextSnippetOrBuilder getTextSnippetOrBuilder(); + + /** + * + * + * 
+   * Example document.
+   *
+ * + * .google.cloud.automl.v1beta1.Document document = 4; + * + * @return Whether the document field is set. + */ + boolean hasDocument(); + /** + * + * + * 
+   * Example document.
+   *
+ * + * .google.cloud.automl.v1beta1.Document document = 4; + * + * @return The document. + */ + com.google.cloud.automl.v1beta1.Document getDocument(); + /** + * + * + * 
+   * Example document.
+   *
+ * + * .google.cloud.automl.v1beta1.Document document = 4; + */ + com.google.cloud.automl.v1beta1.DocumentOrBuilder getDocumentOrBuilder(); + + /** + * + * + * 
+   * Example relational table row.
+   *
+ * + * .google.cloud.automl.v1beta1.Row row = 3; + * + * @return Whether the row field is set. + */ + boolean hasRow(); + /** + * + * + * 
+   * Example relational table row.
+   *
+ * + * .google.cloud.automl.v1beta1.Row row = 3; + * + * @return The row. + */ + com.google.cloud.automl.v1beta1.Row getRow(); + /** + * + * + * 
+   * Example relational table row.
+   *
+ * + * .google.cloud.automl.v1beta1.Row row = 3; + */ + com.google.cloud.automl.v1beta1.RowOrBuilder getRowOrBuilder(); + + public com.google.cloud.automl.v1beta1.ExamplePayload.PayloadCase getPayloadCase(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportDataOperationMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportDataOperationMetadata.java new file mode 100644 index 000000000..8761c85b7 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportDataOperationMetadata.java @@ -0,0 +1,1824 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/operations.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Details of ExportData operation.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ExportDataOperationMetadata} + */ +public final class ExportDataOperationMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ExportDataOperationMetadata) + ExportDataOperationMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use ExportDataOperationMetadata.newBuilder() to construct. + private ExportDataOperationMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ExportDataOperationMetadata() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ExportDataOperationMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ExportDataOperationMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + .Builder + subBuilder = null; + if (outputInfo_ != null) { + subBuilder = outputInfo_.toBuilder(); + } + outputInfo_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata + .ExportDataOutputInfo.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(outputInfo_); + outputInfo_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.class, + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.Builder.class); + } + + public interface ExportDataOutputInfoOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+     * The full path of the Google Cloud Storage directory created, into which
+     * the exported data is written.
+     *
+ * + * string gcs_output_directory = 1; + * + * @return The gcsOutputDirectory. + */ + java.lang.String getGcsOutputDirectory(); + /** + * + * + * 
+     * The full path of the Google Cloud Storage directory created, into which
+     * the exported data is written.
+     *
+ * + * string gcs_output_directory = 1; + * + * @return The bytes for gcsOutputDirectory. + */ + com.google.protobuf.ByteString getGcsOutputDirectoryBytes(); + + /** + * + * + * 
+     * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+     * format, into which the exported data is written.
+     *
+ * + * string bigquery_output_dataset = 2; + * + * @return The bigqueryOutputDataset. + */ + java.lang.String getBigqueryOutputDataset(); + /** + * + * + * 
+     * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+     * format, into which the exported data is written.
+     *
+ * + * string bigquery_output_dataset = 2; + * + * @return The bytes for bigqueryOutputDataset. + */ + com.google.protobuf.ByteString getBigqueryOutputDatasetBytes(); + + public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + .OutputLocationCase + getOutputLocationCase(); + } + /** + * + * + * 
+   * Further describes this export data's output.
+   * Supplements
+   * [OutputConfig][google.cloud.automl.v1beta1.OutputConfig].
+   *
+ * + * Protobuf type {@code + * google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo} + */ + public static final class ExportDataOutputInfo extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo) + ExportDataOutputInfoOrBuilder { + private static final long serialVersionUID = 0L; + // Use ExportDataOutputInfo.newBuilder() to construct. + private ExportDataOutputInfo(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ExportDataOutputInfo() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ExportDataOutputInfo(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ExportDataOutputInfo( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + outputLocationCase_ = 1; + outputLocation_ = s; + break; + } + case 18: + { + java.lang.String s = input.readStringRequireUtf8(); + outputLocationCase_ = 2; + outputLocation_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_ExportDataOutputInfo_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_ExportDataOutputInfo_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + .class, + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + .Builder.class); + } + + private int outputLocationCase_ = 0; + private java.lang.Object outputLocation_; + + public enum OutputLocationCase + implements + com.google.protobuf.Internal.EnumLite, + com.google.protobuf.AbstractMessage.InternalOneOfEnum { + GCS_OUTPUT_DIRECTORY(1), + BIGQUERY_OUTPUT_DATASET(2), + OUTPUTLOCATION_NOT_SET(0); + private final int value; + + private OutputLocationCase(int value) { + this.value = value; + } + /** + * @param value The number of the enum to look for. + * @return The enum associated with the given number. + * @deprecated Use {@link #forNumber(int)} instead. + */ + @java.lang.Deprecated + public static OutputLocationCase valueOf(int value) { + return forNumber(value); + } + + public static OutputLocationCase forNumber(int value) { + switch (value) { + case 1: + return GCS_OUTPUT_DIRECTORY; + case 2: + return BIGQUERY_OUTPUT_DATASET; + case 0: + return OUTPUTLOCATION_NOT_SET; + default: + return null; + } + } + + public int getNumber() { + return this.value; + } + }; + + public OutputLocationCase getOutputLocationCase() { + return OutputLocationCase.forNumber(outputLocationCase_); + } + + public static final int GCS_OUTPUT_DIRECTORY_FIELD_NUMBER = 1; + /** + * + * + * 
+     * The full path of the Google Cloud Storage directory created, into which
+     * the exported data is written.
+     *
+ * + * string gcs_output_directory = 1; + * + * @return The gcsOutputDirectory. + */ + public java.lang.String getGcsOutputDirectory() { + java.lang.Object ref = ""; + if (outputLocationCase_ == 1) { + ref = outputLocation_; + } + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + if (outputLocationCase_ == 1) { + outputLocation_ = s; + } + return s; + } + } + /** + * + * + * 
+     * The full path of the Google Cloud Storage directory created, into which
+     * the exported data is written.
+     *
+ * + * string gcs_output_directory = 1; + * + * @return The bytes for gcsOutputDirectory. + */ + public com.google.protobuf.ByteString getGcsOutputDirectoryBytes() { + java.lang.Object ref = ""; + if (outputLocationCase_ == 1) { + ref = outputLocation_; + } + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + if (outputLocationCase_ == 1) { + outputLocation_ = b; + } + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int BIGQUERY_OUTPUT_DATASET_FIELD_NUMBER = 2; + /** + * + * + * 
+     * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+     * format, into which the exported data is written.
+     *
+ * + * string bigquery_output_dataset = 2; + * + * @return The bigqueryOutputDataset. + */ + public java.lang.String getBigqueryOutputDataset() { + java.lang.Object ref = ""; + if (outputLocationCase_ == 2) { + ref = outputLocation_; + } + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + if (outputLocationCase_ == 2) { + outputLocation_ = s; + } + return s; + } + } + /** + * + * + * 
+     * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+     * format, into which the exported data is written.
+     *
+ * + * string bigquery_output_dataset = 2; + * + * @return The bytes for bigqueryOutputDataset. + */ + public com.google.protobuf.ByteString getBigqueryOutputDatasetBytes() { + java.lang.Object ref = ""; + if (outputLocationCase_ == 2) { + ref = outputLocation_; + } + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + if (outputLocationCase_ == 2) { + outputLocation_ = b; + } + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (outputLocationCase_ == 1) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, outputLocation_); + } + if (outputLocationCase_ == 2) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 2, outputLocation_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (outputLocationCase_ == 1) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, outputLocation_); + } + if (outputLocationCase_ == 2) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, outputLocation_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj + instanceof + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo other = + (com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo) obj; + + if (!getOutputLocationCase().equals(other.getOutputLocationCase())) return false; + switch (outputLocationCase_) { + case 1: + if (!getGcsOutputDirectory().equals(other.getGcsOutputDirectory())) return false; + break; + case 2: + if (!getBigqueryOutputDataset().equals(other.getBigqueryOutputDataset())) return false; + break; + case 0: + default: + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + switch (outputLocationCase_) { + case 1: + hash = (37 * hash) + GCS_OUTPUT_DIRECTORY_FIELD_NUMBER; + hash = (53 * hash) + getGcsOutputDirectory().hashCode(); + break; + case 2: + hash = (37 * hash) + BIGQUERY_OUTPUT_DATASET_FIELD_NUMBER; + hash = (53 * hash) + getBigqueryOutputDataset().hashCode(); + break; + case 0: + default: + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + parseFrom(com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + parseFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType( + com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+     * Further describes this export data's output.
+     * Supplements
+     * [OutputConfig][google.cloud.automl.v1beta1.OutputConfig].
+     *
+ * + * Protobuf type {@code + * google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo} + */ + public static final class Builder + extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo) + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfoOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_ExportDataOutputInfo_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_ExportDataOutputInfo_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + .class, + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + .Builder.class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + outputLocationCase_ = 0; + outputLocation_ = null; + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_ExportDataOutputInfo_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + .getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + build() { + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo result = + buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + buildPartial() { + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo result = + new com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo( + this); + if (outputLocationCase_ == 1) { + result.outputLocation_ = outputLocation_; + } + if (outputLocationCase_ == 2) { + result.outputLocation_ = outputLocation_; + } + result.outputLocationCase_ = outputLocationCase_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, + int index, + java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other + instanceof + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo) + other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo other) { + if (other + == com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + .getDefaultInstance()) return this; + switch (other.getOutputLocationCase()) { + case GCS_OUTPUT_DIRECTORY: + { + outputLocationCase_ = 1; + outputLocation_ = other.outputLocation_; + onChanged(); + break; + } + case BIGQUERY_OUTPUT_DATASET: + { + outputLocationCase_ = 2; + outputLocation_ = other.outputLocation_; + onChanged(); + break; + } + case OUTPUTLOCATION_NOT_SET: + { + break; + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int outputLocationCase_ = 0; + private java.lang.Object outputLocation_; + + public OutputLocationCase getOutputLocationCase() { + return OutputLocationCase.forNumber(outputLocationCase_); + } + + public Builder clearOutputLocation() { + outputLocationCase_ = 0; + outputLocation_ = null; + onChanged(); + return this; + } + + /** + * + * + * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the exported data is written.
+       *
+ * + * string gcs_output_directory = 1; + * + * @return The gcsOutputDirectory. + */ + public java.lang.String getGcsOutputDirectory() { + java.lang.Object ref = ""; + if (outputLocationCase_ == 1) { + ref = outputLocation_; + } + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + if (outputLocationCase_ == 1) { + outputLocation_ = s; + } + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the exported data is written.
+       *
+ * + * string gcs_output_directory = 1; + * + * @return The bytes for gcsOutputDirectory. + */ + public com.google.protobuf.ByteString getGcsOutputDirectoryBytes() { + java.lang.Object ref = ""; + if (outputLocationCase_ == 1) { + ref = outputLocation_; + } + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + if (outputLocationCase_ == 1) { + outputLocation_ = b; + } + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the exported data is written.
+       *
+ * + * string gcs_output_directory = 1; + * + * @param value The gcsOutputDirectory to set. + * @return This builder for chaining. + */ + public Builder setGcsOutputDirectory(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + outputLocationCase_ = 1; + outputLocation_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the exported data is written.
+       *
+ * + * string gcs_output_directory = 1; + * + * @return This builder for chaining. + */ + public Builder clearGcsOutputDirectory() { + if (outputLocationCase_ == 1) { + outputLocationCase_ = 0; + outputLocation_ = null; + onChanged(); + } + return this; + } + /** + * + * + * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the exported data is written.
+       *
+ * + * string gcs_output_directory = 1; + * + * @param value The bytes for gcsOutputDirectory to set. + * @return This builder for chaining. + */ + public Builder setGcsOutputDirectoryBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + outputLocationCase_ = 1; + outputLocation_ = value; + onChanged(); + return this; + } + + /** + * + * + * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the exported data is written.
+       *
+ * + * string bigquery_output_dataset = 2; + * + * @return The bigqueryOutputDataset. + */ + public java.lang.String getBigqueryOutputDataset() { + java.lang.Object ref = ""; + if (outputLocationCase_ == 2) { + ref = outputLocation_; + } + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + if (outputLocationCase_ == 2) { + outputLocation_ = s; + } + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the exported data is written.
+       *
+ * + * string bigquery_output_dataset = 2; + * + * @return The bytes for bigqueryOutputDataset. + */ + public com.google.protobuf.ByteString getBigqueryOutputDatasetBytes() { + java.lang.Object ref = ""; + if (outputLocationCase_ == 2) { + ref = outputLocation_; + } + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + if (outputLocationCase_ == 2) { + outputLocation_ = b; + } + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the exported data is written.
+       *
+ * + * string bigquery_output_dataset = 2; + * + * @param value The bigqueryOutputDataset to set. + * @return This builder for chaining. + */ + public Builder setBigqueryOutputDataset(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + outputLocationCase_ = 2; + outputLocation_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the exported data is written.
+       *
+ * + * string bigquery_output_dataset = 2; + * + * @return This builder for chaining. + */ + public Builder clearBigqueryOutputDataset() { + if (outputLocationCase_ == 2) { + outputLocationCase_ = 0; + outputLocation_ = null; + onChanged(); + } + return this; + } + /** + * + * + * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the exported data is written.
+       *
+ * + * string bigquery_output_dataset = 2; + * + * @param value The bytes for bigqueryOutputDataset to set. + * @return This builder for chaining. + */ + public Builder setBigqueryOutputDatasetBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + outputLocationCase_ = 2; + outputLocation_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo) + private static final com.google.cloud.automl.v1beta1.ExportDataOperationMetadata + .ExportDataOutputInfo + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = + new com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo(); + } + + public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ExportDataOutputInfo parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ExportDataOutputInfo(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } + } + + public static final int OUTPUT_INFO_FIELD_NUMBER = 1; + private com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + outputInfo_; + /** + * + * + * 
+   * Output only. Information further describing this export data's output.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1; + * + * + * @return Whether the outputInfo field is set. + */ + public boolean hasOutputInfo() { + return outputInfo_ != null; + } + /** + * + * + * 
+   * Output only. Information further describing this export data's output.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1; + * + * + * @return The outputInfo. + */ + public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + getOutputInfo() { + return outputInfo_ == null + ? com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + .getDefaultInstance() + : outputInfo_; + } + /** + * + * + * 
+   * Output only. Information further describing this export data's output.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1; + * + */ + public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfoOrBuilder + getOutputInfoOrBuilder() { + return getOutputInfo(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (outputInfo_ != null) { + output.writeMessage(1, getOutputInfo()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (outputInfo_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getOutputInfo()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ExportDataOperationMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata other = + (com.google.cloud.automl.v1beta1.ExportDataOperationMetadata) obj; + + if (hasOutputInfo() != other.hasOutputInfo()) return false; + if (hasOutputInfo()) { + if (!getOutputInfo().equals(other.getOutputInfo())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (hasOutputInfo()) { + hash = (37 * hash) + OUTPUT_INFO_FIELD_NUMBER; + hash = (53 * hash) + getOutputInfo().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Details of ExportData operation.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ExportDataOperationMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ExportDataOperationMetadata) + com.google.cloud.automl.v1beta1.ExportDataOperationMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.class, + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (outputInfoBuilder_ == null) { + outputInfo_ = null; + } else { + outputInfo_ = null; + outputInfoBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata build() { + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata buildPartial() { + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata result = + new com.google.cloud.automl.v1beta1.ExportDataOperationMetadata(this); + if (outputInfoBuilder_ == null) { + result.outputInfo_ = outputInfo_; + } else { + result.outputInfo_ = outputInfoBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ExportDataOperationMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.ExportDataOperationMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.ExportDataOperationMetadata other) { + if (other == com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.getDefaultInstance()) + return this; + if (other.hasOutputInfo()) { + mergeOutputInfo(other.getOutputInfo()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ExportDataOperationMetadata) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + outputInfo_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo, + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + .Builder, + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata + .ExportDataOutputInfoOrBuilder> + outputInfoBuilder_; + /** + * + * + * 
+     * Output only. Information further describing this export data's output.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1; + * + * + * @return Whether the outputInfo field is set. + */ + public boolean hasOutputInfo() { + return outputInfoBuilder_ != null || outputInfo_ != null; + } + /** + * + * + * 
+     * Output only. Information further describing this export data's output.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1; + * + * + * @return The outputInfo. + */ + public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + getOutputInfo() { + if (outputInfoBuilder_ == null) { + return outputInfo_ == null + ? com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + .getDefaultInstance() + : outputInfo_; + } else { + return outputInfoBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Output only. Information further describing this export data's output.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1; + * + */ + public Builder setOutputInfo( + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo value) { + if (outputInfoBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + outputInfo_ = value; + onChanged(); + } else { + outputInfoBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. Information further describing this export data's output.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1; + * + */ + public Builder setOutputInfo( + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo.Builder + builderForValue) { + if (outputInfoBuilder_ == null) { + outputInfo_ = builderForValue.build(); + onChanged(); + } else { + outputInfoBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Output only. Information further describing this export data's output.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1; + * + */ + public Builder mergeOutputInfo( + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo value) { + if (outputInfoBuilder_ == null) { + if (outputInfo_ != null) { + outputInfo_ = + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + .newBuilder(outputInfo_) + .mergeFrom(value) + .buildPartial(); + } else { + outputInfo_ = value; + } + onChanged(); + } else { + outputInfoBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. Information further describing this export data's output.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1; + * + */ + public Builder clearOutputInfo() { + if (outputInfoBuilder_ == null) { + outputInfo_ = null; + onChanged(); + } else { + outputInfo_ = null; + outputInfoBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Output only. Information further describing this export data's output.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1; + * + */ + public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo.Builder + getOutputInfoBuilder() { + + onChanged(); + return getOutputInfoFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Output only. Information further describing this export data's output.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1; + * + */ + public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfoOrBuilder + getOutputInfoOrBuilder() { + if (outputInfoBuilder_ != null) { + return outputInfoBuilder_.getMessageOrBuilder(); + } else { + return outputInfo_ == null + ? com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + .getDefaultInstance() + : outputInfo_; + } + } + /** + * + * + * 
+     * Output only. Information further describing this export data's output.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo, + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + .Builder, + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata + .ExportDataOutputInfoOrBuilder> + getOutputInfoFieldBuilder() { + if (outputInfoBuilder_ == null) { + outputInfoBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo, + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo + .Builder, + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata + .ExportDataOutputInfoOrBuilder>( + getOutputInfo(), getParentForChildren(), isClean()); + outputInfo_ = null; + } + return outputInfoBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ExportDataOperationMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ExportDataOperationMetadata) + private static final com.google.cloud.automl.v1beta1.ExportDataOperationMetadata DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ExportDataOperationMetadata(); + } + + public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ExportDataOperationMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ExportDataOperationMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportDataOperationMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportDataOperationMetadataOrBuilder.java new file mode 100644 index 000000000..00325c144 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportDataOperationMetadataOrBuilder.java @@ -0,0 +1,67 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/operations.proto + +package com.google.cloud.automl.v1beta1; + +public interface ExportDataOperationMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ExportDataOperationMetadata) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Output only. Information further describing this export data's output.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1; + * + * + * @return Whether the outputInfo field is set. + */ + boolean hasOutputInfo(); + /** + * + * + * 
+   * Output only. Information further describing this export data's output.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1; + * + * + * @return The outputInfo. + */ + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo getOutputInfo(); + /** + * + * + * 
+   * Output only. Information further describing this export data's output.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1; + * + */ + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfoOrBuilder + getOutputInfoOrBuilder(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportDataRequest.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportDataRequest.java new file mode 100644 index 000000000..11724c53b --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportDataRequest.java @@ -0,0 +1,947 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [AutoMl.ExportData][google.cloud.automl.v1beta1.AutoMl.ExportData].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ExportDataRequest} + */ +public final class ExportDataRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ExportDataRequest) + ExportDataRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use ExportDataRequest.newBuilder() to construct. + private ExportDataRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ExportDataRequest() { + name_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ExportDataRequest(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ExportDataRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + name_ = s; + break; + } + case 26: + { + com.google.cloud.automl.v1beta1.OutputConfig.Builder subBuilder = null; + if (outputConfig_ != null) { + subBuilder = outputConfig_.toBuilder(); + } + outputConfig_ = + input.readMessage( + com.google.cloud.automl.v1beta1.OutputConfig.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(outputConfig_); + outputConfig_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ExportDataRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ExportDataRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ExportDataRequest.class, + com.google.cloud.automl.v1beta1.ExportDataRequest.Builder.class); + } + + public static final int NAME_FIELD_NUMBER = 1; + private volatile java.lang.Object name_; + /** + * + * + * 
+   * Required. The resource name of the dataset.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. The resource name of the dataset.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int OUTPUT_CONFIG_FIELD_NUMBER = 3; + private com.google.cloud.automl.v1beta1.OutputConfig outputConfig_; + /** + * + * + * 
+   * Required. The desired output location.
+   *
+ * + * + * .google.cloud.automl.v1beta1.OutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the outputConfig field is set. + */ + public boolean hasOutputConfig() { + return outputConfig_ != null; + } + /** + * + * + * 
+   * Required. The desired output location.
+   *
+ * + * + * .google.cloud.automl.v1beta1.OutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The outputConfig. + */ + public com.google.cloud.automl.v1beta1.OutputConfig getOutputConfig() { + return outputConfig_ == null + ? com.google.cloud.automl.v1beta1.OutputConfig.getDefaultInstance() + : outputConfig_; + } + /** + * + * + * 
+   * Required. The desired output location.
+   *
+ * + * + * .google.cloud.automl.v1beta1.OutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.OutputConfigOrBuilder getOutputConfigOrBuilder() { + return getOutputConfig(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_); + } + if (outputConfig_ != null) { + output.writeMessage(3, getOutputConfig()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_); + } + if (outputConfig_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, getOutputConfig()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ExportDataRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ExportDataRequest other = + (com.google.cloud.automl.v1beta1.ExportDataRequest) obj; + + if (!getName().equals(other.getName())) return false; + if (hasOutputConfig() != other.hasOutputConfig()) return false; + if (hasOutputConfig()) { + if (!getOutputConfig().equals(other.getOutputConfig())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + NAME_FIELD_NUMBER; + hash = (53 * hash) + getName().hashCode(); + if (hasOutputConfig()) { + hash = (37 * hash) + OUTPUT_CONFIG_FIELD_NUMBER; + hash = (53 * hash) + getOutputConfig().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ExportDataRequest parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportDataRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportDataRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportDataRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportDataRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportDataRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportDataRequest parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportDataRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportDataRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportDataRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportDataRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportDataRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.ExportDataRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [AutoMl.ExportData][google.cloud.automl.v1beta1.AutoMl.ExportData].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ExportDataRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ExportDataRequest) + com.google.cloud.automl.v1beta1.ExportDataRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ExportDataRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ExportDataRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ExportDataRequest.class, + com.google.cloud.automl.v1beta1.ExportDataRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.ExportDataRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + name_ = ""; + + if (outputConfigBuilder_ == null) { + outputConfig_ = null; + } else { + outputConfig_ = null; + outputConfigBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ExportDataRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportDataRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ExportDataRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportDataRequest build() { + com.google.cloud.automl.v1beta1.ExportDataRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportDataRequest buildPartial() { + com.google.cloud.automl.v1beta1.ExportDataRequest result = + new com.google.cloud.automl.v1beta1.ExportDataRequest(this); + result.name_ = name_; + if (outputConfigBuilder_ == null) { + result.outputConfig_ = outputConfig_; + } else { + result.outputConfig_ = outputConfigBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ExportDataRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.ExportDataRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.ExportDataRequest other) { + if (other == com.google.cloud.automl.v1beta1.ExportDataRequest.getDefaultInstance()) + return this; + if (!other.getName().isEmpty()) { + name_ = other.name_; + onChanged(); + } + if (other.hasOutputConfig()) { + mergeOutputConfig(other.getOutputConfig()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ExportDataRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ExportDataRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object name_ = ""; + /** + * + * + * 
+     * Required. The resource name of the dataset.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. The resource name of the dataset.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. The resource name of the dataset.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The name to set. + * @return This builder for chaining. + */ + public Builder setName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + name_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The resource name of the dataset.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return This builder for chaining. + */ + public Builder clearName() { + + name_ = getDefaultInstance().getName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The resource name of the dataset.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The bytes for name to set. + * @return This builder for chaining. + */ + public Builder setNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + name_ = value; + onChanged(); + return this; + } + + private com.google.cloud.automl.v1beta1.OutputConfig outputConfig_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.OutputConfig, + com.google.cloud.automl.v1beta1.OutputConfig.Builder, + com.google.cloud.automl.v1beta1.OutputConfigOrBuilder> + outputConfigBuilder_; + /** + * + * + * 
+     * Required. The desired output location.
+     *
+ * + * + * .google.cloud.automl.v1beta1.OutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the outputConfig field is set. + */ + public boolean hasOutputConfig() { + return outputConfigBuilder_ != null || outputConfig_ != null; + } + /** + * + * + * 
+     * Required. The desired output location.
+     *
+ * + * + * .google.cloud.automl.v1beta1.OutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The outputConfig. + */ + public com.google.cloud.automl.v1beta1.OutputConfig getOutputConfig() { + if (outputConfigBuilder_ == null) { + return outputConfig_ == null + ? com.google.cloud.automl.v1beta1.OutputConfig.getDefaultInstance() + : outputConfig_; + } else { + return outputConfigBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Required. The desired output location.
+     *
+ * + * + * .google.cloud.automl.v1beta1.OutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder setOutputConfig(com.google.cloud.automl.v1beta1.OutputConfig value) { + if (outputConfigBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + outputConfig_ = value; + onChanged(); + } else { + outputConfigBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Required. The desired output location.
+     *
+ * + * + * .google.cloud.automl.v1beta1.OutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder setOutputConfig( + com.google.cloud.automl.v1beta1.OutputConfig.Builder builderForValue) { + if (outputConfigBuilder_ == null) { + outputConfig_ = builderForValue.build(); + onChanged(); + } else { + outputConfigBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Required. The desired output location.
+     *
+ * + * + * .google.cloud.automl.v1beta1.OutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder mergeOutputConfig(com.google.cloud.automl.v1beta1.OutputConfig value) { + if (outputConfigBuilder_ == null) { + if (outputConfig_ != null) { + outputConfig_ = + com.google.cloud.automl.v1beta1.OutputConfig.newBuilder(outputConfig_) + .mergeFrom(value) + .buildPartial(); + } else { + outputConfig_ = value; + } + onChanged(); + } else { + outputConfigBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Required. The desired output location.
+     *
+ * + * + * .google.cloud.automl.v1beta1.OutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder clearOutputConfig() { + if (outputConfigBuilder_ == null) { + outputConfig_ = null; + onChanged(); + } else { + outputConfig_ = null; + outputConfigBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Required. The desired output location.
+     *
+ * + * + * .google.cloud.automl.v1beta1.OutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.OutputConfig.Builder getOutputConfigBuilder() { + + onChanged(); + return getOutputConfigFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Required. The desired output location.
+     *
+ * + * + * .google.cloud.automl.v1beta1.OutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.OutputConfigOrBuilder getOutputConfigOrBuilder() { + if (outputConfigBuilder_ != null) { + return outputConfigBuilder_.getMessageOrBuilder(); + } else { + return outputConfig_ == null + ? com.google.cloud.automl.v1beta1.OutputConfig.getDefaultInstance() + : outputConfig_; + } + } + /** + * + * + * 
+     * Required. The desired output location.
+     *
+ * + * + * .google.cloud.automl.v1beta1.OutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.OutputConfig, + com.google.cloud.automl.v1beta1.OutputConfig.Builder, + com.google.cloud.automl.v1beta1.OutputConfigOrBuilder> + getOutputConfigFieldBuilder() { + if (outputConfigBuilder_ == null) { + outputConfigBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.OutputConfig, + com.google.cloud.automl.v1beta1.OutputConfig.Builder, + com.google.cloud.automl.v1beta1.OutputConfigOrBuilder>( + getOutputConfig(), getParentForChildren(), isClean()); + outputConfig_ = null; + } + return outputConfigBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ExportDataRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ExportDataRequest) + private static final com.google.cloud.automl.v1beta1.ExportDataRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ExportDataRequest(); + } + + public static com.google.cloud.automl.v1beta1.ExportDataRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ExportDataRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ExportDataRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportDataRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportDataRequestOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportDataRequestOrBuilder.java new file mode 100644 index 000000000..2b3880ab4 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportDataRequestOrBuilder.java @@ -0,0 +1,95 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface ExportDataRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ExportDataRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. The resource name of the dataset.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + java.lang.String getName(); + /** + * + * + * 
+   * Required. The resource name of the dataset.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + com.google.protobuf.ByteString getNameBytes(); + + /** + * + * + * 
+   * Required. The desired output location.
+   *
+ * + * + * .google.cloud.automl.v1beta1.OutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the outputConfig field is set. + */ + boolean hasOutputConfig(); + /** + * + * + * 
+   * Required. The desired output location.
+   *
+ * + * + * .google.cloud.automl.v1beta1.OutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The outputConfig. + */ + com.google.cloud.automl.v1beta1.OutputConfig getOutputConfig(); + /** + * + * + * 
+   * Required. The desired output location.
+   *
+ * + * + * .google.cloud.automl.v1beta1.OutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + com.google.cloud.automl.v1beta1.OutputConfigOrBuilder getOutputConfigOrBuilder(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOperationMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOperationMetadata.java new file mode 100644 index 000000000..bf1a3a766 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOperationMetadata.java @@ -0,0 +1,1560 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/operations.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Details of EvaluatedExamples operation.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata} + */ +public final class ExportEvaluatedExamplesOperationMetadata + extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata) + ExportEvaluatedExamplesOperationMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use ExportEvaluatedExamplesOperationMetadata.newBuilder() to construct. + private ExportEvaluatedExamplesOperationMetadata( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ExportEvaluatedExamplesOperationMetadata() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ExportEvaluatedExamplesOperationMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ExportEvaluatedExamplesOperationMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 18: + { + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo.Builder + subBuilder = null; + if (outputInfo_ != null) { + subBuilder = outputInfo_.toBuilder(); + } + outputInfo_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(outputInfo_); + outputInfo_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.class, + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.Builder.class); + } + + public interface ExportEvaluatedExamplesOutputInfoOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+     * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+     * format, into which the output of export evaluated examples is written.
+     *
+ * + * string bigquery_output_dataset = 2; + * + * @return The bigqueryOutputDataset. + */ + java.lang.String getBigqueryOutputDataset(); + /** + * + * + * 
+     * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+     * format, into which the output of export evaluated examples is written.
+     *
+ * + * string bigquery_output_dataset = 2; + * + * @return The bytes for bigqueryOutputDataset. + */ + com.google.protobuf.ByteString getBigqueryOutputDatasetBytes(); + } + /** + * + * + * 
+   * Further describes the output of the evaluated examples export.
+   * Supplements
+   * [ExportEvaluatedExamplesOutputConfig][google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig].
+   *
+ * + * Protobuf type {@code + * google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo} + */ + public static final class ExportEvaluatedExamplesOutputInfo + extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo) + ExportEvaluatedExamplesOutputInfoOrBuilder { + private static final long serialVersionUID = 0L; + // Use ExportEvaluatedExamplesOutputInfo.newBuilder() to construct. + private ExportEvaluatedExamplesOutputInfo( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ExportEvaluatedExamplesOutputInfo() { + bigqueryOutputDataset_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ExportEvaluatedExamplesOutputInfo(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ExportEvaluatedExamplesOutputInfo( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 18: + { + java.lang.String s = input.readStringRequireUtf8(); + + bigqueryOutputDataset_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_ExportEvaluatedExamplesOutputInfo_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_ExportEvaluatedExamplesOutputInfo_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo.class, + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo.Builder.class); + } + + public static final int BIGQUERY_OUTPUT_DATASET_FIELD_NUMBER = 2; + private volatile java.lang.Object bigqueryOutputDataset_; + /** + * + * + * 
+     * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+     * format, into which the output of export evaluated examples is written.
+     *
+ * + * string bigquery_output_dataset = 2; + * + * @return The bigqueryOutputDataset. + */ + public java.lang.String getBigqueryOutputDataset() { + java.lang.Object ref = bigqueryOutputDataset_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + bigqueryOutputDataset_ = s; + return s; + } + } + /** + * + * + * 
+     * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+     * format, into which the output of export evaluated examples is written.
+     *
+ * + * string bigquery_output_dataset = 2; + * + * @return The bytes for bigqueryOutputDataset. + */ + public com.google.protobuf.ByteString getBigqueryOutputDatasetBytes() { + java.lang.Object ref = bigqueryOutputDataset_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + bigqueryOutputDataset_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getBigqueryOutputDatasetBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 2, bigqueryOutputDataset_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getBigqueryOutputDatasetBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, bigqueryOutputDataset_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj + instanceof + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + other = + (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo) + obj; + + if (!getBigqueryOutputDataset().equals(other.getBigqueryOutputDataset())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + BIGQUERY_OUTPUT_DATASET_FIELD_NUMBER; + hash = (53 * hash) + getBigqueryOutputDataset().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + parseFrom(com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + parseFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType( + com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+     * Further describes the output of the evaluated examples export.
+     * Supplements
+     * [ExportEvaluatedExamplesOutputConfig][google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig].
+     *
+ * + * Protobuf type {@code + * google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo} + */ + public static final class Builder + extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo) + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfoOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_ExportEvaluatedExamplesOutputInfo_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_ExportEvaluatedExamplesOutputInfo_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo.class, + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo.Builder.class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + bigqueryOutputDataset_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_ExportEvaluatedExamplesOutputInfo_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + build() { + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + buildPartial() { + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + result = + new com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo(this); + result.bigqueryOutputDataset_ = bigqueryOutputDataset_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, + int index, + java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other + instanceof + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo) + other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + other) { + if (other + == com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo.getDefaultInstance()) return this; + if (!other.getBigqueryOutputDataset().isEmpty()) { + bigqueryOutputDataset_ = other.bigqueryOutputDataset_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object bigqueryOutputDataset_ = ""; + /** + * + * + * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the output of export evaluated examples is written.
+       *
+ * + * string bigquery_output_dataset = 2; + * + * @return The bigqueryOutputDataset. + */ + public java.lang.String getBigqueryOutputDataset() { + java.lang.Object ref = bigqueryOutputDataset_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + bigqueryOutputDataset_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the output of export evaluated examples is written.
+       *
+ * + * string bigquery_output_dataset = 2; + * + * @return The bytes for bigqueryOutputDataset. + */ + public com.google.protobuf.ByteString getBigqueryOutputDatasetBytes() { + java.lang.Object ref = bigqueryOutputDataset_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + bigqueryOutputDataset_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the output of export evaluated examples is written.
+       *
+ * + * string bigquery_output_dataset = 2; + * + * @param value The bigqueryOutputDataset to set. + * @return This builder for chaining. + */ + public Builder setBigqueryOutputDataset(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + bigqueryOutputDataset_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the output of export evaluated examples is written.
+       *
+ * + * string bigquery_output_dataset = 2; + * + * @return This builder for chaining. + */ + public Builder clearBigqueryOutputDataset() { + + bigqueryOutputDataset_ = getDefaultInstance().getBigqueryOutputDataset(); + onChanged(); + return this; + } + /** + * + * + * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the output of export evaluated examples is written.
+       *
+ * + * string bigquery_output_dataset = 2; + * + * @param value The bytes for bigqueryOutputDataset to set. + * @return This builder for chaining. + */ + public Builder setBigqueryOutputDatasetBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + bigqueryOutputDataset_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo) + private static final com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = + new com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo(); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ExportEvaluatedExamplesOutputInfo parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ExportEvaluatedExamplesOutputInfo(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } + } + + public static final int OUTPUT_INFO_FIELD_NUMBER = 2; + private com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + outputInfo_; + /** + * + * + * 
+   * Output only. Information further describing the output of this evaluated
+   * examples export.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2; + * + * + * @return Whether the outputInfo field is set. + */ + public boolean hasOutputInfo() { + return outputInfo_ != null; + } + /** + * + * + * 
+   * Output only. Information further describing the output of this evaluated
+   * examples export.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2; + * + * + * @return The outputInfo. + */ + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + getOutputInfo() { + return outputInfo_ == null + ? com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo.getDefaultInstance() + : outputInfo_; + } + /** + * + * + * 
+   * Output only. Information further describing the output of this evaluated
+   * examples export.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2; + * + */ + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfoOrBuilder + getOutputInfoOrBuilder() { + return getOutputInfo(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (outputInfo_ != null) { + output.writeMessage(2, getOutputInfo()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (outputInfo_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getOutputInfo()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj + instanceof com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata other = + (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata) obj; + + if (hasOutputInfo() != other.hasOutputInfo()) return false; + if (hasOutputInfo()) { + if (!getOutputInfo().equals(other.getOutputInfo())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (hasOutputInfo()) { + hash = (37 * hash) + OUTPUT_INFO_FIELD_NUMBER; + hash = (53 * hash) + getOutputInfo().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata parseFrom( + byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Details of EvaluatedExamples operation.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata) + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.class, + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.Builder + .class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (outputInfoBuilder_ == null) { + outputInfo_ = null; + } else { + outputInfo_ = null; + outputInfoBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata build() { + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata result = + buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata buildPartial() { + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata result = + new com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata(this); + if (outputInfoBuilder_ == null) { + result.outputInfo_ = outputInfo_; + } else { + result.outputInfo_ = outputInfoBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other + instanceof com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata other) { + if (other + == com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .getDefaultInstance()) return this; + if (other.hasOutputInfo()) { + mergeOutputInfo(other.getOutputInfo()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + outputInfo_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo, + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo.Builder, + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfoOrBuilder> + outputInfoBuilder_; + /** + * + * + * 
+     * Output only. Information further describing the output of this evaluated
+     * examples export.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2; + * + * + * @return Whether the outputInfo field is set. + */ + public boolean hasOutputInfo() { + return outputInfoBuilder_ != null || outputInfo_ != null; + } + /** + * + * + * 
+     * Output only. Information further describing the output of this evaluated
+     * examples export.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2; + * + * + * @return The outputInfo. + */ + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + getOutputInfo() { + if (outputInfoBuilder_ == null) { + return outputInfo_ == null + ? com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo.getDefaultInstance() + : outputInfo_; + } else { + return outputInfoBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Output only. Information further describing the output of this evaluated
+     * examples export.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2; + * + */ + public Builder setOutputInfo( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + value) { + if (outputInfoBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + outputInfo_ = value; + onChanged(); + } else { + outputInfoBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. Information further describing the output of this evaluated
+     * examples export.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2; + * + */ + public Builder setOutputInfo( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo.Builder + builderForValue) { + if (outputInfoBuilder_ == null) { + outputInfo_ = builderForValue.build(); + onChanged(); + } else { + outputInfoBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Output only. Information further describing the output of this evaluated
+     * examples export.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2; + * + */ + public Builder mergeOutputInfo( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + value) { + if (outputInfoBuilder_ == null) { + if (outputInfo_ != null) { + outputInfo_ = + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo.newBuilder(outputInfo_) + .mergeFrom(value) + .buildPartial(); + } else { + outputInfo_ = value; + } + onChanged(); + } else { + outputInfoBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. Information further describing the output of this evaluated
+     * examples export.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2; + * + */ + public Builder clearOutputInfo() { + if (outputInfoBuilder_ == null) { + outputInfo_ = null; + onChanged(); + } else { + outputInfo_ = null; + outputInfoBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Output only. Information further describing the output of this evaluated
+     * examples export.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2; + * + */ + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo.Builder + getOutputInfoBuilder() { + + onChanged(); + return getOutputInfoFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Output only. Information further describing the output of this evaluated
+     * examples export.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2; + * + */ + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfoOrBuilder + getOutputInfoOrBuilder() { + if (outputInfoBuilder_ != null) { + return outputInfoBuilder_.getMessageOrBuilder(); + } else { + return outputInfo_ == null + ? com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo.getDefaultInstance() + : outputInfo_; + } + } + /** + * + * + * 
+     * Output only. Information further describing the output of this evaluated
+     * examples export.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo, + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo.Builder, + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfoOrBuilder> + getOutputInfoFieldBuilder() { + if (outputInfoBuilder_ == null) { + outputInfoBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo, + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo.Builder, + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfoOrBuilder>( + getOutputInfo(), getParentForChildren(), isClean()); + outputInfo_ = null; + } + return outputInfoBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata) + private static final com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = + new com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata(); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ExportEvaluatedExamplesOperationMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ExportEvaluatedExamplesOperationMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOperationMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOperationMetadataOrBuilder.java new file mode 100644 index 000000000..6a666090e --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOperationMetadataOrBuilder.java @@ -0,0 +1,73 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/operations.proto + +package com.google.cloud.automl.v1beta1; + +public interface ExportEvaluatedExamplesOperationMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Output only. Information further describing the output of this evaluated
+   * examples export.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2; + * + * + * @return Whether the outputInfo field is set. + */ + boolean hasOutputInfo(); + /** + * + * + * 
+   * Output only. Information further describing the output of this evaluated
+   * examples export.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2; + * + * + * @return The outputInfo. + */ + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfo + getOutputInfo(); + /** + * + * + * 
+   * Output only. Information further describing the output of this evaluated
+   * examples export.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2; + * + */ + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .ExportEvaluatedExamplesOutputInfoOrBuilder + getOutputInfoOrBuilder(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOutputConfig.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOutputConfig.java new file mode 100644 index 000000000..65670b2c1 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOutputConfig.java @@ -0,0 +1,901 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/io.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Output configuration for ExportEvaluatedExamples Action. Note that this call
+ * is available only for 30 days since the moment the model was evaluated.
+ * The output depends on the domain, as follows (note that only examples from
+ * the TEST set are exported):
+ *  *  For Tables:
+ * [bigquery_destination][google.cloud.automl.v1beta1.OutputConfig.bigquery_destination]
+ *       pointing to a BigQuery project must be set. In the given project a
+ *       new dataset will be created with name
+ * `export_evaluated_examples_<model-display-name>_<timestamp-of-export-call>`
+ *       where <model-display-name> will be made BigQuery-dataset-name
+ *       compatible (e.g. most special characters will become underscores),
+ *       and timestamp will be in YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601"
+ *       format. In the dataset an `evaluated_examples` table will be
+ *       created. It will have all the same columns as the
+ * [primary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id]
+ *       of the
+ *       [dataset][google.cloud.automl.v1beta1.Model.dataset_id] from which
+ *       the model was created, as they were at the moment of model's
+ *       evaluation (this includes the target column with its ground
+ *       truth), followed by a column called "predicted_<target_column>". That
+ *       last column will contain the model's prediction result for each
+ *       respective row, given as ARRAY of
+ *       [AnnotationPayloads][google.cloud.automl.v1beta1.AnnotationPayload],
+ *       represented as STRUCT-s, containing
+ *       [TablesAnnotation][google.cloud.automl.v1beta1.TablesAnnotation].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig} + */ +public final class ExportEvaluatedExamplesOutputConfig + extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig) + ExportEvaluatedExamplesOutputConfigOrBuilder { + private static final long serialVersionUID = 0L; + // Use ExportEvaluatedExamplesOutputConfig.newBuilder() to construct. + private ExportEvaluatedExamplesOutputConfig( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ExportEvaluatedExamplesOutputConfig() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ExportEvaluatedExamplesOutputConfig(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ExportEvaluatedExamplesOutputConfig( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 18: + { + com.google.cloud.automl.v1beta1.BigQueryDestination.Builder subBuilder = null; + if (destinationCase_ == 2) { + subBuilder = + ((com.google.cloud.automl.v1beta1.BigQueryDestination) destination_) + .toBuilder(); + } + destination_ = + input.readMessage( + com.google.cloud.automl.v1beta1.BigQueryDestination.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_); + destination_ = subBuilder.buildPartial(); + } + destinationCase_ = 2; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOutputConfig_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOutputConfig_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.class, + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.Builder.class); + } + + private int destinationCase_ = 0; + private java.lang.Object destination_; + + public enum DestinationCase + implements + com.google.protobuf.Internal.EnumLite, + com.google.protobuf.AbstractMessage.InternalOneOfEnum { + BIGQUERY_DESTINATION(2), + DESTINATION_NOT_SET(0); + private final int value; + + private DestinationCase(int value) { + this.value = value; + } + /** + * @param value The number of the enum to look for. + * @return The enum associated with the given number. + * @deprecated Use {@link #forNumber(int)} instead. + */ + @java.lang.Deprecated + public static DestinationCase valueOf(int value) { + return forNumber(value); + } + + public static DestinationCase forNumber(int value) { + switch (value) { + case 2: + return BIGQUERY_DESTINATION; + case 0: + return DESTINATION_NOT_SET; + default: + return null; + } + } + + public int getNumber() { + return this.value; + } + }; + + public DestinationCase getDestinationCase() { + return DestinationCase.forNumber(destinationCase_); + } + + public static final int BIGQUERY_DESTINATION_FIELD_NUMBER = 2; + /** + * + * + * 
+   * The BigQuery location where the output is to be written to.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + * + * @return Whether the bigqueryDestination field is set. + */ + public boolean hasBigqueryDestination() { + return destinationCase_ == 2; + } + /** + * + * + * 
+   * The BigQuery location where the output is to be written to.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + * + * @return The bigqueryDestination. + */ + public com.google.cloud.automl.v1beta1.BigQueryDestination getBigqueryDestination() { + if (destinationCase_ == 2) { + return (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_; + } + return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance(); + } + /** + * + * + * 
+   * The BigQuery location where the output is to be written to.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + */ + public com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder + getBigqueryDestinationOrBuilder() { + if (destinationCase_ == 2) { + return (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_; + } + return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (destinationCase_ == 2) { + output.writeMessage(2, (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (destinationCase_ == 2) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 2, (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig other = + (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig) obj; + + if (!getDestinationCase().equals(other.getDestinationCase())) return false; + switch (destinationCase_) { + case 2: + if (!getBigqueryDestination().equals(other.getBigqueryDestination())) return false; + break; + case 0: + default: + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + switch (destinationCase_) { + case 2: + hash = (37 * hash) + BIGQUERY_DESTINATION_FIELD_NUMBER; + hash = (53 * hash) + getBigqueryDestination().hashCode(); + break; + case 0: + default: + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig parseFrom( + byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Output configuration for ExportEvaluatedExamples Action. Note that this call
+   * is available only for 30 days since the moment the model was evaluated.
+   * The output depends on the domain, as follows (note that only examples from
+   * the TEST set are exported):
+   *  *  For Tables:
+   * [bigquery_destination][google.cloud.automl.v1beta1.OutputConfig.bigquery_destination]
+   *       pointing to a BigQuery project must be set. In the given project a
+   *       new dataset will be created with name
+   * `export_evaluated_examples_<model-display-name>_<timestamp-of-export-call>`
+   *       where <model-display-name> will be made BigQuery-dataset-name
+   *       compatible (e.g. most special characters will become underscores),
+   *       and timestamp will be in YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601"
+   *       format. In the dataset an `evaluated_examples` table will be
+   *       created. It will have all the same columns as the
+   * [primary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id]
+   *       of the
+   *       [dataset][google.cloud.automl.v1beta1.Model.dataset_id] from which
+   *       the model was created, as they were at the moment of model's
+   *       evaluation (this includes the target column with its ground
+   *       truth), followed by a column called "predicted_<target_column>". That
+   *       last column will contain the model's prediction result for each
+   *       respective row, given as ARRAY of
+   *       [AnnotationPayloads][google.cloud.automl.v1beta1.AnnotationPayload],
+   *       represented as STRUCT-s, containing
+   *       [TablesAnnotation][google.cloud.automl.v1beta1.TablesAnnotation].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig) + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfigOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOutputConfig_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOutputConfig_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.class, + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.Builder.class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + destinationCase_ = 0; + destination_ = null; + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOutputConfig_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig + .getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig build() { + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig buildPartial() { + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig result = + new com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig(this); + if (destinationCase_ == 2) { + if (bigqueryDestinationBuilder_ == null) { + result.destination_ = destination_; + } else { + result.destination_ = bigqueryDestinationBuilder_.build(); + } + } + result.destinationCase_ = destinationCase_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig other) { + if (other + == com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig + .getDefaultInstance()) return this; + switch (other.getDestinationCase()) { + case BIGQUERY_DESTINATION: + { + mergeBigqueryDestination(other.getBigqueryDestination()); + break; + } + case DESTINATION_NOT_SET: + { + break; + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int destinationCase_ = 0; + private java.lang.Object destination_; + + public DestinationCase getDestinationCase() { + return DestinationCase.forNumber(destinationCase_); + } + + public Builder clearDestination() { + destinationCase_ = 0; + destination_ = null; + onChanged(); + return this; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BigQueryDestination, + com.google.cloud.automl.v1beta1.BigQueryDestination.Builder, + com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder> + bigqueryDestinationBuilder_; + /** + * + * + * 
+     * The BigQuery location where the output is to be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + * + * @return Whether the bigqueryDestination field is set. + */ + public boolean hasBigqueryDestination() { + return destinationCase_ == 2; + } + /** + * + * + * 
+     * The BigQuery location where the output is to be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + * + * @return The bigqueryDestination. + */ + public com.google.cloud.automl.v1beta1.BigQueryDestination getBigqueryDestination() { + if (bigqueryDestinationBuilder_ == null) { + if (destinationCase_ == 2) { + return (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_; + } + return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance(); + } else { + if (destinationCase_ == 2) { + return bigqueryDestinationBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The BigQuery location where the output is to be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + */ + public Builder setBigqueryDestination( + com.google.cloud.automl.v1beta1.BigQueryDestination value) { + if (bigqueryDestinationBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + destination_ = value; + onChanged(); + } else { + bigqueryDestinationBuilder_.setMessage(value); + } + destinationCase_ = 2; + return this; + } + /** + * + * + * 
+     * The BigQuery location where the output is to be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + */ + public Builder setBigqueryDestination( + com.google.cloud.automl.v1beta1.BigQueryDestination.Builder builderForValue) { + if (bigqueryDestinationBuilder_ == null) { + destination_ = builderForValue.build(); + onChanged(); + } else { + bigqueryDestinationBuilder_.setMessage(builderForValue.build()); + } + destinationCase_ = 2; + return this; + } + /** + * + * + * 
+     * The BigQuery location where the output is to be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + */ + public Builder mergeBigqueryDestination( + com.google.cloud.automl.v1beta1.BigQueryDestination value) { + if (bigqueryDestinationBuilder_ == null) { + if (destinationCase_ == 2 + && destination_ + != com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance()) { + destination_ = + com.google.cloud.automl.v1beta1.BigQueryDestination.newBuilder( + (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_) + .mergeFrom(value) + .buildPartial(); + } else { + destination_ = value; + } + onChanged(); + } else { + if (destinationCase_ == 2) { + bigqueryDestinationBuilder_.mergeFrom(value); + } + bigqueryDestinationBuilder_.setMessage(value); + } + destinationCase_ = 2; + return this; + } + /** + * + * + * 
+     * The BigQuery location where the output is to be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + */ + public Builder clearBigqueryDestination() { + if (bigqueryDestinationBuilder_ == null) { + if (destinationCase_ == 2) { + destinationCase_ = 0; + destination_ = null; + onChanged(); + } + } else { + if (destinationCase_ == 2) { + destinationCase_ = 0; + destination_ = null; + } + bigqueryDestinationBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * The BigQuery location where the output is to be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + */ + public com.google.cloud.automl.v1beta1.BigQueryDestination.Builder + getBigqueryDestinationBuilder() { + return getBigqueryDestinationFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The BigQuery location where the output is to be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + */ + public com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder + getBigqueryDestinationOrBuilder() { + if ((destinationCase_ == 2) && (bigqueryDestinationBuilder_ != null)) { + return bigqueryDestinationBuilder_.getMessageOrBuilder(); + } else { + if (destinationCase_ == 2) { + return (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_; + } + return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The BigQuery location where the output is to be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BigQueryDestination, + com.google.cloud.automl.v1beta1.BigQueryDestination.Builder, + com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder> + getBigqueryDestinationFieldBuilder() { + if (bigqueryDestinationBuilder_ == null) { + if (!(destinationCase_ == 2)) { + destination_ = com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance(); + } + bigqueryDestinationBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BigQueryDestination, + com.google.cloud.automl.v1beta1.BigQueryDestination.Builder, + com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder>( + (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_, + getParentForChildren(), + isClean()); + destination_ = null; + } + destinationCase_ = 2; + onChanged(); + ; + return bigqueryDestinationBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig) + private static final com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig(); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ExportEvaluatedExamplesOutputConfig parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ExportEvaluatedExamplesOutputConfig(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOutputConfigOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOutputConfigOrBuilder.java new file mode 100644 index 000000000..0a514fbd4 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOutputConfigOrBuilder.java @@ -0,0 +1,63 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/io.proto + +package com.google.cloud.automl.v1beta1; + +public interface ExportEvaluatedExamplesOutputConfigOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * The BigQuery location where the output is to be written to.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + * + * @return Whether the bigqueryDestination field is set. + */ + boolean hasBigqueryDestination(); + /** + * + * + * 
+   * The BigQuery location where the output is to be written to.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + * + * @return The bigqueryDestination. + */ + com.google.cloud.automl.v1beta1.BigQueryDestination getBigqueryDestination(); + /** + * + * + * 
+   * The BigQuery location where the output is to be written to.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + */ + com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder getBigqueryDestinationOrBuilder(); + + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.DestinationCase + getDestinationCase(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesRequest.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesRequest.java new file mode 100644 index 000000000..32248f205 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesRequest.java @@ -0,0 +1,973 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [AutoMl.ExportEvaluatedExamples][google.cloud.automl.v1beta1.AutoMl.ExportEvaluatedExamples].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest} + */ +public final class ExportEvaluatedExamplesRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest) + ExportEvaluatedExamplesRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use ExportEvaluatedExamplesRequest.newBuilder() to construct. + private ExportEvaluatedExamplesRequest( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ExportEvaluatedExamplesRequest() { + name_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ExportEvaluatedExamplesRequest(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ExportEvaluatedExamplesRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + name_ = s; + break; + } + case 26: + { + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.Builder + subBuilder = null; + if (outputConfig_ != null) { + subBuilder = outputConfig_.toBuilder(); + } + outputConfig_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(outputConfig_); + outputConfig_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest.class, + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest.Builder.class); + } + + public static final int NAME_FIELD_NUMBER = 1; + private volatile java.lang.Object name_; + /** + * + * + * 
+   * Required. The resource name of the model whose evaluated examples are to
+   * be exported.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. The resource name of the model whose evaluated examples are to
+   * be exported.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int OUTPUT_CONFIG_FIELD_NUMBER = 3; + private com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig outputConfig_; + /** + * + * + * 
+   * Required. The desired output location and configuration.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the outputConfig field is set. + */ + public boolean hasOutputConfig() { + return outputConfig_ != null; + } + /** + * + * + * 
+   * Required. The desired output location and configuration.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The outputConfig. + */ + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig getOutputConfig() { + return outputConfig_ == null + ? com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.getDefaultInstance() + : outputConfig_; + } + /** + * + * + * 
+   * Required. The desired output location and configuration.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfigOrBuilder + getOutputConfigOrBuilder() { + return getOutputConfig(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_); + } + if (outputConfig_ != null) { + output.writeMessage(3, getOutputConfig()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_); + } + if (outputConfig_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, getOutputConfig()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest other = + (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest) obj; + + if (!getName().equals(other.getName())) return false; + if (hasOutputConfig() != other.hasOutputConfig()) return false; + if (hasOutputConfig()) { + if (!getOutputConfig().equals(other.getOutputConfig())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + NAME_FIELD_NUMBER; + hash = (53 * hash) + getName().hashCode(); + if (hasOutputConfig()) { + hash = (37 * hash) + OUTPUT_CONFIG_FIELD_NUMBER; + hash = (53 * hash) + getOutputConfig().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest parseFrom( + byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [AutoMl.ExportEvaluatedExamples][google.cloud.automl.v1beta1.AutoMl.ExportEvaluatedExamples].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest) + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest.class, + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + name_ = ""; + + if (outputConfigBuilder_ == null) { + outputConfig_ = null; + } else { + outputConfig_ = null; + outputConfigBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest build() { + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest buildPartial() { + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest result = + new com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest(this); + result.name_ = name_; + if (outputConfigBuilder_ == null) { + result.outputConfig_ = outputConfig_; + } else { + result.outputConfig_ = outputConfigBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest other) { + if (other + == com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest.getDefaultInstance()) + return this; + if (!other.getName().isEmpty()) { + name_ = other.name_; + onChanged(); + } + if (other.hasOutputConfig()) { + mergeOutputConfig(other.getOutputConfig()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object name_ = ""; + /** + * + * + * 
+     * Required. The resource name of the model whose evaluated examples are to
+     * be exported.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. The resource name of the model whose evaluated examples are to
+     * be exported.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. The resource name of the model whose evaluated examples are to
+     * be exported.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The name to set. + * @return This builder for chaining. + */ + public Builder setName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + name_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The resource name of the model whose evaluated examples are to
+     * be exported.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return This builder for chaining. + */ + public Builder clearName() { + + name_ = getDefaultInstance().getName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The resource name of the model whose evaluated examples are to
+     * be exported.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The bytes for name to set. + * @return This builder for chaining. + */ + public Builder setNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + name_ = value; + onChanged(); + return this; + } + + private com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig outputConfig_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig, + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.Builder, + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfigOrBuilder> + outputConfigBuilder_; + /** + * + * + * 
+     * Required. The desired output location and configuration.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the outputConfig field is set. + */ + public boolean hasOutputConfig() { + return outputConfigBuilder_ != null || outputConfig_ != null; + } + /** + * + * + * 
+     * Required. The desired output location and configuration.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The outputConfig. + */ + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig getOutputConfig() { + if (outputConfigBuilder_ == null) { + return outputConfig_ == null + ? com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig + .getDefaultInstance() + : outputConfig_; + } else { + return outputConfigBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Required. The desired output location and configuration.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder setOutputConfig( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig value) { + if (outputConfigBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + outputConfig_ = value; + onChanged(); + } else { + outputConfigBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Required. The desired output location and configuration.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder setOutputConfig( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.Builder + builderForValue) { + if (outputConfigBuilder_ == null) { + outputConfig_ = builderForValue.build(); + onChanged(); + } else { + outputConfigBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Required. The desired output location and configuration.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder mergeOutputConfig( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig value) { + if (outputConfigBuilder_ == null) { + if (outputConfig_ != null) { + outputConfig_ = + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.newBuilder( + outputConfig_) + .mergeFrom(value) + .buildPartial(); + } else { + outputConfig_ = value; + } + onChanged(); + } else { + outputConfigBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Required. The desired output location and configuration.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder clearOutputConfig() { + if (outputConfigBuilder_ == null) { + outputConfig_ = null; + onChanged(); + } else { + outputConfig_ = null; + outputConfigBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Required. The desired output location and configuration.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.Builder + getOutputConfigBuilder() { + + onChanged(); + return getOutputConfigFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Required. The desired output location and configuration.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfigOrBuilder + getOutputConfigOrBuilder() { + if (outputConfigBuilder_ != null) { + return outputConfigBuilder_.getMessageOrBuilder(); + } else { + return outputConfig_ == null + ? com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig + .getDefaultInstance() + : outputConfig_; + } + } + /** + * + * + * 
+     * Required. The desired output location and configuration.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig, + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.Builder, + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfigOrBuilder> + getOutputConfigFieldBuilder() { + if (outputConfigBuilder_ == null) { + outputConfigBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig, + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.Builder, + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfigOrBuilder>( + getOutputConfig(), getParentForChildren(), isClean()); + outputConfig_ = null; + } + return outputConfigBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest) + private static final com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest(); + } + + public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ExportEvaluatedExamplesRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ExportEvaluatedExamplesRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesRequestOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesRequestOrBuilder.java new file mode 100644 index 000000000..ad8a02cb8 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesRequestOrBuilder.java @@ -0,0 +1,98 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface ExportEvaluatedExamplesRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. The resource name of the model whose evaluated examples are to
+   * be exported.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + java.lang.String getName(); + /** + * + * + * 
+   * Required. The resource name of the model whose evaluated examples are to
+   * be exported.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + com.google.protobuf.ByteString getNameBytes(); + + /** + * + * + * 
+   * Required. The desired output location and configuration.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the outputConfig field is set. + */ + boolean hasOutputConfig(); + /** + * + * + * 
+   * Required. The desired output location and configuration.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The outputConfig. + */ + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig getOutputConfig(); + /** + * + * + * 
+   * Required. The desired output location and configuration.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfigOrBuilder + getOutputConfigOrBuilder(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelOperationMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelOperationMetadata.java new file mode 100644 index 000000000..e2b8aaa5e --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelOperationMetadata.java @@ -0,0 +1,1498 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/operations.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Details of ExportModel operation.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ExportModelOperationMetadata} + */ +public final class ExportModelOperationMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ExportModelOperationMetadata) + ExportModelOperationMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use ExportModelOperationMetadata.newBuilder() to construct. + private ExportModelOperationMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ExportModelOperationMetadata() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ExportModelOperationMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ExportModelOperationMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 18: + { + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + .Builder + subBuilder = null; + if (outputInfo_ != null) { + subBuilder = outputInfo_.toBuilder(); + } + outputInfo_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata + .ExportModelOutputInfo.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(outputInfo_); + outputInfo_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.class, + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.Builder.class); + } + + public interface ExportModelOutputInfoOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+     * The full path of the Google Cloud Storage directory created, into which
+     * the model will be exported.
+     *
+ * + * string gcs_output_directory = 1; + * + * @return The gcsOutputDirectory. + */ + java.lang.String getGcsOutputDirectory(); + /** + * + * + * 
+     * The full path of the Google Cloud Storage directory created, into which
+     * the model will be exported.
+     *
+ * + * string gcs_output_directory = 1; + * + * @return The bytes for gcsOutputDirectory. + */ + com.google.protobuf.ByteString getGcsOutputDirectoryBytes(); + } + /** + * + * + * 
+   * Further describes the output of model export.
+   * Supplements
+   * [ModelExportOutputConfig][google.cloud.automl.v1beta1.ModelExportOutputConfig].
+   *
+ * + * Protobuf type {@code + * google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo} + */ + public static final class ExportModelOutputInfo extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo) + ExportModelOutputInfoOrBuilder { + private static final long serialVersionUID = 0L; + // Use ExportModelOutputInfo.newBuilder() to construct. + private ExportModelOutputInfo(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ExportModelOutputInfo() { + gcsOutputDirectory_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ExportModelOutputInfo(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ExportModelOutputInfo( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + gcsOutputDirectory_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_ExportModelOutputInfo_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_ExportModelOutputInfo_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + .class, + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + .Builder.class); + } + + public static final int GCS_OUTPUT_DIRECTORY_FIELD_NUMBER = 1; + private volatile java.lang.Object gcsOutputDirectory_; + /** + * + * + * 
+     * The full path of the Google Cloud Storage directory created, into which
+     * the model will be exported.
+     *
+ * + * string gcs_output_directory = 1; + * + * @return The gcsOutputDirectory. + */ + public java.lang.String getGcsOutputDirectory() { + java.lang.Object ref = gcsOutputDirectory_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + gcsOutputDirectory_ = s; + return s; + } + } + /** + * + * + * 
+     * The full path of the Google Cloud Storage directory created, into which
+     * the model will be exported.
+     *
+ * + * string gcs_output_directory = 1; + * + * @return The bytes for gcsOutputDirectory. + */ + public com.google.protobuf.ByteString getGcsOutputDirectoryBytes() { + java.lang.Object ref = gcsOutputDirectory_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + gcsOutputDirectory_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getGcsOutputDirectoryBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, gcsOutputDirectory_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getGcsOutputDirectoryBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, gcsOutputDirectory_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj + instanceof + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo other = + (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo) obj; + + if (!getGcsOutputDirectory().equals(other.getGcsOutputDirectory())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + GCS_OUTPUT_DIRECTORY_FIELD_NUMBER; + hash = (53 * hash) + getGcsOutputDirectory().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + parseFrom(com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + parseFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType( + com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+     * Further describes the output of model export.
+     * Supplements
+     * [ModelExportOutputConfig][google.cloud.automl.v1beta1.ModelExportOutputConfig].
+     *
+ * + * Protobuf type {@code + * google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo} + */ + public static final class Builder + extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo) + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata + .ExportModelOutputInfoOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_ExportModelOutputInfo_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_ExportModelOutputInfo_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + .class, + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + .Builder.class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + gcsOutputDirectory_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_ExportModelOutputInfo_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + .getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + build() { + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo result = + buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + buildPartial() { + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo result = + new com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo( + this); + result.gcsOutputDirectory_ = gcsOutputDirectory_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, + int index, + java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other + instanceof + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo) + other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + other) { + if (other + == com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + .getDefaultInstance()) return this; + if (!other.getGcsOutputDirectory().isEmpty()) { + gcsOutputDirectory_ = other.gcsOutputDirectory_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object gcsOutputDirectory_ = ""; + /** + * + * + * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the model will be exported.
+       *
+ * + * string gcs_output_directory = 1; + * + * @return The gcsOutputDirectory. + */ + public java.lang.String getGcsOutputDirectory() { + java.lang.Object ref = gcsOutputDirectory_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + gcsOutputDirectory_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the model will be exported.
+       *
+ * + * string gcs_output_directory = 1; + * + * @return The bytes for gcsOutputDirectory. + */ + public com.google.protobuf.ByteString getGcsOutputDirectoryBytes() { + java.lang.Object ref = gcsOutputDirectory_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + gcsOutputDirectory_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the model will be exported.
+       *
+ * + * string gcs_output_directory = 1; + * + * @param value The gcsOutputDirectory to set. + * @return This builder for chaining. + */ + public Builder setGcsOutputDirectory(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + gcsOutputDirectory_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the model will be exported.
+       *
+ * + * string gcs_output_directory = 1; + * + * @return This builder for chaining. + */ + public Builder clearGcsOutputDirectory() { + + gcsOutputDirectory_ = getDefaultInstance().getGcsOutputDirectory(); + onChanged(); + return this; + } + /** + * + * + * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the model will be exported.
+       *
+ * + * string gcs_output_directory = 1; + * + * @param value The bytes for gcsOutputDirectory to set. + * @return This builder for chaining. + */ + public Builder setGcsOutputDirectoryBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + gcsOutputDirectory_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo) + private static final com.google.cloud.automl.v1beta1.ExportModelOperationMetadata + .ExportModelOutputInfo + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = + new com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo(); + } + + public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ExportModelOutputInfo parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ExportModelOutputInfo(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } + } + + public static final int OUTPUT_INFO_FIELD_NUMBER = 2; + private com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + outputInfo_; + /** + * + * + * 
+   * Output only. Information further describing the output of this model
+   * export.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2; + * + * + * @return Whether the outputInfo field is set. + */ + public boolean hasOutputInfo() { + return outputInfo_ != null; + } + /** + * + * + * 
+   * Output only. Information further describing the output of this model
+   * export.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2; + * + * + * @return The outputInfo. + */ + public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + getOutputInfo() { + return outputInfo_ == null + ? com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + .getDefaultInstance() + : outputInfo_; + } + /** + * + * + * 
+   * Output only. Information further describing the output of this model
+   * export.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2; + * + */ + public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfoOrBuilder + getOutputInfoOrBuilder() { + return getOutputInfo(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (outputInfo_ != null) { + output.writeMessage(2, getOutputInfo()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (outputInfo_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getOutputInfo()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ExportModelOperationMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata other = + (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) obj; + + if (hasOutputInfo() != other.hasOutputInfo()) return false; + if (hasOutputInfo()) { + if (!getOutputInfo().equals(other.getOutputInfo())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (hasOutputInfo()) { + hash = (37 * hash) + OUTPUT_INFO_FIELD_NUMBER; + hash = (53 * hash) + getOutputInfo().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Details of ExportModel operation.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ExportModelOperationMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ExportModelOperationMetadata) + com.google.cloud.automl.v1beta1.ExportModelOperationMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.class, + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (outputInfoBuilder_ == null) { + outputInfo_ = null; + } else { + outputInfo_ = null; + outputInfoBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata build() { + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata buildPartial() { + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata result = + new com.google.cloud.automl.v1beta1.ExportModelOperationMetadata(this); + if (outputInfoBuilder_ == null) { + result.outputInfo_ = outputInfo_; + } else { + result.outputInfo_ = outputInfoBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.ExportModelOperationMetadata other) { + if (other + == com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.getDefaultInstance()) + return this; + if (other.hasOutputInfo()) { + mergeOutputInfo(other.getOutputInfo()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + outputInfo_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo, + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + .Builder, + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata + .ExportModelOutputInfoOrBuilder> + outputInfoBuilder_; + /** + * + * + * 
+     * Output only. Information further describing the output of this model
+     * export.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2; + * + * + * @return Whether the outputInfo field is set. + */ + public boolean hasOutputInfo() { + return outputInfoBuilder_ != null || outputInfo_ != null; + } + /** + * + * + * 
+     * Output only. Information further describing the output of this model
+     * export.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2; + * + * + * @return The outputInfo. + */ + public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + getOutputInfo() { + if (outputInfoBuilder_ == null) { + return outputInfo_ == null + ? com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + .getDefaultInstance() + : outputInfo_; + } else { + return outputInfoBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Output only. Information further describing the output of this model
+     * export.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2; + * + */ + public Builder setOutputInfo( + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo value) { + if (outputInfoBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + outputInfo_ = value; + onChanged(); + } else { + outputInfoBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. Information further describing the output of this model
+     * export.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2; + * + */ + public Builder setOutputInfo( + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo.Builder + builderForValue) { + if (outputInfoBuilder_ == null) { + outputInfo_ = builderForValue.build(); + onChanged(); + } else { + outputInfoBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Output only. Information further describing the output of this model
+     * export.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2; + * + */ + public Builder mergeOutputInfo( + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo value) { + if (outputInfoBuilder_ == null) { + if (outputInfo_ != null) { + outputInfo_ = + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + .newBuilder(outputInfo_) + .mergeFrom(value) + .buildPartial(); + } else { + outputInfo_ = value; + } + onChanged(); + } else { + outputInfoBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. Information further describing the output of this model
+     * export.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2; + * + */ + public Builder clearOutputInfo() { + if (outputInfoBuilder_ == null) { + outputInfo_ = null; + onChanged(); + } else { + outputInfo_ = null; + outputInfoBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Output only. Information further describing the output of this model
+     * export.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2; + * + */ + public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + .Builder + getOutputInfoBuilder() { + + onChanged(); + return getOutputInfoFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Output only. Information further describing the output of this model
+     * export.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2; + * + */ + public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata + .ExportModelOutputInfoOrBuilder + getOutputInfoOrBuilder() { + if (outputInfoBuilder_ != null) { + return outputInfoBuilder_.getMessageOrBuilder(); + } else { + return outputInfo_ == null + ? com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + .getDefaultInstance() + : outputInfo_; + } + } + /** + * + * + * 
+     * Output only. Information further describing the output of this model
+     * export.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo, + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + .Builder, + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata + .ExportModelOutputInfoOrBuilder> + getOutputInfoFieldBuilder() { + if (outputInfoBuilder_ == null) { + outputInfoBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo, + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + .Builder, + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata + .ExportModelOutputInfoOrBuilder>( + getOutputInfo(), getParentForChildren(), isClean()); + outputInfo_ = null; + } + return outputInfoBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ExportModelOperationMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ExportModelOperationMetadata) + private static final com.google.cloud.automl.v1beta1.ExportModelOperationMetadata + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ExportModelOperationMetadata(); + } + + public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ExportModelOperationMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ExportModelOperationMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelOperationMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelOperationMetadataOrBuilder.java new file mode 100644 index 000000000..1b0259539 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelOperationMetadataOrBuilder.java @@ -0,0 +1,71 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/operations.proto + +package com.google.cloud.automl.v1beta1; + +public interface ExportModelOperationMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ExportModelOperationMetadata) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Output only. Information further describing the output of this model
+   * export.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2; + * + * + * @return Whether the outputInfo field is set. + */ + boolean hasOutputInfo(); + /** + * + * + * 
+   * Output only. Information further describing the output of this model
+   * export.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2; + * + * + * @return The outputInfo. + */ + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo + getOutputInfo(); + /** + * + * + * 
+   * Output only. Information further describing the output of this model
+   * export.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2; + * + */ + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfoOrBuilder + getOutputInfoOrBuilder(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelRequest.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelRequest.java new file mode 100644 index 000000000..6b37ed75a --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelRequest.java @@ -0,0 +1,956 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel].
+ * Models need to be enabled for exporting, otherwise an error code will be
+ * returned.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ExportModelRequest} + */ +public final class ExportModelRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ExportModelRequest) + ExportModelRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use ExportModelRequest.newBuilder() to construct. + private ExportModelRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ExportModelRequest() { + name_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ExportModelRequest(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ExportModelRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + name_ = s; + break; + } + case 26: + { + com.google.cloud.automl.v1beta1.ModelExportOutputConfig.Builder subBuilder = null; + if (outputConfig_ != null) { + subBuilder = outputConfig_.toBuilder(); + } + outputConfig_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ModelExportOutputConfig.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(outputConfig_); + outputConfig_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ExportModelRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ExportModelRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ExportModelRequest.class, + com.google.cloud.automl.v1beta1.ExportModelRequest.Builder.class); + } + + public static final int NAME_FIELD_NUMBER = 1; + private volatile java.lang.Object name_; + /** + * + * + * 
+   * Required. The resource name of the model to export.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. The resource name of the model to export.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int OUTPUT_CONFIG_FIELD_NUMBER = 3; + private com.google.cloud.automl.v1beta1.ModelExportOutputConfig outputConfig_; + /** + * + * + * 
+   * Required. The desired output location and configuration.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the outputConfig field is set. + */ + public boolean hasOutputConfig() { + return outputConfig_ != null; + } + /** + * + * + * 
+   * Required. The desired output location and configuration.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The outputConfig. + */ + public com.google.cloud.automl.v1beta1.ModelExportOutputConfig getOutputConfig() { + return outputConfig_ == null + ? com.google.cloud.automl.v1beta1.ModelExportOutputConfig.getDefaultInstance() + : outputConfig_; + } + /** + * + * + * 
+   * Required. The desired output location and configuration.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.ModelExportOutputConfigOrBuilder + getOutputConfigOrBuilder() { + return getOutputConfig(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_); + } + if (outputConfig_ != null) { + output.writeMessage(3, getOutputConfig()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_); + } + if (outputConfig_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, getOutputConfig()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ExportModelRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ExportModelRequest other = + (com.google.cloud.automl.v1beta1.ExportModelRequest) obj; + + if (!getName().equals(other.getName())) return false; + if (hasOutputConfig() != other.hasOutputConfig()) return false; + if (hasOutputConfig()) { + if (!getOutputConfig().equals(other.getOutputConfig())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + NAME_FIELD_NUMBER; + hash = (53 * hash) + getName().hashCode(); + if (hasOutputConfig()) { + hash = (37 * hash) + OUTPUT_CONFIG_FIELD_NUMBER; + hash = (53 * hash) + getOutputConfig().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ExportModelRequest parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportModelRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportModelRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportModelRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportModelRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ExportModelRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportModelRequest parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportModelRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportModelRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportModelRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ExportModelRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ExportModelRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.ExportModelRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel].
+   * Models need to be enabled for exporting, otherwise an error code will be
+   * returned.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ExportModelRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ExportModelRequest) + com.google.cloud.automl.v1beta1.ExportModelRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ExportModelRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ExportModelRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ExportModelRequest.class, + com.google.cloud.automl.v1beta1.ExportModelRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.ExportModelRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + name_ = ""; + + if (outputConfigBuilder_ == null) { + outputConfig_ = null; + } else { + outputConfig_ = null; + outputConfigBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ExportModelRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportModelRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ExportModelRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportModelRequest build() { + com.google.cloud.automl.v1beta1.ExportModelRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportModelRequest buildPartial() { + com.google.cloud.automl.v1beta1.ExportModelRequest result = + new com.google.cloud.automl.v1beta1.ExportModelRequest(this); + result.name_ = name_; + if (outputConfigBuilder_ == null) { + result.outputConfig_ = outputConfig_; + } else { + result.outputConfig_ = outputConfigBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ExportModelRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.ExportModelRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.ExportModelRequest other) { + if (other == com.google.cloud.automl.v1beta1.ExportModelRequest.getDefaultInstance()) + return this; + if (!other.getName().isEmpty()) { + name_ = other.name_; + onChanged(); + } + if (other.hasOutputConfig()) { + mergeOutputConfig(other.getOutputConfig()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ExportModelRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ExportModelRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object name_ = ""; + /** + * + * + * 
+     * Required. The resource name of the model to export.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. The resource name of the model to export.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. The resource name of the model to export.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The name to set. + * @return This builder for chaining. + */ + public Builder setName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + name_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The resource name of the model to export.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return This builder for chaining. + */ + public Builder clearName() { + + name_ = getDefaultInstance().getName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The resource name of the model to export.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The bytes for name to set. + * @return This builder for chaining. + */ + public Builder setNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + name_ = value; + onChanged(); + return this; + } + + private com.google.cloud.automl.v1beta1.ModelExportOutputConfig outputConfig_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ModelExportOutputConfig, + com.google.cloud.automl.v1beta1.ModelExportOutputConfig.Builder, + com.google.cloud.automl.v1beta1.ModelExportOutputConfigOrBuilder> + outputConfigBuilder_; + /** + * + * + * 
+     * Required. The desired output location and configuration.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the outputConfig field is set. + */ + public boolean hasOutputConfig() { + return outputConfigBuilder_ != null || outputConfig_ != null; + } + /** + * + * + * 
+     * Required. The desired output location and configuration.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The outputConfig. + */ + public com.google.cloud.automl.v1beta1.ModelExportOutputConfig getOutputConfig() { + if (outputConfigBuilder_ == null) { + return outputConfig_ == null + ? com.google.cloud.automl.v1beta1.ModelExportOutputConfig.getDefaultInstance() + : outputConfig_; + } else { + return outputConfigBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Required. The desired output location and configuration.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder setOutputConfig(com.google.cloud.automl.v1beta1.ModelExportOutputConfig value) { + if (outputConfigBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + outputConfig_ = value; + onChanged(); + } else { + outputConfigBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Required. The desired output location and configuration.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder setOutputConfig( + com.google.cloud.automl.v1beta1.ModelExportOutputConfig.Builder builderForValue) { + if (outputConfigBuilder_ == null) { + outputConfig_ = builderForValue.build(); + onChanged(); + } else { + outputConfigBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Required. The desired output location and configuration.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder mergeOutputConfig( + com.google.cloud.automl.v1beta1.ModelExportOutputConfig value) { + if (outputConfigBuilder_ == null) { + if (outputConfig_ != null) { + outputConfig_ = + com.google.cloud.automl.v1beta1.ModelExportOutputConfig.newBuilder(outputConfig_) + .mergeFrom(value) + .buildPartial(); + } else { + outputConfig_ = value; + } + onChanged(); + } else { + outputConfigBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Required. The desired output location and configuration.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder clearOutputConfig() { + if (outputConfigBuilder_ == null) { + outputConfig_ = null; + onChanged(); + } else { + outputConfig_ = null; + outputConfigBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Required. The desired output location and configuration.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.ModelExportOutputConfig.Builder + getOutputConfigBuilder() { + + onChanged(); + return getOutputConfigFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Required. The desired output location and configuration.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.ModelExportOutputConfigOrBuilder + getOutputConfigOrBuilder() { + if (outputConfigBuilder_ != null) { + return outputConfigBuilder_.getMessageOrBuilder(); + } else { + return outputConfig_ == null + ? com.google.cloud.automl.v1beta1.ModelExportOutputConfig.getDefaultInstance() + : outputConfig_; + } + } + /** + * + * + * 
+     * Required. The desired output location and configuration.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ModelExportOutputConfig, + com.google.cloud.automl.v1beta1.ModelExportOutputConfig.Builder, + com.google.cloud.automl.v1beta1.ModelExportOutputConfigOrBuilder> + getOutputConfigFieldBuilder() { + if (outputConfigBuilder_ == null) { + outputConfigBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ModelExportOutputConfig, + com.google.cloud.automl.v1beta1.ModelExportOutputConfig.Builder, + com.google.cloud.automl.v1beta1.ModelExportOutputConfigOrBuilder>( + getOutputConfig(), getParentForChildren(), isClean()); + outputConfig_ = null; + } + return outputConfigBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ExportModelRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ExportModelRequest) + private static final com.google.cloud.automl.v1beta1.ExportModelRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ExportModelRequest(); + } + + public static com.google.cloud.automl.v1beta1.ExportModelRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ExportModelRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ExportModelRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ExportModelRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelRequestOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelRequestOrBuilder.java new file mode 100644 index 000000000..dfff31450 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelRequestOrBuilder.java @@ -0,0 +1,95 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface ExportModelRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ExportModelRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. The resource name of the model to export.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + java.lang.String getName(); + /** + * + * + * 
+   * Required. The resource name of the model to export.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + com.google.protobuf.ByteString getNameBytes(); + + /** + * + * + * 
+   * Required. The desired output location and configuration.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the outputConfig field is set. + */ + boolean hasOutputConfig(); + /** + * + * + * 
+   * Required. The desired output location and configuration.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The outputConfig. + */ + com.google.cloud.automl.v1beta1.ModelExportOutputConfig getOutputConfig(); + /** + * + * + * 
+   * Required. The desired output location and configuration.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + com.google.cloud.automl.v1beta1.ModelExportOutputConfigOrBuilder getOutputConfigOrBuilder(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Float64Stats.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Float64Stats.java new file mode 100644 index 000000000..c76d6ac99 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Float64Stats.java @@ -0,0 +1,2332 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_stats.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * The data statistics of a series of FLOAT64 values.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.Float64Stats} + */ +public final class Float64Stats extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.Float64Stats) + Float64StatsOrBuilder { + private static final long serialVersionUID = 0L; + // Use Float64Stats.newBuilder() to construct. + private Float64Stats(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private Float64Stats() { + quantiles_ = emptyDoubleList(); + histogramBuckets_ = java.util.Collections.emptyList(); + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new Float64Stats(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private Float64Stats( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 9: + { + mean_ = input.readDouble(); + break; + } + case 17: + { + standardDeviation_ = input.readDouble(); + break; + } + case 25: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + quantiles_ = newDoubleList(); + mutable_bitField0_ |= 0x00000001; + } + quantiles_.addDouble(input.readDouble()); + break; + } + case 26: + { + int length = input.readRawVarint32(); + int limit = input.pushLimit(length); + if (!((mutable_bitField0_ & 0x00000001) != 0) && input.getBytesUntilLimit() > 0) { + quantiles_ = newDoubleList(); + mutable_bitField0_ |= 0x00000001; + } + while (input.getBytesUntilLimit() > 0) { + quantiles_.addDouble(input.readDouble()); + } + input.popLimit(limit); + break; + } + case 34: + { + if (!((mutable_bitField0_ & 0x00000002) != 0)) { + histogramBuckets_ = + new java.util.ArrayList< + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket>(); + mutable_bitField0_ |= 0x00000002; + } + histogramBuckets_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.parser(), + extensionRegistry)); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + quantiles_.makeImmutable(); // C + } + if (((mutable_bitField0_ & 0x00000002) != 0)) { + histogramBuckets_ = java.util.Collections.unmodifiableList(histogramBuckets_); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_Float64Stats_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_Float64Stats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.Float64Stats.class, + com.google.cloud.automl.v1beta1.Float64Stats.Builder.class); + } + + public interface HistogramBucketOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.Float64Stats.HistogramBucket) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+     * The minimum value of the bucket, inclusive.
+     *
+ * + * double min = 1; + * + * @return The min. + */ + double getMin(); + + /** + * + * + * 
+     * The maximum value of the bucket, exclusive unless max = `"Infinity"`, in
+     * which case it's inclusive.
+     *
+ * + * double max = 2; + * + * @return The max. + */ + double getMax(); + + /** + * + * + * 
+     * The number of data values that are in the bucket, i.e. are between
+     * min and max values.
+     *
+ * + * int64 count = 3; + * + * @return The count. + */ + long getCount(); + } + /** + * + * + * 
+   * A bucket of a histogram.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.Float64Stats.HistogramBucket} + */ + public static final class HistogramBucket extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.Float64Stats.HistogramBucket) + HistogramBucketOrBuilder { + private static final long serialVersionUID = 0L; + // Use HistogramBucket.newBuilder() to construct. + private HistogramBucket(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private HistogramBucket() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new HistogramBucket(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private HistogramBucket( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 9: + { + min_ = input.readDouble(); + break; + } + case 17: + { + max_ = input.readDouble(); + break; + } + case 24: + { + count_ = input.readInt64(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_Float64Stats_HistogramBucket_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_Float64Stats_HistogramBucket_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.class, + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder.class); + } + + public static final int MIN_FIELD_NUMBER = 1; + private double min_; + /** + * + * + * 
+     * The minimum value of the bucket, inclusive.
+     *
+ * + * double min = 1; + * + * @return The min. + */ + public double getMin() { + return min_; + } + + public static final int MAX_FIELD_NUMBER = 2; + private double max_; + /** + * + * + * 
+     * The maximum value of the bucket, exclusive unless max = `"Infinity"`, in
+     * which case it's inclusive.
+     *
+ * + * double max = 2; + * + * @return The max. + */ + public double getMax() { + return max_; + } + + public static final int COUNT_FIELD_NUMBER = 3; + private long count_; + /** + * + * + * 
+     * The number of data values that are in the bucket, i.e. are between
+     * min and max values.
+     *
+ * + * int64 count = 3; + * + * @return The count. + */ + public long getCount() { + return count_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (min_ != 0D) { + output.writeDouble(1, min_); + } + if (max_ != 0D) { + output.writeDouble(2, max_); + } + if (count_ != 0L) { + output.writeInt64(3, count_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (min_ != 0D) { + size += com.google.protobuf.CodedOutputStream.computeDoubleSize(1, min_); + } + if (max_ != 0D) { + size += com.google.protobuf.CodedOutputStream.computeDoubleSize(2, max_); + } + if (count_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(3, count_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket other = + (com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket) obj; + + if (java.lang.Double.doubleToLongBits(getMin()) + != java.lang.Double.doubleToLongBits(other.getMin())) return false; + if (java.lang.Double.doubleToLongBits(getMax()) + != java.lang.Double.doubleToLongBits(other.getMax())) return false; + if (getCount() != other.getCount()) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + MIN_FIELD_NUMBER; + hash = + (53 * hash) + + com.google.protobuf.Internal.hashLong(java.lang.Double.doubleToLongBits(getMin())); + hash = (37 * hash) + MAX_FIELD_NUMBER; + hash = + (53 * hash) + + com.google.protobuf.Internal.hashLong(java.lang.Double.doubleToLongBits(getMax())); + hash = (37 * hash) + COUNT_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getCount()); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom( + byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType( + com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+     * A bucket of a histogram.
+     *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.Float64Stats.HistogramBucket} + */ + public static final class Builder + extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.Float64Stats.HistogramBucket) + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_Float64Stats_HistogramBucket_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_Float64Stats_HistogramBucket_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.class, + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + min_ = 0D; + + max_ = 0D; + + count_ = 0L; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_Float64Stats_HistogramBucket_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket build() { + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket buildPartial() { + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket result = + new com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket(this); + result.min_ = min_; + result.max_ = max_; + result.count_ = count_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, + int index, + java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket) { + return mergeFrom((com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket other) { + if (other + == com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.getDefaultInstance()) + return this; + if (other.getMin() != 0D) { + setMin(other.getMin()); + } + if (other.getMax() != 0D) { + setMax(other.getMax()); + } + if (other.getCount() != 0L) { + setCount(other.getCount()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private double min_; + /** + * + * + * 
+       * The minimum value of the bucket, inclusive.
+       *
+ * + * double min = 1; + * + * @return The min. + */ + public double getMin() { + return min_; + } + /** + * + * + * 
+       * The minimum value of the bucket, inclusive.
+       *
+ * + * double min = 1; + * + * @param value The min to set. + * @return This builder for chaining. + */ + public Builder setMin(double value) { + + min_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * The minimum value of the bucket, inclusive.
+       *
+ * + * double min = 1; + * + * @return This builder for chaining. + */ + public Builder clearMin() { + + min_ = 0D; + onChanged(); + return this; + } + + private double max_; + /** + * + * + * 
+       * The maximum value of the bucket, exclusive unless max = `"Infinity"`, in
+       * which case it's inclusive.
+       *
+ * + * double max = 2; + * + * @return The max. + */ + public double getMax() { + return max_; + } + /** + * + * + * 
+       * The maximum value of the bucket, exclusive unless max = `"Infinity"`, in
+       * which case it's inclusive.
+       *
+ * + * double max = 2; + * + * @param value The max to set. + * @return This builder for chaining. + */ + public Builder setMax(double value) { + + max_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * The maximum value of the bucket, exclusive unless max = `"Infinity"`, in
+       * which case it's inclusive.
+       *
+ * + * double max = 2; + * + * @return This builder for chaining. + */ + public Builder clearMax() { + + max_ = 0D; + onChanged(); + return this; + } + + private long count_; + /** + * + * + * 
+       * The number of data values that are in the bucket, i.e. are between
+       * min and max values.
+       *
+ * + * int64 count = 3; + * + * @return The count. + */ + public long getCount() { + return count_; + } + /** + * + * + * 
+       * The number of data values that are in the bucket, i.e. are between
+       * min and max values.
+       *
+ * + * int64 count = 3; + * + * @param value The count to set. + * @return This builder for chaining. + */ + public Builder setCount(long value) { + + count_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * The number of data values that are in the bucket, i.e. are between
+       * min and max values.
+       *
+ * + * int64 count = 3; + * + * @return This builder for chaining. + */ + public Builder clearCount() { + + count_ = 0L; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.Float64Stats.HistogramBucket) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.Float64Stats.HistogramBucket) + private static final com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket(); + } + + public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public HistogramBucket parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new HistogramBucket(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } + } + + public static final int MEAN_FIELD_NUMBER = 1; + private double mean_; + /** + * + * + * 
+   * The mean of the series.
+   *
+ * + * double mean = 1; + * + * @return The mean. + */ + public double getMean() { + return mean_; + } + + public static final int STANDARD_DEVIATION_FIELD_NUMBER = 2; + private double standardDeviation_; + /** + * + * + * 
+   * The standard deviation of the series.
+   *
+ * + * double standard_deviation = 2; + * + * @return The standardDeviation. + */ + public double getStandardDeviation() { + return standardDeviation_; + } + + public static final int QUANTILES_FIELD_NUMBER = 3; + private com.google.protobuf.Internal.DoubleList quantiles_; + /** + * + * + * 
+   * Ordered from 0 to k k-quantile values of the data series of n values.
+   * The value at index i is, approximately, the i*n/k-th smallest value in the
+   * series; for i = 0 and i = k these are, respectively, the min and max
+   * values.
+   *
+ * + * repeated double quantiles = 3; + * + * @return A list containing the quantiles. + */ + public java.util.List getQuantilesList() { + return quantiles_; + } + /** + * + * + * 
+   * Ordered from 0 to k k-quantile values of the data series of n values.
+   * The value at index i is, approximately, the i*n/k-th smallest value in the
+   * series; for i = 0 and i = k these are, respectively, the min and max
+   * values.
+   *
+ * + * repeated double quantiles = 3; + * + * @return The count of quantiles. + */ + public int getQuantilesCount() { + return quantiles_.size(); + } + /** + * + * + * 
+   * Ordered from 0 to k k-quantile values of the data series of n values.
+   * The value at index i is, approximately, the i*n/k-th smallest value in the
+   * series; for i = 0 and i = k these are, respectively, the min and max
+   * values.
+   *
+ * + * repeated double quantiles = 3; + * + * @param index The index of the element to return. + * @return The quantiles at the given index. + */ + public double getQuantiles(int index) { + return quantiles_.getDouble(index); + } + + private int quantilesMemoizedSerializedSize = -1; + + public static final int HISTOGRAM_BUCKETS_FIELD_NUMBER = 4; + private java.util.List + histogramBuckets_; + /** + * + * + * 
+   * Histogram buckets of the data series. Sorted by the min value of the
+   * bucket, ascendingly, and the number of the buckets is dynamically
+   * generated. The buckets are non-overlapping and completely cover whole
+   * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+   * the last one being `"Infinity"`.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + public java.util.List + getHistogramBucketsList() { + return histogramBuckets_; + } + /** + * + * + * 
+   * Histogram buckets of the data series. Sorted by the min value of the
+   * bucket, ascendingly, and the number of the buckets is dynamically
+   * generated. The buckets are non-overlapping and completely cover whole
+   * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+   * the last one being `"Infinity"`.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + public java.util.List< + ? extends com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder> + getHistogramBucketsOrBuilderList() { + return histogramBuckets_; + } + /** + * + * + * 
+   * Histogram buckets of the data series. Sorted by the min value of the
+   * bucket, ascendingly, and the number of the buckets is dynamically
+   * generated. The buckets are non-overlapping and completely cover whole
+   * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+   * the last one being `"Infinity"`.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + public int getHistogramBucketsCount() { + return histogramBuckets_.size(); + } + /** + * + * + * 
+   * Histogram buckets of the data series. Sorted by the min value of the
+   * bucket, ascendingly, and the number of the buckets is dynamically
+   * generated. The buckets are non-overlapping and completely cover whole
+   * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+   * the last one being `"Infinity"`.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket getHistogramBuckets( + int index) { + return histogramBuckets_.get(index); + } + /** + * + * + * 
+   * Histogram buckets of the data series. Sorted by the min value of the
+   * bucket, ascendingly, and the number of the buckets is dynamically
+   * generated. The buckets are non-overlapping and completely cover whole
+   * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+   * the last one being `"Infinity"`.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder + getHistogramBucketsOrBuilder(int index) { + return histogramBuckets_.get(index); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + getSerializedSize(); + if (mean_ != 0D) { + output.writeDouble(1, mean_); + } + if (standardDeviation_ != 0D) { + output.writeDouble(2, standardDeviation_); + } + if (getQuantilesList().size() > 0) { + output.writeUInt32NoTag(26); + output.writeUInt32NoTag(quantilesMemoizedSerializedSize); + } + for (int i = 0; i < quantiles_.size(); i++) { + output.writeDoubleNoTag(quantiles_.getDouble(i)); + } + for (int i = 0; i < histogramBuckets_.size(); i++) { + output.writeMessage(4, histogramBuckets_.get(i)); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (mean_ != 0D) { + size += com.google.protobuf.CodedOutputStream.computeDoubleSize(1, mean_); + } + if (standardDeviation_ != 0D) { + size += com.google.protobuf.CodedOutputStream.computeDoubleSize(2, standardDeviation_); + } + { + int dataSize = 0; + dataSize = 8 * getQuantilesList().size(); + size += dataSize; + if (!getQuantilesList().isEmpty()) { + size += 1; + size += com.google.protobuf.CodedOutputStream.computeInt32SizeNoTag(dataSize); + } + quantilesMemoizedSerializedSize = dataSize; + } + for (int i = 0; i < histogramBuckets_.size(); i++) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, histogramBuckets_.get(i)); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.Float64Stats)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.Float64Stats other = + (com.google.cloud.automl.v1beta1.Float64Stats) obj; + + if (java.lang.Double.doubleToLongBits(getMean()) + != java.lang.Double.doubleToLongBits(other.getMean())) return false; + if (java.lang.Double.doubleToLongBits(getStandardDeviation()) + != java.lang.Double.doubleToLongBits(other.getStandardDeviation())) return false; + if (!getQuantilesList().equals(other.getQuantilesList())) return false; + if (!getHistogramBucketsList().equals(other.getHistogramBucketsList())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + MEAN_FIELD_NUMBER; + hash = + (53 * hash) + + com.google.protobuf.Internal.hashLong(java.lang.Double.doubleToLongBits(getMean())); + hash = (37 * hash) + STANDARD_DEVIATION_FIELD_NUMBER; + hash = + (53 * hash) + + com.google.protobuf.Internal.hashLong( + java.lang.Double.doubleToLongBits(getStandardDeviation())); + if (getQuantilesCount() > 0) { + hash = (37 * hash) + QUANTILES_FIELD_NUMBER; + hash = (53 * hash) + getQuantilesList().hashCode(); + } + if (getHistogramBucketsCount() > 0) { + hash = (37 * hash) + HISTOGRAM_BUCKETS_FIELD_NUMBER; + hash = (53 * hash) + getHistogramBucketsList().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Float64Stats parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.Float64Stats parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.Float64Stats prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * The data statistics of a series of FLOAT64 values.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.Float64Stats} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.Float64Stats) + com.google.cloud.automl.v1beta1.Float64StatsOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_Float64Stats_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_Float64Stats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.Float64Stats.class, + com.google.cloud.automl.v1beta1.Float64Stats.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.Float64Stats.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getHistogramBucketsFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + mean_ = 0D; + + standardDeviation_ = 0D; + + quantiles_ = emptyDoubleList(); + bitField0_ = (bitField0_ & ~0x00000001); + if (histogramBucketsBuilder_ == null) { + histogramBuckets_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000002); + } else { + histogramBucketsBuilder_.clear(); + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_Float64Stats_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Float64Stats getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.Float64Stats.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Float64Stats build() { + com.google.cloud.automl.v1beta1.Float64Stats result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Float64Stats buildPartial() { + com.google.cloud.automl.v1beta1.Float64Stats result = + new com.google.cloud.automl.v1beta1.Float64Stats(this); + int from_bitField0_ = bitField0_; + result.mean_ = mean_; + result.standardDeviation_ = standardDeviation_; + if (((bitField0_ & 0x00000001) != 0)) { + quantiles_.makeImmutable(); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.quantiles_ = quantiles_; + if (histogramBucketsBuilder_ == null) { + if (((bitField0_ & 0x00000002) != 0)) { + histogramBuckets_ = java.util.Collections.unmodifiableList(histogramBuckets_); + bitField0_ = (bitField0_ & ~0x00000002); + } + result.histogramBuckets_ = histogramBuckets_; + } else { + result.histogramBuckets_ = histogramBucketsBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.Float64Stats) { + return mergeFrom((com.google.cloud.automl.v1beta1.Float64Stats) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.Float64Stats other) { + if (other == com.google.cloud.automl.v1beta1.Float64Stats.getDefaultInstance()) return this; + if (other.getMean() != 0D) { + setMean(other.getMean()); + } + if (other.getStandardDeviation() != 0D) { + setStandardDeviation(other.getStandardDeviation()); + } + if (!other.quantiles_.isEmpty()) { + if (quantiles_.isEmpty()) { + quantiles_ = other.quantiles_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensureQuantilesIsMutable(); + quantiles_.addAll(other.quantiles_); + } + onChanged(); + } + if (histogramBucketsBuilder_ == null) { + if (!other.histogramBuckets_.isEmpty()) { + if (histogramBuckets_.isEmpty()) { + histogramBuckets_ = other.histogramBuckets_; + bitField0_ = (bitField0_ & ~0x00000002); + } else { + ensureHistogramBucketsIsMutable(); + histogramBuckets_.addAll(other.histogramBuckets_); + } + onChanged(); + } + } else { + if (!other.histogramBuckets_.isEmpty()) { + if (histogramBucketsBuilder_.isEmpty()) { + histogramBucketsBuilder_.dispose(); + histogramBucketsBuilder_ = null; + histogramBuckets_ = other.histogramBuckets_; + bitField0_ = (bitField0_ & ~0x00000002); + histogramBucketsBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getHistogramBucketsFieldBuilder() + : null; + } else { + histogramBucketsBuilder_.addAllMessages(other.histogramBuckets_); + } + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.Float64Stats parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.Float64Stats) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private double mean_; + /** + * + * + * 
+     * The mean of the series.
+     *
+ * + * double mean = 1; + * + * @return The mean. + */ + public double getMean() { + return mean_; + } + /** + * + * + * 
+     * The mean of the series.
+     *
+ * + * double mean = 1; + * + * @param value The mean to set. + * @return This builder for chaining. + */ + public Builder setMean(double value) { + + mean_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * The mean of the series.
+     *
+ * + * double mean = 1; + * + * @return This builder for chaining. + */ + public Builder clearMean() { + + mean_ = 0D; + onChanged(); + return this; + } + + private double standardDeviation_; + /** + * + * + * 
+     * The standard deviation of the series.
+     *
+ * + * double standard_deviation = 2; + * + * @return The standardDeviation. + */ + public double getStandardDeviation() { + return standardDeviation_; + } + /** + * + * + * 
+     * The standard deviation of the series.
+     *
+ * + * double standard_deviation = 2; + * + * @param value The standardDeviation to set. + * @return This builder for chaining. + */ + public Builder setStandardDeviation(double value) { + + standardDeviation_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * The standard deviation of the series.
+     *
+ * + * double standard_deviation = 2; + * + * @return This builder for chaining. + */ + public Builder clearStandardDeviation() { + + standardDeviation_ = 0D; + onChanged(); + return this; + } + + private com.google.protobuf.Internal.DoubleList quantiles_ = emptyDoubleList(); + + private void ensureQuantilesIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + quantiles_ = mutableCopy(quantiles_); + bitField0_ |= 0x00000001; + } + } + /** + * + * + * 
+     * Ordered from 0 to k k-quantile values of the data series of n values.
+     * The value at index i is, approximately, the i*n/k-th smallest value in the
+     * series; for i = 0 and i = k these are, respectively, the min and max
+     * values.
+     *
+ * + * repeated double quantiles = 3; + * + * @return A list containing the quantiles. + */ + public java.util.List getQuantilesList() { + return ((bitField0_ & 0x00000001) != 0) + ? java.util.Collections.unmodifiableList(quantiles_) + : quantiles_; + } + /** + * + * + * 
+     * Ordered from 0 to k k-quantile values of the data series of n values.
+     * The value at index i is, approximately, the i*n/k-th smallest value in the
+     * series; for i = 0 and i = k these are, respectively, the min and max
+     * values.
+     *
+ * + * repeated double quantiles = 3; + * + * @return The count of quantiles. + */ + public int getQuantilesCount() { + return quantiles_.size(); + } + /** + * + * + * 
+     * Ordered from 0 to k k-quantile values of the data series of n values.
+     * The value at index i is, approximately, the i*n/k-th smallest value in the
+     * series; for i = 0 and i = k these are, respectively, the min and max
+     * values.
+     *
+ * + * repeated double quantiles = 3; + * + * @param index The index of the element to return. + * @return The quantiles at the given index. + */ + public double getQuantiles(int index) { + return quantiles_.getDouble(index); + } + /** + * + * + * 
+     * Ordered from 0 to k k-quantile values of the data series of n values.
+     * The value at index i is, approximately, the i*n/k-th smallest value in the
+     * series; for i = 0 and i = k these are, respectively, the min and max
+     * values.
+     *
+ * + * repeated double quantiles = 3; + * + * @param index The index to set the value at. + * @param value The quantiles to set. + * @return This builder for chaining. + */ + public Builder setQuantiles(int index, double value) { + ensureQuantilesIsMutable(); + quantiles_.setDouble(index, value); + onChanged(); + return this; + } + /** + * + * + * 
+     * Ordered from 0 to k k-quantile values of the data series of n values.
+     * The value at index i is, approximately, the i*n/k-th smallest value in the
+     * series; for i = 0 and i = k these are, respectively, the min and max
+     * values.
+     *
+ * + * repeated double quantiles = 3; + * + * @param value The quantiles to add. + * @return This builder for chaining. + */ + public Builder addQuantiles(double value) { + ensureQuantilesIsMutable(); + quantiles_.addDouble(value); + onChanged(); + return this; + } + /** + * + * + * 
+     * Ordered from 0 to k k-quantile values of the data series of n values.
+     * The value at index i is, approximately, the i*n/k-th smallest value in the
+     * series; for i = 0 and i = k these are, respectively, the min and max
+     * values.
+     *
+ * + * repeated double quantiles = 3; + * + * @param values The quantiles to add. + * @return This builder for chaining. + */ + public Builder addAllQuantiles(java.lang.Iterable values) { + ensureQuantilesIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, quantiles_); + onChanged(); + return this; + } + /** + * + * + * 
+     * Ordered from 0 to k k-quantile values of the data series of n values.
+     * The value at index i is, approximately, the i*n/k-th smallest value in the
+     * series; for i = 0 and i = k these are, respectively, the min and max
+     * values.
+     *
+ * + * repeated double quantiles = 3; + * + * @return This builder for chaining. + */ + public Builder clearQuantiles() { + quantiles_ = emptyDoubleList(); + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + return this; + } + + private java.util.List + histogramBuckets_ = java.util.Collections.emptyList(); + + private void ensureHistogramBucketsIsMutable() { + if (!((bitField0_ & 0x00000002) != 0)) { + histogramBuckets_ = + new java.util.ArrayList( + histogramBuckets_); + bitField0_ |= 0x00000002; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket, + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder, + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder> + histogramBucketsBuilder_; + + /** + * + * + * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + public java.util.List + getHistogramBucketsList() { + if (histogramBucketsBuilder_ == null) { + return java.util.Collections.unmodifiableList(histogramBuckets_); + } else { + return histogramBucketsBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + public int getHistogramBucketsCount() { + if (histogramBucketsBuilder_ == null) { + return histogramBuckets_.size(); + } else { + return histogramBucketsBuilder_.getCount(); + } + } + /** + * + * + * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket getHistogramBuckets( + int index) { + if (histogramBucketsBuilder_ == null) { + return histogramBuckets_.get(index); + } else { + return histogramBucketsBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + public Builder setHistogramBuckets( + int index, com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket value) { + if (histogramBucketsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureHistogramBucketsIsMutable(); + histogramBuckets_.set(index, value); + onChanged(); + } else { + histogramBucketsBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + public Builder setHistogramBuckets( + int index, + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder builderForValue) { + if (histogramBucketsBuilder_ == null) { + ensureHistogramBucketsIsMutable(); + histogramBuckets_.set(index, builderForValue.build()); + onChanged(); + } else { + histogramBucketsBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + public Builder addHistogramBuckets( + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket value) { + if (histogramBucketsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureHistogramBucketsIsMutable(); + histogramBuckets_.add(value); + onChanged(); + } else { + histogramBucketsBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + public Builder addHistogramBuckets( + int index, com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket value) { + if (histogramBucketsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureHistogramBucketsIsMutable(); + histogramBuckets_.add(index, value); + onChanged(); + } else { + histogramBucketsBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + public Builder addHistogramBuckets( + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder builderForValue) { + if (histogramBucketsBuilder_ == null) { + ensureHistogramBucketsIsMutable(); + histogramBuckets_.add(builderForValue.build()); + onChanged(); + } else { + histogramBucketsBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + public Builder addHistogramBuckets( + int index, + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder builderForValue) { + if (histogramBucketsBuilder_ == null) { + ensureHistogramBucketsIsMutable(); + histogramBuckets_.add(index, builderForValue.build()); + onChanged(); + } else { + histogramBucketsBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + public Builder addAllHistogramBuckets( + java.lang.Iterable + values) { + if (histogramBucketsBuilder_ == null) { + ensureHistogramBucketsIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, histogramBuckets_); + onChanged(); + } else { + histogramBucketsBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + public Builder clearHistogramBuckets() { + if (histogramBucketsBuilder_ == null) { + histogramBuckets_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000002); + onChanged(); + } else { + histogramBucketsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + public Builder removeHistogramBuckets(int index) { + if (histogramBucketsBuilder_ == null) { + ensureHistogramBucketsIsMutable(); + histogramBuckets_.remove(index); + onChanged(); + } else { + histogramBucketsBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder + getHistogramBucketsBuilder(int index) { + return getHistogramBucketsFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder + getHistogramBucketsOrBuilder(int index) { + if (histogramBucketsBuilder_ == null) { + return histogramBuckets_.get(index); + } else { + return histogramBucketsBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + public java.util.List< + ? extends com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder> + getHistogramBucketsOrBuilderList() { + if (histogramBucketsBuilder_ != null) { + return histogramBucketsBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(histogramBuckets_); + } + } + /** + * + * + * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder + addHistogramBucketsBuilder() { + return getHistogramBucketsFieldBuilder() + .addBuilder( + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.getDefaultInstance()); + } + /** + * + * + * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder + addHistogramBucketsBuilder(int index) { + return getHistogramBucketsFieldBuilder() + .addBuilder( + index, + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.getDefaultInstance()); + } + /** + * + * + * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + public java.util.List + getHistogramBucketsBuilderList() { + return getHistogramBucketsFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket, + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder, + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder> + getHistogramBucketsFieldBuilder() { + if (histogramBucketsBuilder_ == null) { + histogramBucketsBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket, + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder, + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder>( + histogramBuckets_, + ((bitField0_ & 0x00000002) != 0), + getParentForChildren(), + isClean()); + histogramBuckets_ = null; + } + return histogramBucketsBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.Float64Stats) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.Float64Stats) + private static final com.google.cloud.automl.v1beta1.Float64Stats DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.Float64Stats(); + } + + public static com.google.cloud.automl.v1beta1.Float64Stats getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public Float64Stats parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new Float64Stats(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Float64Stats getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Float64StatsOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Float64StatsOrBuilder.java new file mode 100644 index 000000000..d10104ccc --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Float64StatsOrBuilder.java @@ -0,0 +1,177 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_stats.proto + +package com.google.cloud.automl.v1beta1; + +public interface Float64StatsOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.Float64Stats) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * The mean of the series.
+   *
+ * + * double mean = 1; + * + * @return The mean. + */ + double getMean(); + + /** + * + * + * 
+   * The standard deviation of the series.
+   *
+ * + * double standard_deviation = 2; + * + * @return The standardDeviation. + */ + double getStandardDeviation(); + + /** + * + * + * 
+   * Ordered from 0 to k k-quantile values of the data series of n values.
+   * The value at index i is, approximately, the i*n/k-th smallest value in the
+   * series; for i = 0 and i = k these are, respectively, the min and max
+   * values.
+   *
+ * + * repeated double quantiles = 3; + * + * @return A list containing the quantiles. + */ + java.util.List getQuantilesList(); + /** + * + * + * 
+   * Ordered from 0 to k k-quantile values of the data series of n values.
+   * The value at index i is, approximately, the i*n/k-th smallest value in the
+   * series; for i = 0 and i = k these are, respectively, the min and max
+   * values.
+   *
+ * + * repeated double quantiles = 3; + * + * @return The count of quantiles. + */ + int getQuantilesCount(); + /** + * + * + * 
+   * Ordered from 0 to k k-quantile values of the data series of n values.
+   * The value at index i is, approximately, the i*n/k-th smallest value in the
+   * series; for i = 0 and i = k these are, respectively, the min and max
+   * values.
+   *
+ * + * repeated double quantiles = 3; + * + * @param index The index of the element to return. + * @return The quantiles at the given index. + */ + double getQuantiles(int index); + + /** + * + * + * 
+   * Histogram buckets of the data series. Sorted by the min value of the
+   * bucket, ascendingly, and the number of the buckets is dynamically
+   * generated. The buckets are non-overlapping and completely cover whole
+   * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+   * the last one being `"Infinity"`.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + java.util.List + getHistogramBucketsList(); + /** + * + * + * 
+   * Histogram buckets of the data series. Sorted by the min value of the
+   * bucket, ascendingly, and the number of the buckets is dynamically
+   * generated. The buckets are non-overlapping and completely cover whole
+   * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+   * the last one being `"Infinity"`.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket getHistogramBuckets(int index); + /** + * + * + * 
+   * Histogram buckets of the data series. Sorted by the min value of the
+   * bucket, ascendingly, and the number of the buckets is dynamically
+   * generated. The buckets are non-overlapping and completely cover whole
+   * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+   * the last one being `"Infinity"`.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + int getHistogramBucketsCount(); + /** + * + * + * 
+   * Histogram buckets of the data series. Sorted by the min value of the
+   * bucket, ascendingly, and the number of the buckets is dynamically
+   * generated. The buckets are non-overlapping and completely cover whole
+   * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+   * the last one being `"Infinity"`.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + java.util.List + getHistogramBucketsOrBuilderList(); + /** + * + * + * 
+   * Histogram buckets of the data series. Sorted by the min value of the
+   * bucket, ascendingly, and the number of the buckets is dynamically
+   * generated. The buckets are non-overlapping and completely cover whole
+   * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+   * the last one being `"Infinity"`.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4; + * + */ + com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder + getHistogramBucketsOrBuilder(int index); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcrDestination.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcrDestination.java new file mode 100644 index 000000000..820249639 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcrDestination.java @@ -0,0 +1,688 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/io.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * The GCR location where the image must be pushed to.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.GcrDestination} + */ +public final class GcrDestination extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.GcrDestination) + GcrDestinationOrBuilder { + private static final long serialVersionUID = 0L; + // Use GcrDestination.newBuilder() to construct. + private GcrDestination(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private GcrDestination() { + outputUri_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new GcrDestination(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private GcrDestination( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + outputUri_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_GcrDestination_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_GcrDestination_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.GcrDestination.class, + com.google.cloud.automl.v1beta1.GcrDestination.Builder.class); + } + + public static final int OUTPUT_URI_FIELD_NUMBER = 1; + private volatile java.lang.Object outputUri_; + /** + * + * + * 
+   * Required. Google Contained Registry URI of the new image, up to 2000
+   * characters long. See
+   * https:
+   * //cloud.google.com/container-registry/do
+   * // cs/pushing-and-pulling#pushing_an_image_to_a_registry
+   * Accepted forms:
+   * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]
+   * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]:[TAG]
+   * The requesting user must have permission to push images the project.
+   *
+ * + * string output_uri = 1; + * + * @return The outputUri. + */ + public java.lang.String getOutputUri() { + java.lang.Object ref = outputUri_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + outputUri_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. Google Contained Registry URI of the new image, up to 2000
+   * characters long. See
+   * https:
+   * //cloud.google.com/container-registry/do
+   * // cs/pushing-and-pulling#pushing_an_image_to_a_registry
+   * Accepted forms:
+   * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]
+   * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]:[TAG]
+   * The requesting user must have permission to push images the project.
+   *
+ * + * string output_uri = 1; + * + * @return The bytes for outputUri. + */ + public com.google.protobuf.ByteString getOutputUriBytes() { + java.lang.Object ref = outputUri_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + outputUri_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getOutputUriBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, outputUri_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getOutputUriBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, outputUri_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.GcrDestination)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.GcrDestination other = + (com.google.cloud.automl.v1beta1.GcrDestination) obj; + + if (!getOutputUri().equals(other.getOutputUri())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + OUTPUT_URI_FIELD_NUMBER; + hash = (53 * hash) + getOutputUri().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.GcrDestination parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.GcrDestination parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GcrDestination parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.GcrDestination parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GcrDestination parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.GcrDestination parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GcrDestination parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.GcrDestination parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GcrDestination parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.GcrDestination parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GcrDestination parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.GcrDestination parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.GcrDestination prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * The GCR location where the image must be pushed to.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.GcrDestination} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.GcrDestination) + com.google.cloud.automl.v1beta1.GcrDestinationOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_GcrDestination_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_GcrDestination_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.GcrDestination.class, + com.google.cloud.automl.v1beta1.GcrDestination.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.GcrDestination.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + outputUri_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_GcrDestination_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GcrDestination getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.GcrDestination.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GcrDestination build() { + com.google.cloud.automl.v1beta1.GcrDestination result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GcrDestination buildPartial() { + com.google.cloud.automl.v1beta1.GcrDestination result = + new com.google.cloud.automl.v1beta1.GcrDestination(this); + result.outputUri_ = outputUri_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.GcrDestination) { + return mergeFrom((com.google.cloud.automl.v1beta1.GcrDestination) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.GcrDestination other) { + if (other == com.google.cloud.automl.v1beta1.GcrDestination.getDefaultInstance()) return this; + if (!other.getOutputUri().isEmpty()) { + outputUri_ = other.outputUri_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.GcrDestination parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.GcrDestination) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object outputUri_ = ""; + /** + * + * + * 
+     * Required. Google Contained Registry URI of the new image, up to 2000
+     * characters long. See
+     * https:
+     * //cloud.google.com/container-registry/do
+     * // cs/pushing-and-pulling#pushing_an_image_to_a_registry
+     * Accepted forms:
+     * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]
+     * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]:[TAG]
+     * The requesting user must have permission to push images the project.
+     *
+ * + * string output_uri = 1; + * + * @return The outputUri. + */ + public java.lang.String getOutputUri() { + java.lang.Object ref = outputUri_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + outputUri_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. Google Contained Registry URI of the new image, up to 2000
+     * characters long. See
+     * https:
+     * //cloud.google.com/container-registry/do
+     * // cs/pushing-and-pulling#pushing_an_image_to_a_registry
+     * Accepted forms:
+     * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]
+     * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]:[TAG]
+     * The requesting user must have permission to push images the project.
+     *
+ * + * string output_uri = 1; + * + * @return The bytes for outputUri. + */ + public com.google.protobuf.ByteString getOutputUriBytes() { + java.lang.Object ref = outputUri_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + outputUri_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. Google Contained Registry URI of the new image, up to 2000
+     * characters long. See
+     * https:
+     * //cloud.google.com/container-registry/do
+     * // cs/pushing-and-pulling#pushing_an_image_to_a_registry
+     * Accepted forms:
+     * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]
+     * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]:[TAG]
+     * The requesting user must have permission to push images the project.
+     *
+ * + * string output_uri = 1; + * + * @param value The outputUri to set. + * @return This builder for chaining. + */ + public Builder setOutputUri(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + outputUri_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Google Contained Registry URI of the new image, up to 2000
+     * characters long. See
+     * https:
+     * //cloud.google.com/container-registry/do
+     * // cs/pushing-and-pulling#pushing_an_image_to_a_registry
+     * Accepted forms:
+     * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]
+     * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]:[TAG]
+     * The requesting user must have permission to push images the project.
+     *
+ * + * string output_uri = 1; + * + * @return This builder for chaining. + */ + public Builder clearOutputUri() { + + outputUri_ = getDefaultInstance().getOutputUri(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Google Contained Registry URI of the new image, up to 2000
+     * characters long. See
+     * https:
+     * //cloud.google.com/container-registry/do
+     * // cs/pushing-and-pulling#pushing_an_image_to_a_registry
+     * Accepted forms:
+     * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]
+     * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]:[TAG]
+     * The requesting user must have permission to push images the project.
+     *
+ * + * string output_uri = 1; + * + * @param value The bytes for outputUri to set. + * @return This builder for chaining. + */ + public Builder setOutputUriBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + outputUri_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.GcrDestination) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.GcrDestination) + private static final com.google.cloud.automl.v1beta1.GcrDestination DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.GcrDestination(); + } + + public static com.google.cloud.automl.v1beta1.GcrDestination getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public GcrDestination parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new GcrDestination(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GcrDestination getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcrDestinationOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcrDestinationOrBuilder.java new file mode 100644 index 000000000..f5a9b28e2 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcrDestinationOrBuilder.java @@ -0,0 +1,66 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/io.proto + +package com.google.cloud.automl.v1beta1; + +public interface GcrDestinationOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.GcrDestination) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. Google Contained Registry URI of the new image, up to 2000
+   * characters long. See
+   * https:
+   * //cloud.google.com/container-registry/do
+   * // cs/pushing-and-pulling#pushing_an_image_to_a_registry
+   * Accepted forms:
+   * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]
+   * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]:[TAG]
+   * The requesting user must have permission to push images the project.
+   *
+ * + * string output_uri = 1; + * + * @return The outputUri. + */ + java.lang.String getOutputUri(); + /** + * + * + * 
+   * Required. Google Contained Registry URI of the new image, up to 2000
+   * characters long. See
+   * https:
+   * //cloud.google.com/container-registry/do
+   * // cs/pushing-and-pulling#pushing_an_image_to_a_registry
+   * Accepted forms:
+   * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]
+   * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]:[TAG]
+   * The requesting user must have permission to push images the project.
+   *
+ * + * string output_uri = 1; + * + * @return The bytes for outputUri. + */ + com.google.protobuf.ByteString getOutputUriBytes(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcsDestination.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcsDestination.java new file mode 100644 index 000000000..6f0d4c928 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcsDestination.java @@ -0,0 +1,667 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/io.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * The Google Cloud Storage location where the output is to be written to.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.GcsDestination} + */ +public final class GcsDestination extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.GcsDestination) + GcsDestinationOrBuilder { + private static final long serialVersionUID = 0L; + // Use GcsDestination.newBuilder() to construct. + private GcsDestination(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private GcsDestination() { + outputUriPrefix_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new GcsDestination(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private GcsDestination( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + outputUriPrefix_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_GcsDestination_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_GcsDestination_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.GcsDestination.class, + com.google.cloud.automl.v1beta1.GcsDestination.Builder.class); + } + + public static final int OUTPUT_URI_PREFIX_FIELD_NUMBER = 1; + private volatile java.lang.Object outputUriPrefix_; + /** + * + * + * 
+   * Required. Google Cloud Storage URI to output directory, up to 2000
+   * characters long.
+   * Accepted forms:
+   * * Prefix path: gs://bucket/directory
+   * The requesting user must have write permission to the bucket.
+   * The directory is created if it doesn't exist.
+   *
+ * + * string output_uri_prefix = 1; + * + * @return The outputUriPrefix. + */ + public java.lang.String getOutputUriPrefix() { + java.lang.Object ref = outputUriPrefix_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + outputUriPrefix_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. Google Cloud Storage URI to output directory, up to 2000
+   * characters long.
+   * Accepted forms:
+   * * Prefix path: gs://bucket/directory
+   * The requesting user must have write permission to the bucket.
+   * The directory is created if it doesn't exist.
+   *
+ * + * string output_uri_prefix = 1; + * + * @return The bytes for outputUriPrefix. + */ + public com.google.protobuf.ByteString getOutputUriPrefixBytes() { + java.lang.Object ref = outputUriPrefix_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + outputUriPrefix_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getOutputUriPrefixBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, outputUriPrefix_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getOutputUriPrefixBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, outputUriPrefix_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.GcsDestination)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.GcsDestination other = + (com.google.cloud.automl.v1beta1.GcsDestination) obj; + + if (!getOutputUriPrefix().equals(other.getOutputUriPrefix())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + OUTPUT_URI_PREFIX_FIELD_NUMBER; + hash = (53 * hash) + getOutputUriPrefix().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.GcsDestination parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.GcsDestination parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GcsDestination parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.GcsDestination parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GcsDestination parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.GcsDestination parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GcsDestination parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.GcsDestination parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GcsDestination parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.GcsDestination parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GcsDestination parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.GcsDestination parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.GcsDestination prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * The Google Cloud Storage location where the output is to be written to.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.GcsDestination} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.GcsDestination) + com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_GcsDestination_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_GcsDestination_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.GcsDestination.class, + com.google.cloud.automl.v1beta1.GcsDestination.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.GcsDestination.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + outputUriPrefix_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_GcsDestination_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GcsDestination getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GcsDestination build() { + com.google.cloud.automl.v1beta1.GcsDestination result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GcsDestination buildPartial() { + com.google.cloud.automl.v1beta1.GcsDestination result = + new com.google.cloud.automl.v1beta1.GcsDestination(this); + result.outputUriPrefix_ = outputUriPrefix_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.GcsDestination) { + return mergeFrom((com.google.cloud.automl.v1beta1.GcsDestination) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.GcsDestination other) { + if (other == com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance()) return this; + if (!other.getOutputUriPrefix().isEmpty()) { + outputUriPrefix_ = other.outputUriPrefix_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.GcsDestination parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.GcsDestination) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object outputUriPrefix_ = ""; + /** + * + * + * 
+     * Required. Google Cloud Storage URI to output directory, up to 2000
+     * characters long.
+     * Accepted forms:
+     * * Prefix path: gs://bucket/directory
+     * The requesting user must have write permission to the bucket.
+     * The directory is created if it doesn't exist.
+     *
+ * + * string output_uri_prefix = 1; + * + * @return The outputUriPrefix. + */ + public java.lang.String getOutputUriPrefix() { + java.lang.Object ref = outputUriPrefix_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + outputUriPrefix_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. Google Cloud Storage URI to output directory, up to 2000
+     * characters long.
+     * Accepted forms:
+     * * Prefix path: gs://bucket/directory
+     * The requesting user must have write permission to the bucket.
+     * The directory is created if it doesn't exist.
+     *
+ * + * string output_uri_prefix = 1; + * + * @return The bytes for outputUriPrefix. + */ + public com.google.protobuf.ByteString getOutputUriPrefixBytes() { + java.lang.Object ref = outputUriPrefix_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + outputUriPrefix_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. Google Cloud Storage URI to output directory, up to 2000
+     * characters long.
+     * Accepted forms:
+     * * Prefix path: gs://bucket/directory
+     * The requesting user must have write permission to the bucket.
+     * The directory is created if it doesn't exist.
+     *
+ * + * string output_uri_prefix = 1; + * + * @param value The outputUriPrefix to set. + * @return This builder for chaining. + */ + public Builder setOutputUriPrefix(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + outputUriPrefix_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Google Cloud Storage URI to output directory, up to 2000
+     * characters long.
+     * Accepted forms:
+     * * Prefix path: gs://bucket/directory
+     * The requesting user must have write permission to the bucket.
+     * The directory is created if it doesn't exist.
+     *
+ * + * string output_uri_prefix = 1; + * + * @return This builder for chaining. + */ + public Builder clearOutputUriPrefix() { + + outputUriPrefix_ = getDefaultInstance().getOutputUriPrefix(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Google Cloud Storage URI to output directory, up to 2000
+     * characters long.
+     * Accepted forms:
+     * * Prefix path: gs://bucket/directory
+     * The requesting user must have write permission to the bucket.
+     * The directory is created if it doesn't exist.
+     *
+ * + * string output_uri_prefix = 1; + * + * @param value The bytes for outputUriPrefix to set. + * @return This builder for chaining. + */ + public Builder setOutputUriPrefixBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + outputUriPrefix_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.GcsDestination) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.GcsDestination) + private static final com.google.cloud.automl.v1beta1.GcsDestination DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.GcsDestination(); + } + + public static com.google.cloud.automl.v1beta1.GcsDestination getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public GcsDestination parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new GcsDestination(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GcsDestination getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcsDestinationOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcsDestinationOrBuilder.java new file mode 100644 index 000000000..694f7419c --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcsDestinationOrBuilder.java @@ -0,0 +1,60 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/io.proto + +package com.google.cloud.automl.v1beta1; + +public interface GcsDestinationOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.GcsDestination) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. Google Cloud Storage URI to output directory, up to 2000
+   * characters long.
+   * Accepted forms:
+   * * Prefix path: gs://bucket/directory
+   * The requesting user must have write permission to the bucket.
+   * The directory is created if it doesn't exist.
+   *
+ * + * string output_uri_prefix = 1; + * + * @return The outputUriPrefix. + */ + java.lang.String getOutputUriPrefix(); + /** + * + * + * 
+   * Required. Google Cloud Storage URI to output directory, up to 2000
+   * characters long.
+   * Accepted forms:
+   * * Prefix path: gs://bucket/directory
+   * The requesting user must have write permission to the bucket.
+   * The directory is created if it doesn't exist.
+   *
+ * + * string output_uri_prefix = 1; + * + * @return The bytes for outputUriPrefix. + */ + com.google.protobuf.ByteString getOutputUriPrefixBytes(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcsSource.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcsSource.java new file mode 100644 index 000000000..84f097c47 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcsSource.java @@ -0,0 +1,761 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/io.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * The Google Cloud Storage location for the input content.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.GcsSource} + */ +public final class GcsSource extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.GcsSource) + GcsSourceOrBuilder { + private static final long serialVersionUID = 0L; + // Use GcsSource.newBuilder() to construct. + private GcsSource(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private GcsSource() { + inputUris_ = com.google.protobuf.LazyStringArrayList.EMPTY; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new GcsSource(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private GcsSource( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + inputUris_ = new com.google.protobuf.LazyStringArrayList(); + mutable_bitField0_ |= 0x00000001; + } + inputUris_.add(s); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + inputUris_ = inputUris_.getUnmodifiableView(); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_GcsSource_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_GcsSource_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.GcsSource.class, + com.google.cloud.automl.v1beta1.GcsSource.Builder.class); + } + + public static final int INPUT_URIS_FIELD_NUMBER = 1; + private com.google.protobuf.LazyStringList inputUris_; + /** + * + * + * 
+   * Required. Google Cloud Storage URIs to input files, up to 2000 characters
+   * long. Accepted forms:
+   * * Full object path, e.g. gs://bucket/directory/object.csv
+   *
+ * + * repeated string input_uris = 1; + * + * @return A list containing the inputUris. + */ + public com.google.protobuf.ProtocolStringList getInputUrisList() { + return inputUris_; + } + /** + * + * + * 
+   * Required. Google Cloud Storage URIs to input files, up to 2000 characters
+   * long. Accepted forms:
+   * * Full object path, e.g. gs://bucket/directory/object.csv
+   *
+ * + * repeated string input_uris = 1; + * + * @return The count of inputUris. + */ + public int getInputUrisCount() { + return inputUris_.size(); + } + /** + * + * + * 
+   * Required. Google Cloud Storage URIs to input files, up to 2000 characters
+   * long. Accepted forms:
+   * * Full object path, e.g. gs://bucket/directory/object.csv
+   *
+ * + * repeated string input_uris = 1; + * + * @param index The index of the element to return. + * @return The inputUris at the given index. + */ + public java.lang.String getInputUris(int index) { + return inputUris_.get(index); + } + /** + * + * + * 
+   * Required. Google Cloud Storage URIs to input files, up to 2000 characters
+   * long. Accepted forms:
+   * * Full object path, e.g. gs://bucket/directory/object.csv
+   *
+ * + * repeated string input_uris = 1; + * + * @param index The index of the value to return. + * @return The bytes of the inputUris at the given index. + */ + public com.google.protobuf.ByteString getInputUrisBytes(int index) { + return inputUris_.getByteString(index); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + for (int i = 0; i < inputUris_.size(); i++) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, inputUris_.getRaw(i)); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + { + int dataSize = 0; + for (int i = 0; i < inputUris_.size(); i++) { + dataSize += computeStringSizeNoTag(inputUris_.getRaw(i)); + } + size += dataSize; + size += 1 * getInputUrisList().size(); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.GcsSource)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.GcsSource other = + (com.google.cloud.automl.v1beta1.GcsSource) obj; + + if (!getInputUrisList().equals(other.getInputUrisList())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (getInputUrisCount() > 0) { + hash = (37 * hash) + INPUT_URIS_FIELD_NUMBER; + hash = (53 * hash) + getInputUrisList().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.GcsSource parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.GcsSource parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GcsSource parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.GcsSource parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GcsSource parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.GcsSource parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GcsSource parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.GcsSource parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GcsSource parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.GcsSource parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GcsSource parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.GcsSource parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.GcsSource prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * The Google Cloud Storage location for the input content.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.GcsSource} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.GcsSource) + com.google.cloud.automl.v1beta1.GcsSourceOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_GcsSource_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_GcsSource_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.GcsSource.class, + com.google.cloud.automl.v1beta1.GcsSource.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.GcsSource.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + inputUris_ = com.google.protobuf.LazyStringArrayList.EMPTY; + bitField0_ = (bitField0_ & ~0x00000001); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_GcsSource_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GcsSource getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GcsSource build() { + com.google.cloud.automl.v1beta1.GcsSource result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GcsSource buildPartial() { + com.google.cloud.automl.v1beta1.GcsSource result = + new com.google.cloud.automl.v1beta1.GcsSource(this); + int from_bitField0_ = bitField0_; + if (((bitField0_ & 0x00000001) != 0)) { + inputUris_ = inputUris_.getUnmodifiableView(); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.inputUris_ = inputUris_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.GcsSource) { + return mergeFrom((com.google.cloud.automl.v1beta1.GcsSource) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.GcsSource other) { + if (other == com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance()) return this; + if (!other.inputUris_.isEmpty()) { + if (inputUris_.isEmpty()) { + inputUris_ = other.inputUris_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensureInputUrisIsMutable(); + inputUris_.addAll(other.inputUris_); + } + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.GcsSource parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.GcsSource) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private com.google.protobuf.LazyStringList inputUris_ = + com.google.protobuf.LazyStringArrayList.EMPTY; + + private void ensureInputUrisIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + inputUris_ = new com.google.protobuf.LazyStringArrayList(inputUris_); + bitField0_ |= 0x00000001; + } + } + /** + * + * + * 
+     * Required. Google Cloud Storage URIs to input files, up to 2000 characters
+     * long. Accepted forms:
+     * * Full object path, e.g. gs://bucket/directory/object.csv
+     *
+ * + * repeated string input_uris = 1; + * + * @return A list containing the inputUris. + */ + public com.google.protobuf.ProtocolStringList getInputUrisList() { + return inputUris_.getUnmodifiableView(); + } + /** + * + * + * 
+     * Required. Google Cloud Storage URIs to input files, up to 2000 characters
+     * long. Accepted forms:
+     * * Full object path, e.g. gs://bucket/directory/object.csv
+     *
+ * + * repeated string input_uris = 1; + * + * @return The count of inputUris. + */ + public int getInputUrisCount() { + return inputUris_.size(); + } + /** + * + * + * 
+     * Required. Google Cloud Storage URIs to input files, up to 2000 characters
+     * long. Accepted forms:
+     * * Full object path, e.g. gs://bucket/directory/object.csv
+     *
+ * + * repeated string input_uris = 1; + * + * @param index The index of the element to return. + * @return The inputUris at the given index. + */ + public java.lang.String getInputUris(int index) { + return inputUris_.get(index); + } + /** + * + * + * 
+     * Required. Google Cloud Storage URIs to input files, up to 2000 characters
+     * long. Accepted forms:
+     * * Full object path, e.g. gs://bucket/directory/object.csv
+     *
+ * + * repeated string input_uris = 1; + * + * @param index The index of the value to return. + * @return The bytes of the inputUris at the given index. + */ + public com.google.protobuf.ByteString getInputUrisBytes(int index) { + return inputUris_.getByteString(index); + } + /** + * + * + * 
+     * Required. Google Cloud Storage URIs to input files, up to 2000 characters
+     * long. Accepted forms:
+     * * Full object path, e.g. gs://bucket/directory/object.csv
+     *
+ * + * repeated string input_uris = 1; + * + * @param index The index to set the value at. + * @param value The inputUris to set. + * @return This builder for chaining. + */ + public Builder setInputUris(int index, java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + ensureInputUrisIsMutable(); + inputUris_.set(index, value); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Google Cloud Storage URIs to input files, up to 2000 characters
+     * long. Accepted forms:
+     * * Full object path, e.g. gs://bucket/directory/object.csv
+     *
+ * + * repeated string input_uris = 1; + * + * @param value The inputUris to add. + * @return This builder for chaining. + */ + public Builder addInputUris(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + ensureInputUrisIsMutable(); + inputUris_.add(value); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Google Cloud Storage URIs to input files, up to 2000 characters
+     * long. Accepted forms:
+     * * Full object path, e.g. gs://bucket/directory/object.csv
+     *
+ * + * repeated string input_uris = 1; + * + * @param values The inputUris to add. + * @return This builder for chaining. + */ + public Builder addAllInputUris(java.lang.Iterable values) { + ensureInputUrisIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, inputUris_); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Google Cloud Storage URIs to input files, up to 2000 characters
+     * long. Accepted forms:
+     * * Full object path, e.g. gs://bucket/directory/object.csv
+     *
+ * + * repeated string input_uris = 1; + * + * @return This builder for chaining. + */ + public Builder clearInputUris() { + inputUris_ = com.google.protobuf.LazyStringArrayList.EMPTY; + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Google Cloud Storage URIs to input files, up to 2000 characters
+     * long. Accepted forms:
+     * * Full object path, e.g. gs://bucket/directory/object.csv
+     *
+ * + * repeated string input_uris = 1; + * + * @param value The bytes of the inputUris to add. + * @return This builder for chaining. + */ + public Builder addInputUrisBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + ensureInputUrisIsMutable(); + inputUris_.add(value); + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.GcsSource) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.GcsSource) + private static final com.google.cloud.automl.v1beta1.GcsSource DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.GcsSource(); + } + + public static com.google.cloud.automl.v1beta1.GcsSource getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public GcsSource parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new GcsSource(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GcsSource getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcsSourceOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcsSourceOrBuilder.java new file mode 100644 index 000000000..bb6073fd0 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcsSourceOrBuilder.java @@ -0,0 +1,84 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/io.proto + +package com.google.cloud.automl.v1beta1; + +public interface GcsSourceOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.GcsSource) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. Google Cloud Storage URIs to input files, up to 2000 characters
+   * long. Accepted forms:
+   * * Full object path, e.g. gs://bucket/directory/object.csv
+   *
+ * + * repeated string input_uris = 1; + * + * @return A list containing the inputUris. + */ + java.util.List getInputUrisList(); + /** + * + * + * 
+   * Required. Google Cloud Storage URIs to input files, up to 2000 characters
+   * long. Accepted forms:
+   * * Full object path, e.g. gs://bucket/directory/object.csv
+   *
+ * + * repeated string input_uris = 1; + * + * @return The count of inputUris. + */ + int getInputUrisCount(); + /** + * + * + * 
+   * Required. Google Cloud Storage URIs to input files, up to 2000 characters
+   * long. Accepted forms:
+   * * Full object path, e.g. gs://bucket/directory/object.csv
+   *
+ * + * repeated string input_uris = 1; + * + * @param index The index of the element to return. + * @return The inputUris at the given index. + */ + java.lang.String getInputUris(int index); + /** + * + * + * 
+   * Required. Google Cloud Storage URIs to input files, up to 2000 characters
+   * long. Accepted forms:
+   * * Full object path, e.g. gs://bucket/directory/object.csv
+   *
+ * + * repeated string input_uris = 1; + * + * @param index The index of the value to return. + * @return The bytes of the inputUris at the given index. + */ + com.google.protobuf.ByteString getInputUrisBytes(int index); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Geometry.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Geometry.java new file mode 100644 index 000000000..e85401c2e --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Geometry.java @@ -0,0 +1,85 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/geometry.proto + +package com.google.cloud.automl.v1beta1; + +public final class Geometry { + private Geometry() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_NormalizedVertex_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_NormalizedVertex_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_BoundingPoly_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_BoundingPoly_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n*google/cloud/automl/v1beta1/geometry.p" + + "roto\022\033google.cloud.automl.v1beta1\032\034googl" + + "e/api/annotations.proto\"(\n\020NormalizedVer" + + "tex\022\t\n\001x\030\001 \001(\002\022\t\n\001y\030\002 \001(\002\"Z\n\014BoundingPol" + + "y\022J\n\023normalized_vertices\030\002 \003(\0132-.google." + + "cloud.automl.v1beta1.NormalizedVertexB\245\001" + + "\n\037com.google.cloud.automl.v1beta1P\001ZAgoo" + + "gle.golang.org/genproto/googleapis/cloud" + + "/automl/v1beta1;automl\312\002\033Google\\Cloud\\Au" + + "toMl\\V1beta1\352\002\036Google::Cloud::AutoML::V1" + + "beta1b\006proto3" + }; + descriptor = + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.api.AnnotationsProto.getDescriptor(), + }); + internal_static_google_cloud_automl_v1beta1_NormalizedVertex_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_NormalizedVertex_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_NormalizedVertex_descriptor, + new java.lang.String[] { + "X", "Y", + }); + internal_static_google_cloud_automl_v1beta1_BoundingPoly_descriptor = + getDescriptor().getMessageTypes().get(1); + internal_static_google_cloud_automl_v1beta1_BoundingPoly_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_BoundingPoly_descriptor, + new java.lang.String[] { + "NormalizedVertices", + }); + com.google.api.AnnotationsProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetAnnotationSpecRequest.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetAnnotationSpecRequest.java new file mode 100644 index 000000000..c79c44e7e --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetAnnotationSpecRequest.java @@ -0,0 +1,649 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [AutoMl.GetAnnotationSpec][google.cloud.automl.v1beta1.AutoMl.GetAnnotationSpec].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.GetAnnotationSpecRequest} + */ +public final class GetAnnotationSpecRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.GetAnnotationSpecRequest) + GetAnnotationSpecRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use GetAnnotationSpecRequest.newBuilder() to construct. + private GetAnnotationSpecRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private GetAnnotationSpecRequest() { + name_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new GetAnnotationSpecRequest(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private GetAnnotationSpecRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + name_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetAnnotationSpecRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetAnnotationSpecRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest.class, + com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest.Builder.class); + } + + public static final int NAME_FIELD_NUMBER = 1; + private volatile java.lang.Object name_; + /** + * + * + * 
+   * Required. The resource name of the annotation spec to retrieve.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. The resource name of the annotation spec to retrieve.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest other = + (com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest) obj; + + if (!getName().equals(other.getName())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + NAME_FIELD_NUMBER; + hash = (53 * hash) + getName().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [AutoMl.GetAnnotationSpec][google.cloud.automl.v1beta1.AutoMl.GetAnnotationSpec].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.GetAnnotationSpecRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.GetAnnotationSpecRequest) + com.google.cloud.automl.v1beta1.GetAnnotationSpecRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetAnnotationSpecRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetAnnotationSpecRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest.class, + com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + name_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetAnnotationSpecRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest build() { + com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest buildPartial() { + com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest result = + new com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest(this); + result.name_ = name_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest other) { + if (other == com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest.getDefaultInstance()) + return this; + if (!other.getName().isEmpty()) { + name_ = other.name_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object name_ = ""; + /** + * + * + * 
+     * Required. The resource name of the annotation spec to retrieve.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. The resource name of the annotation spec to retrieve.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. The resource name of the annotation spec to retrieve.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The name to set. + * @return This builder for chaining. + */ + public Builder setName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + name_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The resource name of the annotation spec to retrieve.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return This builder for chaining. + */ + public Builder clearName() { + + name_ = getDefaultInstance().getName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The resource name of the annotation spec to retrieve.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The bytes for name to set. + * @return This builder for chaining. + */ + public Builder setNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + name_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.GetAnnotationSpecRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.GetAnnotationSpecRequest) + private static final com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest(); + } + + public static com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public GetAnnotationSpecRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new GetAnnotationSpecRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetAnnotationSpecRequestOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetAnnotationSpecRequestOrBuilder.java new file mode 100644 index 000000000..580d815e0 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetAnnotationSpecRequestOrBuilder.java @@ -0,0 +1,54 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface GetAnnotationSpecRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.GetAnnotationSpecRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. The resource name of the annotation spec to retrieve.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + java.lang.String getName(); + /** + * + * + * 
+   * Required. The resource name of the annotation spec to retrieve.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + com.google.protobuf.ByteString getNameBytes(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetColumnSpecRequest.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetColumnSpecRequest.java new file mode 100644 index 000000000..26b17b047 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetColumnSpecRequest.java @@ -0,0 +1,913 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [AutoMl.GetColumnSpec][google.cloud.automl.v1beta1.AutoMl.GetColumnSpec].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.GetColumnSpecRequest} + */ +public final class GetColumnSpecRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.GetColumnSpecRequest) + GetColumnSpecRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use GetColumnSpecRequest.newBuilder() to construct. + private GetColumnSpecRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private GetColumnSpecRequest() { + name_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new GetColumnSpecRequest(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private GetColumnSpecRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + name_ = s; + break; + } + case 18: + { + com.google.protobuf.FieldMask.Builder subBuilder = null; + if (fieldMask_ != null) { + subBuilder = fieldMask_.toBuilder(); + } + fieldMask_ = + input.readMessage(com.google.protobuf.FieldMask.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(fieldMask_); + fieldMask_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetColumnSpecRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetColumnSpecRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.GetColumnSpecRequest.class, + com.google.cloud.automl.v1beta1.GetColumnSpecRequest.Builder.class); + } + + public static final int NAME_FIELD_NUMBER = 1; + private volatile java.lang.Object name_; + /** + * + * + * 
+   * Required. The resource name of the column spec to retrieve.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. The resource name of the column spec to retrieve.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int FIELD_MASK_FIELD_NUMBER = 2; + private com.google.protobuf.FieldMask fieldMask_; + /** + * + * + * 
+   * Mask specifying which fields to read.
+   *
+ * + * .google.protobuf.FieldMask field_mask = 2; + * + * @return Whether the fieldMask field is set. + */ + public boolean hasFieldMask() { + return fieldMask_ != null; + } + /** + * + * + * 
+   * Mask specifying which fields to read.
+   *
+ * + * .google.protobuf.FieldMask field_mask = 2; + * + * @return The fieldMask. + */ + public com.google.protobuf.FieldMask getFieldMask() { + return fieldMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : fieldMask_; + } + /** + * + * + * 
+   * Mask specifying which fields to read.
+   *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public com.google.protobuf.FieldMaskOrBuilder getFieldMaskOrBuilder() { + return getFieldMask(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_); + } + if (fieldMask_ != null) { + output.writeMessage(2, getFieldMask()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_); + } + if (fieldMask_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getFieldMask()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.GetColumnSpecRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.GetColumnSpecRequest other = + (com.google.cloud.automl.v1beta1.GetColumnSpecRequest) obj; + + if (!getName().equals(other.getName())) return false; + if (hasFieldMask() != other.hasFieldMask()) return false; + if (hasFieldMask()) { + if (!getFieldMask().equals(other.getFieldMask())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + NAME_FIELD_NUMBER; + hash = (53 * hash) + getName().hashCode(); + if (hasFieldMask()) { + hash = (37 * hash) + FIELD_MASK_FIELD_NUMBER; + hash = (53 * hash) + getFieldMask().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.GetColumnSpecRequest parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.GetColumnSpecRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetColumnSpecRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.GetColumnSpecRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetColumnSpecRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.GetColumnSpecRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetColumnSpecRequest parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.GetColumnSpecRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetColumnSpecRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.GetColumnSpecRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetColumnSpecRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.GetColumnSpecRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.GetColumnSpecRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [AutoMl.GetColumnSpec][google.cloud.automl.v1beta1.AutoMl.GetColumnSpec].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.GetColumnSpecRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.GetColumnSpecRequest) + com.google.cloud.automl.v1beta1.GetColumnSpecRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetColumnSpecRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetColumnSpecRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.GetColumnSpecRequest.class, + com.google.cloud.automl.v1beta1.GetColumnSpecRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.GetColumnSpecRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + name_ = ""; + + if (fieldMaskBuilder_ == null) { + fieldMask_ = null; + } else { + fieldMask_ = null; + fieldMaskBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetColumnSpecRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GetColumnSpecRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.GetColumnSpecRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GetColumnSpecRequest build() { + com.google.cloud.automl.v1beta1.GetColumnSpecRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GetColumnSpecRequest buildPartial() { + com.google.cloud.automl.v1beta1.GetColumnSpecRequest result = + new com.google.cloud.automl.v1beta1.GetColumnSpecRequest(this); + result.name_ = name_; + if (fieldMaskBuilder_ == null) { + result.fieldMask_ = fieldMask_; + } else { + result.fieldMask_ = fieldMaskBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.GetColumnSpecRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.GetColumnSpecRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.GetColumnSpecRequest other) { + if (other == com.google.cloud.automl.v1beta1.GetColumnSpecRequest.getDefaultInstance()) + return this; + if (!other.getName().isEmpty()) { + name_ = other.name_; + onChanged(); + } + if (other.hasFieldMask()) { + mergeFieldMask(other.getFieldMask()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.GetColumnSpecRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.GetColumnSpecRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object name_ = ""; + /** + * + * + * 
+     * Required. The resource name of the column spec to retrieve.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. The resource name of the column spec to retrieve.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. The resource name of the column spec to retrieve.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The name to set. + * @return This builder for chaining. + */ + public Builder setName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + name_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The resource name of the column spec to retrieve.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return This builder for chaining. + */ + public Builder clearName() { + + name_ = getDefaultInstance().getName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The resource name of the column spec to retrieve.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The bytes for name to set. + * @return This builder for chaining. + */ + public Builder setNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + name_ = value; + onChanged(); + return this; + } + + private com.google.protobuf.FieldMask fieldMask_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder> + fieldMaskBuilder_; + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + * + * @return Whether the fieldMask field is set. + */ + public boolean hasFieldMask() { + return fieldMaskBuilder_ != null || fieldMask_ != null; + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + * + * @return The fieldMask. + */ + public com.google.protobuf.FieldMask getFieldMask() { + if (fieldMaskBuilder_ == null) { + return fieldMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : fieldMask_; + } else { + return fieldMaskBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public Builder setFieldMask(com.google.protobuf.FieldMask value) { + if (fieldMaskBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + fieldMask_ = value; + onChanged(); + } else { + fieldMaskBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public Builder setFieldMask(com.google.protobuf.FieldMask.Builder builderForValue) { + if (fieldMaskBuilder_ == null) { + fieldMask_ = builderForValue.build(); + onChanged(); + } else { + fieldMaskBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public Builder mergeFieldMask(com.google.protobuf.FieldMask value) { + if (fieldMaskBuilder_ == null) { + if (fieldMask_ != null) { + fieldMask_ = + com.google.protobuf.FieldMask.newBuilder(fieldMask_).mergeFrom(value).buildPartial(); + } else { + fieldMask_ = value; + } + onChanged(); + } else { + fieldMaskBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public Builder clearFieldMask() { + if (fieldMaskBuilder_ == null) { + fieldMask_ = null; + onChanged(); + } else { + fieldMask_ = null; + fieldMaskBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public com.google.protobuf.FieldMask.Builder getFieldMaskBuilder() { + + onChanged(); + return getFieldMaskFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public com.google.protobuf.FieldMaskOrBuilder getFieldMaskOrBuilder() { + if (fieldMaskBuilder_ != null) { + return fieldMaskBuilder_.getMessageOrBuilder(); + } else { + return fieldMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : fieldMask_; + } + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder> + getFieldMaskFieldBuilder() { + if (fieldMaskBuilder_ == null) { + fieldMaskBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder>( + getFieldMask(), getParentForChildren(), isClean()); + fieldMask_ = null; + } + return fieldMaskBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.GetColumnSpecRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.GetColumnSpecRequest) + private static final com.google.cloud.automl.v1beta1.GetColumnSpecRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.GetColumnSpecRequest(); + } + + public static com.google.cloud.automl.v1beta1.GetColumnSpecRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public GetColumnSpecRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new GetColumnSpecRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GetColumnSpecRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetColumnSpecRequestOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetColumnSpecRequestOrBuilder.java new file mode 100644 index 000000000..69ed101ba --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetColumnSpecRequestOrBuilder.java @@ -0,0 +1,89 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface GetColumnSpecRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.GetColumnSpecRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. The resource name of the column spec to retrieve.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + java.lang.String getName(); + /** + * + * + * 
+   * Required. The resource name of the column spec to retrieve.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + com.google.protobuf.ByteString getNameBytes(); + + /** + * + * + * 
+   * Mask specifying which fields to read.
+   *
+ * + * .google.protobuf.FieldMask field_mask = 2; + * + * @return Whether the fieldMask field is set. + */ + boolean hasFieldMask(); + /** + * + * + * 
+   * Mask specifying which fields to read.
+   *
+ * + * .google.protobuf.FieldMask field_mask = 2; + * + * @return The fieldMask. + */ + com.google.protobuf.FieldMask getFieldMask(); + /** + * + * + * 
+   * Mask specifying which fields to read.
+   *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + com.google.protobuf.FieldMaskOrBuilder getFieldMaskOrBuilder(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetDatasetRequest.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetDatasetRequest.java new file mode 100644 index 000000000..6b7211808 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetDatasetRequest.java @@ -0,0 +1,648 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [AutoMl.GetDataset][google.cloud.automl.v1beta1.AutoMl.GetDataset].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.GetDatasetRequest} + */ +public final class GetDatasetRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.GetDatasetRequest) + GetDatasetRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use GetDatasetRequest.newBuilder() to construct. + private GetDatasetRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private GetDatasetRequest() { + name_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new GetDatasetRequest(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private GetDatasetRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + name_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetDatasetRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetDatasetRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.GetDatasetRequest.class, + com.google.cloud.automl.v1beta1.GetDatasetRequest.Builder.class); + } + + public static final int NAME_FIELD_NUMBER = 1; + private volatile java.lang.Object name_; + /** + * + * + * 
+   * Required. The resource name of the dataset to retrieve.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. The resource name of the dataset to retrieve.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.GetDatasetRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.GetDatasetRequest other = + (com.google.cloud.automl.v1beta1.GetDatasetRequest) obj; + + if (!getName().equals(other.getName())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + NAME_FIELD_NUMBER; + hash = (53 * hash) + getName().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.GetDatasetRequest parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.GetDatasetRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetDatasetRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.GetDatasetRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetDatasetRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.GetDatasetRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetDatasetRequest parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.GetDatasetRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetDatasetRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.GetDatasetRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetDatasetRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.GetDatasetRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.GetDatasetRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [AutoMl.GetDataset][google.cloud.automl.v1beta1.AutoMl.GetDataset].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.GetDatasetRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.GetDatasetRequest) + com.google.cloud.automl.v1beta1.GetDatasetRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetDatasetRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetDatasetRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.GetDatasetRequest.class, + com.google.cloud.automl.v1beta1.GetDatasetRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.GetDatasetRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + name_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetDatasetRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GetDatasetRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.GetDatasetRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GetDatasetRequest build() { + com.google.cloud.automl.v1beta1.GetDatasetRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GetDatasetRequest buildPartial() { + com.google.cloud.automl.v1beta1.GetDatasetRequest result = + new com.google.cloud.automl.v1beta1.GetDatasetRequest(this); + result.name_ = name_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.GetDatasetRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.GetDatasetRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.GetDatasetRequest other) { + if (other == com.google.cloud.automl.v1beta1.GetDatasetRequest.getDefaultInstance()) + return this; + if (!other.getName().isEmpty()) { + name_ = other.name_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.GetDatasetRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.GetDatasetRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object name_ = ""; + /** + * + * + * 
+     * Required. The resource name of the dataset to retrieve.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. The resource name of the dataset to retrieve.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. The resource name of the dataset to retrieve.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The name to set. + * @return This builder for chaining. + */ + public Builder setName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + name_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The resource name of the dataset to retrieve.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return This builder for chaining. + */ + public Builder clearName() { + + name_ = getDefaultInstance().getName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The resource name of the dataset to retrieve.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The bytes for name to set. + * @return This builder for chaining. + */ + public Builder setNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + name_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.GetDatasetRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.GetDatasetRequest) + private static final com.google.cloud.automl.v1beta1.GetDatasetRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.GetDatasetRequest(); + } + + public static com.google.cloud.automl.v1beta1.GetDatasetRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public GetDatasetRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new GetDatasetRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GetDatasetRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetDatasetRequestOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetDatasetRequestOrBuilder.java new file mode 100644 index 000000000..01ff1b52c --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetDatasetRequestOrBuilder.java @@ -0,0 +1,54 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface GetDatasetRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.GetDatasetRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. The resource name of the dataset to retrieve.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + java.lang.String getName(); + /** + * + * + * 
+   * Required. The resource name of the dataset to retrieve.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + com.google.protobuf.ByteString getNameBytes(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetModelEvaluationRequest.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetModelEvaluationRequest.java new file mode 100644 index 000000000..b385dac79 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetModelEvaluationRequest.java @@ -0,0 +1,649 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [AutoMl.GetModelEvaluation][google.cloud.automl.v1beta1.AutoMl.GetModelEvaluation].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.GetModelEvaluationRequest} + */ +public final class GetModelEvaluationRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.GetModelEvaluationRequest) + GetModelEvaluationRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use GetModelEvaluationRequest.newBuilder() to construct. + private GetModelEvaluationRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private GetModelEvaluationRequest() { + name_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new GetModelEvaluationRequest(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private GetModelEvaluationRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + name_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetModelEvaluationRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetModelEvaluationRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.GetModelEvaluationRequest.class, + com.google.cloud.automl.v1beta1.GetModelEvaluationRequest.Builder.class); + } + + public static final int NAME_FIELD_NUMBER = 1; + private volatile java.lang.Object name_; + /** + * + * + * 
+   * Required. Resource name for the model evaluation.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. Resource name for the model evaluation.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.GetModelEvaluationRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.GetModelEvaluationRequest other = + (com.google.cloud.automl.v1beta1.GetModelEvaluationRequest) obj; + + if (!getName().equals(other.getName())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + NAME_FIELD_NUMBER; + hash = (53 * hash) + getName().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.GetModelEvaluationRequest parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.GetModelEvaluationRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetModelEvaluationRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.GetModelEvaluationRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetModelEvaluationRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.GetModelEvaluationRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetModelEvaluationRequest parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.GetModelEvaluationRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetModelEvaluationRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.GetModelEvaluationRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetModelEvaluationRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.GetModelEvaluationRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.GetModelEvaluationRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [AutoMl.GetModelEvaluation][google.cloud.automl.v1beta1.AutoMl.GetModelEvaluation].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.GetModelEvaluationRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.GetModelEvaluationRequest) + com.google.cloud.automl.v1beta1.GetModelEvaluationRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetModelEvaluationRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetModelEvaluationRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.GetModelEvaluationRequest.class, + com.google.cloud.automl.v1beta1.GetModelEvaluationRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.GetModelEvaluationRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + name_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetModelEvaluationRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GetModelEvaluationRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.GetModelEvaluationRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GetModelEvaluationRequest build() { + com.google.cloud.automl.v1beta1.GetModelEvaluationRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GetModelEvaluationRequest buildPartial() { + com.google.cloud.automl.v1beta1.GetModelEvaluationRequest result = + new com.google.cloud.automl.v1beta1.GetModelEvaluationRequest(this); + result.name_ = name_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.GetModelEvaluationRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.GetModelEvaluationRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.GetModelEvaluationRequest other) { + if (other == com.google.cloud.automl.v1beta1.GetModelEvaluationRequest.getDefaultInstance()) + return this; + if (!other.getName().isEmpty()) { + name_ = other.name_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.GetModelEvaluationRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.GetModelEvaluationRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object name_ = ""; + /** + * + * + * 
+     * Required. Resource name for the model evaluation.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. Resource name for the model evaluation.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. Resource name for the model evaluation.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The name to set. + * @return This builder for chaining. + */ + public Builder setName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + name_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Resource name for the model evaluation.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return This builder for chaining. + */ + public Builder clearName() { + + name_ = getDefaultInstance().getName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Resource name for the model evaluation.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The bytes for name to set. + * @return This builder for chaining. + */ + public Builder setNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + name_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.GetModelEvaluationRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.GetModelEvaluationRequest) + private static final com.google.cloud.automl.v1beta1.GetModelEvaluationRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.GetModelEvaluationRequest(); + } + + public static com.google.cloud.automl.v1beta1.GetModelEvaluationRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public GetModelEvaluationRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new GetModelEvaluationRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GetModelEvaluationRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetModelEvaluationRequestOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetModelEvaluationRequestOrBuilder.java new file mode 100644 index 000000000..81798b30a --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetModelEvaluationRequestOrBuilder.java @@ -0,0 +1,54 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface GetModelEvaluationRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.GetModelEvaluationRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. Resource name for the model evaluation.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + java.lang.String getName(); + /** + * + * + * 
+   * Required. Resource name for the model evaluation.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + com.google.protobuf.ByteString getNameBytes(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetModelRequest.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetModelRequest.java new file mode 100644 index 000000000..983621061 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetModelRequest.java @@ -0,0 +1,647 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [AutoMl.GetModel][google.cloud.automl.v1beta1.AutoMl.GetModel].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.GetModelRequest} + */ +public final class GetModelRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.GetModelRequest) + GetModelRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use GetModelRequest.newBuilder() to construct. + private GetModelRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private GetModelRequest() { + name_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new GetModelRequest(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private GetModelRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + name_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetModelRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetModelRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.GetModelRequest.class, + com.google.cloud.automl.v1beta1.GetModelRequest.Builder.class); + } + + public static final int NAME_FIELD_NUMBER = 1; + private volatile java.lang.Object name_; + /** + * + * + * 
+   * Required. Resource name of the model.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. Resource name of the model.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.GetModelRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.GetModelRequest other = + (com.google.cloud.automl.v1beta1.GetModelRequest) obj; + + if (!getName().equals(other.getName())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + NAME_FIELD_NUMBER; + hash = (53 * hash) + getName().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.GetModelRequest parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.GetModelRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetModelRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.GetModelRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetModelRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.GetModelRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetModelRequest parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.GetModelRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetModelRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.GetModelRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetModelRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.GetModelRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.GetModelRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [AutoMl.GetModel][google.cloud.automl.v1beta1.AutoMl.GetModel].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.GetModelRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.GetModelRequest) + com.google.cloud.automl.v1beta1.GetModelRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetModelRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetModelRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.GetModelRequest.class, + com.google.cloud.automl.v1beta1.GetModelRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.GetModelRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + name_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetModelRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GetModelRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.GetModelRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GetModelRequest build() { + com.google.cloud.automl.v1beta1.GetModelRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GetModelRequest buildPartial() { + com.google.cloud.automl.v1beta1.GetModelRequest result = + new com.google.cloud.automl.v1beta1.GetModelRequest(this); + result.name_ = name_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.GetModelRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.GetModelRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.GetModelRequest other) { + if (other == com.google.cloud.automl.v1beta1.GetModelRequest.getDefaultInstance()) + return this; + if (!other.getName().isEmpty()) { + name_ = other.name_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.GetModelRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.GetModelRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object name_ = ""; + /** + * + * + * 
+     * Required. Resource name of the model.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. Resource name of the model.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. Resource name of the model.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The name to set. + * @return This builder for chaining. + */ + public Builder setName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + name_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Resource name of the model.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return This builder for chaining. + */ + public Builder clearName() { + + name_ = getDefaultInstance().getName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Resource name of the model.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The bytes for name to set. + * @return This builder for chaining. + */ + public Builder setNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + name_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.GetModelRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.GetModelRequest) + private static final com.google.cloud.automl.v1beta1.GetModelRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.GetModelRequest(); + } + + public static com.google.cloud.automl.v1beta1.GetModelRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public GetModelRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new GetModelRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GetModelRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetModelRequestOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetModelRequestOrBuilder.java new file mode 100644 index 000000000..92e67a6df --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetModelRequestOrBuilder.java @@ -0,0 +1,54 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface GetModelRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.GetModelRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. Resource name of the model.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + java.lang.String getName(); + /** + * + * + * 
+   * Required. Resource name of the model.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + com.google.protobuf.ByteString getNameBytes(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetTableSpecRequest.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetTableSpecRequest.java new file mode 100644 index 000000000..59dfc01e6 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetTableSpecRequest.java @@ -0,0 +1,913 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [AutoMl.GetTableSpec][google.cloud.automl.v1beta1.AutoMl.GetTableSpec].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.GetTableSpecRequest} + */ +public final class GetTableSpecRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.GetTableSpecRequest) + GetTableSpecRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use GetTableSpecRequest.newBuilder() to construct. + private GetTableSpecRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private GetTableSpecRequest() { + name_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new GetTableSpecRequest(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private GetTableSpecRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + name_ = s; + break; + } + case 18: + { + com.google.protobuf.FieldMask.Builder subBuilder = null; + if (fieldMask_ != null) { + subBuilder = fieldMask_.toBuilder(); + } + fieldMask_ = + input.readMessage(com.google.protobuf.FieldMask.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(fieldMask_); + fieldMask_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetTableSpecRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetTableSpecRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.GetTableSpecRequest.class, + com.google.cloud.automl.v1beta1.GetTableSpecRequest.Builder.class); + } + + public static final int NAME_FIELD_NUMBER = 1; + private volatile java.lang.Object name_; + /** + * + * + * 
+   * Required. The resource name of the table spec to retrieve.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. The resource name of the table spec to retrieve.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int FIELD_MASK_FIELD_NUMBER = 2; + private com.google.protobuf.FieldMask fieldMask_; + /** + * + * + * 
+   * Mask specifying which fields to read.
+   *
+ * + * .google.protobuf.FieldMask field_mask = 2; + * + * @return Whether the fieldMask field is set. + */ + public boolean hasFieldMask() { + return fieldMask_ != null; + } + /** + * + * + * 
+   * Mask specifying which fields to read.
+   *
+ * + * .google.protobuf.FieldMask field_mask = 2; + * + * @return The fieldMask. + */ + public com.google.protobuf.FieldMask getFieldMask() { + return fieldMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : fieldMask_; + } + /** + * + * + * 
+   * Mask specifying which fields to read.
+   *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public com.google.protobuf.FieldMaskOrBuilder getFieldMaskOrBuilder() { + return getFieldMask(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_); + } + if (fieldMask_ != null) { + output.writeMessage(2, getFieldMask()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_); + } + if (fieldMask_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getFieldMask()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.GetTableSpecRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.GetTableSpecRequest other = + (com.google.cloud.automl.v1beta1.GetTableSpecRequest) obj; + + if (!getName().equals(other.getName())) return false; + if (hasFieldMask() != other.hasFieldMask()) return false; + if (hasFieldMask()) { + if (!getFieldMask().equals(other.getFieldMask())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + NAME_FIELD_NUMBER; + hash = (53 * hash) + getName().hashCode(); + if (hasFieldMask()) { + hash = (37 * hash) + FIELD_MASK_FIELD_NUMBER; + hash = (53 * hash) + getFieldMask().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.GetTableSpecRequest parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.GetTableSpecRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetTableSpecRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.GetTableSpecRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetTableSpecRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.GetTableSpecRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetTableSpecRequest parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.GetTableSpecRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetTableSpecRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.GetTableSpecRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.GetTableSpecRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.GetTableSpecRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.GetTableSpecRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [AutoMl.GetTableSpec][google.cloud.automl.v1beta1.AutoMl.GetTableSpec].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.GetTableSpecRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.GetTableSpecRequest) + com.google.cloud.automl.v1beta1.GetTableSpecRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetTableSpecRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetTableSpecRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.GetTableSpecRequest.class, + com.google.cloud.automl.v1beta1.GetTableSpecRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.GetTableSpecRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + name_ = ""; + + if (fieldMaskBuilder_ == null) { + fieldMask_ = null; + } else { + fieldMask_ = null; + fieldMaskBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_GetTableSpecRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GetTableSpecRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.GetTableSpecRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GetTableSpecRequest build() { + com.google.cloud.automl.v1beta1.GetTableSpecRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GetTableSpecRequest buildPartial() { + com.google.cloud.automl.v1beta1.GetTableSpecRequest result = + new com.google.cloud.automl.v1beta1.GetTableSpecRequest(this); + result.name_ = name_; + if (fieldMaskBuilder_ == null) { + result.fieldMask_ = fieldMask_; + } else { + result.fieldMask_ = fieldMaskBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.GetTableSpecRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.GetTableSpecRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.GetTableSpecRequest other) { + if (other == com.google.cloud.automl.v1beta1.GetTableSpecRequest.getDefaultInstance()) + return this; + if (!other.getName().isEmpty()) { + name_ = other.name_; + onChanged(); + } + if (other.hasFieldMask()) { + mergeFieldMask(other.getFieldMask()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.GetTableSpecRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.GetTableSpecRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object name_ = ""; + /** + * + * + * 
+     * Required. The resource name of the table spec to retrieve.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. The resource name of the table spec to retrieve.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. The resource name of the table spec to retrieve.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The name to set. + * @return This builder for chaining. + */ + public Builder setName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + name_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The resource name of the table spec to retrieve.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return This builder for chaining. + */ + public Builder clearName() { + + name_ = getDefaultInstance().getName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The resource name of the table spec to retrieve.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The bytes for name to set. + * @return This builder for chaining. + */ + public Builder setNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + name_ = value; + onChanged(); + return this; + } + + private com.google.protobuf.FieldMask fieldMask_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder> + fieldMaskBuilder_; + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + * + * @return Whether the fieldMask field is set. + */ + public boolean hasFieldMask() { + return fieldMaskBuilder_ != null || fieldMask_ != null; + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + * + * @return The fieldMask. + */ + public com.google.protobuf.FieldMask getFieldMask() { + if (fieldMaskBuilder_ == null) { + return fieldMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : fieldMask_; + } else { + return fieldMaskBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public Builder setFieldMask(com.google.protobuf.FieldMask value) { + if (fieldMaskBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + fieldMask_ = value; + onChanged(); + } else { + fieldMaskBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public Builder setFieldMask(com.google.protobuf.FieldMask.Builder builderForValue) { + if (fieldMaskBuilder_ == null) { + fieldMask_ = builderForValue.build(); + onChanged(); + } else { + fieldMaskBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public Builder mergeFieldMask(com.google.protobuf.FieldMask value) { + if (fieldMaskBuilder_ == null) { + if (fieldMask_ != null) { + fieldMask_ = + com.google.protobuf.FieldMask.newBuilder(fieldMask_).mergeFrom(value).buildPartial(); + } else { + fieldMask_ = value; + } + onChanged(); + } else { + fieldMaskBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public Builder clearFieldMask() { + if (fieldMaskBuilder_ == null) { + fieldMask_ = null; + onChanged(); + } else { + fieldMask_ = null; + fieldMaskBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public com.google.protobuf.FieldMask.Builder getFieldMaskBuilder() { + + onChanged(); + return getFieldMaskFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public com.google.protobuf.FieldMaskOrBuilder getFieldMaskOrBuilder() { + if (fieldMaskBuilder_ != null) { + return fieldMaskBuilder_.getMessageOrBuilder(); + } else { + return fieldMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : fieldMask_; + } + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder> + getFieldMaskFieldBuilder() { + if (fieldMaskBuilder_ == null) { + fieldMaskBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder>( + getFieldMask(), getParentForChildren(), isClean()); + fieldMask_ = null; + } + return fieldMaskBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.GetTableSpecRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.GetTableSpecRequest) + private static final com.google.cloud.automl.v1beta1.GetTableSpecRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.GetTableSpecRequest(); + } + + public static com.google.cloud.automl.v1beta1.GetTableSpecRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public GetTableSpecRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new GetTableSpecRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.GetTableSpecRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetTableSpecRequestOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetTableSpecRequestOrBuilder.java new file mode 100644 index 000000000..602d954d1 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetTableSpecRequestOrBuilder.java @@ -0,0 +1,89 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface GetTableSpecRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.GetTableSpecRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. The resource name of the table spec to retrieve.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + java.lang.String getName(); + /** + * + * + * 
+   * Required. The resource name of the table spec to retrieve.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + com.google.protobuf.ByteString getNameBytes(); + + /** + * + * + * 
+   * Mask specifying which fields to read.
+   *
+ * + * .google.protobuf.FieldMask field_mask = 2; + * + * @return Whether the fieldMask field is set. + */ + boolean hasFieldMask(); + /** + * + * + * 
+   * Mask specifying which fields to read.
+   *
+ * + * .google.protobuf.FieldMask field_mask = 2; + * + * @return The fieldMask. + */ + com.google.protobuf.FieldMask getFieldMask(); + /** + * + * + * 
+   * Mask specifying which fields to read.
+   *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + com.google.protobuf.FieldMaskOrBuilder getFieldMaskOrBuilder(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Image.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Image.java new file mode 100644 index 000000000..58dde6e3f --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Image.java @@ -0,0 +1,1122 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_items.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * A representation of an image.
+ * Only images up to 30MB in size are supported.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.Image} + */ +public final class Image extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.Image) + ImageOrBuilder { + private static final long serialVersionUID = 0L; + // Use Image.newBuilder() to construct. + private Image(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private Image() { + thumbnailUri_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new Image(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private Image( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + dataCase_ = 1; + data_ = input.readBytes(); + break; + } + case 34: + { + java.lang.String s = input.readStringRequireUtf8(); + + thumbnailUri_ = s; + break; + } + case 50: + { + com.google.cloud.automl.v1beta1.InputConfig.Builder subBuilder = null; + if (dataCase_ == 6) { + subBuilder = ((com.google.cloud.automl.v1beta1.InputConfig) data_).toBuilder(); + } + data_ = + input.readMessage( + com.google.cloud.automl.v1beta1.InputConfig.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.InputConfig) data_); + data_ = subBuilder.buildPartial(); + } + dataCase_ = 6; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_Image_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_Image_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.Image.class, + com.google.cloud.automl.v1beta1.Image.Builder.class); + } + + private int dataCase_ = 0; + private java.lang.Object data_; + + public enum DataCase + implements + com.google.protobuf.Internal.EnumLite, + com.google.protobuf.AbstractMessage.InternalOneOfEnum { + IMAGE_BYTES(1), + INPUT_CONFIG(6), + DATA_NOT_SET(0); + private final int value; + + private DataCase(int value) { + this.value = value; + } + /** + * @param value The number of the enum to look for. + * @return The enum associated with the given number. + * @deprecated Use {@link #forNumber(int)} instead. + */ + @java.lang.Deprecated + public static DataCase valueOf(int value) { + return forNumber(value); + } + + public static DataCase forNumber(int value) { + switch (value) { + case 1: + return IMAGE_BYTES; + case 6: + return INPUT_CONFIG; + case 0: + return DATA_NOT_SET; + default: + return null; + } + } + + public int getNumber() { + return this.value; + } + }; + + public DataCase getDataCase() { + return DataCase.forNumber(dataCase_); + } + + public static final int IMAGE_BYTES_FIELD_NUMBER = 1; + /** + * + * + * 
+   * Image content represented as a stream of bytes.
+   * Note: As with all `bytes` fields, protobuffers use a pure binary
+   * representation, whereas JSON representations use base64.
+   *
+ * + * bytes image_bytes = 1; + * + * @return The imageBytes. + */ + public com.google.protobuf.ByteString getImageBytes() { + if (dataCase_ == 1) { + return (com.google.protobuf.ByteString) data_; + } + return com.google.protobuf.ByteString.EMPTY; + } + + public static final int INPUT_CONFIG_FIELD_NUMBER = 6; + /** + * + * + * 
+   * An input config specifying the content of the image.
+   *
+ * + * .google.cloud.automl.v1beta1.InputConfig input_config = 6; + * + * @return Whether the inputConfig field is set. + */ + public boolean hasInputConfig() { + return dataCase_ == 6; + } + /** + * + * + * 
+   * An input config specifying the content of the image.
+   *
+ * + * .google.cloud.automl.v1beta1.InputConfig input_config = 6; + * + * @return The inputConfig. + */ + public com.google.cloud.automl.v1beta1.InputConfig getInputConfig() { + if (dataCase_ == 6) { + return (com.google.cloud.automl.v1beta1.InputConfig) data_; + } + return com.google.cloud.automl.v1beta1.InputConfig.getDefaultInstance(); + } + /** + * + * + * 
+   * An input config specifying the content of the image.
+   *
+ * + * .google.cloud.automl.v1beta1.InputConfig input_config = 6; + */ + public com.google.cloud.automl.v1beta1.InputConfigOrBuilder getInputConfigOrBuilder() { + if (dataCase_ == 6) { + return (com.google.cloud.automl.v1beta1.InputConfig) data_; + } + return com.google.cloud.automl.v1beta1.InputConfig.getDefaultInstance(); + } + + public static final int THUMBNAIL_URI_FIELD_NUMBER = 4; + private volatile java.lang.Object thumbnailUri_; + /** + * + * + * 
+   * Output only. HTTP URI to the thumbnail image.
+   *
+ * + * string thumbnail_uri = 4; + * + * @return The thumbnailUri. + */ + public java.lang.String getThumbnailUri() { + java.lang.Object ref = thumbnailUri_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + thumbnailUri_ = s; + return s; + } + } + /** + * + * + * 
+   * Output only. HTTP URI to the thumbnail image.
+   *
+ * + * string thumbnail_uri = 4; + * + * @return The bytes for thumbnailUri. + */ + public com.google.protobuf.ByteString getThumbnailUriBytes() { + java.lang.Object ref = thumbnailUri_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + thumbnailUri_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (dataCase_ == 1) { + output.writeBytes(1, (com.google.protobuf.ByteString) data_); + } + if (!getThumbnailUriBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 4, thumbnailUri_); + } + if (dataCase_ == 6) { + output.writeMessage(6, (com.google.cloud.automl.v1beta1.InputConfig) data_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (dataCase_ == 1) { + size += + com.google.protobuf.CodedOutputStream.computeBytesSize( + 1, (com.google.protobuf.ByteString) data_); + } + if (!getThumbnailUriBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(4, thumbnailUri_); + } + if (dataCase_ == 6) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 6, (com.google.cloud.automl.v1beta1.InputConfig) data_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.Image)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.Image other = (com.google.cloud.automl.v1beta1.Image) obj; + + if (!getThumbnailUri().equals(other.getThumbnailUri())) return false; + if (!getDataCase().equals(other.getDataCase())) return false; + switch (dataCase_) { + case 1: + if (!getImageBytes().equals(other.getImageBytes())) return false; + break; + case 6: + if (!getInputConfig().equals(other.getInputConfig())) return false; + break; + case 0: + default: + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + THUMBNAIL_URI_FIELD_NUMBER; + hash = (53 * hash) + getThumbnailUri().hashCode(); + switch (dataCase_) { + case 1: + hash = (37 * hash) + IMAGE_BYTES_FIELD_NUMBER; + hash = (53 * hash) + getImageBytes().hashCode(); + break; + case 6: + hash = (37 * hash) + INPUT_CONFIG_FIELD_NUMBER; + hash = (53 * hash) + getInputConfig().hashCode(); + break; + case 0: + default: + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.Image parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.Image parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Image parseFrom(com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.Image parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Image parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.Image parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Image parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.Image parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Image parseDelimitedFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.Image parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Image parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.Image parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.Image prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * A representation of an image.
+   * Only images up to 30MB in size are supported.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.Image} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.Image) + com.google.cloud.automl.v1beta1.ImageOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_Image_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_Image_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.Image.class, + com.google.cloud.automl.v1beta1.Image.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.Image.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + thumbnailUri_ = ""; + + dataCase_ = 0; + data_ = null; + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_Image_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Image getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.Image.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Image build() { + com.google.cloud.automl.v1beta1.Image result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Image buildPartial() { + com.google.cloud.automl.v1beta1.Image result = + new com.google.cloud.automl.v1beta1.Image(this); + if (dataCase_ == 1) { + result.data_ = data_; + } + if (dataCase_ == 6) { + if (inputConfigBuilder_ == null) { + result.data_ = data_; + } else { + result.data_ = inputConfigBuilder_.build(); + } + } + result.thumbnailUri_ = thumbnailUri_; + result.dataCase_ = dataCase_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.Image) { + return mergeFrom((com.google.cloud.automl.v1beta1.Image) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.Image other) { + if (other == com.google.cloud.automl.v1beta1.Image.getDefaultInstance()) return this; + if (!other.getThumbnailUri().isEmpty()) { + thumbnailUri_ = other.thumbnailUri_; + onChanged(); + } + switch (other.getDataCase()) { + case IMAGE_BYTES: + { + setImageBytes(other.getImageBytes()); + break; + } + case INPUT_CONFIG: + { + mergeInputConfig(other.getInputConfig()); + break; + } + case DATA_NOT_SET: + { + break; + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.Image parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.Image) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int dataCase_ = 0; + private java.lang.Object data_; + + public DataCase getDataCase() { + return DataCase.forNumber(dataCase_); + } + + public Builder clearData() { + dataCase_ = 0; + data_ = null; + onChanged(); + return this; + } + + /** + * + * + * 
+     * Image content represented as a stream of bytes.
+     * Note: As with all `bytes` fields, protobuffers use a pure binary
+     * representation, whereas JSON representations use base64.
+     *
+ * + * bytes image_bytes = 1; + * + * @return The imageBytes. + */ + public com.google.protobuf.ByteString getImageBytes() { + if (dataCase_ == 1) { + return (com.google.protobuf.ByteString) data_; + } + return com.google.protobuf.ByteString.EMPTY; + } + /** + * + * + * 
+     * Image content represented as a stream of bytes.
+     * Note: As with all `bytes` fields, protobuffers use a pure binary
+     * representation, whereas JSON representations use base64.
+     *
+ * + * bytes image_bytes = 1; + * + * @param value The imageBytes to set. + * @return This builder for chaining. + */ + public Builder setImageBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + dataCase_ = 1; + data_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Image content represented as a stream of bytes.
+     * Note: As with all `bytes` fields, protobuffers use a pure binary
+     * representation, whereas JSON representations use base64.
+     *
+ * + * bytes image_bytes = 1; + * + * @return This builder for chaining. + */ + public Builder clearImageBytes() { + if (dataCase_ == 1) { + dataCase_ = 0; + data_ = null; + onChanged(); + } + return this; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.InputConfig, + com.google.cloud.automl.v1beta1.InputConfig.Builder, + com.google.cloud.automl.v1beta1.InputConfigOrBuilder> + inputConfigBuilder_; + /** + * + * + * 
+     * An input config specifying the content of the image.
+     *
+ * + * .google.cloud.automl.v1beta1.InputConfig input_config = 6; + * + * @return Whether the inputConfig field is set. + */ + public boolean hasInputConfig() { + return dataCase_ == 6; + } + /** + * + * + * 
+     * An input config specifying the content of the image.
+     *
+ * + * .google.cloud.automl.v1beta1.InputConfig input_config = 6; + * + * @return The inputConfig. + */ + public com.google.cloud.automl.v1beta1.InputConfig getInputConfig() { + if (inputConfigBuilder_ == null) { + if (dataCase_ == 6) { + return (com.google.cloud.automl.v1beta1.InputConfig) data_; + } + return com.google.cloud.automl.v1beta1.InputConfig.getDefaultInstance(); + } else { + if (dataCase_ == 6) { + return inputConfigBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.InputConfig.getDefaultInstance(); + } + } + /** + * + * + * 
+     * An input config specifying the content of the image.
+     *
+ * + * .google.cloud.automl.v1beta1.InputConfig input_config = 6; + */ + public Builder setInputConfig(com.google.cloud.automl.v1beta1.InputConfig value) { + if (inputConfigBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + data_ = value; + onChanged(); + } else { + inputConfigBuilder_.setMessage(value); + } + dataCase_ = 6; + return this; + } + /** + * + * + * 
+     * An input config specifying the content of the image.
+     *
+ * + * .google.cloud.automl.v1beta1.InputConfig input_config = 6; + */ + public Builder setInputConfig( + com.google.cloud.automl.v1beta1.InputConfig.Builder builderForValue) { + if (inputConfigBuilder_ == null) { + data_ = builderForValue.build(); + onChanged(); + } else { + inputConfigBuilder_.setMessage(builderForValue.build()); + } + dataCase_ = 6; + return this; + } + /** + * + * + * 
+     * An input config specifying the content of the image.
+     *
+ * + * .google.cloud.automl.v1beta1.InputConfig input_config = 6; + */ + public Builder mergeInputConfig(com.google.cloud.automl.v1beta1.InputConfig value) { + if (inputConfigBuilder_ == null) { + if (dataCase_ == 6 + && data_ != com.google.cloud.automl.v1beta1.InputConfig.getDefaultInstance()) { + data_ = + com.google.cloud.automl.v1beta1.InputConfig.newBuilder( + (com.google.cloud.automl.v1beta1.InputConfig) data_) + .mergeFrom(value) + .buildPartial(); + } else { + data_ = value; + } + onChanged(); + } else { + if (dataCase_ == 6) { + inputConfigBuilder_.mergeFrom(value); + } + inputConfigBuilder_.setMessage(value); + } + dataCase_ = 6; + return this; + } + /** + * + * + * 
+     * An input config specifying the content of the image.
+     *
+ * + * .google.cloud.automl.v1beta1.InputConfig input_config = 6; + */ + public Builder clearInputConfig() { + if (inputConfigBuilder_ == null) { + if (dataCase_ == 6) { + dataCase_ = 0; + data_ = null; + onChanged(); + } + } else { + if (dataCase_ == 6) { + dataCase_ = 0; + data_ = null; + } + inputConfigBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * An input config specifying the content of the image.
+     *
+ * + * .google.cloud.automl.v1beta1.InputConfig input_config = 6; + */ + public com.google.cloud.automl.v1beta1.InputConfig.Builder getInputConfigBuilder() { + return getInputConfigFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * An input config specifying the content of the image.
+     *
+ * + * .google.cloud.automl.v1beta1.InputConfig input_config = 6; + */ + public com.google.cloud.automl.v1beta1.InputConfigOrBuilder getInputConfigOrBuilder() { + if ((dataCase_ == 6) && (inputConfigBuilder_ != null)) { + return inputConfigBuilder_.getMessageOrBuilder(); + } else { + if (dataCase_ == 6) { + return (com.google.cloud.automl.v1beta1.InputConfig) data_; + } + return com.google.cloud.automl.v1beta1.InputConfig.getDefaultInstance(); + } + } + /** + * + * + * 
+     * An input config specifying the content of the image.
+     *
+ * + * .google.cloud.automl.v1beta1.InputConfig input_config = 6; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.InputConfig, + com.google.cloud.automl.v1beta1.InputConfig.Builder, + com.google.cloud.automl.v1beta1.InputConfigOrBuilder> + getInputConfigFieldBuilder() { + if (inputConfigBuilder_ == null) { + if (!(dataCase_ == 6)) { + data_ = com.google.cloud.automl.v1beta1.InputConfig.getDefaultInstance(); + } + inputConfigBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.InputConfig, + com.google.cloud.automl.v1beta1.InputConfig.Builder, + com.google.cloud.automl.v1beta1.InputConfigOrBuilder>( + (com.google.cloud.automl.v1beta1.InputConfig) data_, + getParentForChildren(), + isClean()); + data_ = null; + } + dataCase_ = 6; + onChanged(); + ; + return inputConfigBuilder_; + } + + private java.lang.Object thumbnailUri_ = ""; + /** + * + * + * 
+     * Output only. HTTP URI to the thumbnail image.
+     *
+ * + * string thumbnail_uri = 4; + * + * @return The thumbnailUri. + */ + public java.lang.String getThumbnailUri() { + java.lang.Object ref = thumbnailUri_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + thumbnailUri_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Output only. HTTP URI to the thumbnail image.
+     *
+ * + * string thumbnail_uri = 4; + * + * @return The bytes for thumbnailUri. + */ + public com.google.protobuf.ByteString getThumbnailUriBytes() { + java.lang.Object ref = thumbnailUri_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + thumbnailUri_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Output only. HTTP URI to the thumbnail image.
+     *
+ * + * string thumbnail_uri = 4; + * + * @param value The thumbnailUri to set. + * @return This builder for chaining. + */ + public Builder setThumbnailUri(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + thumbnailUri_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. HTTP URI to the thumbnail image.
+     *
+ * + * string thumbnail_uri = 4; + * + * @return This builder for chaining. + */ + public Builder clearThumbnailUri() { + + thumbnailUri_ = getDefaultInstance().getThumbnailUri(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. HTTP URI to the thumbnail image.
+     *
+ * + * string thumbnail_uri = 4; + * + * @param value The bytes for thumbnailUri to set. + * @return This builder for chaining. + */ + public Builder setThumbnailUriBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + thumbnailUri_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.Image) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.Image) + private static final com.google.cloud.automl.v1beta1.Image DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.Image(); + } + + public static com.google.cloud.automl.v1beta1.Image getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public Image parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new Image(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Image getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationDatasetMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationDatasetMetadata.java new file mode 100644 index 000000000..9aaa8df24 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationDatasetMetadata.java @@ -0,0 +1,630 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/image.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Dataset metadata that is specific to image classification.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata} + */ +public final class ImageClassificationDatasetMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata) + ImageClassificationDatasetMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use ImageClassificationDatasetMetadata.newBuilder() to construct. + private ImageClassificationDatasetMetadata( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ImageClassificationDatasetMetadata() { + classificationType_ = 0; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ImageClassificationDatasetMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ImageClassificationDatasetMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 8: + { + int rawValue = input.readEnum(); + + classificationType_ = rawValue; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageClassificationDatasetMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageClassificationDatasetMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata.class, + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata.Builder.class); + } + + public static final int CLASSIFICATION_TYPE_FIELD_NUMBER = 1; + private int classificationType_; + /** + * + * + * 
+   * Required. Type of the classification problem.
+   *
+ * + * .google.cloud.automl.v1beta1.ClassificationType classification_type = 1; + * + * @return The enum numeric value on the wire for classificationType. + */ + public int getClassificationTypeValue() { + return classificationType_; + } + /** + * + * + * 
+   * Required. Type of the classification problem.
+   *
+ * + * .google.cloud.automl.v1beta1.ClassificationType classification_type = 1; + * + * @return The classificationType. + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType + getClassificationType() { + @SuppressWarnings("deprecation") + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType result = + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType.valueOf( + classificationType_); + return result == null + ? com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType.UNRECOGNIZED + : result; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (classificationType_ + != com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType + .CLASSIFICATION_TYPE_UNSPECIFIED + .getNumber()) { + output.writeEnum(1, classificationType_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (classificationType_ + != com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType + .CLASSIFICATION_TYPE_UNSPECIFIED + .getNumber()) { + size += com.google.protobuf.CodedOutputStream.computeEnumSize(1, classificationType_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata other = + (com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata) obj; + + if (classificationType_ != other.classificationType_) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + CLASSIFICATION_TYPE_FIELD_NUMBER; + hash = (53 * hash) + classificationType_; + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata parseFrom( + byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Dataset metadata that is specific to image classification.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata) + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageClassificationDatasetMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageClassificationDatasetMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata.class, + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata.Builder.class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + classificationType_ = 0; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageClassificationDatasetMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata + .getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata build() { + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata buildPartial() { + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata result = + new com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata(this); + result.classificationType_ = classificationType_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata other) { + if (other + == com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata + .getDefaultInstance()) return this; + if (other.classificationType_ != 0) { + setClassificationTypeValue(other.getClassificationTypeValue()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int classificationType_ = 0; + /** + * + * + * 
+     * Required. Type of the classification problem.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationType classification_type = 1; + * + * @return The enum numeric value on the wire for classificationType. + */ + public int getClassificationTypeValue() { + return classificationType_; + } + /** + * + * + * 
+     * Required. Type of the classification problem.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationType classification_type = 1; + * + * @param value The enum numeric value on the wire for classificationType to set. + * @return This builder for chaining. + */ + public Builder setClassificationTypeValue(int value) { + classificationType_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Type of the classification problem.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationType classification_type = 1; + * + * @return The classificationType. + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType + getClassificationType() { + @SuppressWarnings("deprecation") + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType result = + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType.valueOf( + classificationType_); + return result == null + ? com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType.UNRECOGNIZED + : result; + } + /** + * + * + * 
+     * Required. Type of the classification problem.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationType classification_type = 1; + * + * @param value The classificationType to set. + * @return This builder for chaining. + */ + public Builder setClassificationType( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType value) { + if (value == null) { + throw new NullPointerException(); + } + + classificationType_ = value.getNumber(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Type of the classification problem.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationType classification_type = 1; + * + * @return This builder for chaining. + */ + public Builder clearClassificationType() { + + classificationType_ = 0; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata) + private static final com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata(); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ImageClassificationDatasetMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ImageClassificationDatasetMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationDatasetMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationDatasetMetadataOrBuilder.java new file mode 100644 index 000000000..b7c177d77 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationDatasetMetadataOrBuilder.java @@ -0,0 +1,50 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/image.proto + +package com.google.cloud.automl.v1beta1; + +public interface ImageClassificationDatasetMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. Type of the classification problem.
+   *
+ * + * .google.cloud.automl.v1beta1.ClassificationType classification_type = 1; + * + * @return The enum numeric value on the wire for classificationType. + */ + int getClassificationTypeValue(); + /** + * + * + * 
+   * Required. Type of the classification problem.
+   *
+ * + * .google.cloud.automl.v1beta1.ClassificationType classification_type = 1; + * + * @return The classificationType. + */ + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType getClassificationType(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationModelDeploymentMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationModelDeploymentMetadata.java new file mode 100644 index 000000000..8c79e9c1a --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationModelDeploymentMetadata.java @@ -0,0 +1,588 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/image.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Model deployment metadata specific to Image Classification.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata} + */ +public final class ImageClassificationModelDeploymentMetadata + extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata) + ImageClassificationModelDeploymentMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use ImageClassificationModelDeploymentMetadata.newBuilder() to construct. + private ImageClassificationModelDeploymentMetadata( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ImageClassificationModelDeploymentMetadata() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ImageClassificationModelDeploymentMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ImageClassificationModelDeploymentMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 8: + { + nodeCount_ = input.readInt64(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageClassificationModelDeploymentMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageClassificationModelDeploymentMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata.class, + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata.Builder + .class); + } + + public static final int NODE_COUNT_FIELD_NUMBER = 1; + private long nodeCount_; + /** + * + * + * 
+   * Input only. The number of nodes to deploy the model on. A node is an
+   * abstraction of a machine resource, which can handle online prediction QPS
+   * as given in the model's
+   * [node_qps][google.cloud.automl.v1beta1.ImageClassificationModelMetadata.node_qps].
+   * Must be between 1 and 100, inclusive on both ends.
+   *
+ * + * int64 node_count = 1; + * + * @return The nodeCount. + */ + public long getNodeCount() { + return nodeCount_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (nodeCount_ != 0L) { + output.writeInt64(1, nodeCount_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (nodeCount_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(1, nodeCount_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj + instanceof com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata other = + (com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata) obj; + + if (getNodeCount() != other.getNodeCount()) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + NODE_COUNT_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getNodeCount()); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + parseFrom(com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + parseFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Model deployment metadata specific to Image Classification.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata) + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageClassificationModelDeploymentMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageClassificationModelDeploymentMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata.class, + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata.Builder + .class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + nodeCount_ = 0L; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageClassificationModelDeploymentMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + .getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata build() { + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata result = + buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + buildPartial() { + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata result = + new com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata(this); + result.nodeCount_ = nodeCount_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other + instanceof com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata other) { + if (other + == com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + .getDefaultInstance()) return this; + if (other.getNodeCount() != 0L) { + setNodeCount(other.getNodeCount()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata parsedMessage = + null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private long nodeCount_; + /** + * + * + * 
+     * Input only. The number of nodes to deploy the model on. A node is an
+     * abstraction of a machine resource, which can handle online prediction QPS
+     * as given in the model's
+     * [node_qps][google.cloud.automl.v1beta1.ImageClassificationModelMetadata.node_qps].
+     * Must be between 1 and 100, inclusive on both ends.
+     *
+ * + * int64 node_count = 1; + * + * @return The nodeCount. + */ + public long getNodeCount() { + return nodeCount_; + } + /** + * + * + * 
+     * Input only. The number of nodes to deploy the model on. A node is an
+     * abstraction of a machine resource, which can handle online prediction QPS
+     * as given in the model's
+     * [node_qps][google.cloud.automl.v1beta1.ImageClassificationModelMetadata.node_qps].
+     * Must be between 1 and 100, inclusive on both ends.
+     *
+ * + * int64 node_count = 1; + * + * @param value The nodeCount to set. + * @return This builder for chaining. + */ + public Builder setNodeCount(long value) { + + nodeCount_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Input only. The number of nodes to deploy the model on. A node is an
+     * abstraction of a machine resource, which can handle online prediction QPS
+     * as given in the model's
+     * [node_qps][google.cloud.automl.v1beta1.ImageClassificationModelMetadata.node_qps].
+     * Must be between 1 and 100, inclusive on both ends.
+     *
+ * + * int64 node_count = 1; + * + * @return This builder for chaining. + */ + public Builder clearNodeCount() { + + nodeCount_ = 0L; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata) + private static final com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = + new com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata(); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser + PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ImageClassificationModelDeploymentMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ImageClassificationModelDeploymentMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationModelDeploymentMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationModelDeploymentMetadataOrBuilder.java new file mode 100644 index 000000000..f40580896 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationModelDeploymentMetadataOrBuilder.java @@ -0,0 +1,42 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/image.proto + +package com.google.cloud.automl.v1beta1; + +public interface ImageClassificationModelDeploymentMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Input only. The number of nodes to deploy the model on. A node is an
+   * abstraction of a machine resource, which can handle online prediction QPS
+   * as given in the model's
+   * [node_qps][google.cloud.automl.v1beta1.ImageClassificationModelMetadata.node_qps].
+   * Must be between 1 and 100, inclusive on both ends.
+   *
+ * + * int64 node_count = 1; + * + * @return The nodeCount. + */ + long getNodeCount(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationModelMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationModelMetadata.java new file mode 100644 index 000000000..df7cebd9d --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationModelMetadata.java @@ -0,0 +1,1636 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/image.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Model metadata for image classification.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ImageClassificationModelMetadata} + */ +public final class ImageClassificationModelMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ImageClassificationModelMetadata) + ImageClassificationModelMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use ImageClassificationModelMetadata.newBuilder() to construct. + private ImageClassificationModelMetadata( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ImageClassificationModelMetadata() { + baseModelId_ = ""; + stopReason_ = ""; + modelType_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ImageClassificationModelMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ImageClassificationModelMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + baseModelId_ = s; + break; + } + case 16: + { + trainBudget_ = input.readInt64(); + break; + } + case 24: + { + trainCost_ = input.readInt64(); + break; + } + case 42: + { + java.lang.String s = input.readStringRequireUtf8(); + + stopReason_ = s; + break; + } + case 58: + { + java.lang.String s = input.readStringRequireUtf8(); + + modelType_ = s; + break; + } + case 105: + { + nodeQps_ = input.readDouble(); + break; + } + case 112: + { + nodeCount_ = input.readInt64(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageClassificationModelMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageClassificationModelMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.class, + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.Builder.class); + } + + public static final int BASE_MODEL_ID_FIELD_NUMBER = 1; + private volatile java.lang.Object baseModelId_; + /** + * + * + * 
+   * Optional. The ID of the `base` model. If it is specified, the new model
+   * will be created based on the `base` model. Otherwise, the new model will be
+   * created from scratch. The `base` model must be in the same
+   * `project` and `location` as the new model to create, and have the same
+   * `model_type`.
+   *
+ * + * string base_model_id = 1; + * + * @return The baseModelId. + */ + public java.lang.String getBaseModelId() { + java.lang.Object ref = baseModelId_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + baseModelId_ = s; + return s; + } + } + /** + * + * + * 
+   * Optional. The ID of the `base` model. If it is specified, the new model
+   * will be created based on the `base` model. Otherwise, the new model will be
+   * created from scratch. The `base` model must be in the same
+   * `project` and `location` as the new model to create, and have the same
+   * `model_type`.
+   *
+ * + * string base_model_id = 1; + * + * @return The bytes for baseModelId. + */ + public com.google.protobuf.ByteString getBaseModelIdBytes() { + java.lang.Object ref = baseModelId_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + baseModelId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int TRAIN_BUDGET_FIELD_NUMBER = 2; + private long trainBudget_; + /** + * + * + * 
+   * Required. The train budget of creating this model, expressed in hours. The
+   * actual `train_cost` will be equal or less than this value.
+   *
+ * + * int64 train_budget = 2; + * + * @return The trainBudget. + */ + public long getTrainBudget() { + return trainBudget_; + } + + public static final int TRAIN_COST_FIELD_NUMBER = 3; + private long trainCost_; + /** + * + * + * 
+   * Output only. The actual train cost of creating this model, expressed in
+   * hours. If this model is created from a `base` model, the train cost used
+   * to create the `base` model are not included.
+   *
+ * + * int64 train_cost = 3; + * + * @return The trainCost. + */ + public long getTrainCost() { + return trainCost_; + } + + public static final int STOP_REASON_FIELD_NUMBER = 5; + private volatile java.lang.Object stopReason_; + /** + * + * + * 
+   * Output only. The reason that this create model operation stopped,
+   * e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
+   *
+ * + * string stop_reason = 5; + * + * @return The stopReason. + */ + public java.lang.String getStopReason() { + java.lang.Object ref = stopReason_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + stopReason_ = s; + return s; + } + } + /** + * + * + * 
+   * Output only. The reason that this create model operation stopped,
+   * e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
+   *
+ * + * string stop_reason = 5; + * + * @return The bytes for stopReason. + */ + public com.google.protobuf.ByteString getStopReasonBytes() { + java.lang.Object ref = stopReason_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + stopReason_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int MODEL_TYPE_FIELD_NUMBER = 7; + private volatile java.lang.Object modelType_; + /** + * + * + * 
+   * Optional. Type of the model. The available values are:
+   * *   `cloud` - Model to be used via prediction calls to AutoML API.
+   *               This is the default value.
+   * *   `mobile-low-latency-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards. Expected to have low latency, but
+   *               may have lower prediction quality than other models.
+   * *   `mobile-versatile-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards.
+   * *   `mobile-high-accuracy-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards.  Expected to have a higher
+   *               latency, but should also have a higher prediction quality
+   *               than other models.
+   * *   `mobile-core-ml-low-latency-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+   *               ML afterwards. Expected to have low latency, but may have
+   *               lower prediction quality than other models.
+   * *   `mobile-core-ml-versatile-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+   *               ML afterwards.
+   * *   `mobile-core-ml-high-accuracy-1` - A model that, in addition to
+   *               providing prediction via AutoML API, can also be exported
+   *               (see [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with
+   *               Core ML afterwards.  Expected to have a higher latency, but
+   *               should also have a higher prediction quality than other
+   *               models.
+   *
+ * + * string model_type = 7; + * + * @return The modelType. + */ + public java.lang.String getModelType() { + java.lang.Object ref = modelType_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + modelType_ = s; + return s; + } + } + /** + * + * + * 
+   * Optional. Type of the model. The available values are:
+   * *   `cloud` - Model to be used via prediction calls to AutoML API.
+   *               This is the default value.
+   * *   `mobile-low-latency-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards. Expected to have low latency, but
+   *               may have lower prediction quality than other models.
+   * *   `mobile-versatile-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards.
+   * *   `mobile-high-accuracy-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards.  Expected to have a higher
+   *               latency, but should also have a higher prediction quality
+   *               than other models.
+   * *   `mobile-core-ml-low-latency-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+   *               ML afterwards. Expected to have low latency, but may have
+   *               lower prediction quality than other models.
+   * *   `mobile-core-ml-versatile-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+   *               ML afterwards.
+   * *   `mobile-core-ml-high-accuracy-1` - A model that, in addition to
+   *               providing prediction via AutoML API, can also be exported
+   *               (see [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with
+   *               Core ML afterwards.  Expected to have a higher latency, but
+   *               should also have a higher prediction quality than other
+   *               models.
+   *
+ * + * string model_type = 7; + * + * @return The bytes for modelType. + */ + public com.google.protobuf.ByteString getModelTypeBytes() { + java.lang.Object ref = modelType_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + modelType_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int NODE_QPS_FIELD_NUMBER = 13; + private double nodeQps_; + /** + * + * + * 
+   * Output only. An approximate number of online prediction QPS that can
+   * be supported by this model per each node on which it is deployed.
+   *
+ * + * double node_qps = 13; + * + * @return The nodeQps. + */ + public double getNodeQps() { + return nodeQps_; + } + + public static final int NODE_COUNT_FIELD_NUMBER = 14; + private long nodeCount_; + /** + * + * + * 
+   * Output only. The number of nodes this model is deployed on. A node is an
+   * abstraction of a machine resource, which can handle online prediction QPS
+   * as given in the node_qps field.
+   *
+ * + * int64 node_count = 14; + * + * @return The nodeCount. + */ + public long getNodeCount() { + return nodeCount_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getBaseModelIdBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, baseModelId_); + } + if (trainBudget_ != 0L) { + output.writeInt64(2, trainBudget_); + } + if (trainCost_ != 0L) { + output.writeInt64(3, trainCost_); + } + if (!getStopReasonBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 5, stopReason_); + } + if (!getModelTypeBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 7, modelType_); + } + if (nodeQps_ != 0D) { + output.writeDouble(13, nodeQps_); + } + if (nodeCount_ != 0L) { + output.writeInt64(14, nodeCount_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getBaseModelIdBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, baseModelId_); + } + if (trainBudget_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(2, trainBudget_); + } + if (trainCost_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(3, trainCost_); + } + if (!getStopReasonBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(5, stopReason_); + } + if (!getModelTypeBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(7, modelType_); + } + if (nodeQps_ != 0D) { + size += com.google.protobuf.CodedOutputStream.computeDoubleSize(13, nodeQps_); + } + if (nodeCount_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(14, nodeCount_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata other = + (com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata) obj; + + if (!getBaseModelId().equals(other.getBaseModelId())) return false; + if (getTrainBudget() != other.getTrainBudget()) return false; + if (getTrainCost() != other.getTrainCost()) return false; + if (!getStopReason().equals(other.getStopReason())) return false; + if (!getModelType().equals(other.getModelType())) return false; + if (java.lang.Double.doubleToLongBits(getNodeQps()) + != java.lang.Double.doubleToLongBits(other.getNodeQps())) return false; + if (getNodeCount() != other.getNodeCount()) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + BASE_MODEL_ID_FIELD_NUMBER; + hash = (53 * hash) + getBaseModelId().hashCode(); + hash = (37 * hash) + TRAIN_BUDGET_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getTrainBudget()); + hash = (37 * hash) + TRAIN_COST_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getTrainCost()); + hash = (37 * hash) + STOP_REASON_FIELD_NUMBER; + hash = (53 * hash) + getStopReason().hashCode(); + hash = (37 * hash) + MODEL_TYPE_FIELD_NUMBER; + hash = (53 * hash) + getModelType().hashCode(); + hash = (37 * hash) + NODE_QPS_FIELD_NUMBER; + hash = + (53 * hash) + + com.google.protobuf.Internal.hashLong( + java.lang.Double.doubleToLongBits(getNodeQps())); + hash = (37 * hash) + NODE_COUNT_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getNodeCount()); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata parseFrom( + byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Model metadata for image classification.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ImageClassificationModelMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ImageClassificationModelMetadata) + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageClassificationModelMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageClassificationModelMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.class, + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + baseModelId_ = ""; + + trainBudget_ = 0L; + + trainCost_ = 0L; + + stopReason_ = ""; + + modelType_ = ""; + + nodeQps_ = 0D; + + nodeCount_ = 0L; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageClassificationModelMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata build() { + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata buildPartial() { + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata result = + new com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata(this); + result.baseModelId_ = baseModelId_; + result.trainBudget_ = trainBudget_; + result.trainCost_ = trainCost_; + result.stopReason_ = stopReason_; + result.modelType_ = modelType_; + result.nodeQps_ = nodeQps_; + result.nodeCount_ = nodeCount_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata other) { + if (other + == com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.getDefaultInstance()) + return this; + if (!other.getBaseModelId().isEmpty()) { + baseModelId_ = other.baseModelId_; + onChanged(); + } + if (other.getTrainBudget() != 0L) { + setTrainBudget(other.getTrainBudget()); + } + if (other.getTrainCost() != 0L) { + setTrainCost(other.getTrainCost()); + } + if (!other.getStopReason().isEmpty()) { + stopReason_ = other.stopReason_; + onChanged(); + } + if (!other.getModelType().isEmpty()) { + modelType_ = other.modelType_; + onChanged(); + } + if (other.getNodeQps() != 0D) { + setNodeQps(other.getNodeQps()); + } + if (other.getNodeCount() != 0L) { + setNodeCount(other.getNodeCount()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object baseModelId_ = ""; + /** + * + * + * 
+     * Optional. The ID of the `base` model. If it is specified, the new model
+     * will be created based on the `base` model. Otherwise, the new model will be
+     * created from scratch. The `base` model must be in the same
+     * `project` and `location` as the new model to create, and have the same
+     * `model_type`.
+     *
+ * + * string base_model_id = 1; + * + * @return The baseModelId. + */ + public java.lang.String getBaseModelId() { + java.lang.Object ref = baseModelId_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + baseModelId_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Optional. The ID of the `base` model. If it is specified, the new model
+     * will be created based on the `base` model. Otherwise, the new model will be
+     * created from scratch. The `base` model must be in the same
+     * `project` and `location` as the new model to create, and have the same
+     * `model_type`.
+     *
+ * + * string base_model_id = 1; + * + * @return The bytes for baseModelId. + */ + public com.google.protobuf.ByteString getBaseModelIdBytes() { + java.lang.Object ref = baseModelId_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + baseModelId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Optional. The ID of the `base` model. If it is specified, the new model
+     * will be created based on the `base` model. Otherwise, the new model will be
+     * created from scratch. The `base` model must be in the same
+     * `project` and `location` as the new model to create, and have the same
+     * `model_type`.
+     *
+ * + * string base_model_id = 1; + * + * @param value The baseModelId to set. + * @return This builder for chaining. + */ + public Builder setBaseModelId(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + baseModelId_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Optional. The ID of the `base` model. If it is specified, the new model
+     * will be created based on the `base` model. Otherwise, the new model will be
+     * created from scratch. The `base` model must be in the same
+     * `project` and `location` as the new model to create, and have the same
+     * `model_type`.
+     *
+ * + * string base_model_id = 1; + * + * @return This builder for chaining. + */ + public Builder clearBaseModelId() { + + baseModelId_ = getDefaultInstance().getBaseModelId(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Optional. The ID of the `base` model. If it is specified, the new model
+     * will be created based on the `base` model. Otherwise, the new model will be
+     * created from scratch. The `base` model must be in the same
+     * `project` and `location` as the new model to create, and have the same
+     * `model_type`.
+     *
+ * + * string base_model_id = 1; + * + * @param value The bytes for baseModelId to set. + * @return This builder for chaining. + */ + public Builder setBaseModelIdBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + baseModelId_ = value; + onChanged(); + return this; + } + + private long trainBudget_; + /** + * + * + * 
+     * Required. The train budget of creating this model, expressed in hours. The
+     * actual `train_cost` will be equal or less than this value.
+     *
+ * + * int64 train_budget = 2; + * + * @return The trainBudget. + */ + public long getTrainBudget() { + return trainBudget_; + } + /** + * + * + * 
+     * Required. The train budget of creating this model, expressed in hours. The
+     * actual `train_cost` will be equal or less than this value.
+     *
+ * + * int64 train_budget = 2; + * + * @param value The trainBudget to set. + * @return This builder for chaining. + */ + public Builder setTrainBudget(long value) { + + trainBudget_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The train budget of creating this model, expressed in hours. The
+     * actual `train_cost` will be equal or less than this value.
+     *
+ * + * int64 train_budget = 2; + * + * @return This builder for chaining. + */ + public Builder clearTrainBudget() { + + trainBudget_ = 0L; + onChanged(); + return this; + } + + private long trainCost_; + /** + * + * + * 
+     * Output only. The actual train cost of creating this model, expressed in
+     * hours. If this model is created from a `base` model, the train cost used
+     * to create the `base` model are not included.
+     *
+ * + * int64 train_cost = 3; + * + * @return The trainCost. + */ + public long getTrainCost() { + return trainCost_; + } + /** + * + * + * 
+     * Output only. The actual train cost of creating this model, expressed in
+     * hours. If this model is created from a `base` model, the train cost used
+     * to create the `base` model are not included.
+     *
+ * + * int64 train_cost = 3; + * + * @param value The trainCost to set. + * @return This builder for chaining. + */ + public Builder setTrainCost(long value) { + + trainCost_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The actual train cost of creating this model, expressed in
+     * hours. If this model is created from a `base` model, the train cost used
+     * to create the `base` model are not included.
+     *
+ * + * int64 train_cost = 3; + * + * @return This builder for chaining. + */ + public Builder clearTrainCost() { + + trainCost_ = 0L; + onChanged(); + return this; + } + + private java.lang.Object stopReason_ = ""; + /** + * + * + * 
+     * Output only. The reason that this create model operation stopped,
+     * e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
+     *
+ * + * string stop_reason = 5; + * + * @return The stopReason. + */ + public java.lang.String getStopReason() { + java.lang.Object ref = stopReason_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + stopReason_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Output only. The reason that this create model operation stopped,
+     * e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
+     *
+ * + * string stop_reason = 5; + * + * @return The bytes for stopReason. + */ + public com.google.protobuf.ByteString getStopReasonBytes() { + java.lang.Object ref = stopReason_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + stopReason_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Output only. The reason that this create model operation stopped,
+     * e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
+     *
+ * + * string stop_reason = 5; + * + * @param value The stopReason to set. + * @return This builder for chaining. + */ + public Builder setStopReason(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + stopReason_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The reason that this create model operation stopped,
+     * e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
+     *
+ * + * string stop_reason = 5; + * + * @return This builder for chaining. + */ + public Builder clearStopReason() { + + stopReason_ = getDefaultInstance().getStopReason(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The reason that this create model operation stopped,
+     * e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
+     *
+ * + * string stop_reason = 5; + * + * @param value The bytes for stopReason to set. + * @return This builder for chaining. + */ + public Builder setStopReasonBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + stopReason_ = value; + onChanged(); + return this; + } + + private java.lang.Object modelType_ = ""; + /** + * + * + * 
+     * Optional. Type of the model. The available values are:
+     * *   `cloud` - Model to be used via prediction calls to AutoML API.
+     *               This is the default value.
+     * *   `mobile-low-latency-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards. Expected to have low latency, but
+     *               may have lower prediction quality than other models.
+     * *   `mobile-versatile-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.
+     * *   `mobile-high-accuracy-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.  Expected to have a higher
+     *               latency, but should also have a higher prediction quality
+     *               than other models.
+     * *   `mobile-core-ml-low-latency-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+     *               ML afterwards. Expected to have low latency, but may have
+     *               lower prediction quality than other models.
+     * *   `mobile-core-ml-versatile-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+     *               ML afterwards.
+     * *   `mobile-core-ml-high-accuracy-1` - A model that, in addition to
+     *               providing prediction via AutoML API, can also be exported
+     *               (see [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with
+     *               Core ML afterwards.  Expected to have a higher latency, but
+     *               should also have a higher prediction quality than other
+     *               models.
+     *
+ * + * string model_type = 7; + * + * @return The modelType. + */ + public java.lang.String getModelType() { + java.lang.Object ref = modelType_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + modelType_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Optional. Type of the model. The available values are:
+     * *   `cloud` - Model to be used via prediction calls to AutoML API.
+     *               This is the default value.
+     * *   `mobile-low-latency-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards. Expected to have low latency, but
+     *               may have lower prediction quality than other models.
+     * *   `mobile-versatile-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.
+     * *   `mobile-high-accuracy-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.  Expected to have a higher
+     *               latency, but should also have a higher prediction quality
+     *               than other models.
+     * *   `mobile-core-ml-low-latency-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+     *               ML afterwards. Expected to have low latency, but may have
+     *               lower prediction quality than other models.
+     * *   `mobile-core-ml-versatile-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+     *               ML afterwards.
+     * *   `mobile-core-ml-high-accuracy-1` - A model that, in addition to
+     *               providing prediction via AutoML API, can also be exported
+     *               (see [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with
+     *               Core ML afterwards.  Expected to have a higher latency, but
+     *               should also have a higher prediction quality than other
+     *               models.
+     *
+ * + * string model_type = 7; + * + * @return The bytes for modelType. + */ + public com.google.protobuf.ByteString getModelTypeBytes() { + java.lang.Object ref = modelType_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + modelType_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Optional. Type of the model. The available values are:
+     * *   `cloud` - Model to be used via prediction calls to AutoML API.
+     *               This is the default value.
+     * *   `mobile-low-latency-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards. Expected to have low latency, but
+     *               may have lower prediction quality than other models.
+     * *   `mobile-versatile-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.
+     * *   `mobile-high-accuracy-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.  Expected to have a higher
+     *               latency, but should also have a higher prediction quality
+     *               than other models.
+     * *   `mobile-core-ml-low-latency-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+     *               ML afterwards. Expected to have low latency, but may have
+     *               lower prediction quality than other models.
+     * *   `mobile-core-ml-versatile-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+     *               ML afterwards.
+     * *   `mobile-core-ml-high-accuracy-1` - A model that, in addition to
+     *               providing prediction via AutoML API, can also be exported
+     *               (see [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with
+     *               Core ML afterwards.  Expected to have a higher latency, but
+     *               should also have a higher prediction quality than other
+     *               models.
+     *
+ * + * string model_type = 7; + * + * @param value The modelType to set. + * @return This builder for chaining. + */ + public Builder setModelType(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + modelType_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Optional. Type of the model. The available values are:
+     * *   `cloud` - Model to be used via prediction calls to AutoML API.
+     *               This is the default value.
+     * *   `mobile-low-latency-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards. Expected to have low latency, but
+     *               may have lower prediction quality than other models.
+     * *   `mobile-versatile-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.
+     * *   `mobile-high-accuracy-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.  Expected to have a higher
+     *               latency, but should also have a higher prediction quality
+     *               than other models.
+     * *   `mobile-core-ml-low-latency-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+     *               ML afterwards. Expected to have low latency, but may have
+     *               lower prediction quality than other models.
+     * *   `mobile-core-ml-versatile-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+     *               ML afterwards.
+     * *   `mobile-core-ml-high-accuracy-1` - A model that, in addition to
+     *               providing prediction via AutoML API, can also be exported
+     *               (see [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with
+     *               Core ML afterwards.  Expected to have a higher latency, but
+     *               should also have a higher prediction quality than other
+     *               models.
+     *
+ * + * string model_type = 7; + * + * @return This builder for chaining. + */ + public Builder clearModelType() { + + modelType_ = getDefaultInstance().getModelType(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Optional. Type of the model. The available values are:
+     * *   `cloud` - Model to be used via prediction calls to AutoML API.
+     *               This is the default value.
+     * *   `mobile-low-latency-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards. Expected to have low latency, but
+     *               may have lower prediction quality than other models.
+     * *   `mobile-versatile-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.
+     * *   `mobile-high-accuracy-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.  Expected to have a higher
+     *               latency, but should also have a higher prediction quality
+     *               than other models.
+     * *   `mobile-core-ml-low-latency-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+     *               ML afterwards. Expected to have low latency, but may have
+     *               lower prediction quality than other models.
+     * *   `mobile-core-ml-versatile-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+     *               ML afterwards.
+     * *   `mobile-core-ml-high-accuracy-1` - A model that, in addition to
+     *               providing prediction via AutoML API, can also be exported
+     *               (see [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with
+     *               Core ML afterwards.  Expected to have a higher latency, but
+     *               should also have a higher prediction quality than other
+     *               models.
+     *
+ * + * string model_type = 7; + * + * @param value The bytes for modelType to set. + * @return This builder for chaining. + */ + public Builder setModelTypeBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + modelType_ = value; + onChanged(); + return this; + } + + private double nodeQps_; + /** + * + * + * 
+     * Output only. An approximate number of online prediction QPS that can
+     * be supported by this model per each node on which it is deployed.
+     *
+ * + * double node_qps = 13; + * + * @return The nodeQps. + */ + public double getNodeQps() { + return nodeQps_; + } + /** + * + * + * 
+     * Output only. An approximate number of online prediction QPS that can
+     * be supported by this model per each node on which it is deployed.
+     *
+ * + * double node_qps = 13; + * + * @param value The nodeQps to set. + * @return This builder for chaining. + */ + public Builder setNodeQps(double value) { + + nodeQps_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. An approximate number of online prediction QPS that can
+     * be supported by this model per each node on which it is deployed.
+     *
+ * + * double node_qps = 13; + * + * @return This builder for chaining. + */ + public Builder clearNodeQps() { + + nodeQps_ = 0D; + onChanged(); + return this; + } + + private long nodeCount_; + /** + * + * + * 
+     * Output only. The number of nodes this model is deployed on. A node is an
+     * abstraction of a machine resource, which can handle online prediction QPS
+     * as given in the node_qps field.
+     *
+ * + * int64 node_count = 14; + * + * @return The nodeCount. + */ + public long getNodeCount() { + return nodeCount_; + } + /** + * + * + * 
+     * Output only. The number of nodes this model is deployed on. A node is an
+     * abstraction of a machine resource, which can handle online prediction QPS
+     * as given in the node_qps field.
+     *
+ * + * int64 node_count = 14; + * + * @param value The nodeCount to set. + * @return This builder for chaining. + */ + public Builder setNodeCount(long value) { + + nodeCount_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The number of nodes this model is deployed on. A node is an
+     * abstraction of a machine resource, which can handle online prediction QPS
+     * as given in the node_qps field.
+     *
+ * + * int64 node_count = 14; + * + * @return This builder for chaining. + */ + public Builder clearNodeCount() { + + nodeCount_ = 0L; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ImageClassificationModelMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ImageClassificationModelMetadata) + private static final com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata(); + } + + public static com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ImageClassificationModelMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ImageClassificationModelMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationModelMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationModelMetadataOrBuilder.java new file mode 100644 index 000000000..747152091 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationModelMetadataOrBuilder.java @@ -0,0 +1,232 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/image.proto + +package com.google.cloud.automl.v1beta1; + +public interface ImageClassificationModelMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ImageClassificationModelMetadata) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Optional. The ID of the `base` model. If it is specified, the new model
+   * will be created based on the `base` model. Otherwise, the new model will be
+   * created from scratch. The `base` model must be in the same
+   * `project` and `location` as the new model to create, and have the same
+   * `model_type`.
+   *
+ * + * string base_model_id = 1; + * + * @return The baseModelId. + */ + java.lang.String getBaseModelId(); + /** + * + * + * 
+   * Optional. The ID of the `base` model. If it is specified, the new model
+   * will be created based on the `base` model. Otherwise, the new model will be
+   * created from scratch. The `base` model must be in the same
+   * `project` and `location` as the new model to create, and have the same
+   * `model_type`.
+   *
+ * + * string base_model_id = 1; + * + * @return The bytes for baseModelId. + */ + com.google.protobuf.ByteString getBaseModelIdBytes(); + + /** + * + * + * 
+   * Required. The train budget of creating this model, expressed in hours. The
+   * actual `train_cost` will be equal or less than this value.
+   *
+ * + * int64 train_budget = 2; + * + * @return The trainBudget. + */ + long getTrainBudget(); + + /** + * + * + * 
+   * Output only. The actual train cost of creating this model, expressed in
+   * hours. If this model is created from a `base` model, the train cost used
+   * to create the `base` model are not included.
+   *
+ * + * int64 train_cost = 3; + * + * @return The trainCost. + */ + long getTrainCost(); + + /** + * + * + * 
+   * Output only. The reason that this create model operation stopped,
+   * e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
+   *
+ * + * string stop_reason = 5; + * + * @return The stopReason. + */ + java.lang.String getStopReason(); + /** + * + * + * 
+   * Output only. The reason that this create model operation stopped,
+   * e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
+   *
+ * + * string stop_reason = 5; + * + * @return The bytes for stopReason. + */ + com.google.protobuf.ByteString getStopReasonBytes(); + + /** + * + * + * 
+   * Optional. Type of the model. The available values are:
+   * *   `cloud` - Model to be used via prediction calls to AutoML API.
+   *               This is the default value.
+   * *   `mobile-low-latency-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards. Expected to have low latency, but
+   *               may have lower prediction quality than other models.
+   * *   `mobile-versatile-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards.
+   * *   `mobile-high-accuracy-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards.  Expected to have a higher
+   *               latency, but should also have a higher prediction quality
+   *               than other models.
+   * *   `mobile-core-ml-low-latency-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+   *               ML afterwards. Expected to have low latency, but may have
+   *               lower prediction quality than other models.
+   * *   `mobile-core-ml-versatile-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+   *               ML afterwards.
+   * *   `mobile-core-ml-high-accuracy-1` - A model that, in addition to
+   *               providing prediction via AutoML API, can also be exported
+   *               (see [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with
+   *               Core ML afterwards.  Expected to have a higher latency, but
+   *               should also have a higher prediction quality than other
+   *               models.
+   *
+ * + * string model_type = 7; + * + * @return The modelType. + */ + java.lang.String getModelType(); + /** + * + * + * 
+   * Optional. Type of the model. The available values are:
+   * *   `cloud` - Model to be used via prediction calls to AutoML API.
+   *               This is the default value.
+   * *   `mobile-low-latency-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards. Expected to have low latency, but
+   *               may have lower prediction quality than other models.
+   * *   `mobile-versatile-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards.
+   * *   `mobile-high-accuracy-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards.  Expected to have a higher
+   *               latency, but should also have a higher prediction quality
+   *               than other models.
+   * *   `mobile-core-ml-low-latency-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+   *               ML afterwards. Expected to have low latency, but may have
+   *               lower prediction quality than other models.
+   * *   `mobile-core-ml-versatile-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+   *               ML afterwards.
+   * *   `mobile-core-ml-high-accuracy-1` - A model that, in addition to
+   *               providing prediction via AutoML API, can also be exported
+   *               (see [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with
+   *               Core ML afterwards.  Expected to have a higher latency, but
+   *               should also have a higher prediction quality than other
+   *               models.
+   *
+ * + * string model_type = 7; + * + * @return The bytes for modelType. + */ + com.google.protobuf.ByteString getModelTypeBytes(); + + /** + * + * + * 
+   * Output only. An approximate number of online prediction QPS that can
+   * be supported by this model per each node on which it is deployed.
+   *
+ * + * double node_qps = 13; + * + * @return The nodeQps. + */ + double getNodeQps(); + + /** + * + * + * 
+   * Output only. The number of nodes this model is deployed on. A node is an
+   * abstraction of a machine resource, which can handle online prediction QPS
+   * as given in the node_qps field.
+   *
+ * + * int64 node_count = 14; + * + * @return The nodeCount. + */ + long getNodeCount(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionAnnotation.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionAnnotation.java new file mode 100644 index 000000000..9af41ede3 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionAnnotation.java @@ -0,0 +1,832 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/detection.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Annotation details for image object detection.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation} + */ +public final class ImageObjectDetectionAnnotation extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) + ImageObjectDetectionAnnotationOrBuilder { + private static final long serialVersionUID = 0L; + // Use ImageObjectDetectionAnnotation.newBuilder() to construct. + private ImageObjectDetectionAnnotation( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ImageObjectDetectionAnnotation() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ImageObjectDetectionAnnotation(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ImageObjectDetectionAnnotation( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + com.google.cloud.automl.v1beta1.BoundingPoly.Builder subBuilder = null; + if (boundingBox_ != null) { + subBuilder = boundingBox_.toBuilder(); + } + boundingBox_ = + input.readMessage( + com.google.cloud.automl.v1beta1.BoundingPoly.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(boundingBox_); + boundingBox_ = subBuilder.buildPartial(); + } + + break; + } + case 21: + { + score_ = input.readFloat(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionAnnotation_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionAnnotation_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.class, + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.Builder.class); + } + + public static final int BOUNDING_BOX_FIELD_NUMBER = 1; + private com.google.cloud.automl.v1beta1.BoundingPoly boundingBox_; + /** + * + * + * 
+   * Output only. The rectangle representing the object location.
+   *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1; + * + * @return Whether the boundingBox field is set. + */ + public boolean hasBoundingBox() { + return boundingBox_ != null; + } + /** + * + * + * 
+   * Output only. The rectangle representing the object location.
+   *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1; + * + * @return The boundingBox. + */ + public com.google.cloud.automl.v1beta1.BoundingPoly getBoundingBox() { + return boundingBox_ == null + ? com.google.cloud.automl.v1beta1.BoundingPoly.getDefaultInstance() + : boundingBox_; + } + /** + * + * + * 
+   * Output only. The rectangle representing the object location.
+   *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1; + */ + public com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder getBoundingBoxOrBuilder() { + return getBoundingBox(); + } + + public static final int SCORE_FIELD_NUMBER = 2; + private float score_; + /** + * + * + * 
+   * Output only. The confidence that this annotation is positive for the parent example,
+   * value in [0, 1], higher means higher positivity confidence.
+   *
+ * + * float score = 2; + * + * @return The score. + */ + public float getScore() { + return score_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (boundingBox_ != null) { + output.writeMessage(1, getBoundingBox()); + } + if (score_ != 0F) { + output.writeFloat(2, score_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (boundingBox_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getBoundingBox()); + } + if (score_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(2, score_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation other = + (com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) obj; + + if (hasBoundingBox() != other.hasBoundingBox()) return false; + if (hasBoundingBox()) { + if (!getBoundingBox().equals(other.getBoundingBox())) return false; + } + if (java.lang.Float.floatToIntBits(getScore()) + != java.lang.Float.floatToIntBits(other.getScore())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (hasBoundingBox()) { + hash = (37 * hash) + BOUNDING_BOX_FIELD_NUMBER; + hash = (53 * hash) + getBoundingBox().hashCode(); + } + hash = (37 * hash) + SCORE_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getScore()); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation parseFrom( + byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Annotation details for image object detection.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotationOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionAnnotation_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionAnnotation_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.class, + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (boundingBoxBuilder_ == null) { + boundingBox_ = null; + } else { + boundingBox_ = null; + boundingBoxBuilder_ = null; + } + score_ = 0F; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionAnnotation_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation build() { + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation buildPartial() { + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation result = + new com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation(this); + if (boundingBoxBuilder_ == null) { + result.boundingBox_ = boundingBox_; + } else { + result.boundingBox_ = boundingBoxBuilder_.build(); + } + result.score_ = score_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) { + return mergeFrom((com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation other) { + if (other + == com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.getDefaultInstance()) + return this; + if (other.hasBoundingBox()) { + mergeBoundingBox(other.getBoundingBox()); + } + if (other.getScore() != 0F) { + setScore(other.getScore()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private com.google.cloud.automl.v1beta1.BoundingPoly boundingBox_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BoundingPoly, + com.google.cloud.automl.v1beta1.BoundingPoly.Builder, + com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder> + boundingBoxBuilder_; + /** + * + * + * 
+     * Output only. The rectangle representing the object location.
+     *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1; + * + * @return Whether the boundingBox field is set. + */ + public boolean hasBoundingBox() { + return boundingBoxBuilder_ != null || boundingBox_ != null; + } + /** + * + * + * 
+     * Output only. The rectangle representing the object location.
+     *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1; + * + * @return The boundingBox. + */ + public com.google.cloud.automl.v1beta1.BoundingPoly getBoundingBox() { + if (boundingBoxBuilder_ == null) { + return boundingBox_ == null + ? com.google.cloud.automl.v1beta1.BoundingPoly.getDefaultInstance() + : boundingBox_; + } else { + return boundingBoxBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Output only. The rectangle representing the object location.
+     *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1; + */ + public Builder setBoundingBox(com.google.cloud.automl.v1beta1.BoundingPoly value) { + if (boundingBoxBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + boundingBox_ = value; + onChanged(); + } else { + boundingBoxBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. The rectangle representing the object location.
+     *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1; + */ + public Builder setBoundingBox( + com.google.cloud.automl.v1beta1.BoundingPoly.Builder builderForValue) { + if (boundingBoxBuilder_ == null) { + boundingBox_ = builderForValue.build(); + onChanged(); + } else { + boundingBoxBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Output only. The rectangle representing the object location.
+     *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1; + */ + public Builder mergeBoundingBox(com.google.cloud.automl.v1beta1.BoundingPoly value) { + if (boundingBoxBuilder_ == null) { + if (boundingBox_ != null) { + boundingBox_ = + com.google.cloud.automl.v1beta1.BoundingPoly.newBuilder(boundingBox_) + .mergeFrom(value) + .buildPartial(); + } else { + boundingBox_ = value; + } + onChanged(); + } else { + boundingBoxBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. The rectangle representing the object location.
+     *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1; + */ + public Builder clearBoundingBox() { + if (boundingBoxBuilder_ == null) { + boundingBox_ = null; + onChanged(); + } else { + boundingBox_ = null; + boundingBoxBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Output only. The rectangle representing the object location.
+     *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1; + */ + public com.google.cloud.automl.v1beta1.BoundingPoly.Builder getBoundingBoxBuilder() { + + onChanged(); + return getBoundingBoxFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Output only. The rectangle representing the object location.
+     *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1; + */ + public com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder getBoundingBoxOrBuilder() { + if (boundingBoxBuilder_ != null) { + return boundingBoxBuilder_.getMessageOrBuilder(); + } else { + return boundingBox_ == null + ? com.google.cloud.automl.v1beta1.BoundingPoly.getDefaultInstance() + : boundingBox_; + } + } + /** + * + * + * 
+     * Output only. The rectangle representing the object location.
+     *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BoundingPoly, + com.google.cloud.automl.v1beta1.BoundingPoly.Builder, + com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder> + getBoundingBoxFieldBuilder() { + if (boundingBoxBuilder_ == null) { + boundingBoxBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BoundingPoly, + com.google.cloud.automl.v1beta1.BoundingPoly.Builder, + com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder>( + getBoundingBox(), getParentForChildren(), isClean()); + boundingBox_ = null; + } + return boundingBoxBuilder_; + } + + private float score_; + /** + * + * + * 
+     * Output only. The confidence that this annotation is positive for the parent example,
+     * value in [0, 1], higher means higher positivity confidence.
+     *
+ * + * float score = 2; + * + * @return The score. + */ + public float getScore() { + return score_; + } + /** + * + * + * 
+     * Output only. The confidence that this annotation is positive for the parent example,
+     * value in [0, 1], higher means higher positivity confidence.
+     *
+ * + * float score = 2; + * + * @param value The score to set. + * @return This builder for chaining. + */ + public Builder setScore(float value) { + + score_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The confidence that this annotation is positive for the parent example,
+     * value in [0, 1], higher means higher positivity confidence.
+     *
+ * + * float score = 2; + * + * @return This builder for chaining. + */ + public Builder clearScore() { + + score_ = 0F; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) + private static final com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation(); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ImageObjectDetectionAnnotation parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ImageObjectDetectionAnnotation(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionAnnotationOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionAnnotationOrBuilder.java new file mode 100644 index 000000000..2988e1bb4 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionAnnotationOrBuilder.java @@ -0,0 +1,74 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/detection.proto + +package com.google.cloud.automl.v1beta1; + +public interface ImageObjectDetectionAnnotationOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Output only. The rectangle representing the object location.
+   *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1; + * + * @return Whether the boundingBox field is set. + */ + boolean hasBoundingBox(); + /** + * + * + * 
+   * Output only. The rectangle representing the object location.
+   *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1; + * + * @return The boundingBox. + */ + com.google.cloud.automl.v1beta1.BoundingPoly getBoundingBox(); + /** + * + * + * 
+   * Output only. The rectangle representing the object location.
+   *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1; + */ + com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder getBoundingBoxOrBuilder(); + + /** + * + * + * 
+   * Output only. The confidence that this annotation is positive for the parent example,
+   * value in [0, 1], higher means higher positivity confidence.
+   *
+ * + * float score = 2; + * + * @return The score. + */ + float getScore(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionDatasetMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionDatasetMetadata.java new file mode 100644 index 000000000..d7435ce81 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionDatasetMetadata.java @@ -0,0 +1,470 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/image.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Dataset metadata specific to image object detection.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata} + */ +public final class ImageObjectDetectionDatasetMetadata + extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata) + ImageObjectDetectionDatasetMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use ImageObjectDetectionDatasetMetadata.newBuilder() to construct. + private ImageObjectDetectionDatasetMetadata( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ImageObjectDetectionDatasetMetadata() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ImageObjectDetectionDatasetMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ImageObjectDetectionDatasetMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionDatasetMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionDatasetMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.class, + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.Builder.class); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata other = + (com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata) obj; + + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata parseFrom( + byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Dataset metadata specific to image object detection.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata) + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionDatasetMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionDatasetMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.class, + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.Builder.class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionDatasetMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata + .getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata build() { + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata buildPartial() { + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata result = + new com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata(this); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata other) { + if (other + == com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata + .getDefaultInstance()) return this; + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata) + private static final com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata(); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ImageObjectDetectionDatasetMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ImageObjectDetectionDatasetMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionDatasetMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionDatasetMetadataOrBuilder.java new file mode 100644 index 000000000..e2daa6796 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionDatasetMetadataOrBuilder.java @@ -0,0 +1,24 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/image.proto + +package com.google.cloud.automl.v1beta1; + +public interface ImageObjectDetectionDatasetMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata) + com.google.protobuf.MessageOrBuilder {} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionEvaluationMetrics.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionEvaluationMetrics.java new file mode 100644 index 000000000..8e3fbb702 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionEvaluationMetrics.java @@ -0,0 +1,1294 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/detection.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Model evaluation metrics for image object detection problems.
+ * Evaluates prediction quality of labeled bounding boxes.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics} + */ +public final class ImageObjectDetectionEvaluationMetrics + extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) + ImageObjectDetectionEvaluationMetricsOrBuilder { + private static final long serialVersionUID = 0L; + // Use ImageObjectDetectionEvaluationMetrics.newBuilder() to construct. + private ImageObjectDetectionEvaluationMetrics( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ImageObjectDetectionEvaluationMetrics() { + boundingBoxMetricsEntries_ = java.util.Collections.emptyList(); + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ImageObjectDetectionEvaluationMetrics(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ImageObjectDetectionEvaluationMetrics( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 8: + { + evaluatedBoundingBoxCount_ = input.readInt32(); + break; + } + case 18: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + boundingBoxMetricsEntries_ = + new java.util.ArrayList< + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry>(); + mutable_bitField0_ |= 0x00000001; + } + boundingBoxMetricsEntries_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.parser(), + extensionRegistry)); + break; + } + case 29: + { + boundingBoxMeanAveragePrecision_ = input.readFloat(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + boundingBoxMetricsEntries_ = + java.util.Collections.unmodifiableList(boundingBoxMetricsEntries_); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionEvaluationMetrics_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionEvaluationMetrics_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.class, + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.Builder.class); + } + + public static final int EVALUATED_BOUNDING_BOX_COUNT_FIELD_NUMBER = 1; + private int evaluatedBoundingBoxCount_; + /** + * + * + * 
+   * Output only. The total number of bounding boxes (i.e. summed over all
+   * images) the ground truth used to create this evaluation had.
+   *
+ * + * int32 evaluated_bounding_box_count = 1; + * + * @return The evaluatedBoundingBoxCount. + */ + public int getEvaluatedBoundingBoxCount() { + return evaluatedBoundingBoxCount_; + } + + public static final int BOUNDING_BOX_METRICS_ENTRIES_FIELD_NUMBER = 2; + private java.util.List + boundingBoxMetricsEntries_; + /** + * + * + * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + public java.util.List + getBoundingBoxMetricsEntriesList() { + return boundingBoxMetricsEntries_; + } + /** + * + * + * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + public java.util.List + getBoundingBoxMetricsEntriesOrBuilderList() { + return boundingBoxMetricsEntries_; + } + /** + * + * + * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + public int getBoundingBoxMetricsEntriesCount() { + return boundingBoxMetricsEntries_.size(); + } + /** + * + * + * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry getBoundingBoxMetricsEntries( + int index) { + return boundingBoxMetricsEntries_.get(index); + } + /** + * + * + * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder + getBoundingBoxMetricsEntriesOrBuilder(int index) { + return boundingBoxMetricsEntries_.get(index); + } + + public static final int BOUNDING_BOX_MEAN_AVERAGE_PRECISION_FIELD_NUMBER = 3; + private float boundingBoxMeanAveragePrecision_; + /** + * + * + * 
+   * Output only. The single metric for bounding boxes evaluation:
+   * the mean_average_precision averaged over all bounding_box_metrics_entries.
+   *
+ * + * float bounding_box_mean_average_precision = 3; + * + * @return The boundingBoxMeanAveragePrecision. + */ + public float getBoundingBoxMeanAveragePrecision() { + return boundingBoxMeanAveragePrecision_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (evaluatedBoundingBoxCount_ != 0) { + output.writeInt32(1, evaluatedBoundingBoxCount_); + } + for (int i = 0; i < boundingBoxMetricsEntries_.size(); i++) { + output.writeMessage(2, boundingBoxMetricsEntries_.get(i)); + } + if (boundingBoxMeanAveragePrecision_ != 0F) { + output.writeFloat(3, boundingBoxMeanAveragePrecision_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (evaluatedBoundingBoxCount_ != 0) { + size += com.google.protobuf.CodedOutputStream.computeInt32Size(1, evaluatedBoundingBoxCount_); + } + for (int i = 0; i < boundingBoxMetricsEntries_.size(); i++) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 2, boundingBoxMetricsEntries_.get(i)); + } + if (boundingBoxMeanAveragePrecision_ != 0F) { + size += + com.google.protobuf.CodedOutputStream.computeFloatSize( + 3, boundingBoxMeanAveragePrecision_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics other = + (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) obj; + + if (getEvaluatedBoundingBoxCount() != other.getEvaluatedBoundingBoxCount()) return false; + if (!getBoundingBoxMetricsEntriesList().equals(other.getBoundingBoxMetricsEntriesList())) + return false; + if (java.lang.Float.floatToIntBits(getBoundingBoxMeanAveragePrecision()) + != java.lang.Float.floatToIntBits(other.getBoundingBoxMeanAveragePrecision())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + EVALUATED_BOUNDING_BOX_COUNT_FIELD_NUMBER; + hash = (53 * hash) + getEvaluatedBoundingBoxCount(); + if (getBoundingBoxMetricsEntriesCount() > 0) { + hash = (37 * hash) + BOUNDING_BOX_METRICS_ENTRIES_FIELD_NUMBER; + hash = (53 * hash) + getBoundingBoxMetricsEntriesList().hashCode(); + } + hash = (37 * hash) + BOUNDING_BOX_MEAN_AVERAGE_PRECISION_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getBoundingBoxMeanAveragePrecision()); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics parseFrom( + byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Model evaluation metrics for image object detection problems.
+   * Evaluates prediction quality of labeled bounding boxes.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetricsOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionEvaluationMetrics_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionEvaluationMetrics_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.class, + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.Builder.class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getBoundingBoxMetricsEntriesFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + evaluatedBoundingBoxCount_ = 0; + + if (boundingBoxMetricsEntriesBuilder_ == null) { + boundingBoxMetricsEntries_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + } else { + boundingBoxMetricsEntriesBuilder_.clear(); + } + boundingBoxMeanAveragePrecision_ = 0F; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionEvaluationMetrics_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics + .getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics build() { + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics buildPartial() { + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics result = + new com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics(this); + int from_bitField0_ = bitField0_; + result.evaluatedBoundingBoxCount_ = evaluatedBoundingBoxCount_; + if (boundingBoxMetricsEntriesBuilder_ == null) { + if (((bitField0_ & 0x00000001) != 0)) { + boundingBoxMetricsEntries_ = + java.util.Collections.unmodifiableList(boundingBoxMetricsEntries_); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.boundingBoxMetricsEntries_ = boundingBoxMetricsEntries_; + } else { + result.boundingBoxMetricsEntries_ = boundingBoxMetricsEntriesBuilder_.build(); + } + result.boundingBoxMeanAveragePrecision_ = boundingBoxMeanAveragePrecision_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics other) { + if (other + == com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics + .getDefaultInstance()) return this; + if (other.getEvaluatedBoundingBoxCount() != 0) { + setEvaluatedBoundingBoxCount(other.getEvaluatedBoundingBoxCount()); + } + if (boundingBoxMetricsEntriesBuilder_ == null) { + if (!other.boundingBoxMetricsEntries_.isEmpty()) { + if (boundingBoxMetricsEntries_.isEmpty()) { + boundingBoxMetricsEntries_ = other.boundingBoxMetricsEntries_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensureBoundingBoxMetricsEntriesIsMutable(); + boundingBoxMetricsEntries_.addAll(other.boundingBoxMetricsEntries_); + } + onChanged(); + } + } else { + if (!other.boundingBoxMetricsEntries_.isEmpty()) { + if (boundingBoxMetricsEntriesBuilder_.isEmpty()) { + boundingBoxMetricsEntriesBuilder_.dispose(); + boundingBoxMetricsEntriesBuilder_ = null; + boundingBoxMetricsEntries_ = other.boundingBoxMetricsEntries_; + bitField0_ = (bitField0_ & ~0x00000001); + boundingBoxMetricsEntriesBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getBoundingBoxMetricsEntriesFieldBuilder() + : null; + } else { + boundingBoxMetricsEntriesBuilder_.addAllMessages(other.boundingBoxMetricsEntries_); + } + } + } + if (other.getBoundingBoxMeanAveragePrecision() != 0F) { + setBoundingBoxMeanAveragePrecision(other.getBoundingBoxMeanAveragePrecision()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private int evaluatedBoundingBoxCount_; + /** + * + * + * 
+     * Output only. The total number of bounding boxes (i.e. summed over all
+     * images) the ground truth used to create this evaluation had.
+     *
+ * + * int32 evaluated_bounding_box_count = 1; + * + * @return The evaluatedBoundingBoxCount. + */ + public int getEvaluatedBoundingBoxCount() { + return evaluatedBoundingBoxCount_; + } + /** + * + * + * 
+     * Output only. The total number of bounding boxes (i.e. summed over all
+     * images) the ground truth used to create this evaluation had.
+     *
+ * + * int32 evaluated_bounding_box_count = 1; + * + * @param value The evaluatedBoundingBoxCount to set. + * @return This builder for chaining. + */ + public Builder setEvaluatedBoundingBoxCount(int value) { + + evaluatedBoundingBoxCount_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The total number of bounding boxes (i.e. summed over all
+     * images) the ground truth used to create this evaluation had.
+     *
+ * + * int32 evaluated_bounding_box_count = 1; + * + * @return This builder for chaining. + */ + public Builder clearEvaluatedBoundingBoxCount() { + + evaluatedBoundingBoxCount_ = 0; + onChanged(); + return this; + } + + private java.util.List + boundingBoxMetricsEntries_ = java.util.Collections.emptyList(); + + private void ensureBoundingBoxMetricsEntriesIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + boundingBoxMetricsEntries_ = + new java.util.ArrayList( + boundingBoxMetricsEntries_); + bitField0_ |= 0x00000001; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder> + boundingBoxMetricsEntriesBuilder_; + + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + public java.util.List + getBoundingBoxMetricsEntriesList() { + if (boundingBoxMetricsEntriesBuilder_ == null) { + return java.util.Collections.unmodifiableList(boundingBoxMetricsEntries_); + } else { + return boundingBoxMetricsEntriesBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + public int getBoundingBoxMetricsEntriesCount() { + if (boundingBoxMetricsEntriesBuilder_ == null) { + return boundingBoxMetricsEntries_.size(); + } else { + return boundingBoxMetricsEntriesBuilder_.getCount(); + } + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry getBoundingBoxMetricsEntries( + int index) { + if (boundingBoxMetricsEntriesBuilder_ == null) { + return boundingBoxMetricsEntries_.get(index); + } else { + return boundingBoxMetricsEntriesBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + public Builder setBoundingBoxMetricsEntries( + int index, com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry value) { + if (boundingBoxMetricsEntriesBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureBoundingBoxMetricsEntriesIsMutable(); + boundingBoxMetricsEntries_.set(index, value); + onChanged(); + } else { + boundingBoxMetricsEntriesBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + public Builder setBoundingBoxMetricsEntries( + int index, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder builderForValue) { + if (boundingBoxMetricsEntriesBuilder_ == null) { + ensureBoundingBoxMetricsEntriesIsMutable(); + boundingBoxMetricsEntries_.set(index, builderForValue.build()); + onChanged(); + } else { + boundingBoxMetricsEntriesBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + public Builder addBoundingBoxMetricsEntries( + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry value) { + if (boundingBoxMetricsEntriesBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureBoundingBoxMetricsEntriesIsMutable(); + boundingBoxMetricsEntries_.add(value); + onChanged(); + } else { + boundingBoxMetricsEntriesBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + public Builder addBoundingBoxMetricsEntries( + int index, com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry value) { + if (boundingBoxMetricsEntriesBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureBoundingBoxMetricsEntriesIsMutable(); + boundingBoxMetricsEntries_.add(index, value); + onChanged(); + } else { + boundingBoxMetricsEntriesBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + public Builder addBoundingBoxMetricsEntries( + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder builderForValue) { + if (boundingBoxMetricsEntriesBuilder_ == null) { + ensureBoundingBoxMetricsEntriesIsMutable(); + boundingBoxMetricsEntries_.add(builderForValue.build()); + onChanged(); + } else { + boundingBoxMetricsEntriesBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + public Builder addBoundingBoxMetricsEntries( + int index, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder builderForValue) { + if (boundingBoxMetricsEntriesBuilder_ == null) { + ensureBoundingBoxMetricsEntriesIsMutable(); + boundingBoxMetricsEntries_.add(index, builderForValue.build()); + onChanged(); + } else { + boundingBoxMetricsEntriesBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + public Builder addAllBoundingBoxMetricsEntries( + java.lang.Iterable + values) { + if (boundingBoxMetricsEntriesBuilder_ == null) { + ensureBoundingBoxMetricsEntriesIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, boundingBoxMetricsEntries_); + onChanged(); + } else { + boundingBoxMetricsEntriesBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + public Builder clearBoundingBoxMetricsEntries() { + if (boundingBoxMetricsEntriesBuilder_ == null) { + boundingBoxMetricsEntries_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + } else { + boundingBoxMetricsEntriesBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + public Builder removeBoundingBoxMetricsEntries(int index) { + if (boundingBoxMetricsEntriesBuilder_ == null) { + ensureBoundingBoxMetricsEntriesIsMutable(); + boundingBoxMetricsEntries_.remove(index); + onChanged(); + } else { + boundingBoxMetricsEntriesBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder + getBoundingBoxMetricsEntriesBuilder(int index) { + return getBoundingBoxMetricsEntriesFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder + getBoundingBoxMetricsEntriesOrBuilder(int index) { + if (boundingBoxMetricsEntriesBuilder_ == null) { + return boundingBoxMetricsEntries_.get(index); + } else { + return boundingBoxMetricsEntriesBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + public java.util.List< + ? extends com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder> + getBoundingBoxMetricsEntriesOrBuilderList() { + if (boundingBoxMetricsEntriesBuilder_ != null) { + return boundingBoxMetricsEntriesBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(boundingBoxMetricsEntries_); + } + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder + addBoundingBoxMetricsEntriesBuilder() { + return getBoundingBoxMetricsEntriesFieldBuilder() + .addBuilder(com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.getDefaultInstance()); + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder + addBoundingBoxMetricsEntriesBuilder(int index) { + return getBoundingBoxMetricsEntriesFieldBuilder() + .addBuilder( + index, com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.getDefaultInstance()); + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + public java.util.List + getBoundingBoxMetricsEntriesBuilderList() { + return getBoundingBoxMetricsEntriesFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder> + getBoundingBoxMetricsEntriesFieldBuilder() { + if (boundingBoxMetricsEntriesBuilder_ == null) { + boundingBoxMetricsEntriesBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder>( + boundingBoxMetricsEntries_, + ((bitField0_ & 0x00000001) != 0), + getParentForChildren(), + isClean()); + boundingBoxMetricsEntries_ = null; + } + return boundingBoxMetricsEntriesBuilder_; + } + + private float boundingBoxMeanAveragePrecision_; + /** + * + * + * 
+     * Output only. The single metric for bounding boxes evaluation:
+     * the mean_average_precision averaged over all bounding_box_metrics_entries.
+     *
+ * + * float bounding_box_mean_average_precision = 3; + * + * @return The boundingBoxMeanAveragePrecision. + */ + public float getBoundingBoxMeanAveragePrecision() { + return boundingBoxMeanAveragePrecision_; + } + /** + * + * + * 
+     * Output only. The single metric for bounding boxes evaluation:
+     * the mean_average_precision averaged over all bounding_box_metrics_entries.
+     *
+ * + * float bounding_box_mean_average_precision = 3; + * + * @param value The boundingBoxMeanAveragePrecision to set. + * @return This builder for chaining. + */ + public Builder setBoundingBoxMeanAveragePrecision(float value) { + + boundingBoxMeanAveragePrecision_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The single metric for bounding boxes evaluation:
+     * the mean_average_precision averaged over all bounding_box_metrics_entries.
+     *
+ * + * float bounding_box_mean_average_precision = 3; + * + * @return This builder for chaining. + */ + public Builder clearBoundingBoxMeanAveragePrecision() { + + boundingBoxMeanAveragePrecision_ = 0F; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) + private static final com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics(); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ImageObjectDetectionEvaluationMetrics parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ImageObjectDetectionEvaluationMetrics(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionEvaluationMetricsOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionEvaluationMetricsOrBuilder.java new file mode 100644 index 000000000..7d768cb43 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionEvaluationMetricsOrBuilder.java @@ -0,0 +1,132 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/detection.proto + +package com.google.cloud.automl.v1beta1; + +public interface ImageObjectDetectionEvaluationMetricsOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Output only. The total number of bounding boxes (i.e. summed over all
+   * images) the ground truth used to create this evaluation had.
+   *
+ * + * int32 evaluated_bounding_box_count = 1; + * + * @return The evaluatedBoundingBoxCount. + */ + int getEvaluatedBoundingBoxCount(); + + /** + * + * + * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + java.util.List + getBoundingBoxMetricsEntriesList(); + /** + * + * + * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry getBoundingBoxMetricsEntries(int index); + /** + * + * + * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + int getBoundingBoxMetricsEntriesCount(); + /** + * + * + * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + java.util.List + getBoundingBoxMetricsEntriesOrBuilderList(); + /** + * + * + * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + * + */ + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder + getBoundingBoxMetricsEntriesOrBuilder(int index); + + /** + * + * + * 
+   * Output only. The single metric for bounding boxes evaluation:
+   * the mean_average_precision averaged over all bounding_box_metrics_entries.
+   *
+ * + * float bounding_box_mean_average_precision = 3; + * + * @return The boundingBoxMeanAveragePrecision. + */ + float getBoundingBoxMeanAveragePrecision(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelDeploymentMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelDeploymentMetadata.java new file mode 100644 index 000000000..b3ce87239 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelDeploymentMetadata.java @@ -0,0 +1,589 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/image.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Model deployment metadata specific to Image Object Detection.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata} + */ +public final class ImageObjectDetectionModelDeploymentMetadata + extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata) + ImageObjectDetectionModelDeploymentMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use ImageObjectDetectionModelDeploymentMetadata.newBuilder() to construct. + private ImageObjectDetectionModelDeploymentMetadata( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ImageObjectDetectionModelDeploymentMetadata() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ImageObjectDetectionModelDeploymentMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ImageObjectDetectionModelDeploymentMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 8: + { + nodeCount_ = input.readInt64(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelDeploymentMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelDeploymentMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.class, + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.Builder + .class); + } + + public static final int NODE_COUNT_FIELD_NUMBER = 1; + private long nodeCount_; + /** + * + * + * 
+   * Input only. The number of nodes to deploy the model on. A node is an
+   * abstraction of a machine resource, which can handle online prediction QPS
+   * as given in the model's
+   * [qps_per_node][google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.qps_per_node].
+   * Must be between 1 and 100, inclusive on both ends.
+   *
+ * + * int64 node_count = 1; + * + * @return The nodeCount. + */ + public long getNodeCount() { + return nodeCount_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (nodeCount_ != 0L) { + output.writeInt64(1, nodeCount_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (nodeCount_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(1, nodeCount_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj + instanceof com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata other = + (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata) obj; + + if (getNodeCount() != other.getNodeCount()) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + NODE_COUNT_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getNodeCount()); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + parseFrom(com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + parseFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Model deployment metadata specific to Image Object Detection.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata) + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelDeploymentMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelDeploymentMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.class, + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.Builder + .class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + nodeCount_ = 0L; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelDeploymentMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + .getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata build() { + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata result = + buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + buildPartial() { + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata result = + new com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata(this); + result.nodeCount_ = nodeCount_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other + instanceof com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata other) { + if (other + == com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + .getDefaultInstance()) return this; + if (other.getNodeCount() != 0L) { + setNodeCount(other.getNodeCount()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata parsedMessage = + null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private long nodeCount_; + /** + * + * + * 
+     * Input only. The number of nodes to deploy the model on. A node is an
+     * abstraction of a machine resource, which can handle online prediction QPS
+     * as given in the model's
+     * [qps_per_node][google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.qps_per_node].
+     * Must be between 1 and 100, inclusive on both ends.
+     *
+ * + * int64 node_count = 1; + * + * @return The nodeCount. + */ + public long getNodeCount() { + return nodeCount_; + } + /** + * + * + * 
+     * Input only. The number of nodes to deploy the model on. A node is an
+     * abstraction of a machine resource, which can handle online prediction QPS
+     * as given in the model's
+     * [qps_per_node][google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.qps_per_node].
+     * Must be between 1 and 100, inclusive on both ends.
+     *
+ * + * int64 node_count = 1; + * + * @param value The nodeCount to set. + * @return This builder for chaining. + */ + public Builder setNodeCount(long value) { + + nodeCount_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Input only. The number of nodes to deploy the model on. A node is an
+     * abstraction of a machine resource, which can handle online prediction QPS
+     * as given in the model's
+     * [qps_per_node][google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.qps_per_node].
+     * Must be between 1 and 100, inclusive on both ends.
+     *
+ * + * int64 node_count = 1; + * + * @return This builder for chaining. + */ + public Builder clearNodeCount() { + + nodeCount_ = 0L; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata) + private static final com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = + new com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata(); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser + PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ImageObjectDetectionModelDeploymentMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ImageObjectDetectionModelDeploymentMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser + getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelDeploymentMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelDeploymentMetadataOrBuilder.java new file mode 100644 index 000000000..c45fa4223 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelDeploymentMetadataOrBuilder.java @@ -0,0 +1,42 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/image.proto + +package com.google.cloud.automl.v1beta1; + +public interface ImageObjectDetectionModelDeploymentMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Input only. The number of nodes to deploy the model on. A node is an
+   * abstraction of a machine resource, which can handle online prediction QPS
+   * as given in the model's
+   * [qps_per_node][google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.qps_per_node].
+   * Must be between 1 and 100, inclusive on both ends.
+   *
+ * + * int64 node_count = 1; + * + * @return The nodeCount. + */ + long getNodeCount(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelMetadata.java new file mode 100644 index 000000000..90046ca97 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelMetadata.java @@ -0,0 +1,1415 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/image.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Model metadata specific to image object detection.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata} + */ +public final class ImageObjectDetectionModelMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) + ImageObjectDetectionModelMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use ImageObjectDetectionModelMetadata.newBuilder() to construct. + private ImageObjectDetectionModelMetadata( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ImageObjectDetectionModelMetadata() { + modelType_ = ""; + stopReason_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ImageObjectDetectionModelMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ImageObjectDetectionModelMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + modelType_ = s; + break; + } + case 24: + { + nodeCount_ = input.readInt64(); + break; + } + case 33: + { + nodeQps_ = input.readDouble(); + break; + } + case 42: + { + java.lang.String s = input.readStringRequireUtf8(); + + stopReason_ = s; + break; + } + case 48: + { + trainBudgetMilliNodeHours_ = input.readInt64(); + break; + } + case 56: + { + trainCostMilliNodeHours_ = input.readInt64(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.class, + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.Builder.class); + } + + public static final int MODEL_TYPE_FIELD_NUMBER = 1; + private volatile java.lang.Object modelType_; + /** + * + * + * 
+   * Optional. Type of the model. The available values are:
+   * *   `cloud-high-accuracy-1` - (default) A model to be used via prediction
+   *               calls to AutoML API. Expected to have a higher latency, but
+   *               should also have a higher prediction quality than other
+   *               models.
+   * *   `cloud-low-latency-1` -  A model to be used via prediction
+   *               calls to AutoML API. Expected to have low latency, but may
+   *               have lower prediction quality than other models.
+   * *   `mobile-low-latency-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards. Expected to have low latency, but
+   *               may have lower prediction quality than other models.
+   * *   `mobile-versatile-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards.
+   * *   `mobile-high-accuracy-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards.  Expected to have a higher
+   *               latency, but should also have a higher prediction quality
+   *               than other models.
+   *
+ * + * string model_type = 1; + * + * @return The modelType. + */ + public java.lang.String getModelType() { + java.lang.Object ref = modelType_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + modelType_ = s; + return s; + } + } + /** + * + * + * 
+   * Optional. Type of the model. The available values are:
+   * *   `cloud-high-accuracy-1` - (default) A model to be used via prediction
+   *               calls to AutoML API. Expected to have a higher latency, but
+   *               should also have a higher prediction quality than other
+   *               models.
+   * *   `cloud-low-latency-1` -  A model to be used via prediction
+   *               calls to AutoML API. Expected to have low latency, but may
+   *               have lower prediction quality than other models.
+   * *   `mobile-low-latency-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards. Expected to have low latency, but
+   *               may have lower prediction quality than other models.
+   * *   `mobile-versatile-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards.
+   * *   `mobile-high-accuracy-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards.  Expected to have a higher
+   *               latency, but should also have a higher prediction quality
+   *               than other models.
+   *
+ * + * string model_type = 1; + * + * @return The bytes for modelType. + */ + public com.google.protobuf.ByteString getModelTypeBytes() { + java.lang.Object ref = modelType_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + modelType_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int NODE_COUNT_FIELD_NUMBER = 3; + private long nodeCount_; + /** + * + * + * 
+   * Output only. The number of nodes this model is deployed on. A node is an
+   * abstraction of a machine resource, which can handle online prediction QPS
+   * as given in the qps_per_node field.
+   *
+ * + * int64 node_count = 3; + * + * @return The nodeCount. + */ + public long getNodeCount() { + return nodeCount_; + } + + public static final int NODE_QPS_FIELD_NUMBER = 4; + private double nodeQps_; + /** + * + * + * 
+   * Output only. An approximate number of online prediction QPS that can
+   * be supported by this model per each node on which it is deployed.
+   *
+ * + * double node_qps = 4; + * + * @return The nodeQps. + */ + public double getNodeQps() { + return nodeQps_; + } + + public static final int STOP_REASON_FIELD_NUMBER = 5; + private volatile java.lang.Object stopReason_; + /** + * + * + * 
+   * Output only. The reason that this create model operation stopped,
+   * e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
+   *
+ * + * string stop_reason = 5; + * + * @return The stopReason. + */ + public java.lang.String getStopReason() { + java.lang.Object ref = stopReason_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + stopReason_ = s; + return s; + } + } + /** + * + * + * 
+   * Output only. The reason that this create model operation stopped,
+   * e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
+   *
+ * + * string stop_reason = 5; + * + * @return The bytes for stopReason. + */ + public com.google.protobuf.ByteString getStopReasonBytes() { + java.lang.Object ref = stopReason_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + stopReason_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int TRAIN_BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER = 6; + private long trainBudgetMilliNodeHours_; + /** + * + * + * 
+   * The train budget of creating this model, expressed in milli node
+   * hours i.e. 1,000 value in this field means 1 node hour. The actual
+   * `train_cost` will be equal or less than this value. If further model
+   * training ceases to provide any improvements, it will stop without using
+   * full budget and the stop_reason will be `MODEL_CONVERGED`.
+   * Note, node_hour  = actual_hour * number_of_nodes_invovled.
+   * For model type `cloud-high-accuracy-1`(default) and `cloud-low-latency-1`,
+   * the train budget must be between 20,000 and 900,000 milli node hours,
+   * inclusive. The default value is 216, 000 which represents one day in
+   * wall time.
+   * For model type `mobile-low-latency-1`, `mobile-versatile-1`,
+   * `mobile-high-accuracy-1`, `mobile-core-ml-low-latency-1`,
+   * `mobile-core-ml-versatile-1`, `mobile-core-ml-high-accuracy-1`, the train
+   * budget must be between 1,000 and 100,000 milli node hours, inclusive.
+   * The default value is 24, 000 which represents one day in wall time.
+   *
+ * + * int64 train_budget_milli_node_hours = 6; + * + * @return The trainBudgetMilliNodeHours. + */ + public long getTrainBudgetMilliNodeHours() { + return trainBudgetMilliNodeHours_; + } + + public static final int TRAIN_COST_MILLI_NODE_HOURS_FIELD_NUMBER = 7; + private long trainCostMilliNodeHours_; + /** + * + * + * 
+   * Output only. The actual train cost of creating this model, expressed in
+   * milli node hours, i.e. 1,000 value in this field means 1 node hour.
+   * Guaranteed to not exceed the train budget.
+   *
+ * + * int64 train_cost_milli_node_hours = 7; + * + * @return The trainCostMilliNodeHours. + */ + public long getTrainCostMilliNodeHours() { + return trainCostMilliNodeHours_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getModelTypeBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, modelType_); + } + if (nodeCount_ != 0L) { + output.writeInt64(3, nodeCount_); + } + if (nodeQps_ != 0D) { + output.writeDouble(4, nodeQps_); + } + if (!getStopReasonBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 5, stopReason_); + } + if (trainBudgetMilliNodeHours_ != 0L) { + output.writeInt64(6, trainBudgetMilliNodeHours_); + } + if (trainCostMilliNodeHours_ != 0L) { + output.writeInt64(7, trainCostMilliNodeHours_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getModelTypeBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, modelType_); + } + if (nodeCount_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(3, nodeCount_); + } + if (nodeQps_ != 0D) { + size += com.google.protobuf.CodedOutputStream.computeDoubleSize(4, nodeQps_); + } + if (!getStopReasonBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(5, stopReason_); + } + if (trainBudgetMilliNodeHours_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(6, trainBudgetMilliNodeHours_); + } + if (trainCostMilliNodeHours_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(7, trainCostMilliNodeHours_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata other = + (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) obj; + + if (!getModelType().equals(other.getModelType())) return false; + if (getNodeCount() != other.getNodeCount()) return false; + if (java.lang.Double.doubleToLongBits(getNodeQps()) + != java.lang.Double.doubleToLongBits(other.getNodeQps())) return false; + if (!getStopReason().equals(other.getStopReason())) return false; + if (getTrainBudgetMilliNodeHours() != other.getTrainBudgetMilliNodeHours()) return false; + if (getTrainCostMilliNodeHours() != other.getTrainCostMilliNodeHours()) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + MODEL_TYPE_FIELD_NUMBER; + hash = (53 * hash) + getModelType().hashCode(); + hash = (37 * hash) + NODE_COUNT_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getNodeCount()); + hash = (37 * hash) + NODE_QPS_FIELD_NUMBER; + hash = + (53 * hash) + + com.google.protobuf.Internal.hashLong( + java.lang.Double.doubleToLongBits(getNodeQps())); + hash = (37 * hash) + STOP_REASON_FIELD_NUMBER; + hash = (53 * hash) + getStopReason().hashCode(); + hash = (37 * hash) + TRAIN_BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getTrainBudgetMilliNodeHours()); + hash = (37 * hash) + TRAIN_COST_MILLI_NODE_HOURS_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getTrainCostMilliNodeHours()); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata parseFrom( + byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Model metadata specific to image object detection.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.class, + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.Builder.class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + modelType_ = ""; + + nodeCount_ = 0L; + + nodeQps_ = 0D; + + stopReason_ = ""; + + trainBudgetMilliNodeHours_ = 0L; + + trainCostMilliNodeHours_ = 0L; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.ImageProto + .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata build() { + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata buildPartial() { + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata result = + new com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata(this); + result.modelType_ = modelType_; + result.nodeCount_ = nodeCount_; + result.nodeQps_ = nodeQps_; + result.stopReason_ = stopReason_; + result.trainBudgetMilliNodeHours_ = trainBudgetMilliNodeHours_; + result.trainCostMilliNodeHours_ = trainCostMilliNodeHours_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata other) { + if (other + == com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.getDefaultInstance()) + return this; + if (!other.getModelType().isEmpty()) { + modelType_ = other.modelType_; + onChanged(); + } + if (other.getNodeCount() != 0L) { + setNodeCount(other.getNodeCount()); + } + if (other.getNodeQps() != 0D) { + setNodeQps(other.getNodeQps()); + } + if (!other.getStopReason().isEmpty()) { + stopReason_ = other.stopReason_; + onChanged(); + } + if (other.getTrainBudgetMilliNodeHours() != 0L) { + setTrainBudgetMilliNodeHours(other.getTrainBudgetMilliNodeHours()); + } + if (other.getTrainCostMilliNodeHours() != 0L) { + setTrainCostMilliNodeHours(other.getTrainCostMilliNodeHours()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object modelType_ = ""; + /** + * + * + * 
+     * Optional. Type of the model. The available values are:
+     * *   `cloud-high-accuracy-1` - (default) A model to be used via prediction
+     *               calls to AutoML API. Expected to have a higher latency, but
+     *               should also have a higher prediction quality than other
+     *               models.
+     * *   `cloud-low-latency-1` -  A model to be used via prediction
+     *               calls to AutoML API. Expected to have low latency, but may
+     *               have lower prediction quality than other models.
+     * *   `mobile-low-latency-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards. Expected to have low latency, but
+     *               may have lower prediction quality than other models.
+     * *   `mobile-versatile-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.
+     * *   `mobile-high-accuracy-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.  Expected to have a higher
+     *               latency, but should also have a higher prediction quality
+     *               than other models.
+     *
+ * + * string model_type = 1; + * + * @return The modelType. + */ + public java.lang.String getModelType() { + java.lang.Object ref = modelType_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + modelType_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Optional. Type of the model. The available values are:
+     * *   `cloud-high-accuracy-1` - (default) A model to be used via prediction
+     *               calls to AutoML API. Expected to have a higher latency, but
+     *               should also have a higher prediction quality than other
+     *               models.
+     * *   `cloud-low-latency-1` -  A model to be used via prediction
+     *               calls to AutoML API. Expected to have low latency, but may
+     *               have lower prediction quality than other models.
+     * *   `mobile-low-latency-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards. Expected to have low latency, but
+     *               may have lower prediction quality than other models.
+     * *   `mobile-versatile-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.
+     * *   `mobile-high-accuracy-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.  Expected to have a higher
+     *               latency, but should also have a higher prediction quality
+     *               than other models.
+     *
+ * + * string model_type = 1; + * + * @return The bytes for modelType. + */ + public com.google.protobuf.ByteString getModelTypeBytes() { + java.lang.Object ref = modelType_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + modelType_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Optional. Type of the model. The available values are:
+     * *   `cloud-high-accuracy-1` - (default) A model to be used via prediction
+     *               calls to AutoML API. Expected to have a higher latency, but
+     *               should also have a higher prediction quality than other
+     *               models.
+     * *   `cloud-low-latency-1` -  A model to be used via prediction
+     *               calls to AutoML API. Expected to have low latency, but may
+     *               have lower prediction quality than other models.
+     * *   `mobile-low-latency-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards. Expected to have low latency, but
+     *               may have lower prediction quality than other models.
+     * *   `mobile-versatile-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.
+     * *   `mobile-high-accuracy-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.  Expected to have a higher
+     *               latency, but should also have a higher prediction quality
+     *               than other models.
+     *
+ * + * string model_type = 1; + * + * @param value The modelType to set. + * @return This builder for chaining. + */ + public Builder setModelType(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + modelType_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Optional. Type of the model. The available values are:
+     * *   `cloud-high-accuracy-1` - (default) A model to be used via prediction
+     *               calls to AutoML API. Expected to have a higher latency, but
+     *               should also have a higher prediction quality than other
+     *               models.
+     * *   `cloud-low-latency-1` -  A model to be used via prediction
+     *               calls to AutoML API. Expected to have low latency, but may
+     *               have lower prediction quality than other models.
+     * *   `mobile-low-latency-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards. Expected to have low latency, but
+     *               may have lower prediction quality than other models.
+     * *   `mobile-versatile-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.
+     * *   `mobile-high-accuracy-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.  Expected to have a higher
+     *               latency, but should also have a higher prediction quality
+     *               than other models.
+     *
+ * + * string model_type = 1; + * + * @return This builder for chaining. + */ + public Builder clearModelType() { + + modelType_ = getDefaultInstance().getModelType(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Optional. Type of the model. The available values are:
+     * *   `cloud-high-accuracy-1` - (default) A model to be used via prediction
+     *               calls to AutoML API. Expected to have a higher latency, but
+     *               should also have a higher prediction quality than other
+     *               models.
+     * *   `cloud-low-latency-1` -  A model to be used via prediction
+     *               calls to AutoML API. Expected to have low latency, but may
+     *               have lower prediction quality than other models.
+     * *   `mobile-low-latency-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards. Expected to have low latency, but
+     *               may have lower prediction quality than other models.
+     * *   `mobile-versatile-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.
+     * *   `mobile-high-accuracy-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.  Expected to have a higher
+     *               latency, but should also have a higher prediction quality
+     *               than other models.
+     *
+ * + * string model_type = 1; + * + * @param value The bytes for modelType to set. + * @return This builder for chaining. + */ + public Builder setModelTypeBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + modelType_ = value; + onChanged(); + return this; + } + + private long nodeCount_; + /** + * + * + * 
+     * Output only. The number of nodes this model is deployed on. A node is an
+     * abstraction of a machine resource, which can handle online prediction QPS
+     * as given in the qps_per_node field.
+     *
+ * + * int64 node_count = 3; + * + * @return The nodeCount. + */ + public long getNodeCount() { + return nodeCount_; + } + /** + * + * + * 
+     * Output only. The number of nodes this model is deployed on. A node is an
+     * abstraction of a machine resource, which can handle online prediction QPS
+     * as given in the qps_per_node field.
+     *
+ * + * int64 node_count = 3; + * + * @param value The nodeCount to set. + * @return This builder for chaining. + */ + public Builder setNodeCount(long value) { + + nodeCount_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The number of nodes this model is deployed on. A node is an
+     * abstraction of a machine resource, which can handle online prediction QPS
+     * as given in the qps_per_node field.
+     *
+ * + * int64 node_count = 3; + * + * @return This builder for chaining. + */ + public Builder clearNodeCount() { + + nodeCount_ = 0L; + onChanged(); + return this; + } + + private double nodeQps_; + /** + * + * + * 
+     * Output only. An approximate number of online prediction QPS that can
+     * be supported by this model per each node on which it is deployed.
+     *
+ * + * double node_qps = 4; + * + * @return The nodeQps. + */ + public double getNodeQps() { + return nodeQps_; + } + /** + * + * + * 
+     * Output only. An approximate number of online prediction QPS that can
+     * be supported by this model per each node on which it is deployed.
+     *
+ * + * double node_qps = 4; + * + * @param value The nodeQps to set. + * @return This builder for chaining. + */ + public Builder setNodeQps(double value) { + + nodeQps_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. An approximate number of online prediction QPS that can
+     * be supported by this model per each node on which it is deployed.
+     *
+ * + * double node_qps = 4; + * + * @return This builder for chaining. + */ + public Builder clearNodeQps() { + + nodeQps_ = 0D; + onChanged(); + return this; + } + + private java.lang.Object stopReason_ = ""; + /** + * + * + * 
+     * Output only. The reason that this create model operation stopped,
+     * e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
+     *
+ * + * string stop_reason = 5; + * + * @return The stopReason. + */ + public java.lang.String getStopReason() { + java.lang.Object ref = stopReason_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + stopReason_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Output only. The reason that this create model operation stopped,
+     * e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
+     *
+ * + * string stop_reason = 5; + * + * @return The bytes for stopReason. + */ + public com.google.protobuf.ByteString getStopReasonBytes() { + java.lang.Object ref = stopReason_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + stopReason_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Output only. The reason that this create model operation stopped,
+     * e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
+     *
+ * + * string stop_reason = 5; + * + * @param value The stopReason to set. + * @return This builder for chaining. + */ + public Builder setStopReason(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + stopReason_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The reason that this create model operation stopped,
+     * e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
+     *
+ * + * string stop_reason = 5; + * + * @return This builder for chaining. + */ + public Builder clearStopReason() { + + stopReason_ = getDefaultInstance().getStopReason(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The reason that this create model operation stopped,
+     * e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
+     *
+ * + * string stop_reason = 5; + * + * @param value The bytes for stopReason to set. + * @return This builder for chaining. + */ + public Builder setStopReasonBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + stopReason_ = value; + onChanged(); + return this; + } + + private long trainBudgetMilliNodeHours_; + /** + * + * + * 
+     * The train budget of creating this model, expressed in milli node
+     * hours i.e. 1,000 value in this field means 1 node hour. The actual
+     * `train_cost` will be equal or less than this value. If further model
+     * training ceases to provide any improvements, it will stop without using
+     * full budget and the stop_reason will be `MODEL_CONVERGED`.
+     * Note, node_hour  = actual_hour * number_of_nodes_invovled.
+     * For model type `cloud-high-accuracy-1`(default) and `cloud-low-latency-1`,
+     * the train budget must be between 20,000 and 900,000 milli node hours,
+     * inclusive. The default value is 216, 000 which represents one day in
+     * wall time.
+     * For model type `mobile-low-latency-1`, `mobile-versatile-1`,
+     * `mobile-high-accuracy-1`, `mobile-core-ml-low-latency-1`,
+     * `mobile-core-ml-versatile-1`, `mobile-core-ml-high-accuracy-1`, the train
+     * budget must be between 1,000 and 100,000 milli node hours, inclusive.
+     * The default value is 24, 000 which represents one day in wall time.
+     *
+ * + * int64 train_budget_milli_node_hours = 6; + * + * @return The trainBudgetMilliNodeHours. + */ + public long getTrainBudgetMilliNodeHours() { + return trainBudgetMilliNodeHours_; + } + /** + * + * + * 
+     * The train budget of creating this model, expressed in milli node
+     * hours i.e. 1,000 value in this field means 1 node hour. The actual
+     * `train_cost` will be equal or less than this value. If further model
+     * training ceases to provide any improvements, it will stop without using
+     * full budget and the stop_reason will be `MODEL_CONVERGED`.
+     * Note, node_hour  = actual_hour * number_of_nodes_invovled.
+     * For model type `cloud-high-accuracy-1`(default) and `cloud-low-latency-1`,
+     * the train budget must be between 20,000 and 900,000 milli node hours,
+     * inclusive. The default value is 216, 000 which represents one day in
+     * wall time.
+     * For model type `mobile-low-latency-1`, `mobile-versatile-1`,
+     * `mobile-high-accuracy-1`, `mobile-core-ml-low-latency-1`,
+     * `mobile-core-ml-versatile-1`, `mobile-core-ml-high-accuracy-1`, the train
+     * budget must be between 1,000 and 100,000 milli node hours, inclusive.
+     * The default value is 24, 000 which represents one day in wall time.
+     *
+ * + * int64 train_budget_milli_node_hours = 6; + * + * @param value The trainBudgetMilliNodeHours to set. + * @return This builder for chaining. + */ + public Builder setTrainBudgetMilliNodeHours(long value) { + + trainBudgetMilliNodeHours_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * The train budget of creating this model, expressed in milli node
+     * hours i.e. 1,000 value in this field means 1 node hour. The actual
+     * `train_cost` will be equal or less than this value. If further model
+     * training ceases to provide any improvements, it will stop without using
+     * full budget and the stop_reason will be `MODEL_CONVERGED`.
+     * Note, node_hour  = actual_hour * number_of_nodes_invovled.
+     * For model type `cloud-high-accuracy-1`(default) and `cloud-low-latency-1`,
+     * the train budget must be between 20,000 and 900,000 milli node hours,
+     * inclusive. The default value is 216, 000 which represents one day in
+     * wall time.
+     * For model type `mobile-low-latency-1`, `mobile-versatile-1`,
+     * `mobile-high-accuracy-1`, `mobile-core-ml-low-latency-1`,
+     * `mobile-core-ml-versatile-1`, `mobile-core-ml-high-accuracy-1`, the train
+     * budget must be between 1,000 and 100,000 milli node hours, inclusive.
+     * The default value is 24, 000 which represents one day in wall time.
+     *
+ * + * int64 train_budget_milli_node_hours = 6; + * + * @return This builder for chaining. + */ + public Builder clearTrainBudgetMilliNodeHours() { + + trainBudgetMilliNodeHours_ = 0L; + onChanged(); + return this; + } + + private long trainCostMilliNodeHours_; + /** + * + * + * 
+     * Output only. The actual train cost of creating this model, expressed in
+     * milli node hours, i.e. 1,000 value in this field means 1 node hour.
+     * Guaranteed to not exceed the train budget.
+     *
+ * + * int64 train_cost_milli_node_hours = 7; + * + * @return The trainCostMilliNodeHours. + */ + public long getTrainCostMilliNodeHours() { + return trainCostMilliNodeHours_; + } + /** + * + * + * 
+     * Output only. The actual train cost of creating this model, expressed in
+     * milli node hours, i.e. 1,000 value in this field means 1 node hour.
+     * Guaranteed to not exceed the train budget.
+     *
+ * + * int64 train_cost_milli_node_hours = 7; + * + * @param value The trainCostMilliNodeHours to set. + * @return This builder for chaining. + */ + public Builder setTrainCostMilliNodeHours(long value) { + + trainCostMilliNodeHours_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The actual train cost of creating this model, expressed in
+     * milli node hours, i.e. 1,000 value in this field means 1 node hour.
+     * Guaranteed to not exceed the train budget.
+     *
+ * + * int64 train_cost_milli_node_hours = 7; + * + * @return This builder for chaining. + */ + public Builder clearTrainCostMilliNodeHours() { + + trainCostMilliNodeHours_ = 0L; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) + private static final com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata(); + } + + public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ImageObjectDetectionModelMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ImageObjectDetectionModelMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelMetadataOrBuilder.java new file mode 100644 index 000000000..f65f5db9b --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelMetadataOrBuilder.java @@ -0,0 +1,192 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/image.proto + +package com.google.cloud.automl.v1beta1; + +public interface ImageObjectDetectionModelMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Optional. Type of the model. The available values are:
+   * *   `cloud-high-accuracy-1` - (default) A model to be used via prediction
+   *               calls to AutoML API. Expected to have a higher latency, but
+   *               should also have a higher prediction quality than other
+   *               models.
+   * *   `cloud-low-latency-1` -  A model to be used via prediction
+   *               calls to AutoML API. Expected to have low latency, but may
+   *               have lower prediction quality than other models.
+   * *   `mobile-low-latency-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards. Expected to have low latency, but
+   *               may have lower prediction quality than other models.
+   * *   `mobile-versatile-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards.
+   * *   `mobile-high-accuracy-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards.  Expected to have a higher
+   *               latency, but should also have a higher prediction quality
+   *               than other models.
+   *
+ * + * string model_type = 1; + * + * @return The modelType. + */ + java.lang.String getModelType(); + /** + * + * + * 
+   * Optional. Type of the model. The available values are:
+   * *   `cloud-high-accuracy-1` - (default) A model to be used via prediction
+   *               calls to AutoML API. Expected to have a higher latency, but
+   *               should also have a higher prediction quality than other
+   *               models.
+   * *   `cloud-low-latency-1` -  A model to be used via prediction
+   *               calls to AutoML API. Expected to have low latency, but may
+   *               have lower prediction quality than other models.
+   * *   `mobile-low-latency-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards. Expected to have low latency, but
+   *               may have lower prediction quality than other models.
+   * *   `mobile-versatile-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards.
+   * *   `mobile-high-accuracy-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards.  Expected to have a higher
+   *               latency, but should also have a higher prediction quality
+   *               than other models.
+   *
+ * + * string model_type = 1; + * + * @return The bytes for modelType. + */ + com.google.protobuf.ByteString getModelTypeBytes(); + + /** + * + * + * 
+   * Output only. The number of nodes this model is deployed on. A node is an
+   * abstraction of a machine resource, which can handle online prediction QPS
+   * as given in the qps_per_node field.
+   *
+ * + * int64 node_count = 3; + * + * @return The nodeCount. + */ + long getNodeCount(); + + /** + * + * + * 
+   * Output only. An approximate number of online prediction QPS that can
+   * be supported by this model per each node on which it is deployed.
+   *
+ * + * double node_qps = 4; + * + * @return The nodeQps. + */ + double getNodeQps(); + + /** + * + * + * 
+   * Output only. The reason that this create model operation stopped,
+   * e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
+   *
+ * + * string stop_reason = 5; + * + * @return The stopReason. + */ + java.lang.String getStopReason(); + /** + * + * + * 
+   * Output only. The reason that this create model operation stopped,
+   * e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
+   *
+ * + * string stop_reason = 5; + * + * @return The bytes for stopReason. + */ + com.google.protobuf.ByteString getStopReasonBytes(); + + /** + * + * + * 
+   * The train budget of creating this model, expressed in milli node
+   * hours i.e. 1,000 value in this field means 1 node hour. The actual
+   * `train_cost` will be equal or less than this value. If further model
+   * training ceases to provide any improvements, it will stop without using
+   * full budget and the stop_reason will be `MODEL_CONVERGED`.
+   * Note, node_hour  = actual_hour * number_of_nodes_invovled.
+   * For model type `cloud-high-accuracy-1`(default) and `cloud-low-latency-1`,
+   * the train budget must be between 20,000 and 900,000 milli node hours,
+   * inclusive. The default value is 216, 000 which represents one day in
+   * wall time.
+   * For model type `mobile-low-latency-1`, `mobile-versatile-1`,
+   * `mobile-high-accuracy-1`, `mobile-core-ml-low-latency-1`,
+   * `mobile-core-ml-versatile-1`, `mobile-core-ml-high-accuracy-1`, the train
+   * budget must be between 1,000 and 100,000 milli node hours, inclusive.
+   * The default value is 24, 000 which represents one day in wall time.
+   *
+ * + * int64 train_budget_milli_node_hours = 6; + * + * @return The trainBudgetMilliNodeHours. + */ + long getTrainBudgetMilliNodeHours(); + + /** + * + * + * 
+   * Output only. The actual train cost of creating this model, expressed in
+   * milli node hours, i.e. 1,000 value in this field means 1 node hour.
+   * Guaranteed to not exceed the train budget.
+   *
+ * + * int64 train_cost_milli_node_hours = 7; + * + * @return The trainCostMilliNodeHours. + */ + long getTrainCostMilliNodeHours(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageOrBuilder.java new file mode 100644 index 000000000..584e00e09 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageOrBuilder.java @@ -0,0 +1,102 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_items.proto + +package com.google.cloud.automl.v1beta1; + +public interface ImageOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.Image) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Image content represented as a stream of bytes.
+   * Note: As with all `bytes` fields, protobuffers use a pure binary
+   * representation, whereas JSON representations use base64.
+   *
+ * + * bytes image_bytes = 1; + * + * @return The imageBytes. + */ + com.google.protobuf.ByteString getImageBytes(); + + /** + * + * + * 
+   * An input config specifying the content of the image.
+   *
+ * + * .google.cloud.automl.v1beta1.InputConfig input_config = 6; + * + * @return Whether the inputConfig field is set. + */ + boolean hasInputConfig(); + /** + * + * + * 
+   * An input config specifying the content of the image.
+   *
+ * + * .google.cloud.automl.v1beta1.InputConfig input_config = 6; + * + * @return The inputConfig. + */ + com.google.cloud.automl.v1beta1.InputConfig getInputConfig(); + /** + * + * + * 
+   * An input config specifying the content of the image.
+   *
+ * + * .google.cloud.automl.v1beta1.InputConfig input_config = 6; + */ + com.google.cloud.automl.v1beta1.InputConfigOrBuilder getInputConfigOrBuilder(); + + /** + * + * + * 
+   * Output only. HTTP URI to the thumbnail image.
+   *
+ * + * string thumbnail_uri = 4; + * + * @return The thumbnailUri. + */ + java.lang.String getThumbnailUri(); + /** + * + * + * 
+   * Output only. HTTP URI to the thumbnail image.
+   *
+ * + * string thumbnail_uri = 4; + * + * @return The bytes for thumbnailUri. + */ + com.google.protobuf.ByteString getThumbnailUriBytes(); + + public com.google.cloud.automl.v1beta1.Image.DataCase getDataCase(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageProto.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageProto.java new file mode 100644 index 000000000..e12717b18 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageProto.java @@ -0,0 +1,167 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/image.proto + +package com.google.cloud.automl.v1beta1; + +public final class ImageProto { + private ImageProto() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ImageClassificationDatasetMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ImageClassificationDatasetMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionDatasetMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionDatasetMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ImageClassificationModelMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ImageClassificationModelMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ImageClassificationModelDeploymentMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ImageClassificationModelDeploymentMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelDeploymentMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelDeploymentMetadata_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n\'google/cloud/automl/v1beta1/image.prot" + + "o\022\033google.cloud.automl.v1beta1\032\031google/a" + + "pi/resource.proto\0321google/cloud/automl/v" + + "1beta1/annotation_spec.proto\0320google/clo" + + "ud/automl/v1beta1/classification.proto\032\037" + + "google/protobuf/timestamp.proto\032\034google/" + + "api/annotations.proto\"r\n\"ImageClassifica" + + "tionDatasetMetadata\022L\n\023classification_ty" + + "pe\030\001 \001(\0162/.google.cloud.automl.v1beta1.C" + + "lassificationType\"%\n#ImageObjectDetectio" + + "nDatasetMetadata\"\262\001\n ImageClassification" + + "ModelMetadata\022\025\n\rbase_model_id\030\001 \001(\t\022\024\n\014" + + "train_budget\030\002 \001(\003\022\022\n\ntrain_cost\030\003 \001(\003\022\023" + + "\n\013stop_reason\030\005 \001(\t\022\022\n\nmodel_type\030\007 \001(\t\022" + + "\020\n\010node_qps\030\r \001(\001\022\022\n\nnode_count\030\016 \001(\003\"\276\001" + + "\n!ImageObjectDetectionModelMetadata\022\022\n\nm" + + "odel_type\030\001 \001(\t\022\022\n\nnode_count\030\003 \001(\003\022\020\n\010n" + + "ode_qps\030\004 \001(\001\022\023\n\013stop_reason\030\005 \001(\t\022%\n\035tr" + + "ain_budget_milli_node_hours\030\006 \001(\003\022#\n\033tra" + + "in_cost_milli_node_hours\030\007 \001(\003\"@\n*ImageC" + + "lassificationModelDeploymentMetadata\022\022\n\n" + + "node_count\030\001 \001(\003\"A\n+ImageObjectDetection" + + "ModelDeploymentMetadata\022\022\n\nnode_count\030\001 " + + "\001(\003B\261\001\n\037com.google.cloud.automl.v1beta1B" + + "\nImageProtoP\001ZAgoogle.golang.org/genprot" + + "o/googleapis/cloud/automl/v1beta1;automl" + + "\312\002\033Google\\Cloud\\AutoMl\\V1beta1\352\002\036Google:" + + ":Cloud::AutoML::V1beta1b\006proto3" + }; + descriptor = + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.api.ResourceProto.getDescriptor(), + com.google.cloud.automl.v1beta1.AnnotationSpecOuterClass.getDescriptor(), + com.google.cloud.automl.v1beta1.ClassificationProto.getDescriptor(), + com.google.protobuf.TimestampProto.getDescriptor(), + com.google.api.AnnotationsProto.getDescriptor(), + }); + internal_static_google_cloud_automl_v1beta1_ImageClassificationDatasetMetadata_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_ImageClassificationDatasetMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ImageClassificationDatasetMetadata_descriptor, + new java.lang.String[] { + "ClassificationType", + }); + internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionDatasetMetadata_descriptor = + getDescriptor().getMessageTypes().get(1); + internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionDatasetMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionDatasetMetadata_descriptor, + new java.lang.String[] {}); + internal_static_google_cloud_automl_v1beta1_ImageClassificationModelMetadata_descriptor = + getDescriptor().getMessageTypes().get(2); + internal_static_google_cloud_automl_v1beta1_ImageClassificationModelMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ImageClassificationModelMetadata_descriptor, + new java.lang.String[] { + "BaseModelId", + "TrainBudget", + "TrainCost", + "StopReason", + "ModelType", + "NodeQps", + "NodeCount", + }); + internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelMetadata_descriptor = + getDescriptor().getMessageTypes().get(3); + internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelMetadata_descriptor, + new java.lang.String[] { + "ModelType", + "NodeCount", + "NodeQps", + "StopReason", + "TrainBudgetMilliNodeHours", + "TrainCostMilliNodeHours", + }); + internal_static_google_cloud_automl_v1beta1_ImageClassificationModelDeploymentMetadata_descriptor = + getDescriptor().getMessageTypes().get(4); + internal_static_google_cloud_automl_v1beta1_ImageClassificationModelDeploymentMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ImageClassificationModelDeploymentMetadata_descriptor, + new java.lang.String[] { + "NodeCount", + }); + internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelDeploymentMetadata_descriptor = + getDescriptor().getMessageTypes().get(5); + internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelDeploymentMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelDeploymentMetadata_descriptor, + new java.lang.String[] { + "NodeCount", + }); + com.google.api.ResourceProto.getDescriptor(); + com.google.cloud.automl.v1beta1.AnnotationSpecOuterClass.getDescriptor(); + com.google.cloud.automl.v1beta1.ClassificationProto.getDescriptor(); + com.google.protobuf.TimestampProto.getDescriptor(); + com.google.api.AnnotationsProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataOperationMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataOperationMetadata.java new file mode 100644 index 000000000..6d01d3581 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataOperationMetadata.java @@ -0,0 +1,457 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/operations.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Details of ImportData operation.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ImportDataOperationMetadata} + */ +public final class ImportDataOperationMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ImportDataOperationMetadata) + ImportDataOperationMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use ImportDataOperationMetadata.newBuilder() to construct. + private ImportDataOperationMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ImportDataOperationMetadata() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ImportDataOperationMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ImportDataOperationMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ImportDataOperationMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ImportDataOperationMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.class, + com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.Builder.class); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ImportDataOperationMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ImportDataOperationMetadata other = + (com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) obj; + + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ImportDataOperationMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImportDataOperationMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImportDataOperationMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImportDataOperationMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImportDataOperationMetadata parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImportDataOperationMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImportDataOperationMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImportDataOperationMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImportDataOperationMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImportDataOperationMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImportDataOperationMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImportDataOperationMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ImportDataOperationMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Details of ImportData operation.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ImportDataOperationMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ImportDataOperationMetadata) + com.google.cloud.automl.v1beta1.ImportDataOperationMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ImportDataOperationMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ImportDataOperationMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.class, + com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_ImportDataOperationMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImportDataOperationMetadata getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImportDataOperationMetadata build() { + com.google.cloud.automl.v1beta1.ImportDataOperationMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImportDataOperationMetadata buildPartial() { + com.google.cloud.automl.v1beta1.ImportDataOperationMetadata result = + new com.google.cloud.automl.v1beta1.ImportDataOperationMetadata(this); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.ImportDataOperationMetadata other) { + if (other == com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.getDefaultInstance()) + return this; + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ImportDataOperationMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ImportDataOperationMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ImportDataOperationMetadata) + private static final com.google.cloud.automl.v1beta1.ImportDataOperationMetadata DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ImportDataOperationMetadata(); + } + + public static com.google.cloud.automl.v1beta1.ImportDataOperationMetadata getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ImportDataOperationMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ImportDataOperationMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImportDataOperationMetadata getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataOperationMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataOperationMetadataOrBuilder.java new file mode 100644 index 000000000..95a58a64a --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataOperationMetadataOrBuilder.java @@ -0,0 +1,24 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/operations.proto + +package com.google.cloud.automl.v1beta1; + +public interface ImportDataOperationMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ImportDataOperationMetadata) + com.google.protobuf.MessageOrBuilder {} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataRequest.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataRequest.java new file mode 100644 index 000000000..9467d480a --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataRequest.java @@ -0,0 +1,966 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ImportDataRequest} + */ +public final class ImportDataRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ImportDataRequest) + ImportDataRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use ImportDataRequest.newBuilder() to construct. + private ImportDataRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ImportDataRequest() { + name_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ImportDataRequest(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ImportDataRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + name_ = s; + break; + } + case 26: + { + com.google.cloud.automl.v1beta1.InputConfig.Builder subBuilder = null; + if (inputConfig_ != null) { + subBuilder = inputConfig_.toBuilder(); + } + inputConfig_ = + input.readMessage( + com.google.cloud.automl.v1beta1.InputConfig.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(inputConfig_); + inputConfig_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ImportDataRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ImportDataRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ImportDataRequest.class, + com.google.cloud.automl.v1beta1.ImportDataRequest.Builder.class); + } + + public static final int NAME_FIELD_NUMBER = 1; + private volatile java.lang.Object name_; + /** + * + * + * 
+   * Required. Dataset name. Dataset must already exist. All imported
+   * annotations and examples will be added.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. Dataset name. Dataset must already exist. All imported
+   * annotations and examples will be added.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int INPUT_CONFIG_FIELD_NUMBER = 3; + private com.google.cloud.automl.v1beta1.InputConfig inputConfig_; + /** + * + * + * 
+   * Required. The desired input location and its domain specific semantics,
+   * if any.
+   *
+ * + * + * .google.cloud.automl.v1beta1.InputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the inputConfig field is set. + */ + public boolean hasInputConfig() { + return inputConfig_ != null; + } + /** + * + * + * 
+   * Required. The desired input location and its domain specific semantics,
+   * if any.
+   *
+ * + * + * .google.cloud.automl.v1beta1.InputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The inputConfig. + */ + public com.google.cloud.automl.v1beta1.InputConfig getInputConfig() { + return inputConfig_ == null + ? com.google.cloud.automl.v1beta1.InputConfig.getDefaultInstance() + : inputConfig_; + } + /** + * + * + * 
+   * Required. The desired input location and its domain specific semantics,
+   * if any.
+   *
+ * + * + * .google.cloud.automl.v1beta1.InputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.InputConfigOrBuilder getInputConfigOrBuilder() { + return getInputConfig(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_); + } + if (inputConfig_ != null) { + output.writeMessage(3, getInputConfig()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_); + } + if (inputConfig_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, getInputConfig()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ImportDataRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ImportDataRequest other = + (com.google.cloud.automl.v1beta1.ImportDataRequest) obj; + + if (!getName().equals(other.getName())) return false; + if (hasInputConfig() != other.hasInputConfig()) return false; + if (hasInputConfig()) { + if (!getInputConfig().equals(other.getInputConfig())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + NAME_FIELD_NUMBER; + hash = (53 * hash) + getName().hashCode(); + if (hasInputConfig()) { + hash = (37 * hash) + INPUT_CONFIG_FIELD_NUMBER; + hash = (53 * hash) + getInputConfig().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ImportDataRequest parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImportDataRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImportDataRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImportDataRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImportDataRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ImportDataRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImportDataRequest parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImportDataRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImportDataRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImportDataRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ImportDataRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ImportDataRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.ImportDataRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ImportDataRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ImportDataRequest) + com.google.cloud.automl.v1beta1.ImportDataRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ImportDataRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ImportDataRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ImportDataRequest.class, + com.google.cloud.automl.v1beta1.ImportDataRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.ImportDataRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + name_ = ""; + + if (inputConfigBuilder_ == null) { + inputConfig_ = null; + } else { + inputConfig_ = null; + inputConfigBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ImportDataRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImportDataRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ImportDataRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImportDataRequest build() { + com.google.cloud.automl.v1beta1.ImportDataRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImportDataRequest buildPartial() { + com.google.cloud.automl.v1beta1.ImportDataRequest result = + new com.google.cloud.automl.v1beta1.ImportDataRequest(this); + result.name_ = name_; + if (inputConfigBuilder_ == null) { + result.inputConfig_ = inputConfig_; + } else { + result.inputConfig_ = inputConfigBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ImportDataRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.ImportDataRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.ImportDataRequest other) { + if (other == com.google.cloud.automl.v1beta1.ImportDataRequest.getDefaultInstance()) + return this; + if (!other.getName().isEmpty()) { + name_ = other.name_; + onChanged(); + } + if (other.hasInputConfig()) { + mergeInputConfig(other.getInputConfig()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ImportDataRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ImportDataRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object name_ = ""; + /** + * + * + * 
+     * Required. Dataset name. Dataset must already exist. All imported
+     * annotations and examples will be added.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. Dataset name. Dataset must already exist. All imported
+     * annotations and examples will be added.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. Dataset name. Dataset must already exist. All imported
+     * annotations and examples will be added.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The name to set. + * @return This builder for chaining. + */ + public Builder setName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + name_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Dataset name. Dataset must already exist. All imported
+     * annotations and examples will be added.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return This builder for chaining. + */ + public Builder clearName() { + + name_ = getDefaultInstance().getName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Dataset name. Dataset must already exist. All imported
+     * annotations and examples will be added.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The bytes for name to set. + * @return This builder for chaining. + */ + public Builder setNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + name_ = value; + onChanged(); + return this; + } + + private com.google.cloud.automl.v1beta1.InputConfig inputConfig_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.InputConfig, + com.google.cloud.automl.v1beta1.InputConfig.Builder, + com.google.cloud.automl.v1beta1.InputConfigOrBuilder> + inputConfigBuilder_; + /** + * + * + * 
+     * Required. The desired input location and its domain specific semantics,
+     * if any.
+     *
+ * + * + * .google.cloud.automl.v1beta1.InputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the inputConfig field is set. + */ + public boolean hasInputConfig() { + return inputConfigBuilder_ != null || inputConfig_ != null; + } + /** + * + * + * 
+     * Required. The desired input location and its domain specific semantics,
+     * if any.
+     *
+ * + * + * .google.cloud.automl.v1beta1.InputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The inputConfig. + */ + public com.google.cloud.automl.v1beta1.InputConfig getInputConfig() { + if (inputConfigBuilder_ == null) { + return inputConfig_ == null + ? com.google.cloud.automl.v1beta1.InputConfig.getDefaultInstance() + : inputConfig_; + } else { + return inputConfigBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Required. The desired input location and its domain specific semantics,
+     * if any.
+     *
+ * + * + * .google.cloud.automl.v1beta1.InputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder setInputConfig(com.google.cloud.automl.v1beta1.InputConfig value) { + if (inputConfigBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + inputConfig_ = value; + onChanged(); + } else { + inputConfigBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Required. The desired input location and its domain specific semantics,
+     * if any.
+     *
+ * + * + * .google.cloud.automl.v1beta1.InputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder setInputConfig( + com.google.cloud.automl.v1beta1.InputConfig.Builder builderForValue) { + if (inputConfigBuilder_ == null) { + inputConfig_ = builderForValue.build(); + onChanged(); + } else { + inputConfigBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Required. The desired input location and its domain specific semantics,
+     * if any.
+     *
+ * + * + * .google.cloud.automl.v1beta1.InputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder mergeInputConfig(com.google.cloud.automl.v1beta1.InputConfig value) { + if (inputConfigBuilder_ == null) { + if (inputConfig_ != null) { + inputConfig_ = + com.google.cloud.automl.v1beta1.InputConfig.newBuilder(inputConfig_) + .mergeFrom(value) + .buildPartial(); + } else { + inputConfig_ = value; + } + onChanged(); + } else { + inputConfigBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Required. The desired input location and its domain specific semantics,
+     * if any.
+     *
+ * + * + * .google.cloud.automl.v1beta1.InputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder clearInputConfig() { + if (inputConfigBuilder_ == null) { + inputConfig_ = null; + onChanged(); + } else { + inputConfig_ = null; + inputConfigBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Required. The desired input location and its domain specific semantics,
+     * if any.
+     *
+ * + * + * .google.cloud.automl.v1beta1.InputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.InputConfig.Builder getInputConfigBuilder() { + + onChanged(); + return getInputConfigFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Required. The desired input location and its domain specific semantics,
+     * if any.
+     *
+ * + * + * .google.cloud.automl.v1beta1.InputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.InputConfigOrBuilder getInputConfigOrBuilder() { + if (inputConfigBuilder_ != null) { + return inputConfigBuilder_.getMessageOrBuilder(); + } else { + return inputConfig_ == null + ? com.google.cloud.automl.v1beta1.InputConfig.getDefaultInstance() + : inputConfig_; + } + } + /** + * + * + * 
+     * Required. The desired input location and its domain specific semantics,
+     * if any.
+     *
+ * + * + * .google.cloud.automl.v1beta1.InputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.InputConfig, + com.google.cloud.automl.v1beta1.InputConfig.Builder, + com.google.cloud.automl.v1beta1.InputConfigOrBuilder> + getInputConfigFieldBuilder() { + if (inputConfigBuilder_ == null) { + inputConfigBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.InputConfig, + com.google.cloud.automl.v1beta1.InputConfig.Builder, + com.google.cloud.automl.v1beta1.InputConfigOrBuilder>( + getInputConfig(), getParentForChildren(), isClean()); + inputConfig_ = null; + } + return inputConfigBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ImportDataRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ImportDataRequest) + private static final com.google.cloud.automl.v1beta1.ImportDataRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ImportDataRequest(); + } + + public static com.google.cloud.automl.v1beta1.ImportDataRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ImportDataRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ImportDataRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ImportDataRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataRequestOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataRequestOrBuilder.java new file mode 100644 index 000000000..3cdc3fbe0 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataRequestOrBuilder.java @@ -0,0 +1,100 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface ImportDataRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ImportDataRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. Dataset name. Dataset must already exist. All imported
+   * annotations and examples will be added.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + java.lang.String getName(); + /** + * + * + * 
+   * Required. Dataset name. Dataset must already exist. All imported
+   * annotations and examples will be added.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + com.google.protobuf.ByteString getNameBytes(); + + /** + * + * + * 
+   * Required. The desired input location and its domain specific semantics,
+   * if any.
+   *
+ * + * + * .google.cloud.automl.v1beta1.InputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the inputConfig field is set. + */ + boolean hasInputConfig(); + /** + * + * + * 
+   * Required. The desired input location and its domain specific semantics,
+   * if any.
+   *
+ * + * + * .google.cloud.automl.v1beta1.InputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The inputConfig. + */ + com.google.cloud.automl.v1beta1.InputConfig getInputConfig(); + /** + * + * + * 
+   * Required. The desired input location and its domain specific semantics,
+   * if any.
+   *
+ * + * + * .google.cloud.automl.v1beta1.InputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED]; + * + */ + com.google.cloud.automl.v1beta1.InputConfigOrBuilder getInputConfigOrBuilder(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/InputConfig.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/InputConfig.java new file mode 100644 index 000000000..5311e7f48 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/InputConfig.java @@ -0,0 +1,2223 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/io.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Input configuration for ImportData Action.
+ * The format of input depends on dataset_metadata the Dataset into which
+ * the import is happening has. As input source the
+ * [gcs_source][google.cloud.automl.v1beta1.InputConfig.gcs_source]
+ * is expected, unless specified otherwise. Additionally any input .CSV file
+ * by itself must be 100MB or smaller, unless specified otherwise.
+ * If an "example" file (that is, image, video etc.) with identical content
+ * (even if it had different GCS_FILE_PATH) is mentioned multiple times, then
+ * its label, bounding boxes etc. are appended. The same file should be always
+ * provided with the same ML_USE and GCS_FILE_PATH, if it is not, then
+ * these values are nondeterministically selected from the given ones.
+ * The formats are represented in EBNF with commas being literal and with
+ * non-terminal symbols defined near the end of this comment. The formats are:
+ *  *  For Image Classification:
+ *         CSV file(s) with each line in format:
+ *           ML_USE,GCS_FILE_PATH,LABEL,LABEL,...
+ *           GCS_FILE_PATH leads to image of up to 30MB in size. Supported
+ *           extensions: .JPEG, .GIF, .PNG, .WEBP, .BMP, .TIFF, .ICO
+ *           For MULTICLASS classification type, at most one LABEL is allowed
+ *           per image. If an image has not yet been labeled, then it should be
+ *           mentioned just once with no LABEL.
+ *         Some sample rows:
+ *           TRAIN,gs://folder/image1.jpg,daisy
+ *           TEST,gs://folder/image2.jpg,dandelion,tulip,rose
+ *           UNASSIGNED,gs://folder/image3.jpg,daisy
+ *           UNASSIGNED,gs://folder/image4.jpg
+ *  *  For Image Object Detection:
+ *         CSV file(s) with each line in format:
+ *           ML_USE,GCS_FILE_PATH,(LABEL,BOUNDING_BOX | ,,,,,,,)
+ *           GCS_FILE_PATH leads to image of up to 30MB in size. Supported
+ *           extensions: .JPEG, .GIF, .PNG.
+ *           Each image is assumed to be exhaustively labeled. The minimum
+ *           allowed BOUNDING_BOX edge length is 0.01, and no more than 500
+ *           BOUNDING_BOX-es per image are allowed (one BOUNDING_BOX is defined
+ *           per line). If an image has not yet been labeled, then it should be
+ *           mentioned just once with no LABEL and the ",,,,,,," in place of the
+ *           BOUNDING_BOX. For images which are known to not contain any
+ *           bounding boxes, they should be labelled explictly as
+ *           "NEGATIVE_IMAGE", followed by ",,,,,,," in place of the
+ *           BOUNDING_BOX.
+ *         Sample rows:
+ *           TRAIN,gs://folder/image1.png,car,0.1,0.1,,,0.3,0.3,,
+ *           TRAIN,gs://folder/image1.png,bike,.7,.6,,,.8,.9,,
+ *           UNASSIGNED,gs://folder/im2.png,car,0.1,0.1,0.2,0.1,0.2,0.3,0.1,0.3
+ *           TEST,gs://folder/im3.png,,,,,,,,,
+ *           TRAIN,gs://folder/im4.png,NEGATIVE_IMAGE,,,,,,,,,
+ *  *  For Video Classification:
+ *         CSV file(s) with each line in format:
+ *           ML_USE,GCS_FILE_PATH
+ *           where ML_USE VALIDATE value should not be used. The GCS_FILE_PATH
+ *           should lead to another .csv file which describes examples that have
+ *           given ML_USE, using the following row format:
+ *           GCS_FILE_PATH,(LABEL,TIME_SEGMENT_START,TIME_SEGMENT_END | ,,)
+ *           Here GCS_FILE_PATH leads to a video of up to 50GB in size and up
+ *           to 3h duration. Supported extensions: .MOV, .MPEG4, .MP4, .AVI.
+ *           TIME_SEGMENT_START and TIME_SEGMENT_END must be within the
+ *           length of the video, and end has to be after the start. Any segment
+ *           of a video which has one or more labels on it, is considered a
+ *           hard negative for all other labels. Any segment with no labels on
+ *           it is considered to be unknown. If a whole video is unknown, then
+ *           it shuold be mentioned just once with ",," in place of LABEL,
+ *           TIME_SEGMENT_START,TIME_SEGMENT_END.
+ *         Sample top level CSV file:
+ *           TRAIN,gs://folder/train_videos.csv
+ *           TEST,gs://folder/test_videos.csv
+ *           UNASSIGNED,gs://folder/other_videos.csv
+ *         Sample rows of a CSV file for a particular ML_USE:
+ *           gs://folder/video1.avi,car,120,180.000021
+ *           gs://folder/video1.avi,bike,150,180.000021
+ *           gs://folder/vid2.avi,car,0,60.5
+ *           gs://folder/vid3.avi,,,
+ *  *  For Video Object Tracking:
+ *         CSV file(s) with each line in format:
+ *           ML_USE,GCS_FILE_PATH
+ *           where ML_USE VALIDATE value should not be used. The GCS_FILE_PATH
+ *           should lead to another .csv file which describes examples that have
+ *           given ML_USE, using one of the following row format:
+ *           GCS_FILE_PATH,LABEL,[INSTANCE_ID],TIMESTAMP,BOUNDING_BOX
+ *           or
+ *           GCS_FILE_PATH,,,,,,,,,,
+ *           Here GCS_FILE_PATH leads to a video of up to 50GB in size and up
+ *           to 3h duration. Supported extensions: .MOV, .MPEG4, .MP4, .AVI.
+ *           Providing INSTANCE_IDs can help to obtain a better model. When
+ *           a specific labeled entity leaves the video frame, and shows up
+ *           afterwards it is not required, albeit preferable, that the same
+ *           INSTANCE_ID is given to it.
+ *           TIMESTAMP must be within the length of the video, the
+ *           BOUNDING_BOX is assumed to be drawn on the closest video's frame
+ *           to the TIMESTAMP. Any mentioned by the TIMESTAMP frame is expected
+ *           to be exhaustively labeled and no more than 500 BOUNDING_BOX-es per
+ *           frame are allowed. If a whole video is unknown, then it should be
+ *           mentioned just once with ",,,,,,,,,," in place of LABEL,
+ *           [INSTANCE_ID],TIMESTAMP,BOUNDING_BOX.
+ *         Sample top level CSV file:
+ *           TRAIN,gs://folder/train_videos.csv
+ *           TEST,gs://folder/test_videos.csv
+ *           UNASSIGNED,gs://folder/other_videos.csv
+ *         Seven sample rows of a CSV file for a particular ML_USE:
+ *           gs://folder/video1.avi,car,1,12.10,0.8,0.8,0.9,0.8,0.9,0.9,0.8,0.9
+ *           gs://folder/video1.avi,car,1,12.90,0.4,0.8,0.5,0.8,0.5,0.9,0.4,0.9
+ *           gs://folder/video1.avi,car,2,12.10,.4,.2,.5,.2,.5,.3,.4,.3
+ *           gs://folder/video1.avi,car,2,12.90,.8,.2,,,.9,.3,,
+ *           gs://folder/video1.avi,bike,,12.50,.45,.45,,,.55,.55,,
+ *           gs://folder/video2.avi,car,1,0,.1,.9,,,.9,.1,,
+ *           gs://folder/video2.avi,,,,,,,,,,,
+ *  *  For Text Extraction:
+ *         CSV file(s) with each line in format:
+ *           ML_USE,GCS_FILE_PATH
+ *           GCS_FILE_PATH leads to a .JSONL (that is, JSON Lines) file which
+ *           either imports text in-line or as documents. Any given
+ *           .JSONL file must be 100MB or smaller.
+ *           The in-line .JSONL file contains, per line, a proto that wraps a
+ *           TextSnippet proto (in json representation) followed by one or more
+ *           AnnotationPayload protos (called annotations), which have
+ *           display_name and text_extraction detail populated. The given text
+ *           is expected to be annotated exhaustively, for example, if you look
+ *           for animals and text contains "dolphin" that is not labeled, then
+ *           "dolphin" is assumed to not be an animal. Any given text snippet
+ *           content must be 10KB or smaller, and also be UTF-8 NFC encoded
+ *           (ASCII already is).
+ *           The document .JSONL file contains, per line, a proto that wraps a
+ *           Document proto. The Document proto must have either document_text
+ *           or input_config set. In document_text case, the Document proto may
+ *           also contain the spatial information of the document, including
+ *           layout, document dimension and page number. In input_config case,
+ *           only PDF documents are supported now, and each document may be up
+ *           to 2MB large. Currently, annotations on documents cannot be
+ *           specified at import.
+ *         Three sample CSV rows:
+ *           TRAIN,gs://folder/file1.jsonl
+ *           VALIDATE,gs://folder/file2.jsonl
+ *           TEST,gs://folder/file3.jsonl
+ *         Sample in-line JSON Lines file for entity extraction (presented here
+ *         with artificial line breaks, but the only actual line break is
+ *         denoted by \n).:
+ *           {
+ *             "document": {
+ *               "document_text": {"content": "dog cat"}
+ *               "layout": [
+ *                 {
+ *                   "text_segment": {
+ *                     "start_offset": 0,
+ *                     "end_offset": 3,
+ *                   },
+ *                   "page_number": 1,
+ *                   "bounding_poly": {
+ *                     "normalized_vertices": [
+ *                       {"x": 0.1, "y": 0.1},
+ *                       {"x": 0.1, "y": 0.3},
+ *                       {"x": 0.3, "y": 0.3},
+ *                       {"x": 0.3, "y": 0.1},
+ *                     ],
+ *                   },
+ *                   "text_segment_type": TOKEN,
+ *                 },
+ *                 {
+ *                   "text_segment": {
+ *                     "start_offset": 4,
+ *                     "end_offset": 7,
+ *                   },
+ *                   "page_number": 1,
+ *                   "bounding_poly": {
+ *                     "normalized_vertices": [
+ *                       {"x": 0.4, "y": 0.1},
+ *                       {"x": 0.4, "y": 0.3},
+ *                       {"x": 0.8, "y": 0.3},
+ *                       {"x": 0.8, "y": 0.1},
+ *                     ],
+ *                   },
+ *                   "text_segment_type": TOKEN,
+ *                 }
+ *               ],
+ *               "document_dimensions": {
+ *                 "width": 8.27,
+ *                 "height": 11.69,
+ *                 "unit": INCH,
+ *               }
+ *               "page_count": 1,
+ *             },
+ *             "annotations": [
+ *               {
+ *                 "display_name": "animal",
+ *                 "text_extraction": {"text_segment": {"start_offset": 0,
+ *                 "end_offset": 3}}
+ *               },
+ *               {
+ *                 "display_name": "animal",
+ *                 "text_extraction": {"text_segment": {"start_offset": 4,
+ *                 "end_offset": 7}}
+ *               }
+ *             ],
+ *           }\n
+ *           {
+ *              "text_snippet": {
+ *                "content": "This dog is good."
+ *              },
+ *              "annotations": [
+ *                {
+ *                  "display_name": "animal",
+ *                  "text_extraction": {
+ *                    "text_segment": {"start_offset": 5, "end_offset": 8}
+ *                  }
+ *                }
+ *              ]
+ *           }
+ *         Sample document JSON Lines file (presented here with artificial line
+ *         breaks, but the only actual line break is denoted by \n).:
+ *           {
+ *             "document": {
+ *               "input_config": {
+ *                 "gcs_source": { "input_uris": [ "gs://folder/document1.pdf" ]
+ *                 }
+ *               }
+ *             }
+ *           }\n
+ *           {
+ *             "document": {
+ *               "input_config": {
+ *                 "gcs_source": { "input_uris": [ "gs://folder/document2.pdf" ]
+ *                 }
+ *               }
+ *             }
+ *           }
+ *  *  For Text Classification:
+ *         CSV file(s) with each line in format:
+ *           ML_USE,(TEXT_SNIPPET | GCS_FILE_PATH),LABEL,LABEL,...
+ *           TEXT_SNIPPET and GCS_FILE_PATH are distinguished by a pattern. If
+ *           the column content is a valid gcs file path, i.e. prefixed by
+ *           "gs://", it will be treated as a GCS_FILE_PATH, else if the content
+ *           is enclosed within double quotes (""), it is
+ *           treated as a TEXT_SNIPPET. In the GCS_FILE_PATH case, the path
+ *           must lead to a .txt file with UTF-8 encoding, for example,
+ *           "gs://folder/content.txt", and the content in it is extracted
+ *           as a text snippet. In TEXT_SNIPPET case, the column content
+ *           excluding quotes is treated as to be imported text snippet. In
+ *           both cases, the text snippet/file size must be within 128kB.
+ *           Maximum 100 unique labels are allowed per CSV row.
+ *         Sample rows:
+ *           TRAIN,"They have bad food and very rude",RudeService,BadFood
+ *           TRAIN,gs://folder/content.txt,SlowService
+ *           TEST,"Typically always bad service there.",RudeService
+ *           VALIDATE,"Stomach ache to go.",BadFood
+ *  *  For Text Sentiment:
+ *         CSV file(s) with each line in format:
+ *           ML_USE,(TEXT_SNIPPET | GCS_FILE_PATH),SENTIMENT
+ *           TEXT_SNIPPET and GCS_FILE_PATH are distinguished by a pattern. If
+ *           the column content is a valid gcs file path, that is, prefixed by
+ *           "gs://", it is treated as a GCS_FILE_PATH, otherwise it is treated
+ *           as a TEXT_SNIPPET. In the GCS_FILE_PATH case, the path
+ *           must lead to a .txt file with UTF-8 encoding, for example,
+ *           "gs://folder/content.txt", and the content in it is extracted
+ *           as a text snippet. In TEXT_SNIPPET case, the column content itself
+ *           is treated as to be imported text snippet. In both cases, the
+ *           text snippet must be up to 500 characters long.
+ *         Sample rows:
+ *           TRAIN,"@freewrytin this is way too good for your product",2
+ *           TRAIN,"I need this product so bad",3
+ *           TEST,"Thank you for this product.",4
+ *           VALIDATE,gs://folder/content.txt,2
+ *   *  For Tables:
+ *         Either
+ *         [gcs_source][google.cloud.automl.v1beta1.InputConfig.gcs_source] or
+ * [bigquery_source][google.cloud.automl.v1beta1.InputConfig.bigquery_source]
+ *         can be used. All inputs is concatenated into a single
+ * [primary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_name]
+ *         For gcs_source:
+ *           CSV file(s), where the first row of the first file is the header,
+ *           containing unique column names. If the first row of a subsequent
+ *           file is the same as the header, then it is also treated as a
+ *           header. All other rows contain values for the corresponding
+ *           columns.
+ *           Each .CSV file by itself must be 10GB or smaller, and their total
+ *           size must be 100GB or smaller.
+ *           First three sample rows of a CSV file:
+ *           "Id","First Name","Last Name","Dob","Addresses"
+ * "1","John","Doe","1968-01-22","[{"status":"current","address":"123_First_Avenue","city":"Seattle","state":"WA","zip":"11111","numberOfYears":"1"},{"status":"previous","address":"456_Main_Street","city":"Portland","state":"OR","zip":"22222","numberOfYears":"5"}]"
+ * "2","Jane","Doe","1980-10-16","[{"status":"current","address":"789_Any_Avenue","city":"Albany","state":"NY","zip":"33333","numberOfYears":"2"},{"status":"previous","address":"321_Main_Street","city":"Hoboken","state":"NJ","zip":"44444","numberOfYears":"3"}]}
+ *         For bigquery_source:
+ *           An URI of a BigQuery table. The user data size of the BigQuery
+ *           table must be 100GB or smaller.
+ *         An imported table must have between 2 and 1,000 columns, inclusive,
+ *         and between 1000 and 100,000,000 rows, inclusive. There are at most 5
+ *         import data running in parallel.
+ *  Definitions:
+ *  ML_USE = "TRAIN" | "VALIDATE" | "TEST" | "UNASSIGNED"
+ *           Describes how the given example (file) should be used for model
+ *           training. "UNASSIGNED" can be used when user has no preference.
+ *  GCS_FILE_PATH = A path to file on GCS, e.g. "gs://folder/image1.png".
+ *  LABEL = A display name of an object on an image, video etc., e.g. "dog".
+ *          Must be up to 32 characters long and can consist only of ASCII
+ *          Latin letters A-Z and a-z, underscores(_), and ASCII digits 0-9.
+ *          For each label an AnnotationSpec is created which display_name
+ *          becomes the label; AnnotationSpecs are given back in predictions.
+ *  INSTANCE_ID = A positive integer that identifies a specific instance of a
+ *                labeled entity on an example. Used e.g. to track two cars on
+ *                a video while being able to tell apart which one is which.
+ *  BOUNDING_BOX = VERTEX,VERTEX,VERTEX,VERTEX | VERTEX,,,VERTEX,,
+ *                 A rectangle parallel to the frame of the example (image,
+ *                 video). If 4 vertices are given they are connected by edges
+ *                 in the order provided, if 2 are given they are recognized
+ *                 as diagonally opposite vertices of the rectangle.
+ *  VERTEX = COORDINATE,COORDINATE
+ *           First coordinate is horizontal (x), the second is vertical (y).
+ *  COORDINATE = A float in 0 to 1 range, relative to total length of
+ *               image or video in given dimension. For fractions the
+ *               leading non-decimal 0 can be omitted (i.e. 0.3 = .3).
+ *               Point 0,0 is in top left.
+ *  TIME_SEGMENT_START = TIME_OFFSET
+ *                       Expresses a beginning, inclusive, of a time segment
+ *                       within an example that has a time dimension
+ *                       (e.g. video).
+ *  TIME_SEGMENT_END = TIME_OFFSET
+ *                     Expresses an end, exclusive, of a time segment within
+ *                     an example that has a time dimension (e.g. video).
+ *  TIME_OFFSET = A number of seconds as measured from the start of an
+ *                example (e.g. video). Fractions are allowed, up to a
+ *                microsecond precision. "inf" is allowed, and it means the end
+ *                of the example.
+ *  TEXT_SNIPPET = A content of a text snippet, UTF-8 encoded, enclosed within
+ *                 double quotes ("").
+ *  SENTIMENT = An integer between 0 and
+ *              Dataset.text_sentiment_dataset_metadata.sentiment_max
+ *              (inclusive). Describes the ordinal of the sentiment - higher
+ *              value means a more positive sentiment. All the values are
+ *              completely relative, i.e. neither 0 needs to mean a negative or
+ *              neutral sentiment nor sentiment_max needs to mean a positive one
+ *              - it is just required that 0 is the least positive sentiment
+ *              in the data, and sentiment_max is the  most positive one.
+ *              The SENTIMENT shouldn't be confused with "score" or "magnitude"
+ *              from the previous Natural Language Sentiment Analysis API.
+ *              All SENTIMENT values between 0 and sentiment_max must be
+ *              represented in the imported data. On prediction the same 0 to
+ *              sentiment_max range will be used. The difference between
+ *              neighboring sentiment values needs not to be uniform, e.g. 1 and
+ *              2 may be similar whereas the difference between 2 and 3 may be
+ *              huge.
+ *  Errors:
+ *  If any of the provided CSV files can't be parsed or if more than certain
+ *  percent of CSV rows cannot be processed then the operation fails and
+ *  nothing is imported. Regardless of overall success or failure the per-row
+ *  failures, up to a certain count cap, is listed in
+ *  Operation.metadata.partial_failures.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.InputConfig} + */ +public final class InputConfig extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.InputConfig) + InputConfigOrBuilder { + private static final long serialVersionUID = 0L; + // Use InputConfig.newBuilder() to construct. + private InputConfig(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private InputConfig() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new InputConfig(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private InputConfig( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + com.google.cloud.automl.v1beta1.GcsSource.Builder subBuilder = null; + if (sourceCase_ == 1) { + subBuilder = ((com.google.cloud.automl.v1beta1.GcsSource) source_).toBuilder(); + } + source_ = + input.readMessage( + com.google.cloud.automl.v1beta1.GcsSource.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.GcsSource) source_); + source_ = subBuilder.buildPartial(); + } + sourceCase_ = 1; + break; + } + case 18: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + params_ = + com.google.protobuf.MapField.newMapField(ParamsDefaultEntryHolder.defaultEntry); + mutable_bitField0_ |= 0x00000001; + } + com.google.protobuf.MapEntry params__ = + input.readMessage( + ParamsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry); + params_.getMutableMap().put(params__.getKey(), params__.getValue()); + break; + } + case 26: + { + com.google.cloud.automl.v1beta1.BigQuerySource.Builder subBuilder = null; + if (sourceCase_ == 3) { + subBuilder = ((com.google.cloud.automl.v1beta1.BigQuerySource) source_).toBuilder(); + } + source_ = + input.readMessage( + com.google.cloud.automl.v1beta1.BigQuerySource.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.BigQuerySource) source_); + source_ = subBuilder.buildPartial(); + } + sourceCase_ = 3; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_InputConfig_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + @java.lang.Override + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 2: + return internalGetParams(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_InputConfig_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.InputConfig.class, + com.google.cloud.automl.v1beta1.InputConfig.Builder.class); + } + + private int sourceCase_ = 0; + private java.lang.Object source_; + + public enum SourceCase + implements + com.google.protobuf.Internal.EnumLite, + com.google.protobuf.AbstractMessage.InternalOneOfEnum { + GCS_SOURCE(1), + BIGQUERY_SOURCE(3), + SOURCE_NOT_SET(0); + private final int value; + + private SourceCase(int value) { + this.value = value; + } + /** + * @param value The number of the enum to look for. + * @return The enum associated with the given number. + * @deprecated Use {@link #forNumber(int)} instead. + */ + @java.lang.Deprecated + public static SourceCase valueOf(int value) { + return forNumber(value); + } + + public static SourceCase forNumber(int value) { + switch (value) { + case 1: + return GCS_SOURCE; + case 3: + return BIGQUERY_SOURCE; + case 0: + return SOURCE_NOT_SET; + default: + return null; + } + } + + public int getNumber() { + return this.value; + } + }; + + public SourceCase getSourceCase() { + return SourceCase.forNumber(sourceCase_); + } + + public static final int GCS_SOURCE_FIELD_NUMBER = 1; + /** + * + * + * 
+   * The Google Cloud Storage location for the input content.
+   * In ImportData, the gcs_source points to a csv with structure described in
+   * the comment.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + * + * @return Whether the gcsSource field is set. + */ + public boolean hasGcsSource() { + return sourceCase_ == 1; + } + /** + * + * + * 
+   * The Google Cloud Storage location for the input content.
+   * In ImportData, the gcs_source points to a csv with structure described in
+   * the comment.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + * + * @return The gcsSource. + */ + public com.google.cloud.automl.v1beta1.GcsSource getGcsSource() { + if (sourceCase_ == 1) { + return (com.google.cloud.automl.v1beta1.GcsSource) source_; + } + return com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance(); + } + /** + * + * + * 
+   * The Google Cloud Storage location for the input content.
+   * In ImportData, the gcs_source points to a csv with structure described in
+   * the comment.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + */ + public com.google.cloud.automl.v1beta1.GcsSourceOrBuilder getGcsSourceOrBuilder() { + if (sourceCase_ == 1) { + return (com.google.cloud.automl.v1beta1.GcsSource) source_; + } + return com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance(); + } + + public static final int BIGQUERY_SOURCE_FIELD_NUMBER = 3; + /** + * + * + * 
+   * The BigQuery location for the input content.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3; + * + * @return Whether the bigquerySource field is set. + */ + public boolean hasBigquerySource() { + return sourceCase_ == 3; + } + /** + * + * + * 
+   * The BigQuery location for the input content.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3; + * + * @return The bigquerySource. + */ + public com.google.cloud.automl.v1beta1.BigQuerySource getBigquerySource() { + if (sourceCase_ == 3) { + return (com.google.cloud.automl.v1beta1.BigQuerySource) source_; + } + return com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance(); + } + /** + * + * + * 
+   * The BigQuery location for the input content.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3; + */ + public com.google.cloud.automl.v1beta1.BigQuerySourceOrBuilder getBigquerySourceOrBuilder() { + if (sourceCase_ == 3) { + return (com.google.cloud.automl.v1beta1.BigQuerySource) source_; + } + return com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance(); + } + + public static final int PARAMS_FIELD_NUMBER = 2; + + private static final class ParamsDefaultEntryHolder { + static final com.google.protobuf.MapEntry defaultEntry = + com.google.protobuf.MapEntry.newDefaultInstance( + com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_InputConfig_ParamsEntry_descriptor, + com.google.protobuf.WireFormat.FieldType.STRING, + "", + com.google.protobuf.WireFormat.FieldType.STRING, + ""); + } + + private com.google.protobuf.MapField params_; + + private com.google.protobuf.MapField internalGetParams() { + if (params_ == null) { + return com.google.protobuf.MapField.emptyMapField(ParamsDefaultEntryHolder.defaultEntry); + } + return params_; + } + + public int getParamsCount() { + return internalGetParams().getMap().size(); + } + /** + * + * + * 
+   * Additional domain-specific parameters describing the semantic of the
+   * imported data, any string must be up to 25000
+   * characters long.
+   * *  For Tables:
+   *    `schema_inference_version` - (integer) Required. The version of the
+   *        algorithm that should be used for the initial inference of the
+   *        schema (columns' DataTypes) of the table the data is being imported
+   *        into. Allowed values: "1".
+   *
+ * + * map<string, string> params = 2; + */ + public boolean containsParams(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetParams().getMap().containsKey(key); + } + /** Use {@link #getParamsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map getParams() { + return getParamsMap(); + } + /** + * + * + * 
+   * Additional domain-specific parameters describing the semantic of the
+   * imported data, any string must be up to 25000
+   * characters long.
+   * *  For Tables:
+   *    `schema_inference_version` - (integer) Required. The version of the
+   *        algorithm that should be used for the initial inference of the
+   *        schema (columns' DataTypes) of the table the data is being imported
+   *        into. Allowed values: "1".
+   *
+ * + * map<string, string> params = 2; + */ + public java.util.Map getParamsMap() { + return internalGetParams().getMap(); + } + /** + * + * + * 
+   * Additional domain-specific parameters describing the semantic of the
+   * imported data, any string must be up to 25000
+   * characters long.
+   * *  For Tables:
+   *    `schema_inference_version` - (integer) Required. The version of the
+   *        algorithm that should be used for the initial inference of the
+   *        schema (columns' DataTypes) of the table the data is being imported
+   *        into. Allowed values: "1".
+   *
+ * + * map<string, string> params = 2; + */ + public java.lang.String getParamsOrDefault(java.lang.String key, java.lang.String defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = internalGetParams().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+   * Additional domain-specific parameters describing the semantic of the
+   * imported data, any string must be up to 25000
+   * characters long.
+   * *  For Tables:
+   *    `schema_inference_version` - (integer) Required. The version of the
+   *        algorithm that should be used for the initial inference of the
+   *        schema (columns' DataTypes) of the table the data is being imported
+   *        into. Allowed values: "1".
+   *
+ * + * map<string, string> params = 2; + */ + public java.lang.String getParamsOrThrow(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = internalGetParams().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (sourceCase_ == 1) { + output.writeMessage(1, (com.google.cloud.automl.v1beta1.GcsSource) source_); + } + com.google.protobuf.GeneratedMessageV3.serializeStringMapTo( + output, internalGetParams(), ParamsDefaultEntryHolder.defaultEntry, 2); + if (sourceCase_ == 3) { + output.writeMessage(3, (com.google.cloud.automl.v1beta1.BigQuerySource) source_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (sourceCase_ == 1) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 1, (com.google.cloud.automl.v1beta1.GcsSource) source_); + } + for (java.util.Map.Entry entry : + internalGetParams().getMap().entrySet()) { + com.google.protobuf.MapEntry params__ = + ParamsDefaultEntryHolder.defaultEntry + .newBuilderForType() + .setKey(entry.getKey()) + .setValue(entry.getValue()) + .build(); + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, params__); + } + if (sourceCase_ == 3) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 3, (com.google.cloud.automl.v1beta1.BigQuerySource) source_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.InputConfig)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.InputConfig other = + (com.google.cloud.automl.v1beta1.InputConfig) obj; + + if (!internalGetParams().equals(other.internalGetParams())) return false; + if (!getSourceCase().equals(other.getSourceCase())) return false; + switch (sourceCase_) { + case 1: + if (!getGcsSource().equals(other.getGcsSource())) return false; + break; + case 3: + if (!getBigquerySource().equals(other.getBigquerySource())) return false; + break; + case 0: + default: + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (!internalGetParams().getMap().isEmpty()) { + hash = (37 * hash) + PARAMS_FIELD_NUMBER; + hash = (53 * hash) + internalGetParams().hashCode(); + } + switch (sourceCase_) { + case 1: + hash = (37 * hash) + GCS_SOURCE_FIELD_NUMBER; + hash = (53 * hash) + getGcsSource().hashCode(); + break; + case 3: + hash = (37 * hash) + BIGQUERY_SOURCE_FIELD_NUMBER; + hash = (53 * hash) + getBigquerySource().hashCode(); + break; + case 0: + default: + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.InputConfig parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.InputConfig parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.InputConfig parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.InputConfig parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.InputConfig parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.InputConfig parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.InputConfig parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.InputConfig parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.InputConfig parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.InputConfig parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.InputConfig parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.InputConfig parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.InputConfig prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Input configuration for ImportData Action.
+   * The format of input depends on dataset_metadata the Dataset into which
+   * the import is happening has. As input source the
+   * [gcs_source][google.cloud.automl.v1beta1.InputConfig.gcs_source]
+   * is expected, unless specified otherwise. Additionally any input .CSV file
+   * by itself must be 100MB or smaller, unless specified otherwise.
+   * If an "example" file (that is, image, video etc.) with identical content
+   * (even if it had different GCS_FILE_PATH) is mentioned multiple times, then
+   * its label, bounding boxes etc. are appended. The same file should be always
+   * provided with the same ML_USE and GCS_FILE_PATH, if it is not, then
+   * these values are nondeterministically selected from the given ones.
+   * The formats are represented in EBNF with commas being literal and with
+   * non-terminal symbols defined near the end of this comment. The formats are:
+   *  *  For Image Classification:
+   *         CSV file(s) with each line in format:
+   *           ML_USE,GCS_FILE_PATH,LABEL,LABEL,...
+   *           GCS_FILE_PATH leads to image of up to 30MB in size. Supported
+   *           extensions: .JPEG, .GIF, .PNG, .WEBP, .BMP, .TIFF, .ICO
+   *           For MULTICLASS classification type, at most one LABEL is allowed
+   *           per image. If an image has not yet been labeled, then it should be
+   *           mentioned just once with no LABEL.
+   *         Some sample rows:
+   *           TRAIN,gs://folder/image1.jpg,daisy
+   *           TEST,gs://folder/image2.jpg,dandelion,tulip,rose
+   *           UNASSIGNED,gs://folder/image3.jpg,daisy
+   *           UNASSIGNED,gs://folder/image4.jpg
+   *  *  For Image Object Detection:
+   *         CSV file(s) with each line in format:
+   *           ML_USE,GCS_FILE_PATH,(LABEL,BOUNDING_BOX | ,,,,,,,)
+   *           GCS_FILE_PATH leads to image of up to 30MB in size. Supported
+   *           extensions: .JPEG, .GIF, .PNG.
+   *           Each image is assumed to be exhaustively labeled. The minimum
+   *           allowed BOUNDING_BOX edge length is 0.01, and no more than 500
+   *           BOUNDING_BOX-es per image are allowed (one BOUNDING_BOX is defined
+   *           per line). If an image has not yet been labeled, then it should be
+   *           mentioned just once with no LABEL and the ",,,,,,," in place of the
+   *           BOUNDING_BOX. For images which are known to not contain any
+   *           bounding boxes, they should be labelled explictly as
+   *           "NEGATIVE_IMAGE", followed by ",,,,,,," in place of the
+   *           BOUNDING_BOX.
+   *         Sample rows:
+   *           TRAIN,gs://folder/image1.png,car,0.1,0.1,,,0.3,0.3,,
+   *           TRAIN,gs://folder/image1.png,bike,.7,.6,,,.8,.9,,
+   *           UNASSIGNED,gs://folder/im2.png,car,0.1,0.1,0.2,0.1,0.2,0.3,0.1,0.3
+   *           TEST,gs://folder/im3.png,,,,,,,,,
+   *           TRAIN,gs://folder/im4.png,NEGATIVE_IMAGE,,,,,,,,,
+   *  *  For Video Classification:
+   *         CSV file(s) with each line in format:
+   *           ML_USE,GCS_FILE_PATH
+   *           where ML_USE VALIDATE value should not be used. The GCS_FILE_PATH
+   *           should lead to another .csv file which describes examples that have
+   *           given ML_USE, using the following row format:
+   *           GCS_FILE_PATH,(LABEL,TIME_SEGMENT_START,TIME_SEGMENT_END | ,,)
+   *           Here GCS_FILE_PATH leads to a video of up to 50GB in size and up
+   *           to 3h duration. Supported extensions: .MOV, .MPEG4, .MP4, .AVI.
+   *           TIME_SEGMENT_START and TIME_SEGMENT_END must be within the
+   *           length of the video, and end has to be after the start. Any segment
+   *           of a video which has one or more labels on it, is considered a
+   *           hard negative for all other labels. Any segment with no labels on
+   *           it is considered to be unknown. If a whole video is unknown, then
+   *           it shuold be mentioned just once with ",," in place of LABEL,
+   *           TIME_SEGMENT_START,TIME_SEGMENT_END.
+   *         Sample top level CSV file:
+   *           TRAIN,gs://folder/train_videos.csv
+   *           TEST,gs://folder/test_videos.csv
+   *           UNASSIGNED,gs://folder/other_videos.csv
+   *         Sample rows of a CSV file for a particular ML_USE:
+   *           gs://folder/video1.avi,car,120,180.000021
+   *           gs://folder/video1.avi,bike,150,180.000021
+   *           gs://folder/vid2.avi,car,0,60.5
+   *           gs://folder/vid3.avi,,,
+   *  *  For Video Object Tracking:
+   *         CSV file(s) with each line in format:
+   *           ML_USE,GCS_FILE_PATH
+   *           where ML_USE VALIDATE value should not be used. The GCS_FILE_PATH
+   *           should lead to another .csv file which describes examples that have
+   *           given ML_USE, using one of the following row format:
+   *           GCS_FILE_PATH,LABEL,[INSTANCE_ID],TIMESTAMP,BOUNDING_BOX
+   *           or
+   *           GCS_FILE_PATH,,,,,,,,,,
+   *           Here GCS_FILE_PATH leads to a video of up to 50GB in size and up
+   *           to 3h duration. Supported extensions: .MOV, .MPEG4, .MP4, .AVI.
+   *           Providing INSTANCE_IDs can help to obtain a better model. When
+   *           a specific labeled entity leaves the video frame, and shows up
+   *           afterwards it is not required, albeit preferable, that the same
+   *           INSTANCE_ID is given to it.
+   *           TIMESTAMP must be within the length of the video, the
+   *           BOUNDING_BOX is assumed to be drawn on the closest video's frame
+   *           to the TIMESTAMP. Any mentioned by the TIMESTAMP frame is expected
+   *           to be exhaustively labeled and no more than 500 BOUNDING_BOX-es per
+   *           frame are allowed. If a whole video is unknown, then it should be
+   *           mentioned just once with ",,,,,,,,,," in place of LABEL,
+   *           [INSTANCE_ID],TIMESTAMP,BOUNDING_BOX.
+   *         Sample top level CSV file:
+   *           TRAIN,gs://folder/train_videos.csv
+   *           TEST,gs://folder/test_videos.csv
+   *           UNASSIGNED,gs://folder/other_videos.csv
+   *         Seven sample rows of a CSV file for a particular ML_USE:
+   *           gs://folder/video1.avi,car,1,12.10,0.8,0.8,0.9,0.8,0.9,0.9,0.8,0.9
+   *           gs://folder/video1.avi,car,1,12.90,0.4,0.8,0.5,0.8,0.5,0.9,0.4,0.9
+   *           gs://folder/video1.avi,car,2,12.10,.4,.2,.5,.2,.5,.3,.4,.3
+   *           gs://folder/video1.avi,car,2,12.90,.8,.2,,,.9,.3,,
+   *           gs://folder/video1.avi,bike,,12.50,.45,.45,,,.55,.55,,
+   *           gs://folder/video2.avi,car,1,0,.1,.9,,,.9,.1,,
+   *           gs://folder/video2.avi,,,,,,,,,,,
+   *  *  For Text Extraction:
+   *         CSV file(s) with each line in format:
+   *           ML_USE,GCS_FILE_PATH
+   *           GCS_FILE_PATH leads to a .JSONL (that is, JSON Lines) file which
+   *           either imports text in-line or as documents. Any given
+   *           .JSONL file must be 100MB or smaller.
+   *           The in-line .JSONL file contains, per line, a proto that wraps a
+   *           TextSnippet proto (in json representation) followed by one or more
+   *           AnnotationPayload protos (called annotations), which have
+   *           display_name and text_extraction detail populated. The given text
+   *           is expected to be annotated exhaustively, for example, if you look
+   *           for animals and text contains "dolphin" that is not labeled, then
+   *           "dolphin" is assumed to not be an animal. Any given text snippet
+   *           content must be 10KB or smaller, and also be UTF-8 NFC encoded
+   *           (ASCII already is).
+   *           The document .JSONL file contains, per line, a proto that wraps a
+   *           Document proto. The Document proto must have either document_text
+   *           or input_config set. In document_text case, the Document proto may
+   *           also contain the spatial information of the document, including
+   *           layout, document dimension and page number. In input_config case,
+   *           only PDF documents are supported now, and each document may be up
+   *           to 2MB large. Currently, annotations on documents cannot be
+   *           specified at import.
+   *         Three sample CSV rows:
+   *           TRAIN,gs://folder/file1.jsonl
+   *           VALIDATE,gs://folder/file2.jsonl
+   *           TEST,gs://folder/file3.jsonl
+   *         Sample in-line JSON Lines file for entity extraction (presented here
+   *         with artificial line breaks, but the only actual line break is
+   *         denoted by \n).:
+   *           {
+   *             "document": {
+   *               "document_text": {"content": "dog cat"}
+   *               "layout": [
+   *                 {
+   *                   "text_segment": {
+   *                     "start_offset": 0,
+   *                     "end_offset": 3,
+   *                   },
+   *                   "page_number": 1,
+   *                   "bounding_poly": {
+   *                     "normalized_vertices": [
+   *                       {"x": 0.1, "y": 0.1},
+   *                       {"x": 0.1, "y": 0.3},
+   *                       {"x": 0.3, "y": 0.3},
+   *                       {"x": 0.3, "y": 0.1},
+   *                     ],
+   *                   },
+   *                   "text_segment_type": TOKEN,
+   *                 },
+   *                 {
+   *                   "text_segment": {
+   *                     "start_offset": 4,
+   *                     "end_offset": 7,
+   *                   },
+   *                   "page_number": 1,
+   *                   "bounding_poly": {
+   *                     "normalized_vertices": [
+   *                       {"x": 0.4, "y": 0.1},
+   *                       {"x": 0.4, "y": 0.3},
+   *                       {"x": 0.8, "y": 0.3},
+   *                       {"x": 0.8, "y": 0.1},
+   *                     ],
+   *                   },
+   *                   "text_segment_type": TOKEN,
+   *                 }
+   *               ],
+   *               "document_dimensions": {
+   *                 "width": 8.27,
+   *                 "height": 11.69,
+   *                 "unit": INCH,
+   *               }
+   *               "page_count": 1,
+   *             },
+   *             "annotations": [
+   *               {
+   *                 "display_name": "animal",
+   *                 "text_extraction": {"text_segment": {"start_offset": 0,
+   *                 "end_offset": 3}}
+   *               },
+   *               {
+   *                 "display_name": "animal",
+   *                 "text_extraction": {"text_segment": {"start_offset": 4,
+   *                 "end_offset": 7}}
+   *               }
+   *             ],
+   *           }\n
+   *           {
+   *              "text_snippet": {
+   *                "content": "This dog is good."
+   *              },
+   *              "annotations": [
+   *                {
+   *                  "display_name": "animal",
+   *                  "text_extraction": {
+   *                    "text_segment": {"start_offset": 5, "end_offset": 8}
+   *                  }
+   *                }
+   *              ]
+   *           }
+   *         Sample document JSON Lines file (presented here with artificial line
+   *         breaks, but the only actual line break is denoted by \n).:
+   *           {
+   *             "document": {
+   *               "input_config": {
+   *                 "gcs_source": { "input_uris": [ "gs://folder/document1.pdf" ]
+   *                 }
+   *               }
+   *             }
+   *           }\n
+   *           {
+   *             "document": {
+   *               "input_config": {
+   *                 "gcs_source": { "input_uris": [ "gs://folder/document2.pdf" ]
+   *                 }
+   *               }
+   *             }
+   *           }
+   *  *  For Text Classification:
+   *         CSV file(s) with each line in format:
+   *           ML_USE,(TEXT_SNIPPET | GCS_FILE_PATH),LABEL,LABEL,...
+   *           TEXT_SNIPPET and GCS_FILE_PATH are distinguished by a pattern. If
+   *           the column content is a valid gcs file path, i.e. prefixed by
+   *           "gs://", it will be treated as a GCS_FILE_PATH, else if the content
+   *           is enclosed within double quotes (""), it is
+   *           treated as a TEXT_SNIPPET. In the GCS_FILE_PATH case, the path
+   *           must lead to a .txt file with UTF-8 encoding, for example,
+   *           "gs://folder/content.txt", and the content in it is extracted
+   *           as a text snippet. In TEXT_SNIPPET case, the column content
+   *           excluding quotes is treated as to be imported text snippet. In
+   *           both cases, the text snippet/file size must be within 128kB.
+   *           Maximum 100 unique labels are allowed per CSV row.
+   *         Sample rows:
+   *           TRAIN,"They have bad food and very rude",RudeService,BadFood
+   *           TRAIN,gs://folder/content.txt,SlowService
+   *           TEST,"Typically always bad service there.",RudeService
+   *           VALIDATE,"Stomach ache to go.",BadFood
+   *  *  For Text Sentiment:
+   *         CSV file(s) with each line in format:
+   *           ML_USE,(TEXT_SNIPPET | GCS_FILE_PATH),SENTIMENT
+   *           TEXT_SNIPPET and GCS_FILE_PATH are distinguished by a pattern. If
+   *           the column content is a valid gcs file path, that is, prefixed by
+   *           "gs://", it is treated as a GCS_FILE_PATH, otherwise it is treated
+   *           as a TEXT_SNIPPET. In the GCS_FILE_PATH case, the path
+   *           must lead to a .txt file with UTF-8 encoding, for example,
+   *           "gs://folder/content.txt", and the content in it is extracted
+   *           as a text snippet. In TEXT_SNIPPET case, the column content itself
+   *           is treated as to be imported text snippet. In both cases, the
+   *           text snippet must be up to 500 characters long.
+   *         Sample rows:
+   *           TRAIN,"@freewrytin this is way too good for your product",2
+   *           TRAIN,"I need this product so bad",3
+   *           TEST,"Thank you for this product.",4
+   *           VALIDATE,gs://folder/content.txt,2
+   *   *  For Tables:
+   *         Either
+   *         [gcs_source][google.cloud.automl.v1beta1.InputConfig.gcs_source] or
+   * [bigquery_source][google.cloud.automl.v1beta1.InputConfig.bigquery_source]
+   *         can be used. All inputs is concatenated into a single
+   * [primary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_name]
+   *         For gcs_source:
+   *           CSV file(s), where the first row of the first file is the header,
+   *           containing unique column names. If the first row of a subsequent
+   *           file is the same as the header, then it is also treated as a
+   *           header. All other rows contain values for the corresponding
+   *           columns.
+   *           Each .CSV file by itself must be 10GB or smaller, and their total
+   *           size must be 100GB or smaller.
+   *           First three sample rows of a CSV file:
+   *           "Id","First Name","Last Name","Dob","Addresses"
+   * "1","John","Doe","1968-01-22","[{"status":"current","address":"123_First_Avenue","city":"Seattle","state":"WA","zip":"11111","numberOfYears":"1"},{"status":"previous","address":"456_Main_Street","city":"Portland","state":"OR","zip":"22222","numberOfYears":"5"}]"
+   * "2","Jane","Doe","1980-10-16","[{"status":"current","address":"789_Any_Avenue","city":"Albany","state":"NY","zip":"33333","numberOfYears":"2"},{"status":"previous","address":"321_Main_Street","city":"Hoboken","state":"NJ","zip":"44444","numberOfYears":"3"}]}
+   *         For bigquery_source:
+   *           An URI of a BigQuery table. The user data size of the BigQuery
+   *           table must be 100GB or smaller.
+   *         An imported table must have between 2 and 1,000 columns, inclusive,
+   *         and between 1000 and 100,000,000 rows, inclusive. There are at most 5
+   *         import data running in parallel.
+   *  Definitions:
+   *  ML_USE = "TRAIN" | "VALIDATE" | "TEST" | "UNASSIGNED"
+   *           Describes how the given example (file) should be used for model
+   *           training. "UNASSIGNED" can be used when user has no preference.
+   *  GCS_FILE_PATH = A path to file on GCS, e.g. "gs://folder/image1.png".
+   *  LABEL = A display name of an object on an image, video etc., e.g. "dog".
+   *          Must be up to 32 characters long and can consist only of ASCII
+   *          Latin letters A-Z and a-z, underscores(_), and ASCII digits 0-9.
+   *          For each label an AnnotationSpec is created which display_name
+   *          becomes the label; AnnotationSpecs are given back in predictions.
+   *  INSTANCE_ID = A positive integer that identifies a specific instance of a
+   *                labeled entity on an example. Used e.g. to track two cars on
+   *                a video while being able to tell apart which one is which.
+   *  BOUNDING_BOX = VERTEX,VERTEX,VERTEX,VERTEX | VERTEX,,,VERTEX,,
+   *                 A rectangle parallel to the frame of the example (image,
+   *                 video). If 4 vertices are given they are connected by edges
+   *                 in the order provided, if 2 are given they are recognized
+   *                 as diagonally opposite vertices of the rectangle.
+   *  VERTEX = COORDINATE,COORDINATE
+   *           First coordinate is horizontal (x), the second is vertical (y).
+   *  COORDINATE = A float in 0 to 1 range, relative to total length of
+   *               image or video in given dimension. For fractions the
+   *               leading non-decimal 0 can be omitted (i.e. 0.3 = .3).
+   *               Point 0,0 is in top left.
+   *  TIME_SEGMENT_START = TIME_OFFSET
+   *                       Expresses a beginning, inclusive, of a time segment
+   *                       within an example that has a time dimension
+   *                       (e.g. video).
+   *  TIME_SEGMENT_END = TIME_OFFSET
+   *                     Expresses an end, exclusive, of a time segment within
+   *                     an example that has a time dimension (e.g. video).
+   *  TIME_OFFSET = A number of seconds as measured from the start of an
+   *                example (e.g. video). Fractions are allowed, up to a
+   *                microsecond precision. "inf" is allowed, and it means the end
+   *                of the example.
+   *  TEXT_SNIPPET = A content of a text snippet, UTF-8 encoded, enclosed within
+   *                 double quotes ("").
+   *  SENTIMENT = An integer between 0 and
+   *              Dataset.text_sentiment_dataset_metadata.sentiment_max
+   *              (inclusive). Describes the ordinal of the sentiment - higher
+   *              value means a more positive sentiment. All the values are
+   *              completely relative, i.e. neither 0 needs to mean a negative or
+   *              neutral sentiment nor sentiment_max needs to mean a positive one
+   *              - it is just required that 0 is the least positive sentiment
+   *              in the data, and sentiment_max is the  most positive one.
+   *              The SENTIMENT shouldn't be confused with "score" or "magnitude"
+   *              from the previous Natural Language Sentiment Analysis API.
+   *              All SENTIMENT values between 0 and sentiment_max must be
+   *              represented in the imported data. On prediction the same 0 to
+   *              sentiment_max range will be used. The difference between
+   *              neighboring sentiment values needs not to be uniform, e.g. 1 and
+   *              2 may be similar whereas the difference between 2 and 3 may be
+   *              huge.
+   *  Errors:
+   *  If any of the provided CSV files can't be parsed or if more than certain
+   *  percent of CSV rows cannot be processed then the operation fails and
+   *  nothing is imported. Regardless of overall success or failure the per-row
+   *  failures, up to a certain count cap, is listed in
+   *  Operation.metadata.partial_failures.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.InputConfig} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.InputConfig) + com.google.cloud.automl.v1beta1.InputConfigOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_InputConfig_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 2: + return internalGetParams(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMutableMapField(int number) { + switch (number) { + case 2: + return internalGetMutableParams(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_InputConfig_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.InputConfig.class, + com.google.cloud.automl.v1beta1.InputConfig.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.InputConfig.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + internalGetMutableParams().clear(); + sourceCase_ = 0; + source_ = null; + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_InputConfig_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.InputConfig getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.InputConfig.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.InputConfig build() { + com.google.cloud.automl.v1beta1.InputConfig result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.InputConfig buildPartial() { + com.google.cloud.automl.v1beta1.InputConfig result = + new com.google.cloud.automl.v1beta1.InputConfig(this); + int from_bitField0_ = bitField0_; + if (sourceCase_ == 1) { + if (gcsSourceBuilder_ == null) { + result.source_ = source_; + } else { + result.source_ = gcsSourceBuilder_.build(); + } + } + if (sourceCase_ == 3) { + if (bigquerySourceBuilder_ == null) { + result.source_ = source_; + } else { + result.source_ = bigquerySourceBuilder_.build(); + } + } + result.params_ = internalGetParams(); + result.params_.makeImmutable(); + result.sourceCase_ = sourceCase_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.InputConfig) { + return mergeFrom((com.google.cloud.automl.v1beta1.InputConfig) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.InputConfig other) { + if (other == com.google.cloud.automl.v1beta1.InputConfig.getDefaultInstance()) return this; + internalGetMutableParams().mergeFrom(other.internalGetParams()); + switch (other.getSourceCase()) { + case GCS_SOURCE: + { + mergeGcsSource(other.getGcsSource()); + break; + } + case BIGQUERY_SOURCE: + { + mergeBigquerySource(other.getBigquerySource()); + break; + } + case SOURCE_NOT_SET: + { + break; + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.InputConfig parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.InputConfig) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int sourceCase_ = 0; + private java.lang.Object source_; + + public SourceCase getSourceCase() { + return SourceCase.forNumber(sourceCase_); + } + + public Builder clearSource() { + sourceCase_ = 0; + source_ = null; + onChanged(); + return this; + } + + private int bitField0_; + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.GcsSource, + com.google.cloud.automl.v1beta1.GcsSource.Builder, + com.google.cloud.automl.v1beta1.GcsSourceOrBuilder> + gcsSourceBuilder_; + /** + * + * + * 
+     * The Google Cloud Storage location for the input content.
+     * In ImportData, the gcs_source points to a csv with structure described in
+     * the comment.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + * + * @return Whether the gcsSource field is set. + */ + public boolean hasGcsSource() { + return sourceCase_ == 1; + } + /** + * + * + * 
+     * The Google Cloud Storage location for the input content.
+     * In ImportData, the gcs_source points to a csv with structure described in
+     * the comment.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + * + * @return The gcsSource. + */ + public com.google.cloud.automl.v1beta1.GcsSource getGcsSource() { + if (gcsSourceBuilder_ == null) { + if (sourceCase_ == 1) { + return (com.google.cloud.automl.v1beta1.GcsSource) source_; + } + return com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance(); + } else { + if (sourceCase_ == 1) { + return gcsSourceBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The Google Cloud Storage location for the input content.
+     * In ImportData, the gcs_source points to a csv with structure described in
+     * the comment.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + */ + public Builder setGcsSource(com.google.cloud.automl.v1beta1.GcsSource value) { + if (gcsSourceBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + source_ = value; + onChanged(); + } else { + gcsSourceBuilder_.setMessage(value); + } + sourceCase_ = 1; + return this; + } + /** + * + * + * 
+     * The Google Cloud Storage location for the input content.
+     * In ImportData, the gcs_source points to a csv with structure described in
+     * the comment.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + */ + public Builder setGcsSource(com.google.cloud.automl.v1beta1.GcsSource.Builder builderForValue) { + if (gcsSourceBuilder_ == null) { + source_ = builderForValue.build(); + onChanged(); + } else { + gcsSourceBuilder_.setMessage(builderForValue.build()); + } + sourceCase_ = 1; + return this; + } + /** + * + * + * 
+     * The Google Cloud Storage location for the input content.
+     * In ImportData, the gcs_source points to a csv with structure described in
+     * the comment.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + */ + public Builder mergeGcsSource(com.google.cloud.automl.v1beta1.GcsSource value) { + if (gcsSourceBuilder_ == null) { + if (sourceCase_ == 1 + && source_ != com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance()) { + source_ = + com.google.cloud.automl.v1beta1.GcsSource.newBuilder( + (com.google.cloud.automl.v1beta1.GcsSource) source_) + .mergeFrom(value) + .buildPartial(); + } else { + source_ = value; + } + onChanged(); + } else { + if (sourceCase_ == 1) { + gcsSourceBuilder_.mergeFrom(value); + } + gcsSourceBuilder_.setMessage(value); + } + sourceCase_ = 1; + return this; + } + /** + * + * + * 
+     * The Google Cloud Storage location for the input content.
+     * In ImportData, the gcs_source points to a csv with structure described in
+     * the comment.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + */ + public Builder clearGcsSource() { + if (gcsSourceBuilder_ == null) { + if (sourceCase_ == 1) { + sourceCase_ = 0; + source_ = null; + onChanged(); + } + } else { + if (sourceCase_ == 1) { + sourceCase_ = 0; + source_ = null; + } + gcsSourceBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * The Google Cloud Storage location for the input content.
+     * In ImportData, the gcs_source points to a csv with structure described in
+     * the comment.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + */ + public com.google.cloud.automl.v1beta1.GcsSource.Builder getGcsSourceBuilder() { + return getGcsSourceFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The Google Cloud Storage location for the input content.
+     * In ImportData, the gcs_source points to a csv with structure described in
+     * the comment.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + */ + public com.google.cloud.automl.v1beta1.GcsSourceOrBuilder getGcsSourceOrBuilder() { + if ((sourceCase_ == 1) && (gcsSourceBuilder_ != null)) { + return gcsSourceBuilder_.getMessageOrBuilder(); + } else { + if (sourceCase_ == 1) { + return (com.google.cloud.automl.v1beta1.GcsSource) source_; + } + return com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The Google Cloud Storage location for the input content.
+     * In ImportData, the gcs_source points to a csv with structure described in
+     * the comment.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.GcsSource, + com.google.cloud.automl.v1beta1.GcsSource.Builder, + com.google.cloud.automl.v1beta1.GcsSourceOrBuilder> + getGcsSourceFieldBuilder() { + if (gcsSourceBuilder_ == null) { + if (!(sourceCase_ == 1)) { + source_ = com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance(); + } + gcsSourceBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.GcsSource, + com.google.cloud.automl.v1beta1.GcsSource.Builder, + com.google.cloud.automl.v1beta1.GcsSourceOrBuilder>( + (com.google.cloud.automl.v1beta1.GcsSource) source_, + getParentForChildren(), + isClean()); + source_ = null; + } + sourceCase_ = 1; + onChanged(); + ; + return gcsSourceBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BigQuerySource, + com.google.cloud.automl.v1beta1.BigQuerySource.Builder, + com.google.cloud.automl.v1beta1.BigQuerySourceOrBuilder> + bigquerySourceBuilder_; + /** + * + * + * 
+     * The BigQuery location for the input content.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3; + * + * @return Whether the bigquerySource field is set. + */ + public boolean hasBigquerySource() { + return sourceCase_ == 3; + } + /** + * + * + * 
+     * The BigQuery location for the input content.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3; + * + * @return The bigquerySource. + */ + public com.google.cloud.automl.v1beta1.BigQuerySource getBigquerySource() { + if (bigquerySourceBuilder_ == null) { + if (sourceCase_ == 3) { + return (com.google.cloud.automl.v1beta1.BigQuerySource) source_; + } + return com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance(); + } else { + if (sourceCase_ == 3) { + return bigquerySourceBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The BigQuery location for the input content.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3; + */ + public Builder setBigquerySource(com.google.cloud.automl.v1beta1.BigQuerySource value) { + if (bigquerySourceBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + source_ = value; + onChanged(); + } else { + bigquerySourceBuilder_.setMessage(value); + } + sourceCase_ = 3; + return this; + } + /** + * + * + * 
+     * The BigQuery location for the input content.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3; + */ + public Builder setBigquerySource( + com.google.cloud.automl.v1beta1.BigQuerySource.Builder builderForValue) { + if (bigquerySourceBuilder_ == null) { + source_ = builderForValue.build(); + onChanged(); + } else { + bigquerySourceBuilder_.setMessage(builderForValue.build()); + } + sourceCase_ = 3; + return this; + } + /** + * + * + * 
+     * The BigQuery location for the input content.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3; + */ + public Builder mergeBigquerySource(com.google.cloud.automl.v1beta1.BigQuerySource value) { + if (bigquerySourceBuilder_ == null) { + if (sourceCase_ == 3 + && source_ != com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance()) { + source_ = + com.google.cloud.automl.v1beta1.BigQuerySource.newBuilder( + (com.google.cloud.automl.v1beta1.BigQuerySource) source_) + .mergeFrom(value) + .buildPartial(); + } else { + source_ = value; + } + onChanged(); + } else { + if (sourceCase_ == 3) { + bigquerySourceBuilder_.mergeFrom(value); + } + bigquerySourceBuilder_.setMessage(value); + } + sourceCase_ = 3; + return this; + } + /** + * + * + * 
+     * The BigQuery location for the input content.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3; + */ + public Builder clearBigquerySource() { + if (bigquerySourceBuilder_ == null) { + if (sourceCase_ == 3) { + sourceCase_ = 0; + source_ = null; + onChanged(); + } + } else { + if (sourceCase_ == 3) { + sourceCase_ = 0; + source_ = null; + } + bigquerySourceBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * The BigQuery location for the input content.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3; + */ + public com.google.cloud.automl.v1beta1.BigQuerySource.Builder getBigquerySourceBuilder() { + return getBigquerySourceFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The BigQuery location for the input content.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3; + */ + public com.google.cloud.automl.v1beta1.BigQuerySourceOrBuilder getBigquerySourceOrBuilder() { + if ((sourceCase_ == 3) && (bigquerySourceBuilder_ != null)) { + return bigquerySourceBuilder_.getMessageOrBuilder(); + } else { + if (sourceCase_ == 3) { + return (com.google.cloud.automl.v1beta1.BigQuerySource) source_; + } + return com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The BigQuery location for the input content.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BigQuerySource, + com.google.cloud.automl.v1beta1.BigQuerySource.Builder, + com.google.cloud.automl.v1beta1.BigQuerySourceOrBuilder> + getBigquerySourceFieldBuilder() { + if (bigquerySourceBuilder_ == null) { + if (!(sourceCase_ == 3)) { + source_ = com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance(); + } + bigquerySourceBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BigQuerySource, + com.google.cloud.automl.v1beta1.BigQuerySource.Builder, + com.google.cloud.automl.v1beta1.BigQuerySourceOrBuilder>( + (com.google.cloud.automl.v1beta1.BigQuerySource) source_, + getParentForChildren(), + isClean()); + source_ = null; + } + sourceCase_ = 3; + onChanged(); + ; + return bigquerySourceBuilder_; + } + + private com.google.protobuf.MapField params_; + + private com.google.protobuf.MapField internalGetParams() { + if (params_ == null) { + return com.google.protobuf.MapField.emptyMapField(ParamsDefaultEntryHolder.defaultEntry); + } + return params_; + } + + private com.google.protobuf.MapField + internalGetMutableParams() { + onChanged(); + ; + if (params_ == null) { + params_ = com.google.protobuf.MapField.newMapField(ParamsDefaultEntryHolder.defaultEntry); + } + if (!params_.isMutable()) { + params_ = params_.copy(); + } + return params_; + } + + public int getParamsCount() { + return internalGetParams().getMap().size(); + } + /** + * + * + * 
+     * Additional domain-specific parameters describing the semantic of the
+     * imported data, any string must be up to 25000
+     * characters long.
+     * *  For Tables:
+     *    `schema_inference_version` - (integer) Required. The version of the
+     *        algorithm that should be used for the initial inference of the
+     *        schema (columns' DataTypes) of the table the data is being imported
+     *        into. Allowed values: "1".
+     *
+ * + * map<string, string> params = 2; + */ + public boolean containsParams(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetParams().getMap().containsKey(key); + } + /** Use {@link #getParamsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map getParams() { + return getParamsMap(); + } + /** + * + * + * 
+     * Additional domain-specific parameters describing the semantic of the
+     * imported data, any string must be up to 25000
+     * characters long.
+     * *  For Tables:
+     *    `schema_inference_version` - (integer) Required. The version of the
+     *        algorithm that should be used for the initial inference of the
+     *        schema (columns' DataTypes) of the table the data is being imported
+     *        into. Allowed values: "1".
+     *
+ * + * map<string, string> params = 2; + */ + public java.util.Map getParamsMap() { + return internalGetParams().getMap(); + } + /** + * + * + * 
+     * Additional domain-specific parameters describing the semantic of the
+     * imported data, any string must be up to 25000
+     * characters long.
+     * *  For Tables:
+     *    `schema_inference_version` - (integer) Required. The version of the
+     *        algorithm that should be used for the initial inference of the
+     *        schema (columns' DataTypes) of the table the data is being imported
+     *        into. Allowed values: "1".
+     *
+ * + * map<string, string> params = 2; + */ + public java.lang.String getParamsOrDefault( + java.lang.String key, java.lang.String defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = internalGetParams().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+     * Additional domain-specific parameters describing the semantic of the
+     * imported data, any string must be up to 25000
+     * characters long.
+     * *  For Tables:
+     *    `schema_inference_version` - (integer) Required. The version of the
+     *        algorithm that should be used for the initial inference of the
+     *        schema (columns' DataTypes) of the table the data is being imported
+     *        into. Allowed values: "1".
+     *
+ * + * map<string, string> params = 2; + */ + public java.lang.String getParamsOrThrow(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = internalGetParams().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + public Builder clearParams() { + internalGetMutableParams().getMutableMap().clear(); + return this; + } + /** + * + * + * 
+     * Additional domain-specific parameters describing the semantic of the
+     * imported data, any string must be up to 25000
+     * characters long.
+     * *  For Tables:
+     *    `schema_inference_version` - (integer) Required. The version of the
+     *        algorithm that should be used for the initial inference of the
+     *        schema (columns' DataTypes) of the table the data is being imported
+     *        into. Allowed values: "1".
+     *
+ * + * map<string, string> params = 2; + */ + public Builder removeParams(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableParams().getMutableMap().remove(key); + return this; + } + /** Use alternate mutation accessors instead. */ + @java.lang.Deprecated + public java.util.Map getMutableParams() { + return internalGetMutableParams().getMutableMap(); + } + /** + * + * + * 
+     * Additional domain-specific parameters describing the semantic of the
+     * imported data, any string must be up to 25000
+     * characters long.
+     * *  For Tables:
+     *    `schema_inference_version` - (integer) Required. The version of the
+     *        algorithm that should be used for the initial inference of the
+     *        schema (columns' DataTypes) of the table the data is being imported
+     *        into. Allowed values: "1".
+     *
+ * + * map<string, string> params = 2; + */ + public Builder putParams(java.lang.String key, java.lang.String value) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + if (value == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableParams().getMutableMap().put(key, value); + return this; + } + /** + * + * + * 
+     * Additional domain-specific parameters describing the semantic of the
+     * imported data, any string must be up to 25000
+     * characters long.
+     * *  For Tables:
+     *    `schema_inference_version` - (integer) Required. The version of the
+     *        algorithm that should be used for the initial inference of the
+     *        schema (columns' DataTypes) of the table the data is being imported
+     *        into. Allowed values: "1".
+     *
+ * + * map<string, string> params = 2; + */ + public Builder putAllParams(java.util.Map values) { + internalGetMutableParams().getMutableMap().putAll(values); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.InputConfig) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.InputConfig) + private static final com.google.cloud.automl.v1beta1.InputConfig DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.InputConfig(); + } + + public static com.google.cloud.automl.v1beta1.InputConfig getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public InputConfig parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new InputConfig(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.InputConfig getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/InputConfigOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/InputConfigOrBuilder.java new file mode 100644 index 000000000..5ee1048e9 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/InputConfigOrBuilder.java @@ -0,0 +1,192 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/io.proto + +package com.google.cloud.automl.v1beta1; + +public interface InputConfigOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.InputConfig) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * The Google Cloud Storage location for the input content.
+   * In ImportData, the gcs_source points to a csv with structure described in
+   * the comment.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + * + * @return Whether the gcsSource field is set. + */ + boolean hasGcsSource(); + /** + * + * + * 
+   * The Google Cloud Storage location for the input content.
+   * In ImportData, the gcs_source points to a csv with structure described in
+   * the comment.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + * + * @return The gcsSource. + */ + com.google.cloud.automl.v1beta1.GcsSource getGcsSource(); + /** + * + * + * 
+   * The Google Cloud Storage location for the input content.
+   * In ImportData, the gcs_source points to a csv with structure described in
+   * the comment.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1; + */ + com.google.cloud.automl.v1beta1.GcsSourceOrBuilder getGcsSourceOrBuilder(); + + /** + * + * + * 
+   * The BigQuery location for the input content.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3; + * + * @return Whether the bigquerySource field is set. + */ + boolean hasBigquerySource(); + /** + * + * + * 
+   * The BigQuery location for the input content.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3; + * + * @return The bigquerySource. + */ + com.google.cloud.automl.v1beta1.BigQuerySource getBigquerySource(); + /** + * + * + * 
+   * The BigQuery location for the input content.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3; + */ + com.google.cloud.automl.v1beta1.BigQuerySourceOrBuilder getBigquerySourceOrBuilder(); + + /** + * + * + * 
+   * Additional domain-specific parameters describing the semantic of the
+   * imported data, any string must be up to 25000
+   * characters long.
+   * *  For Tables:
+   *    `schema_inference_version` - (integer) Required. The version of the
+   *        algorithm that should be used for the initial inference of the
+   *        schema (columns' DataTypes) of the table the data is being imported
+   *        into. Allowed values: "1".
+   *
+ * + * map<string, string> params = 2; + */ + int getParamsCount(); + /** + * + * + * 
+   * Additional domain-specific parameters describing the semantic of the
+   * imported data, any string must be up to 25000
+   * characters long.
+   * *  For Tables:
+   *    `schema_inference_version` - (integer) Required. The version of the
+   *        algorithm that should be used for the initial inference of the
+   *        schema (columns' DataTypes) of the table the data is being imported
+   *        into. Allowed values: "1".
+   *
+ * + * map<string, string> params = 2; + */ + boolean containsParams(java.lang.String key); + /** Use {@link #getParamsMap()} instead. */ + @java.lang.Deprecated + java.util.Map getParams(); + /** + * + * + * 
+   * Additional domain-specific parameters describing the semantic of the
+   * imported data, any string must be up to 25000
+   * characters long.
+   * *  For Tables:
+   *    `schema_inference_version` - (integer) Required. The version of the
+   *        algorithm that should be used for the initial inference of the
+   *        schema (columns' DataTypes) of the table the data is being imported
+   *        into. Allowed values: "1".
+   *
+ * + * map<string, string> params = 2; + */ + java.util.Map getParamsMap(); + /** + * + * + * 
+   * Additional domain-specific parameters describing the semantic of the
+   * imported data, any string must be up to 25000
+   * characters long.
+   * *  For Tables:
+   *    `schema_inference_version` - (integer) Required. The version of the
+   *        algorithm that should be used for the initial inference of the
+   *        schema (columns' DataTypes) of the table the data is being imported
+   *        into. Allowed values: "1".
+   *
+ * + * map<string, string> params = 2; + */ + java.lang.String getParamsOrDefault(java.lang.String key, java.lang.String defaultValue); + /** + * + * + * 
+   * Additional domain-specific parameters describing the semantic of the
+   * imported data, any string must be up to 25000
+   * characters long.
+   * *  For Tables:
+   *    `schema_inference_version` - (integer) Required. The version of the
+   *        algorithm that should be used for the initial inference of the
+   *        schema (columns' DataTypes) of the table the data is being imported
+   *        into. Allowed values: "1".
+   *
+ * + * map<string, string> params = 2; + */ + java.lang.String getParamsOrThrow(java.lang.String key); + + public com.google.cloud.automl.v1beta1.InputConfig.SourceCase getSourceCase(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Io.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Io.java new file mode 100644 index 000000000..46f7c67fe --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Io.java @@ -0,0 +1,267 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/io.proto + +package com.google.cloud.automl.v1beta1; + +public final class Io { + private Io() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_InputConfig_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_InputConfig_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_InputConfig_ParamsEntry_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_InputConfig_ParamsEntry_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_BatchPredictInputConfig_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_BatchPredictInputConfig_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_DocumentInputConfig_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_DocumentInputConfig_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_OutputConfig_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_OutputConfig_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_BatchPredictOutputConfig_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_BatchPredictOutputConfig_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_ParamsEntry_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_ParamsEntry_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOutputConfig_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOutputConfig_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_GcsSource_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_GcsSource_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_BigQuerySource_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_BigQuerySource_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_GcsDestination_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_GcsDestination_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_BigQueryDestination_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_BigQueryDestination_fieldAccessorTable; 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+ descriptor = + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.api.AnnotationsProto.getDescriptor(), + }); + internal_static_google_cloud_automl_v1beta1_InputConfig_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_InputConfig_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_InputConfig_descriptor, + new java.lang.String[] { + "GcsSource", "BigquerySource", "Params", "Source", + }); + internal_static_google_cloud_automl_v1beta1_InputConfig_ParamsEntry_descriptor = + internal_static_google_cloud_automl_v1beta1_InputConfig_descriptor.getNestedTypes().get(0); + internal_static_google_cloud_automl_v1beta1_InputConfig_ParamsEntry_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_InputConfig_ParamsEntry_descriptor, + new java.lang.String[] { + "Key", "Value", + }); 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+ internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_ParamsEntry_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_ParamsEntry_descriptor, + new java.lang.String[] { + "Key", "Value", + }); + internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOutputConfig_descriptor = + getDescriptor().getMessageTypes().get(6); + internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOutputConfig_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOutputConfig_descriptor, + new java.lang.String[] { + "BigqueryDestination", "Destination", + }); + internal_static_google_cloud_automl_v1beta1_GcsSource_descriptor = + getDescriptor().getMessageTypes().get(7); + internal_static_google_cloud_automl_v1beta1_GcsSource_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_GcsSource_descriptor, + new java.lang.String[] { + "InputUris", + }); + internal_static_google_cloud_automl_v1beta1_BigQuerySource_descriptor = + getDescriptor().getMessageTypes().get(8); + internal_static_google_cloud_automl_v1beta1_BigQuerySource_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_BigQuerySource_descriptor, + new java.lang.String[] { + "InputUri", + }); + internal_static_google_cloud_automl_v1beta1_GcsDestination_descriptor = + getDescriptor().getMessageTypes().get(9); + internal_static_google_cloud_automl_v1beta1_GcsDestination_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_GcsDestination_descriptor, + new java.lang.String[] { + "OutputUriPrefix", + }); + internal_static_google_cloud_automl_v1beta1_BigQueryDestination_descriptor = + getDescriptor().getMessageTypes().get(10); + internal_static_google_cloud_automl_v1beta1_BigQueryDestination_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_BigQueryDestination_descriptor, + new java.lang.String[] { + "OutputUri", + }); + internal_static_google_cloud_automl_v1beta1_GcrDestination_descriptor = + getDescriptor().getMessageTypes().get(11); + internal_static_google_cloud_automl_v1beta1_GcrDestination_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_GcrDestination_descriptor, + new java.lang.String[] { + "OutputUri", + }); + com.google.api.AnnotationsProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsRequest.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsRequest.java new file mode 100644 index 000000000..2a470a8a1 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsRequest.java @@ -0,0 +1,1381 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ListColumnSpecsRequest} + */ +public final class ListColumnSpecsRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ListColumnSpecsRequest) + ListColumnSpecsRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use ListColumnSpecsRequest.newBuilder() to construct. + private ListColumnSpecsRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ListColumnSpecsRequest() { + parent_ = ""; + filter_ = ""; + pageToken_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ListColumnSpecsRequest(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ListColumnSpecsRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + parent_ = s; + break; + } + case 18: + { + com.google.protobuf.FieldMask.Builder subBuilder = null; + if (fieldMask_ != null) { + subBuilder = fieldMask_.toBuilder(); + } + fieldMask_ = + input.readMessage(com.google.protobuf.FieldMask.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(fieldMask_); + fieldMask_ = subBuilder.buildPartial(); + } + + break; + } + case 26: + { + java.lang.String s = input.readStringRequireUtf8(); + + filter_ = s; + break; + } + case 32: + { + pageSize_ = input.readInt32(); + break; + } + case 50: + { + java.lang.String s = input.readStringRequireUtf8(); + + pageToken_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListColumnSpecsRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListColumnSpecsRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ListColumnSpecsRequest.class, + com.google.cloud.automl.v1beta1.ListColumnSpecsRequest.Builder.class); + } + + public static final int PARENT_FIELD_NUMBER = 1; + private volatile java.lang.Object parent_; + /** + * + * + * 
+   * Required. The resource name of the table spec to list column specs from.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The parent. + */ + public java.lang.String getParent() { + java.lang.Object ref = parent_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + parent_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. The resource name of the table spec to list column specs from.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for parent. + */ + public com.google.protobuf.ByteString getParentBytes() { + java.lang.Object ref = parent_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + parent_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int FIELD_MASK_FIELD_NUMBER = 2; + private com.google.protobuf.FieldMask fieldMask_; + /** + * + * + * 
+   * Mask specifying which fields to read.
+   *
+ * + * .google.protobuf.FieldMask field_mask = 2; + * + * @return Whether the fieldMask field is set. + */ + public boolean hasFieldMask() { + return fieldMask_ != null; + } + /** + * + * + * 
+   * Mask specifying which fields to read.
+   *
+ * + * .google.protobuf.FieldMask field_mask = 2; + * + * @return The fieldMask. + */ + public com.google.protobuf.FieldMask getFieldMask() { + return fieldMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : fieldMask_; + } + /** + * + * + * 
+   * Mask specifying which fields to read.
+   *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public com.google.protobuf.FieldMaskOrBuilder getFieldMaskOrBuilder() { + return getFieldMask(); + } + + public static final int FILTER_FIELD_NUMBER = 3; + private volatile java.lang.Object filter_; + /** + * + * + * 
+   * Filter expression, see go/filtering.
+   *
+ * + * string filter = 3; + * + * @return The filter. + */ + public java.lang.String getFilter() { + java.lang.Object ref = filter_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + filter_ = s; + return s; + } + } + /** + * + * + * 
+   * Filter expression, see go/filtering.
+   *
+ * + * string filter = 3; + * + * @return The bytes for filter. + */ + public com.google.protobuf.ByteString getFilterBytes() { + java.lang.Object ref = filter_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + filter_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int PAGE_SIZE_FIELD_NUMBER = 4; + private int pageSize_; + /** + * + * + * 
+   * Requested page size. The server can return fewer results than requested.
+   * If unspecified, the server will pick a default size.
+   *
+ * + * int32 page_size = 4; + * + * @return The pageSize. + */ + public int getPageSize() { + return pageSize_; + } + + public static final int PAGE_TOKEN_FIELD_NUMBER = 6; + private volatile java.lang.Object pageToken_; + /** + * + * + * 
+   * A token identifying a page of results for the server to return.
+   * Typically obtained from the
+   * [ListColumnSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListColumnSpecsResponse.next_page_token] field of the previous
+   * [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs] call.
+   *
+ * + * string page_token = 6; + * + * @return The pageToken. + */ + public java.lang.String getPageToken() { + java.lang.Object ref = pageToken_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + pageToken_ = s; + return s; + } + } + /** + * + * + * 
+   * A token identifying a page of results for the server to return.
+   * Typically obtained from the
+   * [ListColumnSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListColumnSpecsResponse.next_page_token] field of the previous
+   * [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs] call.
+   *
+ * + * string page_token = 6; + * + * @return The bytes for pageToken. + */ + public com.google.protobuf.ByteString getPageTokenBytes() { + java.lang.Object ref = pageToken_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + pageToken_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getParentBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, parent_); + } + if (fieldMask_ != null) { + output.writeMessage(2, getFieldMask()); + } + if (!getFilterBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 3, filter_); + } + if (pageSize_ != 0) { + output.writeInt32(4, pageSize_); + } + if (!getPageTokenBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 6, pageToken_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getParentBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, parent_); + } + if (fieldMask_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getFieldMask()); + } + if (!getFilterBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, filter_); + } + if (pageSize_ != 0) { + size += com.google.protobuf.CodedOutputStream.computeInt32Size(4, pageSize_); + } + if (!getPageTokenBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(6, pageToken_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ListColumnSpecsRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ListColumnSpecsRequest other = + (com.google.cloud.automl.v1beta1.ListColumnSpecsRequest) obj; + + if (!getParent().equals(other.getParent())) return false; + if (hasFieldMask() != other.hasFieldMask()) return false; + if (hasFieldMask()) { + if (!getFieldMask().equals(other.getFieldMask())) return false; + } + if (!getFilter().equals(other.getFilter())) return false; + if (getPageSize() != other.getPageSize()) return false; + if (!getPageToken().equals(other.getPageToken())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + PARENT_FIELD_NUMBER; + hash = (53 * hash) + getParent().hashCode(); + if (hasFieldMask()) { + hash = (37 * hash) + FIELD_MASK_FIELD_NUMBER; + hash = (53 * hash) + getFieldMask().hashCode(); + } + hash = (37 * hash) + FILTER_FIELD_NUMBER; + hash = (53 * hash) + getFilter().hashCode(); + hash = (37 * hash) + PAGE_SIZE_FIELD_NUMBER; + hash = (53 * hash) + getPageSize(); + hash = (37 * hash) + PAGE_TOKEN_FIELD_NUMBER; + hash = (53 * hash) + getPageToken().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ListColumnSpecsRequest parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListColumnSpecsRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListColumnSpecsRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListColumnSpecsRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListColumnSpecsRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListColumnSpecsRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListColumnSpecsRequest parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListColumnSpecsRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListColumnSpecsRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListColumnSpecsRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListColumnSpecsRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListColumnSpecsRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ListColumnSpecsRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ListColumnSpecsRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ListColumnSpecsRequest) + com.google.cloud.automl.v1beta1.ListColumnSpecsRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListColumnSpecsRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListColumnSpecsRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ListColumnSpecsRequest.class, + com.google.cloud.automl.v1beta1.ListColumnSpecsRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.ListColumnSpecsRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + parent_ = ""; + + if (fieldMaskBuilder_ == null) { + fieldMask_ = null; + } else { + fieldMask_ = null; + fieldMaskBuilder_ = null; + } + filter_ = ""; + + pageSize_ = 0; + + pageToken_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListColumnSpecsRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListColumnSpecsRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ListColumnSpecsRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListColumnSpecsRequest build() { + com.google.cloud.automl.v1beta1.ListColumnSpecsRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListColumnSpecsRequest buildPartial() { + com.google.cloud.automl.v1beta1.ListColumnSpecsRequest result = + new com.google.cloud.automl.v1beta1.ListColumnSpecsRequest(this); + result.parent_ = parent_; + if (fieldMaskBuilder_ == null) { + result.fieldMask_ = fieldMask_; + } else { + result.fieldMask_ = fieldMaskBuilder_.build(); + } + result.filter_ = filter_; + result.pageSize_ = pageSize_; + result.pageToken_ = pageToken_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ListColumnSpecsRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.ListColumnSpecsRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.ListColumnSpecsRequest other) { + if (other == com.google.cloud.automl.v1beta1.ListColumnSpecsRequest.getDefaultInstance()) + return this; + if (!other.getParent().isEmpty()) { + parent_ = other.parent_; + onChanged(); + } + if (other.hasFieldMask()) { + mergeFieldMask(other.getFieldMask()); + } + if (!other.getFilter().isEmpty()) { + filter_ = other.filter_; + onChanged(); + } + if (other.getPageSize() != 0) { + setPageSize(other.getPageSize()); + } + if (!other.getPageToken().isEmpty()) { + pageToken_ = other.pageToken_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ListColumnSpecsRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ListColumnSpecsRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object parent_ = ""; + /** + * + * + * 
+     * Required. The resource name of the table spec to list column specs from.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The parent. + */ + public java.lang.String getParent() { + java.lang.Object ref = parent_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + parent_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. The resource name of the table spec to list column specs from.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for parent. + */ + public com.google.protobuf.ByteString getParentBytes() { + java.lang.Object ref = parent_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + parent_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. The resource name of the table spec to list column specs from.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The parent to set. + * @return This builder for chaining. + */ + public Builder setParent(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + parent_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The resource name of the table spec to list column specs from.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return This builder for chaining. + */ + public Builder clearParent() { + + parent_ = getDefaultInstance().getParent(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The resource name of the table spec to list column specs from.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The bytes for parent to set. + * @return This builder for chaining. + */ + public Builder setParentBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + parent_ = value; + onChanged(); + return this; + } + + private com.google.protobuf.FieldMask fieldMask_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder> + fieldMaskBuilder_; + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + * + * @return Whether the fieldMask field is set. + */ + public boolean hasFieldMask() { + return fieldMaskBuilder_ != null || fieldMask_ != null; + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + * + * @return The fieldMask. + */ + public com.google.protobuf.FieldMask getFieldMask() { + if (fieldMaskBuilder_ == null) { + return fieldMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : fieldMask_; + } else { + return fieldMaskBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public Builder setFieldMask(com.google.protobuf.FieldMask value) { + if (fieldMaskBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + fieldMask_ = value; + onChanged(); + } else { + fieldMaskBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public Builder setFieldMask(com.google.protobuf.FieldMask.Builder builderForValue) { + if (fieldMaskBuilder_ == null) { + fieldMask_ = builderForValue.build(); + onChanged(); + } else { + fieldMaskBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public Builder mergeFieldMask(com.google.protobuf.FieldMask value) { + if (fieldMaskBuilder_ == null) { + if (fieldMask_ != null) { + fieldMask_ = + com.google.protobuf.FieldMask.newBuilder(fieldMask_).mergeFrom(value).buildPartial(); + } else { + fieldMask_ = value; + } + onChanged(); + } else { + fieldMaskBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public Builder clearFieldMask() { + if (fieldMaskBuilder_ == null) { + fieldMask_ = null; + onChanged(); + } else { + fieldMask_ = null; + fieldMaskBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public com.google.protobuf.FieldMask.Builder getFieldMaskBuilder() { + + onChanged(); + return getFieldMaskFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public com.google.protobuf.FieldMaskOrBuilder getFieldMaskOrBuilder() { + if (fieldMaskBuilder_ != null) { + return fieldMaskBuilder_.getMessageOrBuilder(); + } else { + return fieldMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : fieldMask_; + } + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder> + getFieldMaskFieldBuilder() { + if (fieldMaskBuilder_ == null) { + fieldMaskBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder>( + getFieldMask(), getParentForChildren(), isClean()); + fieldMask_ = null; + } + return fieldMaskBuilder_; + } + + private java.lang.Object filter_ = ""; + /** + * + * + * 
+     * Filter expression, see go/filtering.
+     *
+ * + * string filter = 3; + * + * @return The filter. + */ + public java.lang.String getFilter() { + java.lang.Object ref = filter_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + filter_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Filter expression, see go/filtering.
+     *
+ * + * string filter = 3; + * + * @return The bytes for filter. + */ + public com.google.protobuf.ByteString getFilterBytes() { + java.lang.Object ref = filter_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + filter_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Filter expression, see go/filtering.
+     *
+ * + * string filter = 3; + * + * @param value The filter to set. + * @return This builder for chaining. + */ + public Builder setFilter(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + filter_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Filter expression, see go/filtering.
+     *
+ * + * string filter = 3; + * + * @return This builder for chaining. + */ + public Builder clearFilter() { + + filter_ = getDefaultInstance().getFilter(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Filter expression, see go/filtering.
+     *
+ * + * string filter = 3; + * + * @param value The bytes for filter to set. + * @return This builder for chaining. + */ + public Builder setFilterBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + filter_ = value; + onChanged(); + return this; + } + + private int pageSize_; + /** + * + * + * 
+     * Requested page size. The server can return fewer results than requested.
+     * If unspecified, the server will pick a default size.
+     *
+ * + * int32 page_size = 4; + * + * @return The pageSize. + */ + public int getPageSize() { + return pageSize_; + } + /** + * + * + * 
+     * Requested page size. The server can return fewer results than requested.
+     * If unspecified, the server will pick a default size.
+     *
+ * + * int32 page_size = 4; + * + * @param value The pageSize to set. + * @return This builder for chaining. + */ + public Builder setPageSize(int value) { + + pageSize_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Requested page size. The server can return fewer results than requested.
+     * If unspecified, the server will pick a default size.
+     *
+ * + * int32 page_size = 4; + * + * @return This builder for chaining. + */ + public Builder clearPageSize() { + + pageSize_ = 0; + onChanged(); + return this; + } + + private java.lang.Object pageToken_ = ""; + /** + * + * + * 
+     * A token identifying a page of results for the server to return.
+     * Typically obtained from the
+     * [ListColumnSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListColumnSpecsResponse.next_page_token] field of the previous
+     * [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs] call.
+     *
+ * + * string page_token = 6; + * + * @return The pageToken. + */ + public java.lang.String getPageToken() { + java.lang.Object ref = pageToken_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + pageToken_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * A token identifying a page of results for the server to return.
+     * Typically obtained from the
+     * [ListColumnSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListColumnSpecsResponse.next_page_token] field of the previous
+     * [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs] call.
+     *
+ * + * string page_token = 6; + * + * @return The bytes for pageToken. + */ + public com.google.protobuf.ByteString getPageTokenBytes() { + java.lang.Object ref = pageToken_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + pageToken_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * A token identifying a page of results for the server to return.
+     * Typically obtained from the
+     * [ListColumnSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListColumnSpecsResponse.next_page_token] field of the previous
+     * [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs] call.
+     *
+ * + * string page_token = 6; + * + * @param value The pageToken to set. + * @return This builder for chaining. + */ + public Builder setPageToken(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + pageToken_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * A token identifying a page of results for the server to return.
+     * Typically obtained from the
+     * [ListColumnSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListColumnSpecsResponse.next_page_token] field of the previous
+     * [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs] call.
+     *
+ * + * string page_token = 6; + * + * @return This builder for chaining. + */ + public Builder clearPageToken() { + + pageToken_ = getDefaultInstance().getPageToken(); + onChanged(); + return this; + } + /** + * + * + * 
+     * A token identifying a page of results for the server to return.
+     * Typically obtained from the
+     * [ListColumnSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListColumnSpecsResponse.next_page_token] field of the previous
+     * [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs] call.
+     *
+ * + * string page_token = 6; + * + * @param value The bytes for pageToken to set. + * @return This builder for chaining. + */ + public Builder setPageTokenBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + pageToken_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ListColumnSpecsRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ListColumnSpecsRequest) + private static final com.google.cloud.automl.v1beta1.ListColumnSpecsRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ListColumnSpecsRequest(); + } + + public static com.google.cloud.automl.v1beta1.ListColumnSpecsRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ListColumnSpecsRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ListColumnSpecsRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListColumnSpecsRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsRequestOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsRequestOrBuilder.java new file mode 100644 index 000000000..b8510abc7 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsRequestOrBuilder.java @@ -0,0 +1,159 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface ListColumnSpecsRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ListColumnSpecsRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. The resource name of the table spec to list column specs from.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The parent. + */ + java.lang.String getParent(); + /** + * + * + * 
+   * Required. The resource name of the table spec to list column specs from.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for parent. + */ + com.google.protobuf.ByteString getParentBytes(); + + /** + * + * + * 
+   * Mask specifying which fields to read.
+   *
+ * + * .google.protobuf.FieldMask field_mask = 2; + * + * @return Whether the fieldMask field is set. + */ + boolean hasFieldMask(); + /** + * + * + * 
+   * Mask specifying which fields to read.
+   *
+ * + * .google.protobuf.FieldMask field_mask = 2; + * + * @return The fieldMask. + */ + com.google.protobuf.FieldMask getFieldMask(); + /** + * + * + * 
+   * Mask specifying which fields to read.
+   *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + com.google.protobuf.FieldMaskOrBuilder getFieldMaskOrBuilder(); + + /** + * + * + * 
+   * Filter expression, see go/filtering.
+   *
+ * + * string filter = 3; + * + * @return The filter. + */ + java.lang.String getFilter(); + /** + * + * + * 
+   * Filter expression, see go/filtering.
+   *
+ * + * string filter = 3; + * + * @return The bytes for filter. + */ + com.google.protobuf.ByteString getFilterBytes(); + + /** + * + * + * 
+   * Requested page size. The server can return fewer results than requested.
+   * If unspecified, the server will pick a default size.
+   *
+ * + * int32 page_size = 4; + * + * @return The pageSize. + */ + int getPageSize(); + + /** + * + * + * 
+   * A token identifying a page of results for the server to return.
+   * Typically obtained from the
+   * [ListColumnSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListColumnSpecsResponse.next_page_token] field of the previous
+   * [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs] call.
+   *
+ * + * string page_token = 6; + * + * @return The pageToken. + */ + java.lang.String getPageToken(); + /** + * + * + * 
+   * A token identifying a page of results for the server to return.
+   * Typically obtained from the
+   * [ListColumnSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListColumnSpecsResponse.next_page_token] field of the previous
+   * [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs] call.
+   *
+ * + * string page_token = 6; + * + * @return The bytes for pageToken. + */ + com.google.protobuf.ByteString getPageTokenBytes(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsResponse.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsResponse.java new file mode 100644 index 000000000..be99ecce0 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsResponse.java @@ -0,0 +1,1132 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Response message for [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ListColumnSpecsResponse} + */ +public final class ListColumnSpecsResponse extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ListColumnSpecsResponse) + ListColumnSpecsResponseOrBuilder { + private static final long serialVersionUID = 0L; + // Use ListColumnSpecsResponse.newBuilder() to construct. + private ListColumnSpecsResponse(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ListColumnSpecsResponse() { + columnSpecs_ = java.util.Collections.emptyList(); + nextPageToken_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ListColumnSpecsResponse(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ListColumnSpecsResponse( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + columnSpecs_ = + new java.util.ArrayList(); + mutable_bitField0_ |= 0x00000001; + } + columnSpecs_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.ColumnSpec.parser(), extensionRegistry)); + break; + } + case 18: + { + java.lang.String s = input.readStringRequireUtf8(); + + nextPageToken_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + columnSpecs_ = java.util.Collections.unmodifiableList(columnSpecs_); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListColumnSpecsResponse_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListColumnSpecsResponse_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ListColumnSpecsResponse.class, + com.google.cloud.automl.v1beta1.ListColumnSpecsResponse.Builder.class); + } + + public static final int COLUMN_SPECS_FIELD_NUMBER = 1; + private java.util.List columnSpecs_; + /** + * + * + * 
+   * The column specs read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + public java.util.List getColumnSpecsList() { + return columnSpecs_; + } + /** + * + * + * 
+   * The column specs read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + public java.util.List + getColumnSpecsOrBuilderList() { + return columnSpecs_; + } + /** + * + * + * 
+   * The column specs read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + public int getColumnSpecsCount() { + return columnSpecs_.size(); + } + /** + * + * + * 
+   * The column specs read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + public com.google.cloud.automl.v1beta1.ColumnSpec getColumnSpecs(int index) { + return columnSpecs_.get(index); + } + /** + * + * + * 
+   * The column specs read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + public com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder getColumnSpecsOrBuilder(int index) { + return columnSpecs_.get(index); + } + + public static final int NEXT_PAGE_TOKEN_FIELD_NUMBER = 2; + private volatile java.lang.Object nextPageToken_; + /** + * + * + * 
+   * A token to retrieve next page of results.
+   * Pass to [ListColumnSpecsRequest.page_token][google.cloud.automl.v1beta1.ListColumnSpecsRequest.page_token] to obtain that page.
+   *
+ * + * string next_page_token = 2; + * + * @return The nextPageToken. + */ + public java.lang.String getNextPageToken() { + java.lang.Object ref = nextPageToken_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + nextPageToken_ = s; + return s; + } + } + /** + * + * + * 
+   * A token to retrieve next page of results.
+   * Pass to [ListColumnSpecsRequest.page_token][google.cloud.automl.v1beta1.ListColumnSpecsRequest.page_token] to obtain that page.
+   *
+ * + * string next_page_token = 2; + * + * @return The bytes for nextPageToken. + */ + public com.google.protobuf.ByteString getNextPageTokenBytes() { + java.lang.Object ref = nextPageToken_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + nextPageToken_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + for (int i = 0; i < columnSpecs_.size(); i++) { + output.writeMessage(1, columnSpecs_.get(i)); + } + if (!getNextPageTokenBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 2, nextPageToken_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + for (int i = 0; i < columnSpecs_.size(); i++) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, columnSpecs_.get(i)); + } + if (!getNextPageTokenBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, nextPageToken_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ListColumnSpecsResponse)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ListColumnSpecsResponse other = + (com.google.cloud.automl.v1beta1.ListColumnSpecsResponse) obj; + + if (!getColumnSpecsList().equals(other.getColumnSpecsList())) return false; + if (!getNextPageToken().equals(other.getNextPageToken())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (getColumnSpecsCount() > 0) { + hash = (37 * hash) + COLUMN_SPECS_FIELD_NUMBER; + hash = (53 * hash) + getColumnSpecsList().hashCode(); + } + hash = (37 * hash) + NEXT_PAGE_TOKEN_FIELD_NUMBER; + hash = (53 * hash) + getNextPageToken().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ListColumnSpecsResponse parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListColumnSpecsResponse parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListColumnSpecsResponse parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListColumnSpecsResponse parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListColumnSpecsResponse parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListColumnSpecsResponse parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListColumnSpecsResponse parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListColumnSpecsResponse parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListColumnSpecsResponse parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListColumnSpecsResponse parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListColumnSpecsResponse parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListColumnSpecsResponse parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ListColumnSpecsResponse prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Response message for [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ListColumnSpecsResponse} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ListColumnSpecsResponse) + com.google.cloud.automl.v1beta1.ListColumnSpecsResponseOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListColumnSpecsResponse_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListColumnSpecsResponse_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ListColumnSpecsResponse.class, + com.google.cloud.automl.v1beta1.ListColumnSpecsResponse.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.ListColumnSpecsResponse.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getColumnSpecsFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (columnSpecsBuilder_ == null) { + columnSpecs_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + } else { + columnSpecsBuilder_.clear(); + } + nextPageToken_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListColumnSpecsResponse_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListColumnSpecsResponse getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ListColumnSpecsResponse.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListColumnSpecsResponse build() { + com.google.cloud.automl.v1beta1.ListColumnSpecsResponse result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListColumnSpecsResponse buildPartial() { + com.google.cloud.automl.v1beta1.ListColumnSpecsResponse result = + new com.google.cloud.automl.v1beta1.ListColumnSpecsResponse(this); + int from_bitField0_ = bitField0_; + if (columnSpecsBuilder_ == null) { + if (((bitField0_ & 0x00000001) != 0)) { + columnSpecs_ = java.util.Collections.unmodifiableList(columnSpecs_); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.columnSpecs_ = columnSpecs_; + } else { + result.columnSpecs_ = columnSpecsBuilder_.build(); + } + result.nextPageToken_ = nextPageToken_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ListColumnSpecsResponse) { + return mergeFrom((com.google.cloud.automl.v1beta1.ListColumnSpecsResponse) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.ListColumnSpecsResponse other) { + if (other == com.google.cloud.automl.v1beta1.ListColumnSpecsResponse.getDefaultInstance()) + return this; + if (columnSpecsBuilder_ == null) { + if (!other.columnSpecs_.isEmpty()) { + if (columnSpecs_.isEmpty()) { + columnSpecs_ = other.columnSpecs_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensureColumnSpecsIsMutable(); + columnSpecs_.addAll(other.columnSpecs_); + } + onChanged(); + } + } else { + if (!other.columnSpecs_.isEmpty()) { + if (columnSpecsBuilder_.isEmpty()) { + columnSpecsBuilder_.dispose(); + columnSpecsBuilder_ = null; + columnSpecs_ = other.columnSpecs_; + bitField0_ = (bitField0_ & ~0x00000001); + columnSpecsBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getColumnSpecsFieldBuilder() + : null; + } else { + columnSpecsBuilder_.addAllMessages(other.columnSpecs_); + } + } + } + if (!other.getNextPageToken().isEmpty()) { + nextPageToken_ = other.nextPageToken_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ListColumnSpecsResponse parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ListColumnSpecsResponse) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private java.util.List columnSpecs_ = + java.util.Collections.emptyList(); + + private void ensureColumnSpecsIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + columnSpecs_ = + new java.util.ArrayList(columnSpecs_); + bitField0_ |= 0x00000001; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.ColumnSpec, + com.google.cloud.automl.v1beta1.ColumnSpec.Builder, + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder> + columnSpecsBuilder_; + + /** + * + * + * 
+     * The column specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + public java.util.List getColumnSpecsList() { + if (columnSpecsBuilder_ == null) { + return java.util.Collections.unmodifiableList(columnSpecs_); + } else { + return columnSpecsBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * The column specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + public int getColumnSpecsCount() { + if (columnSpecsBuilder_ == null) { + return columnSpecs_.size(); + } else { + return columnSpecsBuilder_.getCount(); + } + } + /** + * + * + * 
+     * The column specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + public com.google.cloud.automl.v1beta1.ColumnSpec getColumnSpecs(int index) { + if (columnSpecsBuilder_ == null) { + return columnSpecs_.get(index); + } else { + return columnSpecsBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * The column specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + public Builder setColumnSpecs(int index, com.google.cloud.automl.v1beta1.ColumnSpec value) { + if (columnSpecsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureColumnSpecsIsMutable(); + columnSpecs_.set(index, value); + onChanged(); + } else { + columnSpecsBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * The column specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + public Builder setColumnSpecs( + int index, com.google.cloud.automl.v1beta1.ColumnSpec.Builder builderForValue) { + if (columnSpecsBuilder_ == null) { + ensureColumnSpecsIsMutable(); + columnSpecs_.set(index, builderForValue.build()); + onChanged(); + } else { + columnSpecsBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * The column specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + public Builder addColumnSpecs(com.google.cloud.automl.v1beta1.ColumnSpec value) { + if (columnSpecsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureColumnSpecsIsMutable(); + columnSpecs_.add(value); + onChanged(); + } else { + columnSpecsBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * The column specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + public Builder addColumnSpecs(int index, com.google.cloud.automl.v1beta1.ColumnSpec value) { + if (columnSpecsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureColumnSpecsIsMutable(); + columnSpecs_.add(index, value); + onChanged(); + } else { + columnSpecsBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * The column specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + public Builder addColumnSpecs( + com.google.cloud.automl.v1beta1.ColumnSpec.Builder builderForValue) { + if (columnSpecsBuilder_ == null) { + ensureColumnSpecsIsMutable(); + columnSpecs_.add(builderForValue.build()); + onChanged(); + } else { + columnSpecsBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * The column specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + public Builder addColumnSpecs( + int index, com.google.cloud.automl.v1beta1.ColumnSpec.Builder builderForValue) { + if (columnSpecsBuilder_ == null) { + ensureColumnSpecsIsMutable(); + columnSpecs_.add(index, builderForValue.build()); + onChanged(); + } else { + columnSpecsBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * The column specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + public Builder addAllColumnSpecs( + java.lang.Iterable values) { + if (columnSpecsBuilder_ == null) { + ensureColumnSpecsIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, columnSpecs_); + onChanged(); + } else { + columnSpecsBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * The column specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + public Builder clearColumnSpecs() { + if (columnSpecsBuilder_ == null) { + columnSpecs_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + } else { + columnSpecsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * The column specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + public Builder removeColumnSpecs(int index) { + if (columnSpecsBuilder_ == null) { + ensureColumnSpecsIsMutable(); + columnSpecs_.remove(index); + onChanged(); + } else { + columnSpecsBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * The column specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + public com.google.cloud.automl.v1beta1.ColumnSpec.Builder getColumnSpecsBuilder(int index) { + return getColumnSpecsFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * The column specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + public com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder getColumnSpecsOrBuilder(int index) { + if (columnSpecsBuilder_ == null) { + return columnSpecs_.get(index); + } else { + return columnSpecsBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * The column specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + public java.util.List + getColumnSpecsOrBuilderList() { + if (columnSpecsBuilder_ != null) { + return columnSpecsBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(columnSpecs_); + } + } + /** + * + * + * 
+     * The column specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + public com.google.cloud.automl.v1beta1.ColumnSpec.Builder addColumnSpecsBuilder() { + return getColumnSpecsFieldBuilder() + .addBuilder(com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance()); + } + /** + * + * + * 
+     * The column specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + public com.google.cloud.automl.v1beta1.ColumnSpec.Builder addColumnSpecsBuilder(int index) { + return getColumnSpecsFieldBuilder() + .addBuilder(index, com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance()); + } + /** + * + * + * 
+     * The column specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + public java.util.List + getColumnSpecsBuilderList() { + return getColumnSpecsFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.ColumnSpec, + com.google.cloud.automl.v1beta1.ColumnSpec.Builder, + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder> + getColumnSpecsFieldBuilder() { + if (columnSpecsBuilder_ == null) { + columnSpecsBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.ColumnSpec, + com.google.cloud.automl.v1beta1.ColumnSpec.Builder, + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder>( + columnSpecs_, ((bitField0_ & 0x00000001) != 0), getParentForChildren(), isClean()); + columnSpecs_ = null; + } + return columnSpecsBuilder_; + } + + private java.lang.Object nextPageToken_ = ""; + /** + * + * + * 
+     * A token to retrieve next page of results.
+     * Pass to [ListColumnSpecsRequest.page_token][google.cloud.automl.v1beta1.ListColumnSpecsRequest.page_token] to obtain that page.
+     *
+ * + * string next_page_token = 2; + * + * @return The nextPageToken. + */ + public java.lang.String getNextPageToken() { + java.lang.Object ref = nextPageToken_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + nextPageToken_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * A token to retrieve next page of results.
+     * Pass to [ListColumnSpecsRequest.page_token][google.cloud.automl.v1beta1.ListColumnSpecsRequest.page_token] to obtain that page.
+     *
+ * + * string next_page_token = 2; + * + * @return The bytes for nextPageToken. + */ + public com.google.protobuf.ByteString getNextPageTokenBytes() { + java.lang.Object ref = nextPageToken_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + nextPageToken_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * A token to retrieve next page of results.
+     * Pass to [ListColumnSpecsRequest.page_token][google.cloud.automl.v1beta1.ListColumnSpecsRequest.page_token] to obtain that page.
+     *
+ * + * string next_page_token = 2; + * + * @param value The nextPageToken to set. + * @return This builder for chaining. + */ + public Builder setNextPageToken(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + nextPageToken_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * A token to retrieve next page of results.
+     * Pass to [ListColumnSpecsRequest.page_token][google.cloud.automl.v1beta1.ListColumnSpecsRequest.page_token] to obtain that page.
+     *
+ * + * string next_page_token = 2; + * + * @return This builder for chaining. + */ + public Builder clearNextPageToken() { + + nextPageToken_ = getDefaultInstance().getNextPageToken(); + onChanged(); + return this; + } + /** + * + * + * 
+     * A token to retrieve next page of results.
+     * Pass to [ListColumnSpecsRequest.page_token][google.cloud.automl.v1beta1.ListColumnSpecsRequest.page_token] to obtain that page.
+     *
+ * + * string next_page_token = 2; + * + * @param value The bytes for nextPageToken to set. + * @return This builder for chaining. + */ + public Builder setNextPageTokenBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + nextPageToken_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ListColumnSpecsResponse) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ListColumnSpecsResponse) + private static final com.google.cloud.automl.v1beta1.ListColumnSpecsResponse DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ListColumnSpecsResponse(); + } + + public static com.google.cloud.automl.v1beta1.ListColumnSpecsResponse getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ListColumnSpecsResponse parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ListColumnSpecsResponse(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListColumnSpecsResponse getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsResponseOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsResponseOrBuilder.java new file mode 100644 index 000000000..fb3efe275 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsResponseOrBuilder.java @@ -0,0 +1,104 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface ListColumnSpecsResponseOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ListColumnSpecsResponse) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * The column specs read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + java.util.List getColumnSpecsList(); + /** + * + * + * 
+   * The column specs read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + com.google.cloud.automl.v1beta1.ColumnSpec getColumnSpecs(int index); + /** + * + * + * 
+   * The column specs read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + int getColumnSpecsCount(); + /** + * + * + * 
+   * The column specs read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + java.util.List + getColumnSpecsOrBuilderList(); + /** + * + * + * 
+   * The column specs read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1; + */ + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder getColumnSpecsOrBuilder(int index); + + /** + * + * + * 
+   * A token to retrieve next page of results.
+   * Pass to [ListColumnSpecsRequest.page_token][google.cloud.automl.v1beta1.ListColumnSpecsRequest.page_token] to obtain that page.
+   *
+ * + * string next_page_token = 2; + * + * @return The nextPageToken. + */ + java.lang.String getNextPageToken(); + /** + * + * + * 
+   * A token to retrieve next page of results.
+   * Pass to [ListColumnSpecsRequest.page_token][google.cloud.automl.v1beta1.ListColumnSpecsRequest.page_token] to obtain that page.
+   *
+ * + * string next_page_token = 2; + * + * @return The bytes for nextPageToken. + */ + com.google.protobuf.ByteString getNextPageTokenBytes(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsRequest.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsRequest.java new file mode 100644 index 000000000..c2ac6238b --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsRequest.java @@ -0,0 +1,1143 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ListDatasetsRequest} + */ +public final class ListDatasetsRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ListDatasetsRequest) + ListDatasetsRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use ListDatasetsRequest.newBuilder() to construct. + private ListDatasetsRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ListDatasetsRequest() { + parent_ = ""; + filter_ = ""; + pageToken_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ListDatasetsRequest(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ListDatasetsRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + parent_ = s; + break; + } + case 26: + { + java.lang.String s = input.readStringRequireUtf8(); + + filter_ = s; + break; + } + case 32: + { + pageSize_ = input.readInt32(); + break; + } + case 50: + { + java.lang.String s = input.readStringRequireUtf8(); + + pageToken_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListDatasetsRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListDatasetsRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ListDatasetsRequest.class, + com.google.cloud.automl.v1beta1.ListDatasetsRequest.Builder.class); + } + + public static final int PARENT_FIELD_NUMBER = 1; + private volatile java.lang.Object parent_; + /** + * + * + * 
+   * Required. The resource name of the project from which to list datasets.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The parent. + */ + public java.lang.String getParent() { + java.lang.Object ref = parent_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + parent_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. The resource name of the project from which to list datasets.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for parent. + */ + public com.google.protobuf.ByteString getParentBytes() { + java.lang.Object ref = parent_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + parent_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int FILTER_FIELD_NUMBER = 3; + private volatile java.lang.Object filter_; + /** + * + * + * 
+   * An expression for filtering the results of the request.
+   *   * `dataset_metadata` - for existence of the case (e.g.
+   *             image_classification_dataset_metadata:*). Some examples of using the filter are:
+   *   * `translation_dataset_metadata:*` --> The dataset has
+   *                                          translation_dataset_metadata.
+   *
+ * + * string filter = 3; + * + * @return The filter. + */ + public java.lang.String getFilter() { + java.lang.Object ref = filter_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + filter_ = s; + return s; + } + } + /** + * + * + * 
+   * An expression for filtering the results of the request.
+   *   * `dataset_metadata` - for existence of the case (e.g.
+   *             image_classification_dataset_metadata:*). Some examples of using the filter are:
+   *   * `translation_dataset_metadata:*` --> The dataset has
+   *                                          translation_dataset_metadata.
+   *
+ * + * string filter = 3; + * + * @return The bytes for filter. + */ + public com.google.protobuf.ByteString getFilterBytes() { + java.lang.Object ref = filter_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + filter_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int PAGE_SIZE_FIELD_NUMBER = 4; + private int pageSize_; + /** + * + * + * 
+   * Requested page size. Server may return fewer results than requested.
+   * If unspecified, server will pick a default size.
+   *
+ * + * int32 page_size = 4; + * + * @return The pageSize. + */ + public int getPageSize() { + return pageSize_; + } + + public static final int PAGE_TOKEN_FIELD_NUMBER = 6; + private volatile java.lang.Object pageToken_; + /** + * + * + * 
+   * A token identifying a page of results for the server to return
+   * Typically obtained via
+   * [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token] of the previous
+   * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets] call.
+   *
+ * + * string page_token = 6; + * + * @return The pageToken. + */ + public java.lang.String getPageToken() { + java.lang.Object ref = pageToken_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + pageToken_ = s; + return s; + } + } + /** + * + * + * 
+   * A token identifying a page of results for the server to return
+   * Typically obtained via
+   * [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token] of the previous
+   * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets] call.
+   *
+ * + * string page_token = 6; + * + * @return The bytes for pageToken. + */ + public com.google.protobuf.ByteString getPageTokenBytes() { + java.lang.Object ref = pageToken_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + pageToken_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getParentBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, parent_); + } + if (!getFilterBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 3, filter_); + } + if (pageSize_ != 0) { + output.writeInt32(4, pageSize_); + } + if (!getPageTokenBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 6, pageToken_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getParentBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, parent_); + } + if (!getFilterBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, filter_); + } + if (pageSize_ != 0) { + size += com.google.protobuf.CodedOutputStream.computeInt32Size(4, pageSize_); + } + if (!getPageTokenBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(6, pageToken_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ListDatasetsRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ListDatasetsRequest other = + (com.google.cloud.automl.v1beta1.ListDatasetsRequest) obj; + + if (!getParent().equals(other.getParent())) return false; + if (!getFilter().equals(other.getFilter())) return false; + if (getPageSize() != other.getPageSize()) return false; + if (!getPageToken().equals(other.getPageToken())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + PARENT_FIELD_NUMBER; + hash = (53 * hash) + getParent().hashCode(); + hash = (37 * hash) + FILTER_FIELD_NUMBER; + hash = (53 * hash) + getFilter().hashCode(); + hash = (37 * hash) + PAGE_SIZE_FIELD_NUMBER; + hash = (53 * hash) + getPageSize(); + hash = (37 * hash) + PAGE_TOKEN_FIELD_NUMBER; + hash = (53 * hash) + getPageToken().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ListDatasetsRequest parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListDatasetsRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListDatasetsRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListDatasetsRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListDatasetsRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListDatasetsRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListDatasetsRequest parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListDatasetsRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListDatasetsRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListDatasetsRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListDatasetsRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListDatasetsRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.ListDatasetsRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ListDatasetsRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ListDatasetsRequest) + com.google.cloud.automl.v1beta1.ListDatasetsRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListDatasetsRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListDatasetsRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ListDatasetsRequest.class, + com.google.cloud.automl.v1beta1.ListDatasetsRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.ListDatasetsRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + parent_ = ""; + + filter_ = ""; + + pageSize_ = 0; + + pageToken_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListDatasetsRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListDatasetsRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ListDatasetsRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListDatasetsRequest build() { + com.google.cloud.automl.v1beta1.ListDatasetsRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListDatasetsRequest buildPartial() { + com.google.cloud.automl.v1beta1.ListDatasetsRequest result = + new com.google.cloud.automl.v1beta1.ListDatasetsRequest(this); + result.parent_ = parent_; + result.filter_ = filter_; + result.pageSize_ = pageSize_; + result.pageToken_ = pageToken_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ListDatasetsRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.ListDatasetsRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.ListDatasetsRequest other) { + if (other == com.google.cloud.automl.v1beta1.ListDatasetsRequest.getDefaultInstance()) + return this; + if (!other.getParent().isEmpty()) { + parent_ = other.parent_; + onChanged(); + } + if (!other.getFilter().isEmpty()) { + filter_ = other.filter_; + onChanged(); + } + if (other.getPageSize() != 0) { + setPageSize(other.getPageSize()); + } + if (!other.getPageToken().isEmpty()) { + pageToken_ = other.pageToken_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ListDatasetsRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ListDatasetsRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object parent_ = ""; + /** + * + * + * 
+     * Required. The resource name of the project from which to list datasets.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The parent. + */ + public java.lang.String getParent() { + java.lang.Object ref = parent_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + parent_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. The resource name of the project from which to list datasets.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for parent. + */ + public com.google.protobuf.ByteString getParentBytes() { + java.lang.Object ref = parent_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + parent_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. The resource name of the project from which to list datasets.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The parent to set. + * @return This builder for chaining. + */ + public Builder setParent(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + parent_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The resource name of the project from which to list datasets.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return This builder for chaining. + */ + public Builder clearParent() { + + parent_ = getDefaultInstance().getParent(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The resource name of the project from which to list datasets.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The bytes for parent to set. + * @return This builder for chaining. + */ + public Builder setParentBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + parent_ = value; + onChanged(); + return this; + } + + private java.lang.Object filter_ = ""; + /** + * + * + * 
+     * An expression for filtering the results of the request.
+     *   * `dataset_metadata` - for existence of the case (e.g.
+     *             image_classification_dataset_metadata:*). Some examples of using the filter are:
+     *   * `translation_dataset_metadata:*` --> The dataset has
+     *                                          translation_dataset_metadata.
+     *
+ * + * string filter = 3; + * + * @return The filter. + */ + public java.lang.String getFilter() { + java.lang.Object ref = filter_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + filter_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * An expression for filtering the results of the request.
+     *   * `dataset_metadata` - for existence of the case (e.g.
+     *             image_classification_dataset_metadata:*). Some examples of using the filter are:
+     *   * `translation_dataset_metadata:*` --> The dataset has
+     *                                          translation_dataset_metadata.
+     *
+ * + * string filter = 3; + * + * @return The bytes for filter. + */ + public com.google.protobuf.ByteString getFilterBytes() { + java.lang.Object ref = filter_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + filter_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * An expression for filtering the results of the request.
+     *   * `dataset_metadata` - for existence of the case (e.g.
+     *             image_classification_dataset_metadata:*). Some examples of using the filter are:
+     *   * `translation_dataset_metadata:*` --> The dataset has
+     *                                          translation_dataset_metadata.
+     *
+ * + * string filter = 3; + * + * @param value The filter to set. + * @return This builder for chaining. + */ + public Builder setFilter(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + filter_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * An expression for filtering the results of the request.
+     *   * `dataset_metadata` - for existence of the case (e.g.
+     *             image_classification_dataset_metadata:*). Some examples of using the filter are:
+     *   * `translation_dataset_metadata:*` --> The dataset has
+     *                                          translation_dataset_metadata.
+     *
+ * + * string filter = 3; + * + * @return This builder for chaining. + */ + public Builder clearFilter() { + + filter_ = getDefaultInstance().getFilter(); + onChanged(); + return this; + } + /** + * + * + * 
+     * An expression for filtering the results of the request.
+     *   * `dataset_metadata` - for existence of the case (e.g.
+     *             image_classification_dataset_metadata:*). Some examples of using the filter are:
+     *   * `translation_dataset_metadata:*` --> The dataset has
+     *                                          translation_dataset_metadata.
+     *
+ * + * string filter = 3; + * + * @param value The bytes for filter to set. + * @return This builder for chaining. + */ + public Builder setFilterBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + filter_ = value; + onChanged(); + return this; + } + + private int pageSize_; + /** + * + * + * 
+     * Requested page size. Server may return fewer results than requested.
+     * If unspecified, server will pick a default size.
+     *
+ * + * int32 page_size = 4; + * + * @return The pageSize. + */ + public int getPageSize() { + return pageSize_; + } + /** + * + * + * 
+     * Requested page size. Server may return fewer results than requested.
+     * If unspecified, server will pick a default size.
+     *
+ * + * int32 page_size = 4; + * + * @param value The pageSize to set. + * @return This builder for chaining. + */ + public Builder setPageSize(int value) { + + pageSize_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Requested page size. Server may return fewer results than requested.
+     * If unspecified, server will pick a default size.
+     *
+ * + * int32 page_size = 4; + * + * @return This builder for chaining. + */ + public Builder clearPageSize() { + + pageSize_ = 0; + onChanged(); + return this; + } + + private java.lang.Object pageToken_ = ""; + /** + * + * + * 
+     * A token identifying a page of results for the server to return
+     * Typically obtained via
+     * [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token] of the previous
+     * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets] call.
+     *
+ * + * string page_token = 6; + * + * @return The pageToken. + */ + public java.lang.String getPageToken() { + java.lang.Object ref = pageToken_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + pageToken_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * A token identifying a page of results for the server to return
+     * Typically obtained via
+     * [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token] of the previous
+     * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets] call.
+     *
+ * + * string page_token = 6; + * + * @return The bytes for pageToken. + */ + public com.google.protobuf.ByteString getPageTokenBytes() { + java.lang.Object ref = pageToken_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + pageToken_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * A token identifying a page of results for the server to return
+     * Typically obtained via
+     * [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token] of the previous
+     * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets] call.
+     *
+ * + * string page_token = 6; + * + * @param value The pageToken to set. + * @return This builder for chaining. + */ + public Builder setPageToken(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + pageToken_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * A token identifying a page of results for the server to return
+     * Typically obtained via
+     * [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token] of the previous
+     * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets] call.
+     *
+ * + * string page_token = 6; + * + * @return This builder for chaining. + */ + public Builder clearPageToken() { + + pageToken_ = getDefaultInstance().getPageToken(); + onChanged(); + return this; + } + /** + * + * + * 
+     * A token identifying a page of results for the server to return
+     * Typically obtained via
+     * [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token] of the previous
+     * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets] call.
+     *
+ * + * string page_token = 6; + * + * @param value The bytes for pageToken to set. + * @return This builder for chaining. + */ + public Builder setPageTokenBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + pageToken_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ListDatasetsRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ListDatasetsRequest) + private static final com.google.cloud.automl.v1beta1.ListDatasetsRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ListDatasetsRequest(); + } + + public static com.google.cloud.automl.v1beta1.ListDatasetsRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ListDatasetsRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ListDatasetsRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListDatasetsRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsRequestOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsRequestOrBuilder.java new file mode 100644 index 000000000..e39a8aead --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsRequestOrBuilder.java @@ -0,0 +1,132 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface ListDatasetsRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ListDatasetsRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. The resource name of the project from which to list datasets.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The parent. + */ + java.lang.String getParent(); + /** + * + * + * 
+   * Required. The resource name of the project from which to list datasets.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for parent. + */ + com.google.protobuf.ByteString getParentBytes(); + + /** + * + * + * 
+   * An expression for filtering the results of the request.
+   *   * `dataset_metadata` - for existence of the case (e.g.
+   *             image_classification_dataset_metadata:*). Some examples of using the filter are:
+   *   * `translation_dataset_metadata:*` --> The dataset has
+   *                                          translation_dataset_metadata.
+   *
+ * + * string filter = 3; + * + * @return The filter. + */ + java.lang.String getFilter(); + /** + * + * + * 
+   * An expression for filtering the results of the request.
+   *   * `dataset_metadata` - for existence of the case (e.g.
+   *             image_classification_dataset_metadata:*). Some examples of using the filter are:
+   *   * `translation_dataset_metadata:*` --> The dataset has
+   *                                          translation_dataset_metadata.
+   *
+ * + * string filter = 3; + * + * @return The bytes for filter. + */ + com.google.protobuf.ByteString getFilterBytes(); + + /** + * + * + * 
+   * Requested page size. Server may return fewer results than requested.
+   * If unspecified, server will pick a default size.
+   *
+ * + * int32 page_size = 4; + * + * @return The pageSize. + */ + int getPageSize(); + + /** + * + * + * 
+   * A token identifying a page of results for the server to return
+   * Typically obtained via
+   * [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token] of the previous
+   * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets] call.
+   *
+ * + * string page_token = 6; + * + * @return The pageToken. + */ + java.lang.String getPageToken(); + /** + * + * + * 
+   * A token identifying a page of results for the server to return
+   * Typically obtained via
+   * [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token] of the previous
+   * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets] call.
+   *
+ * + * string page_token = 6; + * + * @return The bytes for pageToken. + */ + com.google.protobuf.ByteString getPageTokenBytes(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsResponse.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsResponse.java new file mode 100644 index 000000000..6cf7f70e7 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsResponse.java @@ -0,0 +1,1128 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Response message for [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ListDatasetsResponse} + */ +public final class ListDatasetsResponse extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ListDatasetsResponse) + ListDatasetsResponseOrBuilder { + private static final long serialVersionUID = 0L; + // Use ListDatasetsResponse.newBuilder() to construct. + private ListDatasetsResponse(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ListDatasetsResponse() { + datasets_ = java.util.Collections.emptyList(); + nextPageToken_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ListDatasetsResponse(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ListDatasetsResponse( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + datasets_ = new java.util.ArrayList(); + mutable_bitField0_ |= 0x00000001; + } + datasets_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.Dataset.parser(), extensionRegistry)); + break; + } + case 18: + { + java.lang.String s = input.readStringRequireUtf8(); + + nextPageToken_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + datasets_ = java.util.Collections.unmodifiableList(datasets_); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListDatasetsResponse_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListDatasetsResponse_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ListDatasetsResponse.class, + com.google.cloud.automl.v1beta1.ListDatasetsResponse.Builder.class); + } + + public static final int DATASETS_FIELD_NUMBER = 1; + private java.util.List datasets_; + /** + * + * + * 
+   * The datasets read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + public java.util.List getDatasetsList() { + return datasets_; + } + /** + * + * + * 
+   * The datasets read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + public java.util.List + getDatasetsOrBuilderList() { + return datasets_; + } + /** + * + * + * 
+   * The datasets read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + public int getDatasetsCount() { + return datasets_.size(); + } + /** + * + * + * 
+   * The datasets read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + public com.google.cloud.automl.v1beta1.Dataset getDatasets(int index) { + return datasets_.get(index); + } + /** + * + * + * 
+   * The datasets read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + public com.google.cloud.automl.v1beta1.DatasetOrBuilder getDatasetsOrBuilder(int index) { + return datasets_.get(index); + } + + public static final int NEXT_PAGE_TOKEN_FIELD_NUMBER = 2; + private volatile java.lang.Object nextPageToken_; + /** + * + * + * 
+   * A token to retrieve next page of results.
+   * Pass to [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token] to obtain that page.
+   *
+ * + * string next_page_token = 2; + * + * @return The nextPageToken. + */ + public java.lang.String getNextPageToken() { + java.lang.Object ref = nextPageToken_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + nextPageToken_ = s; + return s; + } + } + /** + * + * + * 
+   * A token to retrieve next page of results.
+   * Pass to [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token] to obtain that page.
+   *
+ * + * string next_page_token = 2; + * + * @return The bytes for nextPageToken. + */ + public com.google.protobuf.ByteString getNextPageTokenBytes() { + java.lang.Object ref = nextPageToken_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + nextPageToken_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + for (int i = 0; i < datasets_.size(); i++) { + output.writeMessage(1, datasets_.get(i)); + } + if (!getNextPageTokenBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 2, nextPageToken_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + for (int i = 0; i < datasets_.size(); i++) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, datasets_.get(i)); + } + if (!getNextPageTokenBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, nextPageToken_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ListDatasetsResponse)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ListDatasetsResponse other = + (com.google.cloud.automl.v1beta1.ListDatasetsResponse) obj; + + if (!getDatasetsList().equals(other.getDatasetsList())) return false; + if (!getNextPageToken().equals(other.getNextPageToken())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (getDatasetsCount() > 0) { + hash = (37 * hash) + DATASETS_FIELD_NUMBER; + hash = (53 * hash) + getDatasetsList().hashCode(); + } + hash = (37 * hash) + NEXT_PAGE_TOKEN_FIELD_NUMBER; + hash = (53 * hash) + getNextPageToken().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ListDatasetsResponse parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListDatasetsResponse parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListDatasetsResponse parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListDatasetsResponse parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListDatasetsResponse parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListDatasetsResponse parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListDatasetsResponse parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListDatasetsResponse parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListDatasetsResponse parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListDatasetsResponse parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListDatasetsResponse parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListDatasetsResponse parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.ListDatasetsResponse prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Response message for [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ListDatasetsResponse} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ListDatasetsResponse) + com.google.cloud.automl.v1beta1.ListDatasetsResponseOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListDatasetsResponse_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListDatasetsResponse_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ListDatasetsResponse.class, + com.google.cloud.automl.v1beta1.ListDatasetsResponse.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.ListDatasetsResponse.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getDatasetsFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (datasetsBuilder_ == null) { + datasets_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + } else { + datasetsBuilder_.clear(); + } + nextPageToken_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListDatasetsResponse_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListDatasetsResponse getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ListDatasetsResponse.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListDatasetsResponse build() { + com.google.cloud.automl.v1beta1.ListDatasetsResponse result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListDatasetsResponse buildPartial() { + com.google.cloud.automl.v1beta1.ListDatasetsResponse result = + new com.google.cloud.automl.v1beta1.ListDatasetsResponse(this); + int from_bitField0_ = bitField0_; + if (datasetsBuilder_ == null) { + if (((bitField0_ & 0x00000001) != 0)) { + datasets_ = java.util.Collections.unmodifiableList(datasets_); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.datasets_ = datasets_; + } else { + result.datasets_ = datasetsBuilder_.build(); + } + result.nextPageToken_ = nextPageToken_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ListDatasetsResponse) { + return mergeFrom((com.google.cloud.automl.v1beta1.ListDatasetsResponse) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.ListDatasetsResponse other) { + if (other == com.google.cloud.automl.v1beta1.ListDatasetsResponse.getDefaultInstance()) + return this; + if (datasetsBuilder_ == null) { + if (!other.datasets_.isEmpty()) { + if (datasets_.isEmpty()) { + datasets_ = other.datasets_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensureDatasetsIsMutable(); + datasets_.addAll(other.datasets_); + } + onChanged(); + } + } else { + if (!other.datasets_.isEmpty()) { + if (datasetsBuilder_.isEmpty()) { + datasetsBuilder_.dispose(); + datasetsBuilder_ = null; + datasets_ = other.datasets_; + bitField0_ = (bitField0_ & ~0x00000001); + datasetsBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getDatasetsFieldBuilder() + : null; + } else { + datasetsBuilder_.addAllMessages(other.datasets_); + } + } + } + if (!other.getNextPageToken().isEmpty()) { + nextPageToken_ = other.nextPageToken_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ListDatasetsResponse parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ListDatasetsResponse) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private java.util.List datasets_ = + java.util.Collections.emptyList(); + + private void ensureDatasetsIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + datasets_ = new java.util.ArrayList(datasets_); + bitField0_ |= 0x00000001; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.Dataset, + com.google.cloud.automl.v1beta1.Dataset.Builder, + com.google.cloud.automl.v1beta1.DatasetOrBuilder> + datasetsBuilder_; + + /** + * + * + * 
+     * The datasets read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + public java.util.List getDatasetsList() { + if (datasetsBuilder_ == null) { + return java.util.Collections.unmodifiableList(datasets_); + } else { + return datasetsBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * The datasets read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + public int getDatasetsCount() { + if (datasetsBuilder_ == null) { + return datasets_.size(); + } else { + return datasetsBuilder_.getCount(); + } + } + /** + * + * + * 
+     * The datasets read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + public com.google.cloud.automl.v1beta1.Dataset getDatasets(int index) { + if (datasetsBuilder_ == null) { + return datasets_.get(index); + } else { + return datasetsBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * The datasets read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + public Builder setDatasets(int index, com.google.cloud.automl.v1beta1.Dataset value) { + if (datasetsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureDatasetsIsMutable(); + datasets_.set(index, value); + onChanged(); + } else { + datasetsBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * The datasets read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + public Builder setDatasets( + int index, com.google.cloud.automl.v1beta1.Dataset.Builder builderForValue) { + if (datasetsBuilder_ == null) { + ensureDatasetsIsMutable(); + datasets_.set(index, builderForValue.build()); + onChanged(); + } else { + datasetsBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * The datasets read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + public Builder addDatasets(com.google.cloud.automl.v1beta1.Dataset value) { + if (datasetsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureDatasetsIsMutable(); + datasets_.add(value); + onChanged(); + } else { + datasetsBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * The datasets read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + public Builder addDatasets(int index, com.google.cloud.automl.v1beta1.Dataset value) { + if (datasetsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureDatasetsIsMutable(); + datasets_.add(index, value); + onChanged(); + } else { + datasetsBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * The datasets read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + public Builder addDatasets(com.google.cloud.automl.v1beta1.Dataset.Builder builderForValue) { + if (datasetsBuilder_ == null) { + ensureDatasetsIsMutable(); + datasets_.add(builderForValue.build()); + onChanged(); + } else { + datasetsBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * The datasets read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + public Builder addDatasets( + int index, com.google.cloud.automl.v1beta1.Dataset.Builder builderForValue) { + if (datasetsBuilder_ == null) { + ensureDatasetsIsMutable(); + datasets_.add(index, builderForValue.build()); + onChanged(); + } else { + datasetsBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * The datasets read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + public Builder addAllDatasets( + java.lang.Iterable values) { + if (datasetsBuilder_ == null) { + ensureDatasetsIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, datasets_); + onChanged(); + } else { + datasetsBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * The datasets read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + public Builder clearDatasets() { + if (datasetsBuilder_ == null) { + datasets_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + } else { + datasetsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * The datasets read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + public Builder removeDatasets(int index) { + if (datasetsBuilder_ == null) { + ensureDatasetsIsMutable(); + datasets_.remove(index); + onChanged(); + } else { + datasetsBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * The datasets read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + public com.google.cloud.automl.v1beta1.Dataset.Builder getDatasetsBuilder(int index) { + return getDatasetsFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * The datasets read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + public com.google.cloud.automl.v1beta1.DatasetOrBuilder getDatasetsOrBuilder(int index) { + if (datasetsBuilder_ == null) { + return datasets_.get(index); + } else { + return datasetsBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * The datasets read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + public java.util.List + getDatasetsOrBuilderList() { + if (datasetsBuilder_ != null) { + return datasetsBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(datasets_); + } + } + /** + * + * + * 
+     * The datasets read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + public com.google.cloud.automl.v1beta1.Dataset.Builder addDatasetsBuilder() { + return getDatasetsFieldBuilder() + .addBuilder(com.google.cloud.automl.v1beta1.Dataset.getDefaultInstance()); + } + /** + * + * + * 
+     * The datasets read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + public com.google.cloud.automl.v1beta1.Dataset.Builder addDatasetsBuilder(int index) { + return getDatasetsFieldBuilder() + .addBuilder(index, com.google.cloud.automl.v1beta1.Dataset.getDefaultInstance()); + } + /** + * + * + * 
+     * The datasets read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + public java.util.List + getDatasetsBuilderList() { + return getDatasetsFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.Dataset, + com.google.cloud.automl.v1beta1.Dataset.Builder, + com.google.cloud.automl.v1beta1.DatasetOrBuilder> + getDatasetsFieldBuilder() { + if (datasetsBuilder_ == null) { + datasetsBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.Dataset, + com.google.cloud.automl.v1beta1.Dataset.Builder, + com.google.cloud.automl.v1beta1.DatasetOrBuilder>( + datasets_, ((bitField0_ & 0x00000001) != 0), getParentForChildren(), isClean()); + datasets_ = null; + } + return datasetsBuilder_; + } + + private java.lang.Object nextPageToken_ = ""; + /** + * + * + * 
+     * A token to retrieve next page of results.
+     * Pass to [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token] to obtain that page.
+     *
+ * + * string next_page_token = 2; + * + * @return The nextPageToken. + */ + public java.lang.String getNextPageToken() { + java.lang.Object ref = nextPageToken_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + nextPageToken_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * A token to retrieve next page of results.
+     * Pass to [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token] to obtain that page.
+     *
+ * + * string next_page_token = 2; + * + * @return The bytes for nextPageToken. + */ + public com.google.protobuf.ByteString getNextPageTokenBytes() { + java.lang.Object ref = nextPageToken_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + nextPageToken_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * A token to retrieve next page of results.
+     * Pass to [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token] to obtain that page.
+     *
+ * + * string next_page_token = 2; + * + * @param value The nextPageToken to set. + * @return This builder for chaining. + */ + public Builder setNextPageToken(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + nextPageToken_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * A token to retrieve next page of results.
+     * Pass to [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token] to obtain that page.
+     *
+ * + * string next_page_token = 2; + * + * @return This builder for chaining. + */ + public Builder clearNextPageToken() { + + nextPageToken_ = getDefaultInstance().getNextPageToken(); + onChanged(); + return this; + } + /** + * + * + * 
+     * A token to retrieve next page of results.
+     * Pass to [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token] to obtain that page.
+     *
+ * + * string next_page_token = 2; + * + * @param value The bytes for nextPageToken to set. + * @return This builder for chaining. + */ + public Builder setNextPageTokenBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + nextPageToken_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ListDatasetsResponse) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ListDatasetsResponse) + private static final com.google.cloud.automl.v1beta1.ListDatasetsResponse DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ListDatasetsResponse(); + } + + public static com.google.cloud.automl.v1beta1.ListDatasetsResponse getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ListDatasetsResponse parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ListDatasetsResponse(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListDatasetsResponse getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsResponseOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsResponseOrBuilder.java new file mode 100644 index 000000000..93dc2bd25 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsResponseOrBuilder.java @@ -0,0 +1,104 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface ListDatasetsResponseOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ListDatasetsResponse) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * The datasets read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + java.util.List getDatasetsList(); + /** + * + * + * 
+   * The datasets read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + com.google.cloud.automl.v1beta1.Dataset getDatasets(int index); + /** + * + * + * 
+   * The datasets read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + int getDatasetsCount(); + /** + * + * + * 
+   * The datasets read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + java.util.List + getDatasetsOrBuilderList(); + /** + * + * + * 
+   * The datasets read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Dataset datasets = 1; + */ + com.google.cloud.automl.v1beta1.DatasetOrBuilder getDatasetsOrBuilder(int index); + + /** + * + * + * 
+   * A token to retrieve next page of results.
+   * Pass to [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token] to obtain that page.
+   *
+ * + * string next_page_token = 2; + * + * @return The nextPageToken. + */ + java.lang.String getNextPageToken(); + /** + * + * + * 
+   * A token to retrieve next page of results.
+   * Pass to [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token] to obtain that page.
+   *
+ * + * string next_page_token = 2; + * + * @return The bytes for nextPageToken. + */ + com.google.protobuf.ByteString getNextPageTokenBytes(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsRequest.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsRequest.java new file mode 100644 index 000000000..51269a141 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsRequest.java @@ -0,0 +1,1175 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ListModelEvaluationsRequest} + */ +public final class ListModelEvaluationsRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ListModelEvaluationsRequest) + ListModelEvaluationsRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use ListModelEvaluationsRequest.newBuilder() to construct. + private ListModelEvaluationsRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ListModelEvaluationsRequest() { + parent_ = ""; + filter_ = ""; + pageToken_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ListModelEvaluationsRequest(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ListModelEvaluationsRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + parent_ = s; + break; + } + case 26: + { + java.lang.String s = input.readStringRequireUtf8(); + + filter_ = s; + break; + } + case 32: + { + pageSize_ = input.readInt32(); + break; + } + case 50: + { + java.lang.String s = input.readStringRequireUtf8(); + + pageToken_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListModelEvaluationsRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListModelEvaluationsRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest.class, + com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest.Builder.class); + } + + public static final int PARENT_FIELD_NUMBER = 1; + private volatile java.lang.Object parent_; + /** + * + * + * 
+   * Required. Resource name of the model to list the model evaluations for.
+   * If modelId is set as "-", this will list model evaluations from across all
+   * models of the parent location.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The parent. + */ + public java.lang.String getParent() { + java.lang.Object ref = parent_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + parent_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. Resource name of the model to list the model evaluations for.
+   * If modelId is set as "-", this will list model evaluations from across all
+   * models of the parent location.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for parent. + */ + public com.google.protobuf.ByteString getParentBytes() { + java.lang.Object ref = parent_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + parent_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int FILTER_FIELD_NUMBER = 3; + private volatile java.lang.Object filter_; + /** + * + * + * 
+   * An expression for filtering the results of the request.
+   *   * `annotation_spec_id` - for =, !=  or existence. See example below for
+   *                          the last.
+   * Some examples of using the filter are:
+   *   * `annotation_spec_id!=4` --> The model evaluation was done for
+   *                             annotation spec with ID different than 4.
+   *   * `NOT annotation_spec_id:*` --> The model evaluation was done for
+   *                                aggregate of all annotation specs.
+   *
+ * + * string filter = 3; + * + * @return The filter. + */ + public java.lang.String getFilter() { + java.lang.Object ref = filter_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + filter_ = s; + return s; + } + } + /** + * + * + * 
+   * An expression for filtering the results of the request.
+   *   * `annotation_spec_id` - for =, !=  or existence. See example below for
+   *                          the last.
+   * Some examples of using the filter are:
+   *   * `annotation_spec_id!=4` --> The model evaluation was done for
+   *                             annotation spec with ID different than 4.
+   *   * `NOT annotation_spec_id:*` --> The model evaluation was done for
+   *                                aggregate of all annotation specs.
+   *
+ * + * string filter = 3; + * + * @return The bytes for filter. + */ + public com.google.protobuf.ByteString getFilterBytes() { + java.lang.Object ref = filter_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + filter_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int PAGE_SIZE_FIELD_NUMBER = 4; + private int pageSize_; + /** + * + * + * 
+   * Requested page size.
+   *
+ * + * int32 page_size = 4; + * + * @return The pageSize. + */ + public int getPageSize() { + return pageSize_; + } + + public static final int PAGE_TOKEN_FIELD_NUMBER = 6; + private volatile java.lang.Object pageToken_; + /** + * + * + * 
+   * A token identifying a page of results for the server to return.
+   * Typically obtained via
+   * [ListModelEvaluationsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
+   * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] call.
+   *
+ * + * string page_token = 6; + * + * @return The pageToken. + */ + public java.lang.String getPageToken() { + java.lang.Object ref = pageToken_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + pageToken_ = s; + return s; + } + } + /** + * + * + * 
+   * A token identifying a page of results for the server to return.
+   * Typically obtained via
+   * [ListModelEvaluationsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
+   * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] call.
+   *
+ * + * string page_token = 6; + * + * @return The bytes for pageToken. + */ + public com.google.protobuf.ByteString getPageTokenBytes() { + java.lang.Object ref = pageToken_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + pageToken_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getParentBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, parent_); + } + if (!getFilterBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 3, filter_); + } + if (pageSize_ != 0) { + output.writeInt32(4, pageSize_); + } + if (!getPageTokenBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 6, pageToken_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getParentBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, parent_); + } + if (!getFilterBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, filter_); + } + if (pageSize_ != 0) { + size += com.google.protobuf.CodedOutputStream.computeInt32Size(4, pageSize_); + } + if (!getPageTokenBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(6, pageToken_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest other = + (com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest) obj; + + if (!getParent().equals(other.getParent())) return false; + if (!getFilter().equals(other.getFilter())) return false; + if (getPageSize() != other.getPageSize()) return false; + if (!getPageToken().equals(other.getPageToken())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + PARENT_FIELD_NUMBER; + hash = (53 * hash) + getParent().hashCode(); + hash = (37 * hash) + FILTER_FIELD_NUMBER; + hash = (53 * hash) + getFilter().hashCode(); + hash = (37 * hash) + PAGE_SIZE_FIELD_NUMBER; + hash = (53 * hash) + getPageSize(); + hash = (37 * hash) + PAGE_TOKEN_FIELD_NUMBER; + hash = (53 * hash) + getPageToken().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ListModelEvaluationsRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ListModelEvaluationsRequest) + com.google.cloud.automl.v1beta1.ListModelEvaluationsRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListModelEvaluationsRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListModelEvaluationsRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest.class, + com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + parent_ = ""; + + filter_ = ""; + + pageSize_ = 0; + + pageToken_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListModelEvaluationsRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest build() { + com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest buildPartial() { + com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest result = + new com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest(this); + result.parent_ = parent_; + result.filter_ = filter_; + result.pageSize_ = pageSize_; + result.pageToken_ = pageToken_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest other) { + if (other == com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest.getDefaultInstance()) + return this; + if (!other.getParent().isEmpty()) { + parent_ = other.parent_; + onChanged(); + } + if (!other.getFilter().isEmpty()) { + filter_ = other.filter_; + onChanged(); + } + if (other.getPageSize() != 0) { + setPageSize(other.getPageSize()); + } + if (!other.getPageToken().isEmpty()) { + pageToken_ = other.pageToken_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object parent_ = ""; + /** + * + * + * 
+     * Required. Resource name of the model to list the model evaluations for.
+     * If modelId is set as "-", this will list model evaluations from across all
+     * models of the parent location.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The parent. + */ + public java.lang.String getParent() { + java.lang.Object ref = parent_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + parent_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. Resource name of the model to list the model evaluations for.
+     * If modelId is set as "-", this will list model evaluations from across all
+     * models of the parent location.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for parent. + */ + public com.google.protobuf.ByteString getParentBytes() { + java.lang.Object ref = parent_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + parent_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. Resource name of the model to list the model evaluations for.
+     * If modelId is set as "-", this will list model evaluations from across all
+     * models of the parent location.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The parent to set. + * @return This builder for chaining. + */ + public Builder setParent(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + parent_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Resource name of the model to list the model evaluations for.
+     * If modelId is set as "-", this will list model evaluations from across all
+     * models of the parent location.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return This builder for chaining. + */ + public Builder clearParent() { + + parent_ = getDefaultInstance().getParent(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Resource name of the model to list the model evaluations for.
+     * If modelId is set as "-", this will list model evaluations from across all
+     * models of the parent location.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The bytes for parent to set. + * @return This builder for chaining. + */ + public Builder setParentBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + parent_ = value; + onChanged(); + return this; + } + + private java.lang.Object filter_ = ""; + /** + * + * + * 
+     * An expression for filtering the results of the request.
+     *   * `annotation_spec_id` - for =, !=  or existence. See example below for
+     *                          the last.
+     * Some examples of using the filter are:
+     *   * `annotation_spec_id!=4` --> The model evaluation was done for
+     *                             annotation spec with ID different than 4.
+     *   * `NOT annotation_spec_id:*` --> The model evaluation was done for
+     *                                aggregate of all annotation specs.
+     *
+ * + * string filter = 3; + * + * @return The filter. + */ + public java.lang.String getFilter() { + java.lang.Object ref = filter_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + filter_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * An expression for filtering the results of the request.
+     *   * `annotation_spec_id` - for =, !=  or existence. See example below for
+     *                          the last.
+     * Some examples of using the filter are:
+     *   * `annotation_spec_id!=4` --> The model evaluation was done for
+     *                             annotation spec with ID different than 4.
+     *   * `NOT annotation_spec_id:*` --> The model evaluation was done for
+     *                                aggregate of all annotation specs.
+     *
+ * + * string filter = 3; + * + * @return The bytes for filter. + */ + public com.google.protobuf.ByteString getFilterBytes() { + java.lang.Object ref = filter_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + filter_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * An expression for filtering the results of the request.
+     *   * `annotation_spec_id` - for =, !=  or existence. See example below for
+     *                          the last.
+     * Some examples of using the filter are:
+     *   * `annotation_spec_id!=4` --> The model evaluation was done for
+     *                             annotation spec with ID different than 4.
+     *   * `NOT annotation_spec_id:*` --> The model evaluation was done for
+     *                                aggregate of all annotation specs.
+     *
+ * + * string filter = 3; + * + * @param value The filter to set. + * @return This builder for chaining. + */ + public Builder setFilter(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + filter_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * An expression for filtering the results of the request.
+     *   * `annotation_spec_id` - for =, !=  or existence. See example below for
+     *                          the last.
+     * Some examples of using the filter are:
+     *   * `annotation_spec_id!=4` --> The model evaluation was done for
+     *                             annotation spec with ID different than 4.
+     *   * `NOT annotation_spec_id:*` --> The model evaluation was done for
+     *                                aggregate of all annotation specs.
+     *
+ * + * string filter = 3; + * + * @return This builder for chaining. + */ + public Builder clearFilter() { + + filter_ = getDefaultInstance().getFilter(); + onChanged(); + return this; + } + /** + * + * + * 
+     * An expression for filtering the results of the request.
+     *   * `annotation_spec_id` - for =, !=  or existence. See example below for
+     *                          the last.
+     * Some examples of using the filter are:
+     *   * `annotation_spec_id!=4` --> The model evaluation was done for
+     *                             annotation spec with ID different than 4.
+     *   * `NOT annotation_spec_id:*` --> The model evaluation was done for
+     *                                aggregate of all annotation specs.
+     *
+ * + * string filter = 3; + * + * @param value The bytes for filter to set. + * @return This builder for chaining. + */ + public Builder setFilterBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + filter_ = value; + onChanged(); + return this; + } + + private int pageSize_; + /** + * + * + * 
+     * Requested page size.
+     *
+ * + * int32 page_size = 4; + * + * @return The pageSize. + */ + public int getPageSize() { + return pageSize_; + } + /** + * + * + * 
+     * Requested page size.
+     *
+ * + * int32 page_size = 4; + * + * @param value The pageSize to set. + * @return This builder for chaining. + */ + public Builder setPageSize(int value) { + + pageSize_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Requested page size.
+     *
+ * + * int32 page_size = 4; + * + * @return This builder for chaining. + */ + public Builder clearPageSize() { + + pageSize_ = 0; + onChanged(); + return this; + } + + private java.lang.Object pageToken_ = ""; + /** + * + * + * 
+     * A token identifying a page of results for the server to return.
+     * Typically obtained via
+     * [ListModelEvaluationsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
+     * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] call.
+     *
+ * + * string page_token = 6; + * + * @return The pageToken. + */ + public java.lang.String getPageToken() { + java.lang.Object ref = pageToken_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + pageToken_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * A token identifying a page of results for the server to return.
+     * Typically obtained via
+     * [ListModelEvaluationsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
+     * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] call.
+     *
+ * + * string page_token = 6; + * + * @return The bytes for pageToken. + */ + public com.google.protobuf.ByteString getPageTokenBytes() { + java.lang.Object ref = pageToken_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + pageToken_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * A token identifying a page of results for the server to return.
+     * Typically obtained via
+     * [ListModelEvaluationsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
+     * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] call.
+     *
+ * + * string page_token = 6; + * + * @param value The pageToken to set. + * @return This builder for chaining. + */ + public Builder setPageToken(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + pageToken_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * A token identifying a page of results for the server to return.
+     * Typically obtained via
+     * [ListModelEvaluationsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
+     * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] call.
+     *
+ * + * string page_token = 6; + * + * @return This builder for chaining. + */ + public Builder clearPageToken() { + + pageToken_ = getDefaultInstance().getPageToken(); + onChanged(); + return this; + } + /** + * + * + * 
+     * A token identifying a page of results for the server to return.
+     * Typically obtained via
+     * [ListModelEvaluationsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
+     * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] call.
+     *
+ * + * string page_token = 6; + * + * @param value The bytes for pageToken to set. + * @return This builder for chaining. + */ + public Builder setPageTokenBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + pageToken_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ListModelEvaluationsRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ListModelEvaluationsRequest) + private static final com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest(); + } + + public static com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ListModelEvaluationsRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ListModelEvaluationsRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsRequestOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsRequestOrBuilder.java new file mode 100644 index 000000000..f51b6851c --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsRequestOrBuilder.java @@ -0,0 +1,141 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface ListModelEvaluationsRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ListModelEvaluationsRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. Resource name of the model to list the model evaluations for.
+   * If modelId is set as "-", this will list model evaluations from across all
+   * models of the parent location.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The parent. + */ + java.lang.String getParent(); + /** + * + * + * 
+   * Required. Resource name of the model to list the model evaluations for.
+   * If modelId is set as "-", this will list model evaluations from across all
+   * models of the parent location.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for parent. + */ + com.google.protobuf.ByteString getParentBytes(); + + /** + * + * + * 
+   * An expression for filtering the results of the request.
+   *   * `annotation_spec_id` - for =, !=  or existence. See example below for
+   *                          the last.
+   * Some examples of using the filter are:
+   *   * `annotation_spec_id!=4` --> The model evaluation was done for
+   *                             annotation spec with ID different than 4.
+   *   * `NOT annotation_spec_id:*` --> The model evaluation was done for
+   *                                aggregate of all annotation specs.
+   *
+ * + * string filter = 3; + * + * @return The filter. + */ + java.lang.String getFilter(); + /** + * + * + * 
+   * An expression for filtering the results of the request.
+   *   * `annotation_spec_id` - for =, !=  or existence. See example below for
+   *                          the last.
+   * Some examples of using the filter are:
+   *   * `annotation_spec_id!=4` --> The model evaluation was done for
+   *                             annotation spec with ID different than 4.
+   *   * `NOT annotation_spec_id:*` --> The model evaluation was done for
+   *                                aggregate of all annotation specs.
+   *
+ * + * string filter = 3; + * + * @return The bytes for filter. + */ + com.google.protobuf.ByteString getFilterBytes(); + + /** + * + * + * 
+   * Requested page size.
+   *
+ * + * int32 page_size = 4; + * + * @return The pageSize. + */ + int getPageSize(); + + /** + * + * + * 
+   * A token identifying a page of results for the server to return.
+   * Typically obtained via
+   * [ListModelEvaluationsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
+   * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] call.
+   *
+ * + * string page_token = 6; + * + * @return The pageToken. + */ + java.lang.String getPageToken(); + /** + * + * + * 
+   * A token identifying a page of results for the server to return.
+   * Typically obtained via
+   * [ListModelEvaluationsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
+   * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] call.
+   *
+ * + * string page_token = 6; + * + * @return The bytes for pageToken. + */ + com.google.protobuf.ByteString getPageTokenBytes(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsResponse.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsResponse.java new file mode 100644 index 000000000..dfcaa55a8 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsResponse.java @@ -0,0 +1,1153 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Response message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ListModelEvaluationsResponse} + */ +public final class ListModelEvaluationsResponse extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ListModelEvaluationsResponse) + ListModelEvaluationsResponseOrBuilder { + private static final long serialVersionUID = 0L; + // Use ListModelEvaluationsResponse.newBuilder() to construct. + private ListModelEvaluationsResponse(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ListModelEvaluationsResponse() { + modelEvaluation_ = java.util.Collections.emptyList(); + nextPageToken_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ListModelEvaluationsResponse(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ListModelEvaluationsResponse( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + modelEvaluation_ = + new java.util.ArrayList(); + mutable_bitField0_ |= 0x00000001; + } + modelEvaluation_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.ModelEvaluation.parser(), extensionRegistry)); + break; + } + case 18: + { + java.lang.String s = input.readStringRequireUtf8(); + + nextPageToken_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + modelEvaluation_ = java.util.Collections.unmodifiableList(modelEvaluation_); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListModelEvaluationsResponse_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListModelEvaluationsResponse_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse.class, + com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse.Builder.class); + } + + public static final int MODEL_EVALUATION_FIELD_NUMBER = 1; + private java.util.List modelEvaluation_; + /** + * + * + * 
+   * List of model evaluations in the requested page.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + public java.util.List getModelEvaluationList() { + return modelEvaluation_; + } + /** + * + * + * 
+   * List of model evaluations in the requested page.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + public java.util.List + getModelEvaluationOrBuilderList() { + return modelEvaluation_; + } + /** + * + * + * 
+   * List of model evaluations in the requested page.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + public int getModelEvaluationCount() { + return modelEvaluation_.size(); + } + /** + * + * + * 
+   * List of model evaluations in the requested page.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + public com.google.cloud.automl.v1beta1.ModelEvaluation getModelEvaluation(int index) { + return modelEvaluation_.get(index); + } + /** + * + * + * 
+   * List of model evaluations in the requested page.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + public com.google.cloud.automl.v1beta1.ModelEvaluationOrBuilder getModelEvaluationOrBuilder( + int index) { + return modelEvaluation_.get(index); + } + + public static final int NEXT_PAGE_TOKEN_FIELD_NUMBER = 2; + private volatile java.lang.Object nextPageToken_; + /** + * + * + * 
+   * A token to retrieve next page of results.
+   * Pass to the [ListModelEvaluationsRequest.page_token][google.cloud.automl.v1beta1.ListModelEvaluationsRequest.page_token] field of a new
+   * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] request to obtain that page.
+   *
+ * + * string next_page_token = 2; + * + * @return The nextPageToken. + */ + public java.lang.String getNextPageToken() { + java.lang.Object ref = nextPageToken_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + nextPageToken_ = s; + return s; + } + } + /** + * + * + * 
+   * A token to retrieve next page of results.
+   * Pass to the [ListModelEvaluationsRequest.page_token][google.cloud.automl.v1beta1.ListModelEvaluationsRequest.page_token] field of a new
+   * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] request to obtain that page.
+   *
+ * + * string next_page_token = 2; + * + * @return The bytes for nextPageToken. + */ + public com.google.protobuf.ByteString getNextPageTokenBytes() { + java.lang.Object ref = nextPageToken_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + nextPageToken_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + for (int i = 0; i < modelEvaluation_.size(); i++) { + output.writeMessage(1, modelEvaluation_.get(i)); + } + if (!getNextPageTokenBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 2, nextPageToken_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + for (int i = 0; i < modelEvaluation_.size(); i++) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, modelEvaluation_.get(i)); + } + if (!getNextPageTokenBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, nextPageToken_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse other = + (com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse) obj; + + if (!getModelEvaluationList().equals(other.getModelEvaluationList())) return false; + if (!getNextPageToken().equals(other.getNextPageToken())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (getModelEvaluationCount() > 0) { + hash = (37 * hash) + MODEL_EVALUATION_FIELD_NUMBER; + hash = (53 * hash) + getModelEvaluationList().hashCode(); + } + hash = (37 * hash) + NEXT_PAGE_TOKEN_FIELD_NUMBER; + hash = (53 * hash) + getNextPageToken().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Response message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ListModelEvaluationsResponse} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ListModelEvaluationsResponse) + com.google.cloud.automl.v1beta1.ListModelEvaluationsResponseOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListModelEvaluationsResponse_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListModelEvaluationsResponse_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse.class, + com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getModelEvaluationFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (modelEvaluationBuilder_ == null) { + modelEvaluation_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + } else { + modelEvaluationBuilder_.clear(); + } + nextPageToken_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListModelEvaluationsResponse_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse build() { + com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse buildPartial() { + com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse result = + new com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse(this); + int from_bitField0_ = bitField0_; + if (modelEvaluationBuilder_ == null) { + if (((bitField0_ & 0x00000001) != 0)) { + modelEvaluation_ = java.util.Collections.unmodifiableList(modelEvaluation_); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.modelEvaluation_ = modelEvaluation_; + } else { + result.modelEvaluation_ = modelEvaluationBuilder_.build(); + } + result.nextPageToken_ = nextPageToken_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse) { + return mergeFrom((com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse other) { + if (other + == com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse.getDefaultInstance()) + return this; + if (modelEvaluationBuilder_ == null) { + if (!other.modelEvaluation_.isEmpty()) { + if (modelEvaluation_.isEmpty()) { + modelEvaluation_ = other.modelEvaluation_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensureModelEvaluationIsMutable(); + modelEvaluation_.addAll(other.modelEvaluation_); + } + onChanged(); + } + } else { + if (!other.modelEvaluation_.isEmpty()) { + if (modelEvaluationBuilder_.isEmpty()) { + modelEvaluationBuilder_.dispose(); + modelEvaluationBuilder_ = null; + modelEvaluation_ = other.modelEvaluation_; + bitField0_ = (bitField0_ & ~0x00000001); + modelEvaluationBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getModelEvaluationFieldBuilder() + : null; + } else { + modelEvaluationBuilder_.addAllMessages(other.modelEvaluation_); + } + } + } + if (!other.getNextPageToken().isEmpty()) { + nextPageToken_ = other.nextPageToken_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private java.util.List modelEvaluation_ = + java.util.Collections.emptyList(); + + private void ensureModelEvaluationIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + modelEvaluation_ = + new java.util.ArrayList( + modelEvaluation_); + bitField0_ |= 0x00000001; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.ModelEvaluation, + com.google.cloud.automl.v1beta1.ModelEvaluation.Builder, + com.google.cloud.automl.v1beta1.ModelEvaluationOrBuilder> + modelEvaluationBuilder_; + + /** + * + * + * 
+     * List of model evaluations in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + public java.util.List + getModelEvaluationList() { + if (modelEvaluationBuilder_ == null) { + return java.util.Collections.unmodifiableList(modelEvaluation_); + } else { + return modelEvaluationBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * List of model evaluations in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + public int getModelEvaluationCount() { + if (modelEvaluationBuilder_ == null) { + return modelEvaluation_.size(); + } else { + return modelEvaluationBuilder_.getCount(); + } + } + /** + * + * + * 
+     * List of model evaluations in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + public com.google.cloud.automl.v1beta1.ModelEvaluation getModelEvaluation(int index) { + if (modelEvaluationBuilder_ == null) { + return modelEvaluation_.get(index); + } else { + return modelEvaluationBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * List of model evaluations in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + public Builder setModelEvaluation( + int index, com.google.cloud.automl.v1beta1.ModelEvaluation value) { + if (modelEvaluationBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureModelEvaluationIsMutable(); + modelEvaluation_.set(index, value); + onChanged(); + } else { + modelEvaluationBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * List of model evaluations in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + public Builder setModelEvaluation( + int index, com.google.cloud.automl.v1beta1.ModelEvaluation.Builder builderForValue) { + if (modelEvaluationBuilder_ == null) { + ensureModelEvaluationIsMutable(); + modelEvaluation_.set(index, builderForValue.build()); + onChanged(); + } else { + modelEvaluationBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * List of model evaluations in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + public Builder addModelEvaluation(com.google.cloud.automl.v1beta1.ModelEvaluation value) { + if (modelEvaluationBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureModelEvaluationIsMutable(); + modelEvaluation_.add(value); + onChanged(); + } else { + modelEvaluationBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * List of model evaluations in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + public Builder addModelEvaluation( + int index, com.google.cloud.automl.v1beta1.ModelEvaluation value) { + if (modelEvaluationBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureModelEvaluationIsMutable(); + modelEvaluation_.add(index, value); + onChanged(); + } else { + modelEvaluationBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * List of model evaluations in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + public Builder addModelEvaluation( + com.google.cloud.automl.v1beta1.ModelEvaluation.Builder builderForValue) { + if (modelEvaluationBuilder_ == null) { + ensureModelEvaluationIsMutable(); + modelEvaluation_.add(builderForValue.build()); + onChanged(); + } else { + modelEvaluationBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * List of model evaluations in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + public Builder addModelEvaluation( + int index, com.google.cloud.automl.v1beta1.ModelEvaluation.Builder builderForValue) { + if (modelEvaluationBuilder_ == null) { + ensureModelEvaluationIsMutable(); + modelEvaluation_.add(index, builderForValue.build()); + onChanged(); + } else { + modelEvaluationBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * List of model evaluations in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + public Builder addAllModelEvaluation( + java.lang.Iterable values) { + if (modelEvaluationBuilder_ == null) { + ensureModelEvaluationIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, modelEvaluation_); + onChanged(); + } else { + modelEvaluationBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * List of model evaluations in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + public Builder clearModelEvaluation() { + if (modelEvaluationBuilder_ == null) { + modelEvaluation_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + } else { + modelEvaluationBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * List of model evaluations in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + public Builder removeModelEvaluation(int index) { + if (modelEvaluationBuilder_ == null) { + ensureModelEvaluationIsMutable(); + modelEvaluation_.remove(index); + onChanged(); + } else { + modelEvaluationBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * List of model evaluations in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + public com.google.cloud.automl.v1beta1.ModelEvaluation.Builder getModelEvaluationBuilder( + int index) { + return getModelEvaluationFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * List of model evaluations in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + public com.google.cloud.automl.v1beta1.ModelEvaluationOrBuilder getModelEvaluationOrBuilder( + int index) { + if (modelEvaluationBuilder_ == null) { + return modelEvaluation_.get(index); + } else { + return modelEvaluationBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * List of model evaluations in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + public java.util.List + getModelEvaluationOrBuilderList() { + if (modelEvaluationBuilder_ != null) { + return modelEvaluationBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(modelEvaluation_); + } + } + /** + * + * + * 
+     * List of model evaluations in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + public com.google.cloud.automl.v1beta1.ModelEvaluation.Builder addModelEvaluationBuilder() { + return getModelEvaluationFieldBuilder() + .addBuilder(com.google.cloud.automl.v1beta1.ModelEvaluation.getDefaultInstance()); + } + /** + * + * + * 
+     * List of model evaluations in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + public com.google.cloud.automl.v1beta1.ModelEvaluation.Builder addModelEvaluationBuilder( + int index) { + return getModelEvaluationFieldBuilder() + .addBuilder(index, com.google.cloud.automl.v1beta1.ModelEvaluation.getDefaultInstance()); + } + /** + * + * + * 
+     * List of model evaluations in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + public java.util.List + getModelEvaluationBuilderList() { + return getModelEvaluationFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.ModelEvaluation, + com.google.cloud.automl.v1beta1.ModelEvaluation.Builder, + com.google.cloud.automl.v1beta1.ModelEvaluationOrBuilder> + getModelEvaluationFieldBuilder() { + if (modelEvaluationBuilder_ == null) { + modelEvaluationBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.ModelEvaluation, + com.google.cloud.automl.v1beta1.ModelEvaluation.Builder, + com.google.cloud.automl.v1beta1.ModelEvaluationOrBuilder>( + modelEvaluation_, + ((bitField0_ & 0x00000001) != 0), + getParentForChildren(), + isClean()); + modelEvaluation_ = null; + } + return modelEvaluationBuilder_; + } + + private java.lang.Object nextPageToken_ = ""; + /** + * + * + * 
+     * A token to retrieve next page of results.
+     * Pass to the [ListModelEvaluationsRequest.page_token][google.cloud.automl.v1beta1.ListModelEvaluationsRequest.page_token] field of a new
+     * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] request to obtain that page.
+     *
+ * + * string next_page_token = 2; + * + * @return The nextPageToken. + */ + public java.lang.String getNextPageToken() { + java.lang.Object ref = nextPageToken_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + nextPageToken_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * A token to retrieve next page of results.
+     * Pass to the [ListModelEvaluationsRequest.page_token][google.cloud.automl.v1beta1.ListModelEvaluationsRequest.page_token] field of a new
+     * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] request to obtain that page.
+     *
+ * + * string next_page_token = 2; + * + * @return The bytes for nextPageToken. + */ + public com.google.protobuf.ByteString getNextPageTokenBytes() { + java.lang.Object ref = nextPageToken_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + nextPageToken_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * A token to retrieve next page of results.
+     * Pass to the [ListModelEvaluationsRequest.page_token][google.cloud.automl.v1beta1.ListModelEvaluationsRequest.page_token] field of a new
+     * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] request to obtain that page.
+     *
+ * + * string next_page_token = 2; + * + * @param value The nextPageToken to set. + * @return This builder for chaining. + */ + public Builder setNextPageToken(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + nextPageToken_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * A token to retrieve next page of results.
+     * Pass to the [ListModelEvaluationsRequest.page_token][google.cloud.automl.v1beta1.ListModelEvaluationsRequest.page_token] field of a new
+     * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] request to obtain that page.
+     *
+ * + * string next_page_token = 2; + * + * @return This builder for chaining. + */ + public Builder clearNextPageToken() { + + nextPageToken_ = getDefaultInstance().getNextPageToken(); + onChanged(); + return this; + } + /** + * + * + * 
+     * A token to retrieve next page of results.
+     * Pass to the [ListModelEvaluationsRequest.page_token][google.cloud.automl.v1beta1.ListModelEvaluationsRequest.page_token] field of a new
+     * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] request to obtain that page.
+     *
+ * + * string next_page_token = 2; + * + * @param value The bytes for nextPageToken to set. + * @return This builder for chaining. + */ + public Builder setNextPageTokenBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + nextPageToken_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ListModelEvaluationsResponse) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ListModelEvaluationsResponse) + private static final com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse(); + } + + public static com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ListModelEvaluationsResponse parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ListModelEvaluationsResponse(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsResponseOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsResponseOrBuilder.java new file mode 100644 index 000000000..a14c73e66 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsResponseOrBuilder.java @@ -0,0 +1,106 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface ListModelEvaluationsResponseOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ListModelEvaluationsResponse) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * List of model evaluations in the requested page.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + java.util.List getModelEvaluationList(); + /** + * + * + * 
+   * List of model evaluations in the requested page.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + com.google.cloud.automl.v1beta1.ModelEvaluation getModelEvaluation(int index); + /** + * + * + * 
+   * List of model evaluations in the requested page.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + int getModelEvaluationCount(); + /** + * + * + * 
+   * List of model evaluations in the requested page.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + java.util.List + getModelEvaluationOrBuilderList(); + /** + * + * + * 
+   * List of model evaluations in the requested page.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ModelEvaluation model_evaluation = 1; + */ + com.google.cloud.automl.v1beta1.ModelEvaluationOrBuilder getModelEvaluationOrBuilder(int index); + + /** + * + * + * 
+   * A token to retrieve next page of results.
+   * Pass to the [ListModelEvaluationsRequest.page_token][google.cloud.automl.v1beta1.ListModelEvaluationsRequest.page_token] field of a new
+   * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] request to obtain that page.
+   *
+ * + * string next_page_token = 2; + * + * @return The nextPageToken. + */ + java.lang.String getNextPageToken(); + /** + * + * + * 
+   * A token to retrieve next page of results.
+   * Pass to the [ListModelEvaluationsRequest.page_token][google.cloud.automl.v1beta1.ListModelEvaluationsRequest.page_token] field of a new
+   * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] request to obtain that page.
+   *
+ * + * string next_page_token = 2; + * + * @return The bytes for nextPageToken. + */ + com.google.protobuf.ByteString getNextPageTokenBytes(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsRequest.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsRequest.java new file mode 100644 index 000000000..bc2b7abc3 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsRequest.java @@ -0,0 +1,1153 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ListModelsRequest} + */ +public final class ListModelsRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ListModelsRequest) + ListModelsRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use ListModelsRequest.newBuilder() to construct. + private ListModelsRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ListModelsRequest() { + parent_ = ""; + filter_ = ""; + pageToken_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ListModelsRequest(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ListModelsRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + parent_ = s; + break; + } + case 26: + { + java.lang.String s = input.readStringRequireUtf8(); + + filter_ = s; + break; + } + case 32: + { + pageSize_ = input.readInt32(); + break; + } + case 50: + { + java.lang.String s = input.readStringRequireUtf8(); + + pageToken_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListModelsRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListModelsRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ListModelsRequest.class, + com.google.cloud.automl.v1beta1.ListModelsRequest.Builder.class); + } + + public static final int PARENT_FIELD_NUMBER = 1; + private volatile java.lang.Object parent_; + /** + * + * + * 
+   * Required. Resource name of the project, from which to list the models.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The parent. + */ + public java.lang.String getParent() { + java.lang.Object ref = parent_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + parent_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. Resource name of the project, from which to list the models.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for parent. + */ + public com.google.protobuf.ByteString getParentBytes() { + java.lang.Object ref = parent_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + parent_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int FILTER_FIELD_NUMBER = 3; + private volatile java.lang.Object filter_; + /** + * + * + * 
+   * An expression for filtering the results of the request.
+   *   * `model_metadata` - for existence of the case (e.g.
+   *             video_classification_model_metadata:*).
+   *   * `dataset_id` - for = or !=. Some examples of using the filter are:
+   *   * `image_classification_model_metadata:*` --> The model has
+   *                                        image_classification_model_metadata.
+   *   * `dataset_id=5` --> The model was created from a dataset with ID 5.
+   *
+ * + * string filter = 3; + * + * @return The filter. + */ + public java.lang.String getFilter() { + java.lang.Object ref = filter_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + filter_ = s; + return s; + } + } + /** + * + * + * 
+   * An expression for filtering the results of the request.
+   *   * `model_metadata` - for existence of the case (e.g.
+   *             video_classification_model_metadata:*).
+   *   * `dataset_id` - for = or !=. Some examples of using the filter are:
+   *   * `image_classification_model_metadata:*` --> The model has
+   *                                        image_classification_model_metadata.
+   *   * `dataset_id=5` --> The model was created from a dataset with ID 5.
+   *
+ * + * string filter = 3; + * + * @return The bytes for filter. + */ + public com.google.protobuf.ByteString getFilterBytes() { + java.lang.Object ref = filter_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + filter_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int PAGE_SIZE_FIELD_NUMBER = 4; + private int pageSize_; + /** + * + * + * 
+   * Requested page size.
+   *
+ * + * int32 page_size = 4; + * + * @return The pageSize. + */ + public int getPageSize() { + return pageSize_; + } + + public static final int PAGE_TOKEN_FIELD_NUMBER = 6; + private volatile java.lang.Object pageToken_; + /** + * + * + * 
+   * A token identifying a page of results for the server to return
+   * Typically obtained via
+   * [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token] of the previous
+   * [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels] call.
+   *
+ * + * string page_token = 6; + * + * @return The pageToken. + */ + public java.lang.String getPageToken() { + java.lang.Object ref = pageToken_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + pageToken_ = s; + return s; + } + } + /** + * + * + * 
+   * A token identifying a page of results for the server to return
+   * Typically obtained via
+   * [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token] of the previous
+   * [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels] call.
+   *
+ * + * string page_token = 6; + * + * @return The bytes for pageToken. + */ + public com.google.protobuf.ByteString getPageTokenBytes() { + java.lang.Object ref = pageToken_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + pageToken_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getParentBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, parent_); + } + if (!getFilterBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 3, filter_); + } + if (pageSize_ != 0) { + output.writeInt32(4, pageSize_); + } + if (!getPageTokenBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 6, pageToken_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getParentBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, parent_); + } + if (!getFilterBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, filter_); + } + if (pageSize_ != 0) { + size += com.google.protobuf.CodedOutputStream.computeInt32Size(4, pageSize_); + } + if (!getPageTokenBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(6, pageToken_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ListModelsRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ListModelsRequest other = + (com.google.cloud.automl.v1beta1.ListModelsRequest) obj; + + if (!getParent().equals(other.getParent())) return false; + if (!getFilter().equals(other.getFilter())) return false; + if (getPageSize() != other.getPageSize()) return false; + if (!getPageToken().equals(other.getPageToken())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + PARENT_FIELD_NUMBER; + hash = (53 * hash) + getParent().hashCode(); + hash = (37 * hash) + FILTER_FIELD_NUMBER; + hash = (53 * hash) + getFilter().hashCode(); + hash = (37 * hash) + PAGE_SIZE_FIELD_NUMBER; + hash = (53 * hash) + getPageSize(); + hash = (37 * hash) + PAGE_TOKEN_FIELD_NUMBER; + hash = (53 * hash) + getPageToken().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ListModelsRequest parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListModelsRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListModelsRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListModelsRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListModelsRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListModelsRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListModelsRequest parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListModelsRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListModelsRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListModelsRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListModelsRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListModelsRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.ListModelsRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ListModelsRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ListModelsRequest) + com.google.cloud.automl.v1beta1.ListModelsRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListModelsRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListModelsRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ListModelsRequest.class, + com.google.cloud.automl.v1beta1.ListModelsRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.ListModelsRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + parent_ = ""; + + filter_ = ""; + + pageSize_ = 0; + + pageToken_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListModelsRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListModelsRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ListModelsRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListModelsRequest build() { + com.google.cloud.automl.v1beta1.ListModelsRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListModelsRequest buildPartial() { + com.google.cloud.automl.v1beta1.ListModelsRequest result = + new com.google.cloud.automl.v1beta1.ListModelsRequest(this); + result.parent_ = parent_; + result.filter_ = filter_; + result.pageSize_ = pageSize_; + result.pageToken_ = pageToken_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ListModelsRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.ListModelsRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.ListModelsRequest other) { + if (other == com.google.cloud.automl.v1beta1.ListModelsRequest.getDefaultInstance()) + return this; + if (!other.getParent().isEmpty()) { + parent_ = other.parent_; + onChanged(); + } + if (!other.getFilter().isEmpty()) { + filter_ = other.filter_; + onChanged(); + } + if (other.getPageSize() != 0) { + setPageSize(other.getPageSize()); + } + if (!other.getPageToken().isEmpty()) { + pageToken_ = other.pageToken_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ListModelsRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ListModelsRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object parent_ = ""; + /** + * + * + * 
+     * Required. Resource name of the project, from which to list the models.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The parent. + */ + public java.lang.String getParent() { + java.lang.Object ref = parent_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + parent_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. Resource name of the project, from which to list the models.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for parent. + */ + public com.google.protobuf.ByteString getParentBytes() { + java.lang.Object ref = parent_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + parent_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. Resource name of the project, from which to list the models.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The parent to set. + * @return This builder for chaining. + */ + public Builder setParent(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + parent_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Resource name of the project, from which to list the models.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return This builder for chaining. + */ + public Builder clearParent() { + + parent_ = getDefaultInstance().getParent(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Resource name of the project, from which to list the models.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The bytes for parent to set. + * @return This builder for chaining. + */ + public Builder setParentBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + parent_ = value; + onChanged(); + return this; + } + + private java.lang.Object filter_ = ""; + /** + * + * + * 
+     * An expression for filtering the results of the request.
+     *   * `model_metadata` - for existence of the case (e.g.
+     *             video_classification_model_metadata:*).
+     *   * `dataset_id` - for = or !=. Some examples of using the filter are:
+     *   * `image_classification_model_metadata:*` --> The model has
+     *                                        image_classification_model_metadata.
+     *   * `dataset_id=5` --> The model was created from a dataset with ID 5.
+     *
+ * + * string filter = 3; + * + * @return The filter. + */ + public java.lang.String getFilter() { + java.lang.Object ref = filter_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + filter_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * An expression for filtering the results of the request.
+     *   * `model_metadata` - for existence of the case (e.g.
+     *             video_classification_model_metadata:*).
+     *   * `dataset_id` - for = or !=. Some examples of using the filter are:
+     *   * `image_classification_model_metadata:*` --> The model has
+     *                                        image_classification_model_metadata.
+     *   * `dataset_id=5` --> The model was created from a dataset with ID 5.
+     *
+ * + * string filter = 3; + * + * @return The bytes for filter. + */ + public com.google.protobuf.ByteString getFilterBytes() { + java.lang.Object ref = filter_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + filter_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * An expression for filtering the results of the request.
+     *   * `model_metadata` - for existence of the case (e.g.
+     *             video_classification_model_metadata:*).
+     *   * `dataset_id` - for = or !=. Some examples of using the filter are:
+     *   * `image_classification_model_metadata:*` --> The model has
+     *                                        image_classification_model_metadata.
+     *   * `dataset_id=5` --> The model was created from a dataset with ID 5.
+     *
+ * + * string filter = 3; + * + * @param value The filter to set. + * @return This builder for chaining. + */ + public Builder setFilter(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + filter_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * An expression for filtering the results of the request.
+     *   * `model_metadata` - for existence of the case (e.g.
+     *             video_classification_model_metadata:*).
+     *   * `dataset_id` - for = or !=. Some examples of using the filter are:
+     *   * `image_classification_model_metadata:*` --> The model has
+     *                                        image_classification_model_metadata.
+     *   * `dataset_id=5` --> The model was created from a dataset with ID 5.
+     *
+ * + * string filter = 3; + * + * @return This builder for chaining. + */ + public Builder clearFilter() { + + filter_ = getDefaultInstance().getFilter(); + onChanged(); + return this; + } + /** + * + * + * 
+     * An expression for filtering the results of the request.
+     *   * `model_metadata` - for existence of the case (e.g.
+     *             video_classification_model_metadata:*).
+     *   * `dataset_id` - for = or !=. Some examples of using the filter are:
+     *   * `image_classification_model_metadata:*` --> The model has
+     *                                        image_classification_model_metadata.
+     *   * `dataset_id=5` --> The model was created from a dataset with ID 5.
+     *
+ * + * string filter = 3; + * + * @param value The bytes for filter to set. + * @return This builder for chaining. + */ + public Builder setFilterBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + filter_ = value; + onChanged(); + return this; + } + + private int pageSize_; + /** + * + * + * 
+     * Requested page size.
+     *
+ * + * int32 page_size = 4; + * + * @return The pageSize. + */ + public int getPageSize() { + return pageSize_; + } + /** + * + * + * 
+     * Requested page size.
+     *
+ * + * int32 page_size = 4; + * + * @param value The pageSize to set. + * @return This builder for chaining. + */ + public Builder setPageSize(int value) { + + pageSize_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Requested page size.
+     *
+ * + * int32 page_size = 4; + * + * @return This builder for chaining. + */ + public Builder clearPageSize() { + + pageSize_ = 0; + onChanged(); + return this; + } + + private java.lang.Object pageToken_ = ""; + /** + * + * + * 
+     * A token identifying a page of results for the server to return
+     * Typically obtained via
+     * [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token] of the previous
+     * [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels] call.
+     *
+ * + * string page_token = 6; + * + * @return The pageToken. + */ + public java.lang.String getPageToken() { + java.lang.Object ref = pageToken_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + pageToken_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * A token identifying a page of results for the server to return
+     * Typically obtained via
+     * [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token] of the previous
+     * [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels] call.
+     *
+ * + * string page_token = 6; + * + * @return The bytes for pageToken. + */ + public com.google.protobuf.ByteString getPageTokenBytes() { + java.lang.Object ref = pageToken_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + pageToken_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * A token identifying a page of results for the server to return
+     * Typically obtained via
+     * [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token] of the previous
+     * [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels] call.
+     *
+ * + * string page_token = 6; + * + * @param value The pageToken to set. + * @return This builder for chaining. + */ + public Builder setPageToken(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + pageToken_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * A token identifying a page of results for the server to return
+     * Typically obtained via
+     * [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token] of the previous
+     * [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels] call.
+     *
+ * + * string page_token = 6; + * + * @return This builder for chaining. + */ + public Builder clearPageToken() { + + pageToken_ = getDefaultInstance().getPageToken(); + onChanged(); + return this; + } + /** + * + * + * 
+     * A token identifying a page of results for the server to return
+     * Typically obtained via
+     * [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token] of the previous
+     * [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels] call.
+     *
+ * + * string page_token = 6; + * + * @param value The bytes for pageToken to set. + * @return This builder for chaining. + */ + public Builder setPageTokenBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + pageToken_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ListModelsRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ListModelsRequest) + private static final com.google.cloud.automl.v1beta1.ListModelsRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ListModelsRequest(); + } + + public static com.google.cloud.automl.v1beta1.ListModelsRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ListModelsRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ListModelsRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListModelsRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsRequestOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsRequestOrBuilder.java new file mode 100644 index 000000000..873c691f9 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsRequestOrBuilder.java @@ -0,0 +1,135 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface ListModelsRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ListModelsRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. Resource name of the project, from which to list the models.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The parent. + */ + java.lang.String getParent(); + /** + * + * + * 
+   * Required. Resource name of the project, from which to list the models.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for parent. + */ + com.google.protobuf.ByteString getParentBytes(); + + /** + * + * + * 
+   * An expression for filtering the results of the request.
+   *   * `model_metadata` - for existence of the case (e.g.
+   *             video_classification_model_metadata:*).
+   *   * `dataset_id` - for = or !=. Some examples of using the filter are:
+   *   * `image_classification_model_metadata:*` --> The model has
+   *                                        image_classification_model_metadata.
+   *   * `dataset_id=5` --> The model was created from a dataset with ID 5.
+   *
+ * + * string filter = 3; + * + * @return The filter. + */ + java.lang.String getFilter(); + /** + * + * + * 
+   * An expression for filtering the results of the request.
+   *   * `model_metadata` - for existence of the case (e.g.
+   *             video_classification_model_metadata:*).
+   *   * `dataset_id` - for = or !=. Some examples of using the filter are:
+   *   * `image_classification_model_metadata:*` --> The model has
+   *                                        image_classification_model_metadata.
+   *   * `dataset_id=5` --> The model was created from a dataset with ID 5.
+   *
+ * + * string filter = 3; + * + * @return The bytes for filter. + */ + com.google.protobuf.ByteString getFilterBytes(); + + /** + * + * + * 
+   * Requested page size.
+   *
+ * + * int32 page_size = 4; + * + * @return The pageSize. + */ + int getPageSize(); + + /** + * + * + * 
+   * A token identifying a page of results for the server to return
+   * Typically obtained via
+   * [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token] of the previous
+   * [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels] call.
+   *
+ * + * string page_token = 6; + * + * @return The pageToken. + */ + java.lang.String getPageToken(); + /** + * + * + * 
+   * A token identifying a page of results for the server to return
+   * Typically obtained via
+   * [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token] of the previous
+   * [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels] call.
+   *
+ * + * string page_token = 6; + * + * @return The bytes for pageToken. + */ + com.google.protobuf.ByteString getPageTokenBytes(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsResponse.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsResponse.java new file mode 100644 index 000000000..8f9488067 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsResponse.java @@ -0,0 +1,1127 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Response message for [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ListModelsResponse} + */ +public final class ListModelsResponse extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ListModelsResponse) + ListModelsResponseOrBuilder { + private static final long serialVersionUID = 0L; + // Use ListModelsResponse.newBuilder() to construct. + private ListModelsResponse(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ListModelsResponse() { + model_ = java.util.Collections.emptyList(); + nextPageToken_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ListModelsResponse(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ListModelsResponse( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + model_ = new java.util.ArrayList(); + mutable_bitField0_ |= 0x00000001; + } + model_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.Model.parser(), extensionRegistry)); + break; + } + case 18: + { + java.lang.String s = input.readStringRequireUtf8(); + + nextPageToken_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + model_ = java.util.Collections.unmodifiableList(model_); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListModelsResponse_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListModelsResponse_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ListModelsResponse.class, + com.google.cloud.automl.v1beta1.ListModelsResponse.Builder.class); + } + + public static final int MODEL_FIELD_NUMBER = 1; + private java.util.List model_; + /** + * + * + * 
+   * List of models in the requested page.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + public java.util.List getModelList() { + return model_; + } + /** + * + * + * 
+   * List of models in the requested page.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + public java.util.List + getModelOrBuilderList() { + return model_; + } + /** + * + * + * 
+   * List of models in the requested page.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + public int getModelCount() { + return model_.size(); + } + /** + * + * + * 
+   * List of models in the requested page.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + public com.google.cloud.automl.v1beta1.Model getModel(int index) { + return model_.get(index); + } + /** + * + * + * 
+   * List of models in the requested page.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + public com.google.cloud.automl.v1beta1.ModelOrBuilder getModelOrBuilder(int index) { + return model_.get(index); + } + + public static final int NEXT_PAGE_TOKEN_FIELD_NUMBER = 2; + private volatile java.lang.Object nextPageToken_; + /** + * + * + * 
+   * A token to retrieve next page of results.
+   * Pass to [ListModelsRequest.page_token][google.cloud.automl.v1beta1.ListModelsRequest.page_token] to obtain that page.
+   *
+ * + * string next_page_token = 2; + * + * @return The nextPageToken. + */ + public java.lang.String getNextPageToken() { + java.lang.Object ref = nextPageToken_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + nextPageToken_ = s; + return s; + } + } + /** + * + * + * 
+   * A token to retrieve next page of results.
+   * Pass to [ListModelsRequest.page_token][google.cloud.automl.v1beta1.ListModelsRequest.page_token] to obtain that page.
+   *
+ * + * string next_page_token = 2; + * + * @return The bytes for nextPageToken. + */ + public com.google.protobuf.ByteString getNextPageTokenBytes() { + java.lang.Object ref = nextPageToken_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + nextPageToken_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + for (int i = 0; i < model_.size(); i++) { + output.writeMessage(1, model_.get(i)); + } + if (!getNextPageTokenBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 2, nextPageToken_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + for (int i = 0; i < model_.size(); i++) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, model_.get(i)); + } + if (!getNextPageTokenBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, nextPageToken_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ListModelsResponse)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ListModelsResponse other = + (com.google.cloud.automl.v1beta1.ListModelsResponse) obj; + + if (!getModelList().equals(other.getModelList())) return false; + if (!getNextPageToken().equals(other.getNextPageToken())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (getModelCount() > 0) { + hash = (37 * hash) + MODEL_FIELD_NUMBER; + hash = (53 * hash) + getModelList().hashCode(); + } + hash = (37 * hash) + NEXT_PAGE_TOKEN_FIELD_NUMBER; + hash = (53 * hash) + getNextPageToken().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ListModelsResponse parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListModelsResponse parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListModelsResponse parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListModelsResponse parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListModelsResponse parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListModelsResponse parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListModelsResponse parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListModelsResponse parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListModelsResponse parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListModelsResponse parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListModelsResponse parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListModelsResponse parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.ListModelsResponse prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Response message for [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ListModelsResponse} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ListModelsResponse) + com.google.cloud.automl.v1beta1.ListModelsResponseOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListModelsResponse_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListModelsResponse_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ListModelsResponse.class, + com.google.cloud.automl.v1beta1.ListModelsResponse.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.ListModelsResponse.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getModelFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (modelBuilder_ == null) { + model_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + } else { + modelBuilder_.clear(); + } + nextPageToken_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListModelsResponse_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListModelsResponse getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ListModelsResponse.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListModelsResponse build() { + com.google.cloud.automl.v1beta1.ListModelsResponse result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListModelsResponse buildPartial() { + com.google.cloud.automl.v1beta1.ListModelsResponse result = + new com.google.cloud.automl.v1beta1.ListModelsResponse(this); + int from_bitField0_ = bitField0_; + if (modelBuilder_ == null) { + if (((bitField0_ & 0x00000001) != 0)) { + model_ = java.util.Collections.unmodifiableList(model_); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.model_ = model_; + } else { + result.model_ = modelBuilder_.build(); + } + result.nextPageToken_ = nextPageToken_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ListModelsResponse) { + return mergeFrom((com.google.cloud.automl.v1beta1.ListModelsResponse) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.ListModelsResponse other) { + if (other == com.google.cloud.automl.v1beta1.ListModelsResponse.getDefaultInstance()) + return this; + if (modelBuilder_ == null) { + if (!other.model_.isEmpty()) { + if (model_.isEmpty()) { + model_ = other.model_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensureModelIsMutable(); + model_.addAll(other.model_); + } + onChanged(); + } + } else { + if (!other.model_.isEmpty()) { + if (modelBuilder_.isEmpty()) { + modelBuilder_.dispose(); + modelBuilder_ = null; + model_ = other.model_; + bitField0_ = (bitField0_ & ~0x00000001); + modelBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getModelFieldBuilder() + : null; + } else { + modelBuilder_.addAllMessages(other.model_); + } + } + } + if (!other.getNextPageToken().isEmpty()) { + nextPageToken_ = other.nextPageToken_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ListModelsResponse parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ListModelsResponse) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private java.util.List model_ = + java.util.Collections.emptyList(); + + private void ensureModelIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + model_ = new java.util.ArrayList(model_); + bitField0_ |= 0x00000001; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.Model, + com.google.cloud.automl.v1beta1.Model.Builder, + com.google.cloud.automl.v1beta1.ModelOrBuilder> + modelBuilder_; + + /** + * + * + * 
+     * List of models in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + public java.util.List getModelList() { + if (modelBuilder_ == null) { + return java.util.Collections.unmodifiableList(model_); + } else { + return modelBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * List of models in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + public int getModelCount() { + if (modelBuilder_ == null) { + return model_.size(); + } else { + return modelBuilder_.getCount(); + } + } + /** + * + * + * 
+     * List of models in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + public com.google.cloud.automl.v1beta1.Model getModel(int index) { + if (modelBuilder_ == null) { + return model_.get(index); + } else { + return modelBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * List of models in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + public Builder setModel(int index, com.google.cloud.automl.v1beta1.Model value) { + if (modelBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureModelIsMutable(); + model_.set(index, value); + onChanged(); + } else { + modelBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * List of models in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + public Builder setModel( + int index, com.google.cloud.automl.v1beta1.Model.Builder builderForValue) { + if (modelBuilder_ == null) { + ensureModelIsMutable(); + model_.set(index, builderForValue.build()); + onChanged(); + } else { + modelBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * List of models in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + public Builder addModel(com.google.cloud.automl.v1beta1.Model value) { + if (modelBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureModelIsMutable(); + model_.add(value); + onChanged(); + } else { + modelBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * List of models in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + public Builder addModel(int index, com.google.cloud.automl.v1beta1.Model value) { + if (modelBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureModelIsMutable(); + model_.add(index, value); + onChanged(); + } else { + modelBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * List of models in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + public Builder addModel(com.google.cloud.automl.v1beta1.Model.Builder builderForValue) { + if (modelBuilder_ == null) { + ensureModelIsMutable(); + model_.add(builderForValue.build()); + onChanged(); + } else { + modelBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * List of models in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + public Builder addModel( + int index, com.google.cloud.automl.v1beta1.Model.Builder builderForValue) { + if (modelBuilder_ == null) { + ensureModelIsMutable(); + model_.add(index, builderForValue.build()); + onChanged(); + } else { + modelBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * List of models in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + public Builder addAllModel( + java.lang.Iterable values) { + if (modelBuilder_ == null) { + ensureModelIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, model_); + onChanged(); + } else { + modelBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * List of models in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + public Builder clearModel() { + if (modelBuilder_ == null) { + model_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + } else { + modelBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * List of models in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + public Builder removeModel(int index) { + if (modelBuilder_ == null) { + ensureModelIsMutable(); + model_.remove(index); + onChanged(); + } else { + modelBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * List of models in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + public com.google.cloud.automl.v1beta1.Model.Builder getModelBuilder(int index) { + return getModelFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * List of models in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + public com.google.cloud.automl.v1beta1.ModelOrBuilder getModelOrBuilder(int index) { + if (modelBuilder_ == null) { + return model_.get(index); + } else { + return modelBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * List of models in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + public java.util.List + getModelOrBuilderList() { + if (modelBuilder_ != null) { + return modelBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(model_); + } + } + /** + * + * + * 
+     * List of models in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + public com.google.cloud.automl.v1beta1.Model.Builder addModelBuilder() { + return getModelFieldBuilder() + .addBuilder(com.google.cloud.automl.v1beta1.Model.getDefaultInstance()); + } + /** + * + * + * 
+     * List of models in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + public com.google.cloud.automl.v1beta1.Model.Builder addModelBuilder(int index) { + return getModelFieldBuilder() + .addBuilder(index, com.google.cloud.automl.v1beta1.Model.getDefaultInstance()); + } + /** + * + * + * 
+     * List of models in the requested page.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + public java.util.List getModelBuilderList() { + return getModelFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.Model, + com.google.cloud.automl.v1beta1.Model.Builder, + com.google.cloud.automl.v1beta1.ModelOrBuilder> + getModelFieldBuilder() { + if (modelBuilder_ == null) { + modelBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.Model, + com.google.cloud.automl.v1beta1.Model.Builder, + com.google.cloud.automl.v1beta1.ModelOrBuilder>( + model_, ((bitField0_ & 0x00000001) != 0), getParentForChildren(), isClean()); + model_ = null; + } + return modelBuilder_; + } + + private java.lang.Object nextPageToken_ = ""; + /** + * + * + * 
+     * A token to retrieve next page of results.
+     * Pass to [ListModelsRequest.page_token][google.cloud.automl.v1beta1.ListModelsRequest.page_token] to obtain that page.
+     *
+ * + * string next_page_token = 2; + * + * @return The nextPageToken. + */ + public java.lang.String getNextPageToken() { + java.lang.Object ref = nextPageToken_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + nextPageToken_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * A token to retrieve next page of results.
+     * Pass to [ListModelsRequest.page_token][google.cloud.automl.v1beta1.ListModelsRequest.page_token] to obtain that page.
+     *
+ * + * string next_page_token = 2; + * + * @return The bytes for nextPageToken. + */ + public com.google.protobuf.ByteString getNextPageTokenBytes() { + java.lang.Object ref = nextPageToken_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + nextPageToken_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * A token to retrieve next page of results.
+     * Pass to [ListModelsRequest.page_token][google.cloud.automl.v1beta1.ListModelsRequest.page_token] to obtain that page.
+     *
+ * + * string next_page_token = 2; + * + * @param value The nextPageToken to set. + * @return This builder for chaining. + */ + public Builder setNextPageToken(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + nextPageToken_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * A token to retrieve next page of results.
+     * Pass to [ListModelsRequest.page_token][google.cloud.automl.v1beta1.ListModelsRequest.page_token] to obtain that page.
+     *
+ * + * string next_page_token = 2; + * + * @return This builder for chaining. + */ + public Builder clearNextPageToken() { + + nextPageToken_ = getDefaultInstance().getNextPageToken(); + onChanged(); + return this; + } + /** + * + * + * 
+     * A token to retrieve next page of results.
+     * Pass to [ListModelsRequest.page_token][google.cloud.automl.v1beta1.ListModelsRequest.page_token] to obtain that page.
+     *
+ * + * string next_page_token = 2; + * + * @param value The bytes for nextPageToken to set. + * @return This builder for chaining. + */ + public Builder setNextPageTokenBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + nextPageToken_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ListModelsResponse) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ListModelsResponse) + private static final com.google.cloud.automl.v1beta1.ListModelsResponse DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ListModelsResponse(); + } + + public static com.google.cloud.automl.v1beta1.ListModelsResponse getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ListModelsResponse parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ListModelsResponse(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListModelsResponse getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsResponseOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsResponseOrBuilder.java new file mode 100644 index 000000000..a3caedf68 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsResponseOrBuilder.java @@ -0,0 +1,103 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface ListModelsResponseOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ListModelsResponse) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * List of models in the requested page.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + java.util.List getModelList(); + /** + * + * + * 
+   * List of models in the requested page.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + com.google.cloud.automl.v1beta1.Model getModel(int index); + /** + * + * + * 
+   * List of models in the requested page.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + int getModelCount(); + /** + * + * + * 
+   * List of models in the requested page.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + java.util.List getModelOrBuilderList(); + /** + * + * + * 
+   * List of models in the requested page.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.Model model = 1; + */ + com.google.cloud.automl.v1beta1.ModelOrBuilder getModelOrBuilder(int index); + + /** + * + * + * 
+   * A token to retrieve next page of results.
+   * Pass to [ListModelsRequest.page_token][google.cloud.automl.v1beta1.ListModelsRequest.page_token] to obtain that page.
+   *
+ * + * string next_page_token = 2; + * + * @return The nextPageToken. + */ + java.lang.String getNextPageToken(); + /** + * + * + * 
+   * A token to retrieve next page of results.
+   * Pass to [ListModelsRequest.page_token][google.cloud.automl.v1beta1.ListModelsRequest.page_token] to obtain that page.
+   *
+ * + * string next_page_token = 2; + * + * @return The bytes for nextPageToken. + */ + com.google.protobuf.ByteString getNextPageTokenBytes(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsRequest.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsRequest.java new file mode 100644 index 000000000..1b5526138 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsRequest.java @@ -0,0 +1,1381 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ListTableSpecsRequest} + */ +public final class ListTableSpecsRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ListTableSpecsRequest) + ListTableSpecsRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use ListTableSpecsRequest.newBuilder() to construct. + private ListTableSpecsRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ListTableSpecsRequest() { + parent_ = ""; + filter_ = ""; + pageToken_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ListTableSpecsRequest(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ListTableSpecsRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + parent_ = s; + break; + } + case 18: + { + com.google.protobuf.FieldMask.Builder subBuilder = null; + if (fieldMask_ != null) { + subBuilder = fieldMask_.toBuilder(); + } + fieldMask_ = + input.readMessage(com.google.protobuf.FieldMask.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(fieldMask_); + fieldMask_ = subBuilder.buildPartial(); + } + + break; + } + case 26: + { + java.lang.String s = input.readStringRequireUtf8(); + + filter_ = s; + break; + } + case 32: + { + pageSize_ = input.readInt32(); + break; + } + case 50: + { + java.lang.String s = input.readStringRequireUtf8(); + + pageToken_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListTableSpecsRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListTableSpecsRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ListTableSpecsRequest.class, + com.google.cloud.automl.v1beta1.ListTableSpecsRequest.Builder.class); + } + + public static final int PARENT_FIELD_NUMBER = 1; + private volatile java.lang.Object parent_; + /** + * + * + * 
+   * Required. The resource name of the dataset to list table specs from.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The parent. + */ + public java.lang.String getParent() { + java.lang.Object ref = parent_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + parent_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. The resource name of the dataset to list table specs from.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for parent. + */ + public com.google.protobuf.ByteString getParentBytes() { + java.lang.Object ref = parent_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + parent_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int FIELD_MASK_FIELD_NUMBER = 2; + private com.google.protobuf.FieldMask fieldMask_; + /** + * + * + * 
+   * Mask specifying which fields to read.
+   *
+ * + * .google.protobuf.FieldMask field_mask = 2; + * + * @return Whether the fieldMask field is set. + */ + public boolean hasFieldMask() { + return fieldMask_ != null; + } + /** + * + * + * 
+   * Mask specifying which fields to read.
+   *
+ * + * .google.protobuf.FieldMask field_mask = 2; + * + * @return The fieldMask. + */ + public com.google.protobuf.FieldMask getFieldMask() { + return fieldMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : fieldMask_; + } + /** + * + * + * 
+   * Mask specifying which fields to read.
+   *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public com.google.protobuf.FieldMaskOrBuilder getFieldMaskOrBuilder() { + return getFieldMask(); + } + + public static final int FILTER_FIELD_NUMBER = 3; + private volatile java.lang.Object filter_; + /** + * + * + * 
+   * Filter expression, see go/filtering.
+   *
+ * + * string filter = 3; + * + * @return The filter. + */ + public java.lang.String getFilter() { + java.lang.Object ref = filter_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + filter_ = s; + return s; + } + } + /** + * + * + * 
+   * Filter expression, see go/filtering.
+   *
+ * + * string filter = 3; + * + * @return The bytes for filter. + */ + public com.google.protobuf.ByteString getFilterBytes() { + java.lang.Object ref = filter_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + filter_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int PAGE_SIZE_FIELD_NUMBER = 4; + private int pageSize_; + /** + * + * + * 
+   * Requested page size. The server can return fewer results than requested.
+   * If unspecified, the server will pick a default size.
+   *
+ * + * int32 page_size = 4; + * + * @return The pageSize. + */ + public int getPageSize() { + return pageSize_; + } + + public static final int PAGE_TOKEN_FIELD_NUMBER = 6; + private volatile java.lang.Object pageToken_; + /** + * + * + * 
+   * A token identifying a page of results for the server to return.
+   * Typically obtained from the
+   * [ListTableSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListTableSpecsResponse.next_page_token] field of the previous
+   * [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs] call.
+   *
+ * + * string page_token = 6; + * + * @return The pageToken. + */ + public java.lang.String getPageToken() { + java.lang.Object ref = pageToken_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + pageToken_ = s; + return s; + } + } + /** + * + * + * 
+   * A token identifying a page of results for the server to return.
+   * Typically obtained from the
+   * [ListTableSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListTableSpecsResponse.next_page_token] field of the previous
+   * [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs] call.
+   *
+ * + * string page_token = 6; + * + * @return The bytes for pageToken. + */ + public com.google.protobuf.ByteString getPageTokenBytes() { + java.lang.Object ref = pageToken_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + pageToken_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getParentBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, parent_); + } + if (fieldMask_ != null) { + output.writeMessage(2, getFieldMask()); + } + if (!getFilterBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 3, filter_); + } + if (pageSize_ != 0) { + output.writeInt32(4, pageSize_); + } + if (!getPageTokenBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 6, pageToken_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getParentBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, parent_); + } + if (fieldMask_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getFieldMask()); + } + if (!getFilterBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, filter_); + } + if (pageSize_ != 0) { + size += com.google.protobuf.CodedOutputStream.computeInt32Size(4, pageSize_); + } + if (!getPageTokenBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(6, pageToken_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ListTableSpecsRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ListTableSpecsRequest other = + (com.google.cloud.automl.v1beta1.ListTableSpecsRequest) obj; + + if (!getParent().equals(other.getParent())) return false; + if (hasFieldMask() != other.hasFieldMask()) return false; + if (hasFieldMask()) { + if (!getFieldMask().equals(other.getFieldMask())) return false; + } + if (!getFilter().equals(other.getFilter())) return false; + if (getPageSize() != other.getPageSize()) return false; + if (!getPageToken().equals(other.getPageToken())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + PARENT_FIELD_NUMBER; + hash = (53 * hash) + getParent().hashCode(); + if (hasFieldMask()) { + hash = (37 * hash) + FIELD_MASK_FIELD_NUMBER; + hash = (53 * hash) + getFieldMask().hashCode(); + } + hash = (37 * hash) + FILTER_FIELD_NUMBER; + hash = (53 * hash) + getFilter().hashCode(); + hash = (37 * hash) + PAGE_SIZE_FIELD_NUMBER; + hash = (53 * hash) + getPageSize(); + hash = (37 * hash) + PAGE_TOKEN_FIELD_NUMBER; + hash = (53 * hash) + getPageToken().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ListTableSpecsRequest parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListTableSpecsRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListTableSpecsRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListTableSpecsRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListTableSpecsRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListTableSpecsRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListTableSpecsRequest parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListTableSpecsRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListTableSpecsRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListTableSpecsRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListTableSpecsRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListTableSpecsRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ListTableSpecsRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ListTableSpecsRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ListTableSpecsRequest) + com.google.cloud.automl.v1beta1.ListTableSpecsRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListTableSpecsRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListTableSpecsRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ListTableSpecsRequest.class, + com.google.cloud.automl.v1beta1.ListTableSpecsRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.ListTableSpecsRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + parent_ = ""; + + if (fieldMaskBuilder_ == null) { + fieldMask_ = null; + } else { + fieldMask_ = null; + fieldMaskBuilder_ = null; + } + filter_ = ""; + + pageSize_ = 0; + + pageToken_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListTableSpecsRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListTableSpecsRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ListTableSpecsRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListTableSpecsRequest build() { + com.google.cloud.automl.v1beta1.ListTableSpecsRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListTableSpecsRequest buildPartial() { + com.google.cloud.automl.v1beta1.ListTableSpecsRequest result = + new com.google.cloud.automl.v1beta1.ListTableSpecsRequest(this); + result.parent_ = parent_; + if (fieldMaskBuilder_ == null) { + result.fieldMask_ = fieldMask_; + } else { + result.fieldMask_ = fieldMaskBuilder_.build(); + } + result.filter_ = filter_; + result.pageSize_ = pageSize_; + result.pageToken_ = pageToken_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ListTableSpecsRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.ListTableSpecsRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.ListTableSpecsRequest other) { + if (other == com.google.cloud.automl.v1beta1.ListTableSpecsRequest.getDefaultInstance()) + return this; + if (!other.getParent().isEmpty()) { + parent_ = other.parent_; + onChanged(); + } + if (other.hasFieldMask()) { + mergeFieldMask(other.getFieldMask()); + } + if (!other.getFilter().isEmpty()) { + filter_ = other.filter_; + onChanged(); + } + if (other.getPageSize() != 0) { + setPageSize(other.getPageSize()); + } + if (!other.getPageToken().isEmpty()) { + pageToken_ = other.pageToken_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ListTableSpecsRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ListTableSpecsRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object parent_ = ""; + /** + * + * + * 
+     * Required. The resource name of the dataset to list table specs from.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The parent. + */ + public java.lang.String getParent() { + java.lang.Object ref = parent_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + parent_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. The resource name of the dataset to list table specs from.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for parent. + */ + public com.google.protobuf.ByteString getParentBytes() { + java.lang.Object ref = parent_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + parent_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. The resource name of the dataset to list table specs from.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The parent to set. + * @return This builder for chaining. + */ + public Builder setParent(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + parent_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The resource name of the dataset to list table specs from.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return This builder for chaining. + */ + public Builder clearParent() { + + parent_ = getDefaultInstance().getParent(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The resource name of the dataset to list table specs from.
+     *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The bytes for parent to set. + * @return This builder for chaining. + */ + public Builder setParentBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + parent_ = value; + onChanged(); + return this; + } + + private com.google.protobuf.FieldMask fieldMask_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder> + fieldMaskBuilder_; + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + * + * @return Whether the fieldMask field is set. + */ + public boolean hasFieldMask() { + return fieldMaskBuilder_ != null || fieldMask_ != null; + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + * + * @return The fieldMask. + */ + public com.google.protobuf.FieldMask getFieldMask() { + if (fieldMaskBuilder_ == null) { + return fieldMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : fieldMask_; + } else { + return fieldMaskBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public Builder setFieldMask(com.google.protobuf.FieldMask value) { + if (fieldMaskBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + fieldMask_ = value; + onChanged(); + } else { + fieldMaskBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public Builder setFieldMask(com.google.protobuf.FieldMask.Builder builderForValue) { + if (fieldMaskBuilder_ == null) { + fieldMask_ = builderForValue.build(); + onChanged(); + } else { + fieldMaskBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public Builder mergeFieldMask(com.google.protobuf.FieldMask value) { + if (fieldMaskBuilder_ == null) { + if (fieldMask_ != null) { + fieldMask_ = + com.google.protobuf.FieldMask.newBuilder(fieldMask_).mergeFrom(value).buildPartial(); + } else { + fieldMask_ = value; + } + onChanged(); + } else { + fieldMaskBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public Builder clearFieldMask() { + if (fieldMaskBuilder_ == null) { + fieldMask_ = null; + onChanged(); + } else { + fieldMask_ = null; + fieldMaskBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public com.google.protobuf.FieldMask.Builder getFieldMaskBuilder() { + + onChanged(); + return getFieldMaskFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + public com.google.protobuf.FieldMaskOrBuilder getFieldMaskOrBuilder() { + if (fieldMaskBuilder_ != null) { + return fieldMaskBuilder_.getMessageOrBuilder(); + } else { + return fieldMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : fieldMask_; + } + } + /** + * + * + * 
+     * Mask specifying which fields to read.
+     *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder> + getFieldMaskFieldBuilder() { + if (fieldMaskBuilder_ == null) { + fieldMaskBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder>( + getFieldMask(), getParentForChildren(), isClean()); + fieldMask_ = null; + } + return fieldMaskBuilder_; + } + + private java.lang.Object filter_ = ""; + /** + * + * + * 
+     * Filter expression, see go/filtering.
+     *
+ * + * string filter = 3; + * + * @return The filter. + */ + public java.lang.String getFilter() { + java.lang.Object ref = filter_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + filter_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Filter expression, see go/filtering.
+     *
+ * + * string filter = 3; + * + * @return The bytes for filter. + */ + public com.google.protobuf.ByteString getFilterBytes() { + java.lang.Object ref = filter_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + filter_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Filter expression, see go/filtering.
+     *
+ * + * string filter = 3; + * + * @param value The filter to set. + * @return This builder for chaining. + */ + public Builder setFilter(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + filter_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Filter expression, see go/filtering.
+     *
+ * + * string filter = 3; + * + * @return This builder for chaining. + */ + public Builder clearFilter() { + + filter_ = getDefaultInstance().getFilter(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Filter expression, see go/filtering.
+     *
+ * + * string filter = 3; + * + * @param value The bytes for filter to set. + * @return This builder for chaining. + */ + public Builder setFilterBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + filter_ = value; + onChanged(); + return this; + } + + private int pageSize_; + /** + * + * + * 
+     * Requested page size. The server can return fewer results than requested.
+     * If unspecified, the server will pick a default size.
+     *
+ * + * int32 page_size = 4; + * + * @return The pageSize. + */ + public int getPageSize() { + return pageSize_; + } + /** + * + * + * 
+     * Requested page size. The server can return fewer results than requested.
+     * If unspecified, the server will pick a default size.
+     *
+ * + * int32 page_size = 4; + * + * @param value The pageSize to set. + * @return This builder for chaining. + */ + public Builder setPageSize(int value) { + + pageSize_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Requested page size. The server can return fewer results than requested.
+     * If unspecified, the server will pick a default size.
+     *
+ * + * int32 page_size = 4; + * + * @return This builder for chaining. + */ + public Builder clearPageSize() { + + pageSize_ = 0; + onChanged(); + return this; + } + + private java.lang.Object pageToken_ = ""; + /** + * + * + * 
+     * A token identifying a page of results for the server to return.
+     * Typically obtained from the
+     * [ListTableSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListTableSpecsResponse.next_page_token] field of the previous
+     * [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs] call.
+     *
+ * + * string page_token = 6; + * + * @return The pageToken. + */ + public java.lang.String getPageToken() { + java.lang.Object ref = pageToken_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + pageToken_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * A token identifying a page of results for the server to return.
+     * Typically obtained from the
+     * [ListTableSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListTableSpecsResponse.next_page_token] field of the previous
+     * [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs] call.
+     *
+ * + * string page_token = 6; + * + * @return The bytes for pageToken. + */ + public com.google.protobuf.ByteString getPageTokenBytes() { + java.lang.Object ref = pageToken_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + pageToken_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * A token identifying a page of results for the server to return.
+     * Typically obtained from the
+     * [ListTableSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListTableSpecsResponse.next_page_token] field of the previous
+     * [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs] call.
+     *
+ * + * string page_token = 6; + * + * @param value The pageToken to set. + * @return This builder for chaining. + */ + public Builder setPageToken(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + pageToken_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * A token identifying a page of results for the server to return.
+     * Typically obtained from the
+     * [ListTableSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListTableSpecsResponse.next_page_token] field of the previous
+     * [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs] call.
+     *
+ * + * string page_token = 6; + * + * @return This builder for chaining. + */ + public Builder clearPageToken() { + + pageToken_ = getDefaultInstance().getPageToken(); + onChanged(); + return this; + } + /** + * + * + * 
+     * A token identifying a page of results for the server to return.
+     * Typically obtained from the
+     * [ListTableSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListTableSpecsResponse.next_page_token] field of the previous
+     * [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs] call.
+     *
+ * + * string page_token = 6; + * + * @param value The bytes for pageToken to set. + * @return This builder for chaining. + */ + public Builder setPageTokenBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + pageToken_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ListTableSpecsRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ListTableSpecsRequest) + private static final com.google.cloud.automl.v1beta1.ListTableSpecsRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ListTableSpecsRequest(); + } + + public static com.google.cloud.automl.v1beta1.ListTableSpecsRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ListTableSpecsRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ListTableSpecsRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListTableSpecsRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsRequestOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsRequestOrBuilder.java new file mode 100644 index 000000000..f98028520 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsRequestOrBuilder.java @@ -0,0 +1,159 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface ListTableSpecsRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ListTableSpecsRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. The resource name of the dataset to list table specs from.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The parent. + */ + java.lang.String getParent(); + /** + * + * + * 
+   * Required. The resource name of the dataset to list table specs from.
+   *
+ * + * + * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for parent. + */ + com.google.protobuf.ByteString getParentBytes(); + + /** + * + * + * 
+   * Mask specifying which fields to read.
+   *
+ * + * .google.protobuf.FieldMask field_mask = 2; + * + * @return Whether the fieldMask field is set. + */ + boolean hasFieldMask(); + /** + * + * + * 
+   * Mask specifying which fields to read.
+   *
+ * + * .google.protobuf.FieldMask field_mask = 2; + * + * @return The fieldMask. + */ + com.google.protobuf.FieldMask getFieldMask(); + /** + * + * + * 
+   * Mask specifying which fields to read.
+   *
+ * + * .google.protobuf.FieldMask field_mask = 2; + */ + com.google.protobuf.FieldMaskOrBuilder getFieldMaskOrBuilder(); + + /** + * + * + * 
+   * Filter expression, see go/filtering.
+   *
+ * + * string filter = 3; + * + * @return The filter. + */ + java.lang.String getFilter(); + /** + * + * + * 
+   * Filter expression, see go/filtering.
+   *
+ * + * string filter = 3; + * + * @return The bytes for filter. + */ + com.google.protobuf.ByteString getFilterBytes(); + + /** + * + * + * 
+   * Requested page size. The server can return fewer results than requested.
+   * If unspecified, the server will pick a default size.
+   *
+ * + * int32 page_size = 4; + * + * @return The pageSize. + */ + int getPageSize(); + + /** + * + * + * 
+   * A token identifying a page of results for the server to return.
+   * Typically obtained from the
+   * [ListTableSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListTableSpecsResponse.next_page_token] field of the previous
+   * [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs] call.
+   *
+ * + * string page_token = 6; + * + * @return The pageToken. + */ + java.lang.String getPageToken(); + /** + * + * + * 
+   * A token identifying a page of results for the server to return.
+   * Typically obtained from the
+   * [ListTableSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListTableSpecsResponse.next_page_token] field of the previous
+   * [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs] call.
+   *
+ * + * string page_token = 6; + * + * @return The bytes for pageToken. + */ + com.google.protobuf.ByteString getPageTokenBytes(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsResponse.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsResponse.java new file mode 100644 index 000000000..cdc428272 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsResponse.java @@ -0,0 +1,1131 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Response message for [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ListTableSpecsResponse} + */ +public final class ListTableSpecsResponse extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ListTableSpecsResponse) + ListTableSpecsResponseOrBuilder { + private static final long serialVersionUID = 0L; + // Use ListTableSpecsResponse.newBuilder() to construct. + private ListTableSpecsResponse(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ListTableSpecsResponse() { + tableSpecs_ = java.util.Collections.emptyList(); + nextPageToken_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ListTableSpecsResponse(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ListTableSpecsResponse( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + tableSpecs_ = new java.util.ArrayList(); + mutable_bitField0_ |= 0x00000001; + } + tableSpecs_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.TableSpec.parser(), extensionRegistry)); + break; + } + case 18: + { + java.lang.String s = input.readStringRequireUtf8(); + + nextPageToken_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + tableSpecs_ = java.util.Collections.unmodifiableList(tableSpecs_); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListTableSpecsResponse_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListTableSpecsResponse_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ListTableSpecsResponse.class, + com.google.cloud.automl.v1beta1.ListTableSpecsResponse.Builder.class); + } + + public static final int TABLE_SPECS_FIELD_NUMBER = 1; + private java.util.List tableSpecs_; + /** + * + * + * 
+   * The table specs read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + public java.util.List getTableSpecsList() { + return tableSpecs_; + } + /** + * + * + * 
+   * The table specs read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + public java.util.List + getTableSpecsOrBuilderList() { + return tableSpecs_; + } + /** + * + * + * 
+   * The table specs read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + public int getTableSpecsCount() { + return tableSpecs_.size(); + } + /** + * + * + * 
+   * The table specs read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + public com.google.cloud.automl.v1beta1.TableSpec getTableSpecs(int index) { + return tableSpecs_.get(index); + } + /** + * + * + * 
+   * The table specs read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + public com.google.cloud.automl.v1beta1.TableSpecOrBuilder getTableSpecsOrBuilder(int index) { + return tableSpecs_.get(index); + } + + public static final int NEXT_PAGE_TOKEN_FIELD_NUMBER = 2; + private volatile java.lang.Object nextPageToken_; + /** + * + * + * 
+   * A token to retrieve next page of results.
+   * Pass to [ListTableSpecsRequest.page_token][google.cloud.automl.v1beta1.ListTableSpecsRequest.page_token] to obtain that page.
+   *
+ * + * string next_page_token = 2; + * + * @return The nextPageToken. + */ + public java.lang.String getNextPageToken() { + java.lang.Object ref = nextPageToken_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + nextPageToken_ = s; + return s; + } + } + /** + * + * + * 
+   * A token to retrieve next page of results.
+   * Pass to [ListTableSpecsRequest.page_token][google.cloud.automl.v1beta1.ListTableSpecsRequest.page_token] to obtain that page.
+   *
+ * + * string next_page_token = 2; + * + * @return The bytes for nextPageToken. + */ + public com.google.protobuf.ByteString getNextPageTokenBytes() { + java.lang.Object ref = nextPageToken_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + nextPageToken_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + for (int i = 0; i < tableSpecs_.size(); i++) { + output.writeMessage(1, tableSpecs_.get(i)); + } + if (!getNextPageTokenBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 2, nextPageToken_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + for (int i = 0; i < tableSpecs_.size(); i++) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, tableSpecs_.get(i)); + } + if (!getNextPageTokenBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, nextPageToken_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ListTableSpecsResponse)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ListTableSpecsResponse other = + (com.google.cloud.automl.v1beta1.ListTableSpecsResponse) obj; + + if (!getTableSpecsList().equals(other.getTableSpecsList())) return false; + if (!getNextPageToken().equals(other.getNextPageToken())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (getTableSpecsCount() > 0) { + hash = (37 * hash) + TABLE_SPECS_FIELD_NUMBER; + hash = (53 * hash) + getTableSpecsList().hashCode(); + } + hash = (37 * hash) + NEXT_PAGE_TOKEN_FIELD_NUMBER; + hash = (53 * hash) + getNextPageToken().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ListTableSpecsResponse parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListTableSpecsResponse parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListTableSpecsResponse parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListTableSpecsResponse parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListTableSpecsResponse parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ListTableSpecsResponse parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListTableSpecsResponse parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListTableSpecsResponse parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListTableSpecsResponse parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListTableSpecsResponse parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ListTableSpecsResponse parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ListTableSpecsResponse parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ListTableSpecsResponse prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Response message for [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ListTableSpecsResponse} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ListTableSpecsResponse) + com.google.cloud.automl.v1beta1.ListTableSpecsResponseOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListTableSpecsResponse_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListTableSpecsResponse_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ListTableSpecsResponse.class, + com.google.cloud.automl.v1beta1.ListTableSpecsResponse.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.ListTableSpecsResponse.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getTableSpecsFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (tableSpecsBuilder_ == null) { + tableSpecs_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + } else { + tableSpecsBuilder_.clear(); + } + nextPageToken_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_ListTableSpecsResponse_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListTableSpecsResponse getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ListTableSpecsResponse.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListTableSpecsResponse build() { + com.google.cloud.automl.v1beta1.ListTableSpecsResponse result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListTableSpecsResponse buildPartial() { + com.google.cloud.automl.v1beta1.ListTableSpecsResponse result = + new com.google.cloud.automl.v1beta1.ListTableSpecsResponse(this); + int from_bitField0_ = bitField0_; + if (tableSpecsBuilder_ == null) { + if (((bitField0_ & 0x00000001) != 0)) { + tableSpecs_ = java.util.Collections.unmodifiableList(tableSpecs_); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.tableSpecs_ = tableSpecs_; + } else { + result.tableSpecs_ = tableSpecsBuilder_.build(); + } + result.nextPageToken_ = nextPageToken_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ListTableSpecsResponse) { + return mergeFrom((com.google.cloud.automl.v1beta1.ListTableSpecsResponse) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.ListTableSpecsResponse other) { + if (other == com.google.cloud.automl.v1beta1.ListTableSpecsResponse.getDefaultInstance()) + return this; + if (tableSpecsBuilder_ == null) { + if (!other.tableSpecs_.isEmpty()) { + if (tableSpecs_.isEmpty()) { + tableSpecs_ = other.tableSpecs_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensureTableSpecsIsMutable(); + tableSpecs_.addAll(other.tableSpecs_); + } + onChanged(); + } + } else { + if (!other.tableSpecs_.isEmpty()) { + if (tableSpecsBuilder_.isEmpty()) { + tableSpecsBuilder_.dispose(); + tableSpecsBuilder_ = null; + tableSpecs_ = other.tableSpecs_; + bitField0_ = (bitField0_ & ~0x00000001); + tableSpecsBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getTableSpecsFieldBuilder() + : null; + } else { + tableSpecsBuilder_.addAllMessages(other.tableSpecs_); + } + } + } + if (!other.getNextPageToken().isEmpty()) { + nextPageToken_ = other.nextPageToken_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ListTableSpecsResponse parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ListTableSpecsResponse) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private java.util.List tableSpecs_ = + java.util.Collections.emptyList(); + + private void ensureTableSpecsIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + tableSpecs_ = + new java.util.ArrayList(tableSpecs_); + bitField0_ |= 0x00000001; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.TableSpec, + com.google.cloud.automl.v1beta1.TableSpec.Builder, + com.google.cloud.automl.v1beta1.TableSpecOrBuilder> + tableSpecsBuilder_; + + /** + * + * + * 
+     * The table specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + public java.util.List getTableSpecsList() { + if (tableSpecsBuilder_ == null) { + return java.util.Collections.unmodifiableList(tableSpecs_); + } else { + return tableSpecsBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * The table specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + public int getTableSpecsCount() { + if (tableSpecsBuilder_ == null) { + return tableSpecs_.size(); + } else { + return tableSpecsBuilder_.getCount(); + } + } + /** + * + * + * 
+     * The table specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + public com.google.cloud.automl.v1beta1.TableSpec getTableSpecs(int index) { + if (tableSpecsBuilder_ == null) { + return tableSpecs_.get(index); + } else { + return tableSpecsBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * The table specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + public Builder setTableSpecs(int index, com.google.cloud.automl.v1beta1.TableSpec value) { + if (tableSpecsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureTableSpecsIsMutable(); + tableSpecs_.set(index, value); + onChanged(); + } else { + tableSpecsBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * The table specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + public Builder setTableSpecs( + int index, com.google.cloud.automl.v1beta1.TableSpec.Builder builderForValue) { + if (tableSpecsBuilder_ == null) { + ensureTableSpecsIsMutable(); + tableSpecs_.set(index, builderForValue.build()); + onChanged(); + } else { + tableSpecsBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * The table specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + public Builder addTableSpecs(com.google.cloud.automl.v1beta1.TableSpec value) { + if (tableSpecsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureTableSpecsIsMutable(); + tableSpecs_.add(value); + onChanged(); + } else { + tableSpecsBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * The table specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + public Builder addTableSpecs(int index, com.google.cloud.automl.v1beta1.TableSpec value) { + if (tableSpecsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureTableSpecsIsMutable(); + tableSpecs_.add(index, value); + onChanged(); + } else { + tableSpecsBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * The table specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + public Builder addTableSpecs( + com.google.cloud.automl.v1beta1.TableSpec.Builder builderForValue) { + if (tableSpecsBuilder_ == null) { + ensureTableSpecsIsMutable(); + tableSpecs_.add(builderForValue.build()); + onChanged(); + } else { + tableSpecsBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * The table specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + public Builder addTableSpecs( + int index, com.google.cloud.automl.v1beta1.TableSpec.Builder builderForValue) { + if (tableSpecsBuilder_ == null) { + ensureTableSpecsIsMutable(); + tableSpecs_.add(index, builderForValue.build()); + onChanged(); + } else { + tableSpecsBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * The table specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + public Builder addAllTableSpecs( + java.lang.Iterable values) { + if (tableSpecsBuilder_ == null) { + ensureTableSpecsIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, tableSpecs_); + onChanged(); + } else { + tableSpecsBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * The table specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + public Builder clearTableSpecs() { + if (tableSpecsBuilder_ == null) { + tableSpecs_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + } else { + tableSpecsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * The table specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + public Builder removeTableSpecs(int index) { + if (tableSpecsBuilder_ == null) { + ensureTableSpecsIsMutable(); + tableSpecs_.remove(index); + onChanged(); + } else { + tableSpecsBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * The table specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + public com.google.cloud.automl.v1beta1.TableSpec.Builder getTableSpecsBuilder(int index) { + return getTableSpecsFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * The table specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + public com.google.cloud.automl.v1beta1.TableSpecOrBuilder getTableSpecsOrBuilder(int index) { + if (tableSpecsBuilder_ == null) { + return tableSpecs_.get(index); + } else { + return tableSpecsBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * The table specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + public java.util.List + getTableSpecsOrBuilderList() { + if (tableSpecsBuilder_ != null) { + return tableSpecsBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(tableSpecs_); + } + } + /** + * + * + * 
+     * The table specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + public com.google.cloud.automl.v1beta1.TableSpec.Builder addTableSpecsBuilder() { + return getTableSpecsFieldBuilder() + .addBuilder(com.google.cloud.automl.v1beta1.TableSpec.getDefaultInstance()); + } + /** + * + * + * 
+     * The table specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + public com.google.cloud.automl.v1beta1.TableSpec.Builder addTableSpecsBuilder(int index) { + return getTableSpecsFieldBuilder() + .addBuilder(index, com.google.cloud.automl.v1beta1.TableSpec.getDefaultInstance()); + } + /** + * + * + * 
+     * The table specs read.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + public java.util.List + getTableSpecsBuilderList() { + return getTableSpecsFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.TableSpec, + com.google.cloud.automl.v1beta1.TableSpec.Builder, + com.google.cloud.automl.v1beta1.TableSpecOrBuilder> + getTableSpecsFieldBuilder() { + if (tableSpecsBuilder_ == null) { + tableSpecsBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.TableSpec, + com.google.cloud.automl.v1beta1.TableSpec.Builder, + com.google.cloud.automl.v1beta1.TableSpecOrBuilder>( + tableSpecs_, ((bitField0_ & 0x00000001) != 0), getParentForChildren(), isClean()); + tableSpecs_ = null; + } + return tableSpecsBuilder_; + } + + private java.lang.Object nextPageToken_ = ""; + /** + * + * + * 
+     * A token to retrieve next page of results.
+     * Pass to [ListTableSpecsRequest.page_token][google.cloud.automl.v1beta1.ListTableSpecsRequest.page_token] to obtain that page.
+     *
+ * + * string next_page_token = 2; + * + * @return The nextPageToken. + */ + public java.lang.String getNextPageToken() { + java.lang.Object ref = nextPageToken_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + nextPageToken_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * A token to retrieve next page of results.
+     * Pass to [ListTableSpecsRequest.page_token][google.cloud.automl.v1beta1.ListTableSpecsRequest.page_token] to obtain that page.
+     *
+ * + * string next_page_token = 2; + * + * @return The bytes for nextPageToken. + */ + public com.google.protobuf.ByteString getNextPageTokenBytes() { + java.lang.Object ref = nextPageToken_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + nextPageToken_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * A token to retrieve next page of results.
+     * Pass to [ListTableSpecsRequest.page_token][google.cloud.automl.v1beta1.ListTableSpecsRequest.page_token] to obtain that page.
+     *
+ * + * string next_page_token = 2; + * + * @param value The nextPageToken to set. + * @return This builder for chaining. + */ + public Builder setNextPageToken(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + nextPageToken_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * A token to retrieve next page of results.
+     * Pass to [ListTableSpecsRequest.page_token][google.cloud.automl.v1beta1.ListTableSpecsRequest.page_token] to obtain that page.
+     *
+ * + * string next_page_token = 2; + * + * @return This builder for chaining. + */ + public Builder clearNextPageToken() { + + nextPageToken_ = getDefaultInstance().getNextPageToken(); + onChanged(); + return this; + } + /** + * + * + * 
+     * A token to retrieve next page of results.
+     * Pass to [ListTableSpecsRequest.page_token][google.cloud.automl.v1beta1.ListTableSpecsRequest.page_token] to obtain that page.
+     *
+ * + * string next_page_token = 2; + * + * @param value The bytes for nextPageToken to set. + * @return This builder for chaining. + */ + public Builder setNextPageTokenBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + nextPageToken_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ListTableSpecsResponse) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ListTableSpecsResponse) + private static final com.google.cloud.automl.v1beta1.ListTableSpecsResponse DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ListTableSpecsResponse(); + } + + public static com.google.cloud.automl.v1beta1.ListTableSpecsResponse getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ListTableSpecsResponse parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ListTableSpecsResponse(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ListTableSpecsResponse getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsResponseOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsResponseOrBuilder.java new file mode 100644 index 000000000..7b79bad7b --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsResponseOrBuilder.java @@ -0,0 +1,104 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface ListTableSpecsResponseOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ListTableSpecsResponse) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * The table specs read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + java.util.List getTableSpecsList(); + /** + * + * + * 
+   * The table specs read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + com.google.cloud.automl.v1beta1.TableSpec getTableSpecs(int index); + /** + * + * + * 
+   * The table specs read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + int getTableSpecsCount(); + /** + * + * + * 
+   * The table specs read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + java.util.List + getTableSpecsOrBuilderList(); + /** + * + * + * 
+   * The table specs read.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1; + */ + com.google.cloud.automl.v1beta1.TableSpecOrBuilder getTableSpecsOrBuilder(int index); + + /** + * + * + * 
+   * A token to retrieve next page of results.
+   * Pass to [ListTableSpecsRequest.page_token][google.cloud.automl.v1beta1.ListTableSpecsRequest.page_token] to obtain that page.
+   *
+ * + * string next_page_token = 2; + * + * @return The nextPageToken. + */ + java.lang.String getNextPageToken(); + /** + * + * + * 
+   * A token to retrieve next page of results.
+   * Pass to [ListTableSpecsRequest.page_token][google.cloud.automl.v1beta1.ListTableSpecsRequest.page_token] to obtain that page.
+   *
+ * + * string next_page_token = 2; + * + * @return The bytes for nextPageToken. + */ + com.google.protobuf.ByteString getNextPageTokenBytes(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/LocationName.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/LocationName.java new file mode 100644 index 000000000..0adf75f67 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/LocationName.java @@ -0,0 +1,182 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package com.google.cloud.automl.v1beta1; + +import com.google.api.pathtemplate.PathTemplate; +import com.google.api.resourcenames.ResourceName; +import com.google.common.base.Preconditions; +import com.google.common.collect.ImmutableMap; +import java.util.ArrayList; +import java.util.List; +import java.util.Map; + +/** AUTO-GENERATED DOCUMENTATION AND CLASS */ +@javax.annotation.Generated("by GAPIC protoc plugin") +public class LocationName implements ResourceName { + + private static final PathTemplate PATH_TEMPLATE = + PathTemplate.createWithoutUrlEncoding("projects/{project}/locations/{location}"); + + private volatile Map fieldValuesMap; + + private final String project; + private final String location; + + public String getProject() { + return project; + } + + public String getLocation() { + return location; + } + + public static Builder newBuilder() { + return new Builder(); + } + + public Builder toBuilder() { + return new Builder(this); + } + + private LocationName(Builder builder) { + project = Preconditions.checkNotNull(builder.getProject()); + location = Preconditions.checkNotNull(builder.getLocation()); + } + + public static LocationName of(String project, String location) { + return newBuilder().setProject(project).setLocation(location).build(); + } + + public static String format(String project, String location) { + return newBuilder().setProject(project).setLocation(location).build().toString(); + } + + public static LocationName parse(String formattedString) { + if (formattedString.isEmpty()) { + return null; + } + Map matchMap = + PATH_TEMPLATE.validatedMatch( + formattedString, "LocationName.parse: formattedString not in valid format"); + return of(matchMap.get("project"), matchMap.get("location")); + } + + public static List parseList(List formattedStrings) { + List list = new ArrayList<>(formattedStrings.size()); + for (String formattedString : formattedStrings) { + list.add(parse(formattedString)); + } + return list; + } + + public static List toStringList(List values) { + List list = new ArrayList(values.size()); + for (LocationName value : values) { + if (value == null) { + list.add(""); + } else { + list.add(value.toString()); + } + } + return list; + } + + public static boolean isParsableFrom(String formattedString) { + return PATH_TEMPLATE.matches(formattedString); + } + + public Map getFieldValuesMap() { + if (fieldValuesMap == null) { + synchronized (this) { + if (fieldValuesMap == null) { + ImmutableMap.Builder fieldMapBuilder = ImmutableMap.builder(); + fieldMapBuilder.put("project", project); + fieldMapBuilder.put("location", location); + fieldValuesMap = fieldMapBuilder.build(); + } + } + } + return fieldValuesMap; + } + + public String getFieldValue(String fieldName) { + return getFieldValuesMap().get(fieldName); + } + + @Override + public String toString() { + return PATH_TEMPLATE.instantiate("project", project, "location", location); + } + + /** Builder for LocationName. */ + public static class Builder { + + private String project; + private String location; + + public String getProject() { + return project; + } + + public String getLocation() { + return location; + } + + public Builder setProject(String project) { + this.project = project; + return this; + } + + public Builder setLocation(String location) { + this.location = location; + return this; + } + + private Builder() {} + + private Builder(LocationName locationName) { + project = locationName.project; + location = locationName.location; + } + + public LocationName build() { + return new LocationName(this); + } + } + + @Override + public boolean equals(Object o) { + if (o == this) { + return true; + } + if (o instanceof LocationName) { + LocationName that = (LocationName) o; + return (this.project.equals(that.project)) && (this.location.equals(that.location)); + } + return false; + } + + @Override + public int hashCode() { + int h = 1; + h *= 1000003; + h ^= project.hashCode(); + h *= 1000003; + h ^= location.hashCode(); + return h; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Model.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Model.java new file mode 100644 index 000000000..1ddba45eb --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Model.java @@ -0,0 +1,4997 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/model.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * API proto representing a trained machine learning model.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.Model} + */ +public final class Model extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.Model) + ModelOrBuilder { + private static final long serialVersionUID = 0L; + // Use Model.newBuilder() to construct. + private Model(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private Model() { + name_ = ""; + displayName_ = ""; + datasetId_ = ""; + deploymentState_ = 0; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new Model(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private Model( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + name_ = s; + break; + } + case 18: + { + java.lang.String s = input.readStringRequireUtf8(); + + displayName_ = s; + break; + } + case 26: + { + java.lang.String s = input.readStringRequireUtf8(); + + datasetId_ = s; + break; + } + case 58: + { + com.google.protobuf.Timestamp.Builder subBuilder = null; + if (createTime_ != null) { + subBuilder = createTime_.toBuilder(); + } + createTime_ = + input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(createTime_); + createTime_ = subBuilder.buildPartial(); + } + + break; + } + case 64: + { + int rawValue = input.readEnum(); + + deploymentState_ = rawValue; + break; + } + case 90: + { + com.google.protobuf.Timestamp.Builder subBuilder = null; + if (updateTime_ != null) { + subBuilder = updateTime_.toBuilder(); + } + updateTime_ = + input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(updateTime_); + updateTime_ = subBuilder.buildPartial(); + } + + break; + } + case 106: + { + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.Builder subBuilder = + null; + if (modelMetadataCase_ == 13) { + subBuilder = + ((com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata) + modelMetadata_) + .toBuilder(); + } + modelMetadata_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata) + modelMetadata_); + modelMetadata_ = subBuilder.buildPartial(); + } + modelMetadataCase_ = 13; + break; + } + case 114: + { + com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.Builder subBuilder = + null; + if (modelMetadataCase_ == 14) { + subBuilder = + ((com.google.cloud.automl.v1beta1.TextClassificationModelMetadata) + modelMetadata_) + .toBuilder(); + } + modelMetadata_ = + input.readMessage( + com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.TextClassificationModelMetadata) + modelMetadata_); + modelMetadata_ = subBuilder.buildPartial(); + } + modelMetadataCase_ = 14; + break; + } + case 122: + { + com.google.cloud.automl.v1beta1.TranslationModelMetadata.Builder subBuilder = null; + if (modelMetadataCase_ == 15) { + subBuilder = + ((com.google.cloud.automl.v1beta1.TranslationModelMetadata) modelMetadata_) + .toBuilder(); + } + modelMetadata_ = + input.readMessage( + com.google.cloud.automl.v1beta1.TranslationModelMetadata.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.TranslationModelMetadata) modelMetadata_); + modelMetadata_ = subBuilder.buildPartial(); + } + modelMetadataCase_ = 15; + break; + } + case 154: + { + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.Builder subBuilder = null; + if (modelMetadataCase_ == 19) { + subBuilder = + ((com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) modelMetadata_) + .toBuilder(); + } + modelMetadata_ = + input.readMessage( + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) modelMetadata_); + modelMetadata_ = subBuilder.buildPartial(); + } + modelMetadataCase_ = 19; + break; + } + case 162: + { + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.Builder subBuilder = + null; + if (modelMetadataCase_ == 20) { + subBuilder = + ((com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) + modelMetadata_) + .toBuilder(); + } + modelMetadata_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) + modelMetadata_); + modelMetadata_ = subBuilder.buildPartial(); + } + modelMetadataCase_ = 20; + break; + } + case 170: + { + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata.Builder subBuilder = + null; + if (modelMetadataCase_ == 21) { + subBuilder = + ((com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata) + modelMetadata_) + .toBuilder(); + } + modelMetadata_ = + input.readMessage( + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata) + modelMetadata_); + modelMetadata_ = subBuilder.buildPartial(); + } + modelMetadataCase_ = 21; + break; + } + case 178: + { + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.Builder subBuilder = null; + if (modelMetadataCase_ == 22) { + subBuilder = + ((com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) modelMetadata_) + .toBuilder(); + } + modelMetadata_ = + input.readMessage( + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) modelMetadata_); + modelMetadata_ = subBuilder.buildPartial(); + } + modelMetadataCase_ = 22; + break; + } + case 186: + { + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.Builder subBuilder = + null; + if (modelMetadataCase_ == 23) { + subBuilder = + ((com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata) + modelMetadata_) + .toBuilder(); + } + modelMetadata_ = + input.readMessage( + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata) + modelMetadata_); + modelMetadata_ = subBuilder.buildPartial(); + } + modelMetadataCase_ = 23; + break; + } + case 194: + { + com.google.cloud.automl.v1beta1.TablesModelMetadata.Builder subBuilder = null; + if (modelMetadataCase_ == 24) { + subBuilder = + ((com.google.cloud.automl.v1beta1.TablesModelMetadata) modelMetadata_) + .toBuilder(); + } + modelMetadata_ = + input.readMessage( + com.google.cloud.automl.v1beta1.TablesModelMetadata.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.TablesModelMetadata) modelMetadata_); + modelMetadata_ = subBuilder.buildPartial(); + } + modelMetadataCase_ = 24; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ModelOuterClass + .internal_static_google_cloud_automl_v1beta1_Model_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ModelOuterClass + .internal_static_google_cloud_automl_v1beta1_Model_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.Model.class, + com.google.cloud.automl.v1beta1.Model.Builder.class); + } + + /** + * + * + * 
+   * Deployment state of the model.
+   *
+ * + * Protobuf enum {@code google.cloud.automl.v1beta1.Model.DeploymentState} + */ + public enum DeploymentState implements com.google.protobuf.ProtocolMessageEnum { + /** + * + * + * 
+     * Should not be used, an un-set enum has this value by default.
+     *
+ * + * DEPLOYMENT_STATE_UNSPECIFIED = 0; + */ + DEPLOYMENT_STATE_UNSPECIFIED(0), + /** + * + * + * 
+     * Model is deployed.
+     *
+ * + * DEPLOYED = 1; + */ + DEPLOYED(1), + /** + * + * + * 
+     * Model is not deployed.
+     *
+ * + * UNDEPLOYED = 2; + */ + UNDEPLOYED(2), + UNRECOGNIZED(-1), + ; + + /** + * + * + * 
+     * Should not be used, an un-set enum has this value by default.
+     *
+ * + * DEPLOYMENT_STATE_UNSPECIFIED = 0; + */ + public static final int DEPLOYMENT_STATE_UNSPECIFIED_VALUE = 0; + /** + * + * + * 
+     * Model is deployed.
+     *
+ * + * DEPLOYED = 1; + */ + public static final int DEPLOYED_VALUE = 1; + /** + * + * + * 
+     * Model is not deployed.
+     *
+ * + * UNDEPLOYED = 2; + */ + public static final int UNDEPLOYED_VALUE = 2; + + public final int getNumber() { + if (this == UNRECOGNIZED) { + throw new java.lang.IllegalArgumentException( + "Can't get the number of an unknown enum value."); + } + return value; + } + + /** + * @param value The numeric wire value of the corresponding enum entry. + * @return The enum associated with the given numeric wire value. + * @deprecated Use {@link #forNumber(int)} instead. + */ + @java.lang.Deprecated + public static DeploymentState valueOf(int value) { + return forNumber(value); + } + + /** + * @param value The numeric wire value of the corresponding enum entry. + * @return The enum associated with the given numeric wire value. + */ + public static DeploymentState forNumber(int value) { + switch (value) { + case 0: + return DEPLOYMENT_STATE_UNSPECIFIED; + case 1: + return DEPLOYED; + case 2: + return UNDEPLOYED; + default: + return null; + } + } + + public static com.google.protobuf.Internal.EnumLiteMap internalGetValueMap() { + return internalValueMap; + } + + private static final com.google.protobuf.Internal.EnumLiteMap + internalValueMap = + new com.google.protobuf.Internal.EnumLiteMap() { + public DeploymentState findValueByNumber(int number) { + return DeploymentState.forNumber(number); + } + }; + + public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() { + return getDescriptor().getValues().get(ordinal()); + } + + public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() { + return getDescriptor(); + } + + public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Model.getDescriptor().getEnumTypes().get(0); + } + + private static final DeploymentState[] VALUES = values(); + + public static DeploymentState valueOf( + com.google.protobuf.Descriptors.EnumValueDescriptor desc) { + if (desc.getType() != getDescriptor()) { + throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type."); + } + if (desc.getIndex() == -1) { + return UNRECOGNIZED; + } + return VALUES[desc.getIndex()]; + } + + private final int value; + + private DeploymentState(int value) { + this.value = value; + } + + // @@protoc_insertion_point(enum_scope:google.cloud.automl.v1beta1.Model.DeploymentState) + } + + private int modelMetadataCase_ = 0; + private java.lang.Object modelMetadata_; + + public enum ModelMetadataCase + implements + com.google.protobuf.Internal.EnumLite, + com.google.protobuf.AbstractMessage.InternalOneOfEnum { + TRANSLATION_MODEL_METADATA(15), + IMAGE_CLASSIFICATION_MODEL_METADATA(13), + TEXT_CLASSIFICATION_MODEL_METADATA(14), + IMAGE_OBJECT_DETECTION_MODEL_METADATA(20), + VIDEO_CLASSIFICATION_MODEL_METADATA(23), + VIDEO_OBJECT_TRACKING_MODEL_METADATA(21), + TEXT_EXTRACTION_MODEL_METADATA(19), + TABLES_MODEL_METADATA(24), + TEXT_SENTIMENT_MODEL_METADATA(22), + MODELMETADATA_NOT_SET(0); + private final int value; + + private ModelMetadataCase(int value) { + this.value = value; + } + /** + * @param value The number of the enum to look for. + * @return The enum associated with the given number. + * @deprecated Use {@link #forNumber(int)} instead. + */ + @java.lang.Deprecated + public static ModelMetadataCase valueOf(int value) { + return forNumber(value); + } + + public static ModelMetadataCase forNumber(int value) { + switch (value) { + case 15: + return TRANSLATION_MODEL_METADATA; + case 13: + return IMAGE_CLASSIFICATION_MODEL_METADATA; + case 14: + return TEXT_CLASSIFICATION_MODEL_METADATA; + case 20: + return IMAGE_OBJECT_DETECTION_MODEL_METADATA; + case 23: + return VIDEO_CLASSIFICATION_MODEL_METADATA; + case 21: + return VIDEO_OBJECT_TRACKING_MODEL_METADATA; + case 19: + return TEXT_EXTRACTION_MODEL_METADATA; + case 24: + return TABLES_MODEL_METADATA; + case 22: + return TEXT_SENTIMENT_MODEL_METADATA; + case 0: + return MODELMETADATA_NOT_SET; + default: + return null; + } + } + + public int getNumber() { + return this.value; + } + }; + + public ModelMetadataCase getModelMetadataCase() { + return ModelMetadataCase.forNumber(modelMetadataCase_); + } + + public static final int TRANSLATION_MODEL_METADATA_FIELD_NUMBER = 15; + /** + * + * + * 
+   * Metadata for translation models.
+   *
+ * + * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15; + * + * + * @return Whether the translationModelMetadata field is set. + */ + public boolean hasTranslationModelMetadata() { + return modelMetadataCase_ == 15; + } + /** + * + * + * 
+   * Metadata for translation models.
+   *
+ * + * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15; + * + * + * @return The translationModelMetadata. + */ + public com.google.cloud.automl.v1beta1.TranslationModelMetadata getTranslationModelMetadata() { + if (modelMetadataCase_ == 15) { + return (com.google.cloud.automl.v1beta1.TranslationModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.TranslationModelMetadata.getDefaultInstance(); + } + /** + * + * + * 
+   * Metadata for translation models.
+   *
+ * + * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15; + * + */ + public com.google.cloud.automl.v1beta1.TranslationModelMetadataOrBuilder + getTranslationModelMetadataOrBuilder() { + if (modelMetadataCase_ == 15) { + return (com.google.cloud.automl.v1beta1.TranslationModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.TranslationModelMetadata.getDefaultInstance(); + } + + public static final int IMAGE_CLASSIFICATION_MODEL_METADATA_FIELD_NUMBER = 13; + /** + * + * + * 
+   * Metadata for image classification models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13; + * + * + * @return Whether the imageClassificationModelMetadata field is set. + */ + public boolean hasImageClassificationModelMetadata() { + return modelMetadataCase_ == 13; + } + /** + * + * + * 
+   * Metadata for image classification models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13; + * + * + * @return The imageClassificationModelMetadata. + */ + public com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata + getImageClassificationModelMetadata() { + if (modelMetadataCase_ == 13) { + return (com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.getDefaultInstance(); + } + /** + * + * + * 
+   * Metadata for image classification models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13; + * + */ + public com.google.cloud.automl.v1beta1.ImageClassificationModelMetadataOrBuilder + getImageClassificationModelMetadataOrBuilder() { + if (modelMetadataCase_ == 13) { + return (com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.getDefaultInstance(); + } + + public static final int TEXT_CLASSIFICATION_MODEL_METADATA_FIELD_NUMBER = 14; + /** + * + * + * 
+   * Metadata for text classification models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14; + * + * + * @return Whether the textClassificationModelMetadata field is set. + */ + public boolean hasTextClassificationModelMetadata() { + return modelMetadataCase_ == 14; + } + /** + * + * + * 
+   * Metadata for text classification models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14; + * + * + * @return The textClassificationModelMetadata. + */ + public com.google.cloud.automl.v1beta1.TextClassificationModelMetadata + getTextClassificationModelMetadata() { + if (modelMetadataCase_ == 14) { + return (com.google.cloud.automl.v1beta1.TextClassificationModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.getDefaultInstance(); + } + /** + * + * + * 
+   * Metadata for text classification models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14; + * + */ + public com.google.cloud.automl.v1beta1.TextClassificationModelMetadataOrBuilder + getTextClassificationModelMetadataOrBuilder() { + if (modelMetadataCase_ == 14) { + return (com.google.cloud.automl.v1beta1.TextClassificationModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.getDefaultInstance(); + } + + public static final int IMAGE_OBJECT_DETECTION_MODEL_METADATA_FIELD_NUMBER = 20; + /** + * + * + * 
+   * Metadata for image object detection models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20; + * + * + * @return Whether the imageObjectDetectionModelMetadata field is set. + */ + public boolean hasImageObjectDetectionModelMetadata() { + return modelMetadataCase_ == 20; + } + /** + * + * + * 
+   * Metadata for image object detection models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20; + * + * + * @return The imageObjectDetectionModelMetadata. + */ + public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata + getImageObjectDetectionModelMetadata() { + if (modelMetadataCase_ == 20) { + return (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.getDefaultInstance(); + } + /** + * + * + * 
+   * Metadata for image object detection models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20; + * + */ + public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadataOrBuilder + getImageObjectDetectionModelMetadataOrBuilder() { + if (modelMetadataCase_ == 20) { + return (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.getDefaultInstance(); + } + + public static final int VIDEO_CLASSIFICATION_MODEL_METADATA_FIELD_NUMBER = 23; + /** + * + * + * 
+   * Metadata for video classification models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23; + * + * + * @return Whether the videoClassificationModelMetadata field is set. + */ + public boolean hasVideoClassificationModelMetadata() { + return modelMetadataCase_ == 23; + } + /** + * + * + * 
+   * Metadata for video classification models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23; + * + * + * @return The videoClassificationModelMetadata. + */ + public com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata + getVideoClassificationModelMetadata() { + if (modelMetadataCase_ == 23) { + return (com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.getDefaultInstance(); + } + /** + * + * + * 
+   * Metadata for video classification models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23; + * + */ + public com.google.cloud.automl.v1beta1.VideoClassificationModelMetadataOrBuilder + getVideoClassificationModelMetadataOrBuilder() { + if (modelMetadataCase_ == 23) { + return (com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.getDefaultInstance(); + } + + public static final int VIDEO_OBJECT_TRACKING_MODEL_METADATA_FIELD_NUMBER = 21; + /** + * + * + * 
+   * Metadata for video object tracking models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata video_object_tracking_model_metadata = 21; + * + * + * @return Whether the videoObjectTrackingModelMetadata field is set. + */ + public boolean hasVideoObjectTrackingModelMetadata() { + return modelMetadataCase_ == 21; + } + /** + * + * + * 
+   * Metadata for video object tracking models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata video_object_tracking_model_metadata = 21; + * + * + * @return The videoObjectTrackingModelMetadata. + */ + public com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata + getVideoObjectTrackingModelMetadata() { + if (modelMetadataCase_ == 21) { + return (com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata.getDefaultInstance(); + } + /** + * + * + * 
+   * Metadata for video object tracking models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata video_object_tracking_model_metadata = 21; + * + */ + public com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadataOrBuilder + getVideoObjectTrackingModelMetadataOrBuilder() { + if (modelMetadataCase_ == 21) { + return (com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata.getDefaultInstance(); + } + + public static final int TEXT_EXTRACTION_MODEL_METADATA_FIELD_NUMBER = 19; + /** + * + * + * 
+   * Metadata for text extraction models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19; + * + * + * @return Whether the textExtractionModelMetadata field is set. + */ + public boolean hasTextExtractionModelMetadata() { + return modelMetadataCase_ == 19; + } + /** + * + * + * 
+   * Metadata for text extraction models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19; + * + * + * @return The textExtractionModelMetadata. + */ + public com.google.cloud.automl.v1beta1.TextExtractionModelMetadata + getTextExtractionModelMetadata() { + if (modelMetadataCase_ == 19) { + return (com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.getDefaultInstance(); + } + /** + * + * + * 
+   * Metadata for text extraction models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19; + * + */ + public com.google.cloud.automl.v1beta1.TextExtractionModelMetadataOrBuilder + getTextExtractionModelMetadataOrBuilder() { + if (modelMetadataCase_ == 19) { + return (com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.getDefaultInstance(); + } + + public static final int TABLES_MODEL_METADATA_FIELD_NUMBER = 24; + /** + * + * + * 
+   * Metadata for Tables models.
+   *
+ * + * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24; + * + * @return Whether the tablesModelMetadata field is set. + */ + public boolean hasTablesModelMetadata() { + return modelMetadataCase_ == 24; + } + /** + * + * + * 
+   * Metadata for Tables models.
+   *
+ * + * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24; + * + * @return The tablesModelMetadata. + */ + public com.google.cloud.automl.v1beta1.TablesModelMetadata getTablesModelMetadata() { + if (modelMetadataCase_ == 24) { + return (com.google.cloud.automl.v1beta1.TablesModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.TablesModelMetadata.getDefaultInstance(); + } + /** + * + * + * 
+   * Metadata for Tables models.
+   *
+ * + * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24; + */ + public com.google.cloud.automl.v1beta1.TablesModelMetadataOrBuilder + getTablesModelMetadataOrBuilder() { + if (modelMetadataCase_ == 24) { + return (com.google.cloud.automl.v1beta1.TablesModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.TablesModelMetadata.getDefaultInstance(); + } + + public static final int TEXT_SENTIMENT_MODEL_METADATA_FIELD_NUMBER = 22; + /** + * + * + * 
+   * Metadata for text sentiment models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22; + * + * + * @return Whether the textSentimentModelMetadata field is set. + */ + public boolean hasTextSentimentModelMetadata() { + return modelMetadataCase_ == 22; + } + /** + * + * + * 
+   * Metadata for text sentiment models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22; + * + * + * @return The textSentimentModelMetadata. + */ + public com.google.cloud.automl.v1beta1.TextSentimentModelMetadata + getTextSentimentModelMetadata() { + if (modelMetadataCase_ == 22) { + return (com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.getDefaultInstance(); + } + /** + * + * + * 
+   * Metadata for text sentiment models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22; + * + */ + public com.google.cloud.automl.v1beta1.TextSentimentModelMetadataOrBuilder + getTextSentimentModelMetadataOrBuilder() { + if (modelMetadataCase_ == 22) { + return (com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.getDefaultInstance(); + } + + public static final int NAME_FIELD_NUMBER = 1; + private volatile java.lang.Object name_; + /** + * + * + * 
+   * Output only. Resource name of the model.
+   * Format: `projects/{project_id}/locations/{location_id}/models/{model_id}`
+   *
+ * + * string name = 1; + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } + } + /** + * + * + * 
+   * Output only. Resource name of the model.
+   * Format: `projects/{project_id}/locations/{location_id}/models/{model_id}`
+   *
+ * + * string name = 1; + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int DISPLAY_NAME_FIELD_NUMBER = 2; + private volatile java.lang.Object displayName_; + /** + * + * + * 
+   * Required. The name of the model to show in the interface. The name can be
+   * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+   * and a-z, underscores
+   * (_), and ASCII digits 0-9. It must start with a letter.
+   *
+ * + * string display_name = 2; + * + * @return The displayName. + */ + public java.lang.String getDisplayName() { + java.lang.Object ref = displayName_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + displayName_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. The name of the model to show in the interface. The name can be
+   * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+   * and a-z, underscores
+   * (_), and ASCII digits 0-9. It must start with a letter.
+   *
+ * + * string display_name = 2; + * + * @return The bytes for displayName. + */ + public com.google.protobuf.ByteString getDisplayNameBytes() { + java.lang.Object ref = displayName_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + displayName_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int DATASET_ID_FIELD_NUMBER = 3; + private volatile java.lang.Object datasetId_; + /** + * + * + * 
+   * Required. The resource ID of the dataset used to create the model. The dataset must
+   * come from the same ancestor project and location.
+   *
+ * + * string dataset_id = 3; + * + * @return The datasetId. + */ + public java.lang.String getDatasetId() { + java.lang.Object ref = datasetId_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + datasetId_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. The resource ID of the dataset used to create the model. The dataset must
+   * come from the same ancestor project and location.
+   *
+ * + * string dataset_id = 3; + * + * @return The bytes for datasetId. + */ + public com.google.protobuf.ByteString getDatasetIdBytes() { + java.lang.Object ref = datasetId_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + datasetId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int CREATE_TIME_FIELD_NUMBER = 7; + private com.google.protobuf.Timestamp createTime_; + /** + * + * + * 
+   * Output only. Timestamp when the model training finished  and can be used for prediction.
+   *
+ * + * .google.protobuf.Timestamp create_time = 7; + * + * @return Whether the createTime field is set. + */ + public boolean hasCreateTime() { + return createTime_ != null; + } + /** + * + * + * 
+   * Output only. Timestamp when the model training finished  and can be used for prediction.
+   *
+ * + * .google.protobuf.Timestamp create_time = 7; + * + * @return The createTime. + */ + public com.google.protobuf.Timestamp getCreateTime() { + return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_; + } + /** + * + * + * 
+   * Output only. Timestamp when the model training finished  and can be used for prediction.
+   *
+ * + * .google.protobuf.Timestamp create_time = 7; + */ + public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() { + return getCreateTime(); + } + + public static final int UPDATE_TIME_FIELD_NUMBER = 11; + private com.google.protobuf.Timestamp updateTime_; + /** + * + * + * 
+   * Output only. Timestamp when this model was last updated.
+   *
+ * + * .google.protobuf.Timestamp update_time = 11; + * + * @return Whether the updateTime field is set. + */ + public boolean hasUpdateTime() { + return updateTime_ != null; + } + /** + * + * + * 
+   * Output only. Timestamp when this model was last updated.
+   *
+ * + * .google.protobuf.Timestamp update_time = 11; + * + * @return The updateTime. + */ + public com.google.protobuf.Timestamp getUpdateTime() { + return updateTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : updateTime_; + } + /** + * + * + * 
+   * Output only. Timestamp when this model was last updated.
+   *
+ * + * .google.protobuf.Timestamp update_time = 11; + */ + public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() { + return getUpdateTime(); + } + + public static final int DEPLOYMENT_STATE_FIELD_NUMBER = 8; + private int deploymentState_; + /** + * + * + * 
+   * Output only. Deployment state of the model. A model can only serve
+   * prediction requests after it gets deployed.
+   *
+ * + * .google.cloud.automl.v1beta1.Model.DeploymentState deployment_state = 8; + * + * @return The enum numeric value on the wire for deploymentState. + */ + public int getDeploymentStateValue() { + return deploymentState_; + } + /** + * + * + * 
+   * Output only. Deployment state of the model. A model can only serve
+   * prediction requests after it gets deployed.
+   *
+ * + * .google.cloud.automl.v1beta1.Model.DeploymentState deployment_state = 8; + * + * @return The deploymentState. + */ + public com.google.cloud.automl.v1beta1.Model.DeploymentState getDeploymentState() { + @SuppressWarnings("deprecation") + com.google.cloud.automl.v1beta1.Model.DeploymentState result = + com.google.cloud.automl.v1beta1.Model.DeploymentState.valueOf(deploymentState_); + return result == null + ? com.google.cloud.automl.v1beta1.Model.DeploymentState.UNRECOGNIZED + : result; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_); + } + if (!getDisplayNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 2, displayName_); + } + if (!getDatasetIdBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 3, datasetId_); + } + if (createTime_ != null) { + output.writeMessage(7, getCreateTime()); + } + if (deploymentState_ + != com.google.cloud.automl.v1beta1.Model.DeploymentState.DEPLOYMENT_STATE_UNSPECIFIED + .getNumber()) { + output.writeEnum(8, deploymentState_); + } + if (updateTime_ != null) { + output.writeMessage(11, getUpdateTime()); + } + if (modelMetadataCase_ == 13) { + output.writeMessage( + 13, (com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata) modelMetadata_); + } + if (modelMetadataCase_ == 14) { + output.writeMessage( + 14, (com.google.cloud.automl.v1beta1.TextClassificationModelMetadata) modelMetadata_); + } + if (modelMetadataCase_ == 15) { + output.writeMessage( + 15, (com.google.cloud.automl.v1beta1.TranslationModelMetadata) modelMetadata_); + } + if (modelMetadataCase_ == 19) { + output.writeMessage( + 19, (com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) modelMetadata_); + } + if (modelMetadataCase_ == 20) { + output.writeMessage( + 20, (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) modelMetadata_); + } + if (modelMetadataCase_ == 21) { + output.writeMessage( + 21, (com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata) modelMetadata_); + } + if (modelMetadataCase_ == 22) { + output.writeMessage( + 22, (com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) modelMetadata_); + } + if (modelMetadataCase_ == 23) { + output.writeMessage( + 23, (com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata) modelMetadata_); + } + if (modelMetadataCase_ == 24) { + output.writeMessage(24, (com.google.cloud.automl.v1beta1.TablesModelMetadata) modelMetadata_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_); + } + if (!getDisplayNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, displayName_); + } + if (!getDatasetIdBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, datasetId_); + } + if (createTime_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(7, getCreateTime()); + } + if (deploymentState_ + != com.google.cloud.automl.v1beta1.Model.DeploymentState.DEPLOYMENT_STATE_UNSPECIFIED + .getNumber()) { + size += com.google.protobuf.CodedOutputStream.computeEnumSize(8, deploymentState_); + } + if (updateTime_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(11, getUpdateTime()); + } + if (modelMetadataCase_ == 13) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 13, + (com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata) modelMetadata_); + } + if (modelMetadataCase_ == 14) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 14, (com.google.cloud.automl.v1beta1.TextClassificationModelMetadata) modelMetadata_); + } + if (modelMetadataCase_ == 15) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 15, (com.google.cloud.automl.v1beta1.TranslationModelMetadata) modelMetadata_); + } + if (modelMetadataCase_ == 19) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 19, (com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) modelMetadata_); + } + if (modelMetadataCase_ == 20) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 20, + (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) modelMetadata_); + } + if (modelMetadataCase_ == 21) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 21, + (com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata) modelMetadata_); + } + if (modelMetadataCase_ == 22) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 22, (com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) modelMetadata_); + } + if (modelMetadataCase_ == 23) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 23, + (com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata) modelMetadata_); + } + if (modelMetadataCase_ == 24) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 24, (com.google.cloud.automl.v1beta1.TablesModelMetadata) modelMetadata_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.Model)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.Model other = (com.google.cloud.automl.v1beta1.Model) obj; + + if (!getName().equals(other.getName())) return false; + if (!getDisplayName().equals(other.getDisplayName())) return false; + if (!getDatasetId().equals(other.getDatasetId())) return false; + if (hasCreateTime() != other.hasCreateTime()) return false; + if (hasCreateTime()) { + if (!getCreateTime().equals(other.getCreateTime())) return false; + } + if (hasUpdateTime() != other.hasUpdateTime()) return false; + if (hasUpdateTime()) { + if (!getUpdateTime().equals(other.getUpdateTime())) return false; + } + if (deploymentState_ != other.deploymentState_) return false; + if (!getModelMetadataCase().equals(other.getModelMetadataCase())) return false; + switch (modelMetadataCase_) { + case 15: + if (!getTranslationModelMetadata().equals(other.getTranslationModelMetadata())) + return false; + break; + case 13: + if (!getImageClassificationModelMetadata() + .equals(other.getImageClassificationModelMetadata())) return false; + break; + case 14: + if (!getTextClassificationModelMetadata() + .equals(other.getTextClassificationModelMetadata())) return false; + break; + case 20: + if (!getImageObjectDetectionModelMetadata() + .equals(other.getImageObjectDetectionModelMetadata())) return false; + break; + case 23: + if (!getVideoClassificationModelMetadata() + .equals(other.getVideoClassificationModelMetadata())) return false; + break; + case 21: + if (!getVideoObjectTrackingModelMetadata() + .equals(other.getVideoObjectTrackingModelMetadata())) return false; + break; + case 19: + if (!getTextExtractionModelMetadata().equals(other.getTextExtractionModelMetadata())) + return false; + break; + case 24: + if (!getTablesModelMetadata().equals(other.getTablesModelMetadata())) return false; + break; + case 22: + if (!getTextSentimentModelMetadata().equals(other.getTextSentimentModelMetadata())) + return false; + break; + case 0: + default: + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + NAME_FIELD_NUMBER; + hash = (53 * hash) + getName().hashCode(); + hash = (37 * hash) + DISPLAY_NAME_FIELD_NUMBER; + hash = (53 * hash) + getDisplayName().hashCode(); + hash = (37 * hash) + DATASET_ID_FIELD_NUMBER; + hash = (53 * hash) + getDatasetId().hashCode(); + if (hasCreateTime()) { + hash = (37 * hash) + CREATE_TIME_FIELD_NUMBER; + hash = (53 * hash) + getCreateTime().hashCode(); + } + if (hasUpdateTime()) { + hash = (37 * hash) + UPDATE_TIME_FIELD_NUMBER; + hash = (53 * hash) + getUpdateTime().hashCode(); + } + hash = (37 * hash) + DEPLOYMENT_STATE_FIELD_NUMBER; + hash = (53 * hash) + deploymentState_; + switch (modelMetadataCase_) { + case 15: + hash = (37 * hash) + TRANSLATION_MODEL_METADATA_FIELD_NUMBER; + hash = (53 * hash) + getTranslationModelMetadata().hashCode(); + break; + case 13: + hash = (37 * hash) + IMAGE_CLASSIFICATION_MODEL_METADATA_FIELD_NUMBER; + hash = (53 * hash) + getImageClassificationModelMetadata().hashCode(); + break; + case 14: + hash = (37 * hash) + TEXT_CLASSIFICATION_MODEL_METADATA_FIELD_NUMBER; + hash = (53 * hash) + getTextClassificationModelMetadata().hashCode(); + break; + case 20: + hash = (37 * hash) + IMAGE_OBJECT_DETECTION_MODEL_METADATA_FIELD_NUMBER; + hash = (53 * hash) + getImageObjectDetectionModelMetadata().hashCode(); + break; + case 23: + hash = (37 * hash) + VIDEO_CLASSIFICATION_MODEL_METADATA_FIELD_NUMBER; + hash = (53 * hash) + getVideoClassificationModelMetadata().hashCode(); + break; + case 21: + hash = (37 * hash) + VIDEO_OBJECT_TRACKING_MODEL_METADATA_FIELD_NUMBER; + hash = (53 * hash) + getVideoObjectTrackingModelMetadata().hashCode(); + break; + case 19: + hash = (37 * hash) + TEXT_EXTRACTION_MODEL_METADATA_FIELD_NUMBER; + hash = (53 * hash) + getTextExtractionModelMetadata().hashCode(); + break; + case 24: + hash = (37 * hash) + TABLES_MODEL_METADATA_FIELD_NUMBER; + hash = (53 * hash) + getTablesModelMetadata().hashCode(); + break; + case 22: + hash = (37 * hash) + TEXT_SENTIMENT_MODEL_METADATA_FIELD_NUMBER; + hash = (53 * hash) + getTextSentimentModelMetadata().hashCode(); + break; + case 0: + default: + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.Model parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.Model parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Model parseFrom(com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.Model parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Model parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.Model parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Model parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.Model parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Model parseDelimitedFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.Model parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Model parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.Model parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.Model prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * API proto representing a trained machine learning model.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.Model} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.Model) + com.google.cloud.automl.v1beta1.ModelOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ModelOuterClass + .internal_static_google_cloud_automl_v1beta1_Model_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ModelOuterClass + .internal_static_google_cloud_automl_v1beta1_Model_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.Model.class, + com.google.cloud.automl.v1beta1.Model.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.Model.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + name_ = ""; + + displayName_ = ""; + + datasetId_ = ""; + + if (createTimeBuilder_ == null) { + createTime_ = null; + } else { + createTime_ = null; + createTimeBuilder_ = null; + } + if (updateTimeBuilder_ == null) { + updateTime_ = null; + } else { + updateTime_ = null; + updateTimeBuilder_ = null; + } + deploymentState_ = 0; + + modelMetadataCase_ = 0; + modelMetadata_ = null; + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.ModelOuterClass + .internal_static_google_cloud_automl_v1beta1_Model_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Model getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.Model.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Model build() { + com.google.cloud.automl.v1beta1.Model result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Model buildPartial() { + com.google.cloud.automl.v1beta1.Model result = + new com.google.cloud.automl.v1beta1.Model(this); + if (modelMetadataCase_ == 15) { + if (translationModelMetadataBuilder_ == null) { + result.modelMetadata_ = modelMetadata_; + } else { + result.modelMetadata_ = translationModelMetadataBuilder_.build(); + } + } + if (modelMetadataCase_ == 13) { + if (imageClassificationModelMetadataBuilder_ == null) { + result.modelMetadata_ = modelMetadata_; + } else { + result.modelMetadata_ = imageClassificationModelMetadataBuilder_.build(); + } + } + if (modelMetadataCase_ == 14) { + if (textClassificationModelMetadataBuilder_ == null) { + result.modelMetadata_ = modelMetadata_; + } else { + result.modelMetadata_ = textClassificationModelMetadataBuilder_.build(); + } + } + if (modelMetadataCase_ == 20) { + if (imageObjectDetectionModelMetadataBuilder_ == null) { + result.modelMetadata_ = modelMetadata_; + } else { + result.modelMetadata_ = imageObjectDetectionModelMetadataBuilder_.build(); + } + } + if (modelMetadataCase_ == 23) { + if (videoClassificationModelMetadataBuilder_ == null) { + result.modelMetadata_ = modelMetadata_; + } else { + result.modelMetadata_ = videoClassificationModelMetadataBuilder_.build(); + } + } + if (modelMetadataCase_ == 21) { + if (videoObjectTrackingModelMetadataBuilder_ == null) { + result.modelMetadata_ = modelMetadata_; + } else { + result.modelMetadata_ = videoObjectTrackingModelMetadataBuilder_.build(); + } + } + if (modelMetadataCase_ == 19) { + if (textExtractionModelMetadataBuilder_ == null) { + result.modelMetadata_ = modelMetadata_; + } else { + result.modelMetadata_ = textExtractionModelMetadataBuilder_.build(); + } + } + if (modelMetadataCase_ == 24) { + if (tablesModelMetadataBuilder_ == null) { + result.modelMetadata_ = modelMetadata_; + } else { + result.modelMetadata_ = tablesModelMetadataBuilder_.build(); + } + } + if (modelMetadataCase_ == 22) { + if (textSentimentModelMetadataBuilder_ == null) { + result.modelMetadata_ = modelMetadata_; + } else { + result.modelMetadata_ = textSentimentModelMetadataBuilder_.build(); + } + } + result.name_ = name_; + result.displayName_ = displayName_; + result.datasetId_ = datasetId_; + if (createTimeBuilder_ == null) { + result.createTime_ = createTime_; + } else { + result.createTime_ = createTimeBuilder_.build(); + } + if (updateTimeBuilder_ == null) { + result.updateTime_ = updateTime_; + } else { + result.updateTime_ = updateTimeBuilder_.build(); + } + result.deploymentState_ = deploymentState_; + result.modelMetadataCase_ = modelMetadataCase_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.Model) { + return mergeFrom((com.google.cloud.automl.v1beta1.Model) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.Model other) { + if (other == com.google.cloud.automl.v1beta1.Model.getDefaultInstance()) return this; + if (!other.getName().isEmpty()) { + name_ = other.name_; + onChanged(); + } + if (!other.getDisplayName().isEmpty()) { + displayName_ = other.displayName_; + onChanged(); + } + if (!other.getDatasetId().isEmpty()) { + datasetId_ = other.datasetId_; + onChanged(); + } + if (other.hasCreateTime()) { + mergeCreateTime(other.getCreateTime()); + } + if (other.hasUpdateTime()) { + mergeUpdateTime(other.getUpdateTime()); + } + if (other.deploymentState_ != 0) { + setDeploymentStateValue(other.getDeploymentStateValue()); + } + switch (other.getModelMetadataCase()) { + case TRANSLATION_MODEL_METADATA: + { + mergeTranslationModelMetadata(other.getTranslationModelMetadata()); + break; + } + case IMAGE_CLASSIFICATION_MODEL_METADATA: + { + mergeImageClassificationModelMetadata(other.getImageClassificationModelMetadata()); + break; + } + case TEXT_CLASSIFICATION_MODEL_METADATA: + { + mergeTextClassificationModelMetadata(other.getTextClassificationModelMetadata()); + break; + } + case IMAGE_OBJECT_DETECTION_MODEL_METADATA: + { + mergeImageObjectDetectionModelMetadata(other.getImageObjectDetectionModelMetadata()); + break; + } + case VIDEO_CLASSIFICATION_MODEL_METADATA: + { + mergeVideoClassificationModelMetadata(other.getVideoClassificationModelMetadata()); + break; + } + case VIDEO_OBJECT_TRACKING_MODEL_METADATA: + { + mergeVideoObjectTrackingModelMetadata(other.getVideoObjectTrackingModelMetadata()); + break; + } + case TEXT_EXTRACTION_MODEL_METADATA: + { + mergeTextExtractionModelMetadata(other.getTextExtractionModelMetadata()); + break; + } + case TABLES_MODEL_METADATA: + { + mergeTablesModelMetadata(other.getTablesModelMetadata()); + break; + } + case TEXT_SENTIMENT_MODEL_METADATA: + { + mergeTextSentimentModelMetadata(other.getTextSentimentModelMetadata()); + break; + } + case MODELMETADATA_NOT_SET: + { + break; + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.Model parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.Model) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int modelMetadataCase_ = 0; + private java.lang.Object modelMetadata_; + + public ModelMetadataCase getModelMetadataCase() { + return ModelMetadataCase.forNumber(modelMetadataCase_); + } + + public Builder clearModelMetadata() { + modelMetadataCase_ = 0; + modelMetadata_ = null; + onChanged(); + return this; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TranslationModelMetadata, + com.google.cloud.automl.v1beta1.TranslationModelMetadata.Builder, + com.google.cloud.automl.v1beta1.TranslationModelMetadataOrBuilder> + translationModelMetadataBuilder_; + /** + * + * + * 
+     * Metadata for translation models.
+     *
+ * + * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15; + * + * + * @return Whether the translationModelMetadata field is set. + */ + public boolean hasTranslationModelMetadata() { + return modelMetadataCase_ == 15; + } + /** + * + * + * 
+     * Metadata for translation models.
+     *
+ * + * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15; + * + * + * @return The translationModelMetadata. + */ + public com.google.cloud.automl.v1beta1.TranslationModelMetadata getTranslationModelMetadata() { + if (translationModelMetadataBuilder_ == null) { + if (modelMetadataCase_ == 15) { + return (com.google.cloud.automl.v1beta1.TranslationModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.TranslationModelMetadata.getDefaultInstance(); + } else { + if (modelMetadataCase_ == 15) { + return translationModelMetadataBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.TranslationModelMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for translation models.
+     *
+ * + * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15; + * + */ + public Builder setTranslationModelMetadata( + com.google.cloud.automl.v1beta1.TranslationModelMetadata value) { + if (translationModelMetadataBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + modelMetadata_ = value; + onChanged(); + } else { + translationModelMetadataBuilder_.setMessage(value); + } + modelMetadataCase_ = 15; + return this; + } + /** + * + * + * 
+     * Metadata for translation models.
+     *
+ * + * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15; + * + */ + public Builder setTranslationModelMetadata( + com.google.cloud.automl.v1beta1.TranslationModelMetadata.Builder builderForValue) { + if (translationModelMetadataBuilder_ == null) { + modelMetadata_ = builderForValue.build(); + onChanged(); + } else { + translationModelMetadataBuilder_.setMessage(builderForValue.build()); + } + modelMetadataCase_ = 15; + return this; + } + /** + * + * + * 
+     * Metadata for translation models.
+     *
+ * + * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15; + * + */ + public Builder mergeTranslationModelMetadata( + com.google.cloud.automl.v1beta1.TranslationModelMetadata value) { + if (translationModelMetadataBuilder_ == null) { + if (modelMetadataCase_ == 15 + && modelMetadata_ + != com.google.cloud.automl.v1beta1.TranslationModelMetadata.getDefaultInstance()) { + modelMetadata_ = + com.google.cloud.automl.v1beta1.TranslationModelMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.TranslationModelMetadata) modelMetadata_) + .mergeFrom(value) + .buildPartial(); + } else { + modelMetadata_ = value; + } + onChanged(); + } else { + if (modelMetadataCase_ == 15) { + translationModelMetadataBuilder_.mergeFrom(value); + } + translationModelMetadataBuilder_.setMessage(value); + } + modelMetadataCase_ = 15; + return this; + } + /** + * + * + * 
+     * Metadata for translation models.
+     *
+ * + * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15; + * + */ + public Builder clearTranslationModelMetadata() { + if (translationModelMetadataBuilder_ == null) { + if (modelMetadataCase_ == 15) { + modelMetadataCase_ = 0; + modelMetadata_ = null; + onChanged(); + } + } else { + if (modelMetadataCase_ == 15) { + modelMetadataCase_ = 0; + modelMetadata_ = null; + } + translationModelMetadataBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Metadata for translation models.
+     *
+ * + * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15; + * + */ + public com.google.cloud.automl.v1beta1.TranslationModelMetadata.Builder + getTranslationModelMetadataBuilder() { + return getTranslationModelMetadataFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Metadata for translation models.
+     *
+ * + * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15; + * + */ + public com.google.cloud.automl.v1beta1.TranslationModelMetadataOrBuilder + getTranslationModelMetadataOrBuilder() { + if ((modelMetadataCase_ == 15) && (translationModelMetadataBuilder_ != null)) { + return translationModelMetadataBuilder_.getMessageOrBuilder(); + } else { + if (modelMetadataCase_ == 15) { + return (com.google.cloud.automl.v1beta1.TranslationModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.TranslationModelMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for translation models.
+     *
+ * + * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TranslationModelMetadata, + com.google.cloud.automl.v1beta1.TranslationModelMetadata.Builder, + com.google.cloud.automl.v1beta1.TranslationModelMetadataOrBuilder> + getTranslationModelMetadataFieldBuilder() { + if (translationModelMetadataBuilder_ == null) { + if (!(modelMetadataCase_ == 15)) { + modelMetadata_ = + com.google.cloud.automl.v1beta1.TranslationModelMetadata.getDefaultInstance(); + } + translationModelMetadataBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TranslationModelMetadata, + com.google.cloud.automl.v1beta1.TranslationModelMetadata.Builder, + com.google.cloud.automl.v1beta1.TranslationModelMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.TranslationModelMetadata) modelMetadata_, + getParentForChildren(), + isClean()); + modelMetadata_ = null; + } + modelMetadataCase_ = 15; + onChanged(); + ; + return translationModelMetadataBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata, + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.Builder, + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadataOrBuilder> + imageClassificationModelMetadataBuilder_; + /** + * + * + * 
+     * Metadata for image classification models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13; + * + * + * @return Whether the imageClassificationModelMetadata field is set. + */ + public boolean hasImageClassificationModelMetadata() { + return modelMetadataCase_ == 13; + } + /** + * + * + * 
+     * Metadata for image classification models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13; + * + * + * @return The imageClassificationModelMetadata. + */ + public com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata + getImageClassificationModelMetadata() { + if (imageClassificationModelMetadataBuilder_ == null) { + if (modelMetadataCase_ == 13) { + return (com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata + .getDefaultInstance(); + } else { + if (modelMetadataCase_ == 13) { + return imageClassificationModelMetadataBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for image classification models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13; + * + */ + public Builder setImageClassificationModelMetadata( + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata value) { + if (imageClassificationModelMetadataBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + modelMetadata_ = value; + onChanged(); + } else { + imageClassificationModelMetadataBuilder_.setMessage(value); + } + modelMetadataCase_ = 13; + return this; + } + /** + * + * + * 
+     * Metadata for image classification models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13; + * + */ + public Builder setImageClassificationModelMetadata( + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.Builder builderForValue) { + if (imageClassificationModelMetadataBuilder_ == null) { + modelMetadata_ = builderForValue.build(); + onChanged(); + } else { + imageClassificationModelMetadataBuilder_.setMessage(builderForValue.build()); + } + modelMetadataCase_ = 13; + return this; + } + /** + * + * + * 
+     * Metadata for image classification models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13; + * + */ + public Builder mergeImageClassificationModelMetadata( + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata value) { + if (imageClassificationModelMetadataBuilder_ == null) { + if (modelMetadataCase_ == 13 + && modelMetadata_ + != com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata + .getDefaultInstance()) { + modelMetadata_ = + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata) + modelMetadata_) + .mergeFrom(value) + .buildPartial(); + } else { + modelMetadata_ = value; + } + onChanged(); + } else { + if (modelMetadataCase_ == 13) { + imageClassificationModelMetadataBuilder_.mergeFrom(value); + } + imageClassificationModelMetadataBuilder_.setMessage(value); + } + modelMetadataCase_ = 13; + return this; + } + /** + * + * + * 
+     * Metadata for image classification models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13; + * + */ + public Builder clearImageClassificationModelMetadata() { + if (imageClassificationModelMetadataBuilder_ == null) { + if (modelMetadataCase_ == 13) { + modelMetadataCase_ = 0; + modelMetadata_ = null; + onChanged(); + } + } else { + if (modelMetadataCase_ == 13) { + modelMetadataCase_ = 0; + modelMetadata_ = null; + } + imageClassificationModelMetadataBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Metadata for image classification models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13; + * + */ + public com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.Builder + getImageClassificationModelMetadataBuilder() { + return getImageClassificationModelMetadataFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Metadata for image classification models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13; + * + */ + public com.google.cloud.automl.v1beta1.ImageClassificationModelMetadataOrBuilder + getImageClassificationModelMetadataOrBuilder() { + if ((modelMetadataCase_ == 13) && (imageClassificationModelMetadataBuilder_ != null)) { + return imageClassificationModelMetadataBuilder_.getMessageOrBuilder(); + } else { + if (modelMetadataCase_ == 13) { + return (com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for image classification models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata, + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.Builder, + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadataOrBuilder> + getImageClassificationModelMetadataFieldBuilder() { + if (imageClassificationModelMetadataBuilder_ == null) { + if (!(modelMetadataCase_ == 13)) { + modelMetadata_ = + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.getDefaultInstance(); + } + imageClassificationModelMetadataBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata, + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.Builder, + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata) modelMetadata_, + getParentForChildren(), + isClean()); + modelMetadata_ = null; + } + modelMetadataCase_ = 13; + onChanged(); + ; + return imageClassificationModelMetadataBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextClassificationModelMetadata, + com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.Builder, + com.google.cloud.automl.v1beta1.TextClassificationModelMetadataOrBuilder> + textClassificationModelMetadataBuilder_; + /** + * + * + * 
+     * Metadata for text classification models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14; + * + * + * @return Whether the textClassificationModelMetadata field is set. + */ + public boolean hasTextClassificationModelMetadata() { + return modelMetadataCase_ == 14; + } + /** + * + * + * 
+     * Metadata for text classification models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14; + * + * + * @return The textClassificationModelMetadata. + */ + public com.google.cloud.automl.v1beta1.TextClassificationModelMetadata + getTextClassificationModelMetadata() { + if (textClassificationModelMetadataBuilder_ == null) { + if (modelMetadataCase_ == 14) { + return (com.google.cloud.automl.v1beta1.TextClassificationModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.getDefaultInstance(); + } else { + if (modelMetadataCase_ == 14) { + return textClassificationModelMetadataBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for text classification models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14; + * + */ + public Builder setTextClassificationModelMetadata( + com.google.cloud.automl.v1beta1.TextClassificationModelMetadata value) { + if (textClassificationModelMetadataBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + modelMetadata_ = value; + onChanged(); + } else { + textClassificationModelMetadataBuilder_.setMessage(value); + } + modelMetadataCase_ = 14; + return this; + } + /** + * + * + * 
+     * Metadata for text classification models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14; + * + */ + public Builder setTextClassificationModelMetadata( + com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.Builder builderForValue) { + if (textClassificationModelMetadataBuilder_ == null) { + modelMetadata_ = builderForValue.build(); + onChanged(); + } else { + textClassificationModelMetadataBuilder_.setMessage(builderForValue.build()); + } + modelMetadataCase_ = 14; + return this; + } + /** + * + * + * 
+     * Metadata for text classification models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14; + * + */ + public Builder mergeTextClassificationModelMetadata( + com.google.cloud.automl.v1beta1.TextClassificationModelMetadata value) { + if (textClassificationModelMetadataBuilder_ == null) { + if (modelMetadataCase_ == 14 + && modelMetadata_ + != com.google.cloud.automl.v1beta1.TextClassificationModelMetadata + .getDefaultInstance()) { + modelMetadata_ = + com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.TextClassificationModelMetadata) + modelMetadata_) + .mergeFrom(value) + .buildPartial(); + } else { + modelMetadata_ = value; + } + onChanged(); + } else { + if (modelMetadataCase_ == 14) { + textClassificationModelMetadataBuilder_.mergeFrom(value); + } + textClassificationModelMetadataBuilder_.setMessage(value); + } + modelMetadataCase_ = 14; + return this; + } + /** + * + * + * 
+     * Metadata for text classification models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14; + * + */ + public Builder clearTextClassificationModelMetadata() { + if (textClassificationModelMetadataBuilder_ == null) { + if (modelMetadataCase_ == 14) { + modelMetadataCase_ = 0; + modelMetadata_ = null; + onChanged(); + } + } else { + if (modelMetadataCase_ == 14) { + modelMetadataCase_ = 0; + modelMetadata_ = null; + } + textClassificationModelMetadataBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Metadata for text classification models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14; + * + */ + public com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.Builder + getTextClassificationModelMetadataBuilder() { + return getTextClassificationModelMetadataFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Metadata for text classification models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14; + * + */ + public com.google.cloud.automl.v1beta1.TextClassificationModelMetadataOrBuilder + getTextClassificationModelMetadataOrBuilder() { + if ((modelMetadataCase_ == 14) && (textClassificationModelMetadataBuilder_ != null)) { + return textClassificationModelMetadataBuilder_.getMessageOrBuilder(); + } else { + if (modelMetadataCase_ == 14) { + return (com.google.cloud.automl.v1beta1.TextClassificationModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for text classification models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextClassificationModelMetadata, + com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.Builder, + com.google.cloud.automl.v1beta1.TextClassificationModelMetadataOrBuilder> + getTextClassificationModelMetadataFieldBuilder() { + if (textClassificationModelMetadataBuilder_ == null) { + if (!(modelMetadataCase_ == 14)) { + modelMetadata_ = + com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.getDefaultInstance(); + } + textClassificationModelMetadataBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextClassificationModelMetadata, + com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.Builder, + com.google.cloud.automl.v1beta1.TextClassificationModelMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.TextClassificationModelMetadata) modelMetadata_, + getParentForChildren(), + isClean()); + modelMetadata_ = null; + } + modelMetadataCase_ = 14; + onChanged(); + ; + return textClassificationModelMetadataBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata, + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.Builder, + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadataOrBuilder> + imageObjectDetectionModelMetadataBuilder_; + /** + * + * + * 
+     * Metadata for image object detection models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20; + * + * + * @return Whether the imageObjectDetectionModelMetadata field is set. + */ + public boolean hasImageObjectDetectionModelMetadata() { + return modelMetadataCase_ == 20; + } + /** + * + * + * 
+     * Metadata for image object detection models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20; + * + * + * @return The imageObjectDetectionModelMetadata. + */ + public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata + getImageObjectDetectionModelMetadata() { + if (imageObjectDetectionModelMetadataBuilder_ == null) { + if (modelMetadataCase_ == 20) { + return (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata + .getDefaultInstance(); + } else { + if (modelMetadataCase_ == 20) { + return imageObjectDetectionModelMetadataBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for image object detection models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20; + * + */ + public Builder setImageObjectDetectionModelMetadata( + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata value) { + if (imageObjectDetectionModelMetadataBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + modelMetadata_ = value; + onChanged(); + } else { + imageObjectDetectionModelMetadataBuilder_.setMessage(value); + } + modelMetadataCase_ = 20; + return this; + } + /** + * + * + * 
+     * Metadata for image object detection models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20; + * + */ + public Builder setImageObjectDetectionModelMetadata( + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.Builder builderForValue) { + if (imageObjectDetectionModelMetadataBuilder_ == null) { + modelMetadata_ = builderForValue.build(); + onChanged(); + } else { + imageObjectDetectionModelMetadataBuilder_.setMessage(builderForValue.build()); + } + modelMetadataCase_ = 20; + return this; + } + /** + * + * + * 
+     * Metadata for image object detection models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20; + * + */ + public Builder mergeImageObjectDetectionModelMetadata( + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata value) { + if (imageObjectDetectionModelMetadataBuilder_ == null) { + if (modelMetadataCase_ == 20 + && modelMetadata_ + != com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata + .getDefaultInstance()) { + modelMetadata_ = + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) + modelMetadata_) + .mergeFrom(value) + .buildPartial(); + } else { + modelMetadata_ = value; + } + onChanged(); + } else { + if (modelMetadataCase_ == 20) { + imageObjectDetectionModelMetadataBuilder_.mergeFrom(value); + } + imageObjectDetectionModelMetadataBuilder_.setMessage(value); + } + modelMetadataCase_ = 20; + return this; + } + /** + * + * + * 
+     * Metadata for image object detection models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20; + * + */ + public Builder clearImageObjectDetectionModelMetadata() { + if (imageObjectDetectionModelMetadataBuilder_ == null) { + if (modelMetadataCase_ == 20) { + modelMetadataCase_ = 0; + modelMetadata_ = null; + onChanged(); + } + } else { + if (modelMetadataCase_ == 20) { + modelMetadataCase_ = 0; + modelMetadata_ = null; + } + imageObjectDetectionModelMetadataBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Metadata for image object detection models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20; + * + */ + public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.Builder + getImageObjectDetectionModelMetadataBuilder() { + return getImageObjectDetectionModelMetadataFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Metadata for image object detection models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20; + * + */ + public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadataOrBuilder + getImageObjectDetectionModelMetadataOrBuilder() { + if ((modelMetadataCase_ == 20) && (imageObjectDetectionModelMetadataBuilder_ != null)) { + return imageObjectDetectionModelMetadataBuilder_.getMessageOrBuilder(); + } else { + if (modelMetadataCase_ == 20) { + return (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for image object detection models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata, + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.Builder, + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadataOrBuilder> + getImageObjectDetectionModelMetadataFieldBuilder() { + if (imageObjectDetectionModelMetadataBuilder_ == null) { + if (!(modelMetadataCase_ == 20)) { + modelMetadata_ = + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata + .getDefaultInstance(); + } + imageObjectDetectionModelMetadataBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata, + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.Builder, + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) modelMetadata_, + getParentForChildren(), + isClean()); + modelMetadata_ = null; + } + modelMetadataCase_ = 20; + onChanged(); + ; + return imageObjectDetectionModelMetadataBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata, + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.Builder, + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadataOrBuilder> + videoClassificationModelMetadataBuilder_; + /** + * + * + * 
+     * Metadata for video classification models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23; + * + * + * @return Whether the videoClassificationModelMetadata field is set. + */ + public boolean hasVideoClassificationModelMetadata() { + return modelMetadataCase_ == 23; + } + /** + * + * + * 
+     * Metadata for video classification models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23; + * + * + * @return The videoClassificationModelMetadata. + */ + public com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata + getVideoClassificationModelMetadata() { + if (videoClassificationModelMetadataBuilder_ == null) { + if (modelMetadataCase_ == 23) { + return (com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata + .getDefaultInstance(); + } else { + if (modelMetadataCase_ == 23) { + return videoClassificationModelMetadataBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for video classification models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23; + * + */ + public Builder setVideoClassificationModelMetadata( + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata value) { + if (videoClassificationModelMetadataBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + modelMetadata_ = value; + onChanged(); + } else { + videoClassificationModelMetadataBuilder_.setMessage(value); + } + modelMetadataCase_ = 23; + return this; + } + /** + * + * + * 
+     * Metadata for video classification models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23; + * + */ + public Builder setVideoClassificationModelMetadata( + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.Builder builderForValue) { + if (videoClassificationModelMetadataBuilder_ == null) { + modelMetadata_ = builderForValue.build(); + onChanged(); + } else { + videoClassificationModelMetadataBuilder_.setMessage(builderForValue.build()); + } + modelMetadataCase_ = 23; + return this; + } + /** + * + * + * 
+     * Metadata for video classification models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23; + * + */ + public Builder mergeVideoClassificationModelMetadata( + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata value) { + if (videoClassificationModelMetadataBuilder_ == null) { + if (modelMetadataCase_ == 23 + && modelMetadata_ + != com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata + .getDefaultInstance()) { + modelMetadata_ = + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata) + modelMetadata_) + .mergeFrom(value) + .buildPartial(); + } else { + modelMetadata_ = value; + } + onChanged(); + } else { + if (modelMetadataCase_ == 23) { + videoClassificationModelMetadataBuilder_.mergeFrom(value); + } + videoClassificationModelMetadataBuilder_.setMessage(value); + } + modelMetadataCase_ = 23; + return this; + } + /** + * + * + * 
+     * Metadata for video classification models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23; + * + */ + public Builder clearVideoClassificationModelMetadata() { + if (videoClassificationModelMetadataBuilder_ == null) { + if (modelMetadataCase_ == 23) { + modelMetadataCase_ = 0; + modelMetadata_ = null; + onChanged(); + } + } else { + if (modelMetadataCase_ == 23) { + modelMetadataCase_ = 0; + modelMetadata_ = null; + } + videoClassificationModelMetadataBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Metadata for video classification models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23; + * + */ + public com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.Builder + getVideoClassificationModelMetadataBuilder() { + return getVideoClassificationModelMetadataFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Metadata for video classification models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23; + * + */ + public com.google.cloud.automl.v1beta1.VideoClassificationModelMetadataOrBuilder + getVideoClassificationModelMetadataOrBuilder() { + if ((modelMetadataCase_ == 23) && (videoClassificationModelMetadataBuilder_ != null)) { + return videoClassificationModelMetadataBuilder_.getMessageOrBuilder(); + } else { + if (modelMetadataCase_ == 23) { + return (com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for video classification models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata, + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.Builder, + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadataOrBuilder> + getVideoClassificationModelMetadataFieldBuilder() { + if (videoClassificationModelMetadataBuilder_ == null) { + if (!(modelMetadataCase_ == 23)) { + modelMetadata_ = + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.getDefaultInstance(); + } + videoClassificationModelMetadataBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata, + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.Builder, + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata) modelMetadata_, + getParentForChildren(), + isClean()); + modelMetadata_ = null; + } + modelMetadataCase_ = 23; + onChanged(); + ; + return videoClassificationModelMetadataBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata, + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata.Builder, + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadataOrBuilder> + videoObjectTrackingModelMetadataBuilder_; + /** + * + * + * 
+     * Metadata for video object tracking models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata video_object_tracking_model_metadata = 21; + * + * + * @return Whether the videoObjectTrackingModelMetadata field is set. + */ + public boolean hasVideoObjectTrackingModelMetadata() { + return modelMetadataCase_ == 21; + } + /** + * + * + * 
+     * Metadata for video object tracking models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata video_object_tracking_model_metadata = 21; + * + * + * @return The videoObjectTrackingModelMetadata. + */ + public com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata + getVideoObjectTrackingModelMetadata() { + if (videoObjectTrackingModelMetadataBuilder_ == null) { + if (modelMetadataCase_ == 21) { + return (com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata + .getDefaultInstance(); + } else { + if (modelMetadataCase_ == 21) { + return videoObjectTrackingModelMetadataBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for video object tracking models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata video_object_tracking_model_metadata = 21; + * + */ + public Builder setVideoObjectTrackingModelMetadata( + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata value) { + if (videoObjectTrackingModelMetadataBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + modelMetadata_ = value; + onChanged(); + } else { + videoObjectTrackingModelMetadataBuilder_.setMessage(value); + } + modelMetadataCase_ = 21; + return this; + } + /** + * + * + * 
+     * Metadata for video object tracking models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata video_object_tracking_model_metadata = 21; + * + */ + public Builder setVideoObjectTrackingModelMetadata( + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata.Builder builderForValue) { + if (videoObjectTrackingModelMetadataBuilder_ == null) { + modelMetadata_ = builderForValue.build(); + onChanged(); + } else { + videoObjectTrackingModelMetadataBuilder_.setMessage(builderForValue.build()); + } + modelMetadataCase_ = 21; + return this; + } + /** + * + * + * 
+     * Metadata for video object tracking models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata video_object_tracking_model_metadata = 21; + * + */ + public Builder mergeVideoObjectTrackingModelMetadata( + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata value) { + if (videoObjectTrackingModelMetadataBuilder_ == null) { + if (modelMetadataCase_ == 21 + && modelMetadata_ + != com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata + .getDefaultInstance()) { + modelMetadata_ = + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata) + modelMetadata_) + .mergeFrom(value) + .buildPartial(); + } else { + modelMetadata_ = value; + } + onChanged(); + } else { + if (modelMetadataCase_ == 21) { + videoObjectTrackingModelMetadataBuilder_.mergeFrom(value); + } + videoObjectTrackingModelMetadataBuilder_.setMessage(value); + } + modelMetadataCase_ = 21; + return this; + } + /** + * + * + * 
+     * Metadata for video object tracking models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata video_object_tracking_model_metadata = 21; + * + */ + public Builder clearVideoObjectTrackingModelMetadata() { + if (videoObjectTrackingModelMetadataBuilder_ == null) { + if (modelMetadataCase_ == 21) { + modelMetadataCase_ = 0; + modelMetadata_ = null; + onChanged(); + } + } else { + if (modelMetadataCase_ == 21) { + modelMetadataCase_ = 0; + modelMetadata_ = null; + } + videoObjectTrackingModelMetadataBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Metadata for video object tracking models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata video_object_tracking_model_metadata = 21; + * + */ + public com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata.Builder + getVideoObjectTrackingModelMetadataBuilder() { + return getVideoObjectTrackingModelMetadataFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Metadata for video object tracking models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata video_object_tracking_model_metadata = 21; + * + */ + public com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadataOrBuilder + getVideoObjectTrackingModelMetadataOrBuilder() { + if ((modelMetadataCase_ == 21) && (videoObjectTrackingModelMetadataBuilder_ != null)) { + return videoObjectTrackingModelMetadataBuilder_.getMessageOrBuilder(); + } else { + if (modelMetadataCase_ == 21) { + return (com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for video object tracking models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata video_object_tracking_model_metadata = 21; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata, + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata.Builder, + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadataOrBuilder> + getVideoObjectTrackingModelMetadataFieldBuilder() { + if (videoObjectTrackingModelMetadataBuilder_ == null) { + if (!(modelMetadataCase_ == 21)) { + modelMetadata_ = + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata.getDefaultInstance(); + } + videoObjectTrackingModelMetadataBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata, + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata.Builder, + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata) modelMetadata_, + getParentForChildren(), + isClean()); + modelMetadata_ = null; + } + modelMetadataCase_ = 21; + onChanged(); + ; + return videoObjectTrackingModelMetadataBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata, + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.Builder, + com.google.cloud.automl.v1beta1.TextExtractionModelMetadataOrBuilder> + textExtractionModelMetadataBuilder_; + /** + * + * + * 
+     * Metadata for text extraction models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19; + * + * + * @return Whether the textExtractionModelMetadata field is set. + */ + public boolean hasTextExtractionModelMetadata() { + return modelMetadataCase_ == 19; + } + /** + * + * + * 
+     * Metadata for text extraction models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19; + * + * + * @return The textExtractionModelMetadata. + */ + public com.google.cloud.automl.v1beta1.TextExtractionModelMetadata + getTextExtractionModelMetadata() { + if (textExtractionModelMetadataBuilder_ == null) { + if (modelMetadataCase_ == 19) { + return (com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.getDefaultInstance(); + } else { + if (modelMetadataCase_ == 19) { + return textExtractionModelMetadataBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for text extraction models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19; + * + */ + public Builder setTextExtractionModelMetadata( + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata value) { + if (textExtractionModelMetadataBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + modelMetadata_ = value; + onChanged(); + } else { + textExtractionModelMetadataBuilder_.setMessage(value); + } + modelMetadataCase_ = 19; + return this; + } + /** + * + * + * 
+     * Metadata for text extraction models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19; + * + */ + public Builder setTextExtractionModelMetadata( + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.Builder builderForValue) { + if (textExtractionModelMetadataBuilder_ == null) { + modelMetadata_ = builderForValue.build(); + onChanged(); + } else { + textExtractionModelMetadataBuilder_.setMessage(builderForValue.build()); + } + modelMetadataCase_ = 19; + return this; + } + /** + * + * + * 
+     * Metadata for text extraction models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19; + * + */ + public Builder mergeTextExtractionModelMetadata( + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata value) { + if (textExtractionModelMetadataBuilder_ == null) { + if (modelMetadataCase_ == 19 + && modelMetadata_ + != com.google.cloud.automl.v1beta1.TextExtractionModelMetadata + .getDefaultInstance()) { + modelMetadata_ = + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) modelMetadata_) + .mergeFrom(value) + .buildPartial(); + } else { + modelMetadata_ = value; + } + onChanged(); + } else { + if (modelMetadataCase_ == 19) { + textExtractionModelMetadataBuilder_.mergeFrom(value); + } + textExtractionModelMetadataBuilder_.setMessage(value); + } + modelMetadataCase_ = 19; + return this; + } + /** + * + * + * 
+     * Metadata for text extraction models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19; + * + */ + public Builder clearTextExtractionModelMetadata() { + if (textExtractionModelMetadataBuilder_ == null) { + if (modelMetadataCase_ == 19) { + modelMetadataCase_ = 0; + modelMetadata_ = null; + onChanged(); + } + } else { + if (modelMetadataCase_ == 19) { + modelMetadataCase_ = 0; + modelMetadata_ = null; + } + textExtractionModelMetadataBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Metadata for text extraction models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19; + * + */ + public com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.Builder + getTextExtractionModelMetadataBuilder() { + return getTextExtractionModelMetadataFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Metadata for text extraction models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19; + * + */ + public com.google.cloud.automl.v1beta1.TextExtractionModelMetadataOrBuilder + getTextExtractionModelMetadataOrBuilder() { + if ((modelMetadataCase_ == 19) && (textExtractionModelMetadataBuilder_ != null)) { + return textExtractionModelMetadataBuilder_.getMessageOrBuilder(); + } else { + if (modelMetadataCase_ == 19) { + return (com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for text extraction models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata, + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.Builder, + com.google.cloud.automl.v1beta1.TextExtractionModelMetadataOrBuilder> + getTextExtractionModelMetadataFieldBuilder() { + if (textExtractionModelMetadataBuilder_ == null) { + if (!(modelMetadataCase_ == 19)) { + modelMetadata_ = + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.getDefaultInstance(); + } + textExtractionModelMetadataBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata, + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.Builder, + com.google.cloud.automl.v1beta1.TextExtractionModelMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) modelMetadata_, + getParentForChildren(), + isClean()); + modelMetadata_ = null; + } + modelMetadataCase_ = 19; + onChanged(); + ; + return textExtractionModelMetadataBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TablesModelMetadata, + com.google.cloud.automl.v1beta1.TablesModelMetadata.Builder, + com.google.cloud.automl.v1beta1.TablesModelMetadataOrBuilder> + tablesModelMetadataBuilder_; + /** + * + * + * 
+     * Metadata for Tables models.
+     *
+ * + * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24; + * + * @return Whether the tablesModelMetadata field is set. + */ + public boolean hasTablesModelMetadata() { + return modelMetadataCase_ == 24; + } + /** + * + * + * 
+     * Metadata for Tables models.
+     *
+ * + * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24; + * + * @return The tablesModelMetadata. + */ + public com.google.cloud.automl.v1beta1.TablesModelMetadata getTablesModelMetadata() { + if (tablesModelMetadataBuilder_ == null) { + if (modelMetadataCase_ == 24) { + return (com.google.cloud.automl.v1beta1.TablesModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.TablesModelMetadata.getDefaultInstance(); + } else { + if (modelMetadataCase_ == 24) { + return tablesModelMetadataBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.TablesModelMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for Tables models.
+     *
+ * + * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24; + */ + public Builder setTablesModelMetadata( + com.google.cloud.automl.v1beta1.TablesModelMetadata value) { + if (tablesModelMetadataBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + modelMetadata_ = value; + onChanged(); + } else { + tablesModelMetadataBuilder_.setMessage(value); + } + modelMetadataCase_ = 24; + return this; + } + /** + * + * + * 
+     * Metadata for Tables models.
+     *
+ * + * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24; + */ + public Builder setTablesModelMetadata( + com.google.cloud.automl.v1beta1.TablesModelMetadata.Builder builderForValue) { + if (tablesModelMetadataBuilder_ == null) { + modelMetadata_ = builderForValue.build(); + onChanged(); + } else { + tablesModelMetadataBuilder_.setMessage(builderForValue.build()); + } + modelMetadataCase_ = 24; + return this; + } + /** + * + * + * 
+     * Metadata for Tables models.
+     *
+ * + * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24; + */ + public Builder mergeTablesModelMetadata( + com.google.cloud.automl.v1beta1.TablesModelMetadata value) { + if (tablesModelMetadataBuilder_ == null) { + if (modelMetadataCase_ == 24 + && modelMetadata_ + != com.google.cloud.automl.v1beta1.TablesModelMetadata.getDefaultInstance()) { + modelMetadata_ = + com.google.cloud.automl.v1beta1.TablesModelMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.TablesModelMetadata) modelMetadata_) + .mergeFrom(value) + .buildPartial(); + } else { + modelMetadata_ = value; + } + onChanged(); + } else { + if (modelMetadataCase_ == 24) { + tablesModelMetadataBuilder_.mergeFrom(value); + } + tablesModelMetadataBuilder_.setMessage(value); + } + modelMetadataCase_ = 24; + return this; + } + /** + * + * + * 
+     * Metadata for Tables models.
+     *
+ * + * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24; + */ + public Builder clearTablesModelMetadata() { + if (tablesModelMetadataBuilder_ == null) { + if (modelMetadataCase_ == 24) { + modelMetadataCase_ = 0; + modelMetadata_ = null; + onChanged(); + } + } else { + if (modelMetadataCase_ == 24) { + modelMetadataCase_ = 0; + modelMetadata_ = null; + } + tablesModelMetadataBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Metadata for Tables models.
+     *
+ * + * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24; + */ + public com.google.cloud.automl.v1beta1.TablesModelMetadata.Builder + getTablesModelMetadataBuilder() { + return getTablesModelMetadataFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Metadata for Tables models.
+     *
+ * + * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24; + */ + public com.google.cloud.automl.v1beta1.TablesModelMetadataOrBuilder + getTablesModelMetadataOrBuilder() { + if ((modelMetadataCase_ == 24) && (tablesModelMetadataBuilder_ != null)) { + return tablesModelMetadataBuilder_.getMessageOrBuilder(); + } else { + if (modelMetadataCase_ == 24) { + return (com.google.cloud.automl.v1beta1.TablesModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.TablesModelMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for Tables models.
+     *
+ * + * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TablesModelMetadata, + com.google.cloud.automl.v1beta1.TablesModelMetadata.Builder, + com.google.cloud.automl.v1beta1.TablesModelMetadataOrBuilder> + getTablesModelMetadataFieldBuilder() { + if (tablesModelMetadataBuilder_ == null) { + if (!(modelMetadataCase_ == 24)) { + modelMetadata_ = com.google.cloud.automl.v1beta1.TablesModelMetadata.getDefaultInstance(); + } + tablesModelMetadataBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TablesModelMetadata, + com.google.cloud.automl.v1beta1.TablesModelMetadata.Builder, + com.google.cloud.automl.v1beta1.TablesModelMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.TablesModelMetadata) modelMetadata_, + getParentForChildren(), + isClean()); + modelMetadata_ = null; + } + modelMetadataCase_ = 24; + onChanged(); + ; + return tablesModelMetadataBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata, + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.Builder, + com.google.cloud.automl.v1beta1.TextSentimentModelMetadataOrBuilder> + textSentimentModelMetadataBuilder_; + /** + * + * + * 
+     * Metadata for text sentiment models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22; + * + * + * @return Whether the textSentimentModelMetadata field is set. + */ + public boolean hasTextSentimentModelMetadata() { + return modelMetadataCase_ == 22; + } + /** + * + * + * 
+     * Metadata for text sentiment models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22; + * + * + * @return The textSentimentModelMetadata. + */ + public com.google.cloud.automl.v1beta1.TextSentimentModelMetadata + getTextSentimentModelMetadata() { + if (textSentimentModelMetadataBuilder_ == null) { + if (modelMetadataCase_ == 22) { + return (com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.getDefaultInstance(); + } else { + if (modelMetadataCase_ == 22) { + return textSentimentModelMetadataBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for text sentiment models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22; + * + */ + public Builder setTextSentimentModelMetadata( + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata value) { + if (textSentimentModelMetadataBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + modelMetadata_ = value; + onChanged(); + } else { + textSentimentModelMetadataBuilder_.setMessage(value); + } + modelMetadataCase_ = 22; + return this; + } + /** + * + * + * 
+     * Metadata for text sentiment models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22; + * + */ + public Builder setTextSentimentModelMetadata( + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.Builder builderForValue) { + if (textSentimentModelMetadataBuilder_ == null) { + modelMetadata_ = builderForValue.build(); + onChanged(); + } else { + textSentimentModelMetadataBuilder_.setMessage(builderForValue.build()); + } + modelMetadataCase_ = 22; + return this; + } + /** + * + * + * 
+     * Metadata for text sentiment models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22; + * + */ + public Builder mergeTextSentimentModelMetadata( + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata value) { + if (textSentimentModelMetadataBuilder_ == null) { + if (modelMetadataCase_ == 22 + && modelMetadata_ + != com.google.cloud.automl.v1beta1.TextSentimentModelMetadata + .getDefaultInstance()) { + modelMetadata_ = + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) modelMetadata_) + .mergeFrom(value) + .buildPartial(); + } else { + modelMetadata_ = value; + } + onChanged(); + } else { + if (modelMetadataCase_ == 22) { + textSentimentModelMetadataBuilder_.mergeFrom(value); + } + textSentimentModelMetadataBuilder_.setMessage(value); + } + modelMetadataCase_ = 22; + return this; + } + /** + * + * + * 
+     * Metadata for text sentiment models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22; + * + */ + public Builder clearTextSentimentModelMetadata() { + if (textSentimentModelMetadataBuilder_ == null) { + if (modelMetadataCase_ == 22) { + modelMetadataCase_ = 0; + modelMetadata_ = null; + onChanged(); + } + } else { + if (modelMetadataCase_ == 22) { + modelMetadataCase_ = 0; + modelMetadata_ = null; + } + textSentimentModelMetadataBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Metadata for text sentiment models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22; + * + */ + public com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.Builder + getTextSentimentModelMetadataBuilder() { + return getTextSentimentModelMetadataFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Metadata for text sentiment models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22; + * + */ + public com.google.cloud.automl.v1beta1.TextSentimentModelMetadataOrBuilder + getTextSentimentModelMetadataOrBuilder() { + if ((modelMetadataCase_ == 22) && (textSentimentModelMetadataBuilder_ != null)) { + return textSentimentModelMetadataBuilder_.getMessageOrBuilder(); + } else { + if (modelMetadataCase_ == 22) { + return (com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) modelMetadata_; + } + return com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Metadata for text sentiment models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata, + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.Builder, + com.google.cloud.automl.v1beta1.TextSentimentModelMetadataOrBuilder> + getTextSentimentModelMetadataFieldBuilder() { + if (textSentimentModelMetadataBuilder_ == null) { + if (!(modelMetadataCase_ == 22)) { + modelMetadata_ = + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.getDefaultInstance(); + } + textSentimentModelMetadataBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata, + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.Builder, + com.google.cloud.automl.v1beta1.TextSentimentModelMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) modelMetadata_, + getParentForChildren(), + isClean()); + modelMetadata_ = null; + } + modelMetadataCase_ = 22; + onChanged(); + ; + return textSentimentModelMetadataBuilder_; + } + + private java.lang.Object name_ = ""; + /** + * + * + * 
+     * Output only. Resource name of the model.
+     * Format: `projects/{project_id}/locations/{location_id}/models/{model_id}`
+     *
+ * + * string name = 1; + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Output only. Resource name of the model.
+     * Format: `projects/{project_id}/locations/{location_id}/models/{model_id}`
+     *
+ * + * string name = 1; + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Output only. Resource name of the model.
+     * Format: `projects/{project_id}/locations/{location_id}/models/{model_id}`
+     *
+ * + * string name = 1; + * + * @param value The name to set. + * @return This builder for chaining. + */ + public Builder setName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + name_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. Resource name of the model.
+     * Format: `projects/{project_id}/locations/{location_id}/models/{model_id}`
+     *
+ * + * string name = 1; + * + * @return This builder for chaining. + */ + public Builder clearName() { + + name_ = getDefaultInstance().getName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. Resource name of the model.
+     * Format: `projects/{project_id}/locations/{location_id}/models/{model_id}`
+     *
+ * + * string name = 1; + * + * @param value The bytes for name to set. + * @return This builder for chaining. + */ + public Builder setNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + name_ = value; + onChanged(); + return this; + } + + private java.lang.Object displayName_ = ""; + /** + * + * + * 
+     * Required. The name of the model to show in the interface. The name can be
+     * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+     * and a-z, underscores
+     * (_), and ASCII digits 0-9. It must start with a letter.
+     *
+ * + * string display_name = 2; + * + * @return The displayName. + */ + public java.lang.String getDisplayName() { + java.lang.Object ref = displayName_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + displayName_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. The name of the model to show in the interface. The name can be
+     * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+     * and a-z, underscores
+     * (_), and ASCII digits 0-9. It must start with a letter.
+     *
+ * + * string display_name = 2; + * + * @return The bytes for displayName. + */ + public com.google.protobuf.ByteString getDisplayNameBytes() { + java.lang.Object ref = displayName_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + displayName_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. The name of the model to show in the interface. The name can be
+     * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+     * and a-z, underscores
+     * (_), and ASCII digits 0-9. It must start with a letter.
+     *
+ * + * string display_name = 2; + * + * @param value The displayName to set. + * @return This builder for chaining. + */ + public Builder setDisplayName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + displayName_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The name of the model to show in the interface. The name can be
+     * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+     * and a-z, underscores
+     * (_), and ASCII digits 0-9. It must start with a letter.
+     *
+ * + * string display_name = 2; + * + * @return This builder for chaining. + */ + public Builder clearDisplayName() { + + displayName_ = getDefaultInstance().getDisplayName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The name of the model to show in the interface. The name can be
+     * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+     * and a-z, underscores
+     * (_), and ASCII digits 0-9. It must start with a letter.
+     *
+ * + * string display_name = 2; + * + * @param value The bytes for displayName to set. + * @return This builder for chaining. + */ + public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + displayName_ = value; + onChanged(); + return this; + } + + private java.lang.Object datasetId_ = ""; + /** + * + * + * 
+     * Required. The resource ID of the dataset used to create the model. The dataset must
+     * come from the same ancestor project and location.
+     *
+ * + * string dataset_id = 3; + * + * @return The datasetId. + */ + public java.lang.String getDatasetId() { + java.lang.Object ref = datasetId_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + datasetId_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. The resource ID of the dataset used to create the model. The dataset must
+     * come from the same ancestor project and location.
+     *
+ * + * string dataset_id = 3; + * + * @return The bytes for datasetId. + */ + public com.google.protobuf.ByteString getDatasetIdBytes() { + java.lang.Object ref = datasetId_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + datasetId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. The resource ID of the dataset used to create the model. The dataset must
+     * come from the same ancestor project and location.
+     *
+ * + * string dataset_id = 3; + * + * @param value The datasetId to set. + * @return This builder for chaining. + */ + public Builder setDatasetId(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + datasetId_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The resource ID of the dataset used to create the model. The dataset must
+     * come from the same ancestor project and location.
+     *
+ * + * string dataset_id = 3; + * + * @return This builder for chaining. + */ + public Builder clearDatasetId() { + + datasetId_ = getDefaultInstance().getDatasetId(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The resource ID of the dataset used to create the model. The dataset must
+     * come from the same ancestor project and location.
+     *
+ * + * string dataset_id = 3; + * + * @param value The bytes for datasetId to set. + * @return This builder for chaining. + */ + public Builder setDatasetIdBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + datasetId_ = value; + onChanged(); + return this; + } + + private com.google.protobuf.Timestamp createTime_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Timestamp, + com.google.protobuf.Timestamp.Builder, + com.google.protobuf.TimestampOrBuilder> + createTimeBuilder_; + /** + * + * + * 
+     * Output only. Timestamp when the model training finished  and can be used for prediction.
+     *
+ * + * .google.protobuf.Timestamp create_time = 7; + * + * @return Whether the createTime field is set. + */ + public boolean hasCreateTime() { + return createTimeBuilder_ != null || createTime_ != null; + } + /** + * + * + * 
+     * Output only. Timestamp when the model training finished  and can be used for prediction.
+     *
+ * + * .google.protobuf.Timestamp create_time = 7; + * + * @return The createTime. + */ + public com.google.protobuf.Timestamp getCreateTime() { + if (createTimeBuilder_ == null) { + return createTime_ == null + ? com.google.protobuf.Timestamp.getDefaultInstance() + : createTime_; + } else { + return createTimeBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Output only. Timestamp when the model training finished  and can be used for prediction.
+     *
+ * + * .google.protobuf.Timestamp create_time = 7; + */ + public Builder setCreateTime(com.google.protobuf.Timestamp value) { + if (createTimeBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + createTime_ = value; + onChanged(); + } else { + createTimeBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. Timestamp when the model training finished  and can be used for prediction.
+     *
+ * + * .google.protobuf.Timestamp create_time = 7; + */ + public Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) { + if (createTimeBuilder_ == null) { + createTime_ = builderForValue.build(); + onChanged(); + } else { + createTimeBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Output only. Timestamp when the model training finished  and can be used for prediction.
+     *
+ * + * .google.protobuf.Timestamp create_time = 7; + */ + public Builder mergeCreateTime(com.google.protobuf.Timestamp value) { + if (createTimeBuilder_ == null) { + if (createTime_ != null) { + createTime_ = + com.google.protobuf.Timestamp.newBuilder(createTime_).mergeFrom(value).buildPartial(); + } else { + createTime_ = value; + } + onChanged(); + } else { + createTimeBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. Timestamp when the model training finished  and can be used for prediction.
+     *
+ * + * .google.protobuf.Timestamp create_time = 7; + */ + public Builder clearCreateTime() { + if (createTimeBuilder_ == null) { + createTime_ = null; + onChanged(); + } else { + createTime_ = null; + createTimeBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Output only. Timestamp when the model training finished  and can be used for prediction.
+     *
+ * + * .google.protobuf.Timestamp create_time = 7; + */ + public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder() { + + onChanged(); + return getCreateTimeFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Output only. Timestamp when the model training finished  and can be used for prediction.
+     *
+ * + * .google.protobuf.Timestamp create_time = 7; + */ + public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() { + if (createTimeBuilder_ != null) { + return createTimeBuilder_.getMessageOrBuilder(); + } else { + return createTime_ == null + ? com.google.protobuf.Timestamp.getDefaultInstance() + : createTime_; + } + } + /** + * + * + * 
+     * Output only. Timestamp when the model training finished  and can be used for prediction.
+     *
+ * + * .google.protobuf.Timestamp create_time = 7; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Timestamp, + com.google.protobuf.Timestamp.Builder, + com.google.protobuf.TimestampOrBuilder> + getCreateTimeFieldBuilder() { + if (createTimeBuilder_ == null) { + createTimeBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Timestamp, + com.google.protobuf.Timestamp.Builder, + com.google.protobuf.TimestampOrBuilder>( + getCreateTime(), getParentForChildren(), isClean()); + createTime_ = null; + } + return createTimeBuilder_; + } + + private com.google.protobuf.Timestamp updateTime_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Timestamp, + com.google.protobuf.Timestamp.Builder, + com.google.protobuf.TimestampOrBuilder> + updateTimeBuilder_; + /** + * + * + * 
+     * Output only. Timestamp when this model was last updated.
+     *
+ * + * .google.protobuf.Timestamp update_time = 11; + * + * @return Whether the updateTime field is set. + */ + public boolean hasUpdateTime() { + return updateTimeBuilder_ != null || updateTime_ != null; + } + /** + * + * + * 
+     * Output only. Timestamp when this model was last updated.
+     *
+ * + * .google.protobuf.Timestamp update_time = 11; + * + * @return The updateTime. + */ + public com.google.protobuf.Timestamp getUpdateTime() { + if (updateTimeBuilder_ == null) { + return updateTime_ == null + ? com.google.protobuf.Timestamp.getDefaultInstance() + : updateTime_; + } else { + return updateTimeBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Output only. Timestamp when this model was last updated.
+     *
+ * + * .google.protobuf.Timestamp update_time = 11; + */ + public Builder setUpdateTime(com.google.protobuf.Timestamp value) { + if (updateTimeBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + updateTime_ = value; + onChanged(); + } else { + updateTimeBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. Timestamp when this model was last updated.
+     *
+ * + * .google.protobuf.Timestamp update_time = 11; + */ + public Builder setUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue) { + if (updateTimeBuilder_ == null) { + updateTime_ = builderForValue.build(); + onChanged(); + } else { + updateTimeBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Output only. Timestamp when this model was last updated.
+     *
+ * + * .google.protobuf.Timestamp update_time = 11; + */ + public Builder mergeUpdateTime(com.google.protobuf.Timestamp value) { + if (updateTimeBuilder_ == null) { + if (updateTime_ != null) { + updateTime_ = + com.google.protobuf.Timestamp.newBuilder(updateTime_).mergeFrom(value).buildPartial(); + } else { + updateTime_ = value; + } + onChanged(); + } else { + updateTimeBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. Timestamp when this model was last updated.
+     *
+ * + * .google.protobuf.Timestamp update_time = 11; + */ + public Builder clearUpdateTime() { + if (updateTimeBuilder_ == null) { + updateTime_ = null; + onChanged(); + } else { + updateTime_ = null; + updateTimeBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Output only. Timestamp when this model was last updated.
+     *
+ * + * .google.protobuf.Timestamp update_time = 11; + */ + public com.google.protobuf.Timestamp.Builder getUpdateTimeBuilder() { + + onChanged(); + return getUpdateTimeFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Output only. Timestamp when this model was last updated.
+     *
+ * + * .google.protobuf.Timestamp update_time = 11; + */ + public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() { + if (updateTimeBuilder_ != null) { + return updateTimeBuilder_.getMessageOrBuilder(); + } else { + return updateTime_ == null + ? com.google.protobuf.Timestamp.getDefaultInstance() + : updateTime_; + } + } + /** + * + * + * 
+     * Output only. Timestamp when this model was last updated.
+     *
+ * + * .google.protobuf.Timestamp update_time = 11; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Timestamp, + com.google.protobuf.Timestamp.Builder, + com.google.protobuf.TimestampOrBuilder> + getUpdateTimeFieldBuilder() { + if (updateTimeBuilder_ == null) { + updateTimeBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Timestamp, + com.google.protobuf.Timestamp.Builder, + com.google.protobuf.TimestampOrBuilder>( + getUpdateTime(), getParentForChildren(), isClean()); + updateTime_ = null; + } + return updateTimeBuilder_; + } + + private int deploymentState_ = 0; + /** + * + * + * 
+     * Output only. Deployment state of the model. A model can only serve
+     * prediction requests after it gets deployed.
+     *
+ * + * .google.cloud.automl.v1beta1.Model.DeploymentState deployment_state = 8; + * + * @return The enum numeric value on the wire for deploymentState. + */ + public int getDeploymentStateValue() { + return deploymentState_; + } + /** + * + * + * 
+     * Output only. Deployment state of the model. A model can only serve
+     * prediction requests after it gets deployed.
+     *
+ * + * .google.cloud.automl.v1beta1.Model.DeploymentState deployment_state = 8; + * + * @param value The enum numeric value on the wire for deploymentState to set. + * @return This builder for chaining. + */ + public Builder setDeploymentStateValue(int value) { + deploymentState_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. Deployment state of the model. A model can only serve
+     * prediction requests after it gets deployed.
+     *
+ * + * .google.cloud.automl.v1beta1.Model.DeploymentState deployment_state = 8; + * + * @return The deploymentState. + */ + public com.google.cloud.automl.v1beta1.Model.DeploymentState getDeploymentState() { + @SuppressWarnings("deprecation") + com.google.cloud.automl.v1beta1.Model.DeploymentState result = + com.google.cloud.automl.v1beta1.Model.DeploymentState.valueOf(deploymentState_); + return result == null + ? com.google.cloud.automl.v1beta1.Model.DeploymentState.UNRECOGNIZED + : result; + } + /** + * + * + * 
+     * Output only. Deployment state of the model. A model can only serve
+     * prediction requests after it gets deployed.
+     *
+ * + * .google.cloud.automl.v1beta1.Model.DeploymentState deployment_state = 8; + * + * @param value The deploymentState to set. + * @return This builder for chaining. + */ + public Builder setDeploymentState(com.google.cloud.automl.v1beta1.Model.DeploymentState value) { + if (value == null) { + throw new NullPointerException(); + } + + deploymentState_ = value.getNumber(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. Deployment state of the model. A model can only serve
+     * prediction requests after it gets deployed.
+     *
+ * + * .google.cloud.automl.v1beta1.Model.DeploymentState deployment_state = 8; + * + * @return This builder for chaining. + */ + public Builder clearDeploymentState() { + + deploymentState_ = 0; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.Model) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.Model) + private static final com.google.cloud.automl.v1beta1.Model DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.Model(); + } + + public static com.google.cloud.automl.v1beta1.Model getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public Model parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new Model(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Model getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelEvaluation.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelEvaluation.java new file mode 100644 index 000000000..46082f398 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelEvaluation.java @@ -0,0 +1,4136 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/model_evaluation.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Evaluation results of a model.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ModelEvaluation} + */ +public final class ModelEvaluation extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ModelEvaluation) + ModelEvaluationOrBuilder { + private static final long serialVersionUID = 0L; + // Use ModelEvaluation.newBuilder() to construct. + private ModelEvaluation(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ModelEvaluation() { + name_ = ""; + annotationSpecId_ = ""; + displayName_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ModelEvaluation(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ModelEvaluation( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + name_ = s; + break; + } + case 18: + { + java.lang.String s = input.readStringRequireUtf8(); + + annotationSpecId_ = s; + break; + } + case 42: + { + com.google.protobuf.Timestamp.Builder subBuilder = null; + if (createTime_ != null) { + subBuilder = createTime_.toBuilder(); + } + createTime_ = + input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(createTime_); + createTime_ = subBuilder.buildPartial(); + } + + break; + } + case 48: + { + evaluatedExampleCount_ = input.readInt32(); + break; + } + case 66: + { + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .Builder + subBuilder = null; + if (metricsCase_ == 8) { + subBuilder = + ((com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics) + metrics_) + .toBuilder(); + } + metrics_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics) + metrics_); + metrics_ = subBuilder.buildPartial(); + } + metricsCase_ = 8; + break; + } + case 74: + { + com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.Builder subBuilder = + null; + if (metricsCase_ == 9) { + subBuilder = + ((com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) metrics_) + .toBuilder(); + } + metrics_ = + input.readMessage( + com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) metrics_); + metrics_ = subBuilder.buildPartial(); + } + metricsCase_ = 9; + break; + } + case 90: + { + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + .Builder + subBuilder = null; + if (metricsCase_ == 11) { + subBuilder = + ((com.google.cloud.automl.v1beta1.TextSentimentProto + .TextSentimentEvaluationMetrics) + metrics_) + .toBuilder(); + } + metrics_ = + input.readMessage( + com.google.cloud.automl.v1beta1.TextSentimentProto + .TextSentimentEvaluationMetrics.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.TextSentimentProto + .TextSentimentEvaluationMetrics) + metrics_); + metrics_ = subBuilder.buildPartial(); + } + metricsCase_ = 11; + break; + } + case 98: + { + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.Builder + subBuilder = null; + if (metricsCase_ == 12) { + subBuilder = + ((com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) + metrics_) + .toBuilder(); + } + metrics_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics + .parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) + metrics_); + metrics_ = subBuilder.buildPartial(); + } + metricsCase_ = 12; + break; + } + case 106: + { + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.Builder subBuilder = + null; + if (metricsCase_ == 13) { + subBuilder = + ((com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) metrics_) + .toBuilder(); + } + metrics_ = + input.readMessage( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) metrics_); + metrics_ = subBuilder.buildPartial(); + } + metricsCase_ = 13; + break; + } + case 114: + { + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics.Builder + subBuilder = null; + if (metricsCase_ == 14) { + subBuilder = + ((com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics) + metrics_) + .toBuilder(); + } + metrics_ = + input.readMessage( + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics) + metrics_); + metrics_ = subBuilder.buildPartial(); + } + metricsCase_ = 14; + break; + } + case 122: + { + java.lang.String s = input.readStringRequireUtf8(); + + displayName_ = s; + break; + } + case 194: + { + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.Builder + subBuilder = null; + if (metricsCase_ == 24) { + subBuilder = + ((com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) + metrics_) + .toBuilder(); + } + metrics_ = + input.readMessage( + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + .parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) + metrics_); + metrics_ = subBuilder.buildPartial(); + } + metricsCase_ = 24; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ModelEvaluationOuterClass + .internal_static_google_cloud_automl_v1beta1_ModelEvaluation_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ModelEvaluationOuterClass + .internal_static_google_cloud_automl_v1beta1_ModelEvaluation_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ModelEvaluation.class, + com.google.cloud.automl.v1beta1.ModelEvaluation.Builder.class); + } + + private int metricsCase_ = 0; + private java.lang.Object metrics_; + + public enum MetricsCase + implements + com.google.protobuf.Internal.EnumLite, + com.google.protobuf.AbstractMessage.InternalOneOfEnum { + CLASSIFICATION_EVALUATION_METRICS(8), + REGRESSION_EVALUATION_METRICS(24), + TRANSLATION_EVALUATION_METRICS(9), + IMAGE_OBJECT_DETECTION_EVALUATION_METRICS(12), + VIDEO_OBJECT_TRACKING_EVALUATION_METRICS(14), + TEXT_SENTIMENT_EVALUATION_METRICS(11), + TEXT_EXTRACTION_EVALUATION_METRICS(13), + METRICS_NOT_SET(0); + private final int value; + + private MetricsCase(int value) { + this.value = value; + } + /** + * @param value The number of the enum to look for. + * @return The enum associated with the given number. + * @deprecated Use {@link #forNumber(int)} instead. + */ + @java.lang.Deprecated + public static MetricsCase valueOf(int value) { + return forNumber(value); + } + + public static MetricsCase forNumber(int value) { + switch (value) { + case 8: + return CLASSIFICATION_EVALUATION_METRICS; + case 24: + return REGRESSION_EVALUATION_METRICS; + case 9: + return TRANSLATION_EVALUATION_METRICS; + case 12: + return IMAGE_OBJECT_DETECTION_EVALUATION_METRICS; + case 14: + return VIDEO_OBJECT_TRACKING_EVALUATION_METRICS; + case 11: + return TEXT_SENTIMENT_EVALUATION_METRICS; + case 13: + return TEXT_EXTRACTION_EVALUATION_METRICS; + case 0: + return METRICS_NOT_SET; + default: + return null; + } + } + + public int getNumber() { + return this.value; + } + }; + + public MetricsCase getMetricsCase() { + return MetricsCase.forNumber(metricsCase_); + } + + public static final int CLASSIFICATION_EVALUATION_METRICS_FIELD_NUMBER = 8; + /** + * + * + * 
+   * Model evaluation metrics for image, text, video and tables
+   * classification.
+   * Tables problem is considered a classification when the target column
+   * is CATEGORY DataType.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8; + * + * + * @return Whether the classificationEvaluationMetrics field is set. + */ + public boolean hasClassificationEvaluationMetrics() { + return metricsCase_ == 8; + } + /** + * + * + * 
+   * Model evaluation metrics for image, text, video and tables
+   * classification.
+   * Tables problem is considered a classification when the target column
+   * is CATEGORY DataType.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8; + * + * + * @return The classificationEvaluationMetrics. + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + getClassificationEvaluationMetrics() { + if (metricsCase_ == 8) { + return (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics) + metrics_; + } + return com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .getDefaultInstance(); + } + /** + * + * + * 
+   * Model evaluation metrics for image, text, video and tables
+   * classification.
+   * Tables problem is considered a classification when the target column
+   * is CATEGORY DataType.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetricsOrBuilder + getClassificationEvaluationMetricsOrBuilder() { + if (metricsCase_ == 8) { + return (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics) + metrics_; + } + return com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .getDefaultInstance(); + } + + public static final int REGRESSION_EVALUATION_METRICS_FIELD_NUMBER = 24; + /** + * + * + * 
+   * Model evaluation metrics for Tables regression.
+   * Tables problem is considered a regression when the target column
+   * has FLOAT64 DataType.
+   *
+ * + * + * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24; + * + * + * @return Whether the regressionEvaluationMetrics field is set. + */ + public boolean hasRegressionEvaluationMetrics() { + return metricsCase_ == 24; + } + /** + * + * + * 
+   * Model evaluation metrics for Tables regression.
+   * Tables problem is considered a regression when the target column
+   * has FLOAT64 DataType.
+   *
+ * + * + * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24; + * + * + * @return The regressionEvaluationMetrics. + */ + public com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + getRegressionEvaluationMetrics() { + if (metricsCase_ == 24) { + return (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) metrics_; + } + return com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + .getDefaultInstance(); + } + /** + * + * + * 
+   * Model evaluation metrics for Tables regression.
+   * Tables problem is considered a regression when the target column
+   * has FLOAT64 DataType.
+   *
+ * + * + * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24; + * + */ + public com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetricsOrBuilder + getRegressionEvaluationMetricsOrBuilder() { + if (metricsCase_ == 24) { + return (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) metrics_; + } + return com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + .getDefaultInstance(); + } + + public static final int TRANSLATION_EVALUATION_METRICS_FIELD_NUMBER = 9; + /** + * + * + * 
+   * Model evaluation metrics for translation.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9; + * + * + * @return Whether the translationEvaluationMetrics field is set. + */ + public boolean hasTranslationEvaluationMetrics() { + return metricsCase_ == 9; + } + /** + * + * + * 
+   * Model evaluation metrics for translation.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9; + * + * + * @return The translationEvaluationMetrics. + */ + public com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics + getTranslationEvaluationMetrics() { + if (metricsCase_ == 9) { + return (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) metrics_; + } + return com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.getDefaultInstance(); + } + /** + * + * + * 
+   * Model evaluation metrics for translation.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9; + * + */ + public com.google.cloud.automl.v1beta1.TranslationEvaluationMetricsOrBuilder + getTranslationEvaluationMetricsOrBuilder() { + if (metricsCase_ == 9) { + return (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) metrics_; + } + return com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.getDefaultInstance(); + } + + public static final int IMAGE_OBJECT_DETECTION_EVALUATION_METRICS_FIELD_NUMBER = 12; + /** + * + * + * 
+   * Model evaluation metrics for image object detection.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; + * + * + * @return Whether the imageObjectDetectionEvaluationMetrics field is set. + */ + public boolean hasImageObjectDetectionEvaluationMetrics() { + return metricsCase_ == 12; + } + /** + * + * + * 
+   * Model evaluation metrics for image object detection.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; + * + * + * @return The imageObjectDetectionEvaluationMetrics. + */ + public com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics + getImageObjectDetectionEvaluationMetrics() { + if (metricsCase_ == 12) { + return (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) metrics_; + } + return com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics + .getDefaultInstance(); + } + /** + * + * + * 
+   * Model evaluation metrics for image object detection.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; + * + */ + public com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetricsOrBuilder + getImageObjectDetectionEvaluationMetricsOrBuilder() { + if (metricsCase_ == 12) { + return (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) metrics_; + } + return com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics + .getDefaultInstance(); + } + + public static final int VIDEO_OBJECT_TRACKING_EVALUATION_METRICS_FIELD_NUMBER = 14; + /** + * + * + * 
+   * Model evaluation metrics for video object tracking.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; + * + * + * @return Whether the videoObjectTrackingEvaluationMetrics field is set. + */ + public boolean hasVideoObjectTrackingEvaluationMetrics() { + return metricsCase_ == 14; + } + /** + * + * + * 
+   * Model evaluation metrics for video object tracking.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; + * + * + * @return The videoObjectTrackingEvaluationMetrics. + */ + public com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics + getVideoObjectTrackingEvaluationMetrics() { + if (metricsCase_ == 14) { + return (com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics) metrics_; + } + return com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics + .getDefaultInstance(); + } + /** + * + * + * 
+   * Model evaluation metrics for video object tracking.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; + * + */ + public com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetricsOrBuilder + getVideoObjectTrackingEvaluationMetricsOrBuilder() { + if (metricsCase_ == 14) { + return (com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics) metrics_; + } + return com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics + .getDefaultInstance(); + } + + public static final int TEXT_SENTIMENT_EVALUATION_METRICS_FIELD_NUMBER = 11; + /** + * + * + * 
+   * Evaluation metrics for text sentiment models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; + * + * + * @return Whether the textSentimentEvaluationMetrics field is set. + */ + public boolean hasTextSentimentEvaluationMetrics() { + return metricsCase_ == 11; + } + /** + * + * + * 
+   * Evaluation metrics for text sentiment models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; + * + * + * @return The textSentimentEvaluationMetrics. + */ + public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + getTextSentimentEvaluationMetrics() { + if (metricsCase_ == 11) { + return (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics) + metrics_; + } + return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + .getDefaultInstance(); + } + /** + * + * + * 
+   * Evaluation metrics for text sentiment models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; + * + */ + public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetricsOrBuilder + getTextSentimentEvaluationMetricsOrBuilder() { + if (metricsCase_ == 11) { + return (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics) + metrics_; + } + return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + .getDefaultInstance(); + } + + public static final int TEXT_EXTRACTION_EVALUATION_METRICS_FIELD_NUMBER = 13; + /** + * + * + * 
+   * Evaluation metrics for text extraction models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; + * + * + * @return Whether the textExtractionEvaluationMetrics field is set. + */ + public boolean hasTextExtractionEvaluationMetrics() { + return metricsCase_ == 13; + } + /** + * + * + * 
+   * Evaluation metrics for text extraction models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; + * + * + * @return The textExtractionEvaluationMetrics. + */ + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + getTextExtractionEvaluationMetrics() { + if (metricsCase_ == 13) { + return (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) metrics_; + } + return com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.getDefaultInstance(); + } + /** + * + * + * 
+   * Evaluation metrics for text extraction models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; + * + */ + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetricsOrBuilder + getTextExtractionEvaluationMetricsOrBuilder() { + if (metricsCase_ == 13) { + return (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) metrics_; + } + return com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.getDefaultInstance(); + } + + public static final int NAME_FIELD_NUMBER = 1; + private volatile java.lang.Object name_; + /** + * + * + * 
+   * Output only. Resource name of the model evaluation.
+   * Format:
+   * `projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}`
+   *
+ * + * string name = 1; + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } + } + /** + * + * + * 
+   * Output only. Resource name of the model evaluation.
+   * Format:
+   * `projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}`
+   *
+ * + * string name = 1; + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int ANNOTATION_SPEC_ID_FIELD_NUMBER = 2; + private volatile java.lang.Object annotationSpecId_; + /** + * + * + * 
+   * Output only. The ID of the annotation spec that the model evaluation applies to. The
+   * The ID is empty for the overall model evaluation.
+   * For Tables annotation specs in the dataset do not exist and this ID is
+   * always not set, but for CLASSIFICATION
+   * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+   * the
+   * [display_name][google.cloud.automl.v1beta1.ModelEvaluation.display_name]
+   * field is used.
+   *
+ * + * string annotation_spec_id = 2; + * + * @return The annotationSpecId. + */ + public java.lang.String getAnnotationSpecId() { + java.lang.Object ref = annotationSpecId_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + annotationSpecId_ = s; + return s; + } + } + /** + * + * + * 
+   * Output only. The ID of the annotation spec that the model evaluation applies to. The
+   * The ID is empty for the overall model evaluation.
+   * For Tables annotation specs in the dataset do not exist and this ID is
+   * always not set, but for CLASSIFICATION
+   * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+   * the
+   * [display_name][google.cloud.automl.v1beta1.ModelEvaluation.display_name]
+   * field is used.
+   *
+ * + * string annotation_spec_id = 2; + * + * @return The bytes for annotationSpecId. + */ + public com.google.protobuf.ByteString getAnnotationSpecIdBytes() { + java.lang.Object ref = annotationSpecId_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + annotationSpecId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int DISPLAY_NAME_FIELD_NUMBER = 15; + private volatile java.lang.Object displayName_; + /** + * + * + * 
+   * Output only. The value of
+   * [display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] at
+   * the moment when the model was trained. Because this field returns a value
+   * at model training time, for different models trained from the same dataset,
+   * the values may differ, since display names could had been changed between
+   * the two model's trainings.
+   * For Tables CLASSIFICATION
+   * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+   * distinct values of the target column at the moment of the model evaluation
+   * are populated here.
+   * The display_name is empty for the overall model evaluation.
+   *
+ * + * string display_name = 15; + * + * @return The displayName. + */ + public java.lang.String getDisplayName() { + java.lang.Object ref = displayName_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + displayName_ = s; + return s; + } + } + /** + * + * + * 
+   * Output only. The value of
+   * [display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] at
+   * the moment when the model was trained. Because this field returns a value
+   * at model training time, for different models trained from the same dataset,
+   * the values may differ, since display names could had been changed between
+   * the two model's trainings.
+   * For Tables CLASSIFICATION
+   * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+   * distinct values of the target column at the moment of the model evaluation
+   * are populated here.
+   * The display_name is empty for the overall model evaluation.
+   *
+ * + * string display_name = 15; + * + * @return The bytes for displayName. + */ + public com.google.protobuf.ByteString getDisplayNameBytes() { + java.lang.Object ref = displayName_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + displayName_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int CREATE_TIME_FIELD_NUMBER = 5; + private com.google.protobuf.Timestamp createTime_; + /** + * + * + * 
+   * Output only. Timestamp when this model evaluation was created.
+   *
+ * + * .google.protobuf.Timestamp create_time = 5; + * + * @return Whether the createTime field is set. + */ + public boolean hasCreateTime() { + return createTime_ != null; + } + /** + * + * + * 
+   * Output only. Timestamp when this model evaluation was created.
+   *
+ * + * .google.protobuf.Timestamp create_time = 5; + * + * @return The createTime. + */ + public com.google.protobuf.Timestamp getCreateTime() { + return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_; + } + /** + * + * + * 
+   * Output only. Timestamp when this model evaluation was created.
+   *
+ * + * .google.protobuf.Timestamp create_time = 5; + */ + public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() { + return getCreateTime(); + } + + public static final int EVALUATED_EXAMPLE_COUNT_FIELD_NUMBER = 6; + private int evaluatedExampleCount_; + /** + * + * + * 
+   * Output only. The number of examples used for model evaluation, i.e. for
+   * which ground truth from time of model creation is compared against the
+   * predicted annotations created by the model.
+   * For overall ModelEvaluation (i.e. with annotation_spec_id not set) this is
+   * the total number of all examples used for evaluation.
+   * Otherwise, this is the count of examples that according to the ground
+   * truth were annotated by the
+   * [annotation_spec_id][google.cloud.automl.v1beta1.ModelEvaluation.annotation_spec_id].
+   *
+ * + * int32 evaluated_example_count = 6; + * + * @return The evaluatedExampleCount. + */ + public int getEvaluatedExampleCount() { + return evaluatedExampleCount_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_); + } + if (!getAnnotationSpecIdBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 2, annotationSpecId_); + } + if (createTime_ != null) { + output.writeMessage(5, getCreateTime()); + } + if (evaluatedExampleCount_ != 0) { + output.writeInt32(6, evaluatedExampleCount_); + } + if (metricsCase_ == 8) { + output.writeMessage( + 8, + (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics) + metrics_); + } + if (metricsCase_ == 9) { + output.writeMessage( + 9, (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) metrics_); + } + if (metricsCase_ == 11) { + output.writeMessage( + 11, + (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics) + metrics_); + } + if (metricsCase_ == 12) { + output.writeMessage( + 12, (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) metrics_); + } + if (metricsCase_ == 13) { + output.writeMessage( + 13, (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) metrics_); + } + if (metricsCase_ == 14) { + output.writeMessage( + 14, (com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics) metrics_); + } + if (!getDisplayNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 15, displayName_); + } + if (metricsCase_ == 24) { + output.writeMessage( + 24, + (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) metrics_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_); + } + if (!getAnnotationSpecIdBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, annotationSpecId_); + } + if (createTime_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(5, getCreateTime()); + } + if (evaluatedExampleCount_ != 0) { + size += com.google.protobuf.CodedOutputStream.computeInt32Size(6, evaluatedExampleCount_); + } + if (metricsCase_ == 8) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 8, + (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics) + metrics_); + } + if (metricsCase_ == 9) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 9, (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) metrics_); + } + if (metricsCase_ == 11) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 11, + (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics) + metrics_); + } + if (metricsCase_ == 12) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 12, (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) metrics_); + } + if (metricsCase_ == 13) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 13, (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) metrics_); + } + if (metricsCase_ == 14) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 14, (com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics) metrics_); + } + if (!getDisplayNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(15, displayName_); + } + if (metricsCase_ == 24) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 24, + (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) + metrics_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ModelEvaluation)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ModelEvaluation other = + (com.google.cloud.automl.v1beta1.ModelEvaluation) obj; + + if (!getName().equals(other.getName())) return false; + if (!getAnnotationSpecId().equals(other.getAnnotationSpecId())) return false; + if (!getDisplayName().equals(other.getDisplayName())) return false; + if (hasCreateTime() != other.hasCreateTime()) return false; + if (hasCreateTime()) { + if (!getCreateTime().equals(other.getCreateTime())) return false; + } + if (getEvaluatedExampleCount() != other.getEvaluatedExampleCount()) return false; + if (!getMetricsCase().equals(other.getMetricsCase())) return false; + switch (metricsCase_) { + case 8: + if (!getClassificationEvaluationMetrics() + .equals(other.getClassificationEvaluationMetrics())) return false; + break; + case 24: + if (!getRegressionEvaluationMetrics().equals(other.getRegressionEvaluationMetrics())) + return false; + break; + case 9: + if (!getTranslationEvaluationMetrics().equals(other.getTranslationEvaluationMetrics())) + return false; + break; + case 12: + if (!getImageObjectDetectionEvaluationMetrics() + .equals(other.getImageObjectDetectionEvaluationMetrics())) return false; + break; + case 14: + if (!getVideoObjectTrackingEvaluationMetrics() + .equals(other.getVideoObjectTrackingEvaluationMetrics())) return false; + break; + case 11: + if (!getTextSentimentEvaluationMetrics().equals(other.getTextSentimentEvaluationMetrics())) + return false; + break; + case 13: + if (!getTextExtractionEvaluationMetrics() + .equals(other.getTextExtractionEvaluationMetrics())) return false; + break; + case 0: + default: + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + NAME_FIELD_NUMBER; + hash = (53 * hash) + getName().hashCode(); + hash = (37 * hash) + ANNOTATION_SPEC_ID_FIELD_NUMBER; + hash = (53 * hash) + getAnnotationSpecId().hashCode(); + hash = (37 * hash) + DISPLAY_NAME_FIELD_NUMBER; + hash = (53 * hash) + getDisplayName().hashCode(); + if (hasCreateTime()) { + hash = (37 * hash) + CREATE_TIME_FIELD_NUMBER; + hash = (53 * hash) + getCreateTime().hashCode(); + } + hash = (37 * hash) + EVALUATED_EXAMPLE_COUNT_FIELD_NUMBER; + hash = (53 * hash) + getEvaluatedExampleCount(); + switch (metricsCase_) { + case 8: + hash = (37 * hash) + CLASSIFICATION_EVALUATION_METRICS_FIELD_NUMBER; + hash = (53 * hash) + getClassificationEvaluationMetrics().hashCode(); + break; + case 24: + hash = (37 * hash) + REGRESSION_EVALUATION_METRICS_FIELD_NUMBER; + hash = (53 * hash) + getRegressionEvaluationMetrics().hashCode(); + break; + case 9: + hash = (37 * hash) + TRANSLATION_EVALUATION_METRICS_FIELD_NUMBER; + hash = (53 * hash) + getTranslationEvaluationMetrics().hashCode(); + break; + case 12: + hash = (37 * hash) + IMAGE_OBJECT_DETECTION_EVALUATION_METRICS_FIELD_NUMBER; + hash = (53 * hash) + getImageObjectDetectionEvaluationMetrics().hashCode(); + break; + case 14: + hash = (37 * hash) + VIDEO_OBJECT_TRACKING_EVALUATION_METRICS_FIELD_NUMBER; + hash = (53 * hash) + getVideoObjectTrackingEvaluationMetrics().hashCode(); + break; + case 11: + hash = (37 * hash) + TEXT_SENTIMENT_EVALUATION_METRICS_FIELD_NUMBER; + hash = (53 * hash) + getTextSentimentEvaluationMetrics().hashCode(); + break; + case 13: + hash = (37 * hash) + TEXT_EXTRACTION_EVALUATION_METRICS_FIELD_NUMBER; + hash = (53 * hash) + getTextExtractionEvaluationMetrics().hashCode(); + break; + case 0: + default: + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ModelEvaluation parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ModelEvaluation parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ModelEvaluation parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ModelEvaluation parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ModelEvaluation parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ModelEvaluation parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ModelEvaluation parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ModelEvaluation parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ModelEvaluation parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ModelEvaluation parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ModelEvaluation parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ModelEvaluation parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.ModelEvaluation prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Evaluation results of a model.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ModelEvaluation} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ModelEvaluation) + com.google.cloud.automl.v1beta1.ModelEvaluationOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.ModelEvaluationOuterClass + .internal_static_google_cloud_automl_v1beta1_ModelEvaluation_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.ModelEvaluationOuterClass + .internal_static_google_cloud_automl_v1beta1_ModelEvaluation_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ModelEvaluation.class, + com.google.cloud.automl.v1beta1.ModelEvaluation.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.ModelEvaluation.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + name_ = ""; + + annotationSpecId_ = ""; + + displayName_ = ""; + + if (createTimeBuilder_ == null) { + createTime_ = null; + } else { + createTime_ = null; + createTimeBuilder_ = null; + } + evaluatedExampleCount_ = 0; + + metricsCase_ = 0; + metrics_ = null; + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.ModelEvaluationOuterClass + .internal_static_google_cloud_automl_v1beta1_ModelEvaluation_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ModelEvaluation getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ModelEvaluation.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ModelEvaluation build() { + com.google.cloud.automl.v1beta1.ModelEvaluation result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ModelEvaluation buildPartial() { + com.google.cloud.automl.v1beta1.ModelEvaluation result = + new com.google.cloud.automl.v1beta1.ModelEvaluation(this); + if (metricsCase_ == 8) { + if (classificationEvaluationMetricsBuilder_ == null) { + result.metrics_ = metrics_; + } else { + result.metrics_ = classificationEvaluationMetricsBuilder_.build(); + } + } + if (metricsCase_ == 24) { + if (regressionEvaluationMetricsBuilder_ == null) { + result.metrics_ = metrics_; + } else { + result.metrics_ = regressionEvaluationMetricsBuilder_.build(); + } + } + if (metricsCase_ == 9) { + if (translationEvaluationMetricsBuilder_ == null) { + result.metrics_ = metrics_; + } else { + result.metrics_ = translationEvaluationMetricsBuilder_.build(); + } + } + if (metricsCase_ == 12) { + if (imageObjectDetectionEvaluationMetricsBuilder_ == null) { + result.metrics_ = metrics_; + } else { + result.metrics_ = imageObjectDetectionEvaluationMetricsBuilder_.build(); + } + } + if (metricsCase_ == 14) { + if (videoObjectTrackingEvaluationMetricsBuilder_ == null) { + result.metrics_ = metrics_; + } else { + result.metrics_ = videoObjectTrackingEvaluationMetricsBuilder_.build(); + } + } + if (metricsCase_ == 11) { + if (textSentimentEvaluationMetricsBuilder_ == null) { + result.metrics_ = metrics_; + } else { + result.metrics_ = textSentimentEvaluationMetricsBuilder_.build(); + } + } + if (metricsCase_ == 13) { + if (textExtractionEvaluationMetricsBuilder_ == null) { + result.metrics_ = metrics_; + } else { + result.metrics_ = textExtractionEvaluationMetricsBuilder_.build(); + } + } + result.name_ = name_; + result.annotationSpecId_ = annotationSpecId_; + result.displayName_ = displayName_; + if (createTimeBuilder_ == null) { + result.createTime_ = createTime_; + } else { + result.createTime_ = createTimeBuilder_.build(); + } + result.evaluatedExampleCount_ = evaluatedExampleCount_; + result.metricsCase_ = metricsCase_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ModelEvaluation) { + return mergeFrom((com.google.cloud.automl.v1beta1.ModelEvaluation) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.ModelEvaluation other) { + if (other == com.google.cloud.automl.v1beta1.ModelEvaluation.getDefaultInstance()) + return this; + if (!other.getName().isEmpty()) { + name_ = other.name_; + onChanged(); + } + if (!other.getAnnotationSpecId().isEmpty()) { + annotationSpecId_ = other.annotationSpecId_; + onChanged(); + } + if (!other.getDisplayName().isEmpty()) { + displayName_ = other.displayName_; + onChanged(); + } + if (other.hasCreateTime()) { + mergeCreateTime(other.getCreateTime()); + } + if (other.getEvaluatedExampleCount() != 0) { + setEvaluatedExampleCount(other.getEvaluatedExampleCount()); + } + switch (other.getMetricsCase()) { + case CLASSIFICATION_EVALUATION_METRICS: + { + mergeClassificationEvaluationMetrics(other.getClassificationEvaluationMetrics()); + break; + } + case REGRESSION_EVALUATION_METRICS: + { + mergeRegressionEvaluationMetrics(other.getRegressionEvaluationMetrics()); + break; + } + case TRANSLATION_EVALUATION_METRICS: + { + mergeTranslationEvaluationMetrics(other.getTranslationEvaluationMetrics()); + break; + } + case IMAGE_OBJECT_DETECTION_EVALUATION_METRICS: + { + mergeImageObjectDetectionEvaluationMetrics( + other.getImageObjectDetectionEvaluationMetrics()); + break; + } + case VIDEO_OBJECT_TRACKING_EVALUATION_METRICS: + { + mergeVideoObjectTrackingEvaluationMetrics( + other.getVideoObjectTrackingEvaluationMetrics()); + break; + } + case TEXT_SENTIMENT_EVALUATION_METRICS: + { + mergeTextSentimentEvaluationMetrics(other.getTextSentimentEvaluationMetrics()); + break; + } + case TEXT_EXTRACTION_EVALUATION_METRICS: + { + mergeTextExtractionEvaluationMetrics(other.getTextExtractionEvaluationMetrics()); + break; + } + case METRICS_NOT_SET: + { + break; + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ModelEvaluation parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.ModelEvaluation) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int metricsCase_ = 0; + private java.lang.Object metrics_; + + public MetricsCase getMetricsCase() { + return MetricsCase.forNumber(metricsCase_); + } + + public Builder clearMetrics() { + metricsCase_ = 0; + metrics_ = null; + onChanged(); + return this; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .Builder, + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetricsOrBuilder> + classificationEvaluationMetricsBuilder_; + /** + * + * + * 
+     * Model evaluation metrics for image, text, video and tables
+     * classification.
+     * Tables problem is considered a classification when the target column
+     * is CATEGORY DataType.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8; + * + * + * @return Whether the classificationEvaluationMetrics field is set. + */ + public boolean hasClassificationEvaluationMetrics() { + return metricsCase_ == 8; + } + /** + * + * + * 
+     * Model evaluation metrics for image, text, video and tables
+     * classification.
+     * Tables problem is considered a classification when the target column
+     * is CATEGORY DataType.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8; + * + * + * @return The classificationEvaluationMetrics. + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + getClassificationEvaluationMetrics() { + if (classificationEvaluationMetricsBuilder_ == null) { + if (metricsCase_ == 8) { + return (com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics) + metrics_; + } + return com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .getDefaultInstance(); + } else { + if (metricsCase_ == 8) { + return classificationEvaluationMetricsBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Model evaluation metrics for image, text, video and tables
+     * classification.
+     * Tables problem is considered a classification when the target column
+     * is CATEGORY DataType.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8; + * + */ + public Builder setClassificationEvaluationMetrics( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics value) { + if (classificationEvaluationMetricsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + metrics_ = value; + onChanged(); + } else { + classificationEvaluationMetricsBuilder_.setMessage(value); + } + metricsCase_ = 8; + return this; + } + /** + * + * + * 
+     * Model evaluation metrics for image, text, video and tables
+     * classification.
+     * Tables problem is considered a classification when the target column
+     * is CATEGORY DataType.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8; + * + */ + public Builder setClassificationEvaluationMetrics( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics.Builder + builderForValue) { + if (classificationEvaluationMetricsBuilder_ == null) { + metrics_ = builderForValue.build(); + onChanged(); + } else { + classificationEvaluationMetricsBuilder_.setMessage(builderForValue.build()); + } + metricsCase_ = 8; + return this; + } + /** + * + * + * 
+     * Model evaluation metrics for image, text, video and tables
+     * classification.
+     * Tables problem is considered a classification when the target column
+     * is CATEGORY DataType.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8; + * + */ + public Builder mergeClassificationEvaluationMetrics( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics value) { + if (classificationEvaluationMetricsBuilder_ == null) { + if (metricsCase_ == 8 + && metrics_ + != com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.getDefaultInstance()) { + metrics_ = + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .newBuilder( + (com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics) + metrics_) + .mergeFrom(value) + .buildPartial(); + } else { + metrics_ = value; + } + onChanged(); + } else { + if (metricsCase_ == 8) { + classificationEvaluationMetricsBuilder_.mergeFrom(value); + } + classificationEvaluationMetricsBuilder_.setMessage(value); + } + metricsCase_ = 8; + return this; + } + /** + * + * + * 
+     * Model evaluation metrics for image, text, video and tables
+     * classification.
+     * Tables problem is considered a classification when the target column
+     * is CATEGORY DataType.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8; + * + */ + public Builder clearClassificationEvaluationMetrics() { + if (classificationEvaluationMetricsBuilder_ == null) { + if (metricsCase_ == 8) { + metricsCase_ = 0; + metrics_ = null; + onChanged(); + } + } else { + if (metricsCase_ == 8) { + metricsCase_ = 0; + metrics_ = null; + } + classificationEvaluationMetricsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Model evaluation metrics for image, text, video and tables
+     * classification.
+     * Tables problem is considered a classification when the target column
+     * is CATEGORY DataType.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .Builder + getClassificationEvaluationMetricsBuilder() { + return getClassificationEvaluationMetricsFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Model evaluation metrics for image, text, video and tables
+     * classification.
+     * Tables problem is considered a classification when the target column
+     * is CATEGORY DataType.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetricsOrBuilder + getClassificationEvaluationMetricsOrBuilder() { + if ((metricsCase_ == 8) && (classificationEvaluationMetricsBuilder_ != null)) { + return classificationEvaluationMetricsBuilder_.getMessageOrBuilder(); + } else { + if (metricsCase_ == 8) { + return (com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics) + metrics_; + } + return com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Model evaluation metrics for image, text, video and tables
+     * classification.
+     * Tables problem is considered a classification when the target column
+     * is CATEGORY DataType.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .Builder, + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetricsOrBuilder> + getClassificationEvaluationMetricsFieldBuilder() { + if (classificationEvaluationMetricsBuilder_ == null) { + if (!(metricsCase_ == 8)) { + metrics_ = + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .getDefaultInstance(); + } + classificationEvaluationMetricsBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .Builder, + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetricsOrBuilder>( + (com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics) + metrics_, + getParentForChildren(), + isClean()); + metrics_ = null; + } + metricsCase_ = 8; + onChanged(); + ; + return classificationEvaluationMetricsBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics, + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.Builder, + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetricsOrBuilder> + regressionEvaluationMetricsBuilder_; + /** + * + * + * 
+     * Model evaluation metrics for Tables regression.
+     * Tables problem is considered a regression when the target column
+     * has FLOAT64 DataType.
+     *
+ * + * + * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24; + * + * + * @return Whether the regressionEvaluationMetrics field is set. + */ + public boolean hasRegressionEvaluationMetrics() { + return metricsCase_ == 24; + } + /** + * + * + * 
+     * Model evaluation metrics for Tables regression.
+     * Tables problem is considered a regression when the target column
+     * has FLOAT64 DataType.
+     *
+ * + * + * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24; + * + * + * @return The regressionEvaluationMetrics. + */ + public com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + getRegressionEvaluationMetrics() { + if (regressionEvaluationMetricsBuilder_ == null) { + if (metricsCase_ == 24) { + return (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) + metrics_; + } + return com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + .getDefaultInstance(); + } else { + if (metricsCase_ == 24) { + return regressionEvaluationMetricsBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Model evaluation metrics for Tables regression.
+     * Tables problem is considered a regression when the target column
+     * has FLOAT64 DataType.
+     *
+ * + * + * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24; + * + */ + public Builder setRegressionEvaluationMetrics( + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics value) { + if (regressionEvaluationMetricsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + metrics_ = value; + onChanged(); + } else { + regressionEvaluationMetricsBuilder_.setMessage(value); + } + metricsCase_ = 24; + return this; + } + /** + * + * + * 
+     * Model evaluation metrics for Tables regression.
+     * Tables problem is considered a regression when the target column
+     * has FLOAT64 DataType.
+     *
+ * + * + * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24; + * + */ + public Builder setRegressionEvaluationMetrics( + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.Builder + builderForValue) { + if (regressionEvaluationMetricsBuilder_ == null) { + metrics_ = builderForValue.build(); + onChanged(); + } else { + regressionEvaluationMetricsBuilder_.setMessage(builderForValue.build()); + } + metricsCase_ = 24; + return this; + } + /** + * + * + * 
+     * Model evaluation metrics for Tables regression.
+     * Tables problem is considered a regression when the target column
+     * has FLOAT64 DataType.
+     *
+ * + * + * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24; + * + */ + public Builder mergeRegressionEvaluationMetrics( + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics value) { + if (regressionEvaluationMetricsBuilder_ == null) { + if (metricsCase_ == 24 + && metrics_ + != com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + .getDefaultInstance()) { + metrics_ = + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + .newBuilder( + (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) + metrics_) + .mergeFrom(value) + .buildPartial(); + } else { + metrics_ = value; + } + onChanged(); + } else { + if (metricsCase_ == 24) { + regressionEvaluationMetricsBuilder_.mergeFrom(value); + } + regressionEvaluationMetricsBuilder_.setMessage(value); + } + metricsCase_ = 24; + return this; + } + /** + * + * + * 
+     * Model evaluation metrics for Tables regression.
+     * Tables problem is considered a regression when the target column
+     * has FLOAT64 DataType.
+     *
+ * + * + * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24; + * + */ + public Builder clearRegressionEvaluationMetrics() { + if (regressionEvaluationMetricsBuilder_ == null) { + if (metricsCase_ == 24) { + metricsCase_ = 0; + metrics_ = null; + onChanged(); + } + } else { + if (metricsCase_ == 24) { + metricsCase_ = 0; + metrics_ = null; + } + regressionEvaluationMetricsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Model evaluation metrics for Tables regression.
+     * Tables problem is considered a regression when the target column
+     * has FLOAT64 DataType.
+     *
+ * + * + * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24; + * + */ + public com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.Builder + getRegressionEvaluationMetricsBuilder() { + return getRegressionEvaluationMetricsFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Model evaluation metrics for Tables regression.
+     * Tables problem is considered a regression when the target column
+     * has FLOAT64 DataType.
+     *
+ * + * + * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24; + * + */ + public com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetricsOrBuilder + getRegressionEvaluationMetricsOrBuilder() { + if ((metricsCase_ == 24) && (regressionEvaluationMetricsBuilder_ != null)) { + return regressionEvaluationMetricsBuilder_.getMessageOrBuilder(); + } else { + if (metricsCase_ == 24) { + return (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) + metrics_; + } + return com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Model evaluation metrics for Tables regression.
+     * Tables problem is considered a regression when the target column
+     * has FLOAT64 DataType.
+     *
+ * + * + * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics, + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.Builder, + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetricsOrBuilder> + getRegressionEvaluationMetricsFieldBuilder() { + if (regressionEvaluationMetricsBuilder_ == null) { + if (!(metricsCase_ == 24)) { + metrics_ = + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + .getDefaultInstance(); + } + regressionEvaluationMetricsBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics, + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.Builder, + com.google.cloud.automl.v1beta1.RegressionProto + .RegressionEvaluationMetricsOrBuilder>( + (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) + metrics_, + getParentForChildren(), + isClean()); + metrics_ = null; + } + metricsCase_ = 24; + onChanged(); + ; + return regressionEvaluationMetricsBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics, + com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.Builder, + com.google.cloud.automl.v1beta1.TranslationEvaluationMetricsOrBuilder> + translationEvaluationMetricsBuilder_; + /** + * + * + * 
+     * Model evaluation metrics for translation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9; + * + * + * @return Whether the translationEvaluationMetrics field is set. + */ + public boolean hasTranslationEvaluationMetrics() { + return metricsCase_ == 9; + } + /** + * + * + * 
+     * Model evaluation metrics for translation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9; + * + * + * @return The translationEvaluationMetrics. + */ + public com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics + getTranslationEvaluationMetrics() { + if (translationEvaluationMetricsBuilder_ == null) { + if (metricsCase_ == 9) { + return (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) metrics_; + } + return com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.getDefaultInstance(); + } else { + if (metricsCase_ == 9) { + return translationEvaluationMetricsBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Model evaluation metrics for translation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9; + * + */ + public Builder setTranslationEvaluationMetrics( + com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics value) { + if (translationEvaluationMetricsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + metrics_ = value; + onChanged(); + } else { + translationEvaluationMetricsBuilder_.setMessage(value); + } + metricsCase_ = 9; + return this; + } + /** + * + * + * 
+     * Model evaluation metrics for translation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9; + * + */ + public Builder setTranslationEvaluationMetrics( + com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.Builder builderForValue) { + if (translationEvaluationMetricsBuilder_ == null) { + metrics_ = builderForValue.build(); + onChanged(); + } else { + translationEvaluationMetricsBuilder_.setMessage(builderForValue.build()); + } + metricsCase_ = 9; + return this; + } + /** + * + * + * 
+     * Model evaluation metrics for translation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9; + * + */ + public Builder mergeTranslationEvaluationMetrics( + com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics value) { + if (translationEvaluationMetricsBuilder_ == null) { + if (metricsCase_ == 9 + && metrics_ + != com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics + .getDefaultInstance()) { + metrics_ = + com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.newBuilder( + (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) metrics_) + .mergeFrom(value) + .buildPartial(); + } else { + metrics_ = value; + } + onChanged(); + } else { + if (metricsCase_ == 9) { + translationEvaluationMetricsBuilder_.mergeFrom(value); + } + translationEvaluationMetricsBuilder_.setMessage(value); + } + metricsCase_ = 9; + return this; + } + /** + * + * + * 
+     * Model evaluation metrics for translation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9; + * + */ + public Builder clearTranslationEvaluationMetrics() { + if (translationEvaluationMetricsBuilder_ == null) { + if (metricsCase_ == 9) { + metricsCase_ = 0; + metrics_ = null; + onChanged(); + } + } else { + if (metricsCase_ == 9) { + metricsCase_ = 0; + metrics_ = null; + } + translationEvaluationMetricsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Model evaluation metrics for translation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9; + * + */ + public com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.Builder + getTranslationEvaluationMetricsBuilder() { + return getTranslationEvaluationMetricsFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Model evaluation metrics for translation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9; + * + */ + public com.google.cloud.automl.v1beta1.TranslationEvaluationMetricsOrBuilder + getTranslationEvaluationMetricsOrBuilder() { + if ((metricsCase_ == 9) && (translationEvaluationMetricsBuilder_ != null)) { + return translationEvaluationMetricsBuilder_.getMessageOrBuilder(); + } else { + if (metricsCase_ == 9) { + return (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) metrics_; + } + return com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Model evaluation metrics for translation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics, + com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.Builder, + com.google.cloud.automl.v1beta1.TranslationEvaluationMetricsOrBuilder> + getTranslationEvaluationMetricsFieldBuilder() { + if (translationEvaluationMetricsBuilder_ == null) { + if (!(metricsCase_ == 9)) { + metrics_ = + com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.getDefaultInstance(); + } + translationEvaluationMetricsBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics, + com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.Builder, + com.google.cloud.automl.v1beta1.TranslationEvaluationMetricsOrBuilder>( + (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) metrics_, + getParentForChildren(), + isClean()); + metrics_ = null; + } + metricsCase_ = 9; + onChanged(); + ; + return translationEvaluationMetricsBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics, + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.Builder, + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetricsOrBuilder> + imageObjectDetectionEvaluationMetricsBuilder_; + /** + * + * + * 
+     * Model evaluation metrics for image object detection.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; + * + * + * @return Whether the imageObjectDetectionEvaluationMetrics field is set. + */ + public boolean hasImageObjectDetectionEvaluationMetrics() { + return metricsCase_ == 12; + } + /** + * + * + * 
+     * Model evaluation metrics for image object detection.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; + * + * + * @return The imageObjectDetectionEvaluationMetrics. + */ + public com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics + getImageObjectDetectionEvaluationMetrics() { + if (imageObjectDetectionEvaluationMetricsBuilder_ == null) { + if (metricsCase_ == 12) { + return (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) metrics_; + } + return com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics + .getDefaultInstance(); + } else { + if (metricsCase_ == 12) { + return imageObjectDetectionEvaluationMetricsBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Model evaluation metrics for image object detection.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; + * + */ + public Builder setImageObjectDetectionEvaluationMetrics( + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics value) { + if (imageObjectDetectionEvaluationMetricsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + metrics_ = value; + onChanged(); + } else { + imageObjectDetectionEvaluationMetricsBuilder_.setMessage(value); + } + metricsCase_ = 12; + return this; + } + /** + * + * + * 
+     * Model evaluation metrics for image object detection.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; + * + */ + public Builder setImageObjectDetectionEvaluationMetrics( + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.Builder + builderForValue) { + if (imageObjectDetectionEvaluationMetricsBuilder_ == null) { + metrics_ = builderForValue.build(); + onChanged(); + } else { + imageObjectDetectionEvaluationMetricsBuilder_.setMessage(builderForValue.build()); + } + metricsCase_ = 12; + return this; + } + /** + * + * + * 
+     * Model evaluation metrics for image object detection.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; + * + */ + public Builder mergeImageObjectDetectionEvaluationMetrics( + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics value) { + if (imageObjectDetectionEvaluationMetricsBuilder_ == null) { + if (metricsCase_ == 12 + && metrics_ + != com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics + .getDefaultInstance()) { + metrics_ = + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.newBuilder( + (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) + metrics_) + .mergeFrom(value) + .buildPartial(); + } else { + metrics_ = value; + } + onChanged(); + } else { + if (metricsCase_ == 12) { + imageObjectDetectionEvaluationMetricsBuilder_.mergeFrom(value); + } + imageObjectDetectionEvaluationMetricsBuilder_.setMessage(value); + } + metricsCase_ = 12; + return this; + } + /** + * + * + * 
+     * Model evaluation metrics for image object detection.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; + * + */ + public Builder clearImageObjectDetectionEvaluationMetrics() { + if (imageObjectDetectionEvaluationMetricsBuilder_ == null) { + if (metricsCase_ == 12) { + metricsCase_ = 0; + metrics_ = null; + onChanged(); + } + } else { + if (metricsCase_ == 12) { + metricsCase_ = 0; + metrics_ = null; + } + imageObjectDetectionEvaluationMetricsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Model evaluation metrics for image object detection.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; + * + */ + public com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.Builder + getImageObjectDetectionEvaluationMetricsBuilder() { + return getImageObjectDetectionEvaluationMetricsFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Model evaluation metrics for image object detection.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; + * + */ + public com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetricsOrBuilder + getImageObjectDetectionEvaluationMetricsOrBuilder() { + if ((metricsCase_ == 12) && (imageObjectDetectionEvaluationMetricsBuilder_ != null)) { + return imageObjectDetectionEvaluationMetricsBuilder_.getMessageOrBuilder(); + } else { + if (metricsCase_ == 12) { + return (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) metrics_; + } + return com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Model evaluation metrics for image object detection.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics, + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.Builder, + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetricsOrBuilder> + getImageObjectDetectionEvaluationMetricsFieldBuilder() { + if (imageObjectDetectionEvaluationMetricsBuilder_ == null) { + if (!(metricsCase_ == 12)) { + metrics_ = + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics + .getDefaultInstance(); + } + imageObjectDetectionEvaluationMetricsBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics, + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.Builder, + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetricsOrBuilder>( + (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) metrics_, + getParentForChildren(), + isClean()); + metrics_ = null; + } + metricsCase_ = 12; + onChanged(); + ; + return imageObjectDetectionEvaluationMetricsBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics, + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics.Builder, + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetricsOrBuilder> + videoObjectTrackingEvaluationMetricsBuilder_; + /** + * + * + * 
+     * Model evaluation metrics for video object tracking.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; + * + * + * @return Whether the videoObjectTrackingEvaluationMetrics field is set. + */ + public boolean hasVideoObjectTrackingEvaluationMetrics() { + return metricsCase_ == 14; + } + /** + * + * + * 
+     * Model evaluation metrics for video object tracking.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; + * + * + * @return The videoObjectTrackingEvaluationMetrics. + */ + public com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics + getVideoObjectTrackingEvaluationMetrics() { + if (videoObjectTrackingEvaluationMetricsBuilder_ == null) { + if (metricsCase_ == 14) { + return (com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics) metrics_; + } + return com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics + .getDefaultInstance(); + } else { + if (metricsCase_ == 14) { + return videoObjectTrackingEvaluationMetricsBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Model evaluation metrics for video object tracking.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; + * + */ + public Builder setVideoObjectTrackingEvaluationMetrics( + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics value) { + if (videoObjectTrackingEvaluationMetricsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + metrics_ = value; + onChanged(); + } else { + videoObjectTrackingEvaluationMetricsBuilder_.setMessage(value); + } + metricsCase_ = 14; + return this; + } + /** + * + * + * 
+     * Model evaluation metrics for video object tracking.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; + * + */ + public Builder setVideoObjectTrackingEvaluationMetrics( + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics.Builder + builderForValue) { + if (videoObjectTrackingEvaluationMetricsBuilder_ == null) { + metrics_ = builderForValue.build(); + onChanged(); + } else { + videoObjectTrackingEvaluationMetricsBuilder_.setMessage(builderForValue.build()); + } + metricsCase_ = 14; + return this; + } + /** + * + * + * 
+     * Model evaluation metrics for video object tracking.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; + * + */ + public Builder mergeVideoObjectTrackingEvaluationMetrics( + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics value) { + if (videoObjectTrackingEvaluationMetricsBuilder_ == null) { + if (metricsCase_ == 14 + && metrics_ + != com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics + .getDefaultInstance()) { + metrics_ = + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics.newBuilder( + (com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics) + metrics_) + .mergeFrom(value) + .buildPartial(); + } else { + metrics_ = value; + } + onChanged(); + } else { + if (metricsCase_ == 14) { + videoObjectTrackingEvaluationMetricsBuilder_.mergeFrom(value); + } + videoObjectTrackingEvaluationMetricsBuilder_.setMessage(value); + } + metricsCase_ = 14; + return this; + } + /** + * + * + * 
+     * Model evaluation metrics for video object tracking.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; + * + */ + public Builder clearVideoObjectTrackingEvaluationMetrics() { + if (videoObjectTrackingEvaluationMetricsBuilder_ == null) { + if (metricsCase_ == 14) { + metricsCase_ = 0; + metrics_ = null; + onChanged(); + } + } else { + if (metricsCase_ == 14) { + metricsCase_ = 0; + metrics_ = null; + } + videoObjectTrackingEvaluationMetricsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Model evaluation metrics for video object tracking.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; + * + */ + public com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics.Builder + getVideoObjectTrackingEvaluationMetricsBuilder() { + return getVideoObjectTrackingEvaluationMetricsFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Model evaluation metrics for video object tracking.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; + * + */ + public com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetricsOrBuilder + getVideoObjectTrackingEvaluationMetricsOrBuilder() { + if ((metricsCase_ == 14) && (videoObjectTrackingEvaluationMetricsBuilder_ != null)) { + return videoObjectTrackingEvaluationMetricsBuilder_.getMessageOrBuilder(); + } else { + if (metricsCase_ == 14) { + return (com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics) metrics_; + } + return com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Model evaluation metrics for video object tracking.
+     *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics, + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics.Builder, + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetricsOrBuilder> + getVideoObjectTrackingEvaluationMetricsFieldBuilder() { + if (videoObjectTrackingEvaluationMetricsBuilder_ == null) { + if (!(metricsCase_ == 14)) { + metrics_ = + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics + .getDefaultInstance(); + } + videoObjectTrackingEvaluationMetricsBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics, + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics.Builder, + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetricsOrBuilder>( + (com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics) metrics_, + getParentForChildren(), + isClean()); + metrics_ = null; + } + metricsCase_ = 14; + onChanged(); + ; + return videoObjectTrackingEvaluationMetricsBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics, + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + .Builder, + com.google.cloud.automl.v1beta1.TextSentimentProto + .TextSentimentEvaluationMetricsOrBuilder> + textSentimentEvaluationMetricsBuilder_; + /** + * + * + * 
+     * Evaluation metrics for text sentiment models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; + * + * + * @return Whether the textSentimentEvaluationMetrics field is set. + */ + public boolean hasTextSentimentEvaluationMetrics() { + return metricsCase_ == 11; + } + /** + * + * + * 
+     * Evaluation metrics for text sentiment models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; + * + * + * @return The textSentimentEvaluationMetrics. + */ + public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + getTextSentimentEvaluationMetrics() { + if (textSentimentEvaluationMetricsBuilder_ == null) { + if (metricsCase_ == 11) { + return (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics) + metrics_; + } + return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + .getDefaultInstance(); + } else { + if (metricsCase_ == 11) { + return textSentimentEvaluationMetricsBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Evaluation metrics for text sentiment models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; + * + */ + public Builder setTextSentimentEvaluationMetrics( + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics value) { + if (textSentimentEvaluationMetricsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + metrics_ = value; + onChanged(); + } else { + textSentimentEvaluationMetricsBuilder_.setMessage(value); + } + metricsCase_ = 11; + return this; + } + /** + * + * + * 
+     * Evaluation metrics for text sentiment models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; + * + */ + public Builder setTextSentimentEvaluationMetrics( + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics.Builder + builderForValue) { + if (textSentimentEvaluationMetricsBuilder_ == null) { + metrics_ = builderForValue.build(); + onChanged(); + } else { + textSentimentEvaluationMetricsBuilder_.setMessage(builderForValue.build()); + } + metricsCase_ = 11; + return this; + } + /** + * + * + * 
+     * Evaluation metrics for text sentiment models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; + * + */ + public Builder mergeTextSentimentEvaluationMetrics( + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics value) { + if (textSentimentEvaluationMetricsBuilder_ == null) { + if (metricsCase_ == 11 + && metrics_ + != com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + .getDefaultInstance()) { + metrics_ = + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + .newBuilder( + (com.google.cloud.automl.v1beta1.TextSentimentProto + .TextSentimentEvaluationMetrics) + metrics_) + .mergeFrom(value) + .buildPartial(); + } else { + metrics_ = value; + } + onChanged(); + } else { + if (metricsCase_ == 11) { + textSentimentEvaluationMetricsBuilder_.mergeFrom(value); + } + textSentimentEvaluationMetricsBuilder_.setMessage(value); + } + metricsCase_ = 11; + return this; + } + /** + * + * + * 
+     * Evaluation metrics for text sentiment models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; + * + */ + public Builder clearTextSentimentEvaluationMetrics() { + if (textSentimentEvaluationMetricsBuilder_ == null) { + if (metricsCase_ == 11) { + metricsCase_ = 0; + metrics_ = null; + onChanged(); + } + } else { + if (metricsCase_ == 11) { + metricsCase_ = 0; + metrics_ = null; + } + textSentimentEvaluationMetricsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Evaluation metrics for text sentiment models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; + * + */ + public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics.Builder + getTextSentimentEvaluationMetricsBuilder() { + return getTextSentimentEvaluationMetricsFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Evaluation metrics for text sentiment models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; + * + */ + public com.google.cloud.automl.v1beta1.TextSentimentProto + .TextSentimentEvaluationMetricsOrBuilder + getTextSentimentEvaluationMetricsOrBuilder() { + if ((metricsCase_ == 11) && (textSentimentEvaluationMetricsBuilder_ != null)) { + return textSentimentEvaluationMetricsBuilder_.getMessageOrBuilder(); + } else { + if (metricsCase_ == 11) { + return (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics) + metrics_; + } + return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Evaluation metrics for text sentiment models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics, + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + .Builder, + com.google.cloud.automl.v1beta1.TextSentimentProto + .TextSentimentEvaluationMetricsOrBuilder> + getTextSentimentEvaluationMetricsFieldBuilder() { + if (textSentimentEvaluationMetricsBuilder_ == null) { + if (!(metricsCase_ == 11)) { + metrics_ = + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + .getDefaultInstance(); + } + textSentimentEvaluationMetricsBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics, + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + .Builder, + com.google.cloud.automl.v1beta1.TextSentimentProto + .TextSentimentEvaluationMetricsOrBuilder>( + (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics) + metrics_, + getParentForChildren(), + isClean()); + metrics_ = null; + } + metricsCase_ = 11; + onChanged(); + ; + return textSentimentEvaluationMetricsBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.Builder, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetricsOrBuilder> + textExtractionEvaluationMetricsBuilder_; + /** + * + * + * 
+     * Evaluation metrics for text extraction models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; + * + * + * @return Whether the textExtractionEvaluationMetrics field is set. + */ + public boolean hasTextExtractionEvaluationMetrics() { + return metricsCase_ == 13; + } + /** + * + * + * 
+     * Evaluation metrics for text extraction models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; + * + * + * @return The textExtractionEvaluationMetrics. + */ + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + getTextExtractionEvaluationMetrics() { + if (textExtractionEvaluationMetricsBuilder_ == null) { + if (metricsCase_ == 13) { + return (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) metrics_; + } + return com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.getDefaultInstance(); + } else { + if (metricsCase_ == 13) { + return textExtractionEvaluationMetricsBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Evaluation metrics for text extraction models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; + * + */ + public Builder setTextExtractionEvaluationMetrics( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics value) { + if (textExtractionEvaluationMetricsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + metrics_ = value; + onChanged(); + } else { + textExtractionEvaluationMetricsBuilder_.setMessage(value); + } + metricsCase_ = 13; + return this; + } + /** + * + * + * 
+     * Evaluation metrics for text extraction models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; + * + */ + public Builder setTextExtractionEvaluationMetrics( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.Builder builderForValue) { + if (textExtractionEvaluationMetricsBuilder_ == null) { + metrics_ = builderForValue.build(); + onChanged(); + } else { + textExtractionEvaluationMetricsBuilder_.setMessage(builderForValue.build()); + } + metricsCase_ = 13; + return this; + } + /** + * + * + * 
+     * Evaluation metrics for text extraction models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; + * + */ + public Builder mergeTextExtractionEvaluationMetrics( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics value) { + if (textExtractionEvaluationMetricsBuilder_ == null) { + if (metricsCase_ == 13 + && metrics_ + != com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .getDefaultInstance()) { + metrics_ = + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.newBuilder( + (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) metrics_) + .mergeFrom(value) + .buildPartial(); + } else { + metrics_ = value; + } + onChanged(); + } else { + if (metricsCase_ == 13) { + textExtractionEvaluationMetricsBuilder_.mergeFrom(value); + } + textExtractionEvaluationMetricsBuilder_.setMessage(value); + } + metricsCase_ = 13; + return this; + } + /** + * + * + * 
+     * Evaluation metrics for text extraction models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; + * + */ + public Builder clearTextExtractionEvaluationMetrics() { + if (textExtractionEvaluationMetricsBuilder_ == null) { + if (metricsCase_ == 13) { + metricsCase_ = 0; + metrics_ = null; + onChanged(); + } + } else { + if (metricsCase_ == 13) { + metricsCase_ = 0; + metrics_ = null; + } + textExtractionEvaluationMetricsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Evaluation metrics for text extraction models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; + * + */ + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.Builder + getTextExtractionEvaluationMetricsBuilder() { + return getTextExtractionEvaluationMetricsFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Evaluation metrics for text extraction models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; + * + */ + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetricsOrBuilder + getTextExtractionEvaluationMetricsOrBuilder() { + if ((metricsCase_ == 13) && (textExtractionEvaluationMetricsBuilder_ != null)) { + return textExtractionEvaluationMetricsBuilder_.getMessageOrBuilder(); + } else { + if (metricsCase_ == 13) { + return (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) metrics_; + } + return com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Evaluation metrics for text extraction models.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.Builder, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetricsOrBuilder> + getTextExtractionEvaluationMetricsFieldBuilder() { + if (textExtractionEvaluationMetricsBuilder_ == null) { + if (!(metricsCase_ == 13)) { + metrics_ = + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.getDefaultInstance(); + } + textExtractionEvaluationMetricsBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.Builder, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetricsOrBuilder>( + (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) metrics_, + getParentForChildren(), + isClean()); + metrics_ = null; + } + metricsCase_ = 13; + onChanged(); + ; + return textExtractionEvaluationMetricsBuilder_; + } + + private java.lang.Object name_ = ""; + /** + * + * + * 
+     * Output only. Resource name of the model evaluation.
+     * Format:
+     * `projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}`
+     *
+ * + * string name = 1; + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Output only. Resource name of the model evaluation.
+     * Format:
+     * `projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}`
+     *
+ * + * string name = 1; + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Output only. Resource name of the model evaluation.
+     * Format:
+     * `projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}`
+     *
+ * + * string name = 1; + * + * @param value The name to set. + * @return This builder for chaining. + */ + public Builder setName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + name_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. Resource name of the model evaluation.
+     * Format:
+     * `projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}`
+     *
+ * + * string name = 1; + * + * @return This builder for chaining. + */ + public Builder clearName() { + + name_ = getDefaultInstance().getName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. Resource name of the model evaluation.
+     * Format:
+     * `projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}`
+     *
+ * + * string name = 1; + * + * @param value The bytes for name to set. + * @return This builder for chaining. + */ + public Builder setNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + name_ = value; + onChanged(); + return this; + } + + private java.lang.Object annotationSpecId_ = ""; + /** + * + * + * 
+     * Output only. The ID of the annotation spec that the model evaluation applies to. The
+     * The ID is empty for the overall model evaluation.
+     * For Tables annotation specs in the dataset do not exist and this ID is
+     * always not set, but for CLASSIFICATION
+     * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+     * the
+     * [display_name][google.cloud.automl.v1beta1.ModelEvaluation.display_name]
+     * field is used.
+     *
+ * + * string annotation_spec_id = 2; + * + * @return The annotationSpecId. + */ + public java.lang.String getAnnotationSpecId() { + java.lang.Object ref = annotationSpecId_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + annotationSpecId_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Output only. The ID of the annotation spec that the model evaluation applies to. The
+     * The ID is empty for the overall model evaluation.
+     * For Tables annotation specs in the dataset do not exist and this ID is
+     * always not set, but for CLASSIFICATION
+     * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+     * the
+     * [display_name][google.cloud.automl.v1beta1.ModelEvaluation.display_name]
+     * field is used.
+     *
+ * + * string annotation_spec_id = 2; + * + * @return The bytes for annotationSpecId. + */ + public com.google.protobuf.ByteString getAnnotationSpecIdBytes() { + java.lang.Object ref = annotationSpecId_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + annotationSpecId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Output only. The ID of the annotation spec that the model evaluation applies to. The
+     * The ID is empty for the overall model evaluation.
+     * For Tables annotation specs in the dataset do not exist and this ID is
+     * always not set, but for CLASSIFICATION
+     * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+     * the
+     * [display_name][google.cloud.automl.v1beta1.ModelEvaluation.display_name]
+     * field is used.
+     *
+ * + * string annotation_spec_id = 2; + * + * @param value The annotationSpecId to set. + * @return This builder for chaining. + */ + public Builder setAnnotationSpecId(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + annotationSpecId_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The ID of the annotation spec that the model evaluation applies to. The
+     * The ID is empty for the overall model evaluation.
+     * For Tables annotation specs in the dataset do not exist and this ID is
+     * always not set, but for CLASSIFICATION
+     * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+     * the
+     * [display_name][google.cloud.automl.v1beta1.ModelEvaluation.display_name]
+     * field is used.
+     *
+ * + * string annotation_spec_id = 2; + * + * @return This builder for chaining. + */ + public Builder clearAnnotationSpecId() { + + annotationSpecId_ = getDefaultInstance().getAnnotationSpecId(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The ID of the annotation spec that the model evaluation applies to. The
+     * The ID is empty for the overall model evaluation.
+     * For Tables annotation specs in the dataset do not exist and this ID is
+     * always not set, but for CLASSIFICATION
+     * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+     * the
+     * [display_name][google.cloud.automl.v1beta1.ModelEvaluation.display_name]
+     * field is used.
+     *
+ * + * string annotation_spec_id = 2; + * + * @param value The bytes for annotationSpecId to set. + * @return This builder for chaining. + */ + public Builder setAnnotationSpecIdBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + annotationSpecId_ = value; + onChanged(); + return this; + } + + private java.lang.Object displayName_ = ""; + /** + * + * + * 
+     * Output only. The value of
+     * [display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] at
+     * the moment when the model was trained. Because this field returns a value
+     * at model training time, for different models trained from the same dataset,
+     * the values may differ, since display names could had been changed between
+     * the two model's trainings.
+     * For Tables CLASSIFICATION
+     * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+     * distinct values of the target column at the moment of the model evaluation
+     * are populated here.
+     * The display_name is empty for the overall model evaluation.
+     *
+ * + * string display_name = 15; + * + * @return The displayName. + */ + public java.lang.String getDisplayName() { + java.lang.Object ref = displayName_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + displayName_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Output only. The value of
+     * [display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] at
+     * the moment when the model was trained. Because this field returns a value
+     * at model training time, for different models trained from the same dataset,
+     * the values may differ, since display names could had been changed between
+     * the two model's trainings.
+     * For Tables CLASSIFICATION
+     * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+     * distinct values of the target column at the moment of the model evaluation
+     * are populated here.
+     * The display_name is empty for the overall model evaluation.
+     *
+ * + * string display_name = 15; + * + * @return The bytes for displayName. + */ + public com.google.protobuf.ByteString getDisplayNameBytes() { + java.lang.Object ref = displayName_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + displayName_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Output only. The value of
+     * [display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] at
+     * the moment when the model was trained. Because this field returns a value
+     * at model training time, for different models trained from the same dataset,
+     * the values may differ, since display names could had been changed between
+     * the two model's trainings.
+     * For Tables CLASSIFICATION
+     * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+     * distinct values of the target column at the moment of the model evaluation
+     * are populated here.
+     * The display_name is empty for the overall model evaluation.
+     *
+ * + * string display_name = 15; + * + * @param value The displayName to set. + * @return This builder for chaining. + */ + public Builder setDisplayName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + displayName_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The value of
+     * [display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] at
+     * the moment when the model was trained. Because this field returns a value
+     * at model training time, for different models trained from the same dataset,
+     * the values may differ, since display names could had been changed between
+     * the two model's trainings.
+     * For Tables CLASSIFICATION
+     * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+     * distinct values of the target column at the moment of the model evaluation
+     * are populated here.
+     * The display_name is empty for the overall model evaluation.
+     *
+ * + * string display_name = 15; + * + * @return This builder for chaining. + */ + public Builder clearDisplayName() { + + displayName_ = getDefaultInstance().getDisplayName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The value of
+     * [display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] at
+     * the moment when the model was trained. Because this field returns a value
+     * at model training time, for different models trained from the same dataset,
+     * the values may differ, since display names could had been changed between
+     * the two model's trainings.
+     * For Tables CLASSIFICATION
+     * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+     * distinct values of the target column at the moment of the model evaluation
+     * are populated here.
+     * The display_name is empty for the overall model evaluation.
+     *
+ * + * string display_name = 15; + * + * @param value The bytes for displayName to set. + * @return This builder for chaining. + */ + public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + displayName_ = value; + onChanged(); + return this; + } + + private com.google.protobuf.Timestamp createTime_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Timestamp, + com.google.protobuf.Timestamp.Builder, + com.google.protobuf.TimestampOrBuilder> + createTimeBuilder_; + /** + * + * + * 
+     * Output only. Timestamp when this model evaluation was created.
+     *
+ * + * .google.protobuf.Timestamp create_time = 5; + * + * @return Whether the createTime field is set. + */ + public boolean hasCreateTime() { + return createTimeBuilder_ != null || createTime_ != null; + } + /** + * + * + * 
+     * Output only. Timestamp when this model evaluation was created.
+     *
+ * + * .google.protobuf.Timestamp create_time = 5; + * + * @return The createTime. + */ + public com.google.protobuf.Timestamp getCreateTime() { + if (createTimeBuilder_ == null) { + return createTime_ == null + ? com.google.protobuf.Timestamp.getDefaultInstance() + : createTime_; + } else { + return createTimeBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Output only. Timestamp when this model evaluation was created.
+     *
+ * + * .google.protobuf.Timestamp create_time = 5; + */ + public Builder setCreateTime(com.google.protobuf.Timestamp value) { + if (createTimeBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + createTime_ = value; + onChanged(); + } else { + createTimeBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. Timestamp when this model evaluation was created.
+     *
+ * + * .google.protobuf.Timestamp create_time = 5; + */ + public Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) { + if (createTimeBuilder_ == null) { + createTime_ = builderForValue.build(); + onChanged(); + } else { + createTimeBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Output only. Timestamp when this model evaluation was created.
+     *
+ * + * .google.protobuf.Timestamp create_time = 5; + */ + public Builder mergeCreateTime(com.google.protobuf.Timestamp value) { + if (createTimeBuilder_ == null) { + if (createTime_ != null) { + createTime_ = + com.google.protobuf.Timestamp.newBuilder(createTime_).mergeFrom(value).buildPartial(); + } else { + createTime_ = value; + } + onChanged(); + } else { + createTimeBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. Timestamp when this model evaluation was created.
+     *
+ * + * .google.protobuf.Timestamp create_time = 5; + */ + public Builder clearCreateTime() { + if (createTimeBuilder_ == null) { + createTime_ = null; + onChanged(); + } else { + createTime_ = null; + createTimeBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Output only. Timestamp when this model evaluation was created.
+     *
+ * + * .google.protobuf.Timestamp create_time = 5; + */ + public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder() { + + onChanged(); + return getCreateTimeFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Output only. Timestamp when this model evaluation was created.
+     *
+ * + * .google.protobuf.Timestamp create_time = 5; + */ + public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() { + if (createTimeBuilder_ != null) { + return createTimeBuilder_.getMessageOrBuilder(); + } else { + return createTime_ == null + ? com.google.protobuf.Timestamp.getDefaultInstance() + : createTime_; + } + } + /** + * + * + * 
+     * Output only. Timestamp when this model evaluation was created.
+     *
+ * + * .google.protobuf.Timestamp create_time = 5; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Timestamp, + com.google.protobuf.Timestamp.Builder, + com.google.protobuf.TimestampOrBuilder> + getCreateTimeFieldBuilder() { + if (createTimeBuilder_ == null) { + createTimeBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Timestamp, + com.google.protobuf.Timestamp.Builder, + com.google.protobuf.TimestampOrBuilder>( + getCreateTime(), getParentForChildren(), isClean()); + createTime_ = null; + } + return createTimeBuilder_; + } + + private int evaluatedExampleCount_; + /** + * + * + * 
+     * Output only. The number of examples used for model evaluation, i.e. for
+     * which ground truth from time of model creation is compared against the
+     * predicted annotations created by the model.
+     * For overall ModelEvaluation (i.e. with annotation_spec_id not set) this is
+     * the total number of all examples used for evaluation.
+     * Otherwise, this is the count of examples that according to the ground
+     * truth were annotated by the
+     * [annotation_spec_id][google.cloud.automl.v1beta1.ModelEvaluation.annotation_spec_id].
+     *
+ * + * int32 evaluated_example_count = 6; + * + * @return The evaluatedExampleCount. + */ + public int getEvaluatedExampleCount() { + return evaluatedExampleCount_; + } + /** + * + * + * 
+     * Output only. The number of examples used for model evaluation, i.e. for
+     * which ground truth from time of model creation is compared against the
+     * predicted annotations created by the model.
+     * For overall ModelEvaluation (i.e. with annotation_spec_id not set) this is
+     * the total number of all examples used for evaluation.
+     * Otherwise, this is the count of examples that according to the ground
+     * truth were annotated by the
+     * [annotation_spec_id][google.cloud.automl.v1beta1.ModelEvaluation.annotation_spec_id].
+     *
+ * + * int32 evaluated_example_count = 6; + * + * @param value The evaluatedExampleCount to set. + * @return This builder for chaining. + */ + public Builder setEvaluatedExampleCount(int value) { + + evaluatedExampleCount_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The number of examples used for model evaluation, i.e. for
+     * which ground truth from time of model creation is compared against the
+     * predicted annotations created by the model.
+     * For overall ModelEvaluation (i.e. with annotation_spec_id not set) this is
+     * the total number of all examples used for evaluation.
+     * Otherwise, this is the count of examples that according to the ground
+     * truth were annotated by the
+     * [annotation_spec_id][google.cloud.automl.v1beta1.ModelEvaluation.annotation_spec_id].
+     *
+ * + * int32 evaluated_example_count = 6; + * + * @return This builder for chaining. + */ + public Builder clearEvaluatedExampleCount() { + + evaluatedExampleCount_ = 0; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ModelEvaluation) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ModelEvaluation) + private static final com.google.cloud.automl.v1beta1.ModelEvaluation DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ModelEvaluation(); + } + + public static com.google.cloud.automl.v1beta1.ModelEvaluation getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ModelEvaluation parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ModelEvaluation(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ModelEvaluation getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelEvaluationName.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelEvaluationName.java new file mode 100644 index 000000000..57c5efe05 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelEvaluationName.java @@ -0,0 +1,251 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package com.google.cloud.automl.v1beta1; + +import com.google.api.pathtemplate.PathTemplate; +import com.google.api.resourcenames.ResourceName; +import com.google.common.base.Preconditions; +import com.google.common.collect.ImmutableMap; +import java.util.ArrayList; +import java.util.List; +import java.util.Map; + +/** AUTO-GENERATED DOCUMENTATION AND CLASS */ +@javax.annotation.Generated("by GAPIC protoc plugin") +public class ModelEvaluationName implements ResourceName { + + private static final PathTemplate PATH_TEMPLATE = + PathTemplate.createWithoutUrlEncoding( + "projects/{project}/locations/{location}/models/{model}/modelEvaluations/{model_evaluation}"); + + private volatile Map fieldValuesMap; + + private final String project; + private final String location; + private final String model; + private final String modelEvaluation; + + public String getProject() { + return project; + } + + public String getLocation() { + return location; + } + + public String getModel() { + return model; + } + + public String getModelEvaluation() { + return modelEvaluation; + } + + public static Builder newBuilder() { + return new Builder(); + } + + public Builder toBuilder() { + return new Builder(this); + } + + private ModelEvaluationName(Builder builder) { + project = Preconditions.checkNotNull(builder.getProject()); + location = Preconditions.checkNotNull(builder.getLocation()); + model = Preconditions.checkNotNull(builder.getModel()); + modelEvaluation = Preconditions.checkNotNull(builder.getModelEvaluation()); + } + + public static ModelEvaluationName of( + String project, String location, String model, String modelEvaluation) { + return newBuilder() + .setProject(project) + .setLocation(location) + .setModel(model) + .setModelEvaluation(modelEvaluation) + .build(); + } + + public static String format( + String project, String location, String model, String modelEvaluation) { + return newBuilder() + .setProject(project) + .setLocation(location) + .setModel(model) + .setModelEvaluation(modelEvaluation) + .build() + .toString(); + } + + public static ModelEvaluationName parse(String formattedString) { + if (formattedString.isEmpty()) { + return null; + } + Map matchMap = + PATH_TEMPLATE.validatedMatch( + formattedString, "ModelEvaluationName.parse: formattedString not in valid format"); + return of( + matchMap.get("project"), + matchMap.get("location"), + matchMap.get("model"), + matchMap.get("model_evaluation")); + } + + public static List parseList(List formattedStrings) { + List list = new ArrayList<>(formattedStrings.size()); + for (String formattedString : formattedStrings) { + list.add(parse(formattedString)); + } + return list; + } + + public static List toStringList(List values) { + List list = new ArrayList(values.size()); + for (ModelEvaluationName value : values) { + if (value == null) { + list.add(""); + } else { + list.add(value.toString()); + } + } + return list; + } + + public static boolean isParsableFrom(String formattedString) { + return PATH_TEMPLATE.matches(formattedString); + } + + public Map getFieldValuesMap() { + if (fieldValuesMap == null) { + synchronized (this) { + if (fieldValuesMap == null) { + ImmutableMap.Builder fieldMapBuilder = ImmutableMap.builder(); + fieldMapBuilder.put("project", project); + fieldMapBuilder.put("location", location); + fieldMapBuilder.put("model", model); + fieldMapBuilder.put("modelEvaluation", modelEvaluation); + fieldValuesMap = fieldMapBuilder.build(); + } + } + } + return fieldValuesMap; + } + + public String getFieldValue(String fieldName) { + return getFieldValuesMap().get(fieldName); + } + + @Override + public String toString() { + return PATH_TEMPLATE.instantiate( + "project", + project, + "location", + location, + "model", + model, + "model_evaluation", + modelEvaluation); + } + + /** Builder for ModelEvaluationName. */ + public static class Builder { + + private String project; + private String location; + private String model; + private String modelEvaluation; + + public String getProject() { + return project; + } + + public String getLocation() { + return location; + } + + public String getModel() { + return model; + } + + public String getModelEvaluation() { + return modelEvaluation; + } + + public Builder setProject(String project) { + this.project = project; + return this; + } + + public Builder setLocation(String location) { + this.location = location; + return this; + } + + public Builder setModel(String model) { + this.model = model; + return this; + } + + public Builder setModelEvaluation(String modelEvaluation) { + this.modelEvaluation = modelEvaluation; + return this; + } + + private Builder() {} + + private Builder(ModelEvaluationName modelEvaluationName) { + project = modelEvaluationName.project; + location = modelEvaluationName.location; + model = modelEvaluationName.model; + modelEvaluation = modelEvaluationName.modelEvaluation; + } + + public ModelEvaluationName build() { + return new ModelEvaluationName(this); + } + } + + @Override + public boolean equals(Object o) { + if (o == this) { + return true; + } + if (o instanceof ModelEvaluationName) { + ModelEvaluationName that = (ModelEvaluationName) o; + return (this.project.equals(that.project)) + && (this.location.equals(that.location)) + && (this.model.equals(that.model)) + && (this.modelEvaluation.equals(that.modelEvaluation)); + } + return false; + } + + @Override + public int hashCode() { + int h = 1; + h *= 1000003; + h ^= project.hashCode(); + h *= 1000003; + h ^= location.hashCode(); + h *= 1000003; + h ^= model.hashCode(); + h *= 1000003; + h ^= modelEvaluation.hashCode(); + return h; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelEvaluationOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelEvaluationOrBuilder.java new file mode 100644 index 000000000..f1b473442 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelEvaluationOrBuilder.java @@ -0,0 +1,510 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/model_evaluation.proto + +package com.google.cloud.automl.v1beta1; + +public interface ModelEvaluationOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ModelEvaluation) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Model evaluation metrics for image, text, video and tables
+   * classification.
+   * Tables problem is considered a classification when the target column
+   * is CATEGORY DataType.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8; + * + * + * @return Whether the classificationEvaluationMetrics field is set. + */ + boolean hasClassificationEvaluationMetrics(); + /** + * + * + * 
+   * Model evaluation metrics for image, text, video and tables
+   * classification.
+   * Tables problem is considered a classification when the target column
+   * is CATEGORY DataType.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8; + * + * + * @return The classificationEvaluationMetrics. + */ + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + getClassificationEvaluationMetrics(); + /** + * + * + * 
+   * Model evaluation metrics for image, text, video and tables
+   * classification.
+   * Tables problem is considered a classification when the target column
+   * is CATEGORY DataType.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8; + * + */ + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetricsOrBuilder + getClassificationEvaluationMetricsOrBuilder(); + + /** + * + * + * 
+   * Model evaluation metrics for Tables regression.
+   * Tables problem is considered a regression when the target column
+   * has FLOAT64 DataType.
+   *
+ * + * + * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24; + * + * + * @return Whether the regressionEvaluationMetrics field is set. + */ + boolean hasRegressionEvaluationMetrics(); + /** + * + * + * 
+   * Model evaluation metrics for Tables regression.
+   * Tables problem is considered a regression when the target column
+   * has FLOAT64 DataType.
+   *
+ * + * + * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24; + * + * + * @return The regressionEvaluationMetrics. + */ + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + getRegressionEvaluationMetrics(); + /** + * + * + * 
+   * Model evaluation metrics for Tables regression.
+   * Tables problem is considered a regression when the target column
+   * has FLOAT64 DataType.
+   *
+ * + * + * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24; + * + */ + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetricsOrBuilder + getRegressionEvaluationMetricsOrBuilder(); + + /** + * + * + * 
+   * Model evaluation metrics for translation.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9; + * + * + * @return Whether the translationEvaluationMetrics field is set. + */ + boolean hasTranslationEvaluationMetrics(); + /** + * + * + * 
+   * Model evaluation metrics for translation.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9; + * + * + * @return The translationEvaluationMetrics. + */ + com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics getTranslationEvaluationMetrics(); + /** + * + * + * 
+   * Model evaluation metrics for translation.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9; + * + */ + com.google.cloud.automl.v1beta1.TranslationEvaluationMetricsOrBuilder + getTranslationEvaluationMetricsOrBuilder(); + + /** + * + * + * 
+   * Model evaluation metrics for image object detection.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; + * + * + * @return Whether the imageObjectDetectionEvaluationMetrics field is set. + */ + boolean hasImageObjectDetectionEvaluationMetrics(); + /** + * + * + * 
+   * Model evaluation metrics for image object detection.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; + * + * + * @return The imageObjectDetectionEvaluationMetrics. + */ + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics + getImageObjectDetectionEvaluationMetrics(); + /** + * + * + * 
+   * Model evaluation metrics for image object detection.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; + * + */ + com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetricsOrBuilder + getImageObjectDetectionEvaluationMetricsOrBuilder(); + + /** + * + * + * 
+   * Model evaluation metrics for video object tracking.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; + * + * + * @return Whether the videoObjectTrackingEvaluationMetrics field is set. + */ + boolean hasVideoObjectTrackingEvaluationMetrics(); + /** + * + * + * 
+   * Model evaluation metrics for video object tracking.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; + * + * + * @return The videoObjectTrackingEvaluationMetrics. + */ + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics + getVideoObjectTrackingEvaluationMetrics(); + /** + * + * + * 
+   * Model evaluation metrics for video object tracking.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; + * + */ + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetricsOrBuilder + getVideoObjectTrackingEvaluationMetricsOrBuilder(); + + /** + * + * + * 
+   * Evaluation metrics for text sentiment models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; + * + * + * @return Whether the textSentimentEvaluationMetrics field is set. + */ + boolean hasTextSentimentEvaluationMetrics(); + /** + * + * + * 
+   * Evaluation metrics for text sentiment models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; + * + * + * @return The textSentimentEvaluationMetrics. + */ + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + getTextSentimentEvaluationMetrics(); + /** + * + * + * 
+   * Evaluation metrics for text sentiment models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; + * + */ + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetricsOrBuilder + getTextSentimentEvaluationMetricsOrBuilder(); + + /** + * + * + * 
+   * Evaluation metrics for text extraction models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; + * + * + * @return Whether the textExtractionEvaluationMetrics field is set. + */ + boolean hasTextExtractionEvaluationMetrics(); + /** + * + * + * 
+   * Evaluation metrics for text extraction models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; + * + * + * @return The textExtractionEvaluationMetrics. + */ + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + getTextExtractionEvaluationMetrics(); + /** + * + * + * 
+   * Evaluation metrics for text extraction models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; + * + */ + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetricsOrBuilder + getTextExtractionEvaluationMetricsOrBuilder(); + + /** + * + * + * 
+   * Output only. Resource name of the model evaluation.
+   * Format:
+   * `projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}`
+   *
+ * + * string name = 1; + * + * @return The name. + */ + java.lang.String getName(); + /** + * + * + * 
+   * Output only. Resource name of the model evaluation.
+   * Format:
+   * `projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}`
+   *
+ * + * string name = 1; + * + * @return The bytes for name. + */ + com.google.protobuf.ByteString getNameBytes(); + + /** + * + * + * 
+   * Output only. The ID of the annotation spec that the model evaluation applies to. The
+   * The ID is empty for the overall model evaluation.
+   * For Tables annotation specs in the dataset do not exist and this ID is
+   * always not set, but for CLASSIFICATION
+   * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+   * the
+   * [display_name][google.cloud.automl.v1beta1.ModelEvaluation.display_name]
+   * field is used.
+   *
+ * + * string annotation_spec_id = 2; + * + * @return The annotationSpecId. + */ + java.lang.String getAnnotationSpecId(); + /** + * + * + * 
+   * Output only. The ID of the annotation spec that the model evaluation applies to. The
+   * The ID is empty for the overall model evaluation.
+   * For Tables annotation specs in the dataset do not exist and this ID is
+   * always not set, but for CLASSIFICATION
+   * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+   * the
+   * [display_name][google.cloud.automl.v1beta1.ModelEvaluation.display_name]
+   * field is used.
+   *
+ * + * string annotation_spec_id = 2; + * + * @return The bytes for annotationSpecId. + */ + com.google.protobuf.ByteString getAnnotationSpecIdBytes(); + + /** + * + * + * 
+   * Output only. The value of
+   * [display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] at
+   * the moment when the model was trained. Because this field returns a value
+   * at model training time, for different models trained from the same dataset,
+   * the values may differ, since display names could had been changed between
+   * the two model's trainings.
+   * For Tables CLASSIFICATION
+   * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+   * distinct values of the target column at the moment of the model evaluation
+   * are populated here.
+   * The display_name is empty for the overall model evaluation.
+   *
+ * + * string display_name = 15; + * + * @return The displayName. + */ + java.lang.String getDisplayName(); + /** + * + * + * 
+   * Output only. The value of
+   * [display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] at
+   * the moment when the model was trained. Because this field returns a value
+   * at model training time, for different models trained from the same dataset,
+   * the values may differ, since display names could had been changed between
+   * the two model's trainings.
+   * For Tables CLASSIFICATION
+   * [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
+   * distinct values of the target column at the moment of the model evaluation
+   * are populated here.
+   * The display_name is empty for the overall model evaluation.
+   *
+ * + * string display_name = 15; + * + * @return The bytes for displayName. + */ + com.google.protobuf.ByteString getDisplayNameBytes(); + + /** + * + * + * 
+   * Output only. Timestamp when this model evaluation was created.
+   *
+ * + * .google.protobuf.Timestamp create_time = 5; + * + * @return Whether the createTime field is set. + */ + boolean hasCreateTime(); + /** + * + * + * 
+   * Output only. Timestamp when this model evaluation was created.
+   *
+ * + * .google.protobuf.Timestamp create_time = 5; + * + * @return The createTime. + */ + com.google.protobuf.Timestamp getCreateTime(); + /** + * + * + * 
+   * Output only. Timestamp when this model evaluation was created.
+   *
+ * + * .google.protobuf.Timestamp create_time = 5; + */ + com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder(); + + /** + * + * + * 
+   * Output only. The number of examples used for model evaluation, i.e. for
+   * which ground truth from time of model creation is compared against the
+   * predicted annotations created by the model.
+   * For overall ModelEvaluation (i.e. with annotation_spec_id not set) this is
+   * the total number of all examples used for evaluation.
+   * Otherwise, this is the count of examples that according to the ground
+   * truth were annotated by the
+   * [annotation_spec_id][google.cloud.automl.v1beta1.ModelEvaluation.annotation_spec_id].
+   *
+ * + * int32 evaluated_example_count = 6; + * + * @return The evaluatedExampleCount. + */ + int getEvaluatedExampleCount(); + + public com.google.cloud.automl.v1beta1.ModelEvaluation.MetricsCase getMetricsCase(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelEvaluationOuterClass.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelEvaluationOuterClass.java new file mode 100644 index 000000000..c86e09bb8 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelEvaluationOuterClass.java @@ -0,0 +1,141 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/model_evaluation.proto + +package com.google.cloud.automl.v1beta1; + +public final class ModelEvaluationOuterClass { + private ModelEvaluationOuterClass() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ModelEvaluation_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ModelEvaluation_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n2google/cloud/automl/v1beta1/model_eval" + + "uation.proto\022\033google.cloud.automl.v1beta" + + "1\032\031google/api/resource.proto\0320google/clo" + + "ud/automl/v1beta1/classification.proto\032+" + + "google/cloud/automl/v1beta1/detection.pr" + + "oto\032,google/cloud/automl/v1beta1/regress" + + "ion.proto\032(google/cloud/automl/v1beta1/t" + + "ables.proto\0321google/cloud/automl/v1beta1" + + "/text_extraction.proto\0320google/cloud/aut" + + "oml/v1beta1/text_sentiment.proto\032-google" + + "/cloud/automl/v1beta1/translation.proto\032" + + "\037google/protobuf/timestamp.proto\032\034google" + + "/api/annotations.proto\"\261\010\n\017ModelEvaluati" + + "on\022i\n!classification_evaluation_metrics\030" + + "\010 \001(\0132<.google.cloud.automl.v1beta1.Clas" + + "sificationEvaluationMetricsH\000\022a\n\035regress" + + "ion_evaluation_metrics\030\030 \001(\01328.google.cl" + + "oud.automl.v1beta1.RegressionEvaluationM" + + "etricsH\000\022c\n\036translation_evaluation_metri" + + "cs\030\t \001(\01329.google.cloud.automl.v1beta1.T" + + "ranslationEvaluationMetricsH\000\022w\n)image_o" + + "bject_detection_evaluation_metrics\030\014 \001(\013" + + "2B.google.cloud.automl.v1beta1.ImageObje" + + "ctDetectionEvaluationMetricsH\000\022u\n(video_" + + "object_tracking_evaluation_metrics\030\016 \001(\013" + + "2A.google.cloud.automl.v1beta1.VideoObje" + + "ctTrackingEvaluationMetricsH\000\022h\n!text_se" + + "ntiment_evaluation_metrics\030\013 \001(\0132;.googl" + + "e.cloud.automl.v1beta1.TextSentimentEval" + + "uationMetricsH\000\022j\n\"text_extraction_evalu" + + "ation_metrics\030\r \001(\0132<.google.cloud.autom" + + "l.v1beta1.TextExtractionEvaluationMetric" + + "sH\000\022\014\n\004name\030\001 \001(\t\022\032\n\022annotation_spec_id\030" + + "\002 \001(\t\022\024\n\014display_name\030\017 \001(\t\022/\n\013create_ti" + + "me\030\005 \001(\0132\032.google.protobuf.Timestamp\022\037\n\027" + + "evaluated_example_count\030\006 \001(\005:\207\001\352A\203\001\n%au" + + "toml.googleapis.com/ModelEvaluation\022Zpro" + + "jects/{project}/locations/{location}/mod" + + "els/{model}/modelEvaluations/{model_eval" + + "uation}B\t\n\007metricsB\245\001\n\037com.google.cloud." + + "automl.v1beta1P\001ZAgoogle.golang.org/genp" + + "roto/googleapis/cloud/automl/v1beta1;aut" + + "oml\312\002\033Google\\Cloud\\AutoMl\\V1beta1\352\002\036Goog" + + "le::Cloud::AutoML::V1beta1b\006proto3" + }; + descriptor = + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.api.ResourceProto.getDescriptor(), + com.google.cloud.automl.v1beta1.ClassificationProto.getDescriptor(), + com.google.cloud.automl.v1beta1.Detection.getDescriptor(), + com.google.cloud.automl.v1beta1.RegressionProto.getDescriptor(), + com.google.cloud.automl.v1beta1.Tables.getDescriptor(), + com.google.cloud.automl.v1beta1.TextExtraction.getDescriptor(), + com.google.cloud.automl.v1beta1.TextSentimentProto.getDescriptor(), + com.google.cloud.automl.v1beta1.TranslationProto.getDescriptor(), + com.google.protobuf.TimestampProto.getDescriptor(), + com.google.api.AnnotationsProto.getDescriptor(), + }); + internal_static_google_cloud_automl_v1beta1_ModelEvaluation_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_ModelEvaluation_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ModelEvaluation_descriptor, + new java.lang.String[] { + "ClassificationEvaluationMetrics", + "RegressionEvaluationMetrics", + "TranslationEvaluationMetrics", + "ImageObjectDetectionEvaluationMetrics", + "VideoObjectTrackingEvaluationMetrics", + "TextSentimentEvaluationMetrics", + "TextExtractionEvaluationMetrics", + "Name", + "AnnotationSpecId", + "DisplayName", + "CreateTime", + "EvaluatedExampleCount", + "Metrics", + }); + com.google.protobuf.ExtensionRegistry registry = + com.google.protobuf.ExtensionRegistry.newInstance(); + registry.add(com.google.api.ResourceProto.resource); + com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor( + descriptor, registry); + com.google.api.ResourceProto.getDescriptor(); + com.google.cloud.automl.v1beta1.ClassificationProto.getDescriptor(); + com.google.cloud.automl.v1beta1.Detection.getDescriptor(); + com.google.cloud.automl.v1beta1.RegressionProto.getDescriptor(); + com.google.cloud.automl.v1beta1.Tables.getDescriptor(); + com.google.cloud.automl.v1beta1.TextExtraction.getDescriptor(); + com.google.cloud.automl.v1beta1.TextSentimentProto.getDescriptor(); + com.google.cloud.automl.v1beta1.TranslationProto.getDescriptor(); + com.google.protobuf.TimestampProto.getDescriptor(); + com.google.api.AnnotationsProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelExportOutputConfig.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelExportOutputConfig.java new file mode 100644 index 000000000..9ad66ed12 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelExportOutputConfig.java @@ -0,0 +1,1969 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/io.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Output configuration for ModelExport Action.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ModelExportOutputConfig} + */ +public final class ModelExportOutputConfig extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ModelExportOutputConfig) + ModelExportOutputConfigOrBuilder { + private static final long serialVersionUID = 0L; + // Use ModelExportOutputConfig.newBuilder() to construct. + private ModelExportOutputConfig(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ModelExportOutputConfig() { + modelFormat_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ModelExportOutputConfig(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ModelExportOutputConfig( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + com.google.cloud.automl.v1beta1.GcsDestination.Builder subBuilder = null; + if (destinationCase_ == 1) { + subBuilder = + ((com.google.cloud.automl.v1beta1.GcsDestination) destination_).toBuilder(); + } + destination_ = + input.readMessage( + com.google.cloud.automl.v1beta1.GcsDestination.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.GcsDestination) destination_); + destination_ = subBuilder.buildPartial(); + } + destinationCase_ = 1; + break; + } + case 18: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + params_ = + com.google.protobuf.MapField.newMapField(ParamsDefaultEntryHolder.defaultEntry); + mutable_bitField0_ |= 0x00000001; + } + com.google.protobuf.MapEntry params__ = + input.readMessage( + ParamsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry); + params_.getMutableMap().put(params__.getKey(), params__.getValue()); + break; + } + case 26: + { + com.google.cloud.automl.v1beta1.GcrDestination.Builder subBuilder = null; + if (destinationCase_ == 3) { + subBuilder = + ((com.google.cloud.automl.v1beta1.GcrDestination) destination_).toBuilder(); + } + destination_ = + input.readMessage( + com.google.cloud.automl.v1beta1.GcrDestination.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.GcrDestination) destination_); + destination_ = subBuilder.buildPartial(); + } + destinationCase_ = 3; + break; + } + case 34: + { + java.lang.String s = input.readStringRequireUtf8(); + + modelFormat_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + @java.lang.Override + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 2: + return internalGetParams(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ModelExportOutputConfig.class, + com.google.cloud.automl.v1beta1.ModelExportOutputConfig.Builder.class); + } + + private int destinationCase_ = 0; + private java.lang.Object destination_; + + public enum DestinationCase + implements + com.google.protobuf.Internal.EnumLite, + com.google.protobuf.AbstractMessage.InternalOneOfEnum { + GCS_DESTINATION(1), + GCR_DESTINATION(3), + DESTINATION_NOT_SET(0); + private final int value; + + private DestinationCase(int value) { + this.value = value; + } + /** + * @param value The number of the enum to look for. + * @return The enum associated with the given number. + * @deprecated Use {@link #forNumber(int)} instead. + */ + @java.lang.Deprecated + public static DestinationCase valueOf(int value) { + return forNumber(value); + } + + public static DestinationCase forNumber(int value) { + switch (value) { + case 1: + return GCS_DESTINATION; + case 3: + return GCR_DESTINATION; + case 0: + return DESTINATION_NOT_SET; + default: + return null; + } + } + + public int getNumber() { + return this.value; + } + }; + + public DestinationCase getDestinationCase() { + return DestinationCase.forNumber(destinationCase_); + } + + public static final int GCS_DESTINATION_FIELD_NUMBER = 1; + /** + * + * + * 
+   * The Google Cloud Storage location where the model is to be written to.
+   * This location may only be set for the following model formats:
+   *   "tflite", "edgetpu_tflite", "tf_saved_model", "tf_js", "core_ml".
+   *  Under the directory given as the destination a new one with name
+   *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+   *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+   *  will be created. Inside the model and any of its supporting files
+   *  will be written.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + * + * @return Whether the gcsDestination field is set. + */ + public boolean hasGcsDestination() { + return destinationCase_ == 1; + } + /** + * + * + * 
+   * The Google Cloud Storage location where the model is to be written to.
+   * This location may only be set for the following model formats:
+   *   "tflite", "edgetpu_tflite", "tf_saved_model", "tf_js", "core_ml".
+   *  Under the directory given as the destination a new one with name
+   *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+   *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+   *  will be created. Inside the model and any of its supporting files
+   *  will be written.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + * + * @return The gcsDestination. + */ + public com.google.cloud.automl.v1beta1.GcsDestination getGcsDestination() { + if (destinationCase_ == 1) { + return (com.google.cloud.automl.v1beta1.GcsDestination) destination_; + } + return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance(); + } + /** + * + * + * 
+   * The Google Cloud Storage location where the model is to be written to.
+   * This location may only be set for the following model formats:
+   *   "tflite", "edgetpu_tflite", "tf_saved_model", "tf_js", "core_ml".
+   *  Under the directory given as the destination a new one with name
+   *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+   *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+   *  will be created. Inside the model and any of its supporting files
+   *  will be written.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + */ + public com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder getGcsDestinationOrBuilder() { + if (destinationCase_ == 1) { + return (com.google.cloud.automl.v1beta1.GcsDestination) destination_; + } + return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance(); + } + + public static final int GCR_DESTINATION_FIELD_NUMBER = 3; + /** + * + * + * 
+   * The GCR location where model image is to be pushed to. This location
+   * may only be set for the following model formats:
+   *   "docker".
+   * The model image will be created under the given URI.
+   *
+ * + * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3; + * + * @return Whether the gcrDestination field is set. + */ + public boolean hasGcrDestination() { + return destinationCase_ == 3; + } + /** + * + * + * 
+   * The GCR location where model image is to be pushed to. This location
+   * may only be set for the following model formats:
+   *   "docker".
+   * The model image will be created under the given URI.
+   *
+ * + * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3; + * + * @return The gcrDestination. + */ + public com.google.cloud.automl.v1beta1.GcrDestination getGcrDestination() { + if (destinationCase_ == 3) { + return (com.google.cloud.automl.v1beta1.GcrDestination) destination_; + } + return com.google.cloud.automl.v1beta1.GcrDestination.getDefaultInstance(); + } + /** + * + * + * 
+   * The GCR location where model image is to be pushed to. This location
+   * may only be set for the following model formats:
+   *   "docker".
+   * The model image will be created under the given URI.
+   *
+ * + * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3; + */ + public com.google.cloud.automl.v1beta1.GcrDestinationOrBuilder getGcrDestinationOrBuilder() { + if (destinationCase_ == 3) { + return (com.google.cloud.automl.v1beta1.GcrDestination) destination_; + } + return com.google.cloud.automl.v1beta1.GcrDestination.getDefaultInstance(); + } + + public static final int MODEL_FORMAT_FIELD_NUMBER = 4; + private volatile java.lang.Object modelFormat_; + /** + * + * + * 
+   * The format in which the model must be exported. The available, and default,
+   * formats depend on the problem and model type (if given problem and type
+   * combination doesn't have a format listed, it means its models are not
+   * exportable):
+   * *  For Image Classification mobile-low-latency-1, mobile-versatile-1,
+   *        mobile-high-accuracy-1:
+   *      "tflite" (default), "edgetpu_tflite", "tf_saved_model", "tf_js",
+   *      "docker".
+   * *  For Image Classification mobile-core-ml-low-latency-1,
+   *        mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
+   *      "core_ml" (default).
+   * Formats description:
+   * * tflite - Used for Android mobile devices.
+   * * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
+   *                    devices.
+   * * tf_saved_model - A tensorflow model in SavedModel format.
+   * * tf_js - A [TensorFlow.js](https://www.tensorflow.org/js) model that can
+   *           be used in the browser and in Node.js using JavaScript.
+   * * docker - Used for Docker containers. Use the params field to customize
+   *            the container. The container is verified to work correctly on
+   *            ubuntu 16.04 operating system. See more at
+   *            [containers
+   * quickstart](https:
+   * //cloud.google.com/vision/automl/docs/containers-gcs-quickstart)
+   * * core_ml - Used for iOS mobile devices.
+   *
+ * + * string model_format = 4; + * + * @return The modelFormat. + */ + public java.lang.String getModelFormat() { + java.lang.Object ref = modelFormat_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + modelFormat_ = s; + return s; + } + } + /** + * + * + * 
+   * The format in which the model must be exported. The available, and default,
+   * formats depend on the problem and model type (if given problem and type
+   * combination doesn't have a format listed, it means its models are not
+   * exportable):
+   * *  For Image Classification mobile-low-latency-1, mobile-versatile-1,
+   *        mobile-high-accuracy-1:
+   *      "tflite" (default), "edgetpu_tflite", "tf_saved_model", "tf_js",
+   *      "docker".
+   * *  For Image Classification mobile-core-ml-low-latency-1,
+   *        mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
+   *      "core_ml" (default).
+   * Formats description:
+   * * tflite - Used for Android mobile devices.
+   * * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
+   *                    devices.
+   * * tf_saved_model - A tensorflow model in SavedModel format.
+   * * tf_js - A [TensorFlow.js](https://www.tensorflow.org/js) model that can
+   *           be used in the browser and in Node.js using JavaScript.
+   * * docker - Used for Docker containers. Use the params field to customize
+   *            the container. The container is verified to work correctly on
+   *            ubuntu 16.04 operating system. See more at
+   *            [containers
+   * quickstart](https:
+   * //cloud.google.com/vision/automl/docs/containers-gcs-quickstart)
+   * * core_ml - Used for iOS mobile devices.
+   *
+ * + * string model_format = 4; + * + * @return The bytes for modelFormat. + */ + public com.google.protobuf.ByteString getModelFormatBytes() { + java.lang.Object ref = modelFormat_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + modelFormat_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int PARAMS_FIELD_NUMBER = 2; + + private static final class ParamsDefaultEntryHolder { + static final com.google.protobuf.MapEntry defaultEntry = + com.google.protobuf.MapEntry.newDefaultInstance( + com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_ParamsEntry_descriptor, + com.google.protobuf.WireFormat.FieldType.STRING, + "", + com.google.protobuf.WireFormat.FieldType.STRING, + ""); + } + + private com.google.protobuf.MapField params_; + + private com.google.protobuf.MapField internalGetParams() { + if (params_ == null) { + return com.google.protobuf.MapField.emptyMapField(ParamsDefaultEntryHolder.defaultEntry); + } + return params_; + } + + public int getParamsCount() { + return internalGetParams().getMap().size(); + } + /** + * + * + * 
+   * Additional model-type and format specific parameters describing the
+   * requirements for the to be exported model files, any string must be up to
+   * 25000 characters long.
+   *  * For `docker` format:
+   *     `cpu_architecture` - (string) "x86_64" (default).
+   *     `gpu_architecture` - (string) "none" (default), "nvidia".
+   *
+ * + * map<string, string> params = 2; + */ + public boolean containsParams(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetParams().getMap().containsKey(key); + } + /** Use {@link #getParamsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map getParams() { + return getParamsMap(); + } + /** + * + * + * 
+   * Additional model-type and format specific parameters describing the
+   * requirements for the to be exported model files, any string must be up to
+   * 25000 characters long.
+   *  * For `docker` format:
+   *     `cpu_architecture` - (string) "x86_64" (default).
+   *     `gpu_architecture` - (string) "none" (default), "nvidia".
+   *
+ * + * map<string, string> params = 2; + */ + public java.util.Map getParamsMap() { + return internalGetParams().getMap(); + } + /** + * + * + * 
+   * Additional model-type and format specific parameters describing the
+   * requirements for the to be exported model files, any string must be up to
+   * 25000 characters long.
+   *  * For `docker` format:
+   *     `cpu_architecture` - (string) "x86_64" (default).
+   *     `gpu_architecture` - (string) "none" (default), "nvidia".
+   *
+ * + * map<string, string> params = 2; + */ + public java.lang.String getParamsOrDefault(java.lang.String key, java.lang.String defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = internalGetParams().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+   * Additional model-type and format specific parameters describing the
+   * requirements for the to be exported model files, any string must be up to
+   * 25000 characters long.
+   *  * For `docker` format:
+   *     `cpu_architecture` - (string) "x86_64" (default).
+   *     `gpu_architecture` - (string) "none" (default), "nvidia".
+   *
+ * + * map<string, string> params = 2; + */ + public java.lang.String getParamsOrThrow(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = internalGetParams().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (destinationCase_ == 1) { + output.writeMessage(1, (com.google.cloud.automl.v1beta1.GcsDestination) destination_); + } + com.google.protobuf.GeneratedMessageV3.serializeStringMapTo( + output, internalGetParams(), ParamsDefaultEntryHolder.defaultEntry, 2); + if (destinationCase_ == 3) { + output.writeMessage(3, (com.google.cloud.automl.v1beta1.GcrDestination) destination_); + } + if (!getModelFormatBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 4, modelFormat_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (destinationCase_ == 1) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 1, (com.google.cloud.automl.v1beta1.GcsDestination) destination_); + } + for (java.util.Map.Entry entry : + internalGetParams().getMap().entrySet()) { + com.google.protobuf.MapEntry params__ = + ParamsDefaultEntryHolder.defaultEntry + .newBuilderForType() + .setKey(entry.getKey()) + .setValue(entry.getValue()) + .build(); + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, params__); + } + if (destinationCase_ == 3) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 3, (com.google.cloud.automl.v1beta1.GcrDestination) destination_); + } + if (!getModelFormatBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(4, modelFormat_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.ModelExportOutputConfig)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.ModelExportOutputConfig other = + (com.google.cloud.automl.v1beta1.ModelExportOutputConfig) obj; + + if (!getModelFormat().equals(other.getModelFormat())) return false; + if (!internalGetParams().equals(other.internalGetParams())) return false; + if (!getDestinationCase().equals(other.getDestinationCase())) return false; + switch (destinationCase_) { + case 1: + if (!getGcsDestination().equals(other.getGcsDestination())) return false; + break; + case 3: + if (!getGcrDestination().equals(other.getGcrDestination())) return false; + break; + case 0: + default: + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + MODEL_FORMAT_FIELD_NUMBER; + hash = (53 * hash) + getModelFormat().hashCode(); + if (!internalGetParams().getMap().isEmpty()) { + hash = (37 * hash) + PARAMS_FIELD_NUMBER; + hash = (53 * hash) + internalGetParams().hashCode(); + } + switch (destinationCase_) { + case 1: + hash = (37 * hash) + GCS_DESTINATION_FIELD_NUMBER; + hash = (53 * hash) + getGcsDestination().hashCode(); + break; + case 3: + hash = (37 * hash) + GCR_DESTINATION_FIELD_NUMBER; + hash = (53 * hash) + getGcrDestination().hashCode(); + break; + case 0: + default: + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.ModelExportOutputConfig prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Output configuration for ModelExport Action.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.ModelExportOutputConfig} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ModelExportOutputConfig) + com.google.cloud.automl.v1beta1.ModelExportOutputConfigOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 2: + return internalGetParams(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMutableMapField(int number) { + switch (number) { + case 2: + return internalGetMutableParams(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.ModelExportOutputConfig.class, + com.google.cloud.automl.v1beta1.ModelExportOutputConfig.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.ModelExportOutputConfig.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + modelFormat_ = ""; + + internalGetMutableParams().clear(); + destinationCase_ = 0; + destination_ = null; + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ModelExportOutputConfig getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.ModelExportOutputConfig.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ModelExportOutputConfig build() { + com.google.cloud.automl.v1beta1.ModelExportOutputConfig result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ModelExportOutputConfig buildPartial() { + com.google.cloud.automl.v1beta1.ModelExportOutputConfig result = + new com.google.cloud.automl.v1beta1.ModelExportOutputConfig(this); + int from_bitField0_ = bitField0_; + if (destinationCase_ == 1) { + if (gcsDestinationBuilder_ == null) { + result.destination_ = destination_; + } else { + result.destination_ = gcsDestinationBuilder_.build(); + } + } + if (destinationCase_ == 3) { + if (gcrDestinationBuilder_ == null) { + result.destination_ = destination_; + } else { + result.destination_ = gcrDestinationBuilder_.build(); + } + } + result.modelFormat_ = modelFormat_; + result.params_ = internalGetParams(); + result.params_.makeImmutable(); + result.destinationCase_ = destinationCase_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.ModelExportOutputConfig) { + return mergeFrom((com.google.cloud.automl.v1beta1.ModelExportOutputConfig) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.ModelExportOutputConfig other) { + if (other == com.google.cloud.automl.v1beta1.ModelExportOutputConfig.getDefaultInstance()) + return this; + if (!other.getModelFormat().isEmpty()) { + modelFormat_ = other.modelFormat_; + onChanged(); + } + internalGetMutableParams().mergeFrom(other.internalGetParams()); + switch (other.getDestinationCase()) { + case GCS_DESTINATION: + { + mergeGcsDestination(other.getGcsDestination()); + break; + } + case GCR_DESTINATION: + { + mergeGcrDestination(other.getGcrDestination()); + break; + } + case DESTINATION_NOT_SET: + { + break; + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.ModelExportOutputConfig parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.ModelExportOutputConfig) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int destinationCase_ = 0; + private java.lang.Object destination_; + + public DestinationCase getDestinationCase() { + return DestinationCase.forNumber(destinationCase_); + } + + public Builder clearDestination() { + destinationCase_ = 0; + destination_ = null; + onChanged(); + return this; + } + + private int bitField0_; + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.GcsDestination, + com.google.cloud.automl.v1beta1.GcsDestination.Builder, + com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder> + gcsDestinationBuilder_; + /** + * + * + * 
+     * The Google Cloud Storage location where the model is to be written to.
+     * This location may only be set for the following model formats:
+     *   "tflite", "edgetpu_tflite", "tf_saved_model", "tf_js", "core_ml".
+     *  Under the directory given as the destination a new one with name
+     *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+     *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+     *  will be created. Inside the model and any of its supporting files
+     *  will be written.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + * + * @return Whether the gcsDestination field is set. + */ + public boolean hasGcsDestination() { + return destinationCase_ == 1; + } + /** + * + * + * 
+     * The Google Cloud Storage location where the model is to be written to.
+     * This location may only be set for the following model formats:
+     *   "tflite", "edgetpu_tflite", "tf_saved_model", "tf_js", "core_ml".
+     *  Under the directory given as the destination a new one with name
+     *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+     *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+     *  will be created. Inside the model and any of its supporting files
+     *  will be written.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + * + * @return The gcsDestination. + */ + public com.google.cloud.automl.v1beta1.GcsDestination getGcsDestination() { + if (gcsDestinationBuilder_ == null) { + if (destinationCase_ == 1) { + return (com.google.cloud.automl.v1beta1.GcsDestination) destination_; + } + return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance(); + } else { + if (destinationCase_ == 1) { + return gcsDestinationBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The Google Cloud Storage location where the model is to be written to.
+     * This location may only be set for the following model formats:
+     *   "tflite", "edgetpu_tflite", "tf_saved_model", "tf_js", "core_ml".
+     *  Under the directory given as the destination a new one with name
+     *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+     *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+     *  will be created. Inside the model and any of its supporting files
+     *  will be written.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + */ + public Builder setGcsDestination(com.google.cloud.automl.v1beta1.GcsDestination value) { + if (gcsDestinationBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + destination_ = value; + onChanged(); + } else { + gcsDestinationBuilder_.setMessage(value); + } + destinationCase_ = 1; + return this; + } + /** + * + * + * 
+     * The Google Cloud Storage location where the model is to be written to.
+     * This location may only be set for the following model formats:
+     *   "tflite", "edgetpu_tflite", "tf_saved_model", "tf_js", "core_ml".
+     *  Under the directory given as the destination a new one with name
+     *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+     *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+     *  will be created. Inside the model and any of its supporting files
+     *  will be written.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + */ + public Builder setGcsDestination( + com.google.cloud.automl.v1beta1.GcsDestination.Builder builderForValue) { + if (gcsDestinationBuilder_ == null) { + destination_ = builderForValue.build(); + onChanged(); + } else { + gcsDestinationBuilder_.setMessage(builderForValue.build()); + } + destinationCase_ = 1; + return this; + } + /** + * + * + * 
+     * The Google Cloud Storage location where the model is to be written to.
+     * This location may only be set for the following model formats:
+     *   "tflite", "edgetpu_tflite", "tf_saved_model", "tf_js", "core_ml".
+     *  Under the directory given as the destination a new one with name
+     *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+     *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+     *  will be created. Inside the model and any of its supporting files
+     *  will be written.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + */ + public Builder mergeGcsDestination(com.google.cloud.automl.v1beta1.GcsDestination value) { + if (gcsDestinationBuilder_ == null) { + if (destinationCase_ == 1 + && destination_ + != com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance()) { + destination_ = + com.google.cloud.automl.v1beta1.GcsDestination.newBuilder( + (com.google.cloud.automl.v1beta1.GcsDestination) destination_) + .mergeFrom(value) + .buildPartial(); + } else { + destination_ = value; + } + onChanged(); + } else { + if (destinationCase_ == 1) { + gcsDestinationBuilder_.mergeFrom(value); + } + gcsDestinationBuilder_.setMessage(value); + } + destinationCase_ = 1; + return this; + } + /** + * + * + * 
+     * The Google Cloud Storage location where the model is to be written to.
+     * This location may only be set for the following model formats:
+     *   "tflite", "edgetpu_tflite", "tf_saved_model", "tf_js", "core_ml".
+     *  Under the directory given as the destination a new one with name
+     *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+     *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+     *  will be created. Inside the model and any of its supporting files
+     *  will be written.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + */ + public Builder clearGcsDestination() { + if (gcsDestinationBuilder_ == null) { + if (destinationCase_ == 1) { + destinationCase_ = 0; + destination_ = null; + onChanged(); + } + } else { + if (destinationCase_ == 1) { + destinationCase_ = 0; + destination_ = null; + } + gcsDestinationBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * The Google Cloud Storage location where the model is to be written to.
+     * This location may only be set for the following model formats:
+     *   "tflite", "edgetpu_tflite", "tf_saved_model", "tf_js", "core_ml".
+     *  Under the directory given as the destination a new one with name
+     *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+     *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+     *  will be created. Inside the model and any of its supporting files
+     *  will be written.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + */ + public com.google.cloud.automl.v1beta1.GcsDestination.Builder getGcsDestinationBuilder() { + return getGcsDestinationFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The Google Cloud Storage location where the model is to be written to.
+     * This location may only be set for the following model formats:
+     *   "tflite", "edgetpu_tflite", "tf_saved_model", "tf_js", "core_ml".
+     *  Under the directory given as the destination a new one with name
+     *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+     *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+     *  will be created. Inside the model and any of its supporting files
+     *  will be written.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + */ + public com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder getGcsDestinationOrBuilder() { + if ((destinationCase_ == 1) && (gcsDestinationBuilder_ != null)) { + return gcsDestinationBuilder_.getMessageOrBuilder(); + } else { + if (destinationCase_ == 1) { + return (com.google.cloud.automl.v1beta1.GcsDestination) destination_; + } + return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The Google Cloud Storage location where the model is to be written to.
+     * This location may only be set for the following model formats:
+     *   "tflite", "edgetpu_tflite", "tf_saved_model", "tf_js", "core_ml".
+     *  Under the directory given as the destination a new one with name
+     *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+     *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+     *  will be created. Inside the model and any of its supporting files
+     *  will be written.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.GcsDestination, + com.google.cloud.automl.v1beta1.GcsDestination.Builder, + com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder> + getGcsDestinationFieldBuilder() { + if (gcsDestinationBuilder_ == null) { + if (!(destinationCase_ == 1)) { + destination_ = com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance(); + } + gcsDestinationBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.GcsDestination, + com.google.cloud.automl.v1beta1.GcsDestination.Builder, + com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder>( + (com.google.cloud.automl.v1beta1.GcsDestination) destination_, + getParentForChildren(), + isClean()); + destination_ = null; + } + destinationCase_ = 1; + onChanged(); + ; + return gcsDestinationBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.GcrDestination, + com.google.cloud.automl.v1beta1.GcrDestination.Builder, + com.google.cloud.automl.v1beta1.GcrDestinationOrBuilder> + gcrDestinationBuilder_; + /** + * + * + * 
+     * The GCR location where model image is to be pushed to. This location
+     * may only be set for the following model formats:
+     *   "docker".
+     * The model image will be created under the given URI.
+     *
+ * + * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3; + * + * @return Whether the gcrDestination field is set. + */ + public boolean hasGcrDestination() { + return destinationCase_ == 3; + } + /** + * + * + * 
+     * The GCR location where model image is to be pushed to. This location
+     * may only be set for the following model formats:
+     *   "docker".
+     * The model image will be created under the given URI.
+     *
+ * + * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3; + * + * @return The gcrDestination. + */ + public com.google.cloud.automl.v1beta1.GcrDestination getGcrDestination() { + if (gcrDestinationBuilder_ == null) { + if (destinationCase_ == 3) { + return (com.google.cloud.automl.v1beta1.GcrDestination) destination_; + } + return com.google.cloud.automl.v1beta1.GcrDestination.getDefaultInstance(); + } else { + if (destinationCase_ == 3) { + return gcrDestinationBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.GcrDestination.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The GCR location where model image is to be pushed to. This location
+     * may only be set for the following model formats:
+     *   "docker".
+     * The model image will be created under the given URI.
+     *
+ * + * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3; + */ + public Builder setGcrDestination(com.google.cloud.automl.v1beta1.GcrDestination value) { + if (gcrDestinationBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + destination_ = value; + onChanged(); + } else { + gcrDestinationBuilder_.setMessage(value); + } + destinationCase_ = 3; + return this; + } + /** + * + * + * 
+     * The GCR location where model image is to be pushed to. This location
+     * may only be set for the following model formats:
+     *   "docker".
+     * The model image will be created under the given URI.
+     *
+ * + * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3; + */ + public Builder setGcrDestination( + com.google.cloud.automl.v1beta1.GcrDestination.Builder builderForValue) { + if (gcrDestinationBuilder_ == null) { + destination_ = builderForValue.build(); + onChanged(); + } else { + gcrDestinationBuilder_.setMessage(builderForValue.build()); + } + destinationCase_ = 3; + return this; + } + /** + * + * + * 
+     * The GCR location where model image is to be pushed to. This location
+     * may only be set for the following model formats:
+     *   "docker".
+     * The model image will be created under the given URI.
+     *
+ * + * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3; + */ + public Builder mergeGcrDestination(com.google.cloud.automl.v1beta1.GcrDestination value) { + if (gcrDestinationBuilder_ == null) { + if (destinationCase_ == 3 + && destination_ + != com.google.cloud.automl.v1beta1.GcrDestination.getDefaultInstance()) { + destination_ = + com.google.cloud.automl.v1beta1.GcrDestination.newBuilder( + (com.google.cloud.automl.v1beta1.GcrDestination) destination_) + .mergeFrom(value) + .buildPartial(); + } else { + destination_ = value; + } + onChanged(); + } else { + if (destinationCase_ == 3) { + gcrDestinationBuilder_.mergeFrom(value); + } + gcrDestinationBuilder_.setMessage(value); + } + destinationCase_ = 3; + return this; + } + /** + * + * + * 
+     * The GCR location where model image is to be pushed to. This location
+     * may only be set for the following model formats:
+     *   "docker".
+     * The model image will be created under the given URI.
+     *
+ * + * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3; + */ + public Builder clearGcrDestination() { + if (gcrDestinationBuilder_ == null) { + if (destinationCase_ == 3) { + destinationCase_ = 0; + destination_ = null; + onChanged(); + } + } else { + if (destinationCase_ == 3) { + destinationCase_ = 0; + destination_ = null; + } + gcrDestinationBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * The GCR location where model image is to be pushed to. This location
+     * may only be set for the following model formats:
+     *   "docker".
+     * The model image will be created under the given URI.
+     *
+ * + * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3; + */ + public com.google.cloud.automl.v1beta1.GcrDestination.Builder getGcrDestinationBuilder() { + return getGcrDestinationFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The GCR location where model image is to be pushed to. This location
+     * may only be set for the following model formats:
+     *   "docker".
+     * The model image will be created under the given URI.
+     *
+ * + * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3; + */ + public com.google.cloud.automl.v1beta1.GcrDestinationOrBuilder getGcrDestinationOrBuilder() { + if ((destinationCase_ == 3) && (gcrDestinationBuilder_ != null)) { + return gcrDestinationBuilder_.getMessageOrBuilder(); + } else { + if (destinationCase_ == 3) { + return (com.google.cloud.automl.v1beta1.GcrDestination) destination_; + } + return com.google.cloud.automl.v1beta1.GcrDestination.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The GCR location where model image is to be pushed to. This location
+     * may only be set for the following model formats:
+     *   "docker".
+     * The model image will be created under the given URI.
+     *
+ * + * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.GcrDestination, + com.google.cloud.automl.v1beta1.GcrDestination.Builder, + com.google.cloud.automl.v1beta1.GcrDestinationOrBuilder> + getGcrDestinationFieldBuilder() { + if (gcrDestinationBuilder_ == null) { + if (!(destinationCase_ == 3)) { + destination_ = com.google.cloud.automl.v1beta1.GcrDestination.getDefaultInstance(); + } + gcrDestinationBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.GcrDestination, + com.google.cloud.automl.v1beta1.GcrDestination.Builder, + com.google.cloud.automl.v1beta1.GcrDestinationOrBuilder>( + (com.google.cloud.automl.v1beta1.GcrDestination) destination_, + getParentForChildren(), + isClean()); + destination_ = null; + } + destinationCase_ = 3; + onChanged(); + ; + return gcrDestinationBuilder_; + } + + private java.lang.Object modelFormat_ = ""; + /** + * + * + * 
+     * The format in which the model must be exported. The available, and default,
+     * formats depend on the problem and model type (if given problem and type
+     * combination doesn't have a format listed, it means its models are not
+     * exportable):
+     * *  For Image Classification mobile-low-latency-1, mobile-versatile-1,
+     *        mobile-high-accuracy-1:
+     *      "tflite" (default), "edgetpu_tflite", "tf_saved_model", "tf_js",
+     *      "docker".
+     * *  For Image Classification mobile-core-ml-low-latency-1,
+     *        mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
+     *      "core_ml" (default).
+     * Formats description:
+     * * tflite - Used for Android mobile devices.
+     * * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
+     *                    devices.
+     * * tf_saved_model - A tensorflow model in SavedModel format.
+     * * tf_js - A [TensorFlow.js](https://www.tensorflow.org/js) model that can
+     *           be used in the browser and in Node.js using JavaScript.
+     * * docker - Used for Docker containers. Use the params field to customize
+     *            the container. The container is verified to work correctly on
+     *            ubuntu 16.04 operating system. See more at
+     *            [containers
+     * quickstart](https:
+     * //cloud.google.com/vision/automl/docs/containers-gcs-quickstart)
+     * * core_ml - Used for iOS mobile devices.
+     *
+ * + * string model_format = 4; + * + * @return The modelFormat. + */ + public java.lang.String getModelFormat() { + java.lang.Object ref = modelFormat_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + modelFormat_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * The format in which the model must be exported. The available, and default,
+     * formats depend on the problem and model type (if given problem and type
+     * combination doesn't have a format listed, it means its models are not
+     * exportable):
+     * *  For Image Classification mobile-low-latency-1, mobile-versatile-1,
+     *        mobile-high-accuracy-1:
+     *      "tflite" (default), "edgetpu_tflite", "tf_saved_model", "tf_js",
+     *      "docker".
+     * *  For Image Classification mobile-core-ml-low-latency-1,
+     *        mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
+     *      "core_ml" (default).
+     * Formats description:
+     * * tflite - Used for Android mobile devices.
+     * * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
+     *                    devices.
+     * * tf_saved_model - A tensorflow model in SavedModel format.
+     * * tf_js - A [TensorFlow.js](https://www.tensorflow.org/js) model that can
+     *           be used in the browser and in Node.js using JavaScript.
+     * * docker - Used for Docker containers. Use the params field to customize
+     *            the container. The container is verified to work correctly on
+     *            ubuntu 16.04 operating system. See more at
+     *            [containers
+     * quickstart](https:
+     * //cloud.google.com/vision/automl/docs/containers-gcs-quickstart)
+     * * core_ml - Used for iOS mobile devices.
+     *
+ * + * string model_format = 4; + * + * @return The bytes for modelFormat. + */ + public com.google.protobuf.ByteString getModelFormatBytes() { + java.lang.Object ref = modelFormat_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + modelFormat_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * The format in which the model must be exported. The available, and default,
+     * formats depend on the problem and model type (if given problem and type
+     * combination doesn't have a format listed, it means its models are not
+     * exportable):
+     * *  For Image Classification mobile-low-latency-1, mobile-versatile-1,
+     *        mobile-high-accuracy-1:
+     *      "tflite" (default), "edgetpu_tflite", "tf_saved_model", "tf_js",
+     *      "docker".
+     * *  For Image Classification mobile-core-ml-low-latency-1,
+     *        mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
+     *      "core_ml" (default).
+     * Formats description:
+     * * tflite - Used for Android mobile devices.
+     * * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
+     *                    devices.
+     * * tf_saved_model - A tensorflow model in SavedModel format.
+     * * tf_js - A [TensorFlow.js](https://www.tensorflow.org/js) model that can
+     *           be used in the browser and in Node.js using JavaScript.
+     * * docker - Used for Docker containers. Use the params field to customize
+     *            the container. The container is verified to work correctly on
+     *            ubuntu 16.04 operating system. See more at
+     *            [containers
+     * quickstart](https:
+     * //cloud.google.com/vision/automl/docs/containers-gcs-quickstart)
+     * * core_ml - Used for iOS mobile devices.
+     *
+ * + * string model_format = 4; + * + * @param value The modelFormat to set. + * @return This builder for chaining. + */ + public Builder setModelFormat(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + modelFormat_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * The format in which the model must be exported. The available, and default,
+     * formats depend on the problem and model type (if given problem and type
+     * combination doesn't have a format listed, it means its models are not
+     * exportable):
+     * *  For Image Classification mobile-low-latency-1, mobile-versatile-1,
+     *        mobile-high-accuracy-1:
+     *      "tflite" (default), "edgetpu_tflite", "tf_saved_model", "tf_js",
+     *      "docker".
+     * *  For Image Classification mobile-core-ml-low-latency-1,
+     *        mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
+     *      "core_ml" (default).
+     * Formats description:
+     * * tflite - Used for Android mobile devices.
+     * * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
+     *                    devices.
+     * * tf_saved_model - A tensorflow model in SavedModel format.
+     * * tf_js - A [TensorFlow.js](https://www.tensorflow.org/js) model that can
+     *           be used in the browser and in Node.js using JavaScript.
+     * * docker - Used for Docker containers. Use the params field to customize
+     *            the container. The container is verified to work correctly on
+     *            ubuntu 16.04 operating system. See more at
+     *            [containers
+     * quickstart](https:
+     * //cloud.google.com/vision/automl/docs/containers-gcs-quickstart)
+     * * core_ml - Used for iOS mobile devices.
+     *
+ * + * string model_format = 4; + * + * @return This builder for chaining. + */ + public Builder clearModelFormat() { + + modelFormat_ = getDefaultInstance().getModelFormat(); + onChanged(); + return this; + } + /** + * + * + * 
+     * The format in which the model must be exported. The available, and default,
+     * formats depend on the problem and model type (if given problem and type
+     * combination doesn't have a format listed, it means its models are not
+     * exportable):
+     * *  For Image Classification mobile-low-latency-1, mobile-versatile-1,
+     *        mobile-high-accuracy-1:
+     *      "tflite" (default), "edgetpu_tflite", "tf_saved_model", "tf_js",
+     *      "docker".
+     * *  For Image Classification mobile-core-ml-low-latency-1,
+     *        mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
+     *      "core_ml" (default).
+     * Formats description:
+     * * tflite - Used for Android mobile devices.
+     * * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
+     *                    devices.
+     * * tf_saved_model - A tensorflow model in SavedModel format.
+     * * tf_js - A [TensorFlow.js](https://www.tensorflow.org/js) model that can
+     *           be used in the browser and in Node.js using JavaScript.
+     * * docker - Used for Docker containers. Use the params field to customize
+     *            the container. The container is verified to work correctly on
+     *            ubuntu 16.04 operating system. See more at
+     *            [containers
+     * quickstart](https:
+     * //cloud.google.com/vision/automl/docs/containers-gcs-quickstart)
+     * * core_ml - Used for iOS mobile devices.
+     *
+ * + * string model_format = 4; + * + * @param value The bytes for modelFormat to set. + * @return This builder for chaining. + */ + public Builder setModelFormatBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + modelFormat_ = value; + onChanged(); + return this; + } + + private com.google.protobuf.MapField params_; + + private com.google.protobuf.MapField internalGetParams() { + if (params_ == null) { + return com.google.protobuf.MapField.emptyMapField(ParamsDefaultEntryHolder.defaultEntry); + } + return params_; + } + + private com.google.protobuf.MapField + internalGetMutableParams() { + onChanged(); + ; + if (params_ == null) { + params_ = com.google.protobuf.MapField.newMapField(ParamsDefaultEntryHolder.defaultEntry); + } + if (!params_.isMutable()) { + params_ = params_.copy(); + } + return params_; + } + + public int getParamsCount() { + return internalGetParams().getMap().size(); + } + /** + * + * + * 
+     * Additional model-type and format specific parameters describing the
+     * requirements for the to be exported model files, any string must be up to
+     * 25000 characters long.
+     *  * For `docker` format:
+     *     `cpu_architecture` - (string) "x86_64" (default).
+     *     `gpu_architecture` - (string) "none" (default), "nvidia".
+     *
+ * + * map<string, string> params = 2; + */ + public boolean containsParams(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetParams().getMap().containsKey(key); + } + /** Use {@link #getParamsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map getParams() { + return getParamsMap(); + } + /** + * + * + * 
+     * Additional model-type and format specific parameters describing the
+     * requirements for the to be exported model files, any string must be up to
+     * 25000 characters long.
+     *  * For `docker` format:
+     *     `cpu_architecture` - (string) "x86_64" (default).
+     *     `gpu_architecture` - (string) "none" (default), "nvidia".
+     *
+ * + * map<string, string> params = 2; + */ + public java.util.Map getParamsMap() { + return internalGetParams().getMap(); + } + /** + * + * + * 
+     * Additional model-type and format specific parameters describing the
+     * requirements for the to be exported model files, any string must be up to
+     * 25000 characters long.
+     *  * For `docker` format:
+     *     `cpu_architecture` - (string) "x86_64" (default).
+     *     `gpu_architecture` - (string) "none" (default), "nvidia".
+     *
+ * + * map<string, string> params = 2; + */ + public java.lang.String getParamsOrDefault( + java.lang.String key, java.lang.String defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = internalGetParams().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+     * Additional model-type and format specific parameters describing the
+     * requirements for the to be exported model files, any string must be up to
+     * 25000 characters long.
+     *  * For `docker` format:
+     *     `cpu_architecture` - (string) "x86_64" (default).
+     *     `gpu_architecture` - (string) "none" (default), "nvidia".
+     *
+ * + * map<string, string> params = 2; + */ + public java.lang.String getParamsOrThrow(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = internalGetParams().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + public Builder clearParams() { + internalGetMutableParams().getMutableMap().clear(); + return this; + } + /** + * + * + * 
+     * Additional model-type and format specific parameters describing the
+     * requirements for the to be exported model files, any string must be up to
+     * 25000 characters long.
+     *  * For `docker` format:
+     *     `cpu_architecture` - (string) "x86_64" (default).
+     *     `gpu_architecture` - (string) "none" (default), "nvidia".
+     *
+ * + * map<string, string> params = 2; + */ + public Builder removeParams(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableParams().getMutableMap().remove(key); + return this; + } + /** Use alternate mutation accessors instead. */ + @java.lang.Deprecated + public java.util.Map getMutableParams() { + return internalGetMutableParams().getMutableMap(); + } + /** + * + * + * 
+     * Additional model-type and format specific parameters describing the
+     * requirements for the to be exported model files, any string must be up to
+     * 25000 characters long.
+     *  * For `docker` format:
+     *     `cpu_architecture` - (string) "x86_64" (default).
+     *     `gpu_architecture` - (string) "none" (default), "nvidia".
+     *
+ * + * map<string, string> params = 2; + */ + public Builder putParams(java.lang.String key, java.lang.String value) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + if (value == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableParams().getMutableMap().put(key, value); + return this; + } + /** + * + * + * 
+     * Additional model-type and format specific parameters describing the
+     * requirements for the to be exported model files, any string must be up to
+     * 25000 characters long.
+     *  * For `docker` format:
+     *     `cpu_architecture` - (string) "x86_64" (default).
+     *     `gpu_architecture` - (string) "none" (default), "nvidia".
+     *
+ * + * map<string, string> params = 2; + */ + public Builder putAllParams(java.util.Map values) { + internalGetMutableParams().getMutableMap().putAll(values); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ModelExportOutputConfig) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ModelExportOutputConfig) + private static final com.google.cloud.automl.v1beta1.ModelExportOutputConfig DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ModelExportOutputConfig(); + } + + public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ModelExportOutputConfig parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ModelExportOutputConfig(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.ModelExportOutputConfig getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelExportOutputConfigOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelExportOutputConfigOrBuilder.java new file mode 100644 index 000000000..810784ffd --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelExportOutputConfigOrBuilder.java @@ -0,0 +1,280 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/io.proto + +package com.google.cloud.automl.v1beta1; + +public interface ModelExportOutputConfigOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ModelExportOutputConfig) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * The Google Cloud Storage location where the model is to be written to.
+   * This location may only be set for the following model formats:
+   *   "tflite", "edgetpu_tflite", "tf_saved_model", "tf_js", "core_ml".
+   *  Under the directory given as the destination a new one with name
+   *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+   *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+   *  will be created. Inside the model and any of its supporting files
+   *  will be written.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + * + * @return Whether the gcsDestination field is set. + */ + boolean hasGcsDestination(); + /** + * + * + * 
+   * The Google Cloud Storage location where the model is to be written to.
+   * This location may only be set for the following model formats:
+   *   "tflite", "edgetpu_tflite", "tf_saved_model", "tf_js", "core_ml".
+   *  Under the directory given as the destination a new one with name
+   *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+   *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+   *  will be created. Inside the model and any of its supporting files
+   *  will be written.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + * + * @return The gcsDestination. + */ + com.google.cloud.automl.v1beta1.GcsDestination getGcsDestination(); + /** + * + * + * 
+   * The Google Cloud Storage location where the model is to be written to.
+   * This location may only be set for the following model formats:
+   *   "tflite", "edgetpu_tflite", "tf_saved_model", "tf_js", "core_ml".
+   *  Under the directory given as the destination a new one with name
+   *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+   *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+   *  will be created. Inside the model and any of its supporting files
+   *  will be written.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + */ + com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder getGcsDestinationOrBuilder(); + + /** + * + * + * 
+   * The GCR location where model image is to be pushed to. This location
+   * may only be set for the following model formats:
+   *   "docker".
+   * The model image will be created under the given URI.
+   *
+ * + * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3; + * + * @return Whether the gcrDestination field is set. + */ + boolean hasGcrDestination(); + /** + * + * + * 
+   * The GCR location where model image is to be pushed to. This location
+   * may only be set for the following model formats:
+   *   "docker".
+   * The model image will be created under the given URI.
+   *
+ * + * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3; + * + * @return The gcrDestination. + */ + com.google.cloud.automl.v1beta1.GcrDestination getGcrDestination(); + /** + * + * + * 
+   * The GCR location where model image is to be pushed to. This location
+   * may only be set for the following model formats:
+   *   "docker".
+   * The model image will be created under the given URI.
+   *
+ * + * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3; + */ + com.google.cloud.automl.v1beta1.GcrDestinationOrBuilder getGcrDestinationOrBuilder(); + + /** + * + * + * 
+   * The format in which the model must be exported. The available, and default,
+   * formats depend on the problem and model type (if given problem and type
+   * combination doesn't have a format listed, it means its models are not
+   * exportable):
+   * *  For Image Classification mobile-low-latency-1, mobile-versatile-1,
+   *        mobile-high-accuracy-1:
+   *      "tflite" (default), "edgetpu_tflite", "tf_saved_model", "tf_js",
+   *      "docker".
+   * *  For Image Classification mobile-core-ml-low-latency-1,
+   *        mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
+   *      "core_ml" (default).
+   * Formats description:
+   * * tflite - Used for Android mobile devices.
+   * * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
+   *                    devices.
+   * * tf_saved_model - A tensorflow model in SavedModel format.
+   * * tf_js - A [TensorFlow.js](https://www.tensorflow.org/js) model that can
+   *           be used in the browser and in Node.js using JavaScript.
+   * * docker - Used for Docker containers. Use the params field to customize
+   *            the container. The container is verified to work correctly on
+   *            ubuntu 16.04 operating system. See more at
+   *            [containers
+   * quickstart](https:
+   * //cloud.google.com/vision/automl/docs/containers-gcs-quickstart)
+   * * core_ml - Used for iOS mobile devices.
+   *
+ * + * string model_format = 4; + * + * @return The modelFormat. + */ + java.lang.String getModelFormat(); + /** + * + * + * 
+   * The format in which the model must be exported. The available, and default,
+   * formats depend on the problem and model type (if given problem and type
+   * combination doesn't have a format listed, it means its models are not
+   * exportable):
+   * *  For Image Classification mobile-low-latency-1, mobile-versatile-1,
+   *        mobile-high-accuracy-1:
+   *      "tflite" (default), "edgetpu_tflite", "tf_saved_model", "tf_js",
+   *      "docker".
+   * *  For Image Classification mobile-core-ml-low-latency-1,
+   *        mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
+   *      "core_ml" (default).
+   * Formats description:
+   * * tflite - Used for Android mobile devices.
+   * * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
+   *                    devices.
+   * * tf_saved_model - A tensorflow model in SavedModel format.
+   * * tf_js - A [TensorFlow.js](https://www.tensorflow.org/js) model that can
+   *           be used in the browser and in Node.js using JavaScript.
+   * * docker - Used for Docker containers. Use the params field to customize
+   *            the container. The container is verified to work correctly on
+   *            ubuntu 16.04 operating system. See more at
+   *            [containers
+   * quickstart](https:
+   * //cloud.google.com/vision/automl/docs/containers-gcs-quickstart)
+   * * core_ml - Used for iOS mobile devices.
+   *
+ * + * string model_format = 4; + * + * @return The bytes for modelFormat. + */ + com.google.protobuf.ByteString getModelFormatBytes(); + + /** + * + * + * 
+   * Additional model-type and format specific parameters describing the
+   * requirements for the to be exported model files, any string must be up to
+   * 25000 characters long.
+   *  * For `docker` format:
+   *     `cpu_architecture` - (string) "x86_64" (default).
+   *     `gpu_architecture` - (string) "none" (default), "nvidia".
+   *
+ * + * map<string, string> params = 2; + */ + int getParamsCount(); + /** + * + * + * 
+   * Additional model-type and format specific parameters describing the
+   * requirements for the to be exported model files, any string must be up to
+   * 25000 characters long.
+   *  * For `docker` format:
+   *     `cpu_architecture` - (string) "x86_64" (default).
+   *     `gpu_architecture` - (string) "none" (default), "nvidia".
+   *
+ * + * map<string, string> params = 2; + */ + boolean containsParams(java.lang.String key); + /** Use {@link #getParamsMap()} instead. */ + @java.lang.Deprecated + java.util.Map getParams(); + /** + * + * + * 
+   * Additional model-type and format specific parameters describing the
+   * requirements for the to be exported model files, any string must be up to
+   * 25000 characters long.
+   *  * For `docker` format:
+   *     `cpu_architecture` - (string) "x86_64" (default).
+   *     `gpu_architecture` - (string) "none" (default), "nvidia".
+   *
+ * + * map<string, string> params = 2; + */ + java.util.Map getParamsMap(); + /** + * + * + * 
+   * Additional model-type and format specific parameters describing the
+   * requirements for the to be exported model files, any string must be up to
+   * 25000 characters long.
+   *  * For `docker` format:
+   *     `cpu_architecture` - (string) "x86_64" (default).
+   *     `gpu_architecture` - (string) "none" (default), "nvidia".
+   *
+ * + * map<string, string> params = 2; + */ + java.lang.String getParamsOrDefault(java.lang.String key, java.lang.String defaultValue); + /** + * + * + * 
+   * Additional model-type and format specific parameters describing the
+   * requirements for the to be exported model files, any string must be up to
+   * 25000 characters long.
+   *  * For `docker` format:
+   *     `cpu_architecture` - (string) "x86_64" (default).
+   *     `gpu_architecture` - (string) "none" (default), "nvidia".
+   *
+ * + * map<string, string> params = 2; + */ + java.lang.String getParamsOrThrow(java.lang.String key); + + public com.google.cloud.automl.v1beta1.ModelExportOutputConfig.DestinationCase + getDestinationCase(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelName.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelName.java new file mode 100644 index 000000000..5376c0f5e --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelName.java @@ -0,0 +1,210 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package com.google.cloud.automl.v1beta1; + +import com.google.api.pathtemplate.PathTemplate; +import com.google.api.resourcenames.ResourceName; +import com.google.common.base.Preconditions; +import com.google.common.collect.ImmutableMap; +import java.util.ArrayList; +import java.util.List; +import java.util.Map; + +/** AUTO-GENERATED DOCUMENTATION AND CLASS */ +@javax.annotation.Generated("by GAPIC protoc plugin") +public class ModelName implements ResourceName { + + private static final PathTemplate PATH_TEMPLATE = + PathTemplate.createWithoutUrlEncoding( + "projects/{project}/locations/{location}/models/{model}"); + + private volatile Map fieldValuesMap; + + private final String project; + private final String location; + private final String model; + + public String getProject() { + return project; + } + + public String getLocation() { + return location; + } + + public String getModel() { + return model; + } + + public static Builder newBuilder() { + return new Builder(); + } + + public Builder toBuilder() { + return new Builder(this); + } + + private ModelName(Builder builder) { + project = Preconditions.checkNotNull(builder.getProject()); + location = Preconditions.checkNotNull(builder.getLocation()); + model = Preconditions.checkNotNull(builder.getModel()); + } + + public static ModelName of(String project, String location, String model) { + return newBuilder().setProject(project).setLocation(location).setModel(model).build(); + } + + public static String format(String project, String location, String model) { + return newBuilder() + .setProject(project) + .setLocation(location) + .setModel(model) + .build() + .toString(); + } + + public static ModelName parse(String formattedString) { + if (formattedString.isEmpty()) { + return null; + } + Map matchMap = + PATH_TEMPLATE.validatedMatch( + formattedString, "ModelName.parse: formattedString not in valid format"); + return of(matchMap.get("project"), matchMap.get("location"), matchMap.get("model")); + } + + public static List parseList(List formattedStrings) { + List list = new ArrayList<>(formattedStrings.size()); + for (String formattedString : formattedStrings) { + list.add(parse(formattedString)); + } + return list; + } + + public static List toStringList(List values) { + List list = new ArrayList(values.size()); + for (ModelName value : values) { + if (value == null) { + list.add(""); + } else { + list.add(value.toString()); + } + } + return list; + } + + public static boolean isParsableFrom(String formattedString) { + return PATH_TEMPLATE.matches(formattedString); + } + + public Map getFieldValuesMap() { + if (fieldValuesMap == null) { + synchronized (this) { + if (fieldValuesMap == null) { + ImmutableMap.Builder fieldMapBuilder = ImmutableMap.builder(); + fieldMapBuilder.put("project", project); + fieldMapBuilder.put("location", location); + fieldMapBuilder.put("model", model); + fieldValuesMap = fieldMapBuilder.build(); + } + } + } + return fieldValuesMap; + } + + public String getFieldValue(String fieldName) { + return getFieldValuesMap().get(fieldName); + } + + @Override + public String toString() { + return PATH_TEMPLATE.instantiate("project", project, "location", location, "model", model); + } + + /** Builder for ModelName. */ + public static class Builder { + + private String project; + private String location; + private String model; + + public String getProject() { + return project; + } + + public String getLocation() { + return location; + } + + public String getModel() { + return model; + } + + public Builder setProject(String project) { + this.project = project; + return this; + } + + public Builder setLocation(String location) { + this.location = location; + return this; + } + + public Builder setModel(String model) { + this.model = model; + return this; + } + + private Builder() {} + + private Builder(ModelName modelName) { + project = modelName.project; + location = modelName.location; + model = modelName.model; + } + + public ModelName build() { + return new ModelName(this); + } + } + + @Override + public boolean equals(Object o) { + if (o == this) { + return true; + } + if (o instanceof ModelName) { + ModelName that = (ModelName) o; + return (this.project.equals(that.project)) + && (this.location.equals(that.location)) + && (this.model.equals(that.model)); + } + return false; + } + + @Override + public int hashCode() { + int h = 1; + h *= 1000003; + h ^= project.hashCode(); + h *= 1000003; + h ^= location.hashCode(); + h *= 1000003; + h ^= model.hashCode(); + return h; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelOrBuilder.java new file mode 100644 index 000000000..e63f75501 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelOrBuilder.java @@ -0,0 +1,582 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/model.proto + +package com.google.cloud.automl.v1beta1; + +public interface ModelOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.Model) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Metadata for translation models.
+   *
+ * + * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15; + * + * + * @return Whether the translationModelMetadata field is set. + */ + boolean hasTranslationModelMetadata(); + /** + * + * + * 
+   * Metadata for translation models.
+   *
+ * + * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15; + * + * + * @return The translationModelMetadata. + */ + com.google.cloud.automl.v1beta1.TranslationModelMetadata getTranslationModelMetadata(); + /** + * + * + * 
+   * Metadata for translation models.
+   *
+ * + * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15; + * + */ + com.google.cloud.automl.v1beta1.TranslationModelMetadataOrBuilder + getTranslationModelMetadataOrBuilder(); + + /** + * + * + * 
+   * Metadata for image classification models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13; + * + * + * @return Whether the imageClassificationModelMetadata field is set. + */ + boolean hasImageClassificationModelMetadata(); + /** + * + * + * 
+   * Metadata for image classification models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13; + * + * + * @return The imageClassificationModelMetadata. + */ + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata + getImageClassificationModelMetadata(); + /** + * + * + * 
+   * Metadata for image classification models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13; + * + */ + com.google.cloud.automl.v1beta1.ImageClassificationModelMetadataOrBuilder + getImageClassificationModelMetadataOrBuilder(); + + /** + * + * + * 
+   * Metadata for text classification models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14; + * + * + * @return Whether the textClassificationModelMetadata field is set. + */ + boolean hasTextClassificationModelMetadata(); + /** + * + * + * 
+   * Metadata for text classification models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14; + * + * + * @return The textClassificationModelMetadata. + */ + com.google.cloud.automl.v1beta1.TextClassificationModelMetadata + getTextClassificationModelMetadata(); + /** + * + * + * 
+   * Metadata for text classification models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14; + * + */ + com.google.cloud.automl.v1beta1.TextClassificationModelMetadataOrBuilder + getTextClassificationModelMetadataOrBuilder(); + + /** + * + * + * 
+   * Metadata for image object detection models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20; + * + * + * @return Whether the imageObjectDetectionModelMetadata field is set. + */ + boolean hasImageObjectDetectionModelMetadata(); + /** + * + * + * 
+   * Metadata for image object detection models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20; + * + * + * @return The imageObjectDetectionModelMetadata. + */ + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata + getImageObjectDetectionModelMetadata(); + /** + * + * + * 
+   * Metadata for image object detection models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20; + * + */ + com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadataOrBuilder + getImageObjectDetectionModelMetadataOrBuilder(); + + /** + * + * + * 
+   * Metadata for video classification models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23; + * + * + * @return Whether the videoClassificationModelMetadata field is set. + */ + boolean hasVideoClassificationModelMetadata(); + /** + * + * + * 
+   * Metadata for video classification models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23; + * + * + * @return The videoClassificationModelMetadata. + */ + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata + getVideoClassificationModelMetadata(); + /** + * + * + * 
+   * Metadata for video classification models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23; + * + */ + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadataOrBuilder + getVideoClassificationModelMetadataOrBuilder(); + + /** + * + * + * 
+   * Metadata for video object tracking models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata video_object_tracking_model_metadata = 21; + * + * + * @return Whether the videoObjectTrackingModelMetadata field is set. + */ + boolean hasVideoObjectTrackingModelMetadata(); + /** + * + * + * 
+   * Metadata for video object tracking models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata video_object_tracking_model_metadata = 21; + * + * + * @return The videoObjectTrackingModelMetadata. + */ + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata + getVideoObjectTrackingModelMetadata(); + /** + * + * + * 
+   * Metadata for video object tracking models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata video_object_tracking_model_metadata = 21; + * + */ + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadataOrBuilder + getVideoObjectTrackingModelMetadataOrBuilder(); + + /** + * + * + * 
+   * Metadata for text extraction models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19; + * + * + * @return Whether the textExtractionModelMetadata field is set. + */ + boolean hasTextExtractionModelMetadata(); + /** + * + * + * 
+   * Metadata for text extraction models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19; + * + * + * @return The textExtractionModelMetadata. + */ + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata getTextExtractionModelMetadata(); + /** + * + * + * 
+   * Metadata for text extraction models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19; + * + */ + com.google.cloud.automl.v1beta1.TextExtractionModelMetadataOrBuilder + getTextExtractionModelMetadataOrBuilder(); + + /** + * + * + * 
+   * Metadata for Tables models.
+   *
+ * + * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24; + * + * @return Whether the tablesModelMetadata field is set. + */ + boolean hasTablesModelMetadata(); + /** + * + * + * 
+   * Metadata for Tables models.
+   *
+ * + * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24; + * + * @return The tablesModelMetadata. + */ + com.google.cloud.automl.v1beta1.TablesModelMetadata getTablesModelMetadata(); + /** + * + * + * 
+   * Metadata for Tables models.
+   *
+ * + * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24; + */ + com.google.cloud.automl.v1beta1.TablesModelMetadataOrBuilder getTablesModelMetadataOrBuilder(); + + /** + * + * + * 
+   * Metadata for text sentiment models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22; + * + * + * @return Whether the textSentimentModelMetadata field is set. + */ + boolean hasTextSentimentModelMetadata(); + /** + * + * + * 
+   * Metadata for text sentiment models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22; + * + * + * @return The textSentimentModelMetadata. + */ + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata getTextSentimentModelMetadata(); + /** + * + * + * 
+   * Metadata for text sentiment models.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22; + * + */ + com.google.cloud.automl.v1beta1.TextSentimentModelMetadataOrBuilder + getTextSentimentModelMetadataOrBuilder(); + + /** + * + * + * 
+   * Output only. Resource name of the model.
+   * Format: `projects/{project_id}/locations/{location_id}/models/{model_id}`
+   *
+ * + * string name = 1; + * + * @return The name. + */ + java.lang.String getName(); + /** + * + * + * 
+   * Output only. Resource name of the model.
+   * Format: `projects/{project_id}/locations/{location_id}/models/{model_id}`
+   *
+ * + * string name = 1; + * + * @return The bytes for name. + */ + com.google.protobuf.ByteString getNameBytes(); + + /** + * + * + * 
+   * Required. The name of the model to show in the interface. The name can be
+   * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+   * and a-z, underscores
+   * (_), and ASCII digits 0-9. It must start with a letter.
+   *
+ * + * string display_name = 2; + * + * @return The displayName. + */ + java.lang.String getDisplayName(); + /** + * + * + * 
+   * Required. The name of the model to show in the interface. The name can be
+   * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+   * and a-z, underscores
+   * (_), and ASCII digits 0-9. It must start with a letter.
+   *
+ * + * string display_name = 2; + * + * @return The bytes for displayName. + */ + com.google.protobuf.ByteString getDisplayNameBytes(); + + /** + * + * + * 
+   * Required. The resource ID of the dataset used to create the model. The dataset must
+   * come from the same ancestor project and location.
+   *
+ * + * string dataset_id = 3; + * + * @return The datasetId. + */ + java.lang.String getDatasetId(); + /** + * + * + * 
+   * Required. The resource ID of the dataset used to create the model. The dataset must
+   * come from the same ancestor project and location.
+   *
+ * + * string dataset_id = 3; + * + * @return The bytes for datasetId. + */ + com.google.protobuf.ByteString getDatasetIdBytes(); + + /** + * + * + * 
+   * Output only. Timestamp when the model training finished  and can be used for prediction.
+   *
+ * + * .google.protobuf.Timestamp create_time = 7; + * + * @return Whether the createTime field is set. + */ + boolean hasCreateTime(); + /** + * + * + * 
+   * Output only. Timestamp when the model training finished  and can be used for prediction.
+   *
+ * + * .google.protobuf.Timestamp create_time = 7; + * + * @return The createTime. + */ + com.google.protobuf.Timestamp getCreateTime(); + /** + * + * + * 
+   * Output only. Timestamp when the model training finished  and can be used for prediction.
+   *
+ * + * .google.protobuf.Timestamp create_time = 7; + */ + com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder(); + + /** + * + * + * 
+   * Output only. Timestamp when this model was last updated.
+   *
+ * + * .google.protobuf.Timestamp update_time = 11; + * + * @return Whether the updateTime field is set. + */ + boolean hasUpdateTime(); + /** + * + * + * 
+   * Output only. Timestamp when this model was last updated.
+   *
+ * + * .google.protobuf.Timestamp update_time = 11; + * + * @return The updateTime. + */ + com.google.protobuf.Timestamp getUpdateTime(); + /** + * + * + * 
+   * Output only. Timestamp when this model was last updated.
+   *
+ * + * .google.protobuf.Timestamp update_time = 11; + */ + com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder(); + + /** + * + * + * 
+   * Output only. Deployment state of the model. A model can only serve
+   * prediction requests after it gets deployed.
+   *
+ * + * .google.cloud.automl.v1beta1.Model.DeploymentState deployment_state = 8; + * + * @return The enum numeric value on the wire for deploymentState. + */ + int getDeploymentStateValue(); + /** + * + * + * 
+   * Output only. Deployment state of the model. A model can only serve
+   * prediction requests after it gets deployed.
+   *
+ * + * .google.cloud.automl.v1beta1.Model.DeploymentState deployment_state = 8; + * + * @return The deploymentState. + */ + com.google.cloud.automl.v1beta1.Model.DeploymentState getDeploymentState(); + + public com.google.cloud.automl.v1beta1.Model.ModelMetadataCase getModelMetadataCase(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelOuterClass.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelOuterClass.java new file mode 100644 index 000000000..5fa242df7 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelOuterClass.java @@ -0,0 +1,144 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/model.proto + +package com.google.cloud.automl.v1beta1; + +public final class ModelOuterClass { + private ModelOuterClass() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_Model_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_Model_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n\'google/cloud/automl/v1beta1/model.prot" + + "o\022\033google.cloud.automl.v1beta1\032\031google/a" + + "pi/resource.proto\032\'google/cloud/automl/v" + + "1beta1/image.proto\032(google/cloud/automl/" + + "v1beta1/tables.proto\032&google/cloud/autom" + + "l/v1beta1/text.proto\032-google/cloud/autom" + + "l/v1beta1/translation.proto\032\'google/clou" + + "d/automl/v1beta1/video.proto\032\037google/pro" + + "tobuf/timestamp.proto\032\034google/api/annota" + + "tions.proto\"\314\n\n\005Model\022[\n\032translation_mod" + + "el_metadata\030\017 \001(\01325.google.cloud.automl." + + "v1beta1.TranslationModelMetadataH\000\022l\n#im" + + "age_classification_model_metadata\030\r \001(\0132" + + "=.google.cloud.automl.v1beta1.ImageClass" + + "ificationModelMetadataH\000\022j\n\"text_classif" + + "ication_model_metadata\030\016 \001(\0132<.google.cl" + + "oud.automl.v1beta1.TextClassificationMod" + + "elMetadataH\000\022o\n%image_object_detection_m" + + "odel_metadata\030\024 \001(\0132>.google.cloud.autom" + + "l.v1beta1.ImageObjectDetectionModelMetad" + + "ataH\000\022l\n#video_classification_model_meta" + + "data\030\027 \001(\0132=.google.cloud.automl.v1beta1" + + ".VideoClassificationModelMetadataH\000\022m\n$v" + + "ideo_object_tracking_model_metadata\030\025 \001(" + + "\0132=.google.cloud.automl.v1beta1.VideoObj" + + "ectTrackingModelMetadataH\000\022b\n\036text_extra" + + "ction_model_metadata\030\023 \001(\01328.google.clou" + + "d.automl.v1beta1.TextExtractionModelMeta" + + "dataH\000\022Q\n\025tables_model_metadata\030\030 \001(\01320." + + "google.cloud.automl.v1beta1.TablesModelM" + + "etadataH\000\022`\n\035text_sentiment_model_metada" + + "ta\030\026 \001(\01327.google.cloud.automl.v1beta1.T" + + "extSentimentModelMetadataH\000\022\014\n\004name\030\001 \001(" + + "\t\022\024\n\014display_name\030\002 \001(\t\022\022\n\ndataset_id\030\003 " + + "\001(\t\022/\n\013create_time\030\007 \001(\0132\032.google.protob" + + "uf.Timestamp\022/\n\013update_time\030\013 \001(\0132\032.goog" + + "le.protobuf.Timestamp\022L\n\020deployment_stat" + + "e\030\010 \001(\01622.google.cloud.automl.v1beta1.Mo" + + "del.DeploymentState\"Q\n\017DeploymentState\022 " + + "\n\034DEPLOYMENT_STATE_UNSPECIFIED\020\000\022\014\n\010DEPL" + + "OYED\020\001\022\016\n\nUNDEPLOYED\020\002:X\352AU\n\033automl.goog" + + "leapis.com/Model\0226projects/{project}/loc" + + "ations/{location}/models/{model}B\020\n\016mode" + + "l_metadataB\245\001\n\037com.google.cloud.automl.v" + + "1beta1P\001ZAgoogle.golang.org/genproto/goo" + + "gleapis/cloud/automl/v1beta1;automl\312\002\033Go" + + "ogle\\Cloud\\AutoMl\\V1beta1\352\002\036Google::Clou" + + "d::AutoML::V1beta1b\006proto3" + }; + descriptor = + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.api.ResourceProto.getDescriptor(), + com.google.cloud.automl.v1beta1.ImageProto.getDescriptor(), + com.google.cloud.automl.v1beta1.Tables.getDescriptor(), + com.google.cloud.automl.v1beta1.TextProto.getDescriptor(), + com.google.cloud.automl.v1beta1.TranslationProto.getDescriptor(), + com.google.cloud.automl.v1beta1.VideoProto.getDescriptor(), + com.google.protobuf.TimestampProto.getDescriptor(), + com.google.api.AnnotationsProto.getDescriptor(), + }); + internal_static_google_cloud_automl_v1beta1_Model_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_Model_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_Model_descriptor, + new java.lang.String[] { + "TranslationModelMetadata", + "ImageClassificationModelMetadata", + "TextClassificationModelMetadata", + "ImageObjectDetectionModelMetadata", + "VideoClassificationModelMetadata", + "VideoObjectTrackingModelMetadata", + "TextExtractionModelMetadata", + "TablesModelMetadata", + "TextSentimentModelMetadata", + "Name", + "DisplayName", + "DatasetId", + "CreateTime", + "UpdateTime", + "DeploymentState", + "ModelMetadata", + }); + com.google.protobuf.ExtensionRegistry registry = + com.google.protobuf.ExtensionRegistry.newInstance(); + registry.add(com.google.api.ResourceProto.resource); + com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor( + descriptor, registry); + com.google.api.ResourceProto.getDescriptor(); + com.google.cloud.automl.v1beta1.ImageProto.getDescriptor(); + com.google.cloud.automl.v1beta1.Tables.getDescriptor(); + com.google.cloud.automl.v1beta1.TextProto.getDescriptor(); + com.google.cloud.automl.v1beta1.TranslationProto.getDescriptor(); + com.google.cloud.automl.v1beta1.VideoProto.getDescriptor(); + com.google.protobuf.TimestampProto.getDescriptor(); + com.google.api.AnnotationsProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/NormalizedVertex.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/NormalizedVertex.java new file mode 100644 index 000000000..fc72e5b5d --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/NormalizedVertex.java @@ -0,0 +1,641 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/geometry.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * A vertex represents a 2D point in the image.
+ * The normalized vertex coordinates are between 0 to 1 fractions relative to
+ * the original plane (image, video). E.g. if the plane (e.g. whole image) would
+ * have size 10 x 20 then a point with normalized coordinates (0.1, 0.3) would
+ * be at the position (1, 6) on that plane.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.NormalizedVertex} + */ +public final class NormalizedVertex extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.NormalizedVertex) + NormalizedVertexOrBuilder { + private static final long serialVersionUID = 0L; + // Use NormalizedVertex.newBuilder() to construct. + private NormalizedVertex(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private NormalizedVertex() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new NormalizedVertex(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private NormalizedVertex( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 13: + { + x_ = input.readFloat(); + break; + } + case 21: + { + y_ = input.readFloat(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Geometry + .internal_static_google_cloud_automl_v1beta1_NormalizedVertex_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Geometry + .internal_static_google_cloud_automl_v1beta1_NormalizedVertex_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.NormalizedVertex.class, + com.google.cloud.automl.v1beta1.NormalizedVertex.Builder.class); + } + + public static final int X_FIELD_NUMBER = 1; + private float x_; + /** + * + * + * 
+   * Required. Horizontal coordinate.
+   *
+ * + * float x = 1; + * + * @return The x. + */ + public float getX() { + return x_; + } + + public static final int Y_FIELD_NUMBER = 2; + private float y_; + /** + * + * + * 
+   * Required. Vertical coordinate.
+   *
+ * + * float y = 2; + * + * @return The y. + */ + public float getY() { + return y_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (x_ != 0F) { + output.writeFloat(1, x_); + } + if (y_ != 0F) { + output.writeFloat(2, y_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (x_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, x_); + } + if (y_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(2, y_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.NormalizedVertex)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.NormalizedVertex other = + (com.google.cloud.automl.v1beta1.NormalizedVertex) obj; + + if (java.lang.Float.floatToIntBits(getX()) != java.lang.Float.floatToIntBits(other.getX())) + return false; + if (java.lang.Float.floatToIntBits(getY()) != java.lang.Float.floatToIntBits(other.getY())) + return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + X_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getX()); + hash = (37 * hash) + Y_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getY()); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.NormalizedVertex parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.NormalizedVertex parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.NormalizedVertex parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.NormalizedVertex parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.NormalizedVertex parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.NormalizedVertex parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.NormalizedVertex parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.NormalizedVertex parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.NormalizedVertex parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.NormalizedVertex parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.NormalizedVertex parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.NormalizedVertex parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.NormalizedVertex prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * A vertex represents a 2D point in the image.
+   * The normalized vertex coordinates are between 0 to 1 fractions relative to
+   * the original plane (image, video). E.g. if the plane (e.g. whole image) would
+   * have size 10 x 20 then a point with normalized coordinates (0.1, 0.3) would
+   * be at the position (1, 6) on that plane.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.NormalizedVertex} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.NormalizedVertex) + com.google.cloud.automl.v1beta1.NormalizedVertexOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Geometry + .internal_static_google_cloud_automl_v1beta1_NormalizedVertex_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Geometry + .internal_static_google_cloud_automl_v1beta1_NormalizedVertex_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.NormalizedVertex.class, + com.google.cloud.automl.v1beta1.NormalizedVertex.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.NormalizedVertex.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + x_ = 0F; + + y_ = 0F; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Geometry + .internal_static_google_cloud_automl_v1beta1_NormalizedVertex_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.NormalizedVertex getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.NormalizedVertex.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.NormalizedVertex build() { + com.google.cloud.automl.v1beta1.NormalizedVertex result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.NormalizedVertex buildPartial() { + com.google.cloud.automl.v1beta1.NormalizedVertex result = + new com.google.cloud.automl.v1beta1.NormalizedVertex(this); + result.x_ = x_; + result.y_ = y_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.NormalizedVertex) { + return mergeFrom((com.google.cloud.automl.v1beta1.NormalizedVertex) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.NormalizedVertex other) { + if (other == com.google.cloud.automl.v1beta1.NormalizedVertex.getDefaultInstance()) + return this; + if (other.getX() != 0F) { + setX(other.getX()); + } + if (other.getY() != 0F) { + setY(other.getY()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.NormalizedVertex parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.NormalizedVertex) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private float x_; + /** + * + * + * 
+     * Required. Horizontal coordinate.
+     *
+ * + * float x = 1; + * + * @return The x. + */ + public float getX() { + return x_; + } + /** + * + * + * 
+     * Required. Horizontal coordinate.
+     *
+ * + * float x = 1; + * + * @param value The x to set. + * @return This builder for chaining. + */ + public Builder setX(float value) { + + x_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Horizontal coordinate.
+     *
+ * + * float x = 1; + * + * @return This builder for chaining. + */ + public Builder clearX() { + + x_ = 0F; + onChanged(); + return this; + } + + private float y_; + /** + * + * + * 
+     * Required. Vertical coordinate.
+     *
+ * + * float y = 2; + * + * @return The y. + */ + public float getY() { + return y_; + } + /** + * + * + * 
+     * Required. Vertical coordinate.
+     *
+ * + * float y = 2; + * + * @param value The y to set. + * @return This builder for chaining. + */ + public Builder setY(float value) { + + y_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Vertical coordinate.
+     *
+ * + * float y = 2; + * + * @return This builder for chaining. + */ + public Builder clearY() { + + y_ = 0F; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.NormalizedVertex) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.NormalizedVertex) + private static final com.google.cloud.automl.v1beta1.NormalizedVertex DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.NormalizedVertex(); + } + + public static com.google.cloud.automl.v1beta1.NormalizedVertex getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public NormalizedVertex parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new NormalizedVertex(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.NormalizedVertex getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/NormalizedVertexOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/NormalizedVertexOrBuilder.java new file mode 100644 index 000000000..cef427423 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/NormalizedVertexOrBuilder.java @@ -0,0 +1,51 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/geometry.proto + +package com.google.cloud.automl.v1beta1; + +public interface NormalizedVertexOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.NormalizedVertex) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. Horizontal coordinate.
+   *
+ * + * float x = 1; + * + * @return The x. + */ + float getX(); + + /** + * + * + * 
+   * Required. Vertical coordinate.
+   *
+ * + * float y = 2; + * + * @return The y. + */ + float getY(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OperationMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OperationMetadata.java new file mode 100644 index 000000000..3b2154e44 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OperationMetadata.java @@ -0,0 +1,4659 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/operations.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Metadata used across all long running operations returned by AutoML API.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.OperationMetadata} + */ +public final class OperationMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.OperationMetadata) + OperationMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use OperationMetadata.newBuilder() to construct. + private OperationMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private OperationMetadata() { + partialFailures_ = java.util.Collections.emptyList(); + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new OperationMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private OperationMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 18: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + partialFailures_ = new java.util.ArrayList(); + mutable_bitField0_ |= 0x00000001; + } + partialFailures_.add( + input.readMessage(com.google.rpc.Status.parser(), extensionRegistry)); + break; + } + case 26: + { + com.google.protobuf.Timestamp.Builder subBuilder = null; + if (createTime_ != null) { + subBuilder = createTime_.toBuilder(); + } + createTime_ = + input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(createTime_); + createTime_ = subBuilder.buildPartial(); + } + + break; + } + case 34: + { + com.google.protobuf.Timestamp.Builder subBuilder = null; + if (updateTime_ != null) { + subBuilder = updateTime_.toBuilder(); + } + updateTime_ = + input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(updateTime_); + updateTime_ = subBuilder.buildPartial(); + } + + break; + } + case 66: + { + com.google.cloud.automl.v1beta1.DeleteOperationMetadata.Builder subBuilder = null; + if (detailsCase_ == 8) { + subBuilder = + ((com.google.cloud.automl.v1beta1.DeleteOperationMetadata) details_) + .toBuilder(); + } + details_ = + input.readMessage( + com.google.cloud.automl.v1beta1.DeleteOperationMetadata.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.DeleteOperationMetadata) details_); + details_ = subBuilder.buildPartial(); + } + detailsCase_ = 8; + break; + } + case 82: + { + com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.Builder subBuilder = + null; + if (detailsCase_ == 10) { + subBuilder = + ((com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) details_) + .toBuilder(); + } + details_ = + input.readMessage( + com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) details_); + details_ = subBuilder.buildPartial(); + } + detailsCase_ = 10; + break; + } + case 104: + { + progressPercent_ = input.readInt32(); + break; + } + case 122: + { + com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.Builder subBuilder = null; + if (detailsCase_ == 15) { + subBuilder = + ((com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) details_) + .toBuilder(); + } + details_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) details_); + details_ = subBuilder.buildPartial(); + } + detailsCase_ = 15; + break; + } + case 130: + { + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.Builder subBuilder = + null; + if (detailsCase_ == 16) { + subBuilder = + ((com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata) details_) + .toBuilder(); + } + details_ = + input.readMessage( + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata) details_); + details_ = subBuilder.buildPartial(); + } + detailsCase_ = 16; + break; + } + case 170: + { + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.Builder subBuilder = null; + if (detailsCase_ == 21) { + subBuilder = + ((com.google.cloud.automl.v1beta1.ExportDataOperationMetadata) details_) + .toBuilder(); + } + details_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.ExportDataOperationMetadata) details_); + details_ = subBuilder.buildPartial(); + } + detailsCase_ = 21; + break; + } + case 178: + { + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.Builder subBuilder = + null; + if (detailsCase_ == 22) { + subBuilder = + ((com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) details_) + .toBuilder(); + } + details_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) details_); + details_ = subBuilder.buildPartial(); + } + detailsCase_ = 22; + break; + } + case 194: + { + com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.Builder subBuilder = + null; + if (detailsCase_ == 24) { + subBuilder = + ((com.google.cloud.automl.v1beta1.DeployModelOperationMetadata) details_) + .toBuilder(); + } + details_ = + input.readMessage( + com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.DeployModelOperationMetadata) details_); + details_ = subBuilder.buildPartial(); + } + detailsCase_ = 24; + break; + } + case 202: + { + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.Builder subBuilder = + null; + if (detailsCase_ == 25) { + subBuilder = + ((com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) details_) + .toBuilder(); + } + details_ = + input.readMessage( + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) details_); + details_ = subBuilder.buildPartial(); + } + detailsCase_ = 25; + break; + } + case 210: + { + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.Builder + subBuilder = null; + if (detailsCase_ == 26) { + subBuilder = + ((com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata) + details_) + .toBuilder(); + } + details_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata) + details_); + details_ = subBuilder.buildPartial(); + } + detailsCase_ = 26; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + partialFailures_ = java.util.Collections.unmodifiableList(partialFailures_); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_OperationMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_OperationMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.OperationMetadata.class, + com.google.cloud.automl.v1beta1.OperationMetadata.Builder.class); + } + + private int detailsCase_ = 0; + private java.lang.Object details_; + + public enum DetailsCase + implements + com.google.protobuf.Internal.EnumLite, + com.google.protobuf.AbstractMessage.InternalOneOfEnum { + DELETE_DETAILS(8), + DEPLOY_MODEL_DETAILS(24), + UNDEPLOY_MODEL_DETAILS(25), + CREATE_MODEL_DETAILS(10), + IMPORT_DATA_DETAILS(15), + BATCH_PREDICT_DETAILS(16), + EXPORT_DATA_DETAILS(21), + EXPORT_MODEL_DETAILS(22), + EXPORT_EVALUATED_EXAMPLES_DETAILS(26), + DETAILS_NOT_SET(0); + private final int value; + + private DetailsCase(int value) { + this.value = value; + } + /** + * @param value The number of the enum to look for. + * @return The enum associated with the given number. + * @deprecated Use {@link #forNumber(int)} instead. + */ + @java.lang.Deprecated + public static DetailsCase valueOf(int value) { + return forNumber(value); + } + + public static DetailsCase forNumber(int value) { + switch (value) { + case 8: + return DELETE_DETAILS; + case 24: + return DEPLOY_MODEL_DETAILS; + case 25: + return UNDEPLOY_MODEL_DETAILS; + case 10: + return CREATE_MODEL_DETAILS; + case 15: + return IMPORT_DATA_DETAILS; + case 16: + return BATCH_PREDICT_DETAILS; + case 21: + return EXPORT_DATA_DETAILS; + case 22: + return EXPORT_MODEL_DETAILS; + case 26: + return EXPORT_EVALUATED_EXAMPLES_DETAILS; + case 0: + return DETAILS_NOT_SET; + default: + return null; + } + } + + public int getNumber() { + return this.value; + } + }; + + public DetailsCase getDetailsCase() { + return DetailsCase.forNumber(detailsCase_); + } + + public static final int DELETE_DETAILS_FIELD_NUMBER = 8; + /** + * + * + * 
+   * Details of a Delete operation.
+   *
+ * + * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8; + * + * @return Whether the deleteDetails field is set. + */ + public boolean hasDeleteDetails() { + return detailsCase_ == 8; + } + /** + * + * + * 
+   * Details of a Delete operation.
+   *
+ * + * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8; + * + * @return The deleteDetails. + */ + public com.google.cloud.automl.v1beta1.DeleteOperationMetadata getDeleteDetails() { + if (detailsCase_ == 8) { + return (com.google.cloud.automl.v1beta1.DeleteOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.DeleteOperationMetadata.getDefaultInstance(); + } + /** + * + * + * 
+   * Details of a Delete operation.
+   *
+ * + * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8; + */ + public com.google.cloud.automl.v1beta1.DeleteOperationMetadataOrBuilder + getDeleteDetailsOrBuilder() { + if (detailsCase_ == 8) { + return (com.google.cloud.automl.v1beta1.DeleteOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.DeleteOperationMetadata.getDefaultInstance(); + } + + public static final int DEPLOY_MODEL_DETAILS_FIELD_NUMBER = 24; + /** + * + * + * 
+   * Details of a DeployModel operation.
+   *
+ * + * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24; + * + * + * @return Whether the deployModelDetails field is set. + */ + public boolean hasDeployModelDetails() { + return detailsCase_ == 24; + } + /** + * + * + * 
+   * Details of a DeployModel operation.
+   *
+ * + * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24; + * + * + * @return The deployModelDetails. + */ + public com.google.cloud.automl.v1beta1.DeployModelOperationMetadata getDeployModelDetails() { + if (detailsCase_ == 24) { + return (com.google.cloud.automl.v1beta1.DeployModelOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.getDefaultInstance(); + } + /** + * + * + * 
+   * Details of a DeployModel operation.
+   *
+ * + * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24; + * + */ + public com.google.cloud.automl.v1beta1.DeployModelOperationMetadataOrBuilder + getDeployModelDetailsOrBuilder() { + if (detailsCase_ == 24) { + return (com.google.cloud.automl.v1beta1.DeployModelOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.getDefaultInstance(); + } + + public static final int UNDEPLOY_MODEL_DETAILS_FIELD_NUMBER = 25; + /** + * + * + * 
+   * Details of an UndeployModel operation.
+   *
+ * + * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25; + * + * + * @return Whether the undeployModelDetails field is set. + */ + public boolean hasUndeployModelDetails() { + return detailsCase_ == 25; + } + /** + * + * + * 
+   * Details of an UndeployModel operation.
+   *
+ * + * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25; + * + * + * @return The undeployModelDetails. + */ + public com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata getUndeployModelDetails() { + if (detailsCase_ == 25) { + return (com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.getDefaultInstance(); + } + /** + * + * + * 
+   * Details of an UndeployModel operation.
+   *
+ * + * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25; + * + */ + public com.google.cloud.automl.v1beta1.UndeployModelOperationMetadataOrBuilder + getUndeployModelDetailsOrBuilder() { + if (detailsCase_ == 25) { + return (com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.getDefaultInstance(); + } + + public static final int CREATE_MODEL_DETAILS_FIELD_NUMBER = 10; + /** + * + * + * 
+   * Details of CreateModel operation.
+   *
+ * + * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10; + * + * + * @return Whether the createModelDetails field is set. + */ + public boolean hasCreateModelDetails() { + return detailsCase_ == 10; + } + /** + * + * + * 
+   * Details of CreateModel operation.
+   *
+ * + * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10; + * + * + * @return The createModelDetails. + */ + public com.google.cloud.automl.v1beta1.CreateModelOperationMetadata getCreateModelDetails() { + if (detailsCase_ == 10) { + return (com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.getDefaultInstance(); + } + /** + * + * + * 
+   * Details of CreateModel operation.
+   *
+ * + * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10; + * + */ + public com.google.cloud.automl.v1beta1.CreateModelOperationMetadataOrBuilder + getCreateModelDetailsOrBuilder() { + if (detailsCase_ == 10) { + return (com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.getDefaultInstance(); + } + + public static final int IMPORT_DATA_DETAILS_FIELD_NUMBER = 15; + /** + * + * + * 
+   * Details of ImportData operation.
+   *
+ * + * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15; + * + * @return Whether the importDataDetails field is set. + */ + public boolean hasImportDataDetails() { + return detailsCase_ == 15; + } + /** + * + * + * 
+   * Details of ImportData operation.
+   *
+ * + * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15; + * + * @return The importDataDetails. + */ + public com.google.cloud.automl.v1beta1.ImportDataOperationMetadata getImportDataDetails() { + if (detailsCase_ == 15) { + return (com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.getDefaultInstance(); + } + /** + * + * + * 
+   * Details of ImportData operation.
+   *
+ * + * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15; + */ + public com.google.cloud.automl.v1beta1.ImportDataOperationMetadataOrBuilder + getImportDataDetailsOrBuilder() { + if (detailsCase_ == 15) { + return (com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.getDefaultInstance(); + } + + public static final int BATCH_PREDICT_DETAILS_FIELD_NUMBER = 16; + /** + * + * + * 
+   * Details of BatchPredict operation.
+   *
+ * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16; + * + * + * @return Whether the batchPredictDetails field is set. + */ + public boolean hasBatchPredictDetails() { + return detailsCase_ == 16; + } + /** + * + * + * 
+   * Details of BatchPredict operation.
+   *
+ * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16; + * + * + * @return The batchPredictDetails. + */ + public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata getBatchPredictDetails() { + if (detailsCase_ == 16) { + return (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.getDefaultInstance(); + } + /** + * + * + * 
+   * Details of BatchPredict operation.
+   *
+ * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16; + * + */ + public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadataOrBuilder + getBatchPredictDetailsOrBuilder() { + if (detailsCase_ == 16) { + return (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.getDefaultInstance(); + } + + public static final int EXPORT_DATA_DETAILS_FIELD_NUMBER = 21; + /** + * + * + * 
+   * Details of ExportData operation.
+   *
+ * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21; + * + * @return Whether the exportDataDetails field is set. + */ + public boolean hasExportDataDetails() { + return detailsCase_ == 21; + } + /** + * + * + * 
+   * Details of ExportData operation.
+   *
+ * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21; + * + * @return The exportDataDetails. + */ + public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata getExportDataDetails() { + if (detailsCase_ == 21) { + return (com.google.cloud.automl.v1beta1.ExportDataOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.getDefaultInstance(); + } + /** + * + * + * 
+   * Details of ExportData operation.
+   *
+ * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21; + */ + public com.google.cloud.automl.v1beta1.ExportDataOperationMetadataOrBuilder + getExportDataDetailsOrBuilder() { + if (detailsCase_ == 21) { + return (com.google.cloud.automl.v1beta1.ExportDataOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.getDefaultInstance(); + } + + public static final int EXPORT_MODEL_DETAILS_FIELD_NUMBER = 22; + /** + * + * + * 
+   * Details of ExportModel operation.
+   *
+ * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22; + * + * + * @return Whether the exportModelDetails field is set. + */ + public boolean hasExportModelDetails() { + return detailsCase_ == 22; + } + /** + * + * + * 
+   * Details of ExportModel operation.
+   *
+ * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22; + * + * + * @return The exportModelDetails. + */ + public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata getExportModelDetails() { + if (detailsCase_ == 22) { + return (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.getDefaultInstance(); + } + /** + * + * + * 
+   * Details of ExportModel operation.
+   *
+ * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22; + * + */ + public com.google.cloud.automl.v1beta1.ExportModelOperationMetadataOrBuilder + getExportModelDetailsOrBuilder() { + if (detailsCase_ == 22) { + return (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.getDefaultInstance(); + } + + public static final int EXPORT_EVALUATED_EXAMPLES_DETAILS_FIELD_NUMBER = 26; + /** + * + * + * 
+   * Details of ExportEvaluatedExamples operation.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26; + * + * + * @return Whether the exportEvaluatedExamplesDetails field is set. + */ + public boolean hasExportEvaluatedExamplesDetails() { + return detailsCase_ == 26; + } + /** + * + * + * 
+   * Details of ExportEvaluatedExamples operation.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26; + * + * + * @return The exportEvaluatedExamplesDetails. + */ + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + getExportEvaluatedExamplesDetails() { + if (detailsCase_ == 26) { + return (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .getDefaultInstance(); + } + /** + * + * + * 
+   * Details of ExportEvaluatedExamples operation.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26; + * + */ + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadataOrBuilder + getExportEvaluatedExamplesDetailsOrBuilder() { + if (detailsCase_ == 26) { + return (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .getDefaultInstance(); + } + + public static final int PROGRESS_PERCENT_FIELD_NUMBER = 13; + private int progressPercent_; + /** + * + * + * 
+   * Output only. Progress of operation. Range: [0, 100].
+   * Not used currently.
+   *
+ * + * int32 progress_percent = 13; + * + * @return The progressPercent. + */ + public int getProgressPercent() { + return progressPercent_; + } + + public static final int PARTIAL_FAILURES_FIELD_NUMBER = 2; + private java.util.List partialFailures_; + /** + * + * + * 
+   * Output only. Partial failures encountered.
+   * E.g. single files that couldn't be read.
+   * This field should never exceed 20 entries.
+   * Status details field will contain standard GCP error details.
+   *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + public java.util.List getPartialFailuresList() { + return partialFailures_; + } + /** + * + * + * 
+   * Output only. Partial failures encountered.
+   * E.g. single files that couldn't be read.
+   * This field should never exceed 20 entries.
+   * Status details field will contain standard GCP error details.
+   *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + public java.util.List + getPartialFailuresOrBuilderList() { + return partialFailures_; + } + /** + * + * + * 
+   * Output only. Partial failures encountered.
+   * E.g. single files that couldn't be read.
+   * This field should never exceed 20 entries.
+   * Status details field will contain standard GCP error details.
+   *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + public int getPartialFailuresCount() { + return partialFailures_.size(); + } + /** + * + * + * 
+   * Output only. Partial failures encountered.
+   * E.g. single files that couldn't be read.
+   * This field should never exceed 20 entries.
+   * Status details field will contain standard GCP error details.
+   *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + public com.google.rpc.Status getPartialFailures(int index) { + return partialFailures_.get(index); + } + /** + * + * + * 
+   * Output only. Partial failures encountered.
+   * E.g. single files that couldn't be read.
+   * This field should never exceed 20 entries.
+   * Status details field will contain standard GCP error details.
+   *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + public com.google.rpc.StatusOrBuilder getPartialFailuresOrBuilder(int index) { + return partialFailures_.get(index); + } + + public static final int CREATE_TIME_FIELD_NUMBER = 3; + private com.google.protobuf.Timestamp createTime_; + /** + * + * + * 
+   * Output only. Time when the operation was created.
+   *
+ * + * .google.protobuf.Timestamp create_time = 3; + * + * @return Whether the createTime field is set. + */ + public boolean hasCreateTime() { + return createTime_ != null; + } + /** + * + * + * 
+   * Output only. Time when the operation was created.
+   *
+ * + * .google.protobuf.Timestamp create_time = 3; + * + * @return The createTime. + */ + public com.google.protobuf.Timestamp getCreateTime() { + return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_; + } + /** + * + * + * 
+   * Output only. Time when the operation was created.
+   *
+ * + * .google.protobuf.Timestamp create_time = 3; + */ + public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() { + return getCreateTime(); + } + + public static final int UPDATE_TIME_FIELD_NUMBER = 4; + private com.google.protobuf.Timestamp updateTime_; + /** + * + * + * 
+   * Output only. Time when the operation was updated for the last time.
+   *
+ * + * .google.protobuf.Timestamp update_time = 4; + * + * @return Whether the updateTime field is set. + */ + public boolean hasUpdateTime() { + return updateTime_ != null; + } + /** + * + * + * 
+   * Output only. Time when the operation was updated for the last time.
+   *
+ * + * .google.protobuf.Timestamp update_time = 4; + * + * @return The updateTime. + */ + public com.google.protobuf.Timestamp getUpdateTime() { + return updateTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : updateTime_; + } + /** + * + * + * 
+   * Output only. Time when the operation was updated for the last time.
+   *
+ * + * .google.protobuf.Timestamp update_time = 4; + */ + public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() { + return getUpdateTime(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + for (int i = 0; i < partialFailures_.size(); i++) { + output.writeMessage(2, partialFailures_.get(i)); + } + if (createTime_ != null) { + output.writeMessage(3, getCreateTime()); + } + if (updateTime_ != null) { + output.writeMessage(4, getUpdateTime()); + } + if (detailsCase_ == 8) { + output.writeMessage(8, (com.google.cloud.automl.v1beta1.DeleteOperationMetadata) details_); + } + if (detailsCase_ == 10) { + output.writeMessage( + 10, (com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) details_); + } + if (progressPercent_ != 0) { + output.writeInt32(13, progressPercent_); + } + if (detailsCase_ == 15) { + output.writeMessage( + 15, (com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) details_); + } + if (detailsCase_ == 16) { + output.writeMessage( + 16, (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata) details_); + } + if (detailsCase_ == 21) { + output.writeMessage( + 21, (com.google.cloud.automl.v1beta1.ExportDataOperationMetadata) details_); + } + if (detailsCase_ == 22) { + output.writeMessage( + 22, (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) details_); + } + if (detailsCase_ == 24) { + output.writeMessage( + 24, (com.google.cloud.automl.v1beta1.DeployModelOperationMetadata) details_); + } + if (detailsCase_ == 25) { + output.writeMessage( + 25, (com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) details_); + } + if (detailsCase_ == 26) { + output.writeMessage( + 26, (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata) details_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + for (int i = 0; i < partialFailures_.size(); i++) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, partialFailures_.get(i)); + } + if (createTime_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, getCreateTime()); + } + if (updateTime_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, getUpdateTime()); + } + if (detailsCase_ == 8) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 8, (com.google.cloud.automl.v1beta1.DeleteOperationMetadata) details_); + } + if (detailsCase_ == 10) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 10, (com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) details_); + } + if (progressPercent_ != 0) { + size += com.google.protobuf.CodedOutputStream.computeInt32Size(13, progressPercent_); + } + if (detailsCase_ == 15) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 15, (com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) details_); + } + if (detailsCase_ == 16) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 16, (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata) details_); + } + if (detailsCase_ == 21) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 21, (com.google.cloud.automl.v1beta1.ExportDataOperationMetadata) details_); + } + if (detailsCase_ == 22) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 22, (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) details_); + } + if (detailsCase_ == 24) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 24, (com.google.cloud.automl.v1beta1.DeployModelOperationMetadata) details_); + } + if (detailsCase_ == 25) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 25, (com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) details_); + } + if (detailsCase_ == 26) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 26, + (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata) details_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.OperationMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.OperationMetadata other = + (com.google.cloud.automl.v1beta1.OperationMetadata) obj; + + if (getProgressPercent() != other.getProgressPercent()) return false; + if (!getPartialFailuresList().equals(other.getPartialFailuresList())) return false; + if (hasCreateTime() != other.hasCreateTime()) return false; + if (hasCreateTime()) { + if (!getCreateTime().equals(other.getCreateTime())) return false; + } + if (hasUpdateTime() != other.hasUpdateTime()) return false; + if (hasUpdateTime()) { + if (!getUpdateTime().equals(other.getUpdateTime())) return false; + } + if (!getDetailsCase().equals(other.getDetailsCase())) return false; + switch (detailsCase_) { + case 8: + if (!getDeleteDetails().equals(other.getDeleteDetails())) return false; + break; + case 24: + if (!getDeployModelDetails().equals(other.getDeployModelDetails())) return false; + break; + case 25: + if (!getUndeployModelDetails().equals(other.getUndeployModelDetails())) return false; + break; + case 10: + if (!getCreateModelDetails().equals(other.getCreateModelDetails())) return false; + break; + case 15: + if (!getImportDataDetails().equals(other.getImportDataDetails())) return false; + break; + case 16: + if (!getBatchPredictDetails().equals(other.getBatchPredictDetails())) return false; + break; + case 21: + if (!getExportDataDetails().equals(other.getExportDataDetails())) return false; + break; + case 22: + if (!getExportModelDetails().equals(other.getExportModelDetails())) return false; + break; + case 26: + if (!getExportEvaluatedExamplesDetails().equals(other.getExportEvaluatedExamplesDetails())) + return false; + break; + case 0: + default: + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + PROGRESS_PERCENT_FIELD_NUMBER; + hash = (53 * hash) + getProgressPercent(); + if (getPartialFailuresCount() > 0) { + hash = (37 * hash) + PARTIAL_FAILURES_FIELD_NUMBER; + hash = (53 * hash) + getPartialFailuresList().hashCode(); + } + if (hasCreateTime()) { + hash = (37 * hash) + CREATE_TIME_FIELD_NUMBER; + hash = (53 * hash) + getCreateTime().hashCode(); + } + if (hasUpdateTime()) { + hash = (37 * hash) + UPDATE_TIME_FIELD_NUMBER; + hash = (53 * hash) + getUpdateTime().hashCode(); + } + switch (detailsCase_) { + case 8: + hash = (37 * hash) + DELETE_DETAILS_FIELD_NUMBER; + hash = (53 * hash) + getDeleteDetails().hashCode(); + break; + case 24: + hash = (37 * hash) + DEPLOY_MODEL_DETAILS_FIELD_NUMBER; + hash = (53 * hash) + getDeployModelDetails().hashCode(); + break; + case 25: + hash = (37 * hash) + UNDEPLOY_MODEL_DETAILS_FIELD_NUMBER; + hash = (53 * hash) + getUndeployModelDetails().hashCode(); + break; + case 10: + hash = (37 * hash) + CREATE_MODEL_DETAILS_FIELD_NUMBER; + hash = (53 * hash) + getCreateModelDetails().hashCode(); + break; + case 15: + hash = (37 * hash) + IMPORT_DATA_DETAILS_FIELD_NUMBER; + hash = (53 * hash) + getImportDataDetails().hashCode(); + break; + case 16: + hash = (37 * hash) + BATCH_PREDICT_DETAILS_FIELD_NUMBER; + hash = (53 * hash) + getBatchPredictDetails().hashCode(); + break; + case 21: + hash = (37 * hash) + EXPORT_DATA_DETAILS_FIELD_NUMBER; + hash = (53 * hash) + getExportDataDetails().hashCode(); + break; + case 22: + hash = (37 * hash) + EXPORT_MODEL_DETAILS_FIELD_NUMBER; + hash = (53 * hash) + getExportModelDetails().hashCode(); + break; + case 26: + hash = (37 * hash) + EXPORT_EVALUATED_EXAMPLES_DETAILS_FIELD_NUMBER; + hash = (53 * hash) + getExportEvaluatedExamplesDetails().hashCode(); + break; + case 0: + default: + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.OperationMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.OperationMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.OperationMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Metadata used across all long running operations returned by AutoML API.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.OperationMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.OperationMetadata) + com.google.cloud.automl.v1beta1.OperationMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_OperationMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_OperationMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.OperationMetadata.class, + com.google.cloud.automl.v1beta1.OperationMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.OperationMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getPartialFailuresFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + progressPercent_ = 0; + + if (partialFailuresBuilder_ == null) { + partialFailures_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + } else { + partialFailuresBuilder_.clear(); + } + if (createTimeBuilder_ == null) { + createTime_ = null; + } else { + createTime_ = null; + createTimeBuilder_ = null; + } + if (updateTimeBuilder_ == null) { + updateTime_ = null; + } else { + updateTime_ = null; + updateTimeBuilder_ = null; + } + detailsCase_ = 0; + details_ = null; + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_OperationMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.OperationMetadata getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.OperationMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.OperationMetadata build() { + com.google.cloud.automl.v1beta1.OperationMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.OperationMetadata buildPartial() { + com.google.cloud.automl.v1beta1.OperationMetadata result = + new com.google.cloud.automl.v1beta1.OperationMetadata(this); + int from_bitField0_ = bitField0_; + if (detailsCase_ == 8) { + if (deleteDetailsBuilder_ == null) { + result.details_ = details_; + } else { + result.details_ = deleteDetailsBuilder_.build(); + } + } + if (detailsCase_ == 24) { + if (deployModelDetailsBuilder_ == null) { + result.details_ = details_; + } else { + result.details_ = deployModelDetailsBuilder_.build(); + } + } + if (detailsCase_ == 25) { + if (undeployModelDetailsBuilder_ == null) { + result.details_ = details_; + } else { + result.details_ = undeployModelDetailsBuilder_.build(); + } + } + if (detailsCase_ == 10) { + if (createModelDetailsBuilder_ == null) { + result.details_ = details_; + } else { + result.details_ = createModelDetailsBuilder_.build(); + } + } + if (detailsCase_ == 15) { + if (importDataDetailsBuilder_ == null) { + result.details_ = details_; + } else { + result.details_ = importDataDetailsBuilder_.build(); + } + } + if (detailsCase_ == 16) { + if (batchPredictDetailsBuilder_ == null) { + result.details_ = details_; + } else { + result.details_ = batchPredictDetailsBuilder_.build(); + } + } + if (detailsCase_ == 21) { + if (exportDataDetailsBuilder_ == null) { + result.details_ = details_; + } else { + result.details_ = exportDataDetailsBuilder_.build(); + } + } + if (detailsCase_ == 22) { + if (exportModelDetailsBuilder_ == null) { + result.details_ = details_; + } else { + result.details_ = exportModelDetailsBuilder_.build(); + } + } + if (detailsCase_ == 26) { + if (exportEvaluatedExamplesDetailsBuilder_ == null) { + result.details_ = details_; + } else { + result.details_ = exportEvaluatedExamplesDetailsBuilder_.build(); + } + } + result.progressPercent_ = progressPercent_; + if (partialFailuresBuilder_ == null) { + if (((bitField0_ & 0x00000001) != 0)) { + partialFailures_ = java.util.Collections.unmodifiableList(partialFailures_); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.partialFailures_ = partialFailures_; + } else { + result.partialFailures_ = partialFailuresBuilder_.build(); + } + if (createTimeBuilder_ == null) { + result.createTime_ = createTime_; + } else { + result.createTime_ = createTimeBuilder_.build(); + } + if (updateTimeBuilder_ == null) { + result.updateTime_ = updateTime_; + } else { + result.updateTime_ = updateTimeBuilder_.build(); + } + result.detailsCase_ = detailsCase_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.OperationMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.OperationMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.OperationMetadata other) { + if (other == com.google.cloud.automl.v1beta1.OperationMetadata.getDefaultInstance()) + return this; + if (other.getProgressPercent() != 0) { + setProgressPercent(other.getProgressPercent()); + } + if (partialFailuresBuilder_ == null) { + if (!other.partialFailures_.isEmpty()) { + if (partialFailures_.isEmpty()) { + partialFailures_ = other.partialFailures_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensurePartialFailuresIsMutable(); + partialFailures_.addAll(other.partialFailures_); + } + onChanged(); + } + } else { + if (!other.partialFailures_.isEmpty()) { + if (partialFailuresBuilder_.isEmpty()) { + partialFailuresBuilder_.dispose(); + partialFailuresBuilder_ = null; + partialFailures_ = other.partialFailures_; + bitField0_ = (bitField0_ & ~0x00000001); + partialFailuresBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getPartialFailuresFieldBuilder() + : null; + } else { + partialFailuresBuilder_.addAllMessages(other.partialFailures_); + } + } + } + if (other.hasCreateTime()) { + mergeCreateTime(other.getCreateTime()); + } + if (other.hasUpdateTime()) { + mergeUpdateTime(other.getUpdateTime()); + } + switch (other.getDetailsCase()) { + case DELETE_DETAILS: + { + mergeDeleteDetails(other.getDeleteDetails()); + break; + } + case DEPLOY_MODEL_DETAILS: + { + mergeDeployModelDetails(other.getDeployModelDetails()); + break; + } + case UNDEPLOY_MODEL_DETAILS: + { + mergeUndeployModelDetails(other.getUndeployModelDetails()); + break; + } + case CREATE_MODEL_DETAILS: + { + mergeCreateModelDetails(other.getCreateModelDetails()); + break; + } + case IMPORT_DATA_DETAILS: + { + mergeImportDataDetails(other.getImportDataDetails()); + break; + } + case BATCH_PREDICT_DETAILS: + { + mergeBatchPredictDetails(other.getBatchPredictDetails()); + break; + } + case EXPORT_DATA_DETAILS: + { + mergeExportDataDetails(other.getExportDataDetails()); + break; + } + case EXPORT_MODEL_DETAILS: + { + mergeExportModelDetails(other.getExportModelDetails()); + break; + } + case EXPORT_EVALUATED_EXAMPLES_DETAILS: + { + mergeExportEvaluatedExamplesDetails(other.getExportEvaluatedExamplesDetails()); + break; + } + case DETAILS_NOT_SET: + { + break; + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.OperationMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.OperationMetadata) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int detailsCase_ = 0; + private java.lang.Object details_; + + public DetailsCase getDetailsCase() { + return DetailsCase.forNumber(detailsCase_); + } + + public Builder clearDetails() { + detailsCase_ = 0; + details_ = null; + onChanged(); + return this; + } + + private int bitField0_; + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DeleteOperationMetadata, + com.google.cloud.automl.v1beta1.DeleteOperationMetadata.Builder, + com.google.cloud.automl.v1beta1.DeleteOperationMetadataOrBuilder> + deleteDetailsBuilder_; + /** + * + * + * 
+     * Details of a Delete operation.
+     *
+ * + * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8; + * + * @return Whether the deleteDetails field is set. + */ + public boolean hasDeleteDetails() { + return detailsCase_ == 8; + } + /** + * + * + * 
+     * Details of a Delete operation.
+     *
+ * + * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8; + * + * @return The deleteDetails. + */ + public com.google.cloud.automl.v1beta1.DeleteOperationMetadata getDeleteDetails() { + if (deleteDetailsBuilder_ == null) { + if (detailsCase_ == 8) { + return (com.google.cloud.automl.v1beta1.DeleteOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.DeleteOperationMetadata.getDefaultInstance(); + } else { + if (detailsCase_ == 8) { + return deleteDetailsBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.DeleteOperationMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Details of a Delete operation.
+     *
+ * + * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8; + */ + public Builder setDeleteDetails(com.google.cloud.automl.v1beta1.DeleteOperationMetadata value) { + if (deleteDetailsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + details_ = value; + onChanged(); + } else { + deleteDetailsBuilder_.setMessage(value); + } + detailsCase_ = 8; + return this; + } + /** + * + * + * 
+     * Details of a Delete operation.
+     *
+ * + * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8; + */ + public Builder setDeleteDetails( + com.google.cloud.automl.v1beta1.DeleteOperationMetadata.Builder builderForValue) { + if (deleteDetailsBuilder_ == null) { + details_ = builderForValue.build(); + onChanged(); + } else { + deleteDetailsBuilder_.setMessage(builderForValue.build()); + } + detailsCase_ = 8; + return this; + } + /** + * + * + * 
+     * Details of a Delete operation.
+     *
+ * + * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8; + */ + public Builder mergeDeleteDetails( + com.google.cloud.automl.v1beta1.DeleteOperationMetadata value) { + if (deleteDetailsBuilder_ == null) { + if (detailsCase_ == 8 + && details_ + != com.google.cloud.automl.v1beta1.DeleteOperationMetadata.getDefaultInstance()) { + details_ = + com.google.cloud.automl.v1beta1.DeleteOperationMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.DeleteOperationMetadata) details_) + .mergeFrom(value) + .buildPartial(); + } else { + details_ = value; + } + onChanged(); + } else { + if (detailsCase_ == 8) { + deleteDetailsBuilder_.mergeFrom(value); + } + deleteDetailsBuilder_.setMessage(value); + } + detailsCase_ = 8; + return this; + } + /** + * + * + * 
+     * Details of a Delete operation.
+     *
+ * + * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8; + */ + public Builder clearDeleteDetails() { + if (deleteDetailsBuilder_ == null) { + if (detailsCase_ == 8) { + detailsCase_ = 0; + details_ = null; + onChanged(); + } + } else { + if (detailsCase_ == 8) { + detailsCase_ = 0; + details_ = null; + } + deleteDetailsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Details of a Delete operation.
+     *
+ * + * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8; + */ + public com.google.cloud.automl.v1beta1.DeleteOperationMetadata.Builder + getDeleteDetailsBuilder() { + return getDeleteDetailsFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Details of a Delete operation.
+     *
+ * + * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8; + */ + public com.google.cloud.automl.v1beta1.DeleteOperationMetadataOrBuilder + getDeleteDetailsOrBuilder() { + if ((detailsCase_ == 8) && (deleteDetailsBuilder_ != null)) { + return deleteDetailsBuilder_.getMessageOrBuilder(); + } else { + if (detailsCase_ == 8) { + return (com.google.cloud.automl.v1beta1.DeleteOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.DeleteOperationMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Details of a Delete operation.
+     *
+ * + * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DeleteOperationMetadata, + com.google.cloud.automl.v1beta1.DeleteOperationMetadata.Builder, + com.google.cloud.automl.v1beta1.DeleteOperationMetadataOrBuilder> + getDeleteDetailsFieldBuilder() { + if (deleteDetailsBuilder_ == null) { + if (!(detailsCase_ == 8)) { + details_ = com.google.cloud.automl.v1beta1.DeleteOperationMetadata.getDefaultInstance(); + } + deleteDetailsBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DeleteOperationMetadata, + com.google.cloud.automl.v1beta1.DeleteOperationMetadata.Builder, + com.google.cloud.automl.v1beta1.DeleteOperationMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.DeleteOperationMetadata) details_, + getParentForChildren(), + isClean()); + details_ = null; + } + detailsCase_ = 8; + onChanged(); + ; + return deleteDetailsBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DeployModelOperationMetadata, + com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.Builder, + com.google.cloud.automl.v1beta1.DeployModelOperationMetadataOrBuilder> + deployModelDetailsBuilder_; + /** + * + * + * 
+     * Details of a DeployModel operation.
+     *
+ * + * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24; + * + * + * @return Whether the deployModelDetails field is set. + */ + public boolean hasDeployModelDetails() { + return detailsCase_ == 24; + } + /** + * + * + * 
+     * Details of a DeployModel operation.
+     *
+ * + * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24; + * + * + * @return The deployModelDetails. + */ + public com.google.cloud.automl.v1beta1.DeployModelOperationMetadata getDeployModelDetails() { + if (deployModelDetailsBuilder_ == null) { + if (detailsCase_ == 24) { + return (com.google.cloud.automl.v1beta1.DeployModelOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.getDefaultInstance(); + } else { + if (detailsCase_ == 24) { + return deployModelDetailsBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Details of a DeployModel operation.
+     *
+ * + * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24; + * + */ + public Builder setDeployModelDetails( + com.google.cloud.automl.v1beta1.DeployModelOperationMetadata value) { + if (deployModelDetailsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + details_ = value; + onChanged(); + } else { + deployModelDetailsBuilder_.setMessage(value); + } + detailsCase_ = 24; + return this; + } + /** + * + * + * 
+     * Details of a DeployModel operation.
+     *
+ * + * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24; + * + */ + public Builder setDeployModelDetails( + com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.Builder builderForValue) { + if (deployModelDetailsBuilder_ == null) { + details_ = builderForValue.build(); + onChanged(); + } else { + deployModelDetailsBuilder_.setMessage(builderForValue.build()); + } + detailsCase_ = 24; + return this; + } + /** + * + * + * 
+     * Details of a DeployModel operation.
+     *
+ * + * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24; + * + */ + public Builder mergeDeployModelDetails( + com.google.cloud.automl.v1beta1.DeployModelOperationMetadata value) { + if (deployModelDetailsBuilder_ == null) { + if (detailsCase_ == 24 + && details_ + != com.google.cloud.automl.v1beta1.DeployModelOperationMetadata + .getDefaultInstance()) { + details_ = + com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.DeployModelOperationMetadata) details_) + .mergeFrom(value) + .buildPartial(); + } else { + details_ = value; + } + onChanged(); + } else { + if (detailsCase_ == 24) { + deployModelDetailsBuilder_.mergeFrom(value); + } + deployModelDetailsBuilder_.setMessage(value); + } + detailsCase_ = 24; + return this; + } + /** + * + * + * 
+     * Details of a DeployModel operation.
+     *
+ * + * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24; + * + */ + public Builder clearDeployModelDetails() { + if (deployModelDetailsBuilder_ == null) { + if (detailsCase_ == 24) { + detailsCase_ = 0; + details_ = null; + onChanged(); + } + } else { + if (detailsCase_ == 24) { + detailsCase_ = 0; + details_ = null; + } + deployModelDetailsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Details of a DeployModel operation.
+     *
+ * + * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24; + * + */ + public com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.Builder + getDeployModelDetailsBuilder() { + return getDeployModelDetailsFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Details of a DeployModel operation.
+     *
+ * + * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24; + * + */ + public com.google.cloud.automl.v1beta1.DeployModelOperationMetadataOrBuilder + getDeployModelDetailsOrBuilder() { + if ((detailsCase_ == 24) && (deployModelDetailsBuilder_ != null)) { + return deployModelDetailsBuilder_.getMessageOrBuilder(); + } else { + if (detailsCase_ == 24) { + return (com.google.cloud.automl.v1beta1.DeployModelOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Details of a DeployModel operation.
+     *
+ * + * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DeployModelOperationMetadata, + com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.Builder, + com.google.cloud.automl.v1beta1.DeployModelOperationMetadataOrBuilder> + getDeployModelDetailsFieldBuilder() { + if (deployModelDetailsBuilder_ == null) { + if (!(detailsCase_ == 24)) { + details_ = + com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.getDefaultInstance(); + } + deployModelDetailsBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DeployModelOperationMetadata, + com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.Builder, + com.google.cloud.automl.v1beta1.DeployModelOperationMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.DeployModelOperationMetadata) details_, + getParentForChildren(), + isClean()); + details_ = null; + } + detailsCase_ = 24; + onChanged(); + ; + return deployModelDetailsBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata, + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.Builder, + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadataOrBuilder> + undeployModelDetailsBuilder_; + /** + * + * + * 
+     * Details of an UndeployModel operation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25; + * + * + * @return Whether the undeployModelDetails field is set. + */ + public boolean hasUndeployModelDetails() { + return detailsCase_ == 25; + } + /** + * + * + * 
+     * Details of an UndeployModel operation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25; + * + * + * @return The undeployModelDetails. + */ + public com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata + getUndeployModelDetails() { + if (undeployModelDetailsBuilder_ == null) { + if (detailsCase_ == 25) { + return (com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.getDefaultInstance(); + } else { + if (detailsCase_ == 25) { + return undeployModelDetailsBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Details of an UndeployModel operation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25; + * + */ + public Builder setUndeployModelDetails( + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata value) { + if (undeployModelDetailsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + details_ = value; + onChanged(); + } else { + undeployModelDetailsBuilder_.setMessage(value); + } + detailsCase_ = 25; + return this; + } + /** + * + * + * 
+     * Details of an UndeployModel operation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25; + * + */ + public Builder setUndeployModelDetails( + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.Builder builderForValue) { + if (undeployModelDetailsBuilder_ == null) { + details_ = builderForValue.build(); + onChanged(); + } else { + undeployModelDetailsBuilder_.setMessage(builderForValue.build()); + } + detailsCase_ = 25; + return this; + } + /** + * + * + * 
+     * Details of an UndeployModel operation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25; + * + */ + public Builder mergeUndeployModelDetails( + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata value) { + if (undeployModelDetailsBuilder_ == null) { + if (detailsCase_ == 25 + && details_ + != com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata + .getDefaultInstance()) { + details_ = + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) details_) + .mergeFrom(value) + .buildPartial(); + } else { + details_ = value; + } + onChanged(); + } else { + if (detailsCase_ == 25) { + undeployModelDetailsBuilder_.mergeFrom(value); + } + undeployModelDetailsBuilder_.setMessage(value); + } + detailsCase_ = 25; + return this; + } + /** + * + * + * 
+     * Details of an UndeployModel operation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25; + * + */ + public Builder clearUndeployModelDetails() { + if (undeployModelDetailsBuilder_ == null) { + if (detailsCase_ == 25) { + detailsCase_ = 0; + details_ = null; + onChanged(); + } + } else { + if (detailsCase_ == 25) { + detailsCase_ = 0; + details_ = null; + } + undeployModelDetailsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Details of an UndeployModel operation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25; + * + */ + public com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.Builder + getUndeployModelDetailsBuilder() { + return getUndeployModelDetailsFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Details of an UndeployModel operation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25; + * + */ + public com.google.cloud.automl.v1beta1.UndeployModelOperationMetadataOrBuilder + getUndeployModelDetailsOrBuilder() { + if ((detailsCase_ == 25) && (undeployModelDetailsBuilder_ != null)) { + return undeployModelDetailsBuilder_.getMessageOrBuilder(); + } else { + if (detailsCase_ == 25) { + return (com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Details of an UndeployModel operation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata, + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.Builder, + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadataOrBuilder> + getUndeployModelDetailsFieldBuilder() { + if (undeployModelDetailsBuilder_ == null) { + if (!(detailsCase_ == 25)) { + details_ = + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.getDefaultInstance(); + } + undeployModelDetailsBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata, + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.Builder, + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) details_, + getParentForChildren(), + isClean()); + details_ = null; + } + detailsCase_ = 25; + onChanged(); + ; + return undeployModelDetailsBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.CreateModelOperationMetadata, + com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.Builder, + com.google.cloud.automl.v1beta1.CreateModelOperationMetadataOrBuilder> + createModelDetailsBuilder_; + /** + * + * + * 
+     * Details of CreateModel operation.
+     *
+ * + * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10; + * + * + * @return Whether the createModelDetails field is set. + */ + public boolean hasCreateModelDetails() { + return detailsCase_ == 10; + } + /** + * + * + * 
+     * Details of CreateModel operation.
+     *
+ * + * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10; + * + * + * @return The createModelDetails. + */ + public com.google.cloud.automl.v1beta1.CreateModelOperationMetadata getCreateModelDetails() { + if (createModelDetailsBuilder_ == null) { + if (detailsCase_ == 10) { + return (com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.getDefaultInstance(); + } else { + if (detailsCase_ == 10) { + return createModelDetailsBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Details of CreateModel operation.
+     *
+ * + * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10; + * + */ + public Builder setCreateModelDetails( + com.google.cloud.automl.v1beta1.CreateModelOperationMetadata value) { + if (createModelDetailsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + details_ = value; + onChanged(); + } else { + createModelDetailsBuilder_.setMessage(value); + } + detailsCase_ = 10; + return this; + } + /** + * + * + * 
+     * Details of CreateModel operation.
+     *
+ * + * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10; + * + */ + public Builder setCreateModelDetails( + com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.Builder builderForValue) { + if (createModelDetailsBuilder_ == null) { + details_ = builderForValue.build(); + onChanged(); + } else { + createModelDetailsBuilder_.setMessage(builderForValue.build()); + } + detailsCase_ = 10; + return this; + } + /** + * + * + * 
+     * Details of CreateModel operation.
+     *
+ * + * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10; + * + */ + public Builder mergeCreateModelDetails( + com.google.cloud.automl.v1beta1.CreateModelOperationMetadata value) { + if (createModelDetailsBuilder_ == null) { + if (detailsCase_ == 10 + && details_ + != com.google.cloud.automl.v1beta1.CreateModelOperationMetadata + .getDefaultInstance()) { + details_ = + com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) details_) + .mergeFrom(value) + .buildPartial(); + } else { + details_ = value; + } + onChanged(); + } else { + if (detailsCase_ == 10) { + createModelDetailsBuilder_.mergeFrom(value); + } + createModelDetailsBuilder_.setMessage(value); + } + detailsCase_ = 10; + return this; + } + /** + * + * + * 
+     * Details of CreateModel operation.
+     *
+ * + * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10; + * + */ + public Builder clearCreateModelDetails() { + if (createModelDetailsBuilder_ == null) { + if (detailsCase_ == 10) { + detailsCase_ = 0; + details_ = null; + onChanged(); + } + } else { + if (detailsCase_ == 10) { + detailsCase_ = 0; + details_ = null; + } + createModelDetailsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Details of CreateModel operation.
+     *
+ * + * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10; + * + */ + public com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.Builder + getCreateModelDetailsBuilder() { + return getCreateModelDetailsFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Details of CreateModel operation.
+     *
+ * + * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10; + * + */ + public com.google.cloud.automl.v1beta1.CreateModelOperationMetadataOrBuilder + getCreateModelDetailsOrBuilder() { + if ((detailsCase_ == 10) && (createModelDetailsBuilder_ != null)) { + return createModelDetailsBuilder_.getMessageOrBuilder(); + } else { + if (detailsCase_ == 10) { + return (com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Details of CreateModel operation.
+     *
+ * + * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.CreateModelOperationMetadata, + com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.Builder, + com.google.cloud.automl.v1beta1.CreateModelOperationMetadataOrBuilder> + getCreateModelDetailsFieldBuilder() { + if (createModelDetailsBuilder_ == null) { + if (!(detailsCase_ == 10)) { + details_ = + com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.getDefaultInstance(); + } + createModelDetailsBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.CreateModelOperationMetadata, + com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.Builder, + com.google.cloud.automl.v1beta1.CreateModelOperationMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) details_, + getParentForChildren(), + isClean()); + details_ = null; + } + detailsCase_ = 10; + onChanged(); + ; + return createModelDetailsBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ImportDataOperationMetadata, + com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.Builder, + com.google.cloud.automl.v1beta1.ImportDataOperationMetadataOrBuilder> + importDataDetailsBuilder_; + /** + * + * + * 
+     * Details of ImportData operation.
+     *
+ * + * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15; + * + * + * @return Whether the importDataDetails field is set. + */ + public boolean hasImportDataDetails() { + return detailsCase_ == 15; + } + /** + * + * + * 
+     * Details of ImportData operation.
+     *
+ * + * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15; + * + * + * @return The importDataDetails. + */ + public com.google.cloud.automl.v1beta1.ImportDataOperationMetadata getImportDataDetails() { + if (importDataDetailsBuilder_ == null) { + if (detailsCase_ == 15) { + return (com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.getDefaultInstance(); + } else { + if (detailsCase_ == 15) { + return importDataDetailsBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Details of ImportData operation.
+     *
+ * + * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15; + * + */ + public Builder setImportDataDetails( + com.google.cloud.automl.v1beta1.ImportDataOperationMetadata value) { + if (importDataDetailsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + details_ = value; + onChanged(); + } else { + importDataDetailsBuilder_.setMessage(value); + } + detailsCase_ = 15; + return this; + } + /** + * + * + * 
+     * Details of ImportData operation.
+     *
+ * + * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15; + * + */ + public Builder setImportDataDetails( + com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.Builder builderForValue) { + if (importDataDetailsBuilder_ == null) { + details_ = builderForValue.build(); + onChanged(); + } else { + importDataDetailsBuilder_.setMessage(builderForValue.build()); + } + detailsCase_ = 15; + return this; + } + /** + * + * + * 
+     * Details of ImportData operation.
+     *
+ * + * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15; + * + */ + public Builder mergeImportDataDetails( + com.google.cloud.automl.v1beta1.ImportDataOperationMetadata value) { + if (importDataDetailsBuilder_ == null) { + if (detailsCase_ == 15 + && details_ + != com.google.cloud.automl.v1beta1.ImportDataOperationMetadata + .getDefaultInstance()) { + details_ = + com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) details_) + .mergeFrom(value) + .buildPartial(); + } else { + details_ = value; + } + onChanged(); + } else { + if (detailsCase_ == 15) { + importDataDetailsBuilder_.mergeFrom(value); + } + importDataDetailsBuilder_.setMessage(value); + } + detailsCase_ = 15; + return this; + } + /** + * + * + * 
+     * Details of ImportData operation.
+     *
+ * + * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15; + * + */ + public Builder clearImportDataDetails() { + if (importDataDetailsBuilder_ == null) { + if (detailsCase_ == 15) { + detailsCase_ = 0; + details_ = null; + onChanged(); + } + } else { + if (detailsCase_ == 15) { + detailsCase_ = 0; + details_ = null; + } + importDataDetailsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Details of ImportData operation.
+     *
+ * + * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15; + * + */ + public com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.Builder + getImportDataDetailsBuilder() { + return getImportDataDetailsFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Details of ImportData operation.
+     *
+ * + * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15; + * + */ + public com.google.cloud.automl.v1beta1.ImportDataOperationMetadataOrBuilder + getImportDataDetailsOrBuilder() { + if ((detailsCase_ == 15) && (importDataDetailsBuilder_ != null)) { + return importDataDetailsBuilder_.getMessageOrBuilder(); + } else { + if (detailsCase_ == 15) { + return (com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Details of ImportData operation.
+     *
+ * + * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ImportDataOperationMetadata, + com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.Builder, + com.google.cloud.automl.v1beta1.ImportDataOperationMetadataOrBuilder> + getImportDataDetailsFieldBuilder() { + if (importDataDetailsBuilder_ == null) { + if (!(detailsCase_ == 15)) { + details_ = + com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.getDefaultInstance(); + } + importDataDetailsBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ImportDataOperationMetadata, + com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.Builder, + com.google.cloud.automl.v1beta1.ImportDataOperationMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) details_, + getParentForChildren(), + isClean()); + details_ = null; + } + detailsCase_ = 15; + onChanged(); + ; + return importDataDetailsBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata, + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.Builder, + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadataOrBuilder> + batchPredictDetailsBuilder_; + /** + * + * + * 
+     * Details of BatchPredict operation.
+     *
+ * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16; + * + * + * @return Whether the batchPredictDetails field is set. + */ + public boolean hasBatchPredictDetails() { + return detailsCase_ == 16; + } + /** + * + * + * 
+     * Details of BatchPredict operation.
+     *
+ * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16; + * + * + * @return The batchPredictDetails. + */ + public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata getBatchPredictDetails() { + if (batchPredictDetailsBuilder_ == null) { + if (detailsCase_ == 16) { + return (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.getDefaultInstance(); + } else { + if (detailsCase_ == 16) { + return batchPredictDetailsBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Details of BatchPredict operation.
+     *
+ * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16; + * + */ + public Builder setBatchPredictDetails( + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata value) { + if (batchPredictDetailsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + details_ = value; + onChanged(); + } else { + batchPredictDetailsBuilder_.setMessage(value); + } + detailsCase_ = 16; + return this; + } + /** + * + * + * 
+     * Details of BatchPredict operation.
+     *
+ * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16; + * + */ + public Builder setBatchPredictDetails( + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.Builder builderForValue) { + if (batchPredictDetailsBuilder_ == null) { + details_ = builderForValue.build(); + onChanged(); + } else { + batchPredictDetailsBuilder_.setMessage(builderForValue.build()); + } + detailsCase_ = 16; + return this; + } + /** + * + * + * 
+     * Details of BatchPredict operation.
+     *
+ * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16; + * + */ + public Builder mergeBatchPredictDetails( + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata value) { + if (batchPredictDetailsBuilder_ == null) { + if (detailsCase_ == 16 + && details_ + != com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata + .getDefaultInstance()) { + details_ = + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata) details_) + .mergeFrom(value) + .buildPartial(); + } else { + details_ = value; + } + onChanged(); + } else { + if (detailsCase_ == 16) { + batchPredictDetailsBuilder_.mergeFrom(value); + } + batchPredictDetailsBuilder_.setMessage(value); + } + detailsCase_ = 16; + return this; + } + /** + * + * + * 
+     * Details of BatchPredict operation.
+     *
+ * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16; + * + */ + public Builder clearBatchPredictDetails() { + if (batchPredictDetailsBuilder_ == null) { + if (detailsCase_ == 16) { + detailsCase_ = 0; + details_ = null; + onChanged(); + } + } else { + if (detailsCase_ == 16) { + detailsCase_ = 0; + details_ = null; + } + batchPredictDetailsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Details of BatchPredict operation.
+     *
+ * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16; + * + */ + public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.Builder + getBatchPredictDetailsBuilder() { + return getBatchPredictDetailsFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Details of BatchPredict operation.
+     *
+ * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16; + * + */ + public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadataOrBuilder + getBatchPredictDetailsOrBuilder() { + if ((detailsCase_ == 16) && (batchPredictDetailsBuilder_ != null)) { + return batchPredictDetailsBuilder_.getMessageOrBuilder(); + } else { + if (detailsCase_ == 16) { + return (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Details of BatchPredict operation.
+     *
+ * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata, + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.Builder, + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadataOrBuilder> + getBatchPredictDetailsFieldBuilder() { + if (batchPredictDetailsBuilder_ == null) { + if (!(detailsCase_ == 16)) { + details_ = + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.getDefaultInstance(); + } + batchPredictDetailsBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata, + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.Builder, + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata) details_, + getParentForChildren(), + isClean()); + details_ = null; + } + detailsCase_ = 16; + onChanged(); + ; + return batchPredictDetailsBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata, + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.Builder, + com.google.cloud.automl.v1beta1.ExportDataOperationMetadataOrBuilder> + exportDataDetailsBuilder_; + /** + * + * + * 
+     * Details of ExportData operation.
+     *
+ * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21; + * + * + * @return Whether the exportDataDetails field is set. + */ + public boolean hasExportDataDetails() { + return detailsCase_ == 21; + } + /** + * + * + * 
+     * Details of ExportData operation.
+     *
+ * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21; + * + * + * @return The exportDataDetails. + */ + public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata getExportDataDetails() { + if (exportDataDetailsBuilder_ == null) { + if (detailsCase_ == 21) { + return (com.google.cloud.automl.v1beta1.ExportDataOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.getDefaultInstance(); + } else { + if (detailsCase_ == 21) { + return exportDataDetailsBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Details of ExportData operation.
+     *
+ * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21; + * + */ + public Builder setExportDataDetails( + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata value) { + if (exportDataDetailsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + details_ = value; + onChanged(); + } else { + exportDataDetailsBuilder_.setMessage(value); + } + detailsCase_ = 21; + return this; + } + /** + * + * + * 
+     * Details of ExportData operation.
+     *
+ * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21; + * + */ + public Builder setExportDataDetails( + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.Builder builderForValue) { + if (exportDataDetailsBuilder_ == null) { + details_ = builderForValue.build(); + onChanged(); + } else { + exportDataDetailsBuilder_.setMessage(builderForValue.build()); + } + detailsCase_ = 21; + return this; + } + /** + * + * + * 
+     * Details of ExportData operation.
+     *
+ * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21; + * + */ + public Builder mergeExportDataDetails( + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata value) { + if (exportDataDetailsBuilder_ == null) { + if (detailsCase_ == 21 + && details_ + != com.google.cloud.automl.v1beta1.ExportDataOperationMetadata + .getDefaultInstance()) { + details_ = + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.ExportDataOperationMetadata) details_) + .mergeFrom(value) + .buildPartial(); + } else { + details_ = value; + } + onChanged(); + } else { + if (detailsCase_ == 21) { + exportDataDetailsBuilder_.mergeFrom(value); + } + exportDataDetailsBuilder_.setMessage(value); + } + detailsCase_ = 21; + return this; + } + /** + * + * + * 
+     * Details of ExportData operation.
+     *
+ * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21; + * + */ + public Builder clearExportDataDetails() { + if (exportDataDetailsBuilder_ == null) { + if (detailsCase_ == 21) { + detailsCase_ = 0; + details_ = null; + onChanged(); + } + } else { + if (detailsCase_ == 21) { + detailsCase_ = 0; + details_ = null; + } + exportDataDetailsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Details of ExportData operation.
+     *
+ * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21; + * + */ + public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.Builder + getExportDataDetailsBuilder() { + return getExportDataDetailsFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Details of ExportData operation.
+     *
+ * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21; + * + */ + public com.google.cloud.automl.v1beta1.ExportDataOperationMetadataOrBuilder + getExportDataDetailsOrBuilder() { + if ((detailsCase_ == 21) && (exportDataDetailsBuilder_ != null)) { + return exportDataDetailsBuilder_.getMessageOrBuilder(); + } else { + if (detailsCase_ == 21) { + return (com.google.cloud.automl.v1beta1.ExportDataOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Details of ExportData operation.
+     *
+ * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata, + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.Builder, + com.google.cloud.automl.v1beta1.ExportDataOperationMetadataOrBuilder> + getExportDataDetailsFieldBuilder() { + if (exportDataDetailsBuilder_ == null) { + if (!(detailsCase_ == 21)) { + details_ = + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.getDefaultInstance(); + } + exportDataDetailsBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata, + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.Builder, + com.google.cloud.automl.v1beta1.ExportDataOperationMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.ExportDataOperationMetadata) details_, + getParentForChildren(), + isClean()); + details_ = null; + } + detailsCase_ = 21; + onChanged(); + ; + return exportDataDetailsBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata, + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.Builder, + com.google.cloud.automl.v1beta1.ExportModelOperationMetadataOrBuilder> + exportModelDetailsBuilder_; + /** + * + * + * 
+     * Details of ExportModel operation.
+     *
+ * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22; + * + * + * @return Whether the exportModelDetails field is set. + */ + public boolean hasExportModelDetails() { + return detailsCase_ == 22; + } + /** + * + * + * 
+     * Details of ExportModel operation.
+     *
+ * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22; + * + * + * @return The exportModelDetails. + */ + public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata getExportModelDetails() { + if (exportModelDetailsBuilder_ == null) { + if (detailsCase_ == 22) { + return (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.getDefaultInstance(); + } else { + if (detailsCase_ == 22) { + return exportModelDetailsBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Details of ExportModel operation.
+     *
+ * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22; + * + */ + public Builder setExportModelDetails( + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata value) { + if (exportModelDetailsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + details_ = value; + onChanged(); + } else { + exportModelDetailsBuilder_.setMessage(value); + } + detailsCase_ = 22; + return this; + } + /** + * + * + * 
+     * Details of ExportModel operation.
+     *
+ * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22; + * + */ + public Builder setExportModelDetails( + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.Builder builderForValue) { + if (exportModelDetailsBuilder_ == null) { + details_ = builderForValue.build(); + onChanged(); + } else { + exportModelDetailsBuilder_.setMessage(builderForValue.build()); + } + detailsCase_ = 22; + return this; + } + /** + * + * + * 
+     * Details of ExportModel operation.
+     *
+ * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22; + * + */ + public Builder mergeExportModelDetails( + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata value) { + if (exportModelDetailsBuilder_ == null) { + if (detailsCase_ == 22 + && details_ + != com.google.cloud.automl.v1beta1.ExportModelOperationMetadata + .getDefaultInstance()) { + details_ = + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) details_) + .mergeFrom(value) + .buildPartial(); + } else { + details_ = value; + } + onChanged(); + } else { + if (detailsCase_ == 22) { + exportModelDetailsBuilder_.mergeFrom(value); + } + exportModelDetailsBuilder_.setMessage(value); + } + detailsCase_ = 22; + return this; + } + /** + * + * + * 
+     * Details of ExportModel operation.
+     *
+ * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22; + * + */ + public Builder clearExportModelDetails() { + if (exportModelDetailsBuilder_ == null) { + if (detailsCase_ == 22) { + detailsCase_ = 0; + details_ = null; + onChanged(); + } + } else { + if (detailsCase_ == 22) { + detailsCase_ = 0; + details_ = null; + } + exportModelDetailsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Details of ExportModel operation.
+     *
+ * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22; + * + */ + public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.Builder + getExportModelDetailsBuilder() { + return getExportModelDetailsFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Details of ExportModel operation.
+     *
+ * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22; + * + */ + public com.google.cloud.automl.v1beta1.ExportModelOperationMetadataOrBuilder + getExportModelDetailsOrBuilder() { + if ((detailsCase_ == 22) && (exportModelDetailsBuilder_ != null)) { + return exportModelDetailsBuilder_.getMessageOrBuilder(); + } else { + if (detailsCase_ == 22) { + return (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) details_; + } + return com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.getDefaultInstance(); + } + } + /** + * + * + * 
+     * Details of ExportModel operation.
+     *
+ * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata, + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.Builder, + com.google.cloud.automl.v1beta1.ExportModelOperationMetadataOrBuilder> + getExportModelDetailsFieldBuilder() { + if (exportModelDetailsBuilder_ == null) { + if (!(detailsCase_ == 22)) { + details_ = + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.getDefaultInstance(); + } + exportModelDetailsBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata, + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.Builder, + com.google.cloud.automl.v1beta1.ExportModelOperationMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) details_, + getParentForChildren(), + isClean()); + details_ = null; + } + detailsCase_ = 22; + onChanged(); + ; + return exportModelDetailsBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata, + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.Builder, + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadataOrBuilder> + exportEvaluatedExamplesDetailsBuilder_; + /** + * + * + * 
+     * Details of ExportEvaluatedExamples operation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26; + * + * + * @return Whether the exportEvaluatedExamplesDetails field is set. + */ + public boolean hasExportEvaluatedExamplesDetails() { + return detailsCase_ == 26; + } + /** + * + * + * 
+     * Details of ExportEvaluatedExamples operation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26; + * + * + * @return The exportEvaluatedExamplesDetails. + */ + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + getExportEvaluatedExamplesDetails() { + if (exportEvaluatedExamplesDetailsBuilder_ == null) { + if (detailsCase_ == 26) { + return (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata) + details_; + } + return com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .getDefaultInstance(); + } else { + if (detailsCase_ == 26) { + return exportEvaluatedExamplesDetailsBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Details of ExportEvaluatedExamples operation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26; + * + */ + public Builder setExportEvaluatedExamplesDetails( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata value) { + if (exportEvaluatedExamplesDetailsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + details_ = value; + onChanged(); + } else { + exportEvaluatedExamplesDetailsBuilder_.setMessage(value); + } + detailsCase_ = 26; + return this; + } + /** + * + * + * 
+     * Details of ExportEvaluatedExamples operation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26; + * + */ + public Builder setExportEvaluatedExamplesDetails( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.Builder + builderForValue) { + if (exportEvaluatedExamplesDetailsBuilder_ == null) { + details_ = builderForValue.build(); + onChanged(); + } else { + exportEvaluatedExamplesDetailsBuilder_.setMessage(builderForValue.build()); + } + detailsCase_ = 26; + return this; + } + /** + * + * + * 
+     * Details of ExportEvaluatedExamples operation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26; + * + */ + public Builder mergeExportEvaluatedExamplesDetails( + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata value) { + if (exportEvaluatedExamplesDetailsBuilder_ == null) { + if (detailsCase_ == 26 + && details_ + != com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .getDefaultInstance()) { + details_ = + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.newBuilder( + (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata) + details_) + .mergeFrom(value) + .buildPartial(); + } else { + details_ = value; + } + onChanged(); + } else { + if (detailsCase_ == 26) { + exportEvaluatedExamplesDetailsBuilder_.mergeFrom(value); + } + exportEvaluatedExamplesDetailsBuilder_.setMessage(value); + } + detailsCase_ = 26; + return this; + } + /** + * + * + * 
+     * Details of ExportEvaluatedExamples operation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26; + * + */ + public Builder clearExportEvaluatedExamplesDetails() { + if (exportEvaluatedExamplesDetailsBuilder_ == null) { + if (detailsCase_ == 26) { + detailsCase_ = 0; + details_ = null; + onChanged(); + } + } else { + if (detailsCase_ == 26) { + detailsCase_ = 0; + details_ = null; + } + exportEvaluatedExamplesDetailsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Details of ExportEvaluatedExamples operation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26; + * + */ + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.Builder + getExportEvaluatedExamplesDetailsBuilder() { + return getExportEvaluatedExamplesDetailsFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Details of ExportEvaluatedExamples operation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26; + * + */ + public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadataOrBuilder + getExportEvaluatedExamplesDetailsOrBuilder() { + if ((detailsCase_ == 26) && (exportEvaluatedExamplesDetailsBuilder_ != null)) { + return exportEvaluatedExamplesDetailsBuilder_.getMessageOrBuilder(); + } else { + if (detailsCase_ == 26) { + return (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata) + details_; + } + return com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .getDefaultInstance(); + } + } + /** + * + * + * 
+     * Details of ExportEvaluatedExamples operation.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata, + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.Builder, + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadataOrBuilder> + getExportEvaluatedExamplesDetailsFieldBuilder() { + if (exportEvaluatedExamplesDetailsBuilder_ == null) { + if (!(detailsCase_ == 26)) { + details_ = + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + .getDefaultInstance(); + } + exportEvaluatedExamplesDetailsBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata, + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.Builder, + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadataOrBuilder>( + (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata) details_, + getParentForChildren(), + isClean()); + details_ = null; + } + detailsCase_ = 26; + onChanged(); + ; + return exportEvaluatedExamplesDetailsBuilder_; + } + + private int progressPercent_; + /** + * + * + * 
+     * Output only. Progress of operation. Range: [0, 100].
+     * Not used currently.
+     *
+ * + * int32 progress_percent = 13; + * + * @return The progressPercent. + */ + public int getProgressPercent() { + return progressPercent_; + } + /** + * + * + * 
+     * Output only. Progress of operation. Range: [0, 100].
+     * Not used currently.
+     *
+ * + * int32 progress_percent = 13; + * + * @param value The progressPercent to set. + * @return This builder for chaining. + */ + public Builder setProgressPercent(int value) { + + progressPercent_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. Progress of operation. Range: [0, 100].
+     * Not used currently.
+     *
+ * + * int32 progress_percent = 13; + * + * @return This builder for chaining. + */ + public Builder clearProgressPercent() { + + progressPercent_ = 0; + onChanged(); + return this; + } + + private java.util.List partialFailures_ = + java.util.Collections.emptyList(); + + private void ensurePartialFailuresIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + partialFailures_ = new java.util.ArrayList(partialFailures_); + bitField0_ |= 0x00000001; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.rpc.Status, com.google.rpc.Status.Builder, com.google.rpc.StatusOrBuilder> + partialFailuresBuilder_; + + /** + * + * + * 
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + public java.util.List getPartialFailuresList() { + if (partialFailuresBuilder_ == null) { + return java.util.Collections.unmodifiableList(partialFailures_); + } else { + return partialFailuresBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + public int getPartialFailuresCount() { + if (partialFailuresBuilder_ == null) { + return partialFailures_.size(); + } else { + return partialFailuresBuilder_.getCount(); + } + } + /** + * + * + * 
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + public com.google.rpc.Status getPartialFailures(int index) { + if (partialFailuresBuilder_ == null) { + return partialFailures_.get(index); + } else { + return partialFailuresBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + public Builder setPartialFailures(int index, com.google.rpc.Status value) { + if (partialFailuresBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensurePartialFailuresIsMutable(); + partialFailures_.set(index, value); + onChanged(); + } else { + partialFailuresBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + public Builder setPartialFailures(int index, com.google.rpc.Status.Builder builderForValue) { + if (partialFailuresBuilder_ == null) { + ensurePartialFailuresIsMutable(); + partialFailures_.set(index, builderForValue.build()); + onChanged(); + } else { + partialFailuresBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + public Builder addPartialFailures(com.google.rpc.Status value) { + if (partialFailuresBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensurePartialFailuresIsMutable(); + partialFailures_.add(value); + onChanged(); + } else { + partialFailuresBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + public Builder addPartialFailures(int index, com.google.rpc.Status value) { + if (partialFailuresBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensurePartialFailuresIsMutable(); + partialFailures_.add(index, value); + onChanged(); + } else { + partialFailuresBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + public Builder addPartialFailures(com.google.rpc.Status.Builder builderForValue) { + if (partialFailuresBuilder_ == null) { + ensurePartialFailuresIsMutable(); + partialFailures_.add(builderForValue.build()); + onChanged(); + } else { + partialFailuresBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + public Builder addPartialFailures(int index, com.google.rpc.Status.Builder builderForValue) { + if (partialFailuresBuilder_ == null) { + ensurePartialFailuresIsMutable(); + partialFailures_.add(index, builderForValue.build()); + onChanged(); + } else { + partialFailuresBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + public Builder addAllPartialFailures( + java.lang.Iterable values) { + if (partialFailuresBuilder_ == null) { + ensurePartialFailuresIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, partialFailures_); + onChanged(); + } else { + partialFailuresBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + public Builder clearPartialFailures() { + if (partialFailuresBuilder_ == null) { + partialFailures_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + } else { + partialFailuresBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + public Builder removePartialFailures(int index) { + if (partialFailuresBuilder_ == null) { + ensurePartialFailuresIsMutable(); + partialFailures_.remove(index); + onChanged(); + } else { + partialFailuresBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + public com.google.rpc.Status.Builder getPartialFailuresBuilder(int index) { + return getPartialFailuresFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + public com.google.rpc.StatusOrBuilder getPartialFailuresOrBuilder(int index) { + if (partialFailuresBuilder_ == null) { + return partialFailures_.get(index); + } else { + return partialFailuresBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + public java.util.List + getPartialFailuresOrBuilderList() { + if (partialFailuresBuilder_ != null) { + return partialFailuresBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(partialFailures_); + } + } + /** + * + * + * 
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + public com.google.rpc.Status.Builder addPartialFailuresBuilder() { + return getPartialFailuresFieldBuilder() + .addBuilder(com.google.rpc.Status.getDefaultInstance()); + } + /** + * + * + * 
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + public com.google.rpc.Status.Builder addPartialFailuresBuilder(int index) { + return getPartialFailuresFieldBuilder() + .addBuilder(index, com.google.rpc.Status.getDefaultInstance()); + } + /** + * + * + * 
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + public java.util.List getPartialFailuresBuilderList() { + return getPartialFailuresFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.rpc.Status, com.google.rpc.Status.Builder, com.google.rpc.StatusOrBuilder> + getPartialFailuresFieldBuilder() { + if (partialFailuresBuilder_ == null) { + partialFailuresBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.rpc.Status, + com.google.rpc.Status.Builder, + com.google.rpc.StatusOrBuilder>( + partialFailures_, + ((bitField0_ & 0x00000001) != 0), + getParentForChildren(), + isClean()); + partialFailures_ = null; + } + return partialFailuresBuilder_; + } + + private com.google.protobuf.Timestamp createTime_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Timestamp, + com.google.protobuf.Timestamp.Builder, + com.google.protobuf.TimestampOrBuilder> + createTimeBuilder_; + /** + * + * + * 
+     * Output only. Time when the operation was created.
+     *
+ * + * .google.protobuf.Timestamp create_time = 3; + * + * @return Whether the createTime field is set. + */ + public boolean hasCreateTime() { + return createTimeBuilder_ != null || createTime_ != null; + } + /** + * + * + * 
+     * Output only. Time when the operation was created.
+     *
+ * + * .google.protobuf.Timestamp create_time = 3; + * + * @return The createTime. + */ + public com.google.protobuf.Timestamp getCreateTime() { + if (createTimeBuilder_ == null) { + return createTime_ == null + ? com.google.protobuf.Timestamp.getDefaultInstance() + : createTime_; + } else { + return createTimeBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Output only. Time when the operation was created.
+     *
+ * + * .google.protobuf.Timestamp create_time = 3; + */ + public Builder setCreateTime(com.google.protobuf.Timestamp value) { + if (createTimeBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + createTime_ = value; + onChanged(); + } else { + createTimeBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. Time when the operation was created.
+     *
+ * + * .google.protobuf.Timestamp create_time = 3; + */ + public Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) { + if (createTimeBuilder_ == null) { + createTime_ = builderForValue.build(); + onChanged(); + } else { + createTimeBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Output only. Time when the operation was created.
+     *
+ * + * .google.protobuf.Timestamp create_time = 3; + */ + public Builder mergeCreateTime(com.google.protobuf.Timestamp value) { + if (createTimeBuilder_ == null) { + if (createTime_ != null) { + createTime_ = + com.google.protobuf.Timestamp.newBuilder(createTime_).mergeFrom(value).buildPartial(); + } else { + createTime_ = value; + } + onChanged(); + } else { + createTimeBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. Time when the operation was created.
+     *
+ * + * .google.protobuf.Timestamp create_time = 3; + */ + public Builder clearCreateTime() { + if (createTimeBuilder_ == null) { + createTime_ = null; + onChanged(); + } else { + createTime_ = null; + createTimeBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Output only. Time when the operation was created.
+     *
+ * + * .google.protobuf.Timestamp create_time = 3; + */ + public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder() { + + onChanged(); + return getCreateTimeFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Output only. Time when the operation was created.
+     *
+ * + * .google.protobuf.Timestamp create_time = 3; + */ + public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() { + if (createTimeBuilder_ != null) { + return createTimeBuilder_.getMessageOrBuilder(); + } else { + return createTime_ == null + ? com.google.protobuf.Timestamp.getDefaultInstance() + : createTime_; + } + } + /** + * + * + * 
+     * Output only. Time when the operation was created.
+     *
+ * + * .google.protobuf.Timestamp create_time = 3; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Timestamp, + com.google.protobuf.Timestamp.Builder, + com.google.protobuf.TimestampOrBuilder> + getCreateTimeFieldBuilder() { + if (createTimeBuilder_ == null) { + createTimeBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Timestamp, + com.google.protobuf.Timestamp.Builder, + com.google.protobuf.TimestampOrBuilder>( + getCreateTime(), getParentForChildren(), isClean()); + createTime_ = null; + } + return createTimeBuilder_; + } + + private com.google.protobuf.Timestamp updateTime_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Timestamp, + com.google.protobuf.Timestamp.Builder, + com.google.protobuf.TimestampOrBuilder> + updateTimeBuilder_; + /** + * + * + * 
+     * Output only. Time when the operation was updated for the last time.
+     *
+ * + * .google.protobuf.Timestamp update_time = 4; + * + * @return Whether the updateTime field is set. + */ + public boolean hasUpdateTime() { + return updateTimeBuilder_ != null || updateTime_ != null; + } + /** + * + * + * 
+     * Output only. Time when the operation was updated for the last time.
+     *
+ * + * .google.protobuf.Timestamp update_time = 4; + * + * @return The updateTime. + */ + public com.google.protobuf.Timestamp getUpdateTime() { + if (updateTimeBuilder_ == null) { + return updateTime_ == null + ? com.google.protobuf.Timestamp.getDefaultInstance() + : updateTime_; + } else { + return updateTimeBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Output only. Time when the operation was updated for the last time.
+     *
+ * + * .google.protobuf.Timestamp update_time = 4; + */ + public Builder setUpdateTime(com.google.protobuf.Timestamp value) { + if (updateTimeBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + updateTime_ = value; + onChanged(); + } else { + updateTimeBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. Time when the operation was updated for the last time.
+     *
+ * + * .google.protobuf.Timestamp update_time = 4; + */ + public Builder setUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue) { + if (updateTimeBuilder_ == null) { + updateTime_ = builderForValue.build(); + onChanged(); + } else { + updateTimeBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Output only. Time when the operation was updated for the last time.
+     *
+ * + * .google.protobuf.Timestamp update_time = 4; + */ + public Builder mergeUpdateTime(com.google.protobuf.Timestamp value) { + if (updateTimeBuilder_ == null) { + if (updateTime_ != null) { + updateTime_ = + com.google.protobuf.Timestamp.newBuilder(updateTime_).mergeFrom(value).buildPartial(); + } else { + updateTime_ = value; + } + onChanged(); + } else { + updateTimeBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. Time when the operation was updated for the last time.
+     *
+ * + * .google.protobuf.Timestamp update_time = 4; + */ + public Builder clearUpdateTime() { + if (updateTimeBuilder_ == null) { + updateTime_ = null; + onChanged(); + } else { + updateTime_ = null; + updateTimeBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Output only. Time when the operation was updated for the last time.
+     *
+ * + * .google.protobuf.Timestamp update_time = 4; + */ + public com.google.protobuf.Timestamp.Builder getUpdateTimeBuilder() { + + onChanged(); + return getUpdateTimeFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Output only. Time when the operation was updated for the last time.
+     *
+ * + * .google.protobuf.Timestamp update_time = 4; + */ + public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() { + if (updateTimeBuilder_ != null) { + return updateTimeBuilder_.getMessageOrBuilder(); + } else { + return updateTime_ == null + ? com.google.protobuf.Timestamp.getDefaultInstance() + : updateTime_; + } + } + /** + * + * + * 
+     * Output only. Time when the operation was updated for the last time.
+     *
+ * + * .google.protobuf.Timestamp update_time = 4; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Timestamp, + com.google.protobuf.Timestamp.Builder, + com.google.protobuf.TimestampOrBuilder> + getUpdateTimeFieldBuilder() { + if (updateTimeBuilder_ == null) { + updateTimeBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Timestamp, + com.google.protobuf.Timestamp.Builder, + com.google.protobuf.TimestampOrBuilder>( + getUpdateTime(), getParentForChildren(), isClean()); + updateTime_ = null; + } + return updateTimeBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.OperationMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.OperationMetadata) + private static final com.google.cloud.automl.v1beta1.OperationMetadata DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.OperationMetadata(); + } + + public static com.google.cloud.automl.v1beta1.OperationMetadata getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public OperationMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new OperationMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.OperationMetadata getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OperationMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OperationMetadataOrBuilder.java new file mode 100644 index 000000000..939243f18 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OperationMetadataOrBuilder.java @@ -0,0 +1,522 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/operations.proto + +package com.google.cloud.automl.v1beta1; + +public interface OperationMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.OperationMetadata) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Details of a Delete operation.
+   *
+ * + * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8; + * + * @return Whether the deleteDetails field is set. + */ + boolean hasDeleteDetails(); + /** + * + * + * 
+   * Details of a Delete operation.
+   *
+ * + * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8; + * + * @return The deleteDetails. + */ + com.google.cloud.automl.v1beta1.DeleteOperationMetadata getDeleteDetails(); + /** + * + * + * 
+   * Details of a Delete operation.
+   *
+ * + * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8; + */ + com.google.cloud.automl.v1beta1.DeleteOperationMetadataOrBuilder getDeleteDetailsOrBuilder(); + + /** + * + * + * 
+   * Details of a DeployModel operation.
+   *
+ * + * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24; + * + * + * @return Whether the deployModelDetails field is set. + */ + boolean hasDeployModelDetails(); + /** + * + * + * 
+   * Details of a DeployModel operation.
+   *
+ * + * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24; + * + * + * @return The deployModelDetails. + */ + com.google.cloud.automl.v1beta1.DeployModelOperationMetadata getDeployModelDetails(); + /** + * + * + * 
+   * Details of a DeployModel operation.
+   *
+ * + * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24; + * + */ + com.google.cloud.automl.v1beta1.DeployModelOperationMetadataOrBuilder + getDeployModelDetailsOrBuilder(); + + /** + * + * + * 
+   * Details of an UndeployModel operation.
+   *
+ * + * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25; + * + * + * @return Whether the undeployModelDetails field is set. + */ + boolean hasUndeployModelDetails(); + /** + * + * + * 
+   * Details of an UndeployModel operation.
+   *
+ * + * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25; + * + * + * @return The undeployModelDetails. + */ + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata getUndeployModelDetails(); + /** + * + * + * 
+   * Details of an UndeployModel operation.
+   *
+ * + * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25; + * + */ + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadataOrBuilder + getUndeployModelDetailsOrBuilder(); + + /** + * + * + * 
+   * Details of CreateModel operation.
+   *
+ * + * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10; + * + * + * @return Whether the createModelDetails field is set. + */ + boolean hasCreateModelDetails(); + /** + * + * + * 
+   * Details of CreateModel operation.
+   *
+ * + * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10; + * + * + * @return The createModelDetails. + */ + com.google.cloud.automl.v1beta1.CreateModelOperationMetadata getCreateModelDetails(); + /** + * + * + * 
+   * Details of CreateModel operation.
+   *
+ * + * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10; + * + */ + com.google.cloud.automl.v1beta1.CreateModelOperationMetadataOrBuilder + getCreateModelDetailsOrBuilder(); + + /** + * + * + * 
+   * Details of ImportData operation.
+   *
+ * + * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15; + * + * @return Whether the importDataDetails field is set. + */ + boolean hasImportDataDetails(); + /** + * + * + * 
+   * Details of ImportData operation.
+   *
+ * + * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15; + * + * @return The importDataDetails. + */ + com.google.cloud.automl.v1beta1.ImportDataOperationMetadata getImportDataDetails(); + /** + * + * + * 
+   * Details of ImportData operation.
+   *
+ * + * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15; + */ + com.google.cloud.automl.v1beta1.ImportDataOperationMetadataOrBuilder + getImportDataDetailsOrBuilder(); + + /** + * + * + * 
+   * Details of BatchPredict operation.
+   *
+ * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16; + * + * + * @return Whether the batchPredictDetails field is set. + */ + boolean hasBatchPredictDetails(); + /** + * + * + * 
+   * Details of BatchPredict operation.
+   *
+ * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16; + * + * + * @return The batchPredictDetails. + */ + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata getBatchPredictDetails(); + /** + * + * + * 
+   * Details of BatchPredict operation.
+   *
+ * + * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16; + * + */ + com.google.cloud.automl.v1beta1.BatchPredictOperationMetadataOrBuilder + getBatchPredictDetailsOrBuilder(); + + /** + * + * + * 
+   * Details of ExportData operation.
+   *
+ * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21; + * + * @return Whether the exportDataDetails field is set. + */ + boolean hasExportDataDetails(); + /** + * + * + * 
+   * Details of ExportData operation.
+   *
+ * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21; + * + * @return The exportDataDetails. + */ + com.google.cloud.automl.v1beta1.ExportDataOperationMetadata getExportDataDetails(); + /** + * + * + * 
+   * Details of ExportData operation.
+   *
+ * + * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21; + */ + com.google.cloud.automl.v1beta1.ExportDataOperationMetadataOrBuilder + getExportDataDetailsOrBuilder(); + + /** + * + * + * 
+   * Details of ExportModel operation.
+   *
+ * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22; + * + * + * @return Whether the exportModelDetails field is set. + */ + boolean hasExportModelDetails(); + /** + * + * + * 
+   * Details of ExportModel operation.
+   *
+ * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22; + * + * + * @return The exportModelDetails. + */ + com.google.cloud.automl.v1beta1.ExportModelOperationMetadata getExportModelDetails(); + /** + * + * + * 
+   * Details of ExportModel operation.
+   *
+ * + * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22; + * + */ + com.google.cloud.automl.v1beta1.ExportModelOperationMetadataOrBuilder + getExportModelDetailsOrBuilder(); + + /** + * + * + * 
+   * Details of ExportEvaluatedExamples operation.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26; + * + * + * @return Whether the exportEvaluatedExamplesDetails field is set. + */ + boolean hasExportEvaluatedExamplesDetails(); + /** + * + * + * 
+   * Details of ExportEvaluatedExamples operation.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26; + * + * + * @return The exportEvaluatedExamplesDetails. + */ + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata + getExportEvaluatedExamplesDetails(); + /** + * + * + * 
+   * Details of ExportEvaluatedExamples operation.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26; + * + */ + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadataOrBuilder + getExportEvaluatedExamplesDetailsOrBuilder(); + + /** + * + * + * 
+   * Output only. Progress of operation. Range: [0, 100].
+   * Not used currently.
+   *
+ * + * int32 progress_percent = 13; + * + * @return The progressPercent. + */ + int getProgressPercent(); + + /** + * + * + * 
+   * Output only. Partial failures encountered.
+   * E.g. single files that couldn't be read.
+   * This field should never exceed 20 entries.
+   * Status details field will contain standard GCP error details.
+   *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + java.util.List getPartialFailuresList(); + /** + * + * + * 
+   * Output only. Partial failures encountered.
+   * E.g. single files that couldn't be read.
+   * This field should never exceed 20 entries.
+   * Status details field will contain standard GCP error details.
+   *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + com.google.rpc.Status getPartialFailures(int index); + /** + * + * + * 
+   * Output only. Partial failures encountered.
+   * E.g. single files that couldn't be read.
+   * This field should never exceed 20 entries.
+   * Status details field will contain standard GCP error details.
+   *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + int getPartialFailuresCount(); + /** + * + * + * 
+   * Output only. Partial failures encountered.
+   * E.g. single files that couldn't be read.
+   * This field should never exceed 20 entries.
+   * Status details field will contain standard GCP error details.
+   *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + java.util.List getPartialFailuresOrBuilderList(); + /** + * + * + * 
+   * Output only. Partial failures encountered.
+   * E.g. single files that couldn't be read.
+   * This field should never exceed 20 entries.
+   * Status details field will contain standard GCP error details.
+   *
+ * + * repeated .google.rpc.Status partial_failures = 2; + */ + com.google.rpc.StatusOrBuilder getPartialFailuresOrBuilder(int index); + + /** + * + * + * 
+   * Output only. Time when the operation was created.
+   *
+ * + * .google.protobuf.Timestamp create_time = 3; + * + * @return Whether the createTime field is set. + */ + boolean hasCreateTime(); + /** + * + * + * 
+   * Output only. Time when the operation was created.
+   *
+ * + * .google.protobuf.Timestamp create_time = 3; + * + * @return The createTime. + */ + com.google.protobuf.Timestamp getCreateTime(); + /** + * + * + * 
+   * Output only. Time when the operation was created.
+   *
+ * + * .google.protobuf.Timestamp create_time = 3; + */ + com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder(); + + /** + * + * + * 
+   * Output only. Time when the operation was updated for the last time.
+   *
+ * + * .google.protobuf.Timestamp update_time = 4; + * + * @return Whether the updateTime field is set. + */ + boolean hasUpdateTime(); + /** + * + * + * 
+   * Output only. Time when the operation was updated for the last time.
+   *
+ * + * .google.protobuf.Timestamp update_time = 4; + * + * @return The updateTime. + */ + com.google.protobuf.Timestamp getUpdateTime(); + /** + * + * + * 
+   * Output only. Time when the operation was updated for the last time.
+   *
+ * + * .google.protobuf.Timestamp update_time = 4; + */ + com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder(); + + public com.google.cloud.automl.v1beta1.OperationMetadata.DetailsCase getDetailsCase(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Operations.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Operations.java new file mode 100644 index 000000000..ed65a2044 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Operations.java @@ -0,0 +1,309 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/operations.proto + +package com.google.cloud.automl.v1beta1; + +public final class Operations { + private Operations() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_OperationMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_OperationMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_DeleteOperationMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_DeleteOperationMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_DeployModelOperationMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_DeployModelOperationMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_UndeployModelOperationMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_UndeployModelOperationMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_CreateModelOperationMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_CreateModelOperationMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ImportDataOperationMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ImportDataOperationMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_ExportDataOutputInfo_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_ExportDataOutputInfo_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_BatchPredictOutputInfo_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_BatchPredictOutputInfo_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_ExportModelOutputInfo_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_ExportModelOutputInfo_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_ExportEvaluatedExamplesOutputInfo_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_ExportEvaluatedExamplesOutputInfo_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n,google/cloud/automl/v1beta1/operations" + + ".proto\022\033google.cloud.automl.v1beta1\032$goo" + + "gle/cloud/automl/v1beta1/io.proto\032\'googl" + + "e/cloud/automl/v1beta1/model.proto\0322goog" + + "le/cloud/automl/v1beta1/model_evaluation" + + ".proto\032\033google/protobuf/empty.proto\032\037goo" + + "gle/protobuf/timestamp.proto\032\027google/rpc" + + "/status.proto\032\034google/api/annotations.pr" + + "oto\"\213\010\n\021OperationMetadata\022N\n\016delete_deta" + + "ils\030\010 \001(\01324.google.cloud.automl.v1beta1." + + "DeleteOperationMetadataH\000\022Y\n\024deploy_mode" + + "l_details\030\030 \001(\01329.google.cloud.automl.v1" + + "beta1.DeployModelOperationMetadataH\000\022]\n\026" + + "undeploy_model_details\030\031 \001(\0132;.google.cl" + + "oud.automl.v1beta1.UndeployModelOperatio" + + "nMetadataH\000\022Y\n\024create_model_details\030\n \001(" + + "\01329.google.cloud.automl.v1beta1.CreateMo" + + "delOperationMetadataH\000\022W\n\023import_data_de" + + "tails\030\017 \001(\01328.google.cloud.automl.v1beta" + + "1.ImportDataOperationMetadataH\000\022[\n\025batch" + + "_predict_details\030\020 \001(\0132:.google.cloud.au" + + "toml.v1beta1.BatchPredictOperationMetada" + + "taH\000\022W\n\023export_data_details\030\025 \001(\01328.goog" + + "le.cloud.automl.v1beta1.ExportDataOperat" + + "ionMetadataH\000\022Y\n\024export_model_details\030\026 " + + "\001(\01329.google.cloud.automl.v1beta1.Export" + + "ModelOperationMetadataH\000\022r\n!export_evalu" + + "ated_examples_details\030\032 \001(\0132E.google.clo" + + "ud.automl.v1beta1.ExportEvaluatedExample" + + "sOperationMetadataH\000\022\030\n\020progress_percent" + + "\030\r \001(\005\022,\n\020partial_failures\030\002 \003(\0132\022.googl" + + "e.rpc.Status\022/\n\013create_time\030\003 \001(\0132\032.goog" + + "le.protobuf.Timestamp\022/\n\013update_time\030\004 \001" + + "(\0132\032.google.protobuf.TimestampB\t\n\007detail" + + "s\"\031\n\027DeleteOperationMetadata\"\036\n\034DeployMo" + + "delOperationMetadata\" \n\036UndeployModelOpe" + + "rationMetadata\"\036\n\034CreateModelOperationMe" + + "tadata\"\035\n\033ImportDataOperationMetadata\"\357\001" + + "\n\033ExportDataOperationMetadata\022b\n\013output_" + + "info\030\001 \001(\0132M.google.cloud.automl.v1beta1" + + ".ExportDataOperationMetadata.ExportDataO" + + "utputInfo\032l\n\024ExportDataOutputInfo\022\036\n\024gcs" + + "_output_directory\030\001 \001(\tH\000\022!\n\027bigquery_ou" + + "tput_dataset\030\002 \001(\tH\000B\021\n\017output_location\"" + + "\303\002\n\035BatchPredictOperationMetadata\022J\n\014inp" + + "ut_config\030\001 \001(\01324.google.cloud.automl.v1" + + "beta1.BatchPredictInputConfig\022f\n\013output_" + + "info\030\002 \001(\0132Q.google.cloud.automl.v1beta1" + + ".BatchPredictOperationMetadata.BatchPred" + + "ictOutputInfo\032n\n\026BatchPredictOutputInfo\022" + + "\036\n\024gcs_output_directory\030\001 \001(\tH\000\022!\n\027bigqu" + + "ery_output_dataset\030\002 \001(\tH\000B\021\n\017output_loc" + + "ation\"\273\001\n\034ExportModelOperationMetadata\022d" + + "\n\013output_info\030\002 \001(\0132O.google.cloud.autom" + + "l.v1beta1.ExportModelOperationMetadata.E" + + "xportModelOutputInfo\0325\n\025ExportModelOutpu" + + "tInfo\022\034\n\024gcs_output_directory\030\001 \001(\t\"\356\001\n(" + + "ExportEvaluatedExamplesOperationMetadata" + + "\022|\n\013output_info\030\002 \001(\0132g.google.cloud.aut" + + "oml.v1beta1.ExportEvaluatedExamplesOpera" + + "tionMetadata.ExportEvaluatedExamplesOutp" + + "utInfo\032D\n!ExportEvaluatedExamplesOutputI" + + "nfo\022\037\n\027bigquery_output_dataset\030\002 \001(\tB\245\001\n" + + "\037com.google.cloud.automl.v1beta1P\001ZAgoog" + + "le.golang.org/genproto/googleapis/cloud/" + + "automl/v1beta1;automl\312\002\033Google\\Cloud\\Aut" + + "oMl\\V1beta1\352\002\036Google::Cloud::AutoML::V1b" + + "eta1b\006proto3" + }; + descriptor = + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.cloud.automl.v1beta1.Io.getDescriptor(), + com.google.cloud.automl.v1beta1.ModelOuterClass.getDescriptor(), + com.google.cloud.automl.v1beta1.ModelEvaluationOuterClass.getDescriptor(), + com.google.protobuf.EmptyProto.getDescriptor(), + com.google.protobuf.TimestampProto.getDescriptor(), + com.google.rpc.StatusProto.getDescriptor(), + com.google.api.AnnotationsProto.getDescriptor(), + }); + internal_static_google_cloud_automl_v1beta1_OperationMetadata_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_OperationMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_OperationMetadata_descriptor, + new java.lang.String[] { + "DeleteDetails", + "DeployModelDetails", + "UndeployModelDetails", + "CreateModelDetails", + "ImportDataDetails", + "BatchPredictDetails", + "ExportDataDetails", + "ExportModelDetails", + "ExportEvaluatedExamplesDetails", + "ProgressPercent", + "PartialFailures", + "CreateTime", + "UpdateTime", + "Details", + }); + internal_static_google_cloud_automl_v1beta1_DeleteOperationMetadata_descriptor = + getDescriptor().getMessageTypes().get(1); + internal_static_google_cloud_automl_v1beta1_DeleteOperationMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_DeleteOperationMetadata_descriptor, + new java.lang.String[] {}); + internal_static_google_cloud_automl_v1beta1_DeployModelOperationMetadata_descriptor = + getDescriptor().getMessageTypes().get(2); + internal_static_google_cloud_automl_v1beta1_DeployModelOperationMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_DeployModelOperationMetadata_descriptor, + new java.lang.String[] {}); + internal_static_google_cloud_automl_v1beta1_UndeployModelOperationMetadata_descriptor = + getDescriptor().getMessageTypes().get(3); + internal_static_google_cloud_automl_v1beta1_UndeployModelOperationMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_UndeployModelOperationMetadata_descriptor, + new java.lang.String[] {}); + internal_static_google_cloud_automl_v1beta1_CreateModelOperationMetadata_descriptor = + getDescriptor().getMessageTypes().get(4); + internal_static_google_cloud_automl_v1beta1_CreateModelOperationMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_CreateModelOperationMetadata_descriptor, + new java.lang.String[] {}); + internal_static_google_cloud_automl_v1beta1_ImportDataOperationMetadata_descriptor = + getDescriptor().getMessageTypes().get(5); + internal_static_google_cloud_automl_v1beta1_ImportDataOperationMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ImportDataOperationMetadata_descriptor, + new java.lang.String[] {}); + internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_descriptor = + getDescriptor().getMessageTypes().get(6); + internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_descriptor, + new java.lang.String[] { + "OutputInfo", + }); + internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_ExportDataOutputInfo_descriptor = + internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_descriptor + .getNestedTypes() + .get(0); + internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_ExportDataOutputInfo_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_ExportDataOutputInfo_descriptor, + new java.lang.String[] { + "GcsOutputDirectory", "BigqueryOutputDataset", "OutputLocation", + }); + internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_descriptor = + getDescriptor().getMessageTypes().get(7); + internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_descriptor, + new java.lang.String[] { + "InputConfig", "OutputInfo", + }); + internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_BatchPredictOutputInfo_descriptor = + internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_descriptor + .getNestedTypes() + .get(0); + internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_BatchPredictOutputInfo_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_BatchPredictOutputInfo_descriptor, + new java.lang.String[] { + "GcsOutputDirectory", "BigqueryOutputDataset", "OutputLocation", + }); + internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_descriptor = + getDescriptor().getMessageTypes().get(8); + internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_descriptor, + new java.lang.String[] { + "OutputInfo", + }); + internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_ExportModelOutputInfo_descriptor = + internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_descriptor + .getNestedTypes() + .get(0); + internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_ExportModelOutputInfo_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_ExportModelOutputInfo_descriptor, + new java.lang.String[] { + "GcsOutputDirectory", + }); + internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_descriptor = + getDescriptor().getMessageTypes().get(9); + internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_descriptor, + new java.lang.String[] { + "OutputInfo", + }); + internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_ExportEvaluatedExamplesOutputInfo_descriptor = + internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_descriptor + .getNestedTypes() + .get(0); + internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_ExportEvaluatedExamplesOutputInfo_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_ExportEvaluatedExamplesOutputInfo_descriptor, + new java.lang.String[] { + "BigqueryOutputDataset", + }); + com.google.cloud.automl.v1beta1.Io.getDescriptor(); + com.google.cloud.automl.v1beta1.ModelOuterClass.getDescriptor(); + com.google.cloud.automl.v1beta1.ModelEvaluationOuterClass.getDescriptor(); + com.google.protobuf.EmptyProto.getDescriptor(); + com.google.protobuf.TimestampProto.getDescriptor(); + com.google.rpc.StatusProto.getDescriptor(); + com.google.api.AnnotationsProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OutputConfig.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OutputConfig.java new file mode 100644 index 000000000..630c637cd --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OutputConfig.java @@ -0,0 +1,1251 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/io.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * *  For Translation:
+ *         CSV file `translation.csv`, with each line in format:
+ *         ML_USE,GCS_FILE_PATH
+ *         GCS_FILE_PATH leads to a .TSV file which describes examples that have
+ *         given ML_USE, using the following row format per line:
+ *         TEXT_SNIPPET (in source language) \t TEXT_SNIPPET (in target
+ *         language)
+ *   *  For Tables:
+ *         Output depends on whether the dataset was imported from GCS or
+ *         BigQuery.
+ *         GCS case:
+ * [gcs_destination][google.cloud.automl.v1beta1.OutputConfig.gcs_destination]
+ *           must be set. Exported are CSV file(s) `tables_1.csv`,
+ *           `tables_2.csv`,...,`tables_N.csv` with each having as header line
+ *           the table's column names, and all other lines contain values for
+ *           the header columns.
+ *         BigQuery case:
+ * [bigquery_destination][google.cloud.automl.v1beta1.OutputConfig.bigquery_destination]
+ *           pointing to a BigQuery project must be set. In the given project a
+ *           new dataset will be created with name
+ * `export_data_<automl-dataset-display-name>_<timestamp-of-export-call>`
+ *           where <automl-dataset-display-name> will be made
+ *           BigQuery-dataset-name compatible (e.g. most special characters will
+ *           become underscores), and timestamp will be in
+ *           YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In that
+ *           dataset a new table called `primary_table` will be created, and
+ *           filled with precisely the same data as this obtained on import.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.OutputConfig} + */ +public final class OutputConfig extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.OutputConfig) + OutputConfigOrBuilder { + private static final long serialVersionUID = 0L; + // Use OutputConfig.newBuilder() to construct. + private OutputConfig(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private OutputConfig() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new OutputConfig(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private OutputConfig( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + com.google.cloud.automl.v1beta1.GcsDestination.Builder subBuilder = null; + if (destinationCase_ == 1) { + subBuilder = + ((com.google.cloud.automl.v1beta1.GcsDestination) destination_).toBuilder(); + } + destination_ = + input.readMessage( + com.google.cloud.automl.v1beta1.GcsDestination.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.GcsDestination) destination_); + destination_ = subBuilder.buildPartial(); + } + destinationCase_ = 1; + break; + } + case 18: + { + com.google.cloud.automl.v1beta1.BigQueryDestination.Builder subBuilder = null; + if (destinationCase_ == 2) { + subBuilder = + ((com.google.cloud.automl.v1beta1.BigQueryDestination) destination_) + .toBuilder(); + } + destination_ = + input.readMessage( + com.google.cloud.automl.v1beta1.BigQueryDestination.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom( + (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_); + destination_ = subBuilder.buildPartial(); + } + destinationCase_ = 2; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_OutputConfig_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_OutputConfig_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.OutputConfig.class, + com.google.cloud.automl.v1beta1.OutputConfig.Builder.class); + } + + private int destinationCase_ = 0; + private java.lang.Object destination_; + + public enum DestinationCase + implements + com.google.protobuf.Internal.EnumLite, + com.google.protobuf.AbstractMessage.InternalOneOfEnum { + GCS_DESTINATION(1), + BIGQUERY_DESTINATION(2), + DESTINATION_NOT_SET(0); + private final int value; + + private DestinationCase(int value) { + this.value = value; + } + /** + * @param value The number of the enum to look for. + * @return The enum associated with the given number. + * @deprecated Use {@link #forNumber(int)} instead. + */ + @java.lang.Deprecated + public static DestinationCase valueOf(int value) { + return forNumber(value); + } + + public static DestinationCase forNumber(int value) { + switch (value) { + case 1: + return GCS_DESTINATION; + case 2: + return BIGQUERY_DESTINATION; + case 0: + return DESTINATION_NOT_SET; + default: + return null; + } + } + + public int getNumber() { + return this.value; + } + }; + + public DestinationCase getDestinationCase() { + return DestinationCase.forNumber(destinationCase_); + } + + public static final int GCS_DESTINATION_FIELD_NUMBER = 1; + /** + * + * + * 
+   * The Google Cloud Storage location where the output is to be written to.
+   * For Image Object Detection, Text Extraction, Video Classification and
+   * Tables, in the given directory a new directory will be created with name:
+   * export_data-<dataset-display-name>-<timestamp-of-export-call> where
+   * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+   * output will be written into that directory.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + * + * @return Whether the gcsDestination field is set. + */ + public boolean hasGcsDestination() { + return destinationCase_ == 1; + } + /** + * + * + * 
+   * The Google Cloud Storage location where the output is to be written to.
+   * For Image Object Detection, Text Extraction, Video Classification and
+   * Tables, in the given directory a new directory will be created with name:
+   * export_data-<dataset-display-name>-<timestamp-of-export-call> where
+   * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+   * output will be written into that directory.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + * + * @return The gcsDestination. + */ + public com.google.cloud.automl.v1beta1.GcsDestination getGcsDestination() { + if (destinationCase_ == 1) { + return (com.google.cloud.automl.v1beta1.GcsDestination) destination_; + } + return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance(); + } + /** + * + * + * 
+   * The Google Cloud Storage location where the output is to be written to.
+   * For Image Object Detection, Text Extraction, Video Classification and
+   * Tables, in the given directory a new directory will be created with name:
+   * export_data-<dataset-display-name>-<timestamp-of-export-call> where
+   * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+   * output will be written into that directory.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + */ + public com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder getGcsDestinationOrBuilder() { + if (destinationCase_ == 1) { + return (com.google.cloud.automl.v1beta1.GcsDestination) destination_; + } + return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance(); + } + + public static final int BIGQUERY_DESTINATION_FIELD_NUMBER = 2; + /** + * + * + * 
+   * The BigQuery location where the output is to be written to.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + * + * @return Whether the bigqueryDestination field is set. + */ + public boolean hasBigqueryDestination() { + return destinationCase_ == 2; + } + /** + * + * + * 
+   * The BigQuery location where the output is to be written to.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + * + * @return The bigqueryDestination. + */ + public com.google.cloud.automl.v1beta1.BigQueryDestination getBigqueryDestination() { + if (destinationCase_ == 2) { + return (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_; + } + return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance(); + } + /** + * + * + * 
+   * The BigQuery location where the output is to be written to.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + */ + public com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder + getBigqueryDestinationOrBuilder() { + if (destinationCase_ == 2) { + return (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_; + } + return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (destinationCase_ == 1) { + output.writeMessage(1, (com.google.cloud.automl.v1beta1.GcsDestination) destination_); + } + if (destinationCase_ == 2) { + output.writeMessage(2, (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (destinationCase_ == 1) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 1, (com.google.cloud.automl.v1beta1.GcsDestination) destination_); + } + if (destinationCase_ == 2) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 2, (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.OutputConfig)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.OutputConfig other = + (com.google.cloud.automl.v1beta1.OutputConfig) obj; + + if (!getDestinationCase().equals(other.getDestinationCase())) return false; + switch (destinationCase_) { + case 1: + if (!getGcsDestination().equals(other.getGcsDestination())) return false; + break; + case 2: + if (!getBigqueryDestination().equals(other.getBigqueryDestination())) return false; + break; + case 0: + default: + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + switch (destinationCase_) { + case 1: + hash = (37 * hash) + GCS_DESTINATION_FIELD_NUMBER; + hash = (53 * hash) + getGcsDestination().hashCode(); + break; + case 2: + hash = (37 * hash) + BIGQUERY_DESTINATION_FIELD_NUMBER; + hash = (53 * hash) + getBigqueryDestination().hashCode(); + break; + case 0: + default: + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.OutputConfig parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.OutputConfig parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.OutputConfig parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.OutputConfig parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.OutputConfig parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.OutputConfig parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.OutputConfig parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.OutputConfig parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.OutputConfig parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.OutputConfig parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.OutputConfig parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.OutputConfig parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.OutputConfig prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * *  For Translation:
+   *         CSV file `translation.csv`, with each line in format:
+   *         ML_USE,GCS_FILE_PATH
+   *         GCS_FILE_PATH leads to a .TSV file which describes examples that have
+   *         given ML_USE, using the following row format per line:
+   *         TEXT_SNIPPET (in source language) \t TEXT_SNIPPET (in target
+   *         language)
+   *   *  For Tables:
+   *         Output depends on whether the dataset was imported from GCS or
+   *         BigQuery.
+   *         GCS case:
+   * [gcs_destination][google.cloud.automl.v1beta1.OutputConfig.gcs_destination]
+   *           must be set. Exported are CSV file(s) `tables_1.csv`,
+   *           `tables_2.csv`,...,`tables_N.csv` with each having as header line
+   *           the table's column names, and all other lines contain values for
+   *           the header columns.
+   *         BigQuery case:
+   * [bigquery_destination][google.cloud.automl.v1beta1.OutputConfig.bigquery_destination]
+   *           pointing to a BigQuery project must be set. In the given project a
+   *           new dataset will be created with name
+   * `export_data_<automl-dataset-display-name>_<timestamp-of-export-call>`
+   *           where <automl-dataset-display-name> will be made
+   *           BigQuery-dataset-name compatible (e.g. most special characters will
+   *           become underscores), and timestamp will be in
+   *           YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In that
+   *           dataset a new table called `primary_table` will be created, and
+   *           filled with precisely the same data as this obtained on import.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.OutputConfig} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.OutputConfig) + com.google.cloud.automl.v1beta1.OutputConfigOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_OutputConfig_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_OutputConfig_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.OutputConfig.class, + com.google.cloud.automl.v1beta1.OutputConfig.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.OutputConfig.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + destinationCase_ = 0; + destination_ = null; + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Io + .internal_static_google_cloud_automl_v1beta1_OutputConfig_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.OutputConfig getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.OutputConfig.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.OutputConfig build() { + com.google.cloud.automl.v1beta1.OutputConfig result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.OutputConfig buildPartial() { + com.google.cloud.automl.v1beta1.OutputConfig result = + new com.google.cloud.automl.v1beta1.OutputConfig(this); + if (destinationCase_ == 1) { + if (gcsDestinationBuilder_ == null) { + result.destination_ = destination_; + } else { + result.destination_ = gcsDestinationBuilder_.build(); + } + } + if (destinationCase_ == 2) { + if (bigqueryDestinationBuilder_ == null) { + result.destination_ = destination_; + } else { + result.destination_ = bigqueryDestinationBuilder_.build(); + } + } + result.destinationCase_ = destinationCase_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.OutputConfig) { + return mergeFrom((com.google.cloud.automl.v1beta1.OutputConfig) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.OutputConfig other) { + if (other == com.google.cloud.automl.v1beta1.OutputConfig.getDefaultInstance()) return this; + switch (other.getDestinationCase()) { + case GCS_DESTINATION: + { + mergeGcsDestination(other.getGcsDestination()); + break; + } + case BIGQUERY_DESTINATION: + { + mergeBigqueryDestination(other.getBigqueryDestination()); + break; + } + case DESTINATION_NOT_SET: + { + break; + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.OutputConfig parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.OutputConfig) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int destinationCase_ = 0; + private java.lang.Object destination_; + + public DestinationCase getDestinationCase() { + return DestinationCase.forNumber(destinationCase_); + } + + public Builder clearDestination() { + destinationCase_ = 0; + destination_ = null; + onChanged(); + return this; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.GcsDestination, + com.google.cloud.automl.v1beta1.GcsDestination.Builder, + com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder> + gcsDestinationBuilder_; + /** + * + * + * 
+     * The Google Cloud Storage location where the output is to be written to.
+     * For Image Object Detection, Text Extraction, Video Classification and
+     * Tables, in the given directory a new directory will be created with name:
+     * export_data-<dataset-display-name>-<timestamp-of-export-call> where
+     * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+     * output will be written into that directory.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + * + * @return Whether the gcsDestination field is set. + */ + public boolean hasGcsDestination() { + return destinationCase_ == 1; + } + /** + * + * + * 
+     * The Google Cloud Storage location where the output is to be written to.
+     * For Image Object Detection, Text Extraction, Video Classification and
+     * Tables, in the given directory a new directory will be created with name:
+     * export_data-<dataset-display-name>-<timestamp-of-export-call> where
+     * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+     * output will be written into that directory.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + * + * @return The gcsDestination. + */ + public com.google.cloud.automl.v1beta1.GcsDestination getGcsDestination() { + if (gcsDestinationBuilder_ == null) { + if (destinationCase_ == 1) { + return (com.google.cloud.automl.v1beta1.GcsDestination) destination_; + } + return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance(); + } else { + if (destinationCase_ == 1) { + return gcsDestinationBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The Google Cloud Storage location where the output is to be written to.
+     * For Image Object Detection, Text Extraction, Video Classification and
+     * Tables, in the given directory a new directory will be created with name:
+     * export_data-<dataset-display-name>-<timestamp-of-export-call> where
+     * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+     * output will be written into that directory.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + */ + public Builder setGcsDestination(com.google.cloud.automl.v1beta1.GcsDestination value) { + if (gcsDestinationBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + destination_ = value; + onChanged(); + } else { + gcsDestinationBuilder_.setMessage(value); + } + destinationCase_ = 1; + return this; + } + /** + * + * + * 
+     * The Google Cloud Storage location where the output is to be written to.
+     * For Image Object Detection, Text Extraction, Video Classification and
+     * Tables, in the given directory a new directory will be created with name:
+     * export_data-<dataset-display-name>-<timestamp-of-export-call> where
+     * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+     * output will be written into that directory.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + */ + public Builder setGcsDestination( + com.google.cloud.automl.v1beta1.GcsDestination.Builder builderForValue) { + if (gcsDestinationBuilder_ == null) { + destination_ = builderForValue.build(); + onChanged(); + } else { + gcsDestinationBuilder_.setMessage(builderForValue.build()); + } + destinationCase_ = 1; + return this; + } + /** + * + * + * 
+     * The Google Cloud Storage location where the output is to be written to.
+     * For Image Object Detection, Text Extraction, Video Classification and
+     * Tables, in the given directory a new directory will be created with name:
+     * export_data-<dataset-display-name>-<timestamp-of-export-call> where
+     * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+     * output will be written into that directory.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + */ + public Builder mergeGcsDestination(com.google.cloud.automl.v1beta1.GcsDestination value) { + if (gcsDestinationBuilder_ == null) { + if (destinationCase_ == 1 + && destination_ + != com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance()) { + destination_ = + com.google.cloud.automl.v1beta1.GcsDestination.newBuilder( + (com.google.cloud.automl.v1beta1.GcsDestination) destination_) + .mergeFrom(value) + .buildPartial(); + } else { + destination_ = value; + } + onChanged(); + } else { + if (destinationCase_ == 1) { + gcsDestinationBuilder_.mergeFrom(value); + } + gcsDestinationBuilder_.setMessage(value); + } + destinationCase_ = 1; + return this; + } + /** + * + * + * 
+     * The Google Cloud Storage location where the output is to be written to.
+     * For Image Object Detection, Text Extraction, Video Classification and
+     * Tables, in the given directory a new directory will be created with name:
+     * export_data-<dataset-display-name>-<timestamp-of-export-call> where
+     * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+     * output will be written into that directory.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + */ + public Builder clearGcsDestination() { + if (gcsDestinationBuilder_ == null) { + if (destinationCase_ == 1) { + destinationCase_ = 0; + destination_ = null; + onChanged(); + } + } else { + if (destinationCase_ == 1) { + destinationCase_ = 0; + destination_ = null; + } + gcsDestinationBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * The Google Cloud Storage location where the output is to be written to.
+     * For Image Object Detection, Text Extraction, Video Classification and
+     * Tables, in the given directory a new directory will be created with name:
+     * export_data-<dataset-display-name>-<timestamp-of-export-call> where
+     * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+     * output will be written into that directory.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + */ + public com.google.cloud.automl.v1beta1.GcsDestination.Builder getGcsDestinationBuilder() { + return getGcsDestinationFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The Google Cloud Storage location where the output is to be written to.
+     * For Image Object Detection, Text Extraction, Video Classification and
+     * Tables, in the given directory a new directory will be created with name:
+     * export_data-<dataset-display-name>-<timestamp-of-export-call> where
+     * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+     * output will be written into that directory.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + */ + public com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder getGcsDestinationOrBuilder() { + if ((destinationCase_ == 1) && (gcsDestinationBuilder_ != null)) { + return gcsDestinationBuilder_.getMessageOrBuilder(); + } else { + if (destinationCase_ == 1) { + return (com.google.cloud.automl.v1beta1.GcsDestination) destination_; + } + return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The Google Cloud Storage location where the output is to be written to.
+     * For Image Object Detection, Text Extraction, Video Classification and
+     * Tables, in the given directory a new directory will be created with name:
+     * export_data-<dataset-display-name>-<timestamp-of-export-call> where
+     * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+     * output will be written into that directory.
+     *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.GcsDestination, + com.google.cloud.automl.v1beta1.GcsDestination.Builder, + com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder> + getGcsDestinationFieldBuilder() { + if (gcsDestinationBuilder_ == null) { + if (!(destinationCase_ == 1)) { + destination_ = com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance(); + } + gcsDestinationBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.GcsDestination, + com.google.cloud.automl.v1beta1.GcsDestination.Builder, + com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder>( + (com.google.cloud.automl.v1beta1.GcsDestination) destination_, + getParentForChildren(), + isClean()); + destination_ = null; + } + destinationCase_ = 1; + onChanged(); + ; + return gcsDestinationBuilder_; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BigQueryDestination, + com.google.cloud.automl.v1beta1.BigQueryDestination.Builder, + com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder> + bigqueryDestinationBuilder_; + /** + * + * + * 
+     * The BigQuery location where the output is to be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + * + * @return Whether the bigqueryDestination field is set. + */ + public boolean hasBigqueryDestination() { + return destinationCase_ == 2; + } + /** + * + * + * 
+     * The BigQuery location where the output is to be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + * + * @return The bigqueryDestination. + */ + public com.google.cloud.automl.v1beta1.BigQueryDestination getBigqueryDestination() { + if (bigqueryDestinationBuilder_ == null) { + if (destinationCase_ == 2) { + return (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_; + } + return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance(); + } else { + if (destinationCase_ == 2) { + return bigqueryDestinationBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The BigQuery location where the output is to be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + */ + public Builder setBigqueryDestination( + com.google.cloud.automl.v1beta1.BigQueryDestination value) { + if (bigqueryDestinationBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + destination_ = value; + onChanged(); + } else { + bigqueryDestinationBuilder_.setMessage(value); + } + destinationCase_ = 2; + return this; + } + /** + * + * + * 
+     * The BigQuery location where the output is to be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + */ + public Builder setBigqueryDestination( + com.google.cloud.automl.v1beta1.BigQueryDestination.Builder builderForValue) { + if (bigqueryDestinationBuilder_ == null) { + destination_ = builderForValue.build(); + onChanged(); + } else { + bigqueryDestinationBuilder_.setMessage(builderForValue.build()); + } + destinationCase_ = 2; + return this; + } + /** + * + * + * 
+     * The BigQuery location where the output is to be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + */ + public Builder mergeBigqueryDestination( + com.google.cloud.automl.v1beta1.BigQueryDestination value) { + if (bigqueryDestinationBuilder_ == null) { + if (destinationCase_ == 2 + && destination_ + != com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance()) { + destination_ = + com.google.cloud.automl.v1beta1.BigQueryDestination.newBuilder( + (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_) + .mergeFrom(value) + .buildPartial(); + } else { + destination_ = value; + } + onChanged(); + } else { + if (destinationCase_ == 2) { + bigqueryDestinationBuilder_.mergeFrom(value); + } + bigqueryDestinationBuilder_.setMessage(value); + } + destinationCase_ = 2; + return this; + } + /** + * + * + * 
+     * The BigQuery location where the output is to be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + */ + public Builder clearBigqueryDestination() { + if (bigqueryDestinationBuilder_ == null) { + if (destinationCase_ == 2) { + destinationCase_ = 0; + destination_ = null; + onChanged(); + } + } else { + if (destinationCase_ == 2) { + destinationCase_ = 0; + destination_ = null; + } + bigqueryDestinationBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * The BigQuery location where the output is to be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + */ + public com.google.cloud.automl.v1beta1.BigQueryDestination.Builder + getBigqueryDestinationBuilder() { + return getBigqueryDestinationFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The BigQuery location where the output is to be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + */ + public com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder + getBigqueryDestinationOrBuilder() { + if ((destinationCase_ == 2) && (bigqueryDestinationBuilder_ != null)) { + return bigqueryDestinationBuilder_.getMessageOrBuilder(); + } else { + if (destinationCase_ == 2) { + return (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_; + } + return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance(); + } + } + /** + * + * + * 
+     * The BigQuery location where the output is to be written to.
+     *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BigQueryDestination, + com.google.cloud.automl.v1beta1.BigQueryDestination.Builder, + com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder> + getBigqueryDestinationFieldBuilder() { + if (bigqueryDestinationBuilder_ == null) { + if (!(destinationCase_ == 2)) { + destination_ = com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance(); + } + bigqueryDestinationBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BigQueryDestination, + com.google.cloud.automl.v1beta1.BigQueryDestination.Builder, + com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder>( + (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_, + getParentForChildren(), + isClean()); + destination_ = null; + } + destinationCase_ = 2; + onChanged(); + ; + return bigqueryDestinationBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.OutputConfig) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.OutputConfig) + private static final com.google.cloud.automl.v1beta1.OutputConfig DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.OutputConfig(); + } + + public static com.google.cloud.automl.v1beta1.OutputConfig getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public OutputConfig parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new OutputConfig(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.OutputConfig getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OutputConfigOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OutputConfigOrBuilder.java new file mode 100644 index 000000000..82e55f6d1 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OutputConfigOrBuilder.java @@ -0,0 +1,112 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/io.proto + +package com.google.cloud.automl.v1beta1; + +public interface OutputConfigOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.OutputConfig) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * The Google Cloud Storage location where the output is to be written to.
+   * For Image Object Detection, Text Extraction, Video Classification and
+   * Tables, in the given directory a new directory will be created with name:
+   * export_data-<dataset-display-name>-<timestamp-of-export-call> where
+   * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+   * output will be written into that directory.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + * + * @return Whether the gcsDestination field is set. + */ + boolean hasGcsDestination(); + /** + * + * + * 
+   * The Google Cloud Storage location where the output is to be written to.
+   * For Image Object Detection, Text Extraction, Video Classification and
+   * Tables, in the given directory a new directory will be created with name:
+   * export_data-<dataset-display-name>-<timestamp-of-export-call> where
+   * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+   * output will be written into that directory.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + * + * @return The gcsDestination. + */ + com.google.cloud.automl.v1beta1.GcsDestination getGcsDestination(); + /** + * + * + * 
+   * The Google Cloud Storage location where the output is to be written to.
+   * For Image Object Detection, Text Extraction, Video Classification and
+   * Tables, in the given directory a new directory will be created with name:
+   * export_data-<dataset-display-name>-<timestamp-of-export-call> where
+   * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+   * output will be written into that directory.
+   *
+ * + * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1; + */ + com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder getGcsDestinationOrBuilder(); + + /** + * + * + * 
+   * The BigQuery location where the output is to be written to.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + * + * @return Whether the bigqueryDestination field is set. + */ + boolean hasBigqueryDestination(); + /** + * + * + * 
+   * The BigQuery location where the output is to be written to.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + * + * @return The bigqueryDestination. + */ + com.google.cloud.automl.v1beta1.BigQueryDestination getBigqueryDestination(); + /** + * + * + * 
+   * The BigQuery location where the output is to be written to.
+   *
+ * + * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2; + */ + com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder getBigqueryDestinationOrBuilder(); + + public com.google.cloud.automl.v1beta1.OutputConfig.DestinationCase getDestinationCase(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictRequest.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictRequest.java new file mode 100644 index 000000000..2d451c300 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictRequest.java @@ -0,0 +1,1447 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/prediction_service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.PredictRequest} + */ +public final class PredictRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.PredictRequest) + PredictRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use PredictRequest.newBuilder() to construct. + private PredictRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private PredictRequest() { + name_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new PredictRequest(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private PredictRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + name_ = s; + break; + } + case 18: + { + com.google.cloud.automl.v1beta1.ExamplePayload.Builder subBuilder = null; + if (payload_ != null) { + subBuilder = payload_.toBuilder(); + } + payload_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ExamplePayload.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(payload_); + payload_ = subBuilder.buildPartial(); + } + + break; + } + case 26: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + params_ = + com.google.protobuf.MapField.newMapField(ParamsDefaultEntryHolder.defaultEntry); + mutable_bitField0_ |= 0x00000001; + } + com.google.protobuf.MapEntry params__ = + input.readMessage( + ParamsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry); + params_.getMutableMap().put(params__.getKey(), params__.getValue()); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.PredictionServiceProto + .internal_static_google_cloud_automl_v1beta1_PredictRequest_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + @java.lang.Override + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 3: + return internalGetParams(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.PredictionServiceProto + .internal_static_google_cloud_automl_v1beta1_PredictRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.PredictRequest.class, + com.google.cloud.automl.v1beta1.PredictRequest.Builder.class); + } + + public static final int NAME_FIELD_NUMBER = 1; + private volatile java.lang.Object name_; + /** + * + * + * 
+   * Required. Name of the model requested to serve the prediction.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. Name of the model requested to serve the prediction.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int PAYLOAD_FIELD_NUMBER = 2; + private com.google.cloud.automl.v1beta1.ExamplePayload payload_; + /** + * + * + * 
+   * Required. Payload to perform a prediction on. The payload must match the
+   * problem type that the model was trained to solve.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the payload field is set. + */ + public boolean hasPayload() { + return payload_ != null; + } + /** + * + * + * 
+   * Required. Payload to perform a prediction on. The payload must match the
+   * problem type that the model was trained to solve.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The payload. + */ + public com.google.cloud.automl.v1beta1.ExamplePayload getPayload() { + return payload_ == null + ? com.google.cloud.automl.v1beta1.ExamplePayload.getDefaultInstance() + : payload_; + } + /** + * + * + * 
+   * Required. Payload to perform a prediction on. The payload must match the
+   * problem type that the model was trained to solve.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.ExamplePayloadOrBuilder getPayloadOrBuilder() { + return getPayload(); + } + + public static final int PARAMS_FIELD_NUMBER = 3; + + private static final class ParamsDefaultEntryHolder { + static final com.google.protobuf.MapEntry defaultEntry = + com.google.protobuf.MapEntry.newDefaultInstance( + com.google.cloud.automl.v1beta1.PredictionServiceProto + .internal_static_google_cloud_automl_v1beta1_PredictRequest_ParamsEntry_descriptor, + com.google.protobuf.WireFormat.FieldType.STRING, + "", + com.google.protobuf.WireFormat.FieldType.STRING, + ""); + } + + private com.google.protobuf.MapField params_; + + private com.google.protobuf.MapField internalGetParams() { + if (params_ == null) { + return com.google.protobuf.MapField.emptyMapField(ParamsDefaultEntryHolder.defaultEntry); + } + return params_; + } + + public int getParamsCount() { + return internalGetParams().getMap().size(); + } + /** + * + * + * 
+   * Additional domain-specific parameters, any string must be up to 25000
+   * characters long.
+   * *  For Image Classification:
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *     makes predictions for an image, it will only produce results that have
+   *     at least this confidence score. The default is 0.5.
+   *  *  For Image Object Detection:
+   *    `score_threshold` - (float) When Model detects objects on the image,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be returned in the response. Default is 100, the
+   *        requested value may be limited by server.
+   * *  For Tables:
+   *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+   *        should be populated in the returned TablesAnnotation.
+   *        The default is false.
+   *
+ * + * map<string, string> params = 3; + */ + public boolean containsParams(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetParams().getMap().containsKey(key); + } + /** Use {@link #getParamsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map getParams() { + return getParamsMap(); + } + /** + * + * + * 
+   * Additional domain-specific parameters, any string must be up to 25000
+   * characters long.
+   * *  For Image Classification:
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *     makes predictions for an image, it will only produce results that have
+   *     at least this confidence score. The default is 0.5.
+   *  *  For Image Object Detection:
+   *    `score_threshold` - (float) When Model detects objects on the image,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be returned in the response. Default is 100, the
+   *        requested value may be limited by server.
+   * *  For Tables:
+   *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+   *        should be populated in the returned TablesAnnotation.
+   *        The default is false.
+   *
+ * + * map<string, string> params = 3; + */ + public java.util.Map getParamsMap() { + return internalGetParams().getMap(); + } + /** + * + * + * 
+   * Additional domain-specific parameters, any string must be up to 25000
+   * characters long.
+   * *  For Image Classification:
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *     makes predictions for an image, it will only produce results that have
+   *     at least this confidence score. The default is 0.5.
+   *  *  For Image Object Detection:
+   *    `score_threshold` - (float) When Model detects objects on the image,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be returned in the response. Default is 100, the
+   *        requested value may be limited by server.
+   * *  For Tables:
+   *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+   *        should be populated in the returned TablesAnnotation.
+   *        The default is false.
+   *
+ * + * map<string, string> params = 3; + */ + public java.lang.String getParamsOrDefault(java.lang.String key, java.lang.String defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = internalGetParams().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+   * Additional domain-specific parameters, any string must be up to 25000
+   * characters long.
+   * *  For Image Classification:
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *     makes predictions for an image, it will only produce results that have
+   *     at least this confidence score. The default is 0.5.
+   *  *  For Image Object Detection:
+   *    `score_threshold` - (float) When Model detects objects on the image,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be returned in the response. Default is 100, the
+   *        requested value may be limited by server.
+   * *  For Tables:
+   *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+   *        should be populated in the returned TablesAnnotation.
+   *        The default is false.
+   *
+ * + * map<string, string> params = 3; + */ + public java.lang.String getParamsOrThrow(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = internalGetParams().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_); + } + if (payload_ != null) { + output.writeMessage(2, getPayload()); + } + com.google.protobuf.GeneratedMessageV3.serializeStringMapTo( + output, internalGetParams(), ParamsDefaultEntryHolder.defaultEntry, 3); + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_); + } + if (payload_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getPayload()); + } + for (java.util.Map.Entry entry : + internalGetParams().getMap().entrySet()) { + com.google.protobuf.MapEntry params__ = + ParamsDefaultEntryHolder.defaultEntry + .newBuilderForType() + .setKey(entry.getKey()) + .setValue(entry.getValue()) + .build(); + size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, params__); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.PredictRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.PredictRequest other = + (com.google.cloud.automl.v1beta1.PredictRequest) obj; + + if (!getName().equals(other.getName())) return false; + if (hasPayload() != other.hasPayload()) return false; + if (hasPayload()) { + if (!getPayload().equals(other.getPayload())) return false; + } + if (!internalGetParams().equals(other.internalGetParams())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + NAME_FIELD_NUMBER; + hash = (53 * hash) + getName().hashCode(); + if (hasPayload()) { + hash = (37 * hash) + PAYLOAD_FIELD_NUMBER; + hash = (53 * hash) + getPayload().hashCode(); + } + if (!internalGetParams().getMap().isEmpty()) { + hash = (37 * hash) + PARAMS_FIELD_NUMBER; + hash = (53 * hash) + internalGetParams().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.PredictRequest parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.PredictRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.PredictRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.PredictRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.PredictRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.PredictRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.PredictRequest parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.PredictRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.PredictRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.PredictRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.PredictRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.PredictRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.PredictRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.PredictRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.PredictRequest) + com.google.cloud.automl.v1beta1.PredictRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.PredictionServiceProto + .internal_static_google_cloud_automl_v1beta1_PredictRequest_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 3: + return internalGetParams(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMutableMapField(int number) { + switch (number) { + case 3: + return internalGetMutableParams(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.PredictionServiceProto + .internal_static_google_cloud_automl_v1beta1_PredictRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.PredictRequest.class, + com.google.cloud.automl.v1beta1.PredictRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.PredictRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + name_ = ""; + + if (payloadBuilder_ == null) { + payload_ = null; + } else { + payload_ = null; + payloadBuilder_ = null; + } + internalGetMutableParams().clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.PredictionServiceProto + .internal_static_google_cloud_automl_v1beta1_PredictRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.PredictRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.PredictRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.PredictRequest build() { + com.google.cloud.automl.v1beta1.PredictRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.PredictRequest buildPartial() { + com.google.cloud.automl.v1beta1.PredictRequest result = + new com.google.cloud.automl.v1beta1.PredictRequest(this); + int from_bitField0_ = bitField0_; + result.name_ = name_; + if (payloadBuilder_ == null) { + result.payload_ = payload_; + } else { + result.payload_ = payloadBuilder_.build(); + } + result.params_ = internalGetParams(); + result.params_.makeImmutable(); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.PredictRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.PredictRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.PredictRequest other) { + if (other == com.google.cloud.automl.v1beta1.PredictRequest.getDefaultInstance()) return this; + if (!other.getName().isEmpty()) { + name_ = other.name_; + onChanged(); + } + if (other.hasPayload()) { + mergePayload(other.getPayload()); + } + internalGetMutableParams().mergeFrom(other.internalGetParams()); + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.PredictRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.PredictRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private java.lang.Object name_ = ""; + /** + * + * + * 
+     * Required. Name of the model requested to serve the prediction.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. Name of the model requested to serve the prediction.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. Name of the model requested to serve the prediction.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The name to set. + * @return This builder for chaining. + */ + public Builder setName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + name_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Name of the model requested to serve the prediction.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return This builder for chaining. + */ + public Builder clearName() { + + name_ = getDefaultInstance().getName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Name of the model requested to serve the prediction.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The bytes for name to set. + * @return This builder for chaining. + */ + public Builder setNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + name_ = value; + onChanged(); + return this; + } + + private com.google.cloud.automl.v1beta1.ExamplePayload payload_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ExamplePayload, + com.google.cloud.automl.v1beta1.ExamplePayload.Builder, + com.google.cloud.automl.v1beta1.ExamplePayloadOrBuilder> + payloadBuilder_; + /** + * + * + * 
+     * Required. Payload to perform a prediction on. The payload must match the
+     * problem type that the model was trained to solve.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the payload field is set. + */ + public boolean hasPayload() { + return payloadBuilder_ != null || payload_ != null; + } + /** + * + * + * 
+     * Required. Payload to perform a prediction on. The payload must match the
+     * problem type that the model was trained to solve.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The payload. + */ + public com.google.cloud.automl.v1beta1.ExamplePayload getPayload() { + if (payloadBuilder_ == null) { + return payload_ == null + ? com.google.cloud.automl.v1beta1.ExamplePayload.getDefaultInstance() + : payload_; + } else { + return payloadBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Required. Payload to perform a prediction on. The payload must match the
+     * problem type that the model was trained to solve.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder setPayload(com.google.cloud.automl.v1beta1.ExamplePayload value) { + if (payloadBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + payload_ = value; + onChanged(); + } else { + payloadBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Required. Payload to perform a prediction on. The payload must match the
+     * problem type that the model was trained to solve.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder setPayload( + com.google.cloud.automl.v1beta1.ExamplePayload.Builder builderForValue) { + if (payloadBuilder_ == null) { + payload_ = builderForValue.build(); + onChanged(); + } else { + payloadBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Required. Payload to perform a prediction on. The payload must match the
+     * problem type that the model was trained to solve.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder mergePayload(com.google.cloud.automl.v1beta1.ExamplePayload value) { + if (payloadBuilder_ == null) { + if (payload_ != null) { + payload_ = + com.google.cloud.automl.v1beta1.ExamplePayload.newBuilder(payload_) + .mergeFrom(value) + .buildPartial(); + } else { + payload_ = value; + } + onChanged(); + } else { + payloadBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Required. Payload to perform a prediction on. The payload must match the
+     * problem type that the model was trained to solve.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder clearPayload() { + if (payloadBuilder_ == null) { + payload_ = null; + onChanged(); + } else { + payload_ = null; + payloadBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Required. Payload to perform a prediction on. The payload must match the
+     * problem type that the model was trained to solve.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.ExamplePayload.Builder getPayloadBuilder() { + + onChanged(); + return getPayloadFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Required. Payload to perform a prediction on. The payload must match the
+     * problem type that the model was trained to solve.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.ExamplePayloadOrBuilder getPayloadOrBuilder() { + if (payloadBuilder_ != null) { + return payloadBuilder_.getMessageOrBuilder(); + } else { + return payload_ == null + ? com.google.cloud.automl.v1beta1.ExamplePayload.getDefaultInstance() + : payload_; + } + } + /** + * + * + * 
+     * Required. Payload to perform a prediction on. The payload must match the
+     * problem type that the model was trained to solve.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED]; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ExamplePayload, + com.google.cloud.automl.v1beta1.ExamplePayload.Builder, + com.google.cloud.automl.v1beta1.ExamplePayloadOrBuilder> + getPayloadFieldBuilder() { + if (payloadBuilder_ == null) { + payloadBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ExamplePayload, + com.google.cloud.automl.v1beta1.ExamplePayload.Builder, + com.google.cloud.automl.v1beta1.ExamplePayloadOrBuilder>( + getPayload(), getParentForChildren(), isClean()); + payload_ = null; + } + return payloadBuilder_; + } + + private com.google.protobuf.MapField params_; + + private com.google.protobuf.MapField internalGetParams() { + if (params_ == null) { + return com.google.protobuf.MapField.emptyMapField(ParamsDefaultEntryHolder.defaultEntry); + } + return params_; + } + + private com.google.protobuf.MapField + internalGetMutableParams() { + onChanged(); + ; + if (params_ == null) { + params_ = com.google.protobuf.MapField.newMapField(ParamsDefaultEntryHolder.defaultEntry); + } + if (!params_.isMutable()) { + params_ = params_.copy(); + } + return params_; + } + + public int getParamsCount() { + return internalGetParams().getMap().size(); + } + /** + * + * + * 
+     * Additional domain-specific parameters, any string must be up to 25000
+     * characters long.
+     * *  For Image Classification:
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *     makes predictions for an image, it will only produce results that have
+     *     at least this confidence score. The default is 0.5.
+     *  *  For Image Object Detection:
+     *    `score_threshold` - (float) When Model detects objects on the image,
+     *        it will only produce bounding boxes which have at least this
+     *        confidence score. Value in 0 to 1 range, default is 0.5.
+     *    `max_bounding_box_count` - (int64) No more than this number of bounding
+     *        boxes will be returned in the response. Default is 100, the
+     *        requested value may be limited by server.
+     * *  For Tables:
+     *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+     *        should be populated in the returned TablesAnnotation.
+     *        The default is false.
+     *
+ * + * map<string, string> params = 3; + */ + public boolean containsParams(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetParams().getMap().containsKey(key); + } + /** Use {@link #getParamsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map getParams() { + return getParamsMap(); + } + /** + * + * + * 
+     * Additional domain-specific parameters, any string must be up to 25000
+     * characters long.
+     * *  For Image Classification:
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *     makes predictions for an image, it will only produce results that have
+     *     at least this confidence score. The default is 0.5.
+     *  *  For Image Object Detection:
+     *    `score_threshold` - (float) When Model detects objects on the image,
+     *        it will only produce bounding boxes which have at least this
+     *        confidence score. Value in 0 to 1 range, default is 0.5.
+     *    `max_bounding_box_count` - (int64) No more than this number of bounding
+     *        boxes will be returned in the response. Default is 100, the
+     *        requested value may be limited by server.
+     * *  For Tables:
+     *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+     *        should be populated in the returned TablesAnnotation.
+     *        The default is false.
+     *
+ * + * map<string, string> params = 3; + */ + public java.util.Map getParamsMap() { + return internalGetParams().getMap(); + } + /** + * + * + * 
+     * Additional domain-specific parameters, any string must be up to 25000
+     * characters long.
+     * *  For Image Classification:
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *     makes predictions for an image, it will only produce results that have
+     *     at least this confidence score. The default is 0.5.
+     *  *  For Image Object Detection:
+     *    `score_threshold` - (float) When Model detects objects on the image,
+     *        it will only produce bounding boxes which have at least this
+     *        confidence score. Value in 0 to 1 range, default is 0.5.
+     *    `max_bounding_box_count` - (int64) No more than this number of bounding
+     *        boxes will be returned in the response. Default is 100, the
+     *        requested value may be limited by server.
+     * *  For Tables:
+     *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+     *        should be populated in the returned TablesAnnotation.
+     *        The default is false.
+     *
+ * + * map<string, string> params = 3; + */ + public java.lang.String getParamsOrDefault( + java.lang.String key, java.lang.String defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = internalGetParams().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+     * Additional domain-specific parameters, any string must be up to 25000
+     * characters long.
+     * *  For Image Classification:
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *     makes predictions for an image, it will only produce results that have
+     *     at least this confidence score. The default is 0.5.
+     *  *  For Image Object Detection:
+     *    `score_threshold` - (float) When Model detects objects on the image,
+     *        it will only produce bounding boxes which have at least this
+     *        confidence score. Value in 0 to 1 range, default is 0.5.
+     *    `max_bounding_box_count` - (int64) No more than this number of bounding
+     *        boxes will be returned in the response. Default is 100, the
+     *        requested value may be limited by server.
+     * *  For Tables:
+     *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+     *        should be populated in the returned TablesAnnotation.
+     *        The default is false.
+     *
+ * + * map<string, string> params = 3; + */ + public java.lang.String getParamsOrThrow(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = internalGetParams().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + public Builder clearParams() { + internalGetMutableParams().getMutableMap().clear(); + return this; + } + /** + * + * + * 
+     * Additional domain-specific parameters, any string must be up to 25000
+     * characters long.
+     * *  For Image Classification:
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *     makes predictions for an image, it will only produce results that have
+     *     at least this confidence score. The default is 0.5.
+     *  *  For Image Object Detection:
+     *    `score_threshold` - (float) When Model detects objects on the image,
+     *        it will only produce bounding boxes which have at least this
+     *        confidence score. Value in 0 to 1 range, default is 0.5.
+     *    `max_bounding_box_count` - (int64) No more than this number of bounding
+     *        boxes will be returned in the response. Default is 100, the
+     *        requested value may be limited by server.
+     * *  For Tables:
+     *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+     *        should be populated in the returned TablesAnnotation.
+     *        The default is false.
+     *
+ * + * map<string, string> params = 3; + */ + public Builder removeParams(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableParams().getMutableMap().remove(key); + return this; + } + /** Use alternate mutation accessors instead. */ + @java.lang.Deprecated + public java.util.Map getMutableParams() { + return internalGetMutableParams().getMutableMap(); + } + /** + * + * + * 
+     * Additional domain-specific parameters, any string must be up to 25000
+     * characters long.
+     * *  For Image Classification:
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *     makes predictions for an image, it will only produce results that have
+     *     at least this confidence score. The default is 0.5.
+     *  *  For Image Object Detection:
+     *    `score_threshold` - (float) When Model detects objects on the image,
+     *        it will only produce bounding boxes which have at least this
+     *        confidence score. Value in 0 to 1 range, default is 0.5.
+     *    `max_bounding_box_count` - (int64) No more than this number of bounding
+     *        boxes will be returned in the response. Default is 100, the
+     *        requested value may be limited by server.
+     * *  For Tables:
+     *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+     *        should be populated in the returned TablesAnnotation.
+     *        The default is false.
+     *
+ * + * map<string, string> params = 3; + */ + public Builder putParams(java.lang.String key, java.lang.String value) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + if (value == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableParams().getMutableMap().put(key, value); + return this; + } + /** + * + * + * 
+     * Additional domain-specific parameters, any string must be up to 25000
+     * characters long.
+     * *  For Image Classification:
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *     makes predictions for an image, it will only produce results that have
+     *     at least this confidence score. The default is 0.5.
+     *  *  For Image Object Detection:
+     *    `score_threshold` - (float) When Model detects objects on the image,
+     *        it will only produce bounding boxes which have at least this
+     *        confidence score. Value in 0 to 1 range, default is 0.5.
+     *    `max_bounding_box_count` - (int64) No more than this number of bounding
+     *        boxes will be returned in the response. Default is 100, the
+     *        requested value may be limited by server.
+     * *  For Tables:
+     *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+     *        should be populated in the returned TablesAnnotation.
+     *        The default is false.
+     *
+ * + * map<string, string> params = 3; + */ + public Builder putAllParams(java.util.Map values) { + internalGetMutableParams().getMutableMap().putAll(values); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.PredictRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.PredictRequest) + private static final com.google.cloud.automl.v1beta1.PredictRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.PredictRequest(); + } + + public static com.google.cloud.automl.v1beta1.PredictRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public PredictRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new PredictRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.PredictRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictRequestOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictRequestOrBuilder.java new file mode 100644 index 000000000..f1641e9d1 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictRequestOrBuilder.java @@ -0,0 +1,232 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/prediction_service.proto + +package com.google.cloud.automl.v1beta1; + +public interface PredictRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.PredictRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. Name of the model requested to serve the prediction.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + java.lang.String getName(); + /** + * + * + * 
+   * Required. Name of the model requested to serve the prediction.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + com.google.protobuf.ByteString getNameBytes(); + + /** + * + * + * 
+   * Required. Payload to perform a prediction on. The payload must match the
+   * problem type that the model was trained to solve.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the payload field is set. + */ + boolean hasPayload(); + /** + * + * + * 
+   * Required. Payload to perform a prediction on. The payload must match the
+   * problem type that the model was trained to solve.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The payload. + */ + com.google.cloud.automl.v1beta1.ExamplePayload getPayload(); + /** + * + * + * 
+   * Required. Payload to perform a prediction on. The payload must match the
+   * problem type that the model was trained to solve.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED]; + * + */ + com.google.cloud.automl.v1beta1.ExamplePayloadOrBuilder getPayloadOrBuilder(); + + /** + * + * + * 
+   * Additional domain-specific parameters, any string must be up to 25000
+   * characters long.
+   * *  For Image Classification:
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *     makes predictions for an image, it will only produce results that have
+   *     at least this confidence score. The default is 0.5.
+   *  *  For Image Object Detection:
+   *    `score_threshold` - (float) When Model detects objects on the image,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be returned in the response. Default is 100, the
+   *        requested value may be limited by server.
+   * *  For Tables:
+   *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+   *        should be populated in the returned TablesAnnotation.
+   *        The default is false.
+   *
+ * + * map<string, string> params = 3; + */ + int getParamsCount(); + /** + * + * + * 
+   * Additional domain-specific parameters, any string must be up to 25000
+   * characters long.
+   * *  For Image Classification:
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *     makes predictions for an image, it will only produce results that have
+   *     at least this confidence score. The default is 0.5.
+   *  *  For Image Object Detection:
+   *    `score_threshold` - (float) When Model detects objects on the image,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be returned in the response. Default is 100, the
+   *        requested value may be limited by server.
+   * *  For Tables:
+   *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+   *        should be populated in the returned TablesAnnotation.
+   *        The default is false.
+   *
+ * + * map<string, string> params = 3; + */ + boolean containsParams(java.lang.String key); + /** Use {@link #getParamsMap()} instead. */ + @java.lang.Deprecated + java.util.Map getParams(); + /** + * + * + * 
+   * Additional domain-specific parameters, any string must be up to 25000
+   * characters long.
+   * *  For Image Classification:
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *     makes predictions for an image, it will only produce results that have
+   *     at least this confidence score. The default is 0.5.
+   *  *  For Image Object Detection:
+   *    `score_threshold` - (float) When Model detects objects on the image,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be returned in the response. Default is 100, the
+   *        requested value may be limited by server.
+   * *  For Tables:
+   *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+   *        should be populated in the returned TablesAnnotation.
+   *        The default is false.
+   *
+ * + * map<string, string> params = 3; + */ + java.util.Map getParamsMap(); + /** + * + * + * 
+   * Additional domain-specific parameters, any string must be up to 25000
+   * characters long.
+   * *  For Image Classification:
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *     makes predictions for an image, it will only produce results that have
+   *     at least this confidence score. The default is 0.5.
+   *  *  For Image Object Detection:
+   *    `score_threshold` - (float) When Model detects objects on the image,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be returned in the response. Default is 100, the
+   *        requested value may be limited by server.
+   * *  For Tables:
+   *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+   *        should be populated in the returned TablesAnnotation.
+   *        The default is false.
+   *
+ * + * map<string, string> params = 3; + */ + java.lang.String getParamsOrDefault(java.lang.String key, java.lang.String defaultValue); + /** + * + * + * 
+   * Additional domain-specific parameters, any string must be up to 25000
+   * characters long.
+   * *  For Image Classification:
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *     makes predictions for an image, it will only produce results that have
+   *     at least this confidence score. The default is 0.5.
+   *  *  For Image Object Detection:
+   *    `score_threshold` - (float) When Model detects objects on the image,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be returned in the response. Default is 100, the
+   *        requested value may be limited by server.
+   * *  For Tables:
+   *    feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
+   *        should be populated in the returned TablesAnnotation.
+   *        The default is false.
+   *
+ * + * map<string, string> params = 3; + */ + java.lang.String getParamsOrThrow(java.lang.String key); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictResponse.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictResponse.java new file mode 100644 index 000000000..c568dc9b0 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictResponse.java @@ -0,0 +1,1741 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/prediction_service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Response message for [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.PredictResponse} + */ +public final class PredictResponse extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.PredictResponse) + PredictResponseOrBuilder { + private static final long serialVersionUID = 0L; + // Use PredictResponse.newBuilder() to construct. + private PredictResponse(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private PredictResponse() { + payload_ = java.util.Collections.emptyList(); + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new PredictResponse(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private PredictResponse( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + payload_ = + new java.util.ArrayList(); + mutable_bitField0_ |= 0x00000001; + } + payload_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.AnnotationPayload.parser(), + extensionRegistry)); + break; + } + case 18: + { + if (!((mutable_bitField0_ & 0x00000002) != 0)) { + metadata_ = + com.google.protobuf.MapField.newMapField( + MetadataDefaultEntryHolder.defaultEntry); + mutable_bitField0_ |= 0x00000002; + } + com.google.protobuf.MapEntry metadata__ = + input.readMessage( + MetadataDefaultEntryHolder.defaultEntry.getParserForType(), + extensionRegistry); + metadata_.getMutableMap().put(metadata__.getKey(), metadata__.getValue()); + break; + } + case 26: + { + com.google.cloud.automl.v1beta1.ExamplePayload.Builder subBuilder = null; + if (preprocessedInput_ != null) { + subBuilder = preprocessedInput_.toBuilder(); + } + preprocessedInput_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ExamplePayload.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(preprocessedInput_); + preprocessedInput_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + payload_ = java.util.Collections.unmodifiableList(payload_); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.PredictionServiceProto + .internal_static_google_cloud_automl_v1beta1_PredictResponse_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + @java.lang.Override + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 2: + return internalGetMetadata(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.PredictionServiceProto + .internal_static_google_cloud_automl_v1beta1_PredictResponse_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.PredictResponse.class, + com.google.cloud.automl.v1beta1.PredictResponse.Builder.class); + } + + public static final int PAYLOAD_FIELD_NUMBER = 1; + private java.util.List payload_; + /** + * + * + * 
+   * Prediction result.
+   * Translation and Text Sentiment will return precisely one payload.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + public java.util.List getPayloadList() { + return payload_; + } + /** + * + * + * 
+   * Prediction result.
+   * Translation and Text Sentiment will return precisely one payload.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + public java.util.List + getPayloadOrBuilderList() { + return payload_; + } + /** + * + * + * 
+   * Prediction result.
+   * Translation and Text Sentiment will return precisely one payload.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + public int getPayloadCount() { + return payload_.size(); + } + /** + * + * + * 
+   * Prediction result.
+   * Translation and Text Sentiment will return precisely one payload.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + public com.google.cloud.automl.v1beta1.AnnotationPayload getPayload(int index) { + return payload_.get(index); + } + /** + * + * + * 
+   * Prediction result.
+   * Translation and Text Sentiment will return precisely one payload.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + public com.google.cloud.automl.v1beta1.AnnotationPayloadOrBuilder getPayloadOrBuilder(int index) { + return payload_.get(index); + } + + public static final int PREPROCESSED_INPUT_FIELD_NUMBER = 3; + private com.google.cloud.automl.v1beta1.ExamplePayload preprocessedInput_; + /** + * + * + * 
+   * The preprocessed example that AutoML actually makes prediction on.
+   * Empty if AutoML does not preprocess the input example.
+   * * For Text Extraction:
+   *   If the input is a .pdf file, the OCR'ed text will be provided in
+   *   [document_text][google.cloud.automl.v1beta1.Document.document_text].
+   *
+ * + * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3; + * + * @return Whether the preprocessedInput field is set. + */ + public boolean hasPreprocessedInput() { + return preprocessedInput_ != null; + } + /** + * + * + * 
+   * The preprocessed example that AutoML actually makes prediction on.
+   * Empty if AutoML does not preprocess the input example.
+   * * For Text Extraction:
+   *   If the input is a .pdf file, the OCR'ed text will be provided in
+   *   [document_text][google.cloud.automl.v1beta1.Document.document_text].
+   *
+ * + * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3; + * + * @return The preprocessedInput. + */ + public com.google.cloud.automl.v1beta1.ExamplePayload getPreprocessedInput() { + return preprocessedInput_ == null + ? com.google.cloud.automl.v1beta1.ExamplePayload.getDefaultInstance() + : preprocessedInput_; + } + /** + * + * + * 
+   * The preprocessed example that AutoML actually makes prediction on.
+   * Empty if AutoML does not preprocess the input example.
+   * * For Text Extraction:
+   *   If the input is a .pdf file, the OCR'ed text will be provided in
+   *   [document_text][google.cloud.automl.v1beta1.Document.document_text].
+   *
+ * + * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3; + */ + public com.google.cloud.automl.v1beta1.ExamplePayloadOrBuilder getPreprocessedInputOrBuilder() { + return getPreprocessedInput(); + } + + public static final int METADATA_FIELD_NUMBER = 2; + + private static final class MetadataDefaultEntryHolder { + static final com.google.protobuf.MapEntry defaultEntry = + com.google.protobuf.MapEntry.newDefaultInstance( + com.google.cloud.automl.v1beta1.PredictionServiceProto + .internal_static_google_cloud_automl_v1beta1_PredictResponse_MetadataEntry_descriptor, + com.google.protobuf.WireFormat.FieldType.STRING, + "", + com.google.protobuf.WireFormat.FieldType.STRING, + ""); + } + + private com.google.protobuf.MapField metadata_; + + private com.google.protobuf.MapField internalGetMetadata() { + if (metadata_ == null) { + return com.google.protobuf.MapField.emptyMapField(MetadataDefaultEntryHolder.defaultEntry); + } + return metadata_; + } + + public int getMetadataCount() { + return internalGetMetadata().getMap().size(); + } + /** + * + * + * 
+   * Additional domain-specific prediction response metadata.
+   * * For Image Object Detection:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      image could have been returned.
+   * * For Text Sentiment:
+   *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+   *      -1 maps to least positive sentiment, while 1 maps to the most positive
+   *      one and the higher the score, the more positive the sentiment in the
+   *      document is. Yet these values are relative to the training data, so
+   *      e.g. if all data was positive then -1 will be also positive (though
+   *      the least).
+   *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+   *      from the previous Natural Language Sentiment Analysis API.
+   *
+ * + * map<string, string> metadata = 2; + */ + public boolean containsMetadata(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetMetadata().getMap().containsKey(key); + } + /** Use {@link #getMetadataMap()} instead. */ + @java.lang.Deprecated + public java.util.Map getMetadata() { + return getMetadataMap(); + } + /** + * + * + * 
+   * Additional domain-specific prediction response metadata.
+   * * For Image Object Detection:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      image could have been returned.
+   * * For Text Sentiment:
+   *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+   *      -1 maps to least positive sentiment, while 1 maps to the most positive
+   *      one and the higher the score, the more positive the sentiment in the
+   *      document is. Yet these values are relative to the training data, so
+   *      e.g. if all data was positive then -1 will be also positive (though
+   *      the least).
+   *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+   *      from the previous Natural Language Sentiment Analysis API.
+   *
+ * + * map<string, string> metadata = 2; + */ + public java.util.Map getMetadataMap() { + return internalGetMetadata().getMap(); + } + /** + * + * + * 
+   * Additional domain-specific prediction response metadata.
+   * * For Image Object Detection:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      image could have been returned.
+   * * For Text Sentiment:
+   *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+   *      -1 maps to least positive sentiment, while 1 maps to the most positive
+   *      one and the higher the score, the more positive the sentiment in the
+   *      document is. Yet these values are relative to the training data, so
+   *      e.g. if all data was positive then -1 will be also positive (though
+   *      the least).
+   *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+   *      from the previous Natural Language Sentiment Analysis API.
+   *
+ * + * map<string, string> metadata = 2; + */ + public java.lang.String getMetadataOrDefault( + java.lang.String key, java.lang.String defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = internalGetMetadata().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+   * Additional domain-specific prediction response metadata.
+   * * For Image Object Detection:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      image could have been returned.
+   * * For Text Sentiment:
+   *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+   *      -1 maps to least positive sentiment, while 1 maps to the most positive
+   *      one and the higher the score, the more positive the sentiment in the
+   *      document is. Yet these values are relative to the training data, so
+   *      e.g. if all data was positive then -1 will be also positive (though
+   *      the least).
+   *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+   *      from the previous Natural Language Sentiment Analysis API.
+   *
+ * + * map<string, string> metadata = 2; + */ + public java.lang.String getMetadataOrThrow(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = internalGetMetadata().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + for (int i = 0; i < payload_.size(); i++) { + output.writeMessage(1, payload_.get(i)); + } + com.google.protobuf.GeneratedMessageV3.serializeStringMapTo( + output, internalGetMetadata(), MetadataDefaultEntryHolder.defaultEntry, 2); + if (preprocessedInput_ != null) { + output.writeMessage(3, getPreprocessedInput()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + for (int i = 0; i < payload_.size(); i++) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, payload_.get(i)); + } + for (java.util.Map.Entry entry : + internalGetMetadata().getMap().entrySet()) { + com.google.protobuf.MapEntry metadata__ = + MetadataDefaultEntryHolder.defaultEntry + .newBuilderForType() + .setKey(entry.getKey()) + .setValue(entry.getValue()) + .build(); + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, metadata__); + } + if (preprocessedInput_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, getPreprocessedInput()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.PredictResponse)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.PredictResponse other = + (com.google.cloud.automl.v1beta1.PredictResponse) obj; + + if (!getPayloadList().equals(other.getPayloadList())) return false; + if (hasPreprocessedInput() != other.hasPreprocessedInput()) return false; + if (hasPreprocessedInput()) { + if (!getPreprocessedInput().equals(other.getPreprocessedInput())) return false; + } + if (!internalGetMetadata().equals(other.internalGetMetadata())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (getPayloadCount() > 0) { + hash = (37 * hash) + PAYLOAD_FIELD_NUMBER; + hash = (53 * hash) + getPayloadList().hashCode(); + } + if (hasPreprocessedInput()) { + hash = (37 * hash) + PREPROCESSED_INPUT_FIELD_NUMBER; + hash = (53 * hash) + getPreprocessedInput().hashCode(); + } + if (!internalGetMetadata().getMap().isEmpty()) { + hash = (37 * hash) + METADATA_FIELD_NUMBER; + hash = (53 * hash) + internalGetMetadata().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.PredictResponse parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.PredictResponse parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.PredictResponse parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.PredictResponse parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.PredictResponse parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.PredictResponse parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.PredictResponse parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.PredictResponse parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.PredictResponse parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.PredictResponse parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.PredictResponse parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.PredictResponse parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.PredictResponse prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Response message for [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.PredictResponse} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.PredictResponse) + com.google.cloud.automl.v1beta1.PredictResponseOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.PredictionServiceProto + .internal_static_google_cloud_automl_v1beta1_PredictResponse_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 2: + return internalGetMetadata(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMutableMapField(int number) { + switch (number) { + case 2: + return internalGetMutableMetadata(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.PredictionServiceProto + .internal_static_google_cloud_automl_v1beta1_PredictResponse_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.PredictResponse.class, + com.google.cloud.automl.v1beta1.PredictResponse.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.PredictResponse.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getPayloadFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (payloadBuilder_ == null) { + payload_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + } else { + payloadBuilder_.clear(); + } + if (preprocessedInputBuilder_ == null) { + preprocessedInput_ = null; + } else { + preprocessedInput_ = null; + preprocessedInputBuilder_ = null; + } + internalGetMutableMetadata().clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.PredictionServiceProto + .internal_static_google_cloud_automl_v1beta1_PredictResponse_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.PredictResponse getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.PredictResponse.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.PredictResponse build() { + com.google.cloud.automl.v1beta1.PredictResponse result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.PredictResponse buildPartial() { + com.google.cloud.automl.v1beta1.PredictResponse result = + new com.google.cloud.automl.v1beta1.PredictResponse(this); + int from_bitField0_ = bitField0_; + if (payloadBuilder_ == null) { + if (((bitField0_ & 0x00000001) != 0)) { + payload_ = java.util.Collections.unmodifiableList(payload_); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.payload_ = payload_; + } else { + result.payload_ = payloadBuilder_.build(); + } + if (preprocessedInputBuilder_ == null) { + result.preprocessedInput_ = preprocessedInput_; + } else { + result.preprocessedInput_ = preprocessedInputBuilder_.build(); + } + result.metadata_ = internalGetMetadata(); + result.metadata_.makeImmutable(); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.PredictResponse) { + return mergeFrom((com.google.cloud.automl.v1beta1.PredictResponse) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.PredictResponse other) { + if (other == com.google.cloud.automl.v1beta1.PredictResponse.getDefaultInstance()) + return this; + if (payloadBuilder_ == null) { + if (!other.payload_.isEmpty()) { + if (payload_.isEmpty()) { + payload_ = other.payload_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensurePayloadIsMutable(); + payload_.addAll(other.payload_); + } + onChanged(); + } + } else { + if (!other.payload_.isEmpty()) { + if (payloadBuilder_.isEmpty()) { + payloadBuilder_.dispose(); + payloadBuilder_ = null; + payload_ = other.payload_; + bitField0_ = (bitField0_ & ~0x00000001); + payloadBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getPayloadFieldBuilder() + : null; + } else { + payloadBuilder_.addAllMessages(other.payload_); + } + } + } + if (other.hasPreprocessedInput()) { + mergePreprocessedInput(other.getPreprocessedInput()); + } + internalGetMutableMetadata().mergeFrom(other.internalGetMetadata()); + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.PredictResponse parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.PredictResponse) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private java.util.List payload_ = + java.util.Collections.emptyList(); + + private void ensurePayloadIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + payload_ = + new java.util.ArrayList(payload_); + bitField0_ |= 0x00000001; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.AnnotationPayload, + com.google.cloud.automl.v1beta1.AnnotationPayload.Builder, + com.google.cloud.automl.v1beta1.AnnotationPayloadOrBuilder> + payloadBuilder_; + + /** + * + * + * 
+     * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + public java.util.List getPayloadList() { + if (payloadBuilder_ == null) { + return java.util.Collections.unmodifiableList(payload_); + } else { + return payloadBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + public int getPayloadCount() { + if (payloadBuilder_ == null) { + return payload_.size(); + } else { + return payloadBuilder_.getCount(); + } + } + /** + * + * + * 
+     * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + public com.google.cloud.automl.v1beta1.AnnotationPayload getPayload(int index) { + if (payloadBuilder_ == null) { + return payload_.get(index); + } else { + return payloadBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + public Builder setPayload(int index, com.google.cloud.automl.v1beta1.AnnotationPayload value) { + if (payloadBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensurePayloadIsMutable(); + payload_.set(index, value); + onChanged(); + } else { + payloadBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + public Builder setPayload( + int index, com.google.cloud.automl.v1beta1.AnnotationPayload.Builder builderForValue) { + if (payloadBuilder_ == null) { + ensurePayloadIsMutable(); + payload_.set(index, builderForValue.build()); + onChanged(); + } else { + payloadBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + public Builder addPayload(com.google.cloud.automl.v1beta1.AnnotationPayload value) { + if (payloadBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensurePayloadIsMutable(); + payload_.add(value); + onChanged(); + } else { + payloadBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + public Builder addPayload(int index, com.google.cloud.automl.v1beta1.AnnotationPayload value) { + if (payloadBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensurePayloadIsMutable(); + payload_.add(index, value); + onChanged(); + } else { + payloadBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + public Builder addPayload( + com.google.cloud.automl.v1beta1.AnnotationPayload.Builder builderForValue) { + if (payloadBuilder_ == null) { + ensurePayloadIsMutable(); + payload_.add(builderForValue.build()); + onChanged(); + } else { + payloadBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + public Builder addPayload( + int index, com.google.cloud.automl.v1beta1.AnnotationPayload.Builder builderForValue) { + if (payloadBuilder_ == null) { + ensurePayloadIsMutable(); + payload_.add(index, builderForValue.build()); + onChanged(); + } else { + payloadBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + public Builder addAllPayload( + java.lang.Iterable values) { + if (payloadBuilder_ == null) { + ensurePayloadIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, payload_); + onChanged(); + } else { + payloadBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + public Builder clearPayload() { + if (payloadBuilder_ == null) { + payload_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + } else { + payloadBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + public Builder removePayload(int index) { + if (payloadBuilder_ == null) { + ensurePayloadIsMutable(); + payload_.remove(index); + onChanged(); + } else { + payloadBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + public com.google.cloud.automl.v1beta1.AnnotationPayload.Builder getPayloadBuilder(int index) { + return getPayloadFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + public com.google.cloud.automl.v1beta1.AnnotationPayloadOrBuilder getPayloadOrBuilder( + int index) { + if (payloadBuilder_ == null) { + return payload_.get(index); + } else { + return payloadBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + public java.util.List + getPayloadOrBuilderList() { + if (payloadBuilder_ != null) { + return payloadBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(payload_); + } + } + /** + * + * + * 
+     * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + public com.google.cloud.automl.v1beta1.AnnotationPayload.Builder addPayloadBuilder() { + return getPayloadFieldBuilder() + .addBuilder(com.google.cloud.automl.v1beta1.AnnotationPayload.getDefaultInstance()); + } + /** + * + * + * 
+     * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + public com.google.cloud.automl.v1beta1.AnnotationPayload.Builder addPayloadBuilder(int index) { + return getPayloadFieldBuilder() + .addBuilder( + index, com.google.cloud.automl.v1beta1.AnnotationPayload.getDefaultInstance()); + } + /** + * + * + * 
+     * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + public java.util.List + getPayloadBuilderList() { + return getPayloadFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.AnnotationPayload, + com.google.cloud.automl.v1beta1.AnnotationPayload.Builder, + com.google.cloud.automl.v1beta1.AnnotationPayloadOrBuilder> + getPayloadFieldBuilder() { + if (payloadBuilder_ == null) { + payloadBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.AnnotationPayload, + com.google.cloud.automl.v1beta1.AnnotationPayload.Builder, + com.google.cloud.automl.v1beta1.AnnotationPayloadOrBuilder>( + payload_, ((bitField0_ & 0x00000001) != 0), getParentForChildren(), isClean()); + payload_ = null; + } + return payloadBuilder_; + } + + private com.google.cloud.automl.v1beta1.ExamplePayload preprocessedInput_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ExamplePayload, + com.google.cloud.automl.v1beta1.ExamplePayload.Builder, + com.google.cloud.automl.v1beta1.ExamplePayloadOrBuilder> + preprocessedInputBuilder_; + /** + * + * + * 
+     * The preprocessed example that AutoML actually makes prediction on.
+     * Empty if AutoML does not preprocess the input example.
+     * * For Text Extraction:
+     *   If the input is a .pdf file, the OCR'ed text will be provided in
+     *   [document_text][google.cloud.automl.v1beta1.Document.document_text].
+     *
+ * + * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3; + * + * @return Whether the preprocessedInput field is set. + */ + public boolean hasPreprocessedInput() { + return preprocessedInputBuilder_ != null || preprocessedInput_ != null; + } + /** + * + * + * 
+     * The preprocessed example that AutoML actually makes prediction on.
+     * Empty if AutoML does not preprocess the input example.
+     * * For Text Extraction:
+     *   If the input is a .pdf file, the OCR'ed text will be provided in
+     *   [document_text][google.cloud.automl.v1beta1.Document.document_text].
+     *
+ * + * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3; + * + * @return The preprocessedInput. + */ + public com.google.cloud.automl.v1beta1.ExamplePayload getPreprocessedInput() { + if (preprocessedInputBuilder_ == null) { + return preprocessedInput_ == null + ? com.google.cloud.automl.v1beta1.ExamplePayload.getDefaultInstance() + : preprocessedInput_; + } else { + return preprocessedInputBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * The preprocessed example that AutoML actually makes prediction on.
+     * Empty if AutoML does not preprocess the input example.
+     * * For Text Extraction:
+     *   If the input is a .pdf file, the OCR'ed text will be provided in
+     *   [document_text][google.cloud.automl.v1beta1.Document.document_text].
+     *
+ * + * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3; + */ + public Builder setPreprocessedInput(com.google.cloud.automl.v1beta1.ExamplePayload value) { + if (preprocessedInputBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + preprocessedInput_ = value; + onChanged(); + } else { + preprocessedInputBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * The preprocessed example that AutoML actually makes prediction on.
+     * Empty if AutoML does not preprocess the input example.
+     * * For Text Extraction:
+     *   If the input is a .pdf file, the OCR'ed text will be provided in
+     *   [document_text][google.cloud.automl.v1beta1.Document.document_text].
+     *
+ * + * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3; + */ + public Builder setPreprocessedInput( + com.google.cloud.automl.v1beta1.ExamplePayload.Builder builderForValue) { + if (preprocessedInputBuilder_ == null) { + preprocessedInput_ = builderForValue.build(); + onChanged(); + } else { + preprocessedInputBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * The preprocessed example that AutoML actually makes prediction on.
+     * Empty if AutoML does not preprocess the input example.
+     * * For Text Extraction:
+     *   If the input is a .pdf file, the OCR'ed text will be provided in
+     *   [document_text][google.cloud.automl.v1beta1.Document.document_text].
+     *
+ * + * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3; + */ + public Builder mergePreprocessedInput(com.google.cloud.automl.v1beta1.ExamplePayload value) { + if (preprocessedInputBuilder_ == null) { + if (preprocessedInput_ != null) { + preprocessedInput_ = + com.google.cloud.automl.v1beta1.ExamplePayload.newBuilder(preprocessedInput_) + .mergeFrom(value) + .buildPartial(); + } else { + preprocessedInput_ = value; + } + onChanged(); + } else { + preprocessedInputBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * The preprocessed example that AutoML actually makes prediction on.
+     * Empty if AutoML does not preprocess the input example.
+     * * For Text Extraction:
+     *   If the input is a .pdf file, the OCR'ed text will be provided in
+     *   [document_text][google.cloud.automl.v1beta1.Document.document_text].
+     *
+ * + * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3; + */ + public Builder clearPreprocessedInput() { + if (preprocessedInputBuilder_ == null) { + preprocessedInput_ = null; + onChanged(); + } else { + preprocessedInput_ = null; + preprocessedInputBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * The preprocessed example that AutoML actually makes prediction on.
+     * Empty if AutoML does not preprocess the input example.
+     * * For Text Extraction:
+     *   If the input is a .pdf file, the OCR'ed text will be provided in
+     *   [document_text][google.cloud.automl.v1beta1.Document.document_text].
+     *
+ * + * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3; + */ + public com.google.cloud.automl.v1beta1.ExamplePayload.Builder getPreprocessedInputBuilder() { + + onChanged(); + return getPreprocessedInputFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The preprocessed example that AutoML actually makes prediction on.
+     * Empty if AutoML does not preprocess the input example.
+     * * For Text Extraction:
+     *   If the input is a .pdf file, the OCR'ed text will be provided in
+     *   [document_text][google.cloud.automl.v1beta1.Document.document_text].
+     *
+ * + * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3; + */ + public com.google.cloud.automl.v1beta1.ExamplePayloadOrBuilder getPreprocessedInputOrBuilder() { + if (preprocessedInputBuilder_ != null) { + return preprocessedInputBuilder_.getMessageOrBuilder(); + } else { + return preprocessedInput_ == null + ? com.google.cloud.automl.v1beta1.ExamplePayload.getDefaultInstance() + : preprocessedInput_; + } + } + /** + * + * + * 
+     * The preprocessed example that AutoML actually makes prediction on.
+     * Empty if AutoML does not preprocess the input example.
+     * * For Text Extraction:
+     *   If the input is a .pdf file, the OCR'ed text will be provided in
+     *   [document_text][google.cloud.automl.v1beta1.Document.document_text].
+     *
+ * + * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ExamplePayload, + com.google.cloud.automl.v1beta1.ExamplePayload.Builder, + com.google.cloud.automl.v1beta1.ExamplePayloadOrBuilder> + getPreprocessedInputFieldBuilder() { + if (preprocessedInputBuilder_ == null) { + preprocessedInputBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ExamplePayload, + com.google.cloud.automl.v1beta1.ExamplePayload.Builder, + com.google.cloud.automl.v1beta1.ExamplePayloadOrBuilder>( + getPreprocessedInput(), getParentForChildren(), isClean()); + preprocessedInput_ = null; + } + return preprocessedInputBuilder_; + } + + private com.google.protobuf.MapField metadata_; + + private com.google.protobuf.MapField internalGetMetadata() { + if (metadata_ == null) { + return com.google.protobuf.MapField.emptyMapField(MetadataDefaultEntryHolder.defaultEntry); + } + return metadata_; + } + + private com.google.protobuf.MapField + internalGetMutableMetadata() { + onChanged(); + ; + if (metadata_ == null) { + metadata_ = + com.google.protobuf.MapField.newMapField(MetadataDefaultEntryHolder.defaultEntry); + } + if (!metadata_.isMutable()) { + metadata_ = metadata_.copy(); + } + return metadata_; + } + + public int getMetadataCount() { + return internalGetMetadata().getMap().size(); + } + /** + * + * + * 
+     * Additional domain-specific prediction response metadata.
+     * * For Image Object Detection:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      image could have been returned.
+     * * For Text Sentiment:
+     *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+     *      -1 maps to least positive sentiment, while 1 maps to the most positive
+     *      one and the higher the score, the more positive the sentiment in the
+     *      document is. Yet these values are relative to the training data, so
+     *      e.g. if all data was positive then -1 will be also positive (though
+     *      the least).
+     *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+     *      from the previous Natural Language Sentiment Analysis API.
+     *
+ * + * map<string, string> metadata = 2; + */ + public boolean containsMetadata(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetMetadata().getMap().containsKey(key); + } + /** Use {@link #getMetadataMap()} instead. */ + @java.lang.Deprecated + public java.util.Map getMetadata() { + return getMetadataMap(); + } + /** + * + * + * 
+     * Additional domain-specific prediction response metadata.
+     * * For Image Object Detection:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      image could have been returned.
+     * * For Text Sentiment:
+     *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+     *      -1 maps to least positive sentiment, while 1 maps to the most positive
+     *      one and the higher the score, the more positive the sentiment in the
+     *      document is. Yet these values are relative to the training data, so
+     *      e.g. if all data was positive then -1 will be also positive (though
+     *      the least).
+     *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+     *      from the previous Natural Language Sentiment Analysis API.
+     *
+ * + * map<string, string> metadata = 2; + */ + public java.util.Map getMetadataMap() { + return internalGetMetadata().getMap(); + } + /** + * + * + * 
+     * Additional domain-specific prediction response metadata.
+     * * For Image Object Detection:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      image could have been returned.
+     * * For Text Sentiment:
+     *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+     *      -1 maps to least positive sentiment, while 1 maps to the most positive
+     *      one and the higher the score, the more positive the sentiment in the
+     *      document is. Yet these values are relative to the training data, so
+     *      e.g. if all data was positive then -1 will be also positive (though
+     *      the least).
+     *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+     *      from the previous Natural Language Sentiment Analysis API.
+     *
+ * + * map<string, string> metadata = 2; + */ + public java.lang.String getMetadataOrDefault( + java.lang.String key, java.lang.String defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = internalGetMetadata().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+     * Additional domain-specific prediction response metadata.
+     * * For Image Object Detection:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      image could have been returned.
+     * * For Text Sentiment:
+     *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+     *      -1 maps to least positive sentiment, while 1 maps to the most positive
+     *      one and the higher the score, the more positive the sentiment in the
+     *      document is. Yet these values are relative to the training data, so
+     *      e.g. if all data was positive then -1 will be also positive (though
+     *      the least).
+     *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+     *      from the previous Natural Language Sentiment Analysis API.
+     *
+ * + * map<string, string> metadata = 2; + */ + public java.lang.String getMetadataOrThrow(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = internalGetMetadata().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + public Builder clearMetadata() { + internalGetMutableMetadata().getMutableMap().clear(); + return this; + } + /** + * + * + * 
+     * Additional domain-specific prediction response metadata.
+     * * For Image Object Detection:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      image could have been returned.
+     * * For Text Sentiment:
+     *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+     *      -1 maps to least positive sentiment, while 1 maps to the most positive
+     *      one and the higher the score, the more positive the sentiment in the
+     *      document is. Yet these values are relative to the training data, so
+     *      e.g. if all data was positive then -1 will be also positive (though
+     *      the least).
+     *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+     *      from the previous Natural Language Sentiment Analysis API.
+     *
+ * + * map<string, string> metadata = 2; + */ + public Builder removeMetadata(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableMetadata().getMutableMap().remove(key); + return this; + } + /** Use alternate mutation accessors instead. */ + @java.lang.Deprecated + public java.util.Map getMutableMetadata() { + return internalGetMutableMetadata().getMutableMap(); + } + /** + * + * + * 
+     * Additional domain-specific prediction response metadata.
+     * * For Image Object Detection:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      image could have been returned.
+     * * For Text Sentiment:
+     *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+     *      -1 maps to least positive sentiment, while 1 maps to the most positive
+     *      one and the higher the score, the more positive the sentiment in the
+     *      document is. Yet these values are relative to the training data, so
+     *      e.g. if all data was positive then -1 will be also positive (though
+     *      the least).
+     *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+     *      from the previous Natural Language Sentiment Analysis API.
+     *
+ * + * map<string, string> metadata = 2; + */ + public Builder putMetadata(java.lang.String key, java.lang.String value) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + if (value == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableMetadata().getMutableMap().put(key, value); + return this; + } + /** + * + * + * 
+     * Additional domain-specific prediction response metadata.
+     * * For Image Object Detection:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      image could have been returned.
+     * * For Text Sentiment:
+     *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+     *      -1 maps to least positive sentiment, while 1 maps to the most positive
+     *      one and the higher the score, the more positive the sentiment in the
+     *      document is. Yet these values are relative to the training data, so
+     *      e.g. if all data was positive then -1 will be also positive (though
+     *      the least).
+     *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+     *      from the previous Natural Language Sentiment Analysis API.
+     *
+ * + * map<string, string> metadata = 2; + */ + public Builder putAllMetadata(java.util.Map values) { + internalGetMutableMetadata().getMutableMap().putAll(values); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.PredictResponse) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.PredictResponse) + private static final com.google.cloud.automl.v1beta1.PredictResponse DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.PredictResponse(); + } + + public static com.google.cloud.automl.v1beta1.PredictResponse getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public PredictResponse parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new PredictResponse(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.PredictResponse getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictResponseOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictResponseOrBuilder.java new file mode 100644 index 000000000..e5e695268 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictResponseOrBuilder.java @@ -0,0 +1,243 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/prediction_service.proto + +package com.google.cloud.automl.v1beta1; + +public interface PredictResponseOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.PredictResponse) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Prediction result.
+   * Translation and Text Sentiment will return precisely one payload.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + java.util.List getPayloadList(); + /** + * + * + * 
+   * Prediction result.
+   * Translation and Text Sentiment will return precisely one payload.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + com.google.cloud.automl.v1beta1.AnnotationPayload getPayload(int index); + /** + * + * + * 
+   * Prediction result.
+   * Translation and Text Sentiment will return precisely one payload.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + int getPayloadCount(); + /** + * + * + * 
+   * Prediction result.
+   * Translation and Text Sentiment will return precisely one payload.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + java.util.List + getPayloadOrBuilderList(); + /** + * + * + * 
+   * Prediction result.
+   * Translation and Text Sentiment will return precisely one payload.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; + */ + com.google.cloud.automl.v1beta1.AnnotationPayloadOrBuilder getPayloadOrBuilder(int index); + + /** + * + * + * 
+   * The preprocessed example that AutoML actually makes prediction on.
+   * Empty if AutoML does not preprocess the input example.
+   * * For Text Extraction:
+   *   If the input is a .pdf file, the OCR'ed text will be provided in
+   *   [document_text][google.cloud.automl.v1beta1.Document.document_text].
+   *
+ * + * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3; + * + * @return Whether the preprocessedInput field is set. + */ + boolean hasPreprocessedInput(); + /** + * + * + * 
+   * The preprocessed example that AutoML actually makes prediction on.
+   * Empty if AutoML does not preprocess the input example.
+   * * For Text Extraction:
+   *   If the input is a .pdf file, the OCR'ed text will be provided in
+   *   [document_text][google.cloud.automl.v1beta1.Document.document_text].
+   *
+ * + * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3; + * + * @return The preprocessedInput. + */ + com.google.cloud.automl.v1beta1.ExamplePayload getPreprocessedInput(); + /** + * + * + * 
+   * The preprocessed example that AutoML actually makes prediction on.
+   * Empty if AutoML does not preprocess the input example.
+   * * For Text Extraction:
+   *   If the input is a .pdf file, the OCR'ed text will be provided in
+   *   [document_text][google.cloud.automl.v1beta1.Document.document_text].
+   *
+ * + * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3; + */ + com.google.cloud.automl.v1beta1.ExamplePayloadOrBuilder getPreprocessedInputOrBuilder(); + + /** + * + * + * 
+   * Additional domain-specific prediction response metadata.
+   * * For Image Object Detection:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      image could have been returned.
+   * * For Text Sentiment:
+   *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+   *      -1 maps to least positive sentiment, while 1 maps to the most positive
+   *      one and the higher the score, the more positive the sentiment in the
+   *      document is. Yet these values are relative to the training data, so
+   *      e.g. if all data was positive then -1 will be also positive (though
+   *      the least).
+   *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+   *      from the previous Natural Language Sentiment Analysis API.
+   *
+ * + * map<string, string> metadata = 2; + */ + int getMetadataCount(); + /** + * + * + * 
+   * Additional domain-specific prediction response metadata.
+   * * For Image Object Detection:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      image could have been returned.
+   * * For Text Sentiment:
+   *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+   *      -1 maps to least positive sentiment, while 1 maps to the most positive
+   *      one and the higher the score, the more positive the sentiment in the
+   *      document is. Yet these values are relative to the training data, so
+   *      e.g. if all data was positive then -1 will be also positive (though
+   *      the least).
+   *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+   *      from the previous Natural Language Sentiment Analysis API.
+   *
+ * + * map<string, string> metadata = 2; + */ + boolean containsMetadata(java.lang.String key); + /** Use {@link #getMetadataMap()} instead. */ + @java.lang.Deprecated + java.util.Map getMetadata(); + /** + * + * + * 
+   * Additional domain-specific prediction response metadata.
+   * * For Image Object Detection:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      image could have been returned.
+   * * For Text Sentiment:
+   *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+   *      -1 maps to least positive sentiment, while 1 maps to the most positive
+   *      one and the higher the score, the more positive the sentiment in the
+   *      document is. Yet these values are relative to the training data, so
+   *      e.g. if all data was positive then -1 will be also positive (though
+   *      the least).
+   *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+   *      from the previous Natural Language Sentiment Analysis API.
+   *
+ * + * map<string, string> metadata = 2; + */ + java.util.Map getMetadataMap(); + /** + * + * + * 
+   * Additional domain-specific prediction response metadata.
+   * * For Image Object Detection:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      image could have been returned.
+   * * For Text Sentiment:
+   *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+   *      -1 maps to least positive sentiment, while 1 maps to the most positive
+   *      one and the higher the score, the more positive the sentiment in the
+   *      document is. Yet these values are relative to the training data, so
+   *      e.g. if all data was positive then -1 will be also positive (though
+   *      the least).
+   *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+   *      from the previous Natural Language Sentiment Analysis API.
+   *
+ * + * map<string, string> metadata = 2; + */ + java.lang.String getMetadataOrDefault(java.lang.String key, java.lang.String defaultValue); + /** + * + * + * 
+   * Additional domain-specific prediction response metadata.
+   * * For Image Object Detection:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      image could have been returned.
+   * * For Text Sentiment:
+   *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+   *      -1 maps to least positive sentiment, while 1 maps to the most positive
+   *      one and the higher the score, the more positive the sentiment in the
+   *      document is. Yet these values are relative to the training data, so
+   *      e.g. if all data was positive then -1 will be also positive (though
+   *      the least).
+   *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+   *      from the previous Natural Language Sentiment Analysis API.
+   *
+ * + * map<string, string> metadata = 2; + */ + java.lang.String getMetadataOrThrow(java.lang.String key); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceProto.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceProto.java new file mode 100644 index 000000000..6e6131562 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceProto.java @@ -0,0 +1,237 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/prediction_service.proto + +package com.google.cloud.automl.v1beta1; + +public final class PredictionServiceProto { + private PredictionServiceProto() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_PredictRequest_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_PredictRequest_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_PredictRequest_ParamsEntry_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_PredictRequest_ParamsEntry_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_PredictResponse_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_PredictResponse_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_PredictResponse_MetadataEntry_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_PredictResponse_MetadataEntry_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_BatchPredictRequest_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_BatchPredictRequest_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_BatchPredictRequest_ParamsEntry_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_BatchPredictRequest_ParamsEntry_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_BatchPredictResult_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_BatchPredictResult_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_BatchPredictResult_MetadataEntry_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_BatchPredictResult_MetadataEntry_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n4google/cloud/automl/v1beta1/prediction" + + "_service.proto\022\033google.cloud.automl.v1be" + + "ta1\032\034google/api/annotations.proto\032\027googl" + + "e/api/client.proto\032\037google/api/field_beh" + + "avior.proto\032\031google/api/resource.proto\0324" + + "google/cloud/automl/v1beta1/annotation_p" + + "ayload.proto\032,google/cloud/automl/v1beta" + + "1/data_items.proto\032$google/cloud/automl/" + + "v1beta1/io.proto\032,google/cloud/automl/v1" + + "beta1/operations.proto\032#google/longrunni" + + "ng/operations.proto\"\376\001\n\016PredictRequest\0221" + + "\n\004name\030\001 \001(\tB#\340A\002\372A\035\n\033automl.googleapis." + + "com/Model\022A\n\007payload\030\002 \001(\0132+.google.clou" + + "d.automl.v1beta1.ExamplePayloadB\003\340A\002\022G\n\006" + + "params\030\003 \003(\01327.google.cloud.automl.v1bet" + + "a1.PredictRequest.ParamsEntry\032-\n\013ParamsE" + + "ntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001\"\232\002\n" + + "\017PredictResponse\022?\n\007payload\030\001 \003(\0132..goog" + + "le.cloud.automl.v1beta1.AnnotationPayloa" + + "d\022G\n\022preprocessed_input\030\003 \001(\0132+.google.c" + + "loud.automl.v1beta1.ExamplePayload\022L\n\010me" + + "tadata\030\002 \003(\0132:.google.cloud.automl.v1bet" + + "a1.PredictResponse.MetadataEntry\032/\n\rMeta" + + "dataEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028" + + "\001\"\356\002\n\023BatchPredictRequest\0221\n\004name\030\001 \001(\tB" + + "#\340A\002\372A\035\n\033automl.googleapis.com/Model\022O\n\014" + + "input_config\030\003 \001(\01324.google.cloud.automl" + + ".v1beta1.BatchPredictInputConfigB\003\340A\002\022Q\n" + + "\routput_config\030\004 \001(\01325.google.cloud.auto" + + "ml.v1beta1.BatchPredictOutputConfigB\003\340A\002" + + "\022Q\n\006params\030\005 \003(\0132<.google.cloud.automl.v" + + "1beta1.BatchPredictRequest.ParamsEntryB\003" + + "\340A\002\032-\n\013ParamsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value" + + "\030\002 \001(\t:\0028\001\"\226\001\n\022BatchPredictResult\022O\n\010met" + + "adata\030\001 \003(\0132=.google.cloud.automl.v1beta" + + "1.BatchPredictResult.MetadataEntry\032/\n\rMe" + + "tadataEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:" + + "\0028\0012\236\004\n\021PredictionService\022\276\001\n\007Predict\022+." + + "google.cloud.automl.v1beta1.PredictReque" + + "st\032,.google.cloud.automl.v1beta1.Predict" + + "Response\"X\202\323\344\223\002<\"7/v1beta1/{name=project" + + "s/*/locations/*/models/*}:predict:\001*\332A\023n" + + "ame,payload,params\022\374\001\n\014BatchPredict\0220.go" + + "ogle.cloud.automl.v1beta1.BatchPredictRe" + + "quest\032\035.google.longrunning.Operation\"\232\001\202" + + "\323\344\223\002A\" + * Output only. Root Mean Squared Error (RMSE). + * + * + * float root_mean_squared_error = 1; + * + * @return The rootMeanSquaredError. + */ + float getRootMeanSquaredError(); + + /** + * + * + * 
+     * Output only. Mean Absolute Error (MAE).
+     *
+ * + * float mean_absolute_error = 2; + * + * @return The meanAbsoluteError. + */ + float getMeanAbsoluteError(); + + /** + * + * + * 
+     * Output only. Mean absolute percentage error. Only set if all ground truth
+     * values are are positive.
+     *
+ * + * float mean_absolute_percentage_error = 3; + * + * @return The meanAbsolutePercentageError. + */ + float getMeanAbsolutePercentageError(); + + /** + * + * + * 
+     * Output only. R squared.
+     *
+ * + * float r_squared = 4; + * + * @return The rSquared. + */ + float getRSquared(); + + /** + * + * + * 
+     * Output only. Root mean squared log error.
+     *
+ * + * float root_mean_squared_log_error = 5; + * + * @return The rootMeanSquaredLogError. + */ + float getRootMeanSquaredLogError(); + } + /** + * + * + * 
+   * Metrics for regression problems.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.RegressionEvaluationMetrics} + */ + public static final class RegressionEvaluationMetrics + extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.RegressionEvaluationMetrics) + RegressionEvaluationMetricsOrBuilder { + private static final long serialVersionUID = 0L; + // Use RegressionEvaluationMetrics.newBuilder() to construct. + private RegressionEvaluationMetrics(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private RegressionEvaluationMetrics() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new RegressionEvaluationMetrics(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private RegressionEvaluationMetrics( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 13: + { + rootMeanSquaredError_ = input.readFloat(); + break; + } + case 21: + { + meanAbsoluteError_ = input.readFloat(); + break; + } + case 29: + { + meanAbsolutePercentageError_ = input.readFloat(); + break; + } + case 37: + { + rSquared_ = input.readFloat(); + break; + } + case 45: + { + rootMeanSquaredLogError_ = input.readFloat(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.RegressionProto + .internal_static_google_cloud_automl_v1beta1_RegressionEvaluationMetrics_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.RegressionProto + .internal_static_google_cloud_automl_v1beta1_RegressionEvaluationMetrics_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.class, + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.Builder + .class); + } + + public static final int ROOT_MEAN_SQUARED_ERROR_FIELD_NUMBER = 1; + private float rootMeanSquaredError_; + /** + * + * + * 
+     * Output only. Root Mean Squared Error (RMSE).
+     *
+ * + * float root_mean_squared_error = 1; + * + * @return The rootMeanSquaredError. + */ + public float getRootMeanSquaredError() { + return rootMeanSquaredError_; + } + + public static final int MEAN_ABSOLUTE_ERROR_FIELD_NUMBER = 2; + private float meanAbsoluteError_; + /** + * + * + * 
+     * Output only. Mean Absolute Error (MAE).
+     *
+ * + * float mean_absolute_error = 2; + * + * @return The meanAbsoluteError. + */ + public float getMeanAbsoluteError() { + return meanAbsoluteError_; + } + + public static final int MEAN_ABSOLUTE_PERCENTAGE_ERROR_FIELD_NUMBER = 3; + private float meanAbsolutePercentageError_; + /** + * + * + * 
+     * Output only. Mean absolute percentage error. Only set if all ground truth
+     * values are are positive.
+     *
+ * + * float mean_absolute_percentage_error = 3; + * + * @return The meanAbsolutePercentageError. + */ + public float getMeanAbsolutePercentageError() { + return meanAbsolutePercentageError_; + } + + public static final int R_SQUARED_FIELD_NUMBER = 4; + private float rSquared_; + /** + * + * + * 
+     * Output only. R squared.
+     *
+ * + * float r_squared = 4; + * + * @return The rSquared. + */ + public float getRSquared() { + return rSquared_; + } + + public static final int ROOT_MEAN_SQUARED_LOG_ERROR_FIELD_NUMBER = 5; + private float rootMeanSquaredLogError_; + /** + * + * + * 
+     * Output only. Root mean squared log error.
+     *
+ * + * float root_mean_squared_log_error = 5; + * + * @return The rootMeanSquaredLogError. + */ + public float getRootMeanSquaredLogError() { + return rootMeanSquaredLogError_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (rootMeanSquaredError_ != 0F) { + output.writeFloat(1, rootMeanSquaredError_); + } + if (meanAbsoluteError_ != 0F) { + output.writeFloat(2, meanAbsoluteError_); + } + if (meanAbsolutePercentageError_ != 0F) { + output.writeFloat(3, meanAbsolutePercentageError_); + } + if (rSquared_ != 0F) { + output.writeFloat(4, rSquared_); + } + if (rootMeanSquaredLogError_ != 0F) { + output.writeFloat(5, rootMeanSquaredLogError_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (rootMeanSquaredError_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, rootMeanSquaredError_); + } + if (meanAbsoluteError_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(2, meanAbsoluteError_); + } + if (meanAbsolutePercentageError_ != 0F) { + size += + com.google.protobuf.CodedOutputStream.computeFloatSize(3, meanAbsolutePercentageError_); + } + if (rSquared_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(4, rSquared_); + } + if (rootMeanSquaredLogError_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(5, rootMeanSquaredLogError_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj + instanceof com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics other = + (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) obj; + + if (java.lang.Float.floatToIntBits(getRootMeanSquaredError()) + != java.lang.Float.floatToIntBits(other.getRootMeanSquaredError())) return false; + if (java.lang.Float.floatToIntBits(getMeanAbsoluteError()) + != java.lang.Float.floatToIntBits(other.getMeanAbsoluteError())) return false; + if (java.lang.Float.floatToIntBits(getMeanAbsolutePercentageError()) + != java.lang.Float.floatToIntBits(other.getMeanAbsolutePercentageError())) return false; + if (java.lang.Float.floatToIntBits(getRSquared()) + != java.lang.Float.floatToIntBits(other.getRSquared())) return false; + if (java.lang.Float.floatToIntBits(getRootMeanSquaredLogError()) + != java.lang.Float.floatToIntBits(other.getRootMeanSquaredLogError())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + ROOT_MEAN_SQUARED_ERROR_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getRootMeanSquaredError()); + hash = (37 * hash) + MEAN_ABSOLUTE_ERROR_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getMeanAbsoluteError()); + hash = (37 * hash) + MEAN_ABSOLUTE_PERCENTAGE_ERROR_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getMeanAbsolutePercentageError()); + hash = (37 * hash) + R_SQUARED_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getRSquared()); + hash = (37 * hash) + ROOT_MEAN_SQUARED_LOG_ERROR_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getRootMeanSquaredLogError()); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + parseFrom(com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + parseFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType( + com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+     * Metrics for regression problems.
+     *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.RegressionEvaluationMetrics} + */ + public static final class Builder + extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.RegressionEvaluationMetrics) + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetricsOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.RegressionProto + .internal_static_google_cloud_automl_v1beta1_RegressionEvaluationMetrics_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.RegressionProto + .internal_static_google_cloud_automl_v1beta1_RegressionEvaluationMetrics_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.class, + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.Builder + .class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + rootMeanSquaredError_ = 0F; + + meanAbsoluteError_ = 0F; + + meanAbsolutePercentageError_ = 0F; + + rSquared_ = 0F; + + rootMeanSquaredLogError_ = 0F; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.RegressionProto + .internal_static_google_cloud_automl_v1beta1_RegressionEvaluationMetrics_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + .getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics build() { + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics result = + buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + buildPartial() { + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics result = + new com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics(this); + result.rootMeanSquaredError_ = rootMeanSquaredError_; + result.meanAbsoluteError_ = meanAbsoluteError_; + result.meanAbsolutePercentageError_ = meanAbsolutePercentageError_; + result.rSquared_ = rSquared_; + result.rootMeanSquaredLogError_ = rootMeanSquaredLogError_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, + int index, + java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other + instanceof + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics other) { + if (other + == com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + .getDefaultInstance()) return this; + if (other.getRootMeanSquaredError() != 0F) { + setRootMeanSquaredError(other.getRootMeanSquaredError()); + } + if (other.getMeanAbsoluteError() != 0F) { + setMeanAbsoluteError(other.getMeanAbsoluteError()); + } + if (other.getMeanAbsolutePercentageError() != 0F) { + setMeanAbsolutePercentageError(other.getMeanAbsolutePercentageError()); + } + if (other.getRSquared() != 0F) { + setRSquared(other.getRSquared()); + } + if (other.getRootMeanSquaredLogError() != 0F) { + setRootMeanSquaredLogError(other.getRootMeanSquaredLogError()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics parsedMessage = + null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private float rootMeanSquaredError_; + /** + * + * + * 
+       * Output only. Root Mean Squared Error (RMSE).
+       *
+ * + * float root_mean_squared_error = 1; + * + * @return The rootMeanSquaredError. + */ + public float getRootMeanSquaredError() { + return rootMeanSquaredError_; + } + /** + * + * + * 
+       * Output only. Root Mean Squared Error (RMSE).
+       *
+ * + * float root_mean_squared_error = 1; + * + * @param value The rootMeanSquaredError to set. + * @return This builder for chaining. + */ + public Builder setRootMeanSquaredError(float value) { + + rootMeanSquaredError_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. Root Mean Squared Error (RMSE).
+       *
+ * + * float root_mean_squared_error = 1; + * + * @return This builder for chaining. + */ + public Builder clearRootMeanSquaredError() { + + rootMeanSquaredError_ = 0F; + onChanged(); + return this; + } + + private float meanAbsoluteError_; + /** + * + * + * 
+       * Output only. Mean Absolute Error (MAE).
+       *
+ * + * float mean_absolute_error = 2; + * + * @return The meanAbsoluteError. + */ + public float getMeanAbsoluteError() { + return meanAbsoluteError_; + } + /** + * + * + * 
+       * Output only. Mean Absolute Error (MAE).
+       *
+ * + * float mean_absolute_error = 2; + * + * @param value The meanAbsoluteError to set. + * @return This builder for chaining. + */ + public Builder setMeanAbsoluteError(float value) { + + meanAbsoluteError_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. Mean Absolute Error (MAE).
+       *
+ * + * float mean_absolute_error = 2; + * + * @return This builder for chaining. + */ + public Builder clearMeanAbsoluteError() { + + meanAbsoluteError_ = 0F; + onChanged(); + return this; + } + + private float meanAbsolutePercentageError_; + /** + * + * + * 
+       * Output only. Mean absolute percentage error. Only set if all ground truth
+       * values are are positive.
+       *
+ * + * float mean_absolute_percentage_error = 3; + * + * @return The meanAbsolutePercentageError. + */ + public float getMeanAbsolutePercentageError() { + return meanAbsolutePercentageError_; + } + /** + * + * + * 
+       * Output only. Mean absolute percentage error. Only set if all ground truth
+       * values are are positive.
+       *
+ * + * float mean_absolute_percentage_error = 3; + * + * @param value The meanAbsolutePercentageError to set. + * @return This builder for chaining. + */ + public Builder setMeanAbsolutePercentageError(float value) { + + meanAbsolutePercentageError_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. Mean absolute percentage error. Only set if all ground truth
+       * values are are positive.
+       *
+ * + * float mean_absolute_percentage_error = 3; + * + * @return This builder for chaining. + */ + public Builder clearMeanAbsolutePercentageError() { + + meanAbsolutePercentageError_ = 0F; + onChanged(); + return this; + } + + private float rSquared_; + /** + * + * + * 
+       * Output only. R squared.
+       *
+ * + * float r_squared = 4; + * + * @return The rSquared. + */ + public float getRSquared() { + return rSquared_; + } + /** + * + * + * 
+       * Output only. R squared.
+       *
+ * + * float r_squared = 4; + * + * @param value The rSquared to set. + * @return This builder for chaining. + */ + public Builder setRSquared(float value) { + + rSquared_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. R squared.
+       *
+ * + * float r_squared = 4; + * + * @return This builder for chaining. + */ + public Builder clearRSquared() { + + rSquared_ = 0F; + onChanged(); + return this; + } + + private float rootMeanSquaredLogError_; + /** + * + * + * 
+       * Output only. Root mean squared log error.
+       *
+ * + * float root_mean_squared_log_error = 5; + * + * @return The rootMeanSquaredLogError. + */ + public float getRootMeanSquaredLogError() { + return rootMeanSquaredLogError_; + } + /** + * + * + * 
+       * Output only. Root mean squared log error.
+       *
+ * + * float root_mean_squared_log_error = 5; + * + * @param value The rootMeanSquaredLogError to set. + * @return This builder for chaining. + */ + public Builder setRootMeanSquaredLogError(float value) { + + rootMeanSquaredLogError_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. Root mean squared log error.
+       *
+ * + * float root_mean_squared_log_error = 5; + * + * @return This builder for chaining. + */ + public Builder clearRootMeanSquaredLogError() { + + rootMeanSquaredLogError_ = 0F; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.RegressionEvaluationMetrics) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.RegressionEvaluationMetrics) + private static final com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = + new com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics(); + } + + public static com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public RegressionEvaluationMetrics parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new RegressionEvaluationMetrics(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } + } + + private static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_RegressionEvaluationMetrics_descriptor; + private static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_RegressionEvaluationMetrics_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n,google/cloud/automl/v1beta1/regression" + + ".proto\022\033google.cloud.automl.v1beta1\032\034goo" + + "gle/api/annotations.proto\"\273\001\n\033Regression" + + "EvaluationMetrics\022\037\n\027root_mean_squared_e" + + "rror\030\001 \001(\002\022\033\n\023mean_absolute_error\030\002 \001(\002\022" + + "&\n\036mean_absolute_percentage_error\030\003 \001(\002\022" + + "\021\n\tr_squared\030\004 \001(\002\022#\n\033root_mean_squared_" + + "log_error\030\005 \001(\002B\264\001\n\037com.google.cloud.aut" + + "oml.v1beta1B\017RegressionProtoZAgoogle.gol" + + "ang.org/genproto/googleapis/cloud/automl" + + "/v1beta1;automl\312\002\033Google\\Cloud\\AutoMl\\V1" + + "beta1\352\002\036Google::Cloud::AutoML::V1beta1b\006" + + "proto3" + }; + descriptor = + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.api.AnnotationsProto.getDescriptor(), + }); + internal_static_google_cloud_automl_v1beta1_RegressionEvaluationMetrics_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_RegressionEvaluationMetrics_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_RegressionEvaluationMetrics_descriptor, + new java.lang.String[] { + "RootMeanSquaredError", + "MeanAbsoluteError", + "MeanAbsolutePercentageError", + "RSquared", + "RootMeanSquaredLogError", + }); + com.google.api.AnnotationsProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Row.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Row.java new file mode 100644 index 000000000..6a3730b9a --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Row.java @@ -0,0 +1,1375 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_items.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * A representation of a row in a relational table.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.Row} + */ +public final class Row extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.Row) + RowOrBuilder { + private static final long serialVersionUID = 0L; + // Use Row.newBuilder() to construct. + private Row(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private Row() { + columnSpecIds_ = com.google.protobuf.LazyStringArrayList.EMPTY; + values_ = java.util.Collections.emptyList(); + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new Row(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private Row( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 18: + { + java.lang.String s = input.readStringRequireUtf8(); + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + columnSpecIds_ = new com.google.protobuf.LazyStringArrayList(); + mutable_bitField0_ |= 0x00000001; + } + columnSpecIds_.add(s); + break; + } + case 26: + { + if (!((mutable_bitField0_ & 0x00000002) != 0)) { + values_ = new java.util.ArrayList(); + mutable_bitField0_ |= 0x00000002; + } + values_.add(input.readMessage(com.google.protobuf.Value.parser(), extensionRegistry)); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + columnSpecIds_ = columnSpecIds_.getUnmodifiableView(); + } + if (((mutable_bitField0_ & 0x00000002) != 0)) { + values_ = java.util.Collections.unmodifiableList(values_); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_Row_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_Row_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.Row.class, + com.google.cloud.automl.v1beta1.Row.Builder.class); + } + + public static final int COLUMN_SPEC_IDS_FIELD_NUMBER = 2; + private com.google.protobuf.LazyStringList columnSpecIds_; + /** + * + * + * 
+   * The resource IDs of the column specs describing the columns of the row.
+   * If set must contain, but possibly in a different order, all input
+   * feature
+   * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   * Note: The below `values` field must match order of this field, if this
+   * field is set.
+   *
+ * + * repeated string column_spec_ids = 2; + * + * @return A list containing the columnSpecIds. + */ + public com.google.protobuf.ProtocolStringList getColumnSpecIdsList() { + return columnSpecIds_; + } + /** + * + * + * 
+   * The resource IDs of the column specs describing the columns of the row.
+   * If set must contain, but possibly in a different order, all input
+   * feature
+   * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   * Note: The below `values` field must match order of this field, if this
+   * field is set.
+   *
+ * + * repeated string column_spec_ids = 2; + * + * @return The count of columnSpecIds. + */ + public int getColumnSpecIdsCount() { + return columnSpecIds_.size(); + } + /** + * + * + * 
+   * The resource IDs of the column specs describing the columns of the row.
+   * If set must contain, but possibly in a different order, all input
+   * feature
+   * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   * Note: The below `values` field must match order of this field, if this
+   * field is set.
+   *
+ * + * repeated string column_spec_ids = 2; + * + * @param index The index of the element to return. + * @return The columnSpecIds at the given index. + */ + public java.lang.String getColumnSpecIds(int index) { + return columnSpecIds_.get(index); + } + /** + * + * + * 
+   * The resource IDs of the column specs describing the columns of the row.
+   * If set must contain, but possibly in a different order, all input
+   * feature
+   * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   * Note: The below `values` field must match order of this field, if this
+   * field is set.
+   *
+ * + * repeated string column_spec_ids = 2; + * + * @param index The index of the value to return. + * @return The bytes of the columnSpecIds at the given index. + */ + public com.google.protobuf.ByteString getColumnSpecIdsBytes(int index) { + return columnSpecIds_.getByteString(index); + } + + public static final int VALUES_FIELD_NUMBER = 3; + private java.util.List values_; + /** + * + * + * 
+   * Required. The values of the row cells, given in the same order as the
+   * column_spec_ids, or, if not set, then in the same order as input
+   * feature
+   * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public java.util.List getValuesList() { + return values_; + } + /** + * + * + * 
+   * Required. The values of the row cells, given in the same order as the
+   * column_spec_ids, or, if not set, then in the same order as input
+   * feature
+   * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public java.util.List getValuesOrBuilderList() { + return values_; + } + /** + * + * + * 
+   * Required. The values of the row cells, given in the same order as the
+   * column_spec_ids, or, if not set, then in the same order as input
+   * feature
+   * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public int getValuesCount() { + return values_.size(); + } + /** + * + * + * 
+   * Required. The values of the row cells, given in the same order as the
+   * column_spec_ids, or, if not set, then in the same order as input
+   * feature
+   * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public com.google.protobuf.Value getValues(int index) { + return values_.get(index); + } + /** + * + * + * 
+   * Required. The values of the row cells, given in the same order as the
+   * column_spec_ids, or, if not set, then in the same order as input
+   * feature
+   * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public com.google.protobuf.ValueOrBuilder getValuesOrBuilder(int index) { + return values_.get(index); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + for (int i = 0; i < columnSpecIds_.size(); i++) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 2, columnSpecIds_.getRaw(i)); + } + for (int i = 0; i < values_.size(); i++) { + output.writeMessage(3, values_.get(i)); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + { + int dataSize = 0; + for (int i = 0; i < columnSpecIds_.size(); i++) { + dataSize += computeStringSizeNoTag(columnSpecIds_.getRaw(i)); + } + size += dataSize; + size += 1 * getColumnSpecIdsList().size(); + } + for (int i = 0; i < values_.size(); i++) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, values_.get(i)); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.Row)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.Row other = (com.google.cloud.automl.v1beta1.Row) obj; + + if (!getColumnSpecIdsList().equals(other.getColumnSpecIdsList())) return false; + if (!getValuesList().equals(other.getValuesList())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (getColumnSpecIdsCount() > 0) { + hash = (37 * hash) + COLUMN_SPEC_IDS_FIELD_NUMBER; + hash = (53 * hash) + getColumnSpecIdsList().hashCode(); + } + if (getValuesCount() > 0) { + hash = (37 * hash) + VALUES_FIELD_NUMBER; + hash = (53 * hash) + getValuesList().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.Row parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.Row parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Row parseFrom(com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.Row parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Row parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.Row parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Row parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.Row parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Row parseDelimitedFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.Row parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Row parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.Row parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.Row prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * A representation of a row in a relational table.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.Row} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.Row) + com.google.cloud.automl.v1beta1.RowOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_Row_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_Row_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.Row.class, + com.google.cloud.automl.v1beta1.Row.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.Row.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getValuesFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + columnSpecIds_ = com.google.protobuf.LazyStringArrayList.EMPTY; + bitField0_ = (bitField0_ & ~0x00000001); + if (valuesBuilder_ == null) { + values_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000002); + } else { + valuesBuilder_.clear(); + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_Row_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Row getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.Row.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Row build() { + com.google.cloud.automl.v1beta1.Row result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Row buildPartial() { + com.google.cloud.automl.v1beta1.Row result = new com.google.cloud.automl.v1beta1.Row(this); + int from_bitField0_ = bitField0_; + if (((bitField0_ & 0x00000001) != 0)) { + columnSpecIds_ = columnSpecIds_.getUnmodifiableView(); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.columnSpecIds_ = columnSpecIds_; + if (valuesBuilder_ == null) { + if (((bitField0_ & 0x00000002) != 0)) { + values_ = java.util.Collections.unmodifiableList(values_); + bitField0_ = (bitField0_ & ~0x00000002); + } + result.values_ = values_; + } else { + result.values_ = valuesBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.Row) { + return mergeFrom((com.google.cloud.automl.v1beta1.Row) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.Row other) { + if (other == com.google.cloud.automl.v1beta1.Row.getDefaultInstance()) return this; + if (!other.columnSpecIds_.isEmpty()) { + if (columnSpecIds_.isEmpty()) { + columnSpecIds_ = other.columnSpecIds_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensureColumnSpecIdsIsMutable(); + columnSpecIds_.addAll(other.columnSpecIds_); + } + onChanged(); + } + if (valuesBuilder_ == null) { + if (!other.values_.isEmpty()) { + if (values_.isEmpty()) { + values_ = other.values_; + bitField0_ = (bitField0_ & ~0x00000002); + } else { + ensureValuesIsMutable(); + values_.addAll(other.values_); + } + onChanged(); + } + } else { + if (!other.values_.isEmpty()) { + if (valuesBuilder_.isEmpty()) { + valuesBuilder_.dispose(); + valuesBuilder_ = null; + values_ = other.values_; + bitField0_ = (bitField0_ & ~0x00000002); + valuesBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getValuesFieldBuilder() + : null; + } else { + valuesBuilder_.addAllMessages(other.values_); + } + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.Row parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.Row) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private com.google.protobuf.LazyStringList columnSpecIds_ = + com.google.protobuf.LazyStringArrayList.EMPTY; + + private void ensureColumnSpecIdsIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + columnSpecIds_ = new com.google.protobuf.LazyStringArrayList(columnSpecIds_); + bitField0_ |= 0x00000001; + } + } + /** + * + * + * 
+     * The resource IDs of the column specs describing the columns of the row.
+     * If set must contain, but possibly in a different order, all input
+     * feature
+     * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     * Note: The below `values` field must match order of this field, if this
+     * field is set.
+     *
+ * + * repeated string column_spec_ids = 2; + * + * @return A list containing the columnSpecIds. + */ + public com.google.protobuf.ProtocolStringList getColumnSpecIdsList() { + return columnSpecIds_.getUnmodifiableView(); + } + /** + * + * + * 
+     * The resource IDs of the column specs describing the columns of the row.
+     * If set must contain, but possibly in a different order, all input
+     * feature
+     * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     * Note: The below `values` field must match order of this field, if this
+     * field is set.
+     *
+ * + * repeated string column_spec_ids = 2; + * + * @return The count of columnSpecIds. + */ + public int getColumnSpecIdsCount() { + return columnSpecIds_.size(); + } + /** + * + * + * 
+     * The resource IDs of the column specs describing the columns of the row.
+     * If set must contain, but possibly in a different order, all input
+     * feature
+     * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     * Note: The below `values` field must match order of this field, if this
+     * field is set.
+     *
+ * + * repeated string column_spec_ids = 2; + * + * @param index The index of the element to return. + * @return The columnSpecIds at the given index. + */ + public java.lang.String getColumnSpecIds(int index) { + return columnSpecIds_.get(index); + } + /** + * + * + * 
+     * The resource IDs of the column specs describing the columns of the row.
+     * If set must contain, but possibly in a different order, all input
+     * feature
+     * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     * Note: The below `values` field must match order of this field, if this
+     * field is set.
+     *
+ * + * repeated string column_spec_ids = 2; + * + * @param index The index of the value to return. + * @return The bytes of the columnSpecIds at the given index. + */ + public com.google.protobuf.ByteString getColumnSpecIdsBytes(int index) { + return columnSpecIds_.getByteString(index); + } + /** + * + * + * 
+     * The resource IDs of the column specs describing the columns of the row.
+     * If set must contain, but possibly in a different order, all input
+     * feature
+     * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     * Note: The below `values` field must match order of this field, if this
+     * field is set.
+     *
+ * + * repeated string column_spec_ids = 2; + * + * @param index The index to set the value at. + * @param value The columnSpecIds to set. + * @return This builder for chaining. + */ + public Builder setColumnSpecIds(int index, java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + ensureColumnSpecIdsIsMutable(); + columnSpecIds_.set(index, value); + onChanged(); + return this; + } + /** + * + * + * 
+     * The resource IDs of the column specs describing the columns of the row.
+     * If set must contain, but possibly in a different order, all input
+     * feature
+     * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     * Note: The below `values` field must match order of this field, if this
+     * field is set.
+     *
+ * + * repeated string column_spec_ids = 2; + * + * @param value The columnSpecIds to add. + * @return This builder for chaining. + */ + public Builder addColumnSpecIds(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + ensureColumnSpecIdsIsMutable(); + columnSpecIds_.add(value); + onChanged(); + return this; + } + /** + * + * + * 
+     * The resource IDs of the column specs describing the columns of the row.
+     * If set must contain, but possibly in a different order, all input
+     * feature
+     * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     * Note: The below `values` field must match order of this field, if this
+     * field is set.
+     *
+ * + * repeated string column_spec_ids = 2; + * + * @param values The columnSpecIds to add. + * @return This builder for chaining. + */ + public Builder addAllColumnSpecIds(java.lang.Iterable values) { + ensureColumnSpecIdsIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, columnSpecIds_); + onChanged(); + return this; + } + /** + * + * + * 
+     * The resource IDs of the column specs describing the columns of the row.
+     * If set must contain, but possibly in a different order, all input
+     * feature
+     * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     * Note: The below `values` field must match order of this field, if this
+     * field is set.
+     *
+ * + * repeated string column_spec_ids = 2; + * + * @return This builder for chaining. + */ + public Builder clearColumnSpecIds() { + columnSpecIds_ = com.google.protobuf.LazyStringArrayList.EMPTY; + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + return this; + } + /** + * + * + * 
+     * The resource IDs of the column specs describing the columns of the row.
+     * If set must contain, but possibly in a different order, all input
+     * feature
+     * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     * Note: The below `values` field must match order of this field, if this
+     * field is set.
+     *
+ * + * repeated string column_spec_ids = 2; + * + * @param value The bytes of the columnSpecIds to add. + * @return This builder for chaining. + */ + public Builder addColumnSpecIdsBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + ensureColumnSpecIdsIsMutable(); + columnSpecIds_.add(value); + onChanged(); + return this; + } + + private java.util.List values_ = java.util.Collections.emptyList(); + + private void ensureValuesIsMutable() { + if (!((bitField0_ & 0x00000002) != 0)) { + values_ = new java.util.ArrayList(values_); + bitField0_ |= 0x00000002; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.protobuf.Value, + com.google.protobuf.Value.Builder, + com.google.protobuf.ValueOrBuilder> + valuesBuilder_; + + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input
+     * feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public java.util.List getValuesList() { + if (valuesBuilder_ == null) { + return java.util.Collections.unmodifiableList(values_); + } else { + return valuesBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input
+     * feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public int getValuesCount() { + if (valuesBuilder_ == null) { + return values_.size(); + } else { + return valuesBuilder_.getCount(); + } + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input
+     * feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public com.google.protobuf.Value getValues(int index) { + if (valuesBuilder_ == null) { + return values_.get(index); + } else { + return valuesBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input
+     * feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public Builder setValues(int index, com.google.protobuf.Value value) { + if (valuesBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureValuesIsMutable(); + values_.set(index, value); + onChanged(); + } else { + valuesBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input
+     * feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public Builder setValues(int index, com.google.protobuf.Value.Builder builderForValue) { + if (valuesBuilder_ == null) { + ensureValuesIsMutable(); + values_.set(index, builderForValue.build()); + onChanged(); + } else { + valuesBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input
+     * feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public Builder addValues(com.google.protobuf.Value value) { + if (valuesBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureValuesIsMutable(); + values_.add(value); + onChanged(); + } else { + valuesBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input
+     * feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public Builder addValues(int index, com.google.protobuf.Value value) { + if (valuesBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureValuesIsMutable(); + values_.add(index, value); + onChanged(); + } else { + valuesBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input
+     * feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public Builder addValues(com.google.protobuf.Value.Builder builderForValue) { + if (valuesBuilder_ == null) { + ensureValuesIsMutable(); + values_.add(builderForValue.build()); + onChanged(); + } else { + valuesBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input
+     * feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public Builder addValues(int index, com.google.protobuf.Value.Builder builderForValue) { + if (valuesBuilder_ == null) { + ensureValuesIsMutable(); + values_.add(index, builderForValue.build()); + onChanged(); + } else { + valuesBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input
+     * feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public Builder addAllValues(java.lang.Iterable values) { + if (valuesBuilder_ == null) { + ensureValuesIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, values_); + onChanged(); + } else { + valuesBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input
+     * feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public Builder clearValues() { + if (valuesBuilder_ == null) { + values_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000002); + onChanged(); + } else { + valuesBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input
+     * feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public Builder removeValues(int index) { + if (valuesBuilder_ == null) { + ensureValuesIsMutable(); + values_.remove(index); + onChanged(); + } else { + valuesBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input
+     * feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public com.google.protobuf.Value.Builder getValuesBuilder(int index) { + return getValuesFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input
+     * feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public com.google.protobuf.ValueOrBuilder getValuesOrBuilder(int index) { + if (valuesBuilder_ == null) { + return values_.get(index); + } else { + return valuesBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input
+     * feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public java.util.List getValuesOrBuilderList() { + if (valuesBuilder_ != null) { + return valuesBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(values_); + } + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input
+     * feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public com.google.protobuf.Value.Builder addValuesBuilder() { + return getValuesFieldBuilder().addBuilder(com.google.protobuf.Value.getDefaultInstance()); + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input
+     * feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public com.google.protobuf.Value.Builder addValuesBuilder(int index) { + return getValuesFieldBuilder() + .addBuilder(index, com.google.protobuf.Value.getDefaultInstance()); + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input
+     * feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public java.util.List getValuesBuilderList() { + return getValuesFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.protobuf.Value, + com.google.protobuf.Value.Builder, + com.google.protobuf.ValueOrBuilder> + getValuesFieldBuilder() { + if (valuesBuilder_ == null) { + valuesBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.protobuf.Value, + com.google.protobuf.Value.Builder, + com.google.protobuf.ValueOrBuilder>( + values_, ((bitField0_ & 0x00000002) != 0), getParentForChildren(), isClean()); + values_ = null; + } + return valuesBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.Row) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.Row) + private static final com.google.cloud.automl.v1beta1.Row DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.Row(); + } + + public static com.google.cloud.automl.v1beta1.Row getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public Row parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new Row(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Row getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/RowOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/RowOrBuilder.java new file mode 100644 index 000000000..7649c5f78 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/RowOrBuilder.java @@ -0,0 +1,171 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_items.proto + +package com.google.cloud.automl.v1beta1; + +public interface RowOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.Row) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * The resource IDs of the column specs describing the columns of the row.
+   * If set must contain, but possibly in a different order, all input
+   * feature
+   * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   * Note: The below `values` field must match order of this field, if this
+   * field is set.
+   *
+ * + * repeated string column_spec_ids = 2; + * + * @return A list containing the columnSpecIds. + */ + java.util.List getColumnSpecIdsList(); + /** + * + * + * 
+   * The resource IDs of the column specs describing the columns of the row.
+   * If set must contain, but possibly in a different order, all input
+   * feature
+   * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   * Note: The below `values` field must match order of this field, if this
+   * field is set.
+   *
+ * + * repeated string column_spec_ids = 2; + * + * @return The count of columnSpecIds. + */ + int getColumnSpecIdsCount(); + /** + * + * + * 
+   * The resource IDs of the column specs describing the columns of the row.
+   * If set must contain, but possibly in a different order, all input
+   * feature
+   * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   * Note: The below `values` field must match order of this field, if this
+   * field is set.
+   *
+ * + * repeated string column_spec_ids = 2; + * + * @param index The index of the element to return. + * @return The columnSpecIds at the given index. + */ + java.lang.String getColumnSpecIds(int index); + /** + * + * + * 
+   * The resource IDs of the column specs describing the columns of the row.
+   * If set must contain, but possibly in a different order, all input
+   * feature
+   * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   * Note: The below `values` field must match order of this field, if this
+   * field is set.
+   *
+ * + * repeated string column_spec_ids = 2; + * + * @param index The index of the value to return. + * @return The bytes of the columnSpecIds at the given index. + */ + com.google.protobuf.ByteString getColumnSpecIdsBytes(int index); + + /** + * + * + * 
+   * Required. The values of the row cells, given in the same order as the
+   * column_spec_ids, or, if not set, then in the same order as input
+   * feature
+   * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   *
+ * + * repeated .google.protobuf.Value values = 3; + */ + java.util.List getValuesList(); + /** + * + * + * 
+   * Required. The values of the row cells, given in the same order as the
+   * column_spec_ids, or, if not set, then in the same order as input
+   * feature
+   * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   *
+ * + * repeated .google.protobuf.Value values = 3; + */ + com.google.protobuf.Value getValues(int index); + /** + * + * + * 
+   * Required. The values of the row cells, given in the same order as the
+   * column_spec_ids, or, if not set, then in the same order as input
+   * feature
+   * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   *
+ * + * repeated .google.protobuf.Value values = 3; + */ + int getValuesCount(); + /** + * + * + * 
+   * Required. The values of the row cells, given in the same order as the
+   * column_spec_ids, or, if not set, then in the same order as input
+   * feature
+   * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   *
+ * + * repeated .google.protobuf.Value values = 3; + */ + java.util.List getValuesOrBuilderList(); + /** + * + * + * 
+   * Required. The values of the row cells, given in the same order as the
+   * column_spec_ids, or, if not set, then in the same order as input
+   * feature
+   * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   *
+ * + * repeated .google.protobuf.Value values = 3; + */ + com.google.protobuf.ValueOrBuilder getValuesOrBuilder(int index); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StringStats.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StringStats.java new file mode 100644 index 000000000..34262ebf2 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StringStats.java @@ -0,0 +1,1765 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_stats.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * The data statistics of a series of STRING values.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.StringStats} + */ +public final class StringStats extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.StringStats) + StringStatsOrBuilder { + private static final long serialVersionUID = 0L; + // Use StringStats.newBuilder() to construct. + private StringStats(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private StringStats() { + topUnigramStats_ = java.util.Collections.emptyList(); + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new StringStats(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private StringStats( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + topUnigramStats_ = + new java.util.ArrayList< + com.google.cloud.automl.v1beta1.StringStats.UnigramStats>(); + mutable_bitField0_ |= 0x00000001; + } + topUnigramStats_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.StringStats.UnigramStats.parser(), + extensionRegistry)); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + topUnigramStats_ = java.util.Collections.unmodifiableList(topUnigramStats_); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StringStats_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StringStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.StringStats.class, + com.google.cloud.automl.v1beta1.StringStats.Builder.class); + } + + public interface UnigramStatsOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.StringStats.UnigramStats) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+     * The unigram.
+     *
+ * + * string value = 1; + * + * @return The value. + */ + java.lang.String getValue(); + /** + * + * + * 
+     * The unigram.
+     *
+ * + * string value = 1; + * + * @return The bytes for value. + */ + com.google.protobuf.ByteString getValueBytes(); + + /** + * + * + * 
+     * The number of occurrences of this unigram in the series.
+     *
+ * + * int64 count = 2; + * + * @return The count. + */ + long getCount(); + } + /** + * + * + * 
+   * The statistics of a unigram.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.StringStats.UnigramStats} + */ + public static final class UnigramStats extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.StringStats.UnigramStats) + UnigramStatsOrBuilder { + private static final long serialVersionUID = 0L; + // Use UnigramStats.newBuilder() to construct. + private UnigramStats(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private UnigramStats() { + value_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new UnigramStats(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private UnigramStats( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + value_ = s; + break; + } + case 16: + { + count_ = input.readInt64(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StringStats_UnigramStats_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StringStats_UnigramStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.StringStats.UnigramStats.class, + com.google.cloud.automl.v1beta1.StringStats.UnigramStats.Builder.class); + } + + public static final int VALUE_FIELD_NUMBER = 1; + private volatile java.lang.Object value_; + /** + * + * + * 
+     * The unigram.
+     *
+ * + * string value = 1; + * + * @return The value. + */ + public java.lang.String getValue() { + java.lang.Object ref = value_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + value_ = s; + return s; + } + } + /** + * + * + * 
+     * The unigram.
+     *
+ * + * string value = 1; + * + * @return The bytes for value. + */ + public com.google.protobuf.ByteString getValueBytes() { + java.lang.Object ref = value_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + value_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int COUNT_FIELD_NUMBER = 2; + private long count_; + /** + * + * + * 
+     * The number of occurrences of this unigram in the series.
+     *
+ * + * int64 count = 2; + * + * @return The count. + */ + public long getCount() { + return count_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getValueBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, value_); + } + if (count_ != 0L) { + output.writeInt64(2, count_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getValueBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, value_); + } + if (count_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(2, count_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.StringStats.UnigramStats)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.StringStats.UnigramStats other = + (com.google.cloud.automl.v1beta1.StringStats.UnigramStats) obj; + + if (!getValue().equals(other.getValue())) return false; + if (getCount() != other.getCount()) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + VALUE_FIELD_NUMBER; + hash = (53 * hash) + getValue().hashCode(); + hash = (37 * hash) + COUNT_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getCount()); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.StringStats.UnigramStats parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.StringStats.UnigramStats parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StringStats.UnigramStats parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.StringStats.UnigramStats parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StringStats.UnigramStats parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.StringStats.UnigramStats parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StringStats.UnigramStats parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.StringStats.UnigramStats parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StringStats.UnigramStats parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.StringStats.UnigramStats parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StringStats.UnigramStats parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.StringStats.UnigramStats parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.StringStats.UnigramStats prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType( + com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+     * The statistics of a unigram.
+     *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.StringStats.UnigramStats} + */ + public static final class Builder + extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.StringStats.UnigramStats) + com.google.cloud.automl.v1beta1.StringStats.UnigramStatsOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StringStats_UnigramStats_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StringStats_UnigramStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.StringStats.UnigramStats.class, + com.google.cloud.automl.v1beta1.StringStats.UnigramStats.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.StringStats.UnigramStats.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + value_ = ""; + + count_ = 0L; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StringStats_UnigramStats_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StringStats.UnigramStats getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.StringStats.UnigramStats.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StringStats.UnigramStats build() { + com.google.cloud.automl.v1beta1.StringStats.UnigramStats result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StringStats.UnigramStats buildPartial() { + com.google.cloud.automl.v1beta1.StringStats.UnigramStats result = + new com.google.cloud.automl.v1beta1.StringStats.UnigramStats(this); + result.value_ = value_; + result.count_ = count_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, + int index, + java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.StringStats.UnigramStats) { + return mergeFrom((com.google.cloud.automl.v1beta1.StringStats.UnigramStats) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.StringStats.UnigramStats other) { + if (other == com.google.cloud.automl.v1beta1.StringStats.UnigramStats.getDefaultInstance()) + return this; + if (!other.getValue().isEmpty()) { + value_ = other.value_; + onChanged(); + } + if (other.getCount() != 0L) { + setCount(other.getCount()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.StringStats.UnigramStats parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.StringStats.UnigramStats) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object value_ = ""; + /** + * + * + * 
+       * The unigram.
+       *
+ * + * string value = 1; + * + * @return The value. + */ + public java.lang.String getValue() { + java.lang.Object ref = value_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + value_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+       * The unigram.
+       *
+ * + * string value = 1; + * + * @return The bytes for value. + */ + public com.google.protobuf.ByteString getValueBytes() { + java.lang.Object ref = value_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + value_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+       * The unigram.
+       *
+ * + * string value = 1; + * + * @param value The value to set. + * @return This builder for chaining. + */ + public Builder setValue(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + value_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * The unigram.
+       *
+ * + * string value = 1; + * + * @return This builder for chaining. + */ + public Builder clearValue() { + + value_ = getDefaultInstance().getValue(); + onChanged(); + return this; + } + /** + * + * + * 
+       * The unigram.
+       *
+ * + * string value = 1; + * + * @param value The bytes for value to set. + * @return This builder for chaining. + */ + public Builder setValueBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + value_ = value; + onChanged(); + return this; + } + + private long count_; + /** + * + * + * 
+       * The number of occurrences of this unigram in the series.
+       *
+ * + * int64 count = 2; + * + * @return The count. + */ + public long getCount() { + return count_; + } + /** + * + * + * 
+       * The number of occurrences of this unigram in the series.
+       *
+ * + * int64 count = 2; + * + * @param value The count to set. + * @return This builder for chaining. + */ + public Builder setCount(long value) { + + count_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * The number of occurrences of this unigram in the series.
+       *
+ * + * int64 count = 2; + * + * @return This builder for chaining. + */ + public Builder clearCount() { + + count_ = 0L; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.StringStats.UnigramStats) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.StringStats.UnigramStats) + private static final com.google.cloud.automl.v1beta1.StringStats.UnigramStats DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.StringStats.UnigramStats(); + } + + public static com.google.cloud.automl.v1beta1.StringStats.UnigramStats getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public UnigramStats parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new UnigramStats(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StringStats.UnigramStats getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } + } + + public static final int TOP_UNIGRAM_STATS_FIELD_NUMBER = 1; + private java.util.List topUnigramStats_; + /** + * + * + * 
+   * The statistics of the top 20 unigrams, ordered by
+   * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public java.util.List + getTopUnigramStatsList() { + return topUnigramStats_; + } + /** + * + * + * 
+   * The statistics of the top 20 unigrams, ordered by
+   * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public java.util.List + getTopUnigramStatsOrBuilderList() { + return topUnigramStats_; + } + /** + * + * + * 
+   * The statistics of the top 20 unigrams, ordered by
+   * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public int getTopUnigramStatsCount() { + return topUnigramStats_.size(); + } + /** + * + * + * 
+   * The statistics of the top 20 unigrams, ordered by
+   * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.StringStats.UnigramStats getTopUnigramStats(int index) { + return topUnigramStats_.get(index); + } + /** + * + * + * 
+   * The statistics of the top 20 unigrams, ordered by
+   * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.StringStats.UnigramStatsOrBuilder + getTopUnigramStatsOrBuilder(int index) { + return topUnigramStats_.get(index); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + for (int i = 0; i < topUnigramStats_.size(); i++) { + output.writeMessage(1, topUnigramStats_.get(i)); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + for (int i = 0; i < topUnigramStats_.size(); i++) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, topUnigramStats_.get(i)); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.StringStats)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.StringStats other = + (com.google.cloud.automl.v1beta1.StringStats) obj; + + if (!getTopUnigramStatsList().equals(other.getTopUnigramStatsList())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (getTopUnigramStatsCount() > 0) { + hash = (37 * hash) + TOP_UNIGRAM_STATS_FIELD_NUMBER; + hash = (53 * hash) + getTopUnigramStatsList().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.StringStats parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.StringStats parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StringStats parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.StringStats parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StringStats parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.StringStats parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StringStats parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.StringStats parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StringStats parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.StringStats parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StringStats parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.StringStats parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.StringStats prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * The data statistics of a series of STRING values.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.StringStats} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.StringStats) + com.google.cloud.automl.v1beta1.StringStatsOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StringStats_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StringStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.StringStats.class, + com.google.cloud.automl.v1beta1.StringStats.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.StringStats.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getTopUnigramStatsFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (topUnigramStatsBuilder_ == null) { + topUnigramStats_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + } else { + topUnigramStatsBuilder_.clear(); + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StringStats_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StringStats getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.StringStats.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StringStats build() { + com.google.cloud.automl.v1beta1.StringStats result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StringStats buildPartial() { + com.google.cloud.automl.v1beta1.StringStats result = + new com.google.cloud.automl.v1beta1.StringStats(this); + int from_bitField0_ = bitField0_; + if (topUnigramStatsBuilder_ == null) { + if (((bitField0_ & 0x00000001) != 0)) { + topUnigramStats_ = java.util.Collections.unmodifiableList(topUnigramStats_); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.topUnigramStats_ = topUnigramStats_; + } else { + result.topUnigramStats_ = topUnigramStatsBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.StringStats) { + return mergeFrom((com.google.cloud.automl.v1beta1.StringStats) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.StringStats other) { + if (other == com.google.cloud.automl.v1beta1.StringStats.getDefaultInstance()) return this; + if (topUnigramStatsBuilder_ == null) { + if (!other.topUnigramStats_.isEmpty()) { + if (topUnigramStats_.isEmpty()) { + topUnigramStats_ = other.topUnigramStats_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensureTopUnigramStatsIsMutable(); + topUnigramStats_.addAll(other.topUnigramStats_); + } + onChanged(); + } + } else { + if (!other.topUnigramStats_.isEmpty()) { + if (topUnigramStatsBuilder_.isEmpty()) { + topUnigramStatsBuilder_.dispose(); + topUnigramStatsBuilder_ = null; + topUnigramStats_ = other.topUnigramStats_; + bitField0_ = (bitField0_ & ~0x00000001); + topUnigramStatsBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getTopUnigramStatsFieldBuilder() + : null; + } else { + topUnigramStatsBuilder_.addAllMessages(other.topUnigramStats_); + } + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.StringStats parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.StringStats) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private java.util.List + topUnigramStats_ = java.util.Collections.emptyList(); + + private void ensureTopUnigramStatsIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + topUnigramStats_ = + new java.util.ArrayList( + topUnigramStats_); + bitField0_ |= 0x00000001; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.StringStats.UnigramStats, + com.google.cloud.automl.v1beta1.StringStats.UnigramStats.Builder, + com.google.cloud.automl.v1beta1.StringStats.UnigramStatsOrBuilder> + topUnigramStatsBuilder_; + + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public java.util.List + getTopUnigramStatsList() { + if (topUnigramStatsBuilder_ == null) { + return java.util.Collections.unmodifiableList(topUnigramStats_); + } else { + return topUnigramStatsBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public int getTopUnigramStatsCount() { + if (topUnigramStatsBuilder_ == null) { + return topUnigramStats_.size(); + } else { + return topUnigramStatsBuilder_.getCount(); + } + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.StringStats.UnigramStats getTopUnigramStats(int index) { + if (topUnigramStatsBuilder_ == null) { + return topUnigramStats_.get(index); + } else { + return topUnigramStatsBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public Builder setTopUnigramStats( + int index, com.google.cloud.automl.v1beta1.StringStats.UnigramStats value) { + if (topUnigramStatsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureTopUnigramStatsIsMutable(); + topUnigramStats_.set(index, value); + onChanged(); + } else { + topUnigramStatsBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public Builder setTopUnigramStats( + int index, + com.google.cloud.automl.v1beta1.StringStats.UnigramStats.Builder builderForValue) { + if (topUnigramStatsBuilder_ == null) { + ensureTopUnigramStatsIsMutable(); + topUnigramStats_.set(index, builderForValue.build()); + onChanged(); + } else { + topUnigramStatsBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public Builder addTopUnigramStats( + com.google.cloud.automl.v1beta1.StringStats.UnigramStats value) { + if (topUnigramStatsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureTopUnigramStatsIsMutable(); + topUnigramStats_.add(value); + onChanged(); + } else { + topUnigramStatsBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public Builder addTopUnigramStats( + int index, com.google.cloud.automl.v1beta1.StringStats.UnigramStats value) { + if (topUnigramStatsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureTopUnigramStatsIsMutable(); + topUnigramStats_.add(index, value); + onChanged(); + } else { + topUnigramStatsBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public Builder addTopUnigramStats( + com.google.cloud.automl.v1beta1.StringStats.UnigramStats.Builder builderForValue) { + if (topUnigramStatsBuilder_ == null) { + ensureTopUnigramStatsIsMutable(); + topUnigramStats_.add(builderForValue.build()); + onChanged(); + } else { + topUnigramStatsBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public Builder addTopUnigramStats( + int index, + com.google.cloud.automl.v1beta1.StringStats.UnigramStats.Builder builderForValue) { + if (topUnigramStatsBuilder_ == null) { + ensureTopUnigramStatsIsMutable(); + topUnigramStats_.add(index, builderForValue.build()); + onChanged(); + } else { + topUnigramStatsBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public Builder addAllTopUnigramStats( + java.lang.Iterable + values) { + if (topUnigramStatsBuilder_ == null) { + ensureTopUnigramStatsIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, topUnigramStats_); + onChanged(); + } else { + topUnigramStatsBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public Builder clearTopUnigramStats() { + if (topUnigramStatsBuilder_ == null) { + topUnigramStats_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + } else { + topUnigramStatsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public Builder removeTopUnigramStats(int index) { + if (topUnigramStatsBuilder_ == null) { + ensureTopUnigramStatsIsMutable(); + topUnigramStats_.remove(index); + onChanged(); + } else { + topUnigramStatsBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.StringStats.UnigramStats.Builder + getTopUnigramStatsBuilder(int index) { + return getTopUnigramStatsFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.StringStats.UnigramStatsOrBuilder + getTopUnigramStatsOrBuilder(int index) { + if (topUnigramStatsBuilder_ == null) { + return topUnigramStats_.get(index); + } else { + return topUnigramStatsBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public java.util.List< + ? extends com.google.cloud.automl.v1beta1.StringStats.UnigramStatsOrBuilder> + getTopUnigramStatsOrBuilderList() { + if (topUnigramStatsBuilder_ != null) { + return topUnigramStatsBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(topUnigramStats_); + } + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.StringStats.UnigramStats.Builder + addTopUnigramStatsBuilder() { + return getTopUnigramStatsFieldBuilder() + .addBuilder( + com.google.cloud.automl.v1beta1.StringStats.UnigramStats.getDefaultInstance()); + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.StringStats.UnigramStats.Builder + addTopUnigramStatsBuilder(int index) { + return getTopUnigramStatsFieldBuilder() + .addBuilder( + index, com.google.cloud.automl.v1beta1.StringStats.UnigramStats.getDefaultInstance()); + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public java.util.List + getTopUnigramStatsBuilderList() { + return getTopUnigramStatsFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.StringStats.UnigramStats, + com.google.cloud.automl.v1beta1.StringStats.UnigramStats.Builder, + com.google.cloud.automl.v1beta1.StringStats.UnigramStatsOrBuilder> + getTopUnigramStatsFieldBuilder() { + if (topUnigramStatsBuilder_ == null) { + topUnigramStatsBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.StringStats.UnigramStats, + com.google.cloud.automl.v1beta1.StringStats.UnigramStats.Builder, + com.google.cloud.automl.v1beta1.StringStats.UnigramStatsOrBuilder>( + topUnigramStats_, + ((bitField0_ & 0x00000001) != 0), + getParentForChildren(), + isClean()); + topUnigramStats_ = null; + } + return topUnigramStatsBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.StringStats) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.StringStats) + private static final com.google.cloud.automl.v1beta1.StringStats DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.StringStats(); + } + + public static com.google.cloud.automl.v1beta1.StringStats getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public StringStats parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new StringStats(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StringStats getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StringStatsOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StringStatsOrBuilder.java new file mode 100644 index 000000000..aa4802c2c --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StringStatsOrBuilder.java @@ -0,0 +1,88 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_stats.proto + +package com.google.cloud.automl.v1beta1; + +public interface StringStatsOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.StringStats) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * The statistics of the top 20 unigrams, ordered by
+   * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + java.util.List getTopUnigramStatsList(); + /** + * + * + * 
+   * The statistics of the top 20 unigrams, ordered by
+   * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + com.google.cloud.automl.v1beta1.StringStats.UnigramStats getTopUnigramStats(int index); + /** + * + * + * 
+   * The statistics of the top 20 unigrams, ordered by
+   * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + int getTopUnigramStatsCount(); + /** + * + * + * 
+   * The statistics of the top 20 unigrams, ordered by
+   * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + java.util.List + getTopUnigramStatsOrBuilderList(); + /** + * + * + * 
+   * The statistics of the top 20 unigrams, ordered by
+   * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + com.google.cloud.automl.v1beta1.StringStats.UnigramStatsOrBuilder getTopUnigramStatsOrBuilder( + int index); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructStats.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructStats.java new file mode 100644 index 000000000..2b77613c1 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructStats.java @@ -0,0 +1,808 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_stats.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * The data statistics of a series of STRUCT values.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.StructStats} + */ +public final class StructStats extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.StructStats) + StructStatsOrBuilder { + private static final long serialVersionUID = 0L; + // Use StructStats.newBuilder() to construct. + private StructStats(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private StructStats() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new StructStats(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private StructStats( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + fieldStats_ = + com.google.protobuf.MapField.newMapField( + FieldStatsDefaultEntryHolder.defaultEntry); + mutable_bitField0_ |= 0x00000001; + } + com.google.protobuf.MapEntry< + java.lang.String, com.google.cloud.automl.v1beta1.DataStats> + fieldStats__ = + input.readMessage( + FieldStatsDefaultEntryHolder.defaultEntry.getParserForType(), + extensionRegistry); + fieldStats_.getMutableMap().put(fieldStats__.getKey(), fieldStats__.getValue()); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StructStats_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + @java.lang.Override + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 1: + return internalGetFieldStats(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StructStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.StructStats.class, + com.google.cloud.automl.v1beta1.StructStats.Builder.class); + } + + public static final int FIELD_STATS_FIELD_NUMBER = 1; + + private static final class FieldStatsDefaultEntryHolder { + static final com.google.protobuf.MapEntry< + java.lang.String, com.google.cloud.automl.v1beta1.DataStats> + defaultEntry = + com.google.protobuf.MapEntry + .newDefaultInstance( + com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StructStats_FieldStatsEntry_descriptor, + com.google.protobuf.WireFormat.FieldType.STRING, + "", + com.google.protobuf.WireFormat.FieldType.MESSAGE, + com.google.cloud.automl.v1beta1.DataStats.getDefaultInstance()); + } + + private com.google.protobuf.MapField + fieldStats_; + + private com.google.protobuf.MapField + internalGetFieldStats() { + if (fieldStats_ == null) { + return com.google.protobuf.MapField.emptyMapField(FieldStatsDefaultEntryHolder.defaultEntry); + } + return fieldStats_; + } + + public int getFieldStatsCount() { + return internalGetFieldStats().getMap().size(); + } + /** + * + * + * 
+   * Map from a field name of the struct to data stats aggregated over series
+   * of all data in that field across all the structs.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + public boolean containsFieldStats(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetFieldStats().getMap().containsKey(key); + } + /** Use {@link #getFieldStatsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map + getFieldStats() { + return getFieldStatsMap(); + } + /** + * + * + * 
+   * Map from a field name of the struct to data stats aggregated over series
+   * of all data in that field across all the structs.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + public java.util.Map + getFieldStatsMap() { + return internalGetFieldStats().getMap(); + } + /** + * + * + * 
+   * Map from a field name of the struct to data stats aggregated over series
+   * of all data in that field across all the structs.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + public com.google.cloud.automl.v1beta1.DataStats getFieldStatsOrDefault( + java.lang.String key, com.google.cloud.automl.v1beta1.DataStats defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = + internalGetFieldStats().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+   * Map from a field name of the struct to data stats aggregated over series
+   * of all data in that field across all the structs.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + public com.google.cloud.automl.v1beta1.DataStats getFieldStatsOrThrow(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = + internalGetFieldStats().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + com.google.protobuf.GeneratedMessageV3.serializeStringMapTo( + output, internalGetFieldStats(), FieldStatsDefaultEntryHolder.defaultEntry, 1); + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + for (java.util.Map.Entry entry : + internalGetFieldStats().getMap().entrySet()) { + com.google.protobuf.MapEntry + fieldStats__ = + FieldStatsDefaultEntryHolder.defaultEntry + .newBuilderForType() + .setKey(entry.getKey()) + .setValue(entry.getValue()) + .build(); + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, fieldStats__); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.StructStats)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.StructStats other = + (com.google.cloud.automl.v1beta1.StructStats) obj; + + if (!internalGetFieldStats().equals(other.internalGetFieldStats())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (!internalGetFieldStats().getMap().isEmpty()) { + hash = (37 * hash) + FIELD_STATS_FIELD_NUMBER; + hash = (53 * hash) + internalGetFieldStats().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.StructStats parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.StructStats parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StructStats parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.StructStats parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StructStats parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.StructStats parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StructStats parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.StructStats parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StructStats parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.StructStats parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StructStats parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.StructStats parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.StructStats prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * The data statistics of a series of STRUCT values.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.StructStats} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.StructStats) + com.google.cloud.automl.v1beta1.StructStatsOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StructStats_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 1: + return internalGetFieldStats(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMutableMapField(int number) { + switch (number) { + case 1: + return internalGetMutableFieldStats(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StructStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.StructStats.class, + com.google.cloud.automl.v1beta1.StructStats.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.StructStats.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + internalGetMutableFieldStats().clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StructStats_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StructStats getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.StructStats.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StructStats build() { + com.google.cloud.automl.v1beta1.StructStats result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StructStats buildPartial() { + com.google.cloud.automl.v1beta1.StructStats result = + new com.google.cloud.automl.v1beta1.StructStats(this); + int from_bitField0_ = bitField0_; + result.fieldStats_ = internalGetFieldStats(); + result.fieldStats_.makeImmutable(); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.StructStats) { + return mergeFrom((com.google.cloud.automl.v1beta1.StructStats) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.StructStats other) { + if (other == com.google.cloud.automl.v1beta1.StructStats.getDefaultInstance()) return this; + internalGetMutableFieldStats().mergeFrom(other.internalGetFieldStats()); + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.StructStats parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.StructStats) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private com.google.protobuf.MapField< + java.lang.String, com.google.cloud.automl.v1beta1.DataStats> + fieldStats_; + + private com.google.protobuf.MapField< + java.lang.String, com.google.cloud.automl.v1beta1.DataStats> + internalGetFieldStats() { + if (fieldStats_ == null) { + return com.google.protobuf.MapField.emptyMapField( + FieldStatsDefaultEntryHolder.defaultEntry); + } + return fieldStats_; + } + + private com.google.protobuf.MapField< + java.lang.String, com.google.cloud.automl.v1beta1.DataStats> + internalGetMutableFieldStats() { + onChanged(); + ; + if (fieldStats_ == null) { + fieldStats_ = + com.google.protobuf.MapField.newMapField(FieldStatsDefaultEntryHolder.defaultEntry); + } + if (!fieldStats_.isMutable()) { + fieldStats_ = fieldStats_.copy(); + } + return fieldStats_; + } + + public int getFieldStatsCount() { + return internalGetFieldStats().getMap().size(); + } + /** + * + * + * 
+     * Map from a field name of the struct to data stats aggregated over series
+     * of all data in that field across all the structs.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + public boolean containsFieldStats(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetFieldStats().getMap().containsKey(key); + } + /** Use {@link #getFieldStatsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map + getFieldStats() { + return getFieldStatsMap(); + } + /** + * + * + * 
+     * Map from a field name of the struct to data stats aggregated over series
+     * of all data in that field across all the structs.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + public java.util.Map + getFieldStatsMap() { + return internalGetFieldStats().getMap(); + } + /** + * + * + * 
+     * Map from a field name of the struct to data stats aggregated over series
+     * of all data in that field across all the structs.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + public com.google.cloud.automl.v1beta1.DataStats getFieldStatsOrDefault( + java.lang.String key, com.google.cloud.automl.v1beta1.DataStats defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = + internalGetFieldStats().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+     * Map from a field name of the struct to data stats aggregated over series
+     * of all data in that field across all the structs.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + public com.google.cloud.automl.v1beta1.DataStats getFieldStatsOrThrow(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = + internalGetFieldStats().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + public Builder clearFieldStats() { + internalGetMutableFieldStats().getMutableMap().clear(); + return this; + } + /** + * + * + * 
+     * Map from a field name of the struct to data stats aggregated over series
+     * of all data in that field across all the structs.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + public Builder removeFieldStats(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableFieldStats().getMutableMap().remove(key); + return this; + } + /** Use alternate mutation accessors instead. */ + @java.lang.Deprecated + public java.util.Map + getMutableFieldStats() { + return internalGetMutableFieldStats().getMutableMap(); + } + /** + * + * + * 
+     * Map from a field name of the struct to data stats aggregated over series
+     * of all data in that field across all the structs.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + public Builder putFieldStats( + java.lang.String key, com.google.cloud.automl.v1beta1.DataStats value) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + if (value == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableFieldStats().getMutableMap().put(key, value); + return this; + } + /** + * + * + * 
+     * Map from a field name of the struct to data stats aggregated over series
+     * of all data in that field across all the structs.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + public Builder putAllFieldStats( + java.util.Map values) { + internalGetMutableFieldStats().getMutableMap().putAll(values); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.StructStats) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.StructStats) + private static final com.google.cloud.automl.v1beta1.StructStats DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.StructStats(); + } + + public static com.google.cloud.automl.v1beta1.StructStats getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public StructStats parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new StructStats(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StructStats getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructStatsOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructStatsOrBuilder.java new file mode 100644 index 000000000..8e438d41d --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructStatsOrBuilder.java @@ -0,0 +1,85 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_stats.proto + +package com.google.cloud.automl.v1beta1; + +public interface StructStatsOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.StructStats) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Map from a field name of the struct to data stats aggregated over series
+   * of all data in that field across all the structs.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + int getFieldStatsCount(); + /** + * + * + * 
+   * Map from a field name of the struct to data stats aggregated over series
+   * of all data in that field across all the structs.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + boolean containsFieldStats(java.lang.String key); + /** Use {@link #getFieldStatsMap()} instead. */ + @java.lang.Deprecated + java.util.Map getFieldStats(); + /** + * + * + * 
+   * Map from a field name of the struct to data stats aggregated over series
+   * of all data in that field across all the structs.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + java.util.Map getFieldStatsMap(); + /** + * + * + * 
+   * Map from a field name of the struct to data stats aggregated over series
+   * of all data in that field across all the structs.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + com.google.cloud.automl.v1beta1.DataStats getFieldStatsOrDefault( + java.lang.String key, com.google.cloud.automl.v1beta1.DataStats defaultValue); + /** + * + * + * 
+   * Map from a field name of the struct to data stats aggregated over series
+   * of all data in that field across all the structs.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + com.google.cloud.automl.v1beta1.DataStats getFieldStatsOrThrow(java.lang.String key); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructType.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructType.java new file mode 100644 index 000000000..b12d32e7e --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructType.java @@ -0,0 +1,809 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_types.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * `StructType` defines the DataType-s of a [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT] type.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.StructType} + */ +public final class StructType extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.StructType) + StructTypeOrBuilder { + private static final long serialVersionUID = 0L; + // Use StructType.newBuilder() to construct. + private StructType(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private StructType() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new StructType(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private StructType( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + fields_ = + com.google.protobuf.MapField.newMapField(FieldsDefaultEntryHolder.defaultEntry); + mutable_bitField0_ |= 0x00000001; + } + com.google.protobuf.MapEntry< + java.lang.String, com.google.cloud.automl.v1beta1.DataType> + fields__ = + input.readMessage( + FieldsDefaultEntryHolder.defaultEntry.getParserForType(), + extensionRegistry); + fields_.getMutableMap().put(fields__.getKey(), fields__.getValue()); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataTypes + .internal_static_google_cloud_automl_v1beta1_StructType_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + @java.lang.Override + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 1: + return internalGetFields(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataTypes + .internal_static_google_cloud_automl_v1beta1_StructType_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.StructType.class, + com.google.cloud.automl.v1beta1.StructType.Builder.class); + } + + public static final int FIELDS_FIELD_NUMBER = 1; + + private static final class FieldsDefaultEntryHolder { + static final com.google.protobuf.MapEntry< + java.lang.String, com.google.cloud.automl.v1beta1.DataType> + defaultEntry = + com.google.protobuf.MapEntry + .newDefaultInstance( + com.google.cloud.automl.v1beta1.DataTypes + .internal_static_google_cloud_automl_v1beta1_StructType_FieldsEntry_descriptor, + com.google.protobuf.WireFormat.FieldType.STRING, + "", + com.google.protobuf.WireFormat.FieldType.MESSAGE, + com.google.cloud.automl.v1beta1.DataType.getDefaultInstance()); + } + + private com.google.protobuf.MapField + fields_; + + private com.google.protobuf.MapField + internalGetFields() { + if (fields_ == null) { + return com.google.protobuf.MapField.emptyMapField(FieldsDefaultEntryHolder.defaultEntry); + } + return fields_; + } + + public int getFieldsCount() { + return internalGetFields().getMap().size(); + } + /** + * + * + * 
+   * Unordered map of struct field names to their data types.
+   * Fields cannot be added or removed via Update. Their names and
+   * data types are still mutable.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + public boolean containsFields(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetFields().getMap().containsKey(key); + } + /** Use {@link #getFieldsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map getFields() { + return getFieldsMap(); + } + /** + * + * + * 
+   * Unordered map of struct field names to their data types.
+   * Fields cannot be added or removed via Update. Their names and
+   * data types are still mutable.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + public java.util.Map getFieldsMap() { + return internalGetFields().getMap(); + } + /** + * + * + * 
+   * Unordered map of struct field names to their data types.
+   * Fields cannot be added or removed via Update. Their names and
+   * data types are still mutable.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + public com.google.cloud.automl.v1beta1.DataType getFieldsOrDefault( + java.lang.String key, com.google.cloud.automl.v1beta1.DataType defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = + internalGetFields().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+   * Unordered map of struct field names to their data types.
+   * Fields cannot be added or removed via Update. Their names and
+   * data types are still mutable.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + public com.google.cloud.automl.v1beta1.DataType getFieldsOrThrow(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = + internalGetFields().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + com.google.protobuf.GeneratedMessageV3.serializeStringMapTo( + output, internalGetFields(), FieldsDefaultEntryHolder.defaultEntry, 1); + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + for (java.util.Map.Entry entry : + internalGetFields().getMap().entrySet()) { + com.google.protobuf.MapEntry + fields__ = + FieldsDefaultEntryHolder.defaultEntry + .newBuilderForType() + .setKey(entry.getKey()) + .setValue(entry.getValue()) + .build(); + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, fields__); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.StructType)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.StructType other = + (com.google.cloud.automl.v1beta1.StructType) obj; + + if (!internalGetFields().equals(other.internalGetFields())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (!internalGetFields().getMap().isEmpty()) { + hash = (37 * hash) + FIELDS_FIELD_NUMBER; + hash = (53 * hash) + internalGetFields().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.StructType parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.StructType parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StructType parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.StructType parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StructType parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.StructType parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StructType parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.StructType parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StructType parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.StructType parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StructType parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.StructType parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.StructType prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * `StructType` defines the DataType-s of a [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT] type.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.StructType} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.StructType) + com.google.cloud.automl.v1beta1.StructTypeOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataTypes + .internal_static_google_cloud_automl_v1beta1_StructType_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 1: + return internalGetFields(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMutableMapField(int number) { + switch (number) { + case 1: + return internalGetMutableFields(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataTypes + .internal_static_google_cloud_automl_v1beta1_StructType_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.StructType.class, + com.google.cloud.automl.v1beta1.StructType.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.StructType.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + internalGetMutableFields().clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataTypes + .internal_static_google_cloud_automl_v1beta1_StructType_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StructType getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.StructType.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StructType build() { + com.google.cloud.automl.v1beta1.StructType result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StructType buildPartial() { + com.google.cloud.automl.v1beta1.StructType result = + new com.google.cloud.automl.v1beta1.StructType(this); + int from_bitField0_ = bitField0_; + result.fields_ = internalGetFields(); + result.fields_.makeImmutable(); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.StructType) { + return mergeFrom((com.google.cloud.automl.v1beta1.StructType) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.StructType other) { + if (other == com.google.cloud.automl.v1beta1.StructType.getDefaultInstance()) return this; + internalGetMutableFields().mergeFrom(other.internalGetFields()); + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.StructType parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.StructType) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private com.google.protobuf.MapField + fields_; + + private com.google.protobuf.MapField + internalGetFields() { + if (fields_ == null) { + return com.google.protobuf.MapField.emptyMapField(FieldsDefaultEntryHolder.defaultEntry); + } + return fields_; + } + + private com.google.protobuf.MapField + internalGetMutableFields() { + onChanged(); + ; + if (fields_ == null) { + fields_ = com.google.protobuf.MapField.newMapField(FieldsDefaultEntryHolder.defaultEntry); + } + if (!fields_.isMutable()) { + fields_ = fields_.copy(); + } + return fields_; + } + + public int getFieldsCount() { + return internalGetFields().getMap().size(); + } + /** + * + * + * 
+     * Unordered map of struct field names to their data types.
+     * Fields cannot be added or removed via Update. Their names and
+     * data types are still mutable.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + public boolean containsFields(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetFields().getMap().containsKey(key); + } + /** Use {@link #getFieldsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map getFields() { + return getFieldsMap(); + } + /** + * + * + * 
+     * Unordered map of struct field names to their data types.
+     * Fields cannot be added or removed via Update. Their names and
+     * data types are still mutable.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + public java.util.Map + getFieldsMap() { + return internalGetFields().getMap(); + } + /** + * + * + * 
+     * Unordered map of struct field names to their data types.
+     * Fields cannot be added or removed via Update. Their names and
+     * data types are still mutable.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + public com.google.cloud.automl.v1beta1.DataType getFieldsOrDefault( + java.lang.String key, com.google.cloud.automl.v1beta1.DataType defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = + internalGetFields().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+     * Unordered map of struct field names to their data types.
+     * Fields cannot be added or removed via Update. Their names and
+     * data types are still mutable.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + public com.google.cloud.automl.v1beta1.DataType getFieldsOrThrow(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = + internalGetFields().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + public Builder clearFields() { + internalGetMutableFields().getMutableMap().clear(); + return this; + } + /** + * + * + * 
+     * Unordered map of struct field names to their data types.
+     * Fields cannot be added or removed via Update. Their names and
+     * data types are still mutable.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + public Builder removeFields(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableFields().getMutableMap().remove(key); + return this; + } + /** Use alternate mutation accessors instead. */ + @java.lang.Deprecated + public java.util.Map + getMutableFields() { + return internalGetMutableFields().getMutableMap(); + } + /** + * + * + * 
+     * Unordered map of struct field names to their data types.
+     * Fields cannot be added or removed via Update. Their names and
+     * data types are still mutable.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + public Builder putFields(java.lang.String key, com.google.cloud.automl.v1beta1.DataType value) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + if (value == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableFields().getMutableMap().put(key, value); + return this; + } + /** + * + * + * 
+     * Unordered map of struct field names to their data types.
+     * Fields cannot be added or removed via Update. Their names and
+     * data types are still mutable.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + public Builder putAllFields( + java.util.Map values) { + internalGetMutableFields().getMutableMap().putAll(values); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.StructType) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.StructType) + private static final com.google.cloud.automl.v1beta1.StructType DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.StructType(); + } + + public static com.google.cloud.automl.v1beta1.StructType getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public StructType parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new StructType(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StructType getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructTypeOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructTypeOrBuilder.java new file mode 100644 index 000000000..2c8e42cc5 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructTypeOrBuilder.java @@ -0,0 +1,90 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_types.proto + +package com.google.cloud.automl.v1beta1; + +public interface StructTypeOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.StructType) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Unordered map of struct field names to their data types.
+   * Fields cannot be added or removed via Update. Their names and
+   * data types are still mutable.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + int getFieldsCount(); + /** + * + * + * 
+   * Unordered map of struct field names to their data types.
+   * Fields cannot be added or removed via Update. Their names and
+   * data types are still mutable.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + boolean containsFields(java.lang.String key); + /** Use {@link #getFieldsMap()} instead. */ + @java.lang.Deprecated + java.util.Map getFields(); + /** + * + * + * 
+   * Unordered map of struct field names to their data types.
+   * Fields cannot be added or removed via Update. Their names and
+   * data types are still mutable.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + java.util.Map getFieldsMap(); + /** + * + * + * 
+   * Unordered map of struct field names to their data types.
+   * Fields cannot be added or removed via Update. Their names and
+   * data types are still mutable.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + com.google.cloud.automl.v1beta1.DataType getFieldsOrDefault( + java.lang.String key, com.google.cloud.automl.v1beta1.DataType defaultValue); + /** + * + * + * 
+   * Unordered map of struct field names to their data types.
+   * Fields cannot be added or removed via Update. Their names and
+   * data types are still mutable.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + com.google.cloud.automl.v1beta1.DataType getFieldsOrThrow(java.lang.String key); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpec.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpec.java new file mode 100644 index 000000000..6791ba3a9 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpec.java @@ -0,0 +1,1858 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/table_spec.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * A specification of a relational table.
+ * The table's schema is represented via its child column specs. It is
+ * pre-populated as part of ImportData by schema inference algorithm, the
+ * version of which is a required parameter of ImportData InputConfig.
+ * Note: While working with a table, at times the schema may be
+ * inconsistent with the data in the table (e.g. string in a FLOAT64 column).
+ * The consistency validation is done upon creation of a model.
+ * Used by:
+ *   *   Tables
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TableSpec} + */ +public final class TableSpec extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TableSpec) + TableSpecOrBuilder { + private static final long serialVersionUID = 0L; + // Use TableSpec.newBuilder() to construct. + private TableSpec(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TableSpec() { + name_ = ""; + timeColumnSpecId_ = ""; + inputConfigs_ = java.util.Collections.emptyList(); + etag_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new TableSpec(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TableSpec( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + name_ = s; + break; + } + case 18: + { + java.lang.String s = input.readStringRequireUtf8(); + + timeColumnSpecId_ = s; + break; + } + case 24: + { + rowCount_ = input.readInt64(); + break; + } + case 32: + { + validRowCount_ = input.readInt64(); + break; + } + case 42: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + inputConfigs_ = + new java.util.ArrayList(); + mutable_bitField0_ |= 0x00000001; + } + inputConfigs_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.InputConfig.parser(), extensionRegistry)); + break; + } + case 50: + { + java.lang.String s = input.readStringRequireUtf8(); + + etag_ = s; + break; + } + case 56: + { + columnCount_ = input.readInt64(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + inputConfigs_ = java.util.Collections.unmodifiableList(inputConfigs_); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TableSpecOuterClass + .internal_static_google_cloud_automl_v1beta1_TableSpec_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TableSpecOuterClass + .internal_static_google_cloud_automl_v1beta1_TableSpec_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TableSpec.class, + com.google.cloud.automl.v1beta1.TableSpec.Builder.class); + } + + public static final int NAME_FIELD_NUMBER = 1; + private volatile java.lang.Object name_; + /** + * + * + * 
+   * Output only. The resource name of the table spec.
+   * Form:
+   * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}`
+   *
+ * + * string name = 1; + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } + } + /** + * + * + * 
+   * Output only. The resource name of the table spec.
+   * Form:
+   * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}`
+   *
+ * + * string name = 1; + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int TIME_COLUMN_SPEC_ID_FIELD_NUMBER = 2; + private volatile java.lang.Object timeColumnSpecId_; + /** + * + * + * 
+   * column_spec_id of the time column. Only used if the parent dataset's
+   * ml_use_column_spec_id is not set. Used to split rows into TRAIN, VALIDATE
+   * and TEST sets such that oldest rows go to TRAIN set, newest to TEST, and
+   * those in between to VALIDATE.
+   * Required type: TIMESTAMP.
+   * If both this column and ml_use_column are not set, then ML use of all rows
+   * will be assigned by AutoML. NOTE: Updates of this field will instantly
+   * affect any other users concurrently working with the dataset.
+   *
+ * + * string time_column_spec_id = 2; + * + * @return The timeColumnSpecId. + */ + public java.lang.String getTimeColumnSpecId() { + java.lang.Object ref = timeColumnSpecId_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + timeColumnSpecId_ = s; + return s; + } + } + /** + * + * + * 
+   * column_spec_id of the time column. Only used if the parent dataset's
+   * ml_use_column_spec_id is not set. Used to split rows into TRAIN, VALIDATE
+   * and TEST sets such that oldest rows go to TRAIN set, newest to TEST, and
+   * those in between to VALIDATE.
+   * Required type: TIMESTAMP.
+   * If both this column and ml_use_column are not set, then ML use of all rows
+   * will be assigned by AutoML. NOTE: Updates of this field will instantly
+   * affect any other users concurrently working with the dataset.
+   *
+ * + * string time_column_spec_id = 2; + * + * @return The bytes for timeColumnSpecId. + */ + public com.google.protobuf.ByteString getTimeColumnSpecIdBytes() { + java.lang.Object ref = timeColumnSpecId_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + timeColumnSpecId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int ROW_COUNT_FIELD_NUMBER = 3; + private long rowCount_; + /** + * + * + * 
+   * Output only. The number of rows (i.e. examples) in the table.
+   *
+ * + * int64 row_count = 3; + * + * @return The rowCount. + */ + public long getRowCount() { + return rowCount_; + } + + public static final int VALID_ROW_COUNT_FIELD_NUMBER = 4; + private long validRowCount_; + /** + * + * + * 
+   * Output only. The number of valid rows (i.e. without values that don't match
+   * DataType-s of their columns).
+   *
+ * + * int64 valid_row_count = 4; + * + * @return The validRowCount. + */ + public long getValidRowCount() { + return validRowCount_; + } + + public static final int COLUMN_COUNT_FIELD_NUMBER = 7; + private long columnCount_; + /** + * + * + * 
+   * Output only. The number of columns of the table. That is, the number of
+   * child ColumnSpec-s.
+   *
+ * + * int64 column_count = 7; + * + * @return The columnCount. + */ + public long getColumnCount() { + return columnCount_; + } + + public static final int INPUT_CONFIGS_FIELD_NUMBER = 5; + private java.util.List inputConfigs_; + /** + * + * + * 
+   * Output only. Input configs via which data currently residing in the table
+   * had been imported.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public java.util.List getInputConfigsList() { + return inputConfigs_; + } + /** + * + * + * 
+   * Output only. Input configs via which data currently residing in the table
+   * had been imported.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public java.util.List + getInputConfigsOrBuilderList() { + return inputConfigs_; + } + /** + * + * + * 
+   * Output only. Input configs via which data currently residing in the table
+   * had been imported.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public int getInputConfigsCount() { + return inputConfigs_.size(); + } + /** + * + * + * 
+   * Output only. Input configs via which data currently residing in the table
+   * had been imported.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public com.google.cloud.automl.v1beta1.InputConfig getInputConfigs(int index) { + return inputConfigs_.get(index); + } + /** + * + * + * 
+   * Output only. Input configs via which data currently residing in the table
+   * had been imported.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public com.google.cloud.automl.v1beta1.InputConfigOrBuilder getInputConfigsOrBuilder(int index) { + return inputConfigs_.get(index); + } + + public static final int ETAG_FIELD_NUMBER = 6; + private volatile java.lang.Object etag_; + /** + * + * + * 
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   *
+ * + * string etag = 6; + * + * @return The etag. + */ + public java.lang.String getEtag() { + java.lang.Object ref = etag_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + etag_ = s; + return s; + } + } + /** + * + * + * 
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   *
+ * + * string etag = 6; + * + * @return The bytes for etag. + */ + public com.google.protobuf.ByteString getEtagBytes() { + java.lang.Object ref = etag_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + etag_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_); + } + if (!getTimeColumnSpecIdBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 2, timeColumnSpecId_); + } + if (rowCount_ != 0L) { + output.writeInt64(3, rowCount_); + } + if (validRowCount_ != 0L) { + output.writeInt64(4, validRowCount_); + } + for (int i = 0; i < inputConfigs_.size(); i++) { + output.writeMessage(5, inputConfigs_.get(i)); + } + if (!getEtagBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 6, etag_); + } + if (columnCount_ != 0L) { + output.writeInt64(7, columnCount_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_); + } + if (!getTimeColumnSpecIdBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, timeColumnSpecId_); + } + if (rowCount_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(3, rowCount_); + } + if (validRowCount_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(4, validRowCount_); + } + for (int i = 0; i < inputConfigs_.size(); i++) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(5, inputConfigs_.get(i)); + } + if (!getEtagBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(6, etag_); + } + if (columnCount_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(7, columnCount_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TableSpec)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TableSpec other = + (com.google.cloud.automl.v1beta1.TableSpec) obj; + + if (!getName().equals(other.getName())) return false; + if (!getTimeColumnSpecId().equals(other.getTimeColumnSpecId())) return false; + if (getRowCount() != other.getRowCount()) return false; + if (getValidRowCount() != other.getValidRowCount()) return false; + if (getColumnCount() != other.getColumnCount()) return false; + if (!getInputConfigsList().equals(other.getInputConfigsList())) return false; + if (!getEtag().equals(other.getEtag())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + NAME_FIELD_NUMBER; + hash = (53 * hash) + getName().hashCode(); + hash = (37 * hash) + TIME_COLUMN_SPEC_ID_FIELD_NUMBER; + hash = (53 * hash) + getTimeColumnSpecId().hashCode(); + hash = (37 * hash) + ROW_COUNT_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getRowCount()); + hash = (37 * hash) + VALID_ROW_COUNT_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getValidRowCount()); + hash = (37 * hash) + COLUMN_COUNT_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getColumnCount()); + if (getInputConfigsCount() > 0) { + hash = (37 * hash) + INPUT_CONFIGS_FIELD_NUMBER; + hash = (53 * hash) + getInputConfigsList().hashCode(); + } + hash = (37 * hash) + ETAG_FIELD_NUMBER; + hash = (53 * hash) + getEtag().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TableSpec parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TableSpec parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TableSpec parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TableSpec parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TableSpec parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TableSpec parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TableSpec parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TableSpec parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TableSpec parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TableSpec parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TableSpec parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TableSpec parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.TableSpec prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * A specification of a relational table.
+   * The table's schema is represented via its child column specs. It is
+   * pre-populated as part of ImportData by schema inference algorithm, the
+   * version of which is a required parameter of ImportData InputConfig.
+   * Note: While working with a table, at times the schema may be
+   * inconsistent with the data in the table (e.g. string in a FLOAT64 column).
+   * The consistency validation is done upon creation of a model.
+   * Used by:
+   *   *   Tables
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TableSpec} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TableSpec) + com.google.cloud.automl.v1beta1.TableSpecOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TableSpecOuterClass + .internal_static_google_cloud_automl_v1beta1_TableSpec_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TableSpecOuterClass + .internal_static_google_cloud_automl_v1beta1_TableSpec_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TableSpec.class, + com.google.cloud.automl.v1beta1.TableSpec.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TableSpec.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getInputConfigsFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + name_ = ""; + + timeColumnSpecId_ = ""; + + rowCount_ = 0L; + + validRowCount_ = 0L; + + columnCount_ = 0L; + + if (inputConfigsBuilder_ == null) { + inputConfigs_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + } else { + inputConfigsBuilder_.clear(); + } + etag_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TableSpecOuterClass + .internal_static_google_cloud_automl_v1beta1_TableSpec_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TableSpec getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TableSpec.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TableSpec build() { + com.google.cloud.automl.v1beta1.TableSpec result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TableSpec buildPartial() { + com.google.cloud.automl.v1beta1.TableSpec result = + new com.google.cloud.automl.v1beta1.TableSpec(this); + int from_bitField0_ = bitField0_; + result.name_ = name_; + result.timeColumnSpecId_ = timeColumnSpecId_; + result.rowCount_ = rowCount_; + result.validRowCount_ = validRowCount_; + result.columnCount_ = columnCount_; + if (inputConfigsBuilder_ == null) { + if (((bitField0_ & 0x00000001) != 0)) { + inputConfigs_ = java.util.Collections.unmodifiableList(inputConfigs_); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.inputConfigs_ = inputConfigs_; + } else { + result.inputConfigs_ = inputConfigsBuilder_.build(); + } + result.etag_ = etag_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TableSpec) { + return mergeFrom((com.google.cloud.automl.v1beta1.TableSpec) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TableSpec other) { + if (other == com.google.cloud.automl.v1beta1.TableSpec.getDefaultInstance()) return this; + if (!other.getName().isEmpty()) { + name_ = other.name_; + onChanged(); + } + if (!other.getTimeColumnSpecId().isEmpty()) { + timeColumnSpecId_ = other.timeColumnSpecId_; + onChanged(); + } + if (other.getRowCount() != 0L) { + setRowCount(other.getRowCount()); + } + if (other.getValidRowCount() != 0L) { + setValidRowCount(other.getValidRowCount()); + } + if (other.getColumnCount() != 0L) { + setColumnCount(other.getColumnCount()); + } + if (inputConfigsBuilder_ == null) { + if (!other.inputConfigs_.isEmpty()) { + if (inputConfigs_.isEmpty()) { + inputConfigs_ = other.inputConfigs_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensureInputConfigsIsMutable(); + inputConfigs_.addAll(other.inputConfigs_); + } + onChanged(); + } + } else { + if (!other.inputConfigs_.isEmpty()) { + if (inputConfigsBuilder_.isEmpty()) { + inputConfigsBuilder_.dispose(); + inputConfigsBuilder_ = null; + inputConfigs_ = other.inputConfigs_; + bitField0_ = (bitField0_ & ~0x00000001); + inputConfigsBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getInputConfigsFieldBuilder() + : null; + } else { + inputConfigsBuilder_.addAllMessages(other.inputConfigs_); + } + } + } + if (!other.getEtag().isEmpty()) { + etag_ = other.etag_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TableSpec parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.TableSpec) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private java.lang.Object name_ = ""; + /** + * + * + * 
+     * Output only. The resource name of the table spec.
+     * Form:
+     * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}`
+     *
+ * + * string name = 1; + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Output only. The resource name of the table spec.
+     * Form:
+     * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}`
+     *
+ * + * string name = 1; + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Output only. The resource name of the table spec.
+     * Form:
+     * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}`
+     *
+ * + * string name = 1; + * + * @param value The name to set. + * @return This builder for chaining. + */ + public Builder setName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + name_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The resource name of the table spec.
+     * Form:
+     * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}`
+     *
+ * + * string name = 1; + * + * @return This builder for chaining. + */ + public Builder clearName() { + + name_ = getDefaultInstance().getName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The resource name of the table spec.
+     * Form:
+     * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}`
+     *
+ * + * string name = 1; + * + * @param value The bytes for name to set. + * @return This builder for chaining. + */ + public Builder setNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + name_ = value; + onChanged(); + return this; + } + + private java.lang.Object timeColumnSpecId_ = ""; + /** + * + * + * 
+     * column_spec_id of the time column. Only used if the parent dataset's
+     * ml_use_column_spec_id is not set. Used to split rows into TRAIN, VALIDATE
+     * and TEST sets such that oldest rows go to TRAIN set, newest to TEST, and
+     * those in between to VALIDATE.
+     * Required type: TIMESTAMP.
+     * If both this column and ml_use_column are not set, then ML use of all rows
+     * will be assigned by AutoML. NOTE: Updates of this field will instantly
+     * affect any other users concurrently working with the dataset.
+     *
+ * + * string time_column_spec_id = 2; + * + * @return The timeColumnSpecId. + */ + public java.lang.String getTimeColumnSpecId() { + java.lang.Object ref = timeColumnSpecId_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + timeColumnSpecId_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * column_spec_id of the time column. Only used if the parent dataset's
+     * ml_use_column_spec_id is not set. Used to split rows into TRAIN, VALIDATE
+     * and TEST sets such that oldest rows go to TRAIN set, newest to TEST, and
+     * those in between to VALIDATE.
+     * Required type: TIMESTAMP.
+     * If both this column and ml_use_column are not set, then ML use of all rows
+     * will be assigned by AutoML. NOTE: Updates of this field will instantly
+     * affect any other users concurrently working with the dataset.
+     *
+ * + * string time_column_spec_id = 2; + * + * @return The bytes for timeColumnSpecId. + */ + public com.google.protobuf.ByteString getTimeColumnSpecIdBytes() { + java.lang.Object ref = timeColumnSpecId_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + timeColumnSpecId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * column_spec_id of the time column. Only used if the parent dataset's
+     * ml_use_column_spec_id is not set. Used to split rows into TRAIN, VALIDATE
+     * and TEST sets such that oldest rows go to TRAIN set, newest to TEST, and
+     * those in between to VALIDATE.
+     * Required type: TIMESTAMP.
+     * If both this column and ml_use_column are not set, then ML use of all rows
+     * will be assigned by AutoML. NOTE: Updates of this field will instantly
+     * affect any other users concurrently working with the dataset.
+     *
+ * + * string time_column_spec_id = 2; + * + * @param value The timeColumnSpecId to set. + * @return This builder for chaining. + */ + public Builder setTimeColumnSpecId(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + timeColumnSpecId_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * column_spec_id of the time column. Only used if the parent dataset's
+     * ml_use_column_spec_id is not set. Used to split rows into TRAIN, VALIDATE
+     * and TEST sets such that oldest rows go to TRAIN set, newest to TEST, and
+     * those in between to VALIDATE.
+     * Required type: TIMESTAMP.
+     * If both this column and ml_use_column are not set, then ML use of all rows
+     * will be assigned by AutoML. NOTE: Updates of this field will instantly
+     * affect any other users concurrently working with the dataset.
+     *
+ * + * string time_column_spec_id = 2; + * + * @return This builder for chaining. + */ + public Builder clearTimeColumnSpecId() { + + timeColumnSpecId_ = getDefaultInstance().getTimeColumnSpecId(); + onChanged(); + return this; + } + /** + * + * + * 
+     * column_spec_id of the time column. Only used if the parent dataset's
+     * ml_use_column_spec_id is not set. Used to split rows into TRAIN, VALIDATE
+     * and TEST sets such that oldest rows go to TRAIN set, newest to TEST, and
+     * those in between to VALIDATE.
+     * Required type: TIMESTAMP.
+     * If both this column and ml_use_column are not set, then ML use of all rows
+     * will be assigned by AutoML. NOTE: Updates of this field will instantly
+     * affect any other users concurrently working with the dataset.
+     *
+ * + * string time_column_spec_id = 2; + * + * @param value The bytes for timeColumnSpecId to set. + * @return This builder for chaining. + */ + public Builder setTimeColumnSpecIdBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + timeColumnSpecId_ = value; + onChanged(); + return this; + } + + private long rowCount_; + /** + * + * + * 
+     * Output only. The number of rows (i.e. examples) in the table.
+     *
+ * + * int64 row_count = 3; + * + * @return The rowCount. + */ + public long getRowCount() { + return rowCount_; + } + /** + * + * + * 
+     * Output only. The number of rows (i.e. examples) in the table.
+     *
+ * + * int64 row_count = 3; + * + * @param value The rowCount to set. + * @return This builder for chaining. + */ + public Builder setRowCount(long value) { + + rowCount_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The number of rows (i.e. examples) in the table.
+     *
+ * + * int64 row_count = 3; + * + * @return This builder for chaining. + */ + public Builder clearRowCount() { + + rowCount_ = 0L; + onChanged(); + return this; + } + + private long validRowCount_; + /** + * + * + * 
+     * Output only. The number of valid rows (i.e. without values that don't match
+     * DataType-s of their columns).
+     *
+ * + * int64 valid_row_count = 4; + * + * @return The validRowCount. + */ + public long getValidRowCount() { + return validRowCount_; + } + /** + * + * + * 
+     * Output only. The number of valid rows (i.e. without values that don't match
+     * DataType-s of their columns).
+     *
+ * + * int64 valid_row_count = 4; + * + * @param value The validRowCount to set. + * @return This builder for chaining. + */ + public Builder setValidRowCount(long value) { + + validRowCount_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The number of valid rows (i.e. without values that don't match
+     * DataType-s of their columns).
+     *
+ * + * int64 valid_row_count = 4; + * + * @return This builder for chaining. + */ + public Builder clearValidRowCount() { + + validRowCount_ = 0L; + onChanged(); + return this; + } + + private long columnCount_; + /** + * + * + * 
+     * Output only. The number of columns of the table. That is, the number of
+     * child ColumnSpec-s.
+     *
+ * + * int64 column_count = 7; + * + * @return The columnCount. + */ + public long getColumnCount() { + return columnCount_; + } + /** + * + * + * 
+     * Output only. The number of columns of the table. That is, the number of
+     * child ColumnSpec-s.
+     *
+ * + * int64 column_count = 7; + * + * @param value The columnCount to set. + * @return This builder for chaining. + */ + public Builder setColumnCount(long value) { + + columnCount_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The number of columns of the table. That is, the number of
+     * child ColumnSpec-s.
+     *
+ * + * int64 column_count = 7; + * + * @return This builder for chaining. + */ + public Builder clearColumnCount() { + + columnCount_ = 0L; + onChanged(); + return this; + } + + private java.util.List inputConfigs_ = + java.util.Collections.emptyList(); + + private void ensureInputConfigsIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + inputConfigs_ = + new java.util.ArrayList(inputConfigs_); + bitField0_ |= 0x00000001; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.InputConfig, + com.google.cloud.automl.v1beta1.InputConfig.Builder, + com.google.cloud.automl.v1beta1.InputConfigOrBuilder> + inputConfigsBuilder_; + + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public java.util.List getInputConfigsList() { + if (inputConfigsBuilder_ == null) { + return java.util.Collections.unmodifiableList(inputConfigs_); + } else { + return inputConfigsBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public int getInputConfigsCount() { + if (inputConfigsBuilder_ == null) { + return inputConfigs_.size(); + } else { + return inputConfigsBuilder_.getCount(); + } + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public com.google.cloud.automl.v1beta1.InputConfig getInputConfigs(int index) { + if (inputConfigsBuilder_ == null) { + return inputConfigs_.get(index); + } else { + return inputConfigsBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public Builder setInputConfigs(int index, com.google.cloud.automl.v1beta1.InputConfig value) { + if (inputConfigsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureInputConfigsIsMutable(); + inputConfigs_.set(index, value); + onChanged(); + } else { + inputConfigsBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public Builder setInputConfigs( + int index, com.google.cloud.automl.v1beta1.InputConfig.Builder builderForValue) { + if (inputConfigsBuilder_ == null) { + ensureInputConfigsIsMutable(); + inputConfigs_.set(index, builderForValue.build()); + onChanged(); + } else { + inputConfigsBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public Builder addInputConfigs(com.google.cloud.automl.v1beta1.InputConfig value) { + if (inputConfigsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureInputConfigsIsMutable(); + inputConfigs_.add(value); + onChanged(); + } else { + inputConfigsBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public Builder addInputConfigs(int index, com.google.cloud.automl.v1beta1.InputConfig value) { + if (inputConfigsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureInputConfigsIsMutable(); + inputConfigs_.add(index, value); + onChanged(); + } else { + inputConfigsBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public Builder addInputConfigs( + com.google.cloud.automl.v1beta1.InputConfig.Builder builderForValue) { + if (inputConfigsBuilder_ == null) { + ensureInputConfigsIsMutable(); + inputConfigs_.add(builderForValue.build()); + onChanged(); + } else { + inputConfigsBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public Builder addInputConfigs( + int index, com.google.cloud.automl.v1beta1.InputConfig.Builder builderForValue) { + if (inputConfigsBuilder_ == null) { + ensureInputConfigsIsMutable(); + inputConfigs_.add(index, builderForValue.build()); + onChanged(); + } else { + inputConfigsBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public Builder addAllInputConfigs( + java.lang.Iterable values) { + if (inputConfigsBuilder_ == null) { + ensureInputConfigsIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, inputConfigs_); + onChanged(); + } else { + inputConfigsBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public Builder clearInputConfigs() { + if (inputConfigsBuilder_ == null) { + inputConfigs_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + } else { + inputConfigsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public Builder removeInputConfigs(int index) { + if (inputConfigsBuilder_ == null) { + ensureInputConfigsIsMutable(); + inputConfigs_.remove(index); + onChanged(); + } else { + inputConfigsBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public com.google.cloud.automl.v1beta1.InputConfig.Builder getInputConfigsBuilder(int index) { + return getInputConfigsFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public com.google.cloud.automl.v1beta1.InputConfigOrBuilder getInputConfigsOrBuilder( + int index) { + if (inputConfigsBuilder_ == null) { + return inputConfigs_.get(index); + } else { + return inputConfigsBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public java.util.List + getInputConfigsOrBuilderList() { + if (inputConfigsBuilder_ != null) { + return inputConfigsBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(inputConfigs_); + } + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public com.google.cloud.automl.v1beta1.InputConfig.Builder addInputConfigsBuilder() { + return getInputConfigsFieldBuilder() + .addBuilder(com.google.cloud.automl.v1beta1.InputConfig.getDefaultInstance()); + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public com.google.cloud.automl.v1beta1.InputConfig.Builder addInputConfigsBuilder(int index) { + return getInputConfigsFieldBuilder() + .addBuilder(index, com.google.cloud.automl.v1beta1.InputConfig.getDefaultInstance()); + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public java.util.List + getInputConfigsBuilderList() { + return getInputConfigsFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.InputConfig, + com.google.cloud.automl.v1beta1.InputConfig.Builder, + com.google.cloud.automl.v1beta1.InputConfigOrBuilder> + getInputConfigsFieldBuilder() { + if (inputConfigsBuilder_ == null) { + inputConfigsBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.InputConfig, + com.google.cloud.automl.v1beta1.InputConfig.Builder, + com.google.cloud.automl.v1beta1.InputConfigOrBuilder>( + inputConfigs_, ((bitField0_ & 0x00000001) != 0), getParentForChildren(), isClean()); + inputConfigs_ = null; + } + return inputConfigsBuilder_; + } + + private java.lang.Object etag_ = ""; + /** + * + * + * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     *
+ * + * string etag = 6; + * + * @return The etag. + */ + public java.lang.String getEtag() { + java.lang.Object ref = etag_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + etag_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     *
+ * + * string etag = 6; + * + * @return The bytes for etag. + */ + public com.google.protobuf.ByteString getEtagBytes() { + java.lang.Object ref = etag_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + etag_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     *
+ * + * string etag = 6; + * + * @param value The etag to set. + * @return This builder for chaining. + */ + public Builder setEtag(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + etag_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     *
+ * + * string etag = 6; + * + * @return This builder for chaining. + */ + public Builder clearEtag() { + + etag_ = getDefaultInstance().getEtag(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     *
+ * + * string etag = 6; + * + * @param value The bytes for etag to set. + * @return This builder for chaining. + */ + public Builder setEtagBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + etag_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TableSpec) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TableSpec) + private static final com.google.cloud.automl.v1beta1.TableSpec DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TableSpec(); + } + + public static com.google.cloud.automl.v1beta1.TableSpec getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TableSpec parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TableSpec(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TableSpec getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpecName.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpecName.java new file mode 100644 index 000000000..77b1685cb --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpecName.java @@ -0,0 +1,243 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package com.google.cloud.automl.v1beta1; + +import com.google.api.pathtemplate.PathTemplate; +import com.google.api.resourcenames.ResourceName; +import com.google.common.base.Preconditions; +import com.google.common.collect.ImmutableMap; +import java.util.ArrayList; +import java.util.List; +import java.util.Map; + +/** AUTO-GENERATED DOCUMENTATION AND CLASS */ +@javax.annotation.Generated("by GAPIC protoc plugin") +public class TableSpecName implements ResourceName { + + private static final PathTemplate PATH_TEMPLATE = + PathTemplate.createWithoutUrlEncoding( + "projects/{project}/locations/{location}/datasets/{dataset}/tableSpecs/{table_spec}"); + + private volatile Map fieldValuesMap; + + private final String project; + private final String location; + private final String dataset; + private final String tableSpec; + + public String getProject() { + return project; + } + + public String getLocation() { + return location; + } + + public String getDataset() { + return dataset; + } + + public String getTableSpec() { + return tableSpec; + } + + public static Builder newBuilder() { + return new Builder(); + } + + public Builder toBuilder() { + return new Builder(this); + } + + private TableSpecName(Builder builder) { + project = Preconditions.checkNotNull(builder.getProject()); + location = Preconditions.checkNotNull(builder.getLocation()); + dataset = Preconditions.checkNotNull(builder.getDataset()); + tableSpec = Preconditions.checkNotNull(builder.getTableSpec()); + } + + public static TableSpecName of( + String project, String location, String dataset, String tableSpec) { + return newBuilder() + .setProject(project) + .setLocation(location) + .setDataset(dataset) + .setTableSpec(tableSpec) + .build(); + } + + public static String format(String project, String location, String dataset, String tableSpec) { + return newBuilder() + .setProject(project) + .setLocation(location) + .setDataset(dataset) + .setTableSpec(tableSpec) + .build() + .toString(); + } + + public static TableSpecName parse(String formattedString) { + if (formattedString.isEmpty()) { + return null; + } + Map matchMap = + PATH_TEMPLATE.validatedMatch( + formattedString, "TableSpecName.parse: formattedString not in valid format"); + return of( + matchMap.get("project"), + matchMap.get("location"), + matchMap.get("dataset"), + matchMap.get("table_spec")); + } + + public static List parseList(List formattedStrings) { + List list = new ArrayList<>(formattedStrings.size()); + for (String formattedString : formattedStrings) { + list.add(parse(formattedString)); + } + return list; + } + + public static List toStringList(List values) { + List list = new ArrayList(values.size()); + for (TableSpecName value : values) { + if (value == null) { + list.add(""); + } else { + list.add(value.toString()); + } + } + return list; + } + + public static boolean isParsableFrom(String formattedString) { + return PATH_TEMPLATE.matches(formattedString); + } + + public Map getFieldValuesMap() { + if (fieldValuesMap == null) { + synchronized (this) { + if (fieldValuesMap == null) { + ImmutableMap.Builder fieldMapBuilder = ImmutableMap.builder(); + fieldMapBuilder.put("project", project); + fieldMapBuilder.put("location", location); + fieldMapBuilder.put("dataset", dataset); + fieldMapBuilder.put("tableSpec", tableSpec); + fieldValuesMap = fieldMapBuilder.build(); + } + } + } + return fieldValuesMap; + } + + public String getFieldValue(String fieldName) { + return getFieldValuesMap().get(fieldName); + } + + @Override + public String toString() { + return PATH_TEMPLATE.instantiate( + "project", project, "location", location, "dataset", dataset, "table_spec", tableSpec); + } + + /** Builder for TableSpecName. */ + public static class Builder { + + private String project; + private String location; + private String dataset; + private String tableSpec; + + public String getProject() { + return project; + } + + public String getLocation() { + return location; + } + + public String getDataset() { + return dataset; + } + + public String getTableSpec() { + return tableSpec; + } + + public Builder setProject(String project) { + this.project = project; + return this; + } + + public Builder setLocation(String location) { + this.location = location; + return this; + } + + public Builder setDataset(String dataset) { + this.dataset = dataset; + return this; + } + + public Builder setTableSpec(String tableSpec) { + this.tableSpec = tableSpec; + return this; + } + + private Builder() {} + + private Builder(TableSpecName tableSpecName) { + project = tableSpecName.project; + location = tableSpecName.location; + dataset = tableSpecName.dataset; + tableSpec = tableSpecName.tableSpec; + } + + public TableSpecName build() { + return new TableSpecName(this); + } + } + + @Override + public boolean equals(Object o) { + if (o == this) { + return true; + } + if (o instanceof TableSpecName) { + TableSpecName that = (TableSpecName) o; + return (this.project.equals(that.project)) + && (this.location.equals(that.location)) + && (this.dataset.equals(that.dataset)) + && (this.tableSpec.equals(that.tableSpec)); + } + return false; + } + + @Override + public int hashCode() { + int h = 1; + h *= 1000003; + h ^= project.hashCode(); + h *= 1000003; + h ^= location.hashCode(); + h *= 1000003; + h ^= dataset.hashCode(); + h *= 1000003; + h ^= tableSpec.hashCode(); + return h; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpecOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpecOrBuilder.java new file mode 100644 index 000000000..b57b8be45 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpecOrBuilder.java @@ -0,0 +1,218 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/table_spec.proto + +package com.google.cloud.automl.v1beta1; + +public interface TableSpecOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TableSpec) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Output only. The resource name of the table spec.
+   * Form:
+   * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}`
+   *
+ * + * string name = 1; + * + * @return The name. + */ + java.lang.String getName(); + /** + * + * + * 
+   * Output only. The resource name of the table spec.
+   * Form:
+   * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}`
+   *
+ * + * string name = 1; + * + * @return The bytes for name. + */ + com.google.protobuf.ByteString getNameBytes(); + + /** + * + * + * 
+   * column_spec_id of the time column. Only used if the parent dataset's
+   * ml_use_column_spec_id is not set. Used to split rows into TRAIN, VALIDATE
+   * and TEST sets such that oldest rows go to TRAIN set, newest to TEST, and
+   * those in between to VALIDATE.
+   * Required type: TIMESTAMP.
+   * If both this column and ml_use_column are not set, then ML use of all rows
+   * will be assigned by AutoML. NOTE: Updates of this field will instantly
+   * affect any other users concurrently working with the dataset.
+   *
+ * + * string time_column_spec_id = 2; + * + * @return The timeColumnSpecId. + */ + java.lang.String getTimeColumnSpecId(); + /** + * + * + * 
+   * column_spec_id of the time column. Only used if the parent dataset's
+   * ml_use_column_spec_id is not set. Used to split rows into TRAIN, VALIDATE
+   * and TEST sets such that oldest rows go to TRAIN set, newest to TEST, and
+   * those in between to VALIDATE.
+   * Required type: TIMESTAMP.
+   * If both this column and ml_use_column are not set, then ML use of all rows
+   * will be assigned by AutoML. NOTE: Updates of this field will instantly
+   * affect any other users concurrently working with the dataset.
+   *
+ * + * string time_column_spec_id = 2; + * + * @return The bytes for timeColumnSpecId. + */ + com.google.protobuf.ByteString getTimeColumnSpecIdBytes(); + + /** + * + * + * 
+   * Output only. The number of rows (i.e. examples) in the table.
+   *
+ * + * int64 row_count = 3; + * + * @return The rowCount. + */ + long getRowCount(); + + /** + * + * + * 
+   * Output only. The number of valid rows (i.e. without values that don't match
+   * DataType-s of their columns).
+   *
+ * + * int64 valid_row_count = 4; + * + * @return The validRowCount. + */ + long getValidRowCount(); + + /** + * + * + * 
+   * Output only. The number of columns of the table. That is, the number of
+   * child ColumnSpec-s.
+   *
+ * + * int64 column_count = 7; + * + * @return The columnCount. + */ + long getColumnCount(); + + /** + * + * + * 
+   * Output only. Input configs via which data currently residing in the table
+   * had been imported.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + java.util.List getInputConfigsList(); + /** + * + * + * 
+   * Output only. Input configs via which data currently residing in the table
+   * had been imported.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + com.google.cloud.automl.v1beta1.InputConfig getInputConfigs(int index); + /** + * + * + * 
+   * Output only. Input configs via which data currently residing in the table
+   * had been imported.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + int getInputConfigsCount(); + /** + * + * + * 
+   * Output only. Input configs via which data currently residing in the table
+   * had been imported.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + java.util.List + getInputConfigsOrBuilderList(); + /** + * + * + * 
+   * Output only. Input configs via which data currently residing in the table
+   * had been imported.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + com.google.cloud.automl.v1beta1.InputConfigOrBuilder getInputConfigsOrBuilder(int index); + + /** + * + * + * 
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   *
+ * + * string etag = 6; + * + * @return The etag. + */ + java.lang.String getEtag(); + /** + * + * + * 
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   *
+ * + * string etag = 6; + * + * @return The bytes for etag. + */ + com.google.protobuf.ByteString getEtagBytes(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpecOuterClass.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpecOuterClass.java new file mode 100644 index 000000000..c0d3ac028 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpecOuterClass.java @@ -0,0 +1,94 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/table_spec.proto + +package com.google.cloud.automl.v1beta1; + +public final class TableSpecOuterClass { + private TableSpecOuterClass() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TableSpec_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TableSpec_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n,google/cloud/automl/v1beta1/table_spec" + + ".proto\022\033google.cloud.automl.v1beta1\032\031goo" + + "gle/api/resource.proto\032$google/cloud/aut" + + "oml/v1beta1/io.proto\032\034google/api/annotat" + + "ions.proto\"\301\002\n\tTableSpec\022\014\n\004name\030\001 \001(\t\022\033" + + "\n\023time_column_spec_id\030\002 \001(\t\022\021\n\trow_count" + + "\030\003 \001(\003\022\027\n\017valid_row_count\030\004 \001(\003\022\024\n\014colum" + + "n_count\030\007 \001(\003\022?\n\rinput_configs\030\005 \003(\0132(.g" + + "oogle.cloud.automl.v1beta1.InputConfig\022\014" + + "\n\004etag\030\006 \001(\t:x\352Au\n\037automl.googleapis.com" + + "/TableSpec\022Rprojects/{project}/locations" + + "/{location}/datasets/{dataset}/tableSpec" + + "s/{table_spec}B\245\001\n\037com.google.cloud.auto" + + "ml.v1beta1P\001ZAgoogle.golang.org/genproto" + + "/googleapis/cloud/automl/v1beta1;automl\312" + + "\002\033Google\\Cloud\\AutoMl\\V1beta1\352\002\036Google::" + + "Cloud::AutoML::V1beta1b\006proto3" + }; + descriptor = + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.api.ResourceProto.getDescriptor(), + com.google.cloud.automl.v1beta1.Io.getDescriptor(), + com.google.api.AnnotationsProto.getDescriptor(), + }); + internal_static_google_cloud_automl_v1beta1_TableSpec_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_TableSpec_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TableSpec_descriptor, + new java.lang.String[] { + "Name", + "TimeColumnSpecId", + "RowCount", + "ValidRowCount", + "ColumnCount", + "InputConfigs", + "Etag", + }); + com.google.protobuf.ExtensionRegistry registry = + com.google.protobuf.ExtensionRegistry.newInstance(); + registry.add(com.google.api.ResourceProto.resource); + com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor( + descriptor, registry); + com.google.api.ResourceProto.getDescriptor(); + com.google.cloud.automl.v1beta1.Io.getDescriptor(); + com.google.api.AnnotationsProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Tables.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Tables.java new file mode 100644 index 000000000..29290c64b --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Tables.java @@ -0,0 +1,194 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/tables.proto + +package com.google.cloud.automl.v1beta1; + +public final class Tables { + private Tables() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_TargetColumnCorrelationsEntry_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_TargetColumnCorrelationsEntry_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TablesModelMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TablesModelMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TablesAnnotation_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TablesAnnotation_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n(google/cloud/automl/v1beta1/tables.pro" + + "to\022\033google.cloud.automl.v1beta1\0320google/" + + "cloud/automl/v1beta1/classification.prot" + + "o\032-google/cloud/automl/v1beta1/column_sp" + + "ec.proto\032,google/cloud/automl/v1beta1/da" + + "ta_items.proto\032,google/cloud/automl/v1be" + + "ta1/data_stats.proto\032(google/cloud/autom" + + "l/v1beta1/ranges.proto\032,google/cloud/aut" + + "oml/v1beta1/regression.proto\032*google/clo" + + "ud/automl/v1beta1/temporal.proto\032\034google" + + "/protobuf/struct.proto\032\037google/protobuf/" + + "timestamp.proto\032\034google/api/annotations." + + "proto\"\260\003\n\025TablesDatasetMetadata\022\035\n\025prima" + + "ry_table_spec_id\030\001 \001(\t\022\035\n\025target_column_" + + "spec_id\030\002 \001(\t\022\035\n\025weight_column_spec_id\030\003" + + " \001(\t\022\035\n\025ml_use_column_spec_id\030\004 \001(\t\022t\n\032t" + + "arget_column_correlations\030\006 \003(\0132P.google" + + ".cloud.automl.v1beta1.TablesDatasetMetad" + + "ata.TargetColumnCorrelationsEntry\0225\n\021sta" + + "ts_update_time\030\007 \001(\0132\032.google.protobuf.T" + + "imestamp\032n\n\035TargetColumnCorrelationsEntr" + + "y\022\013\n\003key\030\001 \001(\t\022<\n\005value\030\002 \001(\0132-.google.c" + + "loud.automl.v1beta1.CorrelationStats:\0028\001" + + "\"\226\004\n\023TablesModelMetadata\022-\n#optimization" + + "_objective_recall_value\030\021 \001(\002H\000\0220\n&optim" + + "ization_objective_precision_value\030\022 \001(\002H" + + "\000\022C\n\022target_column_spec\030\002 \001(\0132\'.google.c" + + "loud.automl.v1beta1.ColumnSpec\022K\n\032input_" + + "feature_column_specs\030\003 \003(\0132\'.google.clou" + + "d.automl.v1beta1.ColumnSpec\022\036\n\026optimizat" + + "ion_objective\030\004 \001(\t\022T\n\030tables_model_colu" + + "mn_info\030\005 \003(\01322.google.cloud.automl.v1be" + + "ta1.TablesModelColumnInfo\022%\n\035train_budge" + + "t_milli_node_hours\030\006 \001(\003\022#\n\033train_cost_m" + + "illi_node_hours\030\007 \001(\003\022\036\n\026disable_early_s" + + "topping\030\014 \001(\010B*\n(additional_optimization" + + "_objective_config\"\375\001\n\020TablesAnnotation\022\r" + + "\n\005score\030\001 \001(\002\022E\n\023prediction_interval\030\004 \001" + + "(\0132(.google.cloud.automl.v1beta1.DoubleR" + + "ange\022%\n\005value\030\002 \001(\0132\026.google.protobuf.Va" + + "lue\022T\n\030tables_model_column_info\030\003 \003(\01322." + + "google.cloud.automl.v1beta1.TablesModelC" + + "olumnInfo\022\026\n\016baseline_score\030\005 \001(\002\"j\n\025Tab" + + "lesModelColumnInfo\022\030\n\020column_spec_name\030\001" + + " \001(\t\022\033\n\023column_display_name\030\002 \001(\t\022\032\n\022fea" + + "ture_importance\030\003 \001(\002B\245\001\n\037com.google.clo" + + "ud.automl.v1beta1P\001ZAgoogle.golang.org/g" + + "enproto/googleapis/cloud/automl/v1beta1;" + + "automl\312\002\033Google\\Cloud\\AutoMl\\V1beta1\352\002\036G" + + "oogle::Cloud::AutoML::V1beta1b\006proto3" + }; + descriptor = + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.cloud.automl.v1beta1.ClassificationProto.getDescriptor(), + com.google.cloud.automl.v1beta1.ColumnSpecOuterClass.getDescriptor(), + com.google.cloud.automl.v1beta1.DataItems.getDescriptor(), + com.google.cloud.automl.v1beta1.DataStatsOuterClass.getDescriptor(), + com.google.cloud.automl.v1beta1.RangesProto.getDescriptor(), + com.google.cloud.automl.v1beta1.RegressionProto.getDescriptor(), + com.google.cloud.automl.v1beta1.Temporal.getDescriptor(), + com.google.protobuf.StructProto.getDescriptor(), + com.google.protobuf.TimestampProto.getDescriptor(), + com.google.api.AnnotationsProto.getDescriptor(), + }); + internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_descriptor, + new java.lang.String[] { + "PrimaryTableSpecId", + "TargetColumnSpecId", + "WeightColumnSpecId", + "MlUseColumnSpecId", + "TargetColumnCorrelations", + "StatsUpdateTime", + }); + internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_TargetColumnCorrelationsEntry_descriptor = + internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_descriptor + .getNestedTypes() + .get(0); + internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_TargetColumnCorrelationsEntry_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_TargetColumnCorrelationsEntry_descriptor, + new java.lang.String[] { + "Key", "Value", + }); + internal_static_google_cloud_automl_v1beta1_TablesModelMetadata_descriptor = + getDescriptor().getMessageTypes().get(1); + internal_static_google_cloud_automl_v1beta1_TablesModelMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TablesModelMetadata_descriptor, + new java.lang.String[] { + "OptimizationObjectiveRecallValue", + "OptimizationObjectivePrecisionValue", + "TargetColumnSpec", + "InputFeatureColumnSpecs", + "OptimizationObjective", + "TablesModelColumnInfo", + "TrainBudgetMilliNodeHours", + "TrainCostMilliNodeHours", + "DisableEarlyStopping", + "AdditionalOptimizationObjectiveConfig", + }); + internal_static_google_cloud_automl_v1beta1_TablesAnnotation_descriptor = + getDescriptor().getMessageTypes().get(2); + internal_static_google_cloud_automl_v1beta1_TablesAnnotation_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TablesAnnotation_descriptor, + new java.lang.String[] { + "Score", "PredictionInterval", "Value", "TablesModelColumnInfo", "BaselineScore", + }); + internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_descriptor = + getDescriptor().getMessageTypes().get(3); + internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_descriptor, + new java.lang.String[] { + "ColumnSpecName", "ColumnDisplayName", "FeatureImportance", + }); + com.google.cloud.automl.v1beta1.ClassificationProto.getDescriptor(); + com.google.cloud.automl.v1beta1.ColumnSpecOuterClass.getDescriptor(); + com.google.cloud.automl.v1beta1.DataItems.getDescriptor(); + com.google.cloud.automl.v1beta1.DataStatsOuterClass.getDescriptor(); + com.google.cloud.automl.v1beta1.RangesProto.getDescriptor(); + com.google.cloud.automl.v1beta1.RegressionProto.getDescriptor(); + com.google.cloud.automl.v1beta1.Temporal.getDescriptor(); + com.google.protobuf.StructProto.getDescriptor(); + com.google.protobuf.TimestampProto.getDescriptor(); + com.google.api.AnnotationsProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesAnnotation.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesAnnotation.java new file mode 100644 index 000000000..434ed8211 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesAnnotation.java @@ -0,0 +1,2021 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/tables.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Contains annotation details specific to Tables.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TablesAnnotation} + */ +public final class TablesAnnotation extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TablesAnnotation) + TablesAnnotationOrBuilder { + private static final long serialVersionUID = 0L; + // Use TablesAnnotation.newBuilder() to construct. + private TablesAnnotation(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TablesAnnotation() { + tablesModelColumnInfo_ = java.util.Collections.emptyList(); + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new TablesAnnotation(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TablesAnnotation( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 13: + { + score_ = input.readFloat(); + break; + } + case 18: + { + com.google.protobuf.Value.Builder subBuilder = null; + if (value_ != null) { + subBuilder = value_.toBuilder(); + } + value_ = input.readMessage(com.google.protobuf.Value.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(value_); + value_ = subBuilder.buildPartial(); + } + + break; + } + case 26: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + tablesModelColumnInfo_ = + new java.util.ArrayList< + com.google.cloud.automl.v1beta1.TablesModelColumnInfo>(); + mutable_bitField0_ |= 0x00000001; + } + tablesModelColumnInfo_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.parser(), + extensionRegistry)); + break; + } + case 34: + { + com.google.cloud.automl.v1beta1.DoubleRange.Builder subBuilder = null; + if (predictionInterval_ != null) { + subBuilder = predictionInterval_.toBuilder(); + } + predictionInterval_ = + input.readMessage( + com.google.cloud.automl.v1beta1.DoubleRange.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(predictionInterval_); + predictionInterval_ = subBuilder.buildPartial(); + } + + break; + } + case 45: + { + baselineScore_ = input.readFloat(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + tablesModelColumnInfo_ = java.util.Collections.unmodifiableList(tablesModelColumnInfo_); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesAnnotation_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesAnnotation_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TablesAnnotation.class, + com.google.cloud.automl.v1beta1.TablesAnnotation.Builder.class); + } + + public static final int SCORE_FIELD_NUMBER = 1; + private float score_; + /** + * + * + * 
+   * Output only. A confidence estimate between 0.0 and 1.0, inclusive. A higher
+   * value means greater confidence in the returned value.
+   * For
+   * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * of FLOAT64 data type the score is not populated.
+   *
+ * + * float score = 1; + * + * @return The score. + */ + public float getScore() { + return score_; + } + + public static final int PREDICTION_INTERVAL_FIELD_NUMBER = 4; + private com.google.cloud.automl.v1beta1.DoubleRange predictionInterval_; + /** + * + * + * 
+   * Output only. Only populated when
+   * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * has FLOAT64 data type. An interval in which the exactly correct target
+   * value has 95% chance to be in.
+   *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + * + * @return Whether the predictionInterval field is set. + */ + public boolean hasPredictionInterval() { + return predictionInterval_ != null; + } + /** + * + * + * 
+   * Output only. Only populated when
+   * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * has FLOAT64 data type. An interval in which the exactly correct target
+   * value has 95% chance to be in.
+   *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + * + * @return The predictionInterval. + */ + public com.google.cloud.automl.v1beta1.DoubleRange getPredictionInterval() { + return predictionInterval_ == null + ? com.google.cloud.automl.v1beta1.DoubleRange.getDefaultInstance() + : predictionInterval_; + } + /** + * + * + * 
+   * Output only. Only populated when
+   * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * has FLOAT64 data type. An interval in which the exactly correct target
+   * value has 95% chance to be in.
+   *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + */ + public com.google.cloud.automl.v1beta1.DoubleRangeOrBuilder getPredictionIntervalOrBuilder() { + return getPredictionInterval(); + } + + public static final int VALUE_FIELD_NUMBER = 2; + private com.google.protobuf.Value value_; + /** + * + * + * 
+   * The predicted value of the row's
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+   * The value depends on the column's DataType:
+   * * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+   *   value.
+   * * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
+   *
+ * + * .google.protobuf.Value value = 2; + * + * @return Whether the value field is set. + */ + public boolean hasValue() { + return value_ != null; + } + /** + * + * + * 
+   * The predicted value of the row's
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+   * The value depends on the column's DataType:
+   * * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+   *   value.
+   * * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
+   *
+ * + * .google.protobuf.Value value = 2; + * + * @return The value. + */ + public com.google.protobuf.Value getValue() { + return value_ == null ? com.google.protobuf.Value.getDefaultInstance() : value_; + } + /** + * + * + * 
+   * The predicted value of the row's
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+   * The value depends on the column's DataType:
+   * * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+   *   value.
+   * * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
+   *
+ * + * .google.protobuf.Value value = 2; + */ + public com.google.protobuf.ValueOrBuilder getValueOrBuilder() { + return getValue(); + } + + public static final int TABLES_MODEL_COLUMN_INFO_FIELD_NUMBER = 3; + private java.util.List + tablesModelColumnInfo_; + /** + * + * + * 
+   * Output only. Auxiliary information for each of the model's
+   * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * with respect to this particular prediction.
+   * If no other fields than
+   * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+   * and
+   * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+   * would be populated, then this whole field is not.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public java.util.List + getTablesModelColumnInfoList() { + return tablesModelColumnInfo_; + } + /** + * + * + * 
+   * Output only. Auxiliary information for each of the model's
+   * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * with respect to this particular prediction.
+   * If no other fields than
+   * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+   * and
+   * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+   * would be populated, then this whole field is not.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public java.util.List + getTablesModelColumnInfoOrBuilderList() { + return tablesModelColumnInfo_; + } + /** + * + * + * 
+   * Output only. Auxiliary information for each of the model's
+   * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * with respect to this particular prediction.
+   * If no other fields than
+   * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+   * and
+   * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+   * would be populated, then this whole field is not.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public int getTablesModelColumnInfoCount() { + return tablesModelColumnInfo_.size(); + } + /** + * + * + * 
+   * Output only. Auxiliary information for each of the model's
+   * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * with respect to this particular prediction.
+   * If no other fields than
+   * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+   * and
+   * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+   * would be populated, then this whole field is not.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo getTablesModelColumnInfo(int index) { + return tablesModelColumnInfo_.get(index); + } + /** + * + * + * 
+   * Output only. Auxiliary information for each of the model's
+   * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * with respect to this particular prediction.
+   * If no other fields than
+   * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+   * and
+   * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+   * would be populated, then this whole field is not.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder + getTablesModelColumnInfoOrBuilder(int index) { + return tablesModelColumnInfo_.get(index); + } + + public static final int BASELINE_SCORE_FIELD_NUMBER = 5; + private float baselineScore_; + /** + * + * + * 
+   * Output only. Stores the prediction score for the baseline example, which
+   * is defined as the example with all values set to their baseline values.
+   * This is used as part of the Sampled Shapley explanation of the model's
+   * prediction. This field is populated only when feature importance is
+   * requested. For regression models, this holds the baseline prediction for
+   * the baseline example. For classification models, this holds the baseline
+   * prediction for the baseline example for the argmax class.
+   *
+ * + * float baseline_score = 5; + * + * @return The baselineScore. + */ + public float getBaselineScore() { + return baselineScore_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (score_ != 0F) { + output.writeFloat(1, score_); + } + if (value_ != null) { + output.writeMessage(2, getValue()); + } + for (int i = 0; i < tablesModelColumnInfo_.size(); i++) { + output.writeMessage(3, tablesModelColumnInfo_.get(i)); + } + if (predictionInterval_ != null) { + output.writeMessage(4, getPredictionInterval()); + } + if (baselineScore_ != 0F) { + output.writeFloat(5, baselineScore_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (score_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, score_); + } + if (value_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getValue()); + } + for (int i = 0; i < tablesModelColumnInfo_.size(); i++) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 3, tablesModelColumnInfo_.get(i)); + } + if (predictionInterval_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, getPredictionInterval()); + } + if (baselineScore_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(5, baselineScore_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TablesAnnotation)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TablesAnnotation other = + (com.google.cloud.automl.v1beta1.TablesAnnotation) obj; + + if (java.lang.Float.floatToIntBits(getScore()) + != java.lang.Float.floatToIntBits(other.getScore())) return false; + if (hasPredictionInterval() != other.hasPredictionInterval()) return false; + if (hasPredictionInterval()) { + if (!getPredictionInterval().equals(other.getPredictionInterval())) return false; + } + if (hasValue() != other.hasValue()) return false; + if (hasValue()) { + if (!getValue().equals(other.getValue())) return false; + } + if (!getTablesModelColumnInfoList().equals(other.getTablesModelColumnInfoList())) return false; + if (java.lang.Float.floatToIntBits(getBaselineScore()) + != java.lang.Float.floatToIntBits(other.getBaselineScore())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + SCORE_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getScore()); + if (hasPredictionInterval()) { + hash = (37 * hash) + PREDICTION_INTERVAL_FIELD_NUMBER; + hash = (53 * hash) + getPredictionInterval().hashCode(); + } + if (hasValue()) { + hash = (37 * hash) + VALUE_FIELD_NUMBER; + hash = (53 * hash) + getValue().hashCode(); + } + if (getTablesModelColumnInfoCount() > 0) { + hash = (37 * hash) + TABLES_MODEL_COLUMN_INFO_FIELD_NUMBER; + hash = (53 * hash) + getTablesModelColumnInfoList().hashCode(); + } + hash = (37 * hash) + BASELINE_SCORE_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getBaselineScore()); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TablesAnnotation parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TablesAnnotation parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesAnnotation parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TablesAnnotation parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesAnnotation parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TablesAnnotation parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesAnnotation parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TablesAnnotation parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesAnnotation parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TablesAnnotation parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesAnnotation parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TablesAnnotation parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.TablesAnnotation prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Contains annotation details specific to Tables.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TablesAnnotation} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TablesAnnotation) + com.google.cloud.automl.v1beta1.TablesAnnotationOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesAnnotation_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesAnnotation_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TablesAnnotation.class, + com.google.cloud.automl.v1beta1.TablesAnnotation.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TablesAnnotation.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getTablesModelColumnInfoFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + score_ = 0F; + + if (predictionIntervalBuilder_ == null) { + predictionInterval_ = null; + } else { + predictionInterval_ = null; + predictionIntervalBuilder_ = null; + } + if (valueBuilder_ == null) { + value_ = null; + } else { + value_ = null; + valueBuilder_ = null; + } + if (tablesModelColumnInfoBuilder_ == null) { + tablesModelColumnInfo_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + } else { + tablesModelColumnInfoBuilder_.clear(); + } + baselineScore_ = 0F; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesAnnotation_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesAnnotation getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TablesAnnotation.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesAnnotation build() { + com.google.cloud.automl.v1beta1.TablesAnnotation result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesAnnotation buildPartial() { + com.google.cloud.automl.v1beta1.TablesAnnotation result = + new com.google.cloud.automl.v1beta1.TablesAnnotation(this); + int from_bitField0_ = bitField0_; + result.score_ = score_; + if (predictionIntervalBuilder_ == null) { + result.predictionInterval_ = predictionInterval_; + } else { + result.predictionInterval_ = predictionIntervalBuilder_.build(); + } + if (valueBuilder_ == null) { + result.value_ = value_; + } else { + result.value_ = valueBuilder_.build(); + } + if (tablesModelColumnInfoBuilder_ == null) { + if (((bitField0_ & 0x00000001) != 0)) { + tablesModelColumnInfo_ = java.util.Collections.unmodifiableList(tablesModelColumnInfo_); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.tablesModelColumnInfo_ = tablesModelColumnInfo_; + } else { + result.tablesModelColumnInfo_ = tablesModelColumnInfoBuilder_.build(); + } + result.baselineScore_ = baselineScore_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TablesAnnotation) { + return mergeFrom((com.google.cloud.automl.v1beta1.TablesAnnotation) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TablesAnnotation other) { + if (other == com.google.cloud.automl.v1beta1.TablesAnnotation.getDefaultInstance()) + return this; + if (other.getScore() != 0F) { + setScore(other.getScore()); + } + if (other.hasPredictionInterval()) { + mergePredictionInterval(other.getPredictionInterval()); + } + if (other.hasValue()) { + mergeValue(other.getValue()); + } + if (tablesModelColumnInfoBuilder_ == null) { + if (!other.tablesModelColumnInfo_.isEmpty()) { + if (tablesModelColumnInfo_.isEmpty()) { + tablesModelColumnInfo_ = other.tablesModelColumnInfo_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.addAll(other.tablesModelColumnInfo_); + } + onChanged(); + } + } else { + if (!other.tablesModelColumnInfo_.isEmpty()) { + if (tablesModelColumnInfoBuilder_.isEmpty()) { + tablesModelColumnInfoBuilder_.dispose(); + tablesModelColumnInfoBuilder_ = null; + tablesModelColumnInfo_ = other.tablesModelColumnInfo_; + bitField0_ = (bitField0_ & ~0x00000001); + tablesModelColumnInfoBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getTablesModelColumnInfoFieldBuilder() + : null; + } else { + tablesModelColumnInfoBuilder_.addAllMessages(other.tablesModelColumnInfo_); + } + } + } + if (other.getBaselineScore() != 0F) { + setBaselineScore(other.getBaselineScore()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TablesAnnotation parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.TablesAnnotation) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private float score_; + /** + * + * + * 
+     * Output only. A confidence estimate between 0.0 and 1.0, inclusive. A higher
+     * value means greater confidence in the returned value.
+     * For
+     * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * of FLOAT64 data type the score is not populated.
+     *
+ * + * float score = 1; + * + * @return The score. + */ + public float getScore() { + return score_; + } + /** + * + * + * 
+     * Output only. A confidence estimate between 0.0 and 1.0, inclusive. A higher
+     * value means greater confidence in the returned value.
+     * For
+     * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * of FLOAT64 data type the score is not populated.
+     *
+ * + * float score = 1; + * + * @param value The score to set. + * @return This builder for chaining. + */ + public Builder setScore(float value) { + + score_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. A confidence estimate between 0.0 and 1.0, inclusive. A higher
+     * value means greater confidence in the returned value.
+     * For
+     * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * of FLOAT64 data type the score is not populated.
+     *
+ * + * float score = 1; + * + * @return This builder for chaining. + */ + public Builder clearScore() { + + score_ = 0F; + onChanged(); + return this; + } + + private com.google.cloud.automl.v1beta1.DoubleRange predictionInterval_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DoubleRange, + com.google.cloud.automl.v1beta1.DoubleRange.Builder, + com.google.cloud.automl.v1beta1.DoubleRangeOrBuilder> + predictionIntervalBuilder_; + /** + * + * + * 
+     * Output only. Only populated when
+     * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * has FLOAT64 data type. An interval in which the exactly correct target
+     * value has 95% chance to be in.
+     *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + * + * @return Whether the predictionInterval field is set. + */ + public boolean hasPredictionInterval() { + return predictionIntervalBuilder_ != null || predictionInterval_ != null; + } + /** + * + * + * 
+     * Output only. Only populated when
+     * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * has FLOAT64 data type. An interval in which the exactly correct target
+     * value has 95% chance to be in.
+     *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + * + * @return The predictionInterval. + */ + public com.google.cloud.automl.v1beta1.DoubleRange getPredictionInterval() { + if (predictionIntervalBuilder_ == null) { + return predictionInterval_ == null + ? com.google.cloud.automl.v1beta1.DoubleRange.getDefaultInstance() + : predictionInterval_; + } else { + return predictionIntervalBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Output only. Only populated when
+     * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * has FLOAT64 data type. An interval in which the exactly correct target
+     * value has 95% chance to be in.
+     *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + */ + public Builder setPredictionInterval(com.google.cloud.automl.v1beta1.DoubleRange value) { + if (predictionIntervalBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + predictionInterval_ = value; + onChanged(); + } else { + predictionIntervalBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. Only populated when
+     * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * has FLOAT64 data type. An interval in which the exactly correct target
+     * value has 95% chance to be in.
+     *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + */ + public Builder setPredictionInterval( + com.google.cloud.automl.v1beta1.DoubleRange.Builder builderForValue) { + if (predictionIntervalBuilder_ == null) { + predictionInterval_ = builderForValue.build(); + onChanged(); + } else { + predictionIntervalBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Output only. Only populated when
+     * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * has FLOAT64 data type. An interval in which the exactly correct target
+     * value has 95% chance to be in.
+     *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + */ + public Builder mergePredictionInterval(com.google.cloud.automl.v1beta1.DoubleRange value) { + if (predictionIntervalBuilder_ == null) { + if (predictionInterval_ != null) { + predictionInterval_ = + com.google.cloud.automl.v1beta1.DoubleRange.newBuilder(predictionInterval_) + .mergeFrom(value) + .buildPartial(); + } else { + predictionInterval_ = value; + } + onChanged(); + } else { + predictionIntervalBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. Only populated when
+     * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * has FLOAT64 data type. An interval in which the exactly correct target
+     * value has 95% chance to be in.
+     *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + */ + public Builder clearPredictionInterval() { + if (predictionIntervalBuilder_ == null) { + predictionInterval_ = null; + onChanged(); + } else { + predictionInterval_ = null; + predictionIntervalBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Output only. Only populated when
+     * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * has FLOAT64 data type. An interval in which the exactly correct target
+     * value has 95% chance to be in.
+     *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + */ + public com.google.cloud.automl.v1beta1.DoubleRange.Builder getPredictionIntervalBuilder() { + + onChanged(); + return getPredictionIntervalFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Output only. Only populated when
+     * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * has FLOAT64 data type. An interval in which the exactly correct target
+     * value has 95% chance to be in.
+     *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + */ + public com.google.cloud.automl.v1beta1.DoubleRangeOrBuilder getPredictionIntervalOrBuilder() { + if (predictionIntervalBuilder_ != null) { + return predictionIntervalBuilder_.getMessageOrBuilder(); + } else { + return predictionInterval_ == null + ? com.google.cloud.automl.v1beta1.DoubleRange.getDefaultInstance() + : predictionInterval_; + } + } + /** + * + * + * 
+     * Output only. Only populated when
+     * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * has FLOAT64 data type. An interval in which the exactly correct target
+     * value has 95% chance to be in.
+     *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DoubleRange, + com.google.cloud.automl.v1beta1.DoubleRange.Builder, + com.google.cloud.automl.v1beta1.DoubleRangeOrBuilder> + getPredictionIntervalFieldBuilder() { + if (predictionIntervalBuilder_ == null) { + predictionIntervalBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DoubleRange, + com.google.cloud.automl.v1beta1.DoubleRange.Builder, + com.google.cloud.automl.v1beta1.DoubleRangeOrBuilder>( + getPredictionInterval(), getParentForChildren(), isClean()); + predictionInterval_ = null; + } + return predictionIntervalBuilder_; + } + + private com.google.protobuf.Value value_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Value, + com.google.protobuf.Value.Builder, + com.google.protobuf.ValueOrBuilder> + valueBuilder_; + /** + * + * + * 
+     * The predicted value of the row's
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+     * The value depends on the column's DataType:
+     * * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+     *   value.
+     * * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
+     *
+ * + * .google.protobuf.Value value = 2; + * + * @return Whether the value field is set. + */ + public boolean hasValue() { + return valueBuilder_ != null || value_ != null; + } + /** + * + * + * 
+     * The predicted value of the row's
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+     * The value depends on the column's DataType:
+     * * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+     *   value.
+     * * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
+     *
+ * + * .google.protobuf.Value value = 2; + * + * @return The value. + */ + public com.google.protobuf.Value getValue() { + if (valueBuilder_ == null) { + return value_ == null ? com.google.protobuf.Value.getDefaultInstance() : value_; + } else { + return valueBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * The predicted value of the row's
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+     * The value depends on the column's DataType:
+     * * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+     *   value.
+     * * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
+     *
+ * + * .google.protobuf.Value value = 2; + */ + public Builder setValue(com.google.protobuf.Value value) { + if (valueBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + value_ = value; + onChanged(); + } else { + valueBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * The predicted value of the row's
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+     * The value depends on the column's DataType:
+     * * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+     *   value.
+     * * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
+     *
+ * + * .google.protobuf.Value value = 2; + */ + public Builder setValue(com.google.protobuf.Value.Builder builderForValue) { + if (valueBuilder_ == null) { + value_ = builderForValue.build(); + onChanged(); + } else { + valueBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * The predicted value of the row's
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+     * The value depends on the column's DataType:
+     * * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+     *   value.
+     * * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
+     *
+ * + * .google.protobuf.Value value = 2; + */ + public Builder mergeValue(com.google.protobuf.Value value) { + if (valueBuilder_ == null) { + if (value_ != null) { + value_ = com.google.protobuf.Value.newBuilder(value_).mergeFrom(value).buildPartial(); + } else { + value_ = value; + } + onChanged(); + } else { + valueBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * The predicted value of the row's
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+     * The value depends on the column's DataType:
+     * * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+     *   value.
+     * * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
+     *
+ * + * .google.protobuf.Value value = 2; + */ + public Builder clearValue() { + if (valueBuilder_ == null) { + value_ = null; + onChanged(); + } else { + value_ = null; + valueBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * The predicted value of the row's
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+     * The value depends on the column's DataType:
+     * * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+     *   value.
+     * * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
+     *
+ * + * .google.protobuf.Value value = 2; + */ + public com.google.protobuf.Value.Builder getValueBuilder() { + + onChanged(); + return getValueFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The predicted value of the row's
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+     * The value depends on the column's DataType:
+     * * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+     *   value.
+     * * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
+     *
+ * + * .google.protobuf.Value value = 2; + */ + public com.google.protobuf.ValueOrBuilder getValueOrBuilder() { + if (valueBuilder_ != null) { + return valueBuilder_.getMessageOrBuilder(); + } else { + return value_ == null ? com.google.protobuf.Value.getDefaultInstance() : value_; + } + } + /** + * + * + * 
+     * The predicted value of the row's
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+     * The value depends on the column's DataType:
+     * * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+     *   value.
+     * * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
+     *
+ * + * .google.protobuf.Value value = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Value, + com.google.protobuf.Value.Builder, + com.google.protobuf.ValueOrBuilder> + getValueFieldBuilder() { + if (valueBuilder_ == null) { + valueBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Value, + com.google.protobuf.Value.Builder, + com.google.protobuf.ValueOrBuilder>(getValue(), getParentForChildren(), isClean()); + value_ = null; + } + return valueBuilder_; + } + + private java.util.List + tablesModelColumnInfo_ = java.util.Collections.emptyList(); + + private void ensureTablesModelColumnInfoIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + tablesModelColumnInfo_ = + new java.util.ArrayList( + tablesModelColumnInfo_); + bitField0_ |= 0x00000001; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.TablesModelColumnInfo, + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder, + com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder> + tablesModelColumnInfoBuilder_; + + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     * If no other fields than
+     * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+     * and
+     * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+     * would be populated, then this whole field is not.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public java.util.List + getTablesModelColumnInfoList() { + if (tablesModelColumnInfoBuilder_ == null) { + return java.util.Collections.unmodifiableList(tablesModelColumnInfo_); + } else { + return tablesModelColumnInfoBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     * If no other fields than
+     * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+     * and
+     * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+     * would be populated, then this whole field is not.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public int getTablesModelColumnInfoCount() { + if (tablesModelColumnInfoBuilder_ == null) { + return tablesModelColumnInfo_.size(); + } else { + return tablesModelColumnInfoBuilder_.getCount(); + } + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     * If no other fields than
+     * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+     * and
+     * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+     * would be populated, then this whole field is not.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo getTablesModelColumnInfo( + int index) { + if (tablesModelColumnInfoBuilder_ == null) { + return tablesModelColumnInfo_.get(index); + } else { + return tablesModelColumnInfoBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     * If no other fields than
+     * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+     * and
+     * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+     * would be populated, then this whole field is not.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public Builder setTablesModelColumnInfo( + int index, com.google.cloud.automl.v1beta1.TablesModelColumnInfo value) { + if (tablesModelColumnInfoBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.set(index, value); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     * If no other fields than
+     * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+     * and
+     * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+     * would be populated, then this whole field is not.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public Builder setTablesModelColumnInfo( + int index, com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder builderForValue) { + if (tablesModelColumnInfoBuilder_ == null) { + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.set(index, builderForValue.build()); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     * If no other fields than
+     * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+     * and
+     * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+     * would be populated, then this whole field is not.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public Builder addTablesModelColumnInfo( + com.google.cloud.automl.v1beta1.TablesModelColumnInfo value) { + if (tablesModelColumnInfoBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.add(value); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     * If no other fields than
+     * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+     * and
+     * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+     * would be populated, then this whole field is not.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public Builder addTablesModelColumnInfo( + int index, com.google.cloud.automl.v1beta1.TablesModelColumnInfo value) { + if (tablesModelColumnInfoBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.add(index, value); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     * If no other fields than
+     * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+     * and
+     * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+     * would be populated, then this whole field is not.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public Builder addTablesModelColumnInfo( + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder builderForValue) { + if (tablesModelColumnInfoBuilder_ == null) { + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.add(builderForValue.build()); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     * If no other fields than
+     * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+     * and
+     * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+     * would be populated, then this whole field is not.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public Builder addTablesModelColumnInfo( + int index, com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder builderForValue) { + if (tablesModelColumnInfoBuilder_ == null) { + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.add(index, builderForValue.build()); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     * If no other fields than
+     * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+     * and
+     * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+     * would be populated, then this whole field is not.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public Builder addAllTablesModelColumnInfo( + java.lang.Iterable + values) { + if (tablesModelColumnInfoBuilder_ == null) { + ensureTablesModelColumnInfoIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, tablesModelColumnInfo_); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     * If no other fields than
+     * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+     * and
+     * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+     * would be populated, then this whole field is not.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public Builder clearTablesModelColumnInfo() { + if (tablesModelColumnInfoBuilder_ == null) { + tablesModelColumnInfo_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     * If no other fields than
+     * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+     * and
+     * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+     * would be populated, then this whole field is not.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public Builder removeTablesModelColumnInfo(int index) { + if (tablesModelColumnInfoBuilder_ == null) { + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.remove(index); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     * If no other fields than
+     * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+     * and
+     * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+     * would be populated, then this whole field is not.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder + getTablesModelColumnInfoBuilder(int index) { + return getTablesModelColumnInfoFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     * If no other fields than
+     * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+     * and
+     * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+     * would be populated, then this whole field is not.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder + getTablesModelColumnInfoOrBuilder(int index) { + if (tablesModelColumnInfoBuilder_ == null) { + return tablesModelColumnInfo_.get(index); + } else { + return tablesModelColumnInfoBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     * If no other fields than
+     * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+     * and
+     * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+     * would be populated, then this whole field is not.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public java.util.List + getTablesModelColumnInfoOrBuilderList() { + if (tablesModelColumnInfoBuilder_ != null) { + return tablesModelColumnInfoBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(tablesModelColumnInfo_); + } + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     * If no other fields than
+     * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+     * and
+     * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+     * would be populated, then this whole field is not.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder + addTablesModelColumnInfoBuilder() { + return getTablesModelColumnInfoFieldBuilder() + .addBuilder(com.google.cloud.automl.v1beta1.TablesModelColumnInfo.getDefaultInstance()); + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     * If no other fields than
+     * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+     * and
+     * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+     * would be populated, then this whole field is not.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder + addTablesModelColumnInfoBuilder(int index) { + return getTablesModelColumnInfoFieldBuilder() + .addBuilder( + index, com.google.cloud.automl.v1beta1.TablesModelColumnInfo.getDefaultInstance()); + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     * If no other fields than
+     * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+     * and
+     * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+     * would be populated, then this whole field is not.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public java.util.List + getTablesModelColumnInfoBuilderList() { + return getTablesModelColumnInfoFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.TablesModelColumnInfo, + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder, + com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder> + getTablesModelColumnInfoFieldBuilder() { + if (tablesModelColumnInfoBuilder_ == null) { + tablesModelColumnInfoBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.TablesModelColumnInfo, + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder, + com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder>( + tablesModelColumnInfo_, + ((bitField0_ & 0x00000001) != 0), + getParentForChildren(), + isClean()); + tablesModelColumnInfo_ = null; + } + return tablesModelColumnInfoBuilder_; + } + + private float baselineScore_; + /** + * + * + * 
+     * Output only. Stores the prediction score for the baseline example, which
+     * is defined as the example with all values set to their baseline values.
+     * This is used as part of the Sampled Shapley explanation of the model's
+     * prediction. This field is populated only when feature importance is
+     * requested. For regression models, this holds the baseline prediction for
+     * the baseline example. For classification models, this holds the baseline
+     * prediction for the baseline example for the argmax class.
+     *
+ * + * float baseline_score = 5; + * + * @return The baselineScore. + */ + public float getBaselineScore() { + return baselineScore_; + } + /** + * + * + * 
+     * Output only. Stores the prediction score for the baseline example, which
+     * is defined as the example with all values set to their baseline values.
+     * This is used as part of the Sampled Shapley explanation of the model's
+     * prediction. This field is populated only when feature importance is
+     * requested. For regression models, this holds the baseline prediction for
+     * the baseline example. For classification models, this holds the baseline
+     * prediction for the baseline example for the argmax class.
+     *
+ * + * float baseline_score = 5; + * + * @param value The baselineScore to set. + * @return This builder for chaining. + */ + public Builder setBaselineScore(float value) { + + baselineScore_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. Stores the prediction score for the baseline example, which
+     * is defined as the example with all values set to their baseline values.
+     * This is used as part of the Sampled Shapley explanation of the model's
+     * prediction. This field is populated only when feature importance is
+     * requested. For regression models, this holds the baseline prediction for
+     * the baseline example. For classification models, this holds the baseline
+     * prediction for the baseline example for the argmax class.
+     *
+ * + * float baseline_score = 5; + * + * @return This builder for chaining. + */ + public Builder clearBaselineScore() { + + baselineScore_ = 0F; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TablesAnnotation) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TablesAnnotation) + private static final com.google.cloud.automl.v1beta1.TablesAnnotation DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TablesAnnotation(); + } + + public static com.google.cloud.automl.v1beta1.TablesAnnotation getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TablesAnnotation parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TablesAnnotation(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesAnnotation getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesAnnotationOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesAnnotationOrBuilder.java new file mode 100644 index 000000000..674df0db9 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesAnnotationOrBuilder.java @@ -0,0 +1,249 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/tables.proto + +package com.google.cloud.automl.v1beta1; + +public interface TablesAnnotationOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TablesAnnotation) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Output only. A confidence estimate between 0.0 and 1.0, inclusive. A higher
+   * value means greater confidence in the returned value.
+   * For
+   * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * of FLOAT64 data type the score is not populated.
+   *
+ * + * float score = 1; + * + * @return The score. + */ + float getScore(); + + /** + * + * + * 
+   * Output only. Only populated when
+   * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * has FLOAT64 data type. An interval in which the exactly correct target
+   * value has 95% chance to be in.
+   *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + * + * @return Whether the predictionInterval field is set. + */ + boolean hasPredictionInterval(); + /** + * + * + * 
+   * Output only. Only populated when
+   * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * has FLOAT64 data type. An interval in which the exactly correct target
+   * value has 95% chance to be in.
+   *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + * + * @return The predictionInterval. + */ + com.google.cloud.automl.v1beta1.DoubleRange getPredictionInterval(); + /** + * + * + * 
+   * Output only. Only populated when
+   * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * has FLOAT64 data type. An interval in which the exactly correct target
+   * value has 95% chance to be in.
+   *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + */ + com.google.cloud.automl.v1beta1.DoubleRangeOrBuilder getPredictionIntervalOrBuilder(); + + /** + * + * + * 
+   * The predicted value of the row's
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+   * The value depends on the column's DataType:
+   * * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+   *   value.
+   * * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
+   *
+ * + * .google.protobuf.Value value = 2; + * + * @return Whether the value field is set. + */ + boolean hasValue(); + /** + * + * + * 
+   * The predicted value of the row's
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+   * The value depends on the column's DataType:
+   * * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+   *   value.
+   * * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
+   *
+ * + * .google.protobuf.Value value = 2; + * + * @return The value. + */ + com.google.protobuf.Value getValue(); + /** + * + * + * 
+   * The predicted value of the row's
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+   * The value depends on the column's DataType:
+   * * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+   *   value.
+   * * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
+   *
+ * + * .google.protobuf.Value value = 2; + */ + com.google.protobuf.ValueOrBuilder getValueOrBuilder(); + + /** + * + * + * 
+   * Output only. Auxiliary information for each of the model's
+   * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * with respect to this particular prediction.
+   * If no other fields than
+   * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+   * and
+   * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+   * would be populated, then this whole field is not.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + java.util.List + getTablesModelColumnInfoList(); + /** + * + * + * 
+   * Output only. Auxiliary information for each of the model's
+   * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * with respect to this particular prediction.
+   * If no other fields than
+   * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+   * and
+   * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+   * would be populated, then this whole field is not.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + com.google.cloud.automl.v1beta1.TablesModelColumnInfo getTablesModelColumnInfo(int index); + /** + * + * + * 
+   * Output only. Auxiliary information for each of the model's
+   * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * with respect to this particular prediction.
+   * If no other fields than
+   * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+   * and
+   * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+   * would be populated, then this whole field is not.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + int getTablesModelColumnInfoCount(); + /** + * + * + * 
+   * Output only. Auxiliary information for each of the model's
+   * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * with respect to this particular prediction.
+   * If no other fields than
+   * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+   * and
+   * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+   * would be populated, then this whole field is not.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + java.util.List + getTablesModelColumnInfoOrBuilderList(); + /** + * + * + * 
+   * Output only. Auxiliary information for each of the model's
+   * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * with respect to this particular prediction.
+   * If no other fields than
+   * [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
+   * and
+   * [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
+   * would be populated, then this whole field is not.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder getTablesModelColumnInfoOrBuilder( + int index); + + /** + * + * + * 
+   * Output only. Stores the prediction score for the baseline example, which
+   * is defined as the example with all values set to their baseline values.
+   * This is used as part of the Sampled Shapley explanation of the model's
+   * prediction. This field is populated only when feature importance is
+   * requested. For regression models, this holds the baseline prediction for
+   * the baseline example. For classification models, this holds the baseline
+   * prediction for the baseline example for the argmax class.
+   *
+ * + * float baseline_score = 5; + * + * @return The baselineScore. + */ + float getBaselineScore(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesDatasetMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesDatasetMetadata.java new file mode 100644 index 000000000..c82264716 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesDatasetMetadata.java @@ -0,0 +1,2161 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/tables.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Metadata for a dataset used for AutoML Tables.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TablesDatasetMetadata} + */ +public final class TablesDatasetMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TablesDatasetMetadata) + TablesDatasetMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use TablesDatasetMetadata.newBuilder() to construct. + private TablesDatasetMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TablesDatasetMetadata() { + primaryTableSpecId_ = ""; + targetColumnSpecId_ = ""; + weightColumnSpecId_ = ""; + mlUseColumnSpecId_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new TablesDatasetMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TablesDatasetMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + primaryTableSpecId_ = s; + break; + } + case 18: + { + java.lang.String s = input.readStringRequireUtf8(); + + targetColumnSpecId_ = s; + break; + } + case 26: + { + java.lang.String s = input.readStringRequireUtf8(); + + weightColumnSpecId_ = s; + break; + } + case 34: + { + java.lang.String s = input.readStringRequireUtf8(); + + mlUseColumnSpecId_ = s; + break; + } + case 50: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + targetColumnCorrelations_ = + com.google.protobuf.MapField.newMapField( + TargetColumnCorrelationsDefaultEntryHolder.defaultEntry); + mutable_bitField0_ |= 0x00000001; + } + com.google.protobuf.MapEntry< + java.lang.String, com.google.cloud.automl.v1beta1.CorrelationStats> + targetColumnCorrelations__ = + input.readMessage( + TargetColumnCorrelationsDefaultEntryHolder.defaultEntry + .getParserForType(), + extensionRegistry); + targetColumnCorrelations_ + .getMutableMap() + .put(targetColumnCorrelations__.getKey(), targetColumnCorrelations__.getValue()); + break; + } + case 58: + { + com.google.protobuf.Timestamp.Builder subBuilder = null; + if (statsUpdateTime_ != null) { + subBuilder = statsUpdateTime_.toBuilder(); + } + statsUpdateTime_ = + input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(statsUpdateTime_); + statsUpdateTime_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + @java.lang.Override + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 6: + return internalGetTargetColumnCorrelations(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TablesDatasetMetadata.class, + com.google.cloud.automl.v1beta1.TablesDatasetMetadata.Builder.class); + } + + public static final int PRIMARY_TABLE_SPEC_ID_FIELD_NUMBER = 1; + private volatile java.lang.Object primaryTableSpecId_; + /** + * + * + * 
+   * Output only. The table_spec_id of the primary table of this dataset.
+   *
+ * + * string primary_table_spec_id = 1; + * + * @return The primaryTableSpecId. + */ + public java.lang.String getPrimaryTableSpecId() { + java.lang.Object ref = primaryTableSpecId_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + primaryTableSpecId_ = s; + return s; + } + } + /** + * + * + * 
+   * Output only. The table_spec_id of the primary table of this dataset.
+   *
+ * + * string primary_table_spec_id = 1; + * + * @return The bytes for primaryTableSpecId. + */ + public com.google.protobuf.ByteString getPrimaryTableSpecIdBytes() { + java.lang.Object ref = primaryTableSpecId_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + primaryTableSpecId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int TARGET_COLUMN_SPEC_ID_FIELD_NUMBER = 2; + private volatile java.lang.Object targetColumnSpecId_; + /** + * + * + * 
+   * column_spec_id of the primary table's column that should be used as the
+   * training & prediction target.
+   * This column must be non-nullable and have one of following data types
+   * (otherwise model creation will error):
+   * * CATEGORY
+   * * FLOAT64
+   * If the type is CATEGORY , only up to
+   * 100 unique values may exist in that column across all rows.
+   * NOTE: Updates of this field will instantly affect any other users
+   * concurrently working with the dataset.
+   *
+ * + * string target_column_spec_id = 2; + * + * @return The targetColumnSpecId. + */ + public java.lang.String getTargetColumnSpecId() { + java.lang.Object ref = targetColumnSpecId_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + targetColumnSpecId_ = s; + return s; + } + } + /** + * + * + * 
+   * column_spec_id of the primary table's column that should be used as the
+   * training & prediction target.
+   * This column must be non-nullable and have one of following data types
+   * (otherwise model creation will error):
+   * * CATEGORY
+   * * FLOAT64
+   * If the type is CATEGORY , only up to
+   * 100 unique values may exist in that column across all rows.
+   * NOTE: Updates of this field will instantly affect any other users
+   * concurrently working with the dataset.
+   *
+ * + * string target_column_spec_id = 2; + * + * @return The bytes for targetColumnSpecId. + */ + public com.google.protobuf.ByteString getTargetColumnSpecIdBytes() { + java.lang.Object ref = targetColumnSpecId_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + targetColumnSpecId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int WEIGHT_COLUMN_SPEC_ID_FIELD_NUMBER = 3; + private volatile java.lang.Object weightColumnSpecId_; + /** + * + * + * 
+   * column_spec_id of the primary table's column that should be used as the
+   * weight column, i.e. the higher the value the more important the row will be
+   * during model training.
+   * Required type: FLOAT64.
+   * Allowed values: 0 to 10000, inclusive on both ends; 0 means the row is
+   *                 ignored for training.
+   * If not set all rows are assumed to have equal weight of 1.
+   * NOTE: Updates of this field will instantly affect any other users
+   * concurrently working with the dataset.
+   *
+ * + * string weight_column_spec_id = 3; + * + * @return The weightColumnSpecId. + */ + public java.lang.String getWeightColumnSpecId() { + java.lang.Object ref = weightColumnSpecId_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + weightColumnSpecId_ = s; + return s; + } + } + /** + * + * + * 
+   * column_spec_id of the primary table's column that should be used as the
+   * weight column, i.e. the higher the value the more important the row will be
+   * during model training.
+   * Required type: FLOAT64.
+   * Allowed values: 0 to 10000, inclusive on both ends; 0 means the row is
+   *                 ignored for training.
+   * If not set all rows are assumed to have equal weight of 1.
+   * NOTE: Updates of this field will instantly affect any other users
+   * concurrently working with the dataset.
+   *
+ * + * string weight_column_spec_id = 3; + * + * @return The bytes for weightColumnSpecId. + */ + public com.google.protobuf.ByteString getWeightColumnSpecIdBytes() { + java.lang.Object ref = weightColumnSpecId_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + weightColumnSpecId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int ML_USE_COLUMN_SPEC_ID_FIELD_NUMBER = 4; + private volatile java.lang.Object mlUseColumnSpecId_; + /** + * + * + * 
+   * column_spec_id of the primary table column which specifies a possible ML
+   * use of the row, i.e. the column will be used to split the rows into TRAIN,
+   * VALIDATE and TEST sets.
+   * Required type: STRING.
+   * This column, if set, must either have all of `TRAIN`, `VALIDATE`, `TEST`
+   * among its values, or only have `TEST`, `UNASSIGNED` values. In the latter
+   * case the rows with `UNASSIGNED` value will be assigned by AutoML. Note
+   * that if a given ml use distribution makes it impossible to create a "good"
+   * model, that call will error describing the issue.
+   * If both this column_spec_id and primary table's time_column_spec_id are not
+   * set, then all rows are treated as `UNASSIGNED`.
+   * NOTE: Updates of this field will instantly affect any other users
+   * concurrently working with the dataset.
+   *
+ * + * string ml_use_column_spec_id = 4; + * + * @return The mlUseColumnSpecId. + */ + public java.lang.String getMlUseColumnSpecId() { + java.lang.Object ref = mlUseColumnSpecId_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + mlUseColumnSpecId_ = s; + return s; + } + } + /** + * + * + * 
+   * column_spec_id of the primary table column which specifies a possible ML
+   * use of the row, i.e. the column will be used to split the rows into TRAIN,
+   * VALIDATE and TEST sets.
+   * Required type: STRING.
+   * This column, if set, must either have all of `TRAIN`, `VALIDATE`, `TEST`
+   * among its values, or only have `TEST`, `UNASSIGNED` values. In the latter
+   * case the rows with `UNASSIGNED` value will be assigned by AutoML. Note
+   * that if a given ml use distribution makes it impossible to create a "good"
+   * model, that call will error describing the issue.
+   * If both this column_spec_id and primary table's time_column_spec_id are not
+   * set, then all rows are treated as `UNASSIGNED`.
+   * NOTE: Updates of this field will instantly affect any other users
+   * concurrently working with the dataset.
+   *
+ * + * string ml_use_column_spec_id = 4; + * + * @return The bytes for mlUseColumnSpecId. + */ + public com.google.protobuf.ByteString getMlUseColumnSpecIdBytes() { + java.lang.Object ref = mlUseColumnSpecId_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + mlUseColumnSpecId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int TARGET_COLUMN_CORRELATIONS_FIELD_NUMBER = 6; + + private static final class TargetColumnCorrelationsDefaultEntryHolder { + static final com.google.protobuf.MapEntry< + java.lang.String, com.google.cloud.automl.v1beta1.CorrelationStats> + defaultEntry = + com.google.protobuf.MapEntry + . + newDefaultInstance( + com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_TargetColumnCorrelationsEntry_descriptor, + com.google.protobuf.WireFormat.FieldType.STRING, + "", + com.google.protobuf.WireFormat.FieldType.MESSAGE, + com.google.cloud.automl.v1beta1.CorrelationStats.getDefaultInstance()); + } + + private com.google.protobuf.MapField< + java.lang.String, com.google.cloud.automl.v1beta1.CorrelationStats> + targetColumnCorrelations_; + + private com.google.protobuf.MapField< + java.lang.String, com.google.cloud.automl.v1beta1.CorrelationStats> + internalGetTargetColumnCorrelations() { + if (targetColumnCorrelations_ == null) { + return com.google.protobuf.MapField.emptyMapField( + TargetColumnCorrelationsDefaultEntryHolder.defaultEntry); + } + return targetColumnCorrelations_; + } + + public int getTargetColumnCorrelationsCount() { + return internalGetTargetColumnCorrelations().getMap().size(); + } + /** + * + * + * 
+   * Output only. Correlations between
+   * [TablesDatasetMetadata.target_column_spec_id][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column_spec_id],
+   * and other columns of the
+   * [TablesDatasetMetadataprimary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+   * Only set if the target column is set. Mapping from other column spec id to
+   * its CorrelationStats with the target column.
+   * This field may be stale, see the stats_update_time field for
+   * for the timestamp at which these stats were last updated.
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + public boolean containsTargetColumnCorrelations(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetTargetColumnCorrelations().getMap().containsKey(key); + } + /** Use {@link #getTargetColumnCorrelationsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map + getTargetColumnCorrelations() { + return getTargetColumnCorrelationsMap(); + } + /** + * + * + * 
+   * Output only. Correlations between
+   * [TablesDatasetMetadata.target_column_spec_id][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column_spec_id],
+   * and other columns of the
+   * [TablesDatasetMetadataprimary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+   * Only set if the target column is set. Mapping from other column spec id to
+   * its CorrelationStats with the target column.
+   * This field may be stale, see the stats_update_time field for
+   * for the timestamp at which these stats were last updated.
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + public java.util.Map + getTargetColumnCorrelationsMap() { + return internalGetTargetColumnCorrelations().getMap(); + } + /** + * + * + * 
+   * Output only. Correlations between
+   * [TablesDatasetMetadata.target_column_spec_id][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column_spec_id],
+   * and other columns of the
+   * [TablesDatasetMetadataprimary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+   * Only set if the target column is set. Mapping from other column spec id to
+   * its CorrelationStats with the target column.
+   * This field may be stale, see the stats_update_time field for
+   * for the timestamp at which these stats were last updated.
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + public com.google.cloud.automl.v1beta1.CorrelationStats getTargetColumnCorrelationsOrDefault( + java.lang.String key, com.google.cloud.automl.v1beta1.CorrelationStats defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = + internalGetTargetColumnCorrelations().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+   * Output only. Correlations between
+   * [TablesDatasetMetadata.target_column_spec_id][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column_spec_id],
+   * and other columns of the
+   * [TablesDatasetMetadataprimary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+   * Only set if the target column is set. Mapping from other column spec id to
+   * its CorrelationStats with the target column.
+   * This field may be stale, see the stats_update_time field for
+   * for the timestamp at which these stats were last updated.
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + public com.google.cloud.automl.v1beta1.CorrelationStats getTargetColumnCorrelationsOrThrow( + java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = + internalGetTargetColumnCorrelations().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + public static final int STATS_UPDATE_TIME_FIELD_NUMBER = 7; + private com.google.protobuf.Timestamp statsUpdateTime_; + /** + * + * + * 
+   * Output only. The most recent timestamp when target_column_correlations
+   * field and all descendant ColumnSpec.data_stats and
+   * ColumnSpec.top_correlated_columns fields were last (re-)generated. Any
+   * changes that happened to the dataset afterwards are not reflected in these
+   * fields values. The regeneration happens in the background on a best effort
+   * basis.
+   *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + * + * @return Whether the statsUpdateTime field is set. + */ + public boolean hasStatsUpdateTime() { + return statsUpdateTime_ != null; + } + /** + * + * + * 
+   * Output only. The most recent timestamp when target_column_correlations
+   * field and all descendant ColumnSpec.data_stats and
+   * ColumnSpec.top_correlated_columns fields were last (re-)generated. Any
+   * changes that happened to the dataset afterwards are not reflected in these
+   * fields values. The regeneration happens in the background on a best effort
+   * basis.
+   *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + * + * @return The statsUpdateTime. + */ + public com.google.protobuf.Timestamp getStatsUpdateTime() { + return statsUpdateTime_ == null + ? com.google.protobuf.Timestamp.getDefaultInstance() + : statsUpdateTime_; + } + /** + * + * + * 
+   * Output only. The most recent timestamp when target_column_correlations
+   * field and all descendant ColumnSpec.data_stats and
+   * ColumnSpec.top_correlated_columns fields were last (re-)generated. Any
+   * changes that happened to the dataset afterwards are not reflected in these
+   * fields values. The regeneration happens in the background on a best effort
+   * basis.
+   *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + */ + public com.google.protobuf.TimestampOrBuilder getStatsUpdateTimeOrBuilder() { + return getStatsUpdateTime(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getPrimaryTableSpecIdBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, primaryTableSpecId_); + } + if (!getTargetColumnSpecIdBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 2, targetColumnSpecId_); + } + if (!getWeightColumnSpecIdBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 3, weightColumnSpecId_); + } + if (!getMlUseColumnSpecIdBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 4, mlUseColumnSpecId_); + } + com.google.protobuf.GeneratedMessageV3.serializeStringMapTo( + output, + internalGetTargetColumnCorrelations(), + TargetColumnCorrelationsDefaultEntryHolder.defaultEntry, + 6); + if (statsUpdateTime_ != null) { + output.writeMessage(7, getStatsUpdateTime()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getPrimaryTableSpecIdBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, primaryTableSpecId_); + } + if (!getTargetColumnSpecIdBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, targetColumnSpecId_); + } + if (!getWeightColumnSpecIdBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, weightColumnSpecId_); + } + if (!getMlUseColumnSpecIdBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(4, mlUseColumnSpecId_); + } + for (java.util.Map.Entry + entry : internalGetTargetColumnCorrelations().getMap().entrySet()) { + com.google.protobuf.MapEntry< + java.lang.String, com.google.cloud.automl.v1beta1.CorrelationStats> + targetColumnCorrelations__ = + TargetColumnCorrelationsDefaultEntryHolder.defaultEntry + .newBuilderForType() + .setKey(entry.getKey()) + .setValue(entry.getValue()) + .build(); + size += + com.google.protobuf.CodedOutputStream.computeMessageSize(6, targetColumnCorrelations__); + } + if (statsUpdateTime_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(7, getStatsUpdateTime()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TablesDatasetMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TablesDatasetMetadata other = + (com.google.cloud.automl.v1beta1.TablesDatasetMetadata) obj; + + if (!getPrimaryTableSpecId().equals(other.getPrimaryTableSpecId())) return false; + if (!getTargetColumnSpecId().equals(other.getTargetColumnSpecId())) return false; + if (!getWeightColumnSpecId().equals(other.getWeightColumnSpecId())) return false; + if (!getMlUseColumnSpecId().equals(other.getMlUseColumnSpecId())) return false; + if (!internalGetTargetColumnCorrelations().equals(other.internalGetTargetColumnCorrelations())) + return false; + if (hasStatsUpdateTime() != other.hasStatsUpdateTime()) return false; + if (hasStatsUpdateTime()) { + if (!getStatsUpdateTime().equals(other.getStatsUpdateTime())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + PRIMARY_TABLE_SPEC_ID_FIELD_NUMBER; + hash = (53 * hash) + getPrimaryTableSpecId().hashCode(); + hash = (37 * hash) + TARGET_COLUMN_SPEC_ID_FIELD_NUMBER; + hash = (53 * hash) + getTargetColumnSpecId().hashCode(); + hash = (37 * hash) + WEIGHT_COLUMN_SPEC_ID_FIELD_NUMBER; + hash = (53 * hash) + getWeightColumnSpecId().hashCode(); + hash = (37 * hash) + ML_USE_COLUMN_SPEC_ID_FIELD_NUMBER; + hash = (53 * hash) + getMlUseColumnSpecId().hashCode(); + if (!internalGetTargetColumnCorrelations().getMap().isEmpty()) { + hash = (37 * hash) + TARGET_COLUMN_CORRELATIONS_FIELD_NUMBER; + hash = (53 * hash) + internalGetTargetColumnCorrelations().hashCode(); + } + if (hasStatsUpdateTime()) { + hash = (37 * hash) + STATS_UPDATE_TIME_FIELD_NUMBER; + hash = (53 * hash) + getStatsUpdateTime().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TablesDatasetMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TablesDatasetMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesDatasetMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TablesDatasetMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesDatasetMetadata parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TablesDatasetMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesDatasetMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TablesDatasetMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesDatasetMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TablesDatasetMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesDatasetMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TablesDatasetMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TablesDatasetMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Metadata for a dataset used for AutoML Tables.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TablesDatasetMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TablesDatasetMetadata) + com.google.cloud.automl.v1beta1.TablesDatasetMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 6: + return internalGetTargetColumnCorrelations(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMutableMapField(int number) { + switch (number) { + case 6: + return internalGetMutableTargetColumnCorrelations(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TablesDatasetMetadata.class, + com.google.cloud.automl.v1beta1.TablesDatasetMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TablesDatasetMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + primaryTableSpecId_ = ""; + + targetColumnSpecId_ = ""; + + weightColumnSpecId_ = ""; + + mlUseColumnSpecId_ = ""; + + internalGetMutableTargetColumnCorrelations().clear(); + if (statsUpdateTimeBuilder_ == null) { + statsUpdateTime_ = null; + } else { + statsUpdateTime_ = null; + statsUpdateTimeBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesDatasetMetadata getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TablesDatasetMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesDatasetMetadata build() { + com.google.cloud.automl.v1beta1.TablesDatasetMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesDatasetMetadata buildPartial() { + com.google.cloud.automl.v1beta1.TablesDatasetMetadata result = + new com.google.cloud.automl.v1beta1.TablesDatasetMetadata(this); + int from_bitField0_ = bitField0_; + result.primaryTableSpecId_ = primaryTableSpecId_; + result.targetColumnSpecId_ = targetColumnSpecId_; + result.weightColumnSpecId_ = weightColumnSpecId_; + result.mlUseColumnSpecId_ = mlUseColumnSpecId_; + result.targetColumnCorrelations_ = internalGetTargetColumnCorrelations(); + result.targetColumnCorrelations_.makeImmutable(); + if (statsUpdateTimeBuilder_ == null) { + result.statsUpdateTime_ = statsUpdateTime_; + } else { + result.statsUpdateTime_ = statsUpdateTimeBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TablesDatasetMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.TablesDatasetMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TablesDatasetMetadata other) { + if (other == com.google.cloud.automl.v1beta1.TablesDatasetMetadata.getDefaultInstance()) + return this; + if (!other.getPrimaryTableSpecId().isEmpty()) { + primaryTableSpecId_ = other.primaryTableSpecId_; + onChanged(); + } + if (!other.getTargetColumnSpecId().isEmpty()) { + targetColumnSpecId_ = other.targetColumnSpecId_; + onChanged(); + } + if (!other.getWeightColumnSpecId().isEmpty()) { + weightColumnSpecId_ = other.weightColumnSpecId_; + onChanged(); + } + if (!other.getMlUseColumnSpecId().isEmpty()) { + mlUseColumnSpecId_ = other.mlUseColumnSpecId_; + onChanged(); + } + internalGetMutableTargetColumnCorrelations() + .mergeFrom(other.internalGetTargetColumnCorrelations()); + if (other.hasStatsUpdateTime()) { + mergeStatsUpdateTime(other.getStatsUpdateTime()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TablesDatasetMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TablesDatasetMetadata) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private java.lang.Object primaryTableSpecId_ = ""; + /** + * + * + * 
+     * Output only. The table_spec_id of the primary table of this dataset.
+     *
+ * + * string primary_table_spec_id = 1; + * + * @return The primaryTableSpecId. + */ + public java.lang.String getPrimaryTableSpecId() { + java.lang.Object ref = primaryTableSpecId_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + primaryTableSpecId_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Output only. The table_spec_id of the primary table of this dataset.
+     *
+ * + * string primary_table_spec_id = 1; + * + * @return The bytes for primaryTableSpecId. + */ + public com.google.protobuf.ByteString getPrimaryTableSpecIdBytes() { + java.lang.Object ref = primaryTableSpecId_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + primaryTableSpecId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Output only. The table_spec_id of the primary table of this dataset.
+     *
+ * + * string primary_table_spec_id = 1; + * + * @param value The primaryTableSpecId to set. + * @return This builder for chaining. + */ + public Builder setPrimaryTableSpecId(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + primaryTableSpecId_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The table_spec_id of the primary table of this dataset.
+     *
+ * + * string primary_table_spec_id = 1; + * + * @return This builder for chaining. + */ + public Builder clearPrimaryTableSpecId() { + + primaryTableSpecId_ = getDefaultInstance().getPrimaryTableSpecId(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The table_spec_id of the primary table of this dataset.
+     *
+ * + * string primary_table_spec_id = 1; + * + * @param value The bytes for primaryTableSpecId to set. + * @return This builder for chaining. + */ + public Builder setPrimaryTableSpecIdBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + primaryTableSpecId_ = value; + onChanged(); + return this; + } + + private java.lang.Object targetColumnSpecId_ = ""; + /** + * + * + * 
+     * column_spec_id of the primary table's column that should be used as the
+     * training & prediction target.
+     * This column must be non-nullable and have one of following data types
+     * (otherwise model creation will error):
+     * * CATEGORY
+     * * FLOAT64
+     * If the type is CATEGORY , only up to
+     * 100 unique values may exist in that column across all rows.
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string target_column_spec_id = 2; + * + * @return The targetColumnSpecId. + */ + public java.lang.String getTargetColumnSpecId() { + java.lang.Object ref = targetColumnSpecId_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + targetColumnSpecId_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * column_spec_id of the primary table's column that should be used as the
+     * training & prediction target.
+     * This column must be non-nullable and have one of following data types
+     * (otherwise model creation will error):
+     * * CATEGORY
+     * * FLOAT64
+     * If the type is CATEGORY , only up to
+     * 100 unique values may exist in that column across all rows.
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string target_column_spec_id = 2; + * + * @return The bytes for targetColumnSpecId. + */ + public com.google.protobuf.ByteString getTargetColumnSpecIdBytes() { + java.lang.Object ref = targetColumnSpecId_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + targetColumnSpecId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * column_spec_id of the primary table's column that should be used as the
+     * training & prediction target.
+     * This column must be non-nullable and have one of following data types
+     * (otherwise model creation will error):
+     * * CATEGORY
+     * * FLOAT64
+     * If the type is CATEGORY , only up to
+     * 100 unique values may exist in that column across all rows.
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string target_column_spec_id = 2; + * + * @param value The targetColumnSpecId to set. + * @return This builder for chaining. + */ + public Builder setTargetColumnSpecId(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + targetColumnSpecId_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * column_spec_id of the primary table's column that should be used as the
+     * training & prediction target.
+     * This column must be non-nullable and have one of following data types
+     * (otherwise model creation will error):
+     * * CATEGORY
+     * * FLOAT64
+     * If the type is CATEGORY , only up to
+     * 100 unique values may exist in that column across all rows.
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string target_column_spec_id = 2; + * + * @return This builder for chaining. + */ + public Builder clearTargetColumnSpecId() { + + targetColumnSpecId_ = getDefaultInstance().getTargetColumnSpecId(); + onChanged(); + return this; + } + /** + * + * + * 
+     * column_spec_id of the primary table's column that should be used as the
+     * training & prediction target.
+     * This column must be non-nullable and have one of following data types
+     * (otherwise model creation will error):
+     * * CATEGORY
+     * * FLOAT64
+     * If the type is CATEGORY , only up to
+     * 100 unique values may exist in that column across all rows.
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string target_column_spec_id = 2; + * + * @param value The bytes for targetColumnSpecId to set. + * @return This builder for chaining. + */ + public Builder setTargetColumnSpecIdBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + targetColumnSpecId_ = value; + onChanged(); + return this; + } + + private java.lang.Object weightColumnSpecId_ = ""; + /** + * + * + * 
+     * column_spec_id of the primary table's column that should be used as the
+     * weight column, i.e. the higher the value the more important the row will be
+     * during model training.
+     * Required type: FLOAT64.
+     * Allowed values: 0 to 10000, inclusive on both ends; 0 means the row is
+     *                 ignored for training.
+     * If not set all rows are assumed to have equal weight of 1.
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string weight_column_spec_id = 3; + * + * @return The weightColumnSpecId. + */ + public java.lang.String getWeightColumnSpecId() { + java.lang.Object ref = weightColumnSpecId_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + weightColumnSpecId_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * column_spec_id of the primary table's column that should be used as the
+     * weight column, i.e. the higher the value the more important the row will be
+     * during model training.
+     * Required type: FLOAT64.
+     * Allowed values: 0 to 10000, inclusive on both ends; 0 means the row is
+     *                 ignored for training.
+     * If not set all rows are assumed to have equal weight of 1.
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string weight_column_spec_id = 3; + * + * @return The bytes for weightColumnSpecId. + */ + public com.google.protobuf.ByteString getWeightColumnSpecIdBytes() { + java.lang.Object ref = weightColumnSpecId_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + weightColumnSpecId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * column_spec_id of the primary table's column that should be used as the
+     * weight column, i.e. the higher the value the more important the row will be
+     * during model training.
+     * Required type: FLOAT64.
+     * Allowed values: 0 to 10000, inclusive on both ends; 0 means the row is
+     *                 ignored for training.
+     * If not set all rows are assumed to have equal weight of 1.
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string weight_column_spec_id = 3; + * + * @param value The weightColumnSpecId to set. + * @return This builder for chaining. + */ + public Builder setWeightColumnSpecId(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + weightColumnSpecId_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * column_spec_id of the primary table's column that should be used as the
+     * weight column, i.e. the higher the value the more important the row will be
+     * during model training.
+     * Required type: FLOAT64.
+     * Allowed values: 0 to 10000, inclusive on both ends; 0 means the row is
+     *                 ignored for training.
+     * If not set all rows are assumed to have equal weight of 1.
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string weight_column_spec_id = 3; + * + * @return This builder for chaining. + */ + public Builder clearWeightColumnSpecId() { + + weightColumnSpecId_ = getDefaultInstance().getWeightColumnSpecId(); + onChanged(); + return this; + } + /** + * + * + * 
+     * column_spec_id of the primary table's column that should be used as the
+     * weight column, i.e. the higher the value the more important the row will be
+     * during model training.
+     * Required type: FLOAT64.
+     * Allowed values: 0 to 10000, inclusive on both ends; 0 means the row is
+     *                 ignored for training.
+     * If not set all rows are assumed to have equal weight of 1.
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string weight_column_spec_id = 3; + * + * @param value The bytes for weightColumnSpecId to set. + * @return This builder for chaining. + */ + public Builder setWeightColumnSpecIdBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + weightColumnSpecId_ = value; + onChanged(); + return this; + } + + private java.lang.Object mlUseColumnSpecId_ = ""; + /** + * + * + * 
+     * column_spec_id of the primary table column which specifies a possible ML
+     * use of the row, i.e. the column will be used to split the rows into TRAIN,
+     * VALIDATE and TEST sets.
+     * Required type: STRING.
+     * This column, if set, must either have all of `TRAIN`, `VALIDATE`, `TEST`
+     * among its values, or only have `TEST`, `UNASSIGNED` values. In the latter
+     * case the rows with `UNASSIGNED` value will be assigned by AutoML. Note
+     * that if a given ml use distribution makes it impossible to create a "good"
+     * model, that call will error describing the issue.
+     * If both this column_spec_id and primary table's time_column_spec_id are not
+     * set, then all rows are treated as `UNASSIGNED`.
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string ml_use_column_spec_id = 4; + * + * @return The mlUseColumnSpecId. + */ + public java.lang.String getMlUseColumnSpecId() { + java.lang.Object ref = mlUseColumnSpecId_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + mlUseColumnSpecId_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * column_spec_id of the primary table column which specifies a possible ML
+     * use of the row, i.e. the column will be used to split the rows into TRAIN,
+     * VALIDATE and TEST sets.
+     * Required type: STRING.
+     * This column, if set, must either have all of `TRAIN`, `VALIDATE`, `TEST`
+     * among its values, or only have `TEST`, `UNASSIGNED` values. In the latter
+     * case the rows with `UNASSIGNED` value will be assigned by AutoML. Note
+     * that if a given ml use distribution makes it impossible to create a "good"
+     * model, that call will error describing the issue.
+     * If both this column_spec_id and primary table's time_column_spec_id are not
+     * set, then all rows are treated as `UNASSIGNED`.
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string ml_use_column_spec_id = 4; + * + * @return The bytes for mlUseColumnSpecId. + */ + public com.google.protobuf.ByteString getMlUseColumnSpecIdBytes() { + java.lang.Object ref = mlUseColumnSpecId_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + mlUseColumnSpecId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * column_spec_id of the primary table column which specifies a possible ML
+     * use of the row, i.e. the column will be used to split the rows into TRAIN,
+     * VALIDATE and TEST sets.
+     * Required type: STRING.
+     * This column, if set, must either have all of `TRAIN`, `VALIDATE`, `TEST`
+     * among its values, or only have `TEST`, `UNASSIGNED` values. In the latter
+     * case the rows with `UNASSIGNED` value will be assigned by AutoML. Note
+     * that if a given ml use distribution makes it impossible to create a "good"
+     * model, that call will error describing the issue.
+     * If both this column_spec_id and primary table's time_column_spec_id are not
+     * set, then all rows are treated as `UNASSIGNED`.
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string ml_use_column_spec_id = 4; + * + * @param value The mlUseColumnSpecId to set. + * @return This builder for chaining. + */ + public Builder setMlUseColumnSpecId(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + mlUseColumnSpecId_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * column_spec_id of the primary table column which specifies a possible ML
+     * use of the row, i.e. the column will be used to split the rows into TRAIN,
+     * VALIDATE and TEST sets.
+     * Required type: STRING.
+     * This column, if set, must either have all of `TRAIN`, `VALIDATE`, `TEST`
+     * among its values, or only have `TEST`, `UNASSIGNED` values. In the latter
+     * case the rows with `UNASSIGNED` value will be assigned by AutoML. Note
+     * that if a given ml use distribution makes it impossible to create a "good"
+     * model, that call will error describing the issue.
+     * If both this column_spec_id and primary table's time_column_spec_id are not
+     * set, then all rows are treated as `UNASSIGNED`.
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string ml_use_column_spec_id = 4; + * + * @return This builder for chaining. + */ + public Builder clearMlUseColumnSpecId() { + + mlUseColumnSpecId_ = getDefaultInstance().getMlUseColumnSpecId(); + onChanged(); + return this; + } + /** + * + * + * 
+     * column_spec_id of the primary table column which specifies a possible ML
+     * use of the row, i.e. the column will be used to split the rows into TRAIN,
+     * VALIDATE and TEST sets.
+     * Required type: STRING.
+     * This column, if set, must either have all of `TRAIN`, `VALIDATE`, `TEST`
+     * among its values, or only have `TEST`, `UNASSIGNED` values. In the latter
+     * case the rows with `UNASSIGNED` value will be assigned by AutoML. Note
+     * that if a given ml use distribution makes it impossible to create a "good"
+     * model, that call will error describing the issue.
+     * If both this column_spec_id and primary table's time_column_spec_id are not
+     * set, then all rows are treated as `UNASSIGNED`.
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string ml_use_column_spec_id = 4; + * + * @param value The bytes for mlUseColumnSpecId to set. + * @return This builder for chaining. + */ + public Builder setMlUseColumnSpecIdBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + mlUseColumnSpecId_ = value; + onChanged(); + return this; + } + + private com.google.protobuf.MapField< + java.lang.String, com.google.cloud.automl.v1beta1.CorrelationStats> + targetColumnCorrelations_; + + private com.google.protobuf.MapField< + java.lang.String, com.google.cloud.automl.v1beta1.CorrelationStats> + internalGetTargetColumnCorrelations() { + if (targetColumnCorrelations_ == null) { + return com.google.protobuf.MapField.emptyMapField( + TargetColumnCorrelationsDefaultEntryHolder.defaultEntry); + } + return targetColumnCorrelations_; + } + + private com.google.protobuf.MapField< + java.lang.String, com.google.cloud.automl.v1beta1.CorrelationStats> + internalGetMutableTargetColumnCorrelations() { + onChanged(); + ; + if (targetColumnCorrelations_ == null) { + targetColumnCorrelations_ = + com.google.protobuf.MapField.newMapField( + TargetColumnCorrelationsDefaultEntryHolder.defaultEntry); + } + if (!targetColumnCorrelations_.isMutable()) { + targetColumnCorrelations_ = targetColumnCorrelations_.copy(); + } + return targetColumnCorrelations_; + } + + public int getTargetColumnCorrelationsCount() { + return internalGetTargetColumnCorrelations().getMap().size(); + } + /** + * + * + * 
+     * Output only. Correlations between
+     * [TablesDatasetMetadata.target_column_spec_id][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column_spec_id],
+     * and other columns of the
+     * [TablesDatasetMetadataprimary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+     * Only set if the target column is set. Mapping from other column spec id to
+     * its CorrelationStats with the target column.
+     * This field may be stale, see the stats_update_time field for
+     * for the timestamp at which these stats were last updated.
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + public boolean containsTargetColumnCorrelations(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetTargetColumnCorrelations().getMap().containsKey(key); + } + /** Use {@link #getTargetColumnCorrelationsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map + getTargetColumnCorrelations() { + return getTargetColumnCorrelationsMap(); + } + /** + * + * + * 
+     * Output only. Correlations between
+     * [TablesDatasetMetadata.target_column_spec_id][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column_spec_id],
+     * and other columns of the
+     * [TablesDatasetMetadataprimary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+     * Only set if the target column is set. Mapping from other column spec id to
+     * its CorrelationStats with the target column.
+     * This field may be stale, see the stats_update_time field for
+     * for the timestamp at which these stats were last updated.
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + public java.util.Map + getTargetColumnCorrelationsMap() { + return internalGetTargetColumnCorrelations().getMap(); + } + /** + * + * + * 
+     * Output only. Correlations between
+     * [TablesDatasetMetadata.target_column_spec_id][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column_spec_id],
+     * and other columns of the
+     * [TablesDatasetMetadataprimary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+     * Only set if the target column is set. Mapping from other column spec id to
+     * its CorrelationStats with the target column.
+     * This field may be stale, see the stats_update_time field for
+     * for the timestamp at which these stats were last updated.
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + public com.google.cloud.automl.v1beta1.CorrelationStats getTargetColumnCorrelationsOrDefault( + java.lang.String key, com.google.cloud.automl.v1beta1.CorrelationStats defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = + internalGetTargetColumnCorrelations().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+     * Output only. Correlations between
+     * [TablesDatasetMetadata.target_column_spec_id][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column_spec_id],
+     * and other columns of the
+     * [TablesDatasetMetadataprimary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+     * Only set if the target column is set. Mapping from other column spec id to
+     * its CorrelationStats with the target column.
+     * This field may be stale, see the stats_update_time field for
+     * for the timestamp at which these stats were last updated.
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + public com.google.cloud.automl.v1beta1.CorrelationStats getTargetColumnCorrelationsOrThrow( + java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = + internalGetTargetColumnCorrelations().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + public Builder clearTargetColumnCorrelations() { + internalGetMutableTargetColumnCorrelations().getMutableMap().clear(); + return this; + } + /** + * + * + * 
+     * Output only. Correlations between
+     * [TablesDatasetMetadata.target_column_spec_id][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column_spec_id],
+     * and other columns of the
+     * [TablesDatasetMetadataprimary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+     * Only set if the target column is set. Mapping from other column spec id to
+     * its CorrelationStats with the target column.
+     * This field may be stale, see the stats_update_time field for
+     * for the timestamp at which these stats were last updated.
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + public Builder removeTargetColumnCorrelations(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableTargetColumnCorrelations().getMutableMap().remove(key); + return this; + } + /** Use alternate mutation accessors instead. */ + @java.lang.Deprecated + public java.util.Map + getMutableTargetColumnCorrelations() { + return internalGetMutableTargetColumnCorrelations().getMutableMap(); + } + /** + * + * + * 
+     * Output only. Correlations between
+     * [TablesDatasetMetadata.target_column_spec_id][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column_spec_id],
+     * and other columns of the
+     * [TablesDatasetMetadataprimary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+     * Only set if the target column is set. Mapping from other column spec id to
+     * its CorrelationStats with the target column.
+     * This field may be stale, see the stats_update_time field for
+     * for the timestamp at which these stats were last updated.
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + public Builder putTargetColumnCorrelations( + java.lang.String key, com.google.cloud.automl.v1beta1.CorrelationStats value) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + if (value == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableTargetColumnCorrelations().getMutableMap().put(key, value); + return this; + } + /** + * + * + * 
+     * Output only. Correlations between
+     * [TablesDatasetMetadata.target_column_spec_id][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column_spec_id],
+     * and other columns of the
+     * [TablesDatasetMetadataprimary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+     * Only set if the target column is set. Mapping from other column spec id to
+     * its CorrelationStats with the target column.
+     * This field may be stale, see the stats_update_time field for
+     * for the timestamp at which these stats were last updated.
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + public Builder putAllTargetColumnCorrelations( + java.util.Map values) { + internalGetMutableTargetColumnCorrelations().getMutableMap().putAll(values); + return this; + } + + private com.google.protobuf.Timestamp statsUpdateTime_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Timestamp, + com.google.protobuf.Timestamp.Builder, + com.google.protobuf.TimestampOrBuilder> + statsUpdateTimeBuilder_; + /** + * + * + * 
+     * Output only. The most recent timestamp when target_column_correlations
+     * field and all descendant ColumnSpec.data_stats and
+     * ColumnSpec.top_correlated_columns fields were last (re-)generated. Any
+     * changes that happened to the dataset afterwards are not reflected in these
+     * fields values. The regeneration happens in the background on a best effort
+     * basis.
+     *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + * + * @return Whether the statsUpdateTime field is set. + */ + public boolean hasStatsUpdateTime() { + return statsUpdateTimeBuilder_ != null || statsUpdateTime_ != null; + } + /** + * + * + * 
+     * Output only. The most recent timestamp when target_column_correlations
+     * field and all descendant ColumnSpec.data_stats and
+     * ColumnSpec.top_correlated_columns fields were last (re-)generated. Any
+     * changes that happened to the dataset afterwards are not reflected in these
+     * fields values. The regeneration happens in the background on a best effort
+     * basis.
+     *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + * + * @return The statsUpdateTime. + */ + public com.google.protobuf.Timestamp getStatsUpdateTime() { + if (statsUpdateTimeBuilder_ == null) { + return statsUpdateTime_ == null + ? com.google.protobuf.Timestamp.getDefaultInstance() + : statsUpdateTime_; + } else { + return statsUpdateTimeBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Output only. The most recent timestamp when target_column_correlations
+     * field and all descendant ColumnSpec.data_stats and
+     * ColumnSpec.top_correlated_columns fields were last (re-)generated. Any
+     * changes that happened to the dataset afterwards are not reflected in these
+     * fields values. The regeneration happens in the background on a best effort
+     * basis.
+     *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + */ + public Builder setStatsUpdateTime(com.google.protobuf.Timestamp value) { + if (statsUpdateTimeBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + statsUpdateTime_ = value; + onChanged(); + } else { + statsUpdateTimeBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. The most recent timestamp when target_column_correlations
+     * field and all descendant ColumnSpec.data_stats and
+     * ColumnSpec.top_correlated_columns fields were last (re-)generated. Any
+     * changes that happened to the dataset afterwards are not reflected in these
+     * fields values. The regeneration happens in the background on a best effort
+     * basis.
+     *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + */ + public Builder setStatsUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue) { + if (statsUpdateTimeBuilder_ == null) { + statsUpdateTime_ = builderForValue.build(); + onChanged(); + } else { + statsUpdateTimeBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Output only. The most recent timestamp when target_column_correlations
+     * field and all descendant ColumnSpec.data_stats and
+     * ColumnSpec.top_correlated_columns fields were last (re-)generated. Any
+     * changes that happened to the dataset afterwards are not reflected in these
+     * fields values. The regeneration happens in the background on a best effort
+     * basis.
+     *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + */ + public Builder mergeStatsUpdateTime(com.google.protobuf.Timestamp value) { + if (statsUpdateTimeBuilder_ == null) { + if (statsUpdateTime_ != null) { + statsUpdateTime_ = + com.google.protobuf.Timestamp.newBuilder(statsUpdateTime_) + .mergeFrom(value) + .buildPartial(); + } else { + statsUpdateTime_ = value; + } + onChanged(); + } else { + statsUpdateTimeBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. The most recent timestamp when target_column_correlations
+     * field and all descendant ColumnSpec.data_stats and
+     * ColumnSpec.top_correlated_columns fields were last (re-)generated. Any
+     * changes that happened to the dataset afterwards are not reflected in these
+     * fields values. The regeneration happens in the background on a best effort
+     * basis.
+     *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + */ + public Builder clearStatsUpdateTime() { + if (statsUpdateTimeBuilder_ == null) { + statsUpdateTime_ = null; + onChanged(); + } else { + statsUpdateTime_ = null; + statsUpdateTimeBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Output only. The most recent timestamp when target_column_correlations
+     * field and all descendant ColumnSpec.data_stats and
+     * ColumnSpec.top_correlated_columns fields were last (re-)generated. Any
+     * changes that happened to the dataset afterwards are not reflected in these
+     * fields values. The regeneration happens in the background on a best effort
+     * basis.
+     *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + */ + public com.google.protobuf.Timestamp.Builder getStatsUpdateTimeBuilder() { + + onChanged(); + return getStatsUpdateTimeFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Output only. The most recent timestamp when target_column_correlations
+     * field and all descendant ColumnSpec.data_stats and
+     * ColumnSpec.top_correlated_columns fields were last (re-)generated. Any
+     * changes that happened to the dataset afterwards are not reflected in these
+     * fields values. The regeneration happens in the background on a best effort
+     * basis.
+     *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + */ + public com.google.protobuf.TimestampOrBuilder getStatsUpdateTimeOrBuilder() { + if (statsUpdateTimeBuilder_ != null) { + return statsUpdateTimeBuilder_.getMessageOrBuilder(); + } else { + return statsUpdateTime_ == null + ? com.google.protobuf.Timestamp.getDefaultInstance() + : statsUpdateTime_; + } + } + /** + * + * + * 
+     * Output only. The most recent timestamp when target_column_correlations
+     * field and all descendant ColumnSpec.data_stats and
+     * ColumnSpec.top_correlated_columns fields were last (re-)generated. Any
+     * changes that happened to the dataset afterwards are not reflected in these
+     * fields values. The regeneration happens in the background on a best effort
+     * basis.
+     *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Timestamp, + com.google.protobuf.Timestamp.Builder, + com.google.protobuf.TimestampOrBuilder> + getStatsUpdateTimeFieldBuilder() { + if (statsUpdateTimeBuilder_ == null) { + statsUpdateTimeBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Timestamp, + com.google.protobuf.Timestamp.Builder, + com.google.protobuf.TimestampOrBuilder>( + getStatsUpdateTime(), getParentForChildren(), isClean()); + statsUpdateTime_ = null; + } + return statsUpdateTimeBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TablesDatasetMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TablesDatasetMetadata) + private static final com.google.cloud.automl.v1beta1.TablesDatasetMetadata DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TablesDatasetMetadata(); + } + + public static com.google.cloud.automl.v1beta1.TablesDatasetMetadata getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TablesDatasetMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TablesDatasetMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesDatasetMetadata getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesDatasetMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesDatasetMetadataOrBuilder.java new file mode 100644 index 000000000..8de254bf8 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesDatasetMetadataOrBuilder.java @@ -0,0 +1,336 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/tables.proto + +package com.google.cloud.automl.v1beta1; + +public interface TablesDatasetMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TablesDatasetMetadata) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Output only. The table_spec_id of the primary table of this dataset.
+   *
+ * + * string primary_table_spec_id = 1; + * + * @return The primaryTableSpecId. + */ + java.lang.String getPrimaryTableSpecId(); + /** + * + * + * 
+   * Output only. The table_spec_id of the primary table of this dataset.
+   *
+ * + * string primary_table_spec_id = 1; + * + * @return The bytes for primaryTableSpecId. + */ + com.google.protobuf.ByteString getPrimaryTableSpecIdBytes(); + + /** + * + * + * 
+   * column_spec_id of the primary table's column that should be used as the
+   * training & prediction target.
+   * This column must be non-nullable and have one of following data types
+   * (otherwise model creation will error):
+   * * CATEGORY
+   * * FLOAT64
+   * If the type is CATEGORY , only up to
+   * 100 unique values may exist in that column across all rows.
+   * NOTE: Updates of this field will instantly affect any other users
+   * concurrently working with the dataset.
+   *
+ * + * string target_column_spec_id = 2; + * + * @return The targetColumnSpecId. + */ + java.lang.String getTargetColumnSpecId(); + /** + * + * + * 
+   * column_spec_id of the primary table's column that should be used as the
+   * training & prediction target.
+   * This column must be non-nullable and have one of following data types
+   * (otherwise model creation will error):
+   * * CATEGORY
+   * * FLOAT64
+   * If the type is CATEGORY , only up to
+   * 100 unique values may exist in that column across all rows.
+   * NOTE: Updates of this field will instantly affect any other users
+   * concurrently working with the dataset.
+   *
+ * + * string target_column_spec_id = 2; + * + * @return The bytes for targetColumnSpecId. + */ + com.google.protobuf.ByteString getTargetColumnSpecIdBytes(); + + /** + * + * + * 
+   * column_spec_id of the primary table's column that should be used as the
+   * weight column, i.e. the higher the value the more important the row will be
+   * during model training.
+   * Required type: FLOAT64.
+   * Allowed values: 0 to 10000, inclusive on both ends; 0 means the row is
+   *                 ignored for training.
+   * If not set all rows are assumed to have equal weight of 1.
+   * NOTE: Updates of this field will instantly affect any other users
+   * concurrently working with the dataset.
+   *
+ * + * string weight_column_spec_id = 3; + * + * @return The weightColumnSpecId. + */ + java.lang.String getWeightColumnSpecId(); + /** + * + * + * 
+   * column_spec_id of the primary table's column that should be used as the
+   * weight column, i.e. the higher the value the more important the row will be
+   * during model training.
+   * Required type: FLOAT64.
+   * Allowed values: 0 to 10000, inclusive on both ends; 0 means the row is
+   *                 ignored for training.
+   * If not set all rows are assumed to have equal weight of 1.
+   * NOTE: Updates of this field will instantly affect any other users
+   * concurrently working with the dataset.
+   *
+ * + * string weight_column_spec_id = 3; + * + * @return The bytes for weightColumnSpecId. + */ + com.google.protobuf.ByteString getWeightColumnSpecIdBytes(); + + /** + * + * + * 
+   * column_spec_id of the primary table column which specifies a possible ML
+   * use of the row, i.e. the column will be used to split the rows into TRAIN,
+   * VALIDATE and TEST sets.
+   * Required type: STRING.
+   * This column, if set, must either have all of `TRAIN`, `VALIDATE`, `TEST`
+   * among its values, or only have `TEST`, `UNASSIGNED` values. In the latter
+   * case the rows with `UNASSIGNED` value will be assigned by AutoML. Note
+   * that if a given ml use distribution makes it impossible to create a "good"
+   * model, that call will error describing the issue.
+   * If both this column_spec_id and primary table's time_column_spec_id are not
+   * set, then all rows are treated as `UNASSIGNED`.
+   * NOTE: Updates of this field will instantly affect any other users
+   * concurrently working with the dataset.
+   *
+ * + * string ml_use_column_spec_id = 4; + * + * @return The mlUseColumnSpecId. + */ + java.lang.String getMlUseColumnSpecId(); + /** + * + * + * 
+   * column_spec_id of the primary table column which specifies a possible ML
+   * use of the row, i.e. the column will be used to split the rows into TRAIN,
+   * VALIDATE and TEST sets.
+   * Required type: STRING.
+   * This column, if set, must either have all of `TRAIN`, `VALIDATE`, `TEST`
+   * among its values, or only have `TEST`, `UNASSIGNED` values. In the latter
+   * case the rows with `UNASSIGNED` value will be assigned by AutoML. Note
+   * that if a given ml use distribution makes it impossible to create a "good"
+   * model, that call will error describing the issue.
+   * If both this column_spec_id and primary table's time_column_spec_id are not
+   * set, then all rows are treated as `UNASSIGNED`.
+   * NOTE: Updates of this field will instantly affect any other users
+   * concurrently working with the dataset.
+   *
+ * + * string ml_use_column_spec_id = 4; + * + * @return The bytes for mlUseColumnSpecId. + */ + com.google.protobuf.ByteString getMlUseColumnSpecIdBytes(); + + /** + * + * + * 
+   * Output only. Correlations between
+   * [TablesDatasetMetadata.target_column_spec_id][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column_spec_id],
+   * and other columns of the
+   * [TablesDatasetMetadataprimary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+   * Only set if the target column is set. Mapping from other column spec id to
+   * its CorrelationStats with the target column.
+   * This field may be stale, see the stats_update_time field for
+   * for the timestamp at which these stats were last updated.
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + int getTargetColumnCorrelationsCount(); + /** + * + * + * 
+   * Output only. Correlations between
+   * [TablesDatasetMetadata.target_column_spec_id][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column_spec_id],
+   * and other columns of the
+   * [TablesDatasetMetadataprimary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+   * Only set if the target column is set. Mapping from other column spec id to
+   * its CorrelationStats with the target column.
+   * This field may be stale, see the stats_update_time field for
+   * for the timestamp at which these stats were last updated.
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + boolean containsTargetColumnCorrelations(java.lang.String key); + /** Use {@link #getTargetColumnCorrelationsMap()} instead. */ + @java.lang.Deprecated + java.util.Map + getTargetColumnCorrelations(); + /** + * + * + * 
+   * Output only. Correlations between
+   * [TablesDatasetMetadata.target_column_spec_id][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column_spec_id],
+   * and other columns of the
+   * [TablesDatasetMetadataprimary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+   * Only set if the target column is set. Mapping from other column spec id to
+   * its CorrelationStats with the target column.
+   * This field may be stale, see the stats_update_time field for
+   * for the timestamp at which these stats were last updated.
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + java.util.Map + getTargetColumnCorrelationsMap(); + /** + * + * + * 
+   * Output only. Correlations between
+   * [TablesDatasetMetadata.target_column_spec_id][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column_spec_id],
+   * and other columns of the
+   * [TablesDatasetMetadataprimary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+   * Only set if the target column is set. Mapping from other column spec id to
+   * its CorrelationStats with the target column.
+   * This field may be stale, see the stats_update_time field for
+   * for the timestamp at which these stats were last updated.
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + com.google.cloud.automl.v1beta1.CorrelationStats getTargetColumnCorrelationsOrDefault( + java.lang.String key, com.google.cloud.automl.v1beta1.CorrelationStats defaultValue); + /** + * + * + * 
+   * Output only. Correlations between
+   * [TablesDatasetMetadata.target_column_spec_id][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column_spec_id],
+   * and other columns of the
+   * [TablesDatasetMetadataprimary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+   * Only set if the target column is set. Mapping from other column spec id to
+   * its CorrelationStats with the target column.
+   * This field may be stale, see the stats_update_time field for
+   * for the timestamp at which these stats were last updated.
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + com.google.cloud.automl.v1beta1.CorrelationStats getTargetColumnCorrelationsOrThrow( + java.lang.String key); + + /** + * + * + * 
+   * Output only. The most recent timestamp when target_column_correlations
+   * field and all descendant ColumnSpec.data_stats and
+   * ColumnSpec.top_correlated_columns fields were last (re-)generated. Any
+   * changes that happened to the dataset afterwards are not reflected in these
+   * fields values. The regeneration happens in the background on a best effort
+   * basis.
+   *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + * + * @return Whether the statsUpdateTime field is set. + */ + boolean hasStatsUpdateTime(); + /** + * + * + * 
+   * Output only. The most recent timestamp when target_column_correlations
+   * field and all descendant ColumnSpec.data_stats and
+   * ColumnSpec.top_correlated_columns fields were last (re-)generated. Any
+   * changes that happened to the dataset afterwards are not reflected in these
+   * fields values. The regeneration happens in the background on a best effort
+   * basis.
+   *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + * + * @return The statsUpdateTime. + */ + com.google.protobuf.Timestamp getStatsUpdateTime(); + /** + * + * + * 
+   * Output only. The most recent timestamp when target_column_correlations
+   * field and all descendant ColumnSpec.data_stats and
+   * ColumnSpec.top_correlated_columns fields were last (re-)generated. Any
+   * changes that happened to the dataset afterwards are not reflected in these
+   * fields values. The regeneration happens in the background on a best effort
+   * basis.
+   *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + */ + com.google.protobuf.TimestampOrBuilder getStatsUpdateTimeOrBuilder(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelColumnInfo.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelColumnInfo.java new file mode 100644 index 000000000..930d8a971 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelColumnInfo.java @@ -0,0 +1,977 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/tables.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * An information specific to given column and Tables Model, in context
+ * of the Model and the predictions created by it.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TablesModelColumnInfo} + */ +public final class TablesModelColumnInfo extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TablesModelColumnInfo) + TablesModelColumnInfoOrBuilder { + private static final long serialVersionUID = 0L; + // Use TablesModelColumnInfo.newBuilder() to construct. + private TablesModelColumnInfo(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TablesModelColumnInfo() { + columnSpecName_ = ""; + columnDisplayName_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new TablesModelColumnInfo(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TablesModelColumnInfo( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + columnSpecName_ = s; + break; + } + case 18: + { + java.lang.String s = input.readStringRequireUtf8(); + + columnDisplayName_ = s; + break; + } + case 29: + { + featureImportance_ = input.readFloat(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.class, + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder.class); + } + + public static final int COLUMN_SPEC_NAME_FIELD_NUMBER = 1; + private volatile java.lang.Object columnSpecName_; + /** + * + * + * 
+   * Output only. The name of the ColumnSpec describing the column. Not
+   * populated when this proto is outputted to BigQuery.
+   *
+ * + * string column_spec_name = 1; + * + * @return The columnSpecName. + */ + public java.lang.String getColumnSpecName() { + java.lang.Object ref = columnSpecName_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + columnSpecName_ = s; + return s; + } + } + /** + * + * + * 
+   * Output only. The name of the ColumnSpec describing the column. Not
+   * populated when this proto is outputted to BigQuery.
+   *
+ * + * string column_spec_name = 1; + * + * @return The bytes for columnSpecName. + */ + public com.google.protobuf.ByteString getColumnSpecNameBytes() { + java.lang.Object ref = columnSpecName_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + columnSpecName_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int COLUMN_DISPLAY_NAME_FIELD_NUMBER = 2; + private volatile java.lang.Object columnDisplayName_; + /** + * + * + * 
+   * Output only. The display name of the column (same as the display_name of
+   * its ColumnSpec).
+   *
+ * + * string column_display_name = 2; + * + * @return The columnDisplayName. + */ + public java.lang.String getColumnDisplayName() { + java.lang.Object ref = columnDisplayName_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + columnDisplayName_ = s; + return s; + } + } + /** + * + * + * 
+   * Output only. The display name of the column (same as the display_name of
+   * its ColumnSpec).
+   *
+ * + * string column_display_name = 2; + * + * @return The bytes for columnDisplayName. + */ + public com.google.protobuf.ByteString getColumnDisplayNameBytes() { + java.lang.Object ref = columnDisplayName_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + columnDisplayName_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int FEATURE_IMPORTANCE_FIELD_NUMBER = 3; + private float featureImportance_; + /** + * + * + * 
+   * Output only. When given as part of a Model (always populated):
+   * Measurement of how much model predictions correctness on the TEST data
+   * depend on values in this column. A value between 0 and 1, higher means
+   * higher influence. These values are normalized - for all input feature
+   * columns of a given model they add to 1.
+   * When given back by Predict (populated iff
+   * [feature_importance
+   * param][google.cloud.automl.v1beta1.PredictRequest.params] is set) or Batch
+   * Predict (populated iff
+   * [feature_importance][google.cloud.automl.v1beta1.PredictRequest.params]
+   * param is set):
+   * Measurement of how impactful for the prediction returned for the given row
+   * the value in this column was. Specifically, the feature importance
+   * specifies the marginal contribution that the feature made to the prediction
+   * score compared to the baseline score. These values are computed using the
+   * Sampled Shapley method.
+   *
+ * + * float feature_importance = 3; + * + * @return The featureImportance. + */ + public float getFeatureImportance() { + return featureImportance_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getColumnSpecNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, columnSpecName_); + } + if (!getColumnDisplayNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 2, columnDisplayName_); + } + if (featureImportance_ != 0F) { + output.writeFloat(3, featureImportance_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getColumnSpecNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, columnSpecName_); + } + if (!getColumnDisplayNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, columnDisplayName_); + } + if (featureImportance_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(3, featureImportance_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TablesModelColumnInfo)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TablesModelColumnInfo other = + (com.google.cloud.automl.v1beta1.TablesModelColumnInfo) obj; + + if (!getColumnSpecName().equals(other.getColumnSpecName())) return false; + if (!getColumnDisplayName().equals(other.getColumnDisplayName())) return false; + if (java.lang.Float.floatToIntBits(getFeatureImportance()) + != java.lang.Float.floatToIntBits(other.getFeatureImportance())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + COLUMN_SPEC_NAME_FIELD_NUMBER; + hash = (53 * hash) + getColumnSpecName().hashCode(); + hash = (37 * hash) + COLUMN_DISPLAY_NAME_FIELD_NUMBER; + hash = (53 * hash) + getColumnDisplayName().hashCode(); + hash = (37 * hash) + FEATURE_IMPORTANCE_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getFeatureImportance()); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TablesModelColumnInfo prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * An information specific to given column and Tables Model, in context
+   * of the Model and the predictions created by it.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TablesModelColumnInfo} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TablesModelColumnInfo) + com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.class, + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TablesModelColumnInfo.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + columnSpecName_ = ""; + + columnDisplayName_ = ""; + + featureImportance_ = 0F; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TablesModelColumnInfo.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo build() { + com.google.cloud.automl.v1beta1.TablesModelColumnInfo result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo buildPartial() { + com.google.cloud.automl.v1beta1.TablesModelColumnInfo result = + new com.google.cloud.automl.v1beta1.TablesModelColumnInfo(this); + result.columnSpecName_ = columnSpecName_; + result.columnDisplayName_ = columnDisplayName_; + result.featureImportance_ = featureImportance_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TablesModelColumnInfo) { + return mergeFrom((com.google.cloud.automl.v1beta1.TablesModelColumnInfo) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TablesModelColumnInfo other) { + if (other == com.google.cloud.automl.v1beta1.TablesModelColumnInfo.getDefaultInstance()) + return this; + if (!other.getColumnSpecName().isEmpty()) { + columnSpecName_ = other.columnSpecName_; + onChanged(); + } + if (!other.getColumnDisplayName().isEmpty()) { + columnDisplayName_ = other.columnDisplayName_; + onChanged(); + } + if (other.getFeatureImportance() != 0F) { + setFeatureImportance(other.getFeatureImportance()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TablesModelColumnInfo parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TablesModelColumnInfo) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object columnSpecName_ = ""; + /** + * + * + * 
+     * Output only. The name of the ColumnSpec describing the column. Not
+     * populated when this proto is outputted to BigQuery.
+     *
+ * + * string column_spec_name = 1; + * + * @return The columnSpecName. + */ + public java.lang.String getColumnSpecName() { + java.lang.Object ref = columnSpecName_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + columnSpecName_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Output only. The name of the ColumnSpec describing the column. Not
+     * populated when this proto is outputted to BigQuery.
+     *
+ * + * string column_spec_name = 1; + * + * @return The bytes for columnSpecName. + */ + public com.google.protobuf.ByteString getColumnSpecNameBytes() { + java.lang.Object ref = columnSpecName_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + columnSpecName_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Output only. The name of the ColumnSpec describing the column. Not
+     * populated when this proto is outputted to BigQuery.
+     *
+ * + * string column_spec_name = 1; + * + * @param value The columnSpecName to set. + * @return This builder for chaining. + */ + public Builder setColumnSpecName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + columnSpecName_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The name of the ColumnSpec describing the column. Not
+     * populated when this proto is outputted to BigQuery.
+     *
+ * + * string column_spec_name = 1; + * + * @return This builder for chaining. + */ + public Builder clearColumnSpecName() { + + columnSpecName_ = getDefaultInstance().getColumnSpecName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The name of the ColumnSpec describing the column. Not
+     * populated when this proto is outputted to BigQuery.
+     *
+ * + * string column_spec_name = 1; + * + * @param value The bytes for columnSpecName to set. + * @return This builder for chaining. + */ + public Builder setColumnSpecNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + columnSpecName_ = value; + onChanged(); + return this; + } + + private java.lang.Object columnDisplayName_ = ""; + /** + * + * + * 
+     * Output only. The display name of the column (same as the display_name of
+     * its ColumnSpec).
+     *
+ * + * string column_display_name = 2; + * + * @return The columnDisplayName. + */ + public java.lang.String getColumnDisplayName() { + java.lang.Object ref = columnDisplayName_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + columnDisplayName_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Output only. The display name of the column (same as the display_name of
+     * its ColumnSpec).
+     *
+ * + * string column_display_name = 2; + * + * @return The bytes for columnDisplayName. + */ + public com.google.protobuf.ByteString getColumnDisplayNameBytes() { + java.lang.Object ref = columnDisplayName_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + columnDisplayName_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Output only. The display name of the column (same as the display_name of
+     * its ColumnSpec).
+     *
+ * + * string column_display_name = 2; + * + * @param value The columnDisplayName to set. + * @return This builder for chaining. + */ + public Builder setColumnDisplayName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + columnDisplayName_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The display name of the column (same as the display_name of
+     * its ColumnSpec).
+     *
+ * + * string column_display_name = 2; + * + * @return This builder for chaining. + */ + public Builder clearColumnDisplayName() { + + columnDisplayName_ = getDefaultInstance().getColumnDisplayName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The display name of the column (same as the display_name of
+     * its ColumnSpec).
+     *
+ * + * string column_display_name = 2; + * + * @param value The bytes for columnDisplayName to set. + * @return This builder for chaining. + */ + public Builder setColumnDisplayNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + columnDisplayName_ = value; + onChanged(); + return this; + } + + private float featureImportance_; + /** + * + * + * 
+     * Output only. When given as part of a Model (always populated):
+     * Measurement of how much model predictions correctness on the TEST data
+     * depend on values in this column. A value between 0 and 1, higher means
+     * higher influence. These values are normalized - for all input feature
+     * columns of a given model they add to 1.
+     * When given back by Predict (populated iff
+     * [feature_importance
+     * param][google.cloud.automl.v1beta1.PredictRequest.params] is set) or Batch
+     * Predict (populated iff
+     * [feature_importance][google.cloud.automl.v1beta1.PredictRequest.params]
+     * param is set):
+     * Measurement of how impactful for the prediction returned for the given row
+     * the value in this column was. Specifically, the feature importance
+     * specifies the marginal contribution that the feature made to the prediction
+     * score compared to the baseline score. These values are computed using the
+     * Sampled Shapley method.
+     *
+ * + * float feature_importance = 3; + * + * @return The featureImportance. + */ + public float getFeatureImportance() { + return featureImportance_; + } + /** + * + * + * 
+     * Output only. When given as part of a Model (always populated):
+     * Measurement of how much model predictions correctness on the TEST data
+     * depend on values in this column. A value between 0 and 1, higher means
+     * higher influence. These values are normalized - for all input feature
+     * columns of a given model they add to 1.
+     * When given back by Predict (populated iff
+     * [feature_importance
+     * param][google.cloud.automl.v1beta1.PredictRequest.params] is set) or Batch
+     * Predict (populated iff
+     * [feature_importance][google.cloud.automl.v1beta1.PredictRequest.params]
+     * param is set):
+     * Measurement of how impactful for the prediction returned for the given row
+     * the value in this column was. Specifically, the feature importance
+     * specifies the marginal contribution that the feature made to the prediction
+     * score compared to the baseline score. These values are computed using the
+     * Sampled Shapley method.
+     *
+ * + * float feature_importance = 3; + * + * @param value The featureImportance to set. + * @return This builder for chaining. + */ + public Builder setFeatureImportance(float value) { + + featureImportance_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. When given as part of a Model (always populated):
+     * Measurement of how much model predictions correctness on the TEST data
+     * depend on values in this column. A value between 0 and 1, higher means
+     * higher influence. These values are normalized - for all input feature
+     * columns of a given model they add to 1.
+     * When given back by Predict (populated iff
+     * [feature_importance
+     * param][google.cloud.automl.v1beta1.PredictRequest.params] is set) or Batch
+     * Predict (populated iff
+     * [feature_importance][google.cloud.automl.v1beta1.PredictRequest.params]
+     * param is set):
+     * Measurement of how impactful for the prediction returned for the given row
+     * the value in this column was. Specifically, the feature importance
+     * specifies the marginal contribution that the feature made to the prediction
+     * score compared to the baseline score. These values are computed using the
+     * Sampled Shapley method.
+     *
+ * + * float feature_importance = 3; + * + * @return This builder for chaining. + */ + public Builder clearFeatureImportance() { + + featureImportance_ = 0F; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TablesModelColumnInfo) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TablesModelColumnInfo) + private static final com.google.cloud.automl.v1beta1.TablesModelColumnInfo DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TablesModelColumnInfo(); + } + + public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TablesModelColumnInfo parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TablesModelColumnInfo(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelColumnInfoOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelColumnInfoOrBuilder.java new file mode 100644 index 000000000..4b234297d --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelColumnInfoOrBuilder.java @@ -0,0 +1,107 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/tables.proto + +package com.google.cloud.automl.v1beta1; + +public interface TablesModelColumnInfoOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TablesModelColumnInfo) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Output only. The name of the ColumnSpec describing the column. Not
+   * populated when this proto is outputted to BigQuery.
+   *
+ * + * string column_spec_name = 1; + * + * @return The columnSpecName. + */ + java.lang.String getColumnSpecName(); + /** + * + * + * 
+   * Output only. The name of the ColumnSpec describing the column. Not
+   * populated when this proto is outputted to BigQuery.
+   *
+ * + * string column_spec_name = 1; + * + * @return The bytes for columnSpecName. + */ + com.google.protobuf.ByteString getColumnSpecNameBytes(); + + /** + * + * + * 
+   * Output only. The display name of the column (same as the display_name of
+   * its ColumnSpec).
+   *
+ * + * string column_display_name = 2; + * + * @return The columnDisplayName. + */ + java.lang.String getColumnDisplayName(); + /** + * + * + * 
+   * Output only. The display name of the column (same as the display_name of
+   * its ColumnSpec).
+   *
+ * + * string column_display_name = 2; + * + * @return The bytes for columnDisplayName. + */ + com.google.protobuf.ByteString getColumnDisplayNameBytes(); + + /** + * + * + * 
+   * Output only. When given as part of a Model (always populated):
+   * Measurement of how much model predictions correctness on the TEST data
+   * depend on values in this column. A value between 0 and 1, higher means
+   * higher influence. These values are normalized - for all input feature
+   * columns of a given model they add to 1.
+   * When given back by Predict (populated iff
+   * [feature_importance
+   * param][google.cloud.automl.v1beta1.PredictRequest.params] is set) or Batch
+   * Predict (populated iff
+   * [feature_importance][google.cloud.automl.v1beta1.PredictRequest.params]
+   * param is set):
+   * Measurement of how impactful for the prediction returned for the given row
+   * the value in this column was. Specifically, the feature importance
+   * specifies the marginal contribution that the feature made to the prediction
+   * score compared to the baseline score. These values are computed using the
+   * Sampled Shapley method.
+   *
+ * + * float feature_importance = 3; + * + * @return The featureImportance. + */ + float getFeatureImportance(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelMetadata.java new file mode 100644 index 000000000..90d30c7f1 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelMetadata.java @@ -0,0 +1,3160 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/tables.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Model metadata specific to AutoML Tables.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TablesModelMetadata} + */ +public final class TablesModelMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TablesModelMetadata) + TablesModelMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use TablesModelMetadata.newBuilder() to construct. + private TablesModelMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TablesModelMetadata() { + inputFeatureColumnSpecs_ = java.util.Collections.emptyList(); + optimizationObjective_ = ""; + tablesModelColumnInfo_ = java.util.Collections.emptyList(); + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new TablesModelMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TablesModelMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 18: + { + com.google.cloud.automl.v1beta1.ColumnSpec.Builder subBuilder = null; + if (targetColumnSpec_ != null) { + subBuilder = targetColumnSpec_.toBuilder(); + } + targetColumnSpec_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ColumnSpec.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(targetColumnSpec_); + targetColumnSpec_ = subBuilder.buildPartial(); + } + + break; + } + case 26: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + inputFeatureColumnSpecs_ = + new java.util.ArrayList(); + mutable_bitField0_ |= 0x00000001; + } + inputFeatureColumnSpecs_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.ColumnSpec.parser(), extensionRegistry)); + break; + } + case 34: + { + java.lang.String s = input.readStringRequireUtf8(); + + optimizationObjective_ = s; + break; + } + case 42: + { + if (!((mutable_bitField0_ & 0x00000002) != 0)) { + tablesModelColumnInfo_ = + new java.util.ArrayList< + com.google.cloud.automl.v1beta1.TablesModelColumnInfo>(); + mutable_bitField0_ |= 0x00000002; + } + tablesModelColumnInfo_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.parser(), + extensionRegistry)); + break; + } + case 48: + { + trainBudgetMilliNodeHours_ = input.readInt64(); + break; + } + case 56: + { + trainCostMilliNodeHours_ = input.readInt64(); + break; + } + case 96: + { + disableEarlyStopping_ = input.readBool(); + break; + } + case 141: + { + additionalOptimizationObjectiveConfigCase_ = 17; + additionalOptimizationObjectiveConfig_ = input.readFloat(); + break; + } + case 149: + { + additionalOptimizationObjectiveConfigCase_ = 18; + additionalOptimizationObjectiveConfig_ = input.readFloat(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + inputFeatureColumnSpecs_ = java.util.Collections.unmodifiableList(inputFeatureColumnSpecs_); + } + if (((mutable_bitField0_ & 0x00000002) != 0)) { + tablesModelColumnInfo_ = java.util.Collections.unmodifiableList(tablesModelColumnInfo_); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesModelMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesModelMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TablesModelMetadata.class, + com.google.cloud.automl.v1beta1.TablesModelMetadata.Builder.class); + } + + private int additionalOptimizationObjectiveConfigCase_ = 0; + private java.lang.Object additionalOptimizationObjectiveConfig_; + + public enum AdditionalOptimizationObjectiveConfigCase + implements + com.google.protobuf.Internal.EnumLite, + com.google.protobuf.AbstractMessage.InternalOneOfEnum { + OPTIMIZATION_OBJECTIVE_RECALL_VALUE(17), + OPTIMIZATION_OBJECTIVE_PRECISION_VALUE(18), + ADDITIONALOPTIMIZATIONOBJECTIVECONFIG_NOT_SET(0); + private final int value; + + private AdditionalOptimizationObjectiveConfigCase(int value) { + this.value = value; + } + /** + * @param value The number of the enum to look for. + * @return The enum associated with the given number. + * @deprecated Use {@link #forNumber(int)} instead. + */ + @java.lang.Deprecated + public static AdditionalOptimizationObjectiveConfigCase valueOf(int value) { + return forNumber(value); + } + + public static AdditionalOptimizationObjectiveConfigCase forNumber(int value) { + switch (value) { + case 17: + return OPTIMIZATION_OBJECTIVE_RECALL_VALUE; + case 18: + return OPTIMIZATION_OBJECTIVE_PRECISION_VALUE; + case 0: + return ADDITIONALOPTIMIZATIONOBJECTIVECONFIG_NOT_SET; + default: + return null; + } + } + + public int getNumber() { + return this.value; + } + }; + + public AdditionalOptimizationObjectiveConfigCase getAdditionalOptimizationObjectiveConfigCase() { + return AdditionalOptimizationObjectiveConfigCase.forNumber( + additionalOptimizationObjectiveConfigCase_); + } + + public static final int OPTIMIZATION_OBJECTIVE_RECALL_VALUE_FIELD_NUMBER = 17; + /** + * + * + * 
+   * Required when optimization_objective is "MAXIMIZE_PRECISION_AT_RECALL".
+   * Must be between 0 and 1, inclusive.
+   *
+ * + * float optimization_objective_recall_value = 17; + * + * @return The optimizationObjectiveRecallValue. + */ + public float getOptimizationObjectiveRecallValue() { + if (additionalOptimizationObjectiveConfigCase_ == 17) { + return (java.lang.Float) additionalOptimizationObjectiveConfig_; + } + return 0F; + } + + public static final int OPTIMIZATION_OBJECTIVE_PRECISION_VALUE_FIELD_NUMBER = 18; + /** + * + * + * 
+   * Required when optimization_objective is "MAXIMIZE_RECALL_AT_PRECISION".
+   * Must be between 0 and 1, inclusive.
+   *
+ * + * float optimization_objective_precision_value = 18; + * + * @return The optimizationObjectivePrecisionValue. + */ + public float getOptimizationObjectivePrecisionValue() { + if (additionalOptimizationObjectiveConfigCase_ == 18) { + return (java.lang.Float) additionalOptimizationObjectiveConfig_; + } + return 0F; + } + + public static final int TARGET_COLUMN_SPEC_FIELD_NUMBER = 2; + private com.google.cloud.automl.v1beta1.ColumnSpec targetColumnSpec_; + /** + * + * + * 
+   * Column spec of the dataset's primary table's column the model is
+   * predicting. Snapshotted when model creation started.
+   * Only 3 fields are used:
+   * name - May be set on CreateModel, if it's not then the ColumnSpec
+   *        corresponding to the current target_column_spec_id of the dataset
+   *        the model is trained from is used.
+   *        If neither is set, CreateModel will error.
+   * display_name - Output only.
+   * data_type - Output only.
+   *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + * + * @return Whether the targetColumnSpec field is set. + */ + public boolean hasTargetColumnSpec() { + return targetColumnSpec_ != null; + } + /** + * + * + * 
+   * Column spec of the dataset's primary table's column the model is
+   * predicting. Snapshotted when model creation started.
+   * Only 3 fields are used:
+   * name - May be set on CreateModel, if it's not then the ColumnSpec
+   *        corresponding to the current target_column_spec_id of the dataset
+   *        the model is trained from is used.
+   *        If neither is set, CreateModel will error.
+   * display_name - Output only.
+   * data_type - Output only.
+   *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + * + * @return The targetColumnSpec. + */ + public com.google.cloud.automl.v1beta1.ColumnSpec getTargetColumnSpec() { + return targetColumnSpec_ == null + ? com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance() + : targetColumnSpec_; + } + /** + * + * + * 
+   * Column spec of the dataset's primary table's column the model is
+   * predicting. Snapshotted when model creation started.
+   * Only 3 fields are used:
+   * name - May be set on CreateModel, if it's not then the ColumnSpec
+   *        corresponding to the current target_column_spec_id of the dataset
+   *        the model is trained from is used.
+   *        If neither is set, CreateModel will error.
+   * display_name - Output only.
+   * data_type - Output only.
+   *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + */ + public com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder getTargetColumnSpecOrBuilder() { + return getTargetColumnSpec(); + } + + public static final int INPUT_FEATURE_COLUMN_SPECS_FIELD_NUMBER = 3; + private java.util.List inputFeatureColumnSpecs_; + /** + * + * + * 
+   * Column specs of the dataset's primary table's columns, on which
+   * the model is trained and which are used as the input for predictions.
+   * The
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * as well as, according to dataset's state upon model creation,
+   * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+   * and
+   * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+   * must never be included here.
+   * Only 3 fields are used:
+   * * name - May be set on CreateModel, if set only the columns specified are
+   *   used, otherwise all primary table's columns (except the ones listed
+   *   above) are used for the training and prediction input.
+   * * display_name - Output only.
+   * * data_type - Output only.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public java.util.List + getInputFeatureColumnSpecsList() { + return inputFeatureColumnSpecs_; + } + /** + * + * + * 
+   * Column specs of the dataset's primary table's columns, on which
+   * the model is trained and which are used as the input for predictions.
+   * The
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * as well as, according to dataset's state upon model creation,
+   * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+   * and
+   * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+   * must never be included here.
+   * Only 3 fields are used:
+   * * name - May be set on CreateModel, if set only the columns specified are
+   *   used, otherwise all primary table's columns (except the ones listed
+   *   above) are used for the training and prediction input.
+   * * display_name - Output only.
+   * * data_type - Output only.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public java.util.List + getInputFeatureColumnSpecsOrBuilderList() { + return inputFeatureColumnSpecs_; + } + /** + * + * + * 
+   * Column specs of the dataset's primary table's columns, on which
+   * the model is trained and which are used as the input for predictions.
+   * The
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * as well as, according to dataset's state upon model creation,
+   * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+   * and
+   * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+   * must never be included here.
+   * Only 3 fields are used:
+   * * name - May be set on CreateModel, if set only the columns specified are
+   *   used, otherwise all primary table's columns (except the ones listed
+   *   above) are used for the training and prediction input.
+   * * display_name - Output only.
+   * * data_type - Output only.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public int getInputFeatureColumnSpecsCount() { + return inputFeatureColumnSpecs_.size(); + } + /** + * + * + * 
+   * Column specs of the dataset's primary table's columns, on which
+   * the model is trained and which are used as the input for predictions.
+   * The
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * as well as, according to dataset's state upon model creation,
+   * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+   * and
+   * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+   * must never be included here.
+   * Only 3 fields are used:
+   * * name - May be set on CreateModel, if set only the columns specified are
+   *   used, otherwise all primary table's columns (except the ones listed
+   *   above) are used for the training and prediction input.
+   * * display_name - Output only.
+   * * data_type - Output only.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public com.google.cloud.automl.v1beta1.ColumnSpec getInputFeatureColumnSpecs(int index) { + return inputFeatureColumnSpecs_.get(index); + } + /** + * + * + * 
+   * Column specs of the dataset's primary table's columns, on which
+   * the model is trained and which are used as the input for predictions.
+   * The
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * as well as, according to dataset's state upon model creation,
+   * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+   * and
+   * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+   * must never be included here.
+   * Only 3 fields are used:
+   * * name - May be set on CreateModel, if set only the columns specified are
+   *   used, otherwise all primary table's columns (except the ones listed
+   *   above) are used for the training and prediction input.
+   * * display_name - Output only.
+   * * data_type - Output only.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder getInputFeatureColumnSpecsOrBuilder( + int index) { + return inputFeatureColumnSpecs_.get(index); + } + + public static final int OPTIMIZATION_OBJECTIVE_FIELD_NUMBER = 4; + private volatile java.lang.Object optimizationObjective_; + /** + * + * + * 
+   * Objective function the model is optimizing towards. The training process
+   * creates a model that maximizes/minimizes the value of the objective
+   * function over the validation set.
+   * The supported optimization objectives depend on the prediction type.
+   * If the field is not set, a default objective function is used.
+   * CLASSIFICATION_BINARY:
+   *   "MAXIMIZE_AU_ROC" (default) - Maximize the area under the receiver
+   *                                 operating characteristic (ROC) curve.
+   *   "MINIMIZE_LOG_LOSS" - Minimize log loss.
+   *   "MAXIMIZE_AU_PRC" - Maximize the area under the precision-recall curve.
+   *   "MAXIMIZE_PRECISION_AT_RECALL" - Maximize precision for a specified
+   *                                   recall value.
+   *   "MAXIMIZE_RECALL_AT_PRECISION" - Maximize recall for a specified
+   *                                    precision value.
+   * CLASSIFICATION_MULTI_CLASS :
+   *   "MINIMIZE_LOG_LOSS" (default) - Minimize log loss.
+   * REGRESSION:
+   *   "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
+   *   "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
+   *   "MINIMIZE_RMSLE" - Minimize root-mean-squared log error (RMSLE).
+   *
+ * + * string optimization_objective = 4; + * + * @return The optimizationObjective. + */ + public java.lang.String getOptimizationObjective() { + java.lang.Object ref = optimizationObjective_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + optimizationObjective_ = s; + return s; + } + } + /** + * + * + * 
+   * Objective function the model is optimizing towards. The training process
+   * creates a model that maximizes/minimizes the value of the objective
+   * function over the validation set.
+   * The supported optimization objectives depend on the prediction type.
+   * If the field is not set, a default objective function is used.
+   * CLASSIFICATION_BINARY:
+   *   "MAXIMIZE_AU_ROC" (default) - Maximize the area under the receiver
+   *                                 operating characteristic (ROC) curve.
+   *   "MINIMIZE_LOG_LOSS" - Minimize log loss.
+   *   "MAXIMIZE_AU_PRC" - Maximize the area under the precision-recall curve.
+   *   "MAXIMIZE_PRECISION_AT_RECALL" - Maximize precision for a specified
+   *                                   recall value.
+   *   "MAXIMIZE_RECALL_AT_PRECISION" - Maximize recall for a specified
+   *                                    precision value.
+   * CLASSIFICATION_MULTI_CLASS :
+   *   "MINIMIZE_LOG_LOSS" (default) - Minimize log loss.
+   * REGRESSION:
+   *   "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
+   *   "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
+   *   "MINIMIZE_RMSLE" - Minimize root-mean-squared log error (RMSLE).
+   *
+ * + * string optimization_objective = 4; + * + * @return The bytes for optimizationObjective. + */ + public com.google.protobuf.ByteString getOptimizationObjectiveBytes() { + java.lang.Object ref = optimizationObjective_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + optimizationObjective_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int TABLES_MODEL_COLUMN_INFO_FIELD_NUMBER = 5; + private java.util.List + tablesModelColumnInfo_; + /** + * + * + * 
+   * Output only. Auxiliary information for each of the
+   * input_feature_column_specs with respect to this particular model.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public java.util.List + getTablesModelColumnInfoList() { + return tablesModelColumnInfo_; + } + /** + * + * + * 
+   * Output only. Auxiliary information for each of the
+   * input_feature_column_specs with respect to this particular model.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public java.util.List + getTablesModelColumnInfoOrBuilderList() { + return tablesModelColumnInfo_; + } + /** + * + * + * 
+   * Output only. Auxiliary information for each of the
+   * input_feature_column_specs with respect to this particular model.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public int getTablesModelColumnInfoCount() { + return tablesModelColumnInfo_.size(); + } + /** + * + * + * 
+   * Output only. Auxiliary information for each of the
+   * input_feature_column_specs with respect to this particular model.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo getTablesModelColumnInfo(int index) { + return tablesModelColumnInfo_.get(index); + } + /** + * + * + * 
+   * Output only. Auxiliary information for each of the
+   * input_feature_column_specs with respect to this particular model.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder + getTablesModelColumnInfoOrBuilder(int index) { + return tablesModelColumnInfo_.get(index); + } + + public static final int TRAIN_BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER = 6; + private long trainBudgetMilliNodeHours_; + /** + * + * + * 
+   * Required. The train budget of creating this model, expressed in milli node
+   * hours i.e. 1,000 value in this field means 1 node hour.
+   * The training cost of the model will not exceed this budget. The final cost
+   * will be attempted to be close to the budget, though may end up being (even)
+   * noticeably smaller - at the backend's discretion. This especially may
+   * happen when further model training ceases to provide any improvements.
+   * If the budget is set to a value known to be insufficient to train a
+   * model for the given dataset, the training won't be attempted and
+   * will error.
+   * The train budget must be between 1,000 and 72,000 milli node hours,
+   * inclusive.
+   *
+ * + * int64 train_budget_milli_node_hours = 6; + * + * @return The trainBudgetMilliNodeHours. + */ + public long getTrainBudgetMilliNodeHours() { + return trainBudgetMilliNodeHours_; + } + + public static final int TRAIN_COST_MILLI_NODE_HOURS_FIELD_NUMBER = 7; + private long trainCostMilliNodeHours_; + /** + * + * + * 
+   * Output only. The actual training cost of the model, expressed in milli
+   * node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed
+   * to not exceed the train budget.
+   *
+ * + * int64 train_cost_milli_node_hours = 7; + * + * @return The trainCostMilliNodeHours. + */ + public long getTrainCostMilliNodeHours() { + return trainCostMilliNodeHours_; + } + + public static final int DISABLE_EARLY_STOPPING_FIELD_NUMBER = 12; + private boolean disableEarlyStopping_; + /** + * + * + * 
+   * Use the entire training budget. This disables the early stopping feature.
+   * By default, the early stopping feature is enabled, which means that AutoML
+   * Tables might stop training before the entire training budget has been used.
+   *
+ * + * bool disable_early_stopping = 12; + * + * @return The disableEarlyStopping. + */ + public boolean getDisableEarlyStopping() { + return disableEarlyStopping_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (targetColumnSpec_ != null) { + output.writeMessage(2, getTargetColumnSpec()); + } + for (int i = 0; i < inputFeatureColumnSpecs_.size(); i++) { + output.writeMessage(3, inputFeatureColumnSpecs_.get(i)); + } + if (!getOptimizationObjectiveBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 4, optimizationObjective_); + } + for (int i = 0; i < tablesModelColumnInfo_.size(); i++) { + output.writeMessage(5, tablesModelColumnInfo_.get(i)); + } + if (trainBudgetMilliNodeHours_ != 0L) { + output.writeInt64(6, trainBudgetMilliNodeHours_); + } + if (trainCostMilliNodeHours_ != 0L) { + output.writeInt64(7, trainCostMilliNodeHours_); + } + if (disableEarlyStopping_ != false) { + output.writeBool(12, disableEarlyStopping_); + } + if (additionalOptimizationObjectiveConfigCase_ == 17) { + output.writeFloat(17, (float) ((java.lang.Float) additionalOptimizationObjectiveConfig_)); + } + if (additionalOptimizationObjectiveConfigCase_ == 18) { + output.writeFloat(18, (float) ((java.lang.Float) additionalOptimizationObjectiveConfig_)); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (targetColumnSpec_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getTargetColumnSpec()); + } + for (int i = 0; i < inputFeatureColumnSpecs_.size(); i++) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 3, inputFeatureColumnSpecs_.get(i)); + } + if (!getOptimizationObjectiveBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(4, optimizationObjective_); + } + for (int i = 0; i < tablesModelColumnInfo_.size(); i++) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 5, tablesModelColumnInfo_.get(i)); + } + if (trainBudgetMilliNodeHours_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(6, trainBudgetMilliNodeHours_); + } + if (trainCostMilliNodeHours_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(7, trainCostMilliNodeHours_); + } + if (disableEarlyStopping_ != false) { + size += com.google.protobuf.CodedOutputStream.computeBoolSize(12, disableEarlyStopping_); + } + if (additionalOptimizationObjectiveConfigCase_ == 17) { + size += + com.google.protobuf.CodedOutputStream.computeFloatSize( + 17, (float) ((java.lang.Float) additionalOptimizationObjectiveConfig_)); + } + if (additionalOptimizationObjectiveConfigCase_ == 18) { + size += + com.google.protobuf.CodedOutputStream.computeFloatSize( + 18, (float) ((java.lang.Float) additionalOptimizationObjectiveConfig_)); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TablesModelMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TablesModelMetadata other = + (com.google.cloud.automl.v1beta1.TablesModelMetadata) obj; + + if (hasTargetColumnSpec() != other.hasTargetColumnSpec()) return false; + if (hasTargetColumnSpec()) { + if (!getTargetColumnSpec().equals(other.getTargetColumnSpec())) return false; + } + if (!getInputFeatureColumnSpecsList().equals(other.getInputFeatureColumnSpecsList())) + return false; + if (!getOptimizationObjective().equals(other.getOptimizationObjective())) return false; + if (!getTablesModelColumnInfoList().equals(other.getTablesModelColumnInfoList())) return false; + if (getTrainBudgetMilliNodeHours() != other.getTrainBudgetMilliNodeHours()) return false; + if (getTrainCostMilliNodeHours() != other.getTrainCostMilliNodeHours()) return false; + if (getDisableEarlyStopping() != other.getDisableEarlyStopping()) return false; + if (!getAdditionalOptimizationObjectiveConfigCase() + .equals(other.getAdditionalOptimizationObjectiveConfigCase())) return false; + switch (additionalOptimizationObjectiveConfigCase_) { + case 17: + if (java.lang.Float.floatToIntBits(getOptimizationObjectiveRecallValue()) + != java.lang.Float.floatToIntBits(other.getOptimizationObjectiveRecallValue())) + return false; + break; + case 18: + if (java.lang.Float.floatToIntBits(getOptimizationObjectivePrecisionValue()) + != java.lang.Float.floatToIntBits(other.getOptimizationObjectivePrecisionValue())) + return false; + break; + case 0: + default: + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (hasTargetColumnSpec()) { + hash = (37 * hash) + TARGET_COLUMN_SPEC_FIELD_NUMBER; + hash = (53 * hash) + getTargetColumnSpec().hashCode(); + } + if (getInputFeatureColumnSpecsCount() > 0) { + hash = (37 * hash) + INPUT_FEATURE_COLUMN_SPECS_FIELD_NUMBER; + hash = (53 * hash) + getInputFeatureColumnSpecsList().hashCode(); + } + hash = (37 * hash) + OPTIMIZATION_OBJECTIVE_FIELD_NUMBER; + hash = (53 * hash) + getOptimizationObjective().hashCode(); + if (getTablesModelColumnInfoCount() > 0) { + hash = (37 * hash) + TABLES_MODEL_COLUMN_INFO_FIELD_NUMBER; + hash = (53 * hash) + getTablesModelColumnInfoList().hashCode(); + } + hash = (37 * hash) + TRAIN_BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getTrainBudgetMilliNodeHours()); + hash = (37 * hash) + TRAIN_COST_MILLI_NODE_HOURS_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getTrainCostMilliNodeHours()); + hash = (37 * hash) + DISABLE_EARLY_STOPPING_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getDisableEarlyStopping()); + switch (additionalOptimizationObjectiveConfigCase_) { + case 17: + hash = (37 * hash) + OPTIMIZATION_OBJECTIVE_RECALL_VALUE_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getOptimizationObjectiveRecallValue()); + break; + case 18: + hash = (37 * hash) + OPTIMIZATION_OBJECTIVE_PRECISION_VALUE_FIELD_NUMBER; + hash = + (53 * hash) + java.lang.Float.floatToIntBits(getOptimizationObjectivePrecisionValue()); + break; + case 0: + default: + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TablesModelMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TablesModelMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesModelMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TablesModelMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesModelMetadata parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TablesModelMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesModelMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TablesModelMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesModelMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TablesModelMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesModelMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TablesModelMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.TablesModelMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Model metadata specific to AutoML Tables.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TablesModelMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TablesModelMetadata) + com.google.cloud.automl.v1beta1.TablesModelMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesModelMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesModelMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TablesModelMetadata.class, + com.google.cloud.automl.v1beta1.TablesModelMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TablesModelMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getInputFeatureColumnSpecsFieldBuilder(); + getTablesModelColumnInfoFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (targetColumnSpecBuilder_ == null) { + targetColumnSpec_ = null; + } else { + targetColumnSpec_ = null; + targetColumnSpecBuilder_ = null; + } + if (inputFeatureColumnSpecsBuilder_ == null) { + inputFeatureColumnSpecs_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + } else { + inputFeatureColumnSpecsBuilder_.clear(); + } + optimizationObjective_ = ""; + + if (tablesModelColumnInfoBuilder_ == null) { + tablesModelColumnInfo_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000002); + } else { + tablesModelColumnInfoBuilder_.clear(); + } + trainBudgetMilliNodeHours_ = 0L; + + trainCostMilliNodeHours_ = 0L; + + disableEarlyStopping_ = false; + + additionalOptimizationObjectiveConfigCase_ = 0; + additionalOptimizationObjectiveConfig_ = null; + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesModelMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesModelMetadata getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TablesModelMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesModelMetadata build() { + com.google.cloud.automl.v1beta1.TablesModelMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesModelMetadata buildPartial() { + com.google.cloud.automl.v1beta1.TablesModelMetadata result = + new com.google.cloud.automl.v1beta1.TablesModelMetadata(this); + int from_bitField0_ = bitField0_; + if (additionalOptimizationObjectiveConfigCase_ == 17) { + result.additionalOptimizationObjectiveConfig_ = additionalOptimizationObjectiveConfig_; + } + if (additionalOptimizationObjectiveConfigCase_ == 18) { + result.additionalOptimizationObjectiveConfig_ = additionalOptimizationObjectiveConfig_; + } + if (targetColumnSpecBuilder_ == null) { + result.targetColumnSpec_ = targetColumnSpec_; + } else { + result.targetColumnSpec_ = targetColumnSpecBuilder_.build(); + } + if (inputFeatureColumnSpecsBuilder_ == null) { + if (((bitField0_ & 0x00000001) != 0)) { + inputFeatureColumnSpecs_ = + java.util.Collections.unmodifiableList(inputFeatureColumnSpecs_); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.inputFeatureColumnSpecs_ = inputFeatureColumnSpecs_; + } else { + result.inputFeatureColumnSpecs_ = inputFeatureColumnSpecsBuilder_.build(); + } + result.optimizationObjective_ = optimizationObjective_; + if (tablesModelColumnInfoBuilder_ == null) { + if (((bitField0_ & 0x00000002) != 0)) { + tablesModelColumnInfo_ = java.util.Collections.unmodifiableList(tablesModelColumnInfo_); + bitField0_ = (bitField0_ & ~0x00000002); + } + result.tablesModelColumnInfo_ = tablesModelColumnInfo_; + } else { + result.tablesModelColumnInfo_ = tablesModelColumnInfoBuilder_.build(); + } + result.trainBudgetMilliNodeHours_ = trainBudgetMilliNodeHours_; + result.trainCostMilliNodeHours_ = trainCostMilliNodeHours_; + result.disableEarlyStopping_ = disableEarlyStopping_; + result.additionalOptimizationObjectiveConfigCase_ = + additionalOptimizationObjectiveConfigCase_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TablesModelMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.TablesModelMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TablesModelMetadata other) { + if (other == com.google.cloud.automl.v1beta1.TablesModelMetadata.getDefaultInstance()) + return this; + if (other.hasTargetColumnSpec()) { + mergeTargetColumnSpec(other.getTargetColumnSpec()); + } + if (inputFeatureColumnSpecsBuilder_ == null) { + if (!other.inputFeatureColumnSpecs_.isEmpty()) { + if (inputFeatureColumnSpecs_.isEmpty()) { + inputFeatureColumnSpecs_ = other.inputFeatureColumnSpecs_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensureInputFeatureColumnSpecsIsMutable(); + inputFeatureColumnSpecs_.addAll(other.inputFeatureColumnSpecs_); + } + onChanged(); + } + } else { + if (!other.inputFeatureColumnSpecs_.isEmpty()) { + if (inputFeatureColumnSpecsBuilder_.isEmpty()) { + inputFeatureColumnSpecsBuilder_.dispose(); + inputFeatureColumnSpecsBuilder_ = null; + inputFeatureColumnSpecs_ = other.inputFeatureColumnSpecs_; + bitField0_ = (bitField0_ & ~0x00000001); + inputFeatureColumnSpecsBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getInputFeatureColumnSpecsFieldBuilder() + : null; + } else { + inputFeatureColumnSpecsBuilder_.addAllMessages(other.inputFeatureColumnSpecs_); + } + } + } + if (!other.getOptimizationObjective().isEmpty()) { + optimizationObjective_ = other.optimizationObjective_; + onChanged(); + } + if (tablesModelColumnInfoBuilder_ == null) { + if (!other.tablesModelColumnInfo_.isEmpty()) { + if (tablesModelColumnInfo_.isEmpty()) { + tablesModelColumnInfo_ = other.tablesModelColumnInfo_; + bitField0_ = (bitField0_ & ~0x00000002); + } else { + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.addAll(other.tablesModelColumnInfo_); + } + onChanged(); + } + } else { + if (!other.tablesModelColumnInfo_.isEmpty()) { + if (tablesModelColumnInfoBuilder_.isEmpty()) { + tablesModelColumnInfoBuilder_.dispose(); + tablesModelColumnInfoBuilder_ = null; + tablesModelColumnInfo_ = other.tablesModelColumnInfo_; + bitField0_ = (bitField0_ & ~0x00000002); + tablesModelColumnInfoBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getTablesModelColumnInfoFieldBuilder() + : null; + } else { + tablesModelColumnInfoBuilder_.addAllMessages(other.tablesModelColumnInfo_); + } + } + } + if (other.getTrainBudgetMilliNodeHours() != 0L) { + setTrainBudgetMilliNodeHours(other.getTrainBudgetMilliNodeHours()); + } + if (other.getTrainCostMilliNodeHours() != 0L) { + setTrainCostMilliNodeHours(other.getTrainCostMilliNodeHours()); + } + if (other.getDisableEarlyStopping() != false) { + setDisableEarlyStopping(other.getDisableEarlyStopping()); + } + switch (other.getAdditionalOptimizationObjectiveConfigCase()) { + case OPTIMIZATION_OBJECTIVE_RECALL_VALUE: + { + setOptimizationObjectiveRecallValue(other.getOptimizationObjectiveRecallValue()); + break; + } + case OPTIMIZATION_OBJECTIVE_PRECISION_VALUE: + { + setOptimizationObjectivePrecisionValue(other.getOptimizationObjectivePrecisionValue()); + break; + } + case ADDITIONALOPTIMIZATIONOBJECTIVECONFIG_NOT_SET: + { + break; + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TablesModelMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TablesModelMetadata) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int additionalOptimizationObjectiveConfigCase_ = 0; + private java.lang.Object additionalOptimizationObjectiveConfig_; + + public AdditionalOptimizationObjectiveConfigCase + getAdditionalOptimizationObjectiveConfigCase() { + return AdditionalOptimizationObjectiveConfigCase.forNumber( + additionalOptimizationObjectiveConfigCase_); + } + + public Builder clearAdditionalOptimizationObjectiveConfig() { + additionalOptimizationObjectiveConfigCase_ = 0; + additionalOptimizationObjectiveConfig_ = null; + onChanged(); + return this; + } + + private int bitField0_; + + /** + * + * + * 
+     * Required when optimization_objective is "MAXIMIZE_PRECISION_AT_RECALL".
+     * Must be between 0 and 1, inclusive.
+     *
+ * + * float optimization_objective_recall_value = 17; + * + * @return The optimizationObjectiveRecallValue. + */ + public float getOptimizationObjectiveRecallValue() { + if (additionalOptimizationObjectiveConfigCase_ == 17) { + return (java.lang.Float) additionalOptimizationObjectiveConfig_; + } + return 0F; + } + /** + * + * + * 
+     * Required when optimization_objective is "MAXIMIZE_PRECISION_AT_RECALL".
+     * Must be between 0 and 1, inclusive.
+     *
+ * + * float optimization_objective_recall_value = 17; + * + * @param value The optimizationObjectiveRecallValue to set. + * @return This builder for chaining. + */ + public Builder setOptimizationObjectiveRecallValue(float value) { + additionalOptimizationObjectiveConfigCase_ = 17; + additionalOptimizationObjectiveConfig_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required when optimization_objective is "MAXIMIZE_PRECISION_AT_RECALL".
+     * Must be between 0 and 1, inclusive.
+     *
+ * + * float optimization_objective_recall_value = 17; + * + * @return This builder for chaining. + */ + public Builder clearOptimizationObjectiveRecallValue() { + if (additionalOptimizationObjectiveConfigCase_ == 17) { + additionalOptimizationObjectiveConfigCase_ = 0; + additionalOptimizationObjectiveConfig_ = null; + onChanged(); + } + return this; + } + + /** + * + * + * 
+     * Required when optimization_objective is "MAXIMIZE_RECALL_AT_PRECISION".
+     * Must be between 0 and 1, inclusive.
+     *
+ * + * float optimization_objective_precision_value = 18; + * + * @return The optimizationObjectivePrecisionValue. + */ + public float getOptimizationObjectivePrecisionValue() { + if (additionalOptimizationObjectiveConfigCase_ == 18) { + return (java.lang.Float) additionalOptimizationObjectiveConfig_; + } + return 0F; + } + /** + * + * + * 
+     * Required when optimization_objective is "MAXIMIZE_RECALL_AT_PRECISION".
+     * Must be between 0 and 1, inclusive.
+     *
+ * + * float optimization_objective_precision_value = 18; + * + * @param value The optimizationObjectivePrecisionValue to set. + * @return This builder for chaining. + */ + public Builder setOptimizationObjectivePrecisionValue(float value) { + additionalOptimizationObjectiveConfigCase_ = 18; + additionalOptimizationObjectiveConfig_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required when optimization_objective is "MAXIMIZE_RECALL_AT_PRECISION".
+     * Must be between 0 and 1, inclusive.
+     *
+ * + * float optimization_objective_precision_value = 18; + * + * @return This builder for chaining. + */ + public Builder clearOptimizationObjectivePrecisionValue() { + if (additionalOptimizationObjectiveConfigCase_ == 18) { + additionalOptimizationObjectiveConfigCase_ = 0; + additionalOptimizationObjectiveConfig_ = null; + onChanged(); + } + return this; + } + + private com.google.cloud.automl.v1beta1.ColumnSpec targetColumnSpec_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ColumnSpec, + com.google.cloud.automl.v1beta1.ColumnSpec.Builder, + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder> + targetColumnSpecBuilder_; + /** + * + * + * 
+     * Column spec of the dataset's primary table's column the model is
+     * predicting. Snapshotted when model creation started.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if it's not then the ColumnSpec
+     *        corresponding to the current target_column_spec_id of the dataset
+     *        the model is trained from is used.
+     *        If neither is set, CreateModel will error.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + * + * @return Whether the targetColumnSpec field is set. + */ + public boolean hasTargetColumnSpec() { + return targetColumnSpecBuilder_ != null || targetColumnSpec_ != null; + } + /** + * + * + * 
+     * Column spec of the dataset's primary table's column the model is
+     * predicting. Snapshotted when model creation started.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if it's not then the ColumnSpec
+     *        corresponding to the current target_column_spec_id of the dataset
+     *        the model is trained from is used.
+     *        If neither is set, CreateModel will error.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + * + * @return The targetColumnSpec. + */ + public com.google.cloud.automl.v1beta1.ColumnSpec getTargetColumnSpec() { + if (targetColumnSpecBuilder_ == null) { + return targetColumnSpec_ == null + ? com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance() + : targetColumnSpec_; + } else { + return targetColumnSpecBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Column spec of the dataset's primary table's column the model is
+     * predicting. Snapshotted when model creation started.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if it's not then the ColumnSpec
+     *        corresponding to the current target_column_spec_id of the dataset
+     *        the model is trained from is used.
+     *        If neither is set, CreateModel will error.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + */ + public Builder setTargetColumnSpec(com.google.cloud.automl.v1beta1.ColumnSpec value) { + if (targetColumnSpecBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + targetColumnSpec_ = value; + onChanged(); + } else { + targetColumnSpecBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Column spec of the dataset's primary table's column the model is
+     * predicting. Snapshotted when model creation started.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if it's not then the ColumnSpec
+     *        corresponding to the current target_column_spec_id of the dataset
+     *        the model is trained from is used.
+     *        If neither is set, CreateModel will error.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + */ + public Builder setTargetColumnSpec( + com.google.cloud.automl.v1beta1.ColumnSpec.Builder builderForValue) { + if (targetColumnSpecBuilder_ == null) { + targetColumnSpec_ = builderForValue.build(); + onChanged(); + } else { + targetColumnSpecBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Column spec of the dataset's primary table's column the model is
+     * predicting. Snapshotted when model creation started.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if it's not then the ColumnSpec
+     *        corresponding to the current target_column_spec_id of the dataset
+     *        the model is trained from is used.
+     *        If neither is set, CreateModel will error.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + */ + public Builder mergeTargetColumnSpec(com.google.cloud.automl.v1beta1.ColumnSpec value) { + if (targetColumnSpecBuilder_ == null) { + if (targetColumnSpec_ != null) { + targetColumnSpec_ = + com.google.cloud.automl.v1beta1.ColumnSpec.newBuilder(targetColumnSpec_) + .mergeFrom(value) + .buildPartial(); + } else { + targetColumnSpec_ = value; + } + onChanged(); + } else { + targetColumnSpecBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Column spec of the dataset's primary table's column the model is
+     * predicting. Snapshotted when model creation started.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if it's not then the ColumnSpec
+     *        corresponding to the current target_column_spec_id of the dataset
+     *        the model is trained from is used.
+     *        If neither is set, CreateModel will error.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + */ + public Builder clearTargetColumnSpec() { + if (targetColumnSpecBuilder_ == null) { + targetColumnSpec_ = null; + onChanged(); + } else { + targetColumnSpec_ = null; + targetColumnSpecBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Column spec of the dataset's primary table's column the model is
+     * predicting. Snapshotted when model creation started.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if it's not then the ColumnSpec
+     *        corresponding to the current target_column_spec_id of the dataset
+     *        the model is trained from is used.
+     *        If neither is set, CreateModel will error.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + */ + public com.google.cloud.automl.v1beta1.ColumnSpec.Builder getTargetColumnSpecBuilder() { + + onChanged(); + return getTargetColumnSpecFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Column spec of the dataset's primary table's column the model is
+     * predicting. Snapshotted when model creation started.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if it's not then the ColumnSpec
+     *        corresponding to the current target_column_spec_id of the dataset
+     *        the model is trained from is used.
+     *        If neither is set, CreateModel will error.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + */ + public com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder getTargetColumnSpecOrBuilder() { + if (targetColumnSpecBuilder_ != null) { + return targetColumnSpecBuilder_.getMessageOrBuilder(); + } else { + return targetColumnSpec_ == null + ? com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance() + : targetColumnSpec_; + } + } + /** + * + * + * 
+     * Column spec of the dataset's primary table's column the model is
+     * predicting. Snapshotted when model creation started.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if it's not then the ColumnSpec
+     *        corresponding to the current target_column_spec_id of the dataset
+     *        the model is trained from is used.
+     *        If neither is set, CreateModel will error.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ColumnSpec, + com.google.cloud.automl.v1beta1.ColumnSpec.Builder, + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder> + getTargetColumnSpecFieldBuilder() { + if (targetColumnSpecBuilder_ == null) { + targetColumnSpecBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ColumnSpec, + com.google.cloud.automl.v1beta1.ColumnSpec.Builder, + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder>( + getTargetColumnSpec(), getParentForChildren(), isClean()); + targetColumnSpec_ = null; + } + return targetColumnSpecBuilder_; + } + + private java.util.List inputFeatureColumnSpecs_ = + java.util.Collections.emptyList(); + + private void ensureInputFeatureColumnSpecsIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + inputFeatureColumnSpecs_ = + new java.util.ArrayList( + inputFeatureColumnSpecs_); + bitField0_ |= 0x00000001; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.ColumnSpec, + com.google.cloud.automl.v1beta1.ColumnSpec.Builder, + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder> + inputFeatureColumnSpecsBuilder_; + + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * * name - May be set on CreateModel, if set only the columns specified are
+     *   used, otherwise all primary table's columns (except the ones listed
+     *   above) are used for the training and prediction input.
+     * * display_name - Output only.
+     * * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public java.util.List + getInputFeatureColumnSpecsList() { + if (inputFeatureColumnSpecsBuilder_ == null) { + return java.util.Collections.unmodifiableList(inputFeatureColumnSpecs_); + } else { + return inputFeatureColumnSpecsBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * * name - May be set on CreateModel, if set only the columns specified are
+     *   used, otherwise all primary table's columns (except the ones listed
+     *   above) are used for the training and prediction input.
+     * * display_name - Output only.
+     * * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public int getInputFeatureColumnSpecsCount() { + if (inputFeatureColumnSpecsBuilder_ == null) { + return inputFeatureColumnSpecs_.size(); + } else { + return inputFeatureColumnSpecsBuilder_.getCount(); + } + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * * name - May be set on CreateModel, if set only the columns specified are
+     *   used, otherwise all primary table's columns (except the ones listed
+     *   above) are used for the training and prediction input.
+     * * display_name - Output only.
+     * * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public com.google.cloud.automl.v1beta1.ColumnSpec getInputFeatureColumnSpecs(int index) { + if (inputFeatureColumnSpecsBuilder_ == null) { + return inputFeatureColumnSpecs_.get(index); + } else { + return inputFeatureColumnSpecsBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * * name - May be set on CreateModel, if set only the columns specified are
+     *   used, otherwise all primary table's columns (except the ones listed
+     *   above) are used for the training and prediction input.
+     * * display_name - Output only.
+     * * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public Builder setInputFeatureColumnSpecs( + int index, com.google.cloud.automl.v1beta1.ColumnSpec value) { + if (inputFeatureColumnSpecsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureInputFeatureColumnSpecsIsMutable(); + inputFeatureColumnSpecs_.set(index, value); + onChanged(); + } else { + inputFeatureColumnSpecsBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * * name - May be set on CreateModel, if set only the columns specified are
+     *   used, otherwise all primary table's columns (except the ones listed
+     *   above) are used for the training and prediction input.
+     * * display_name - Output only.
+     * * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public Builder setInputFeatureColumnSpecs( + int index, com.google.cloud.automl.v1beta1.ColumnSpec.Builder builderForValue) { + if (inputFeatureColumnSpecsBuilder_ == null) { + ensureInputFeatureColumnSpecsIsMutable(); + inputFeatureColumnSpecs_.set(index, builderForValue.build()); + onChanged(); + } else { + inputFeatureColumnSpecsBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * * name - May be set on CreateModel, if set only the columns specified are
+     *   used, otherwise all primary table's columns (except the ones listed
+     *   above) are used for the training and prediction input.
+     * * display_name - Output only.
+     * * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public Builder addInputFeatureColumnSpecs(com.google.cloud.automl.v1beta1.ColumnSpec value) { + if (inputFeatureColumnSpecsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureInputFeatureColumnSpecsIsMutable(); + inputFeatureColumnSpecs_.add(value); + onChanged(); + } else { + inputFeatureColumnSpecsBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * * name - May be set on CreateModel, if set only the columns specified are
+     *   used, otherwise all primary table's columns (except the ones listed
+     *   above) are used for the training and prediction input.
+     * * display_name - Output only.
+     * * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public Builder addInputFeatureColumnSpecs( + int index, com.google.cloud.automl.v1beta1.ColumnSpec value) { + if (inputFeatureColumnSpecsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureInputFeatureColumnSpecsIsMutable(); + inputFeatureColumnSpecs_.add(index, value); + onChanged(); + } else { + inputFeatureColumnSpecsBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * * name - May be set on CreateModel, if set only the columns specified are
+     *   used, otherwise all primary table's columns (except the ones listed
+     *   above) are used for the training and prediction input.
+     * * display_name - Output only.
+     * * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public Builder addInputFeatureColumnSpecs( + com.google.cloud.automl.v1beta1.ColumnSpec.Builder builderForValue) { + if (inputFeatureColumnSpecsBuilder_ == null) { + ensureInputFeatureColumnSpecsIsMutable(); + inputFeatureColumnSpecs_.add(builderForValue.build()); + onChanged(); + } else { + inputFeatureColumnSpecsBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * * name - May be set on CreateModel, if set only the columns specified are
+     *   used, otherwise all primary table's columns (except the ones listed
+     *   above) are used for the training and prediction input.
+     * * display_name - Output only.
+     * * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public Builder addInputFeatureColumnSpecs( + int index, com.google.cloud.automl.v1beta1.ColumnSpec.Builder builderForValue) { + if (inputFeatureColumnSpecsBuilder_ == null) { + ensureInputFeatureColumnSpecsIsMutable(); + inputFeatureColumnSpecs_.add(index, builderForValue.build()); + onChanged(); + } else { + inputFeatureColumnSpecsBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * * name - May be set on CreateModel, if set only the columns specified are
+     *   used, otherwise all primary table's columns (except the ones listed
+     *   above) are used for the training and prediction input.
+     * * display_name - Output only.
+     * * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public Builder addAllInputFeatureColumnSpecs( + java.lang.Iterable values) { + if (inputFeatureColumnSpecsBuilder_ == null) { + ensureInputFeatureColumnSpecsIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, inputFeatureColumnSpecs_); + onChanged(); + } else { + inputFeatureColumnSpecsBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * * name - May be set on CreateModel, if set only the columns specified are
+     *   used, otherwise all primary table's columns (except the ones listed
+     *   above) are used for the training and prediction input.
+     * * display_name - Output only.
+     * * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public Builder clearInputFeatureColumnSpecs() { + if (inputFeatureColumnSpecsBuilder_ == null) { + inputFeatureColumnSpecs_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + } else { + inputFeatureColumnSpecsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * * name - May be set on CreateModel, if set only the columns specified are
+     *   used, otherwise all primary table's columns (except the ones listed
+     *   above) are used for the training and prediction input.
+     * * display_name - Output only.
+     * * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public Builder removeInputFeatureColumnSpecs(int index) { + if (inputFeatureColumnSpecsBuilder_ == null) { + ensureInputFeatureColumnSpecsIsMutable(); + inputFeatureColumnSpecs_.remove(index); + onChanged(); + } else { + inputFeatureColumnSpecsBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * * name - May be set on CreateModel, if set only the columns specified are
+     *   used, otherwise all primary table's columns (except the ones listed
+     *   above) are used for the training and prediction input.
+     * * display_name - Output only.
+     * * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public com.google.cloud.automl.v1beta1.ColumnSpec.Builder getInputFeatureColumnSpecsBuilder( + int index) { + return getInputFeatureColumnSpecsFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * * name - May be set on CreateModel, if set only the columns specified are
+     *   used, otherwise all primary table's columns (except the ones listed
+     *   above) are used for the training and prediction input.
+     * * display_name - Output only.
+     * * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder getInputFeatureColumnSpecsOrBuilder( + int index) { + if (inputFeatureColumnSpecsBuilder_ == null) { + return inputFeatureColumnSpecs_.get(index); + } else { + return inputFeatureColumnSpecsBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * * name - May be set on CreateModel, if set only the columns specified are
+     *   used, otherwise all primary table's columns (except the ones listed
+     *   above) are used for the training and prediction input.
+     * * display_name - Output only.
+     * * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public java.util.List + getInputFeatureColumnSpecsOrBuilderList() { + if (inputFeatureColumnSpecsBuilder_ != null) { + return inputFeatureColumnSpecsBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(inputFeatureColumnSpecs_); + } + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * * name - May be set on CreateModel, if set only the columns specified are
+     *   used, otherwise all primary table's columns (except the ones listed
+     *   above) are used for the training and prediction input.
+     * * display_name - Output only.
+     * * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public com.google.cloud.automl.v1beta1.ColumnSpec.Builder addInputFeatureColumnSpecsBuilder() { + return getInputFeatureColumnSpecsFieldBuilder() + .addBuilder(com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance()); + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * * name - May be set on CreateModel, if set only the columns specified are
+     *   used, otherwise all primary table's columns (except the ones listed
+     *   above) are used for the training and prediction input.
+     * * display_name - Output only.
+     * * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public com.google.cloud.automl.v1beta1.ColumnSpec.Builder addInputFeatureColumnSpecsBuilder( + int index) { + return getInputFeatureColumnSpecsFieldBuilder() + .addBuilder(index, com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance()); + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * * name - May be set on CreateModel, if set only the columns specified are
+     *   used, otherwise all primary table's columns (except the ones listed
+     *   above) are used for the training and prediction input.
+     * * display_name - Output only.
+     * * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public java.util.List + getInputFeatureColumnSpecsBuilderList() { + return getInputFeatureColumnSpecsFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.ColumnSpec, + com.google.cloud.automl.v1beta1.ColumnSpec.Builder, + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder> + getInputFeatureColumnSpecsFieldBuilder() { + if (inputFeatureColumnSpecsBuilder_ == null) { + inputFeatureColumnSpecsBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.ColumnSpec, + com.google.cloud.automl.v1beta1.ColumnSpec.Builder, + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder>( + inputFeatureColumnSpecs_, + ((bitField0_ & 0x00000001) != 0), + getParentForChildren(), + isClean()); + inputFeatureColumnSpecs_ = null; + } + return inputFeatureColumnSpecsBuilder_; + } + + private java.lang.Object optimizationObjective_ = ""; + /** + * + * + * 
+     * Objective function the model is optimizing towards. The training process
+     * creates a model that maximizes/minimizes the value of the objective
+     * function over the validation set.
+     * The supported optimization objectives depend on the prediction type.
+     * If the field is not set, a default objective function is used.
+     * CLASSIFICATION_BINARY:
+     *   "MAXIMIZE_AU_ROC" (default) - Maximize the area under the receiver
+     *                                 operating characteristic (ROC) curve.
+     *   "MINIMIZE_LOG_LOSS" - Minimize log loss.
+     *   "MAXIMIZE_AU_PRC" - Maximize the area under the precision-recall curve.
+     *   "MAXIMIZE_PRECISION_AT_RECALL" - Maximize precision for a specified
+     *                                   recall value.
+     *   "MAXIMIZE_RECALL_AT_PRECISION" - Maximize recall for a specified
+     *                                    precision value.
+     * CLASSIFICATION_MULTI_CLASS :
+     *   "MINIMIZE_LOG_LOSS" (default) - Minimize log loss.
+     * REGRESSION:
+     *   "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
+     *   "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
+     *   "MINIMIZE_RMSLE" - Minimize root-mean-squared log error (RMSLE).
+     *
+ * + * string optimization_objective = 4; + * + * @return The optimizationObjective. + */ + public java.lang.String getOptimizationObjective() { + java.lang.Object ref = optimizationObjective_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + optimizationObjective_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Objective function the model is optimizing towards. The training process
+     * creates a model that maximizes/minimizes the value of the objective
+     * function over the validation set.
+     * The supported optimization objectives depend on the prediction type.
+     * If the field is not set, a default objective function is used.
+     * CLASSIFICATION_BINARY:
+     *   "MAXIMIZE_AU_ROC" (default) - Maximize the area under the receiver
+     *                                 operating characteristic (ROC) curve.
+     *   "MINIMIZE_LOG_LOSS" - Minimize log loss.
+     *   "MAXIMIZE_AU_PRC" - Maximize the area under the precision-recall curve.
+     *   "MAXIMIZE_PRECISION_AT_RECALL" - Maximize precision for a specified
+     *                                   recall value.
+     *   "MAXIMIZE_RECALL_AT_PRECISION" - Maximize recall for a specified
+     *                                    precision value.
+     * CLASSIFICATION_MULTI_CLASS :
+     *   "MINIMIZE_LOG_LOSS" (default) - Minimize log loss.
+     * REGRESSION:
+     *   "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
+     *   "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
+     *   "MINIMIZE_RMSLE" - Minimize root-mean-squared log error (RMSLE).
+     *
+ * + * string optimization_objective = 4; + * + * @return The bytes for optimizationObjective. + */ + public com.google.protobuf.ByteString getOptimizationObjectiveBytes() { + java.lang.Object ref = optimizationObjective_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + optimizationObjective_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Objective function the model is optimizing towards. The training process
+     * creates a model that maximizes/minimizes the value of the objective
+     * function over the validation set.
+     * The supported optimization objectives depend on the prediction type.
+     * If the field is not set, a default objective function is used.
+     * CLASSIFICATION_BINARY:
+     *   "MAXIMIZE_AU_ROC" (default) - Maximize the area under the receiver
+     *                                 operating characteristic (ROC) curve.
+     *   "MINIMIZE_LOG_LOSS" - Minimize log loss.
+     *   "MAXIMIZE_AU_PRC" - Maximize the area under the precision-recall curve.
+     *   "MAXIMIZE_PRECISION_AT_RECALL" - Maximize precision for a specified
+     *                                   recall value.
+     *   "MAXIMIZE_RECALL_AT_PRECISION" - Maximize recall for a specified
+     *                                    precision value.
+     * CLASSIFICATION_MULTI_CLASS :
+     *   "MINIMIZE_LOG_LOSS" (default) - Minimize log loss.
+     * REGRESSION:
+     *   "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
+     *   "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
+     *   "MINIMIZE_RMSLE" - Minimize root-mean-squared log error (RMSLE).
+     *
+ * + * string optimization_objective = 4; + * + * @param value The optimizationObjective to set. + * @return This builder for chaining. + */ + public Builder setOptimizationObjective(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + optimizationObjective_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Objective function the model is optimizing towards. The training process
+     * creates a model that maximizes/minimizes the value of the objective
+     * function over the validation set.
+     * The supported optimization objectives depend on the prediction type.
+     * If the field is not set, a default objective function is used.
+     * CLASSIFICATION_BINARY:
+     *   "MAXIMIZE_AU_ROC" (default) - Maximize the area under the receiver
+     *                                 operating characteristic (ROC) curve.
+     *   "MINIMIZE_LOG_LOSS" - Minimize log loss.
+     *   "MAXIMIZE_AU_PRC" - Maximize the area under the precision-recall curve.
+     *   "MAXIMIZE_PRECISION_AT_RECALL" - Maximize precision for a specified
+     *                                   recall value.
+     *   "MAXIMIZE_RECALL_AT_PRECISION" - Maximize recall for a specified
+     *                                    precision value.
+     * CLASSIFICATION_MULTI_CLASS :
+     *   "MINIMIZE_LOG_LOSS" (default) - Minimize log loss.
+     * REGRESSION:
+     *   "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
+     *   "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
+     *   "MINIMIZE_RMSLE" - Minimize root-mean-squared log error (RMSLE).
+     *
+ * + * string optimization_objective = 4; + * + * @return This builder for chaining. + */ + public Builder clearOptimizationObjective() { + + optimizationObjective_ = getDefaultInstance().getOptimizationObjective(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Objective function the model is optimizing towards. The training process
+     * creates a model that maximizes/minimizes the value of the objective
+     * function over the validation set.
+     * The supported optimization objectives depend on the prediction type.
+     * If the field is not set, a default objective function is used.
+     * CLASSIFICATION_BINARY:
+     *   "MAXIMIZE_AU_ROC" (default) - Maximize the area under the receiver
+     *                                 operating characteristic (ROC) curve.
+     *   "MINIMIZE_LOG_LOSS" - Minimize log loss.
+     *   "MAXIMIZE_AU_PRC" - Maximize the area under the precision-recall curve.
+     *   "MAXIMIZE_PRECISION_AT_RECALL" - Maximize precision for a specified
+     *                                   recall value.
+     *   "MAXIMIZE_RECALL_AT_PRECISION" - Maximize recall for a specified
+     *                                    precision value.
+     * CLASSIFICATION_MULTI_CLASS :
+     *   "MINIMIZE_LOG_LOSS" (default) - Minimize log loss.
+     * REGRESSION:
+     *   "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
+     *   "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
+     *   "MINIMIZE_RMSLE" - Minimize root-mean-squared log error (RMSLE).
+     *
+ * + * string optimization_objective = 4; + * + * @param value The bytes for optimizationObjective to set. + * @return This builder for chaining. + */ + public Builder setOptimizationObjectiveBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + optimizationObjective_ = value; + onChanged(); + return this; + } + + private java.util.List + tablesModelColumnInfo_ = java.util.Collections.emptyList(); + + private void ensureTablesModelColumnInfoIsMutable() { + if (!((bitField0_ & 0x00000002) != 0)) { + tablesModelColumnInfo_ = + new java.util.ArrayList( + tablesModelColumnInfo_); + bitField0_ |= 0x00000002; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.TablesModelColumnInfo, + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder, + com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder> + tablesModelColumnInfoBuilder_; + + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public java.util.List + getTablesModelColumnInfoList() { + if (tablesModelColumnInfoBuilder_ == null) { + return java.util.Collections.unmodifiableList(tablesModelColumnInfo_); + } else { + return tablesModelColumnInfoBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public int getTablesModelColumnInfoCount() { + if (tablesModelColumnInfoBuilder_ == null) { + return tablesModelColumnInfo_.size(); + } else { + return tablesModelColumnInfoBuilder_.getCount(); + } + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo getTablesModelColumnInfo( + int index) { + if (tablesModelColumnInfoBuilder_ == null) { + return tablesModelColumnInfo_.get(index); + } else { + return tablesModelColumnInfoBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public Builder setTablesModelColumnInfo( + int index, com.google.cloud.automl.v1beta1.TablesModelColumnInfo value) { + if (tablesModelColumnInfoBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.set(index, value); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public Builder setTablesModelColumnInfo( + int index, com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder builderForValue) { + if (tablesModelColumnInfoBuilder_ == null) { + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.set(index, builderForValue.build()); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public Builder addTablesModelColumnInfo( + com.google.cloud.automl.v1beta1.TablesModelColumnInfo value) { + if (tablesModelColumnInfoBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.add(value); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public Builder addTablesModelColumnInfo( + int index, com.google.cloud.automl.v1beta1.TablesModelColumnInfo value) { + if (tablesModelColumnInfoBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.add(index, value); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public Builder addTablesModelColumnInfo( + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder builderForValue) { + if (tablesModelColumnInfoBuilder_ == null) { + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.add(builderForValue.build()); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public Builder addTablesModelColumnInfo( + int index, com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder builderForValue) { + if (tablesModelColumnInfoBuilder_ == null) { + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.add(index, builderForValue.build()); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public Builder addAllTablesModelColumnInfo( + java.lang.Iterable + values) { + if (tablesModelColumnInfoBuilder_ == null) { + ensureTablesModelColumnInfoIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, tablesModelColumnInfo_); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public Builder clearTablesModelColumnInfo() { + if (tablesModelColumnInfoBuilder_ == null) { + tablesModelColumnInfo_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000002); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public Builder removeTablesModelColumnInfo(int index) { + if (tablesModelColumnInfoBuilder_ == null) { + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.remove(index); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder + getTablesModelColumnInfoBuilder(int index) { + return getTablesModelColumnInfoFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder + getTablesModelColumnInfoOrBuilder(int index) { + if (tablesModelColumnInfoBuilder_ == null) { + return tablesModelColumnInfo_.get(index); + } else { + return tablesModelColumnInfoBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public java.util.List + getTablesModelColumnInfoOrBuilderList() { + if (tablesModelColumnInfoBuilder_ != null) { + return tablesModelColumnInfoBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(tablesModelColumnInfo_); + } + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder + addTablesModelColumnInfoBuilder() { + return getTablesModelColumnInfoFieldBuilder() + .addBuilder(com.google.cloud.automl.v1beta1.TablesModelColumnInfo.getDefaultInstance()); + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder + addTablesModelColumnInfoBuilder(int index) { + return getTablesModelColumnInfoFieldBuilder() + .addBuilder( + index, com.google.cloud.automl.v1beta1.TablesModelColumnInfo.getDefaultInstance()); + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public java.util.List + getTablesModelColumnInfoBuilderList() { + return getTablesModelColumnInfoFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.TablesModelColumnInfo, + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder, + com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder> + getTablesModelColumnInfoFieldBuilder() { + if (tablesModelColumnInfoBuilder_ == null) { + tablesModelColumnInfoBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.TablesModelColumnInfo, + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder, + com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder>( + tablesModelColumnInfo_, + ((bitField0_ & 0x00000002) != 0), + getParentForChildren(), + isClean()); + tablesModelColumnInfo_ = null; + } + return tablesModelColumnInfoBuilder_; + } + + private long trainBudgetMilliNodeHours_; + /** + * + * + * 
+     * Required. The train budget of creating this model, expressed in milli node
+     * hours i.e. 1,000 value in this field means 1 node hour.
+     * The training cost of the model will not exceed this budget. The final cost
+     * will be attempted to be close to the budget, though may end up being (even)
+     * noticeably smaller - at the backend's discretion. This especially may
+     * happen when further model training ceases to provide any improvements.
+     * If the budget is set to a value known to be insufficient to train a
+     * model for the given dataset, the training won't be attempted and
+     * will error.
+     * The train budget must be between 1,000 and 72,000 milli node hours,
+     * inclusive.
+     *
+ * + * int64 train_budget_milli_node_hours = 6; + * + * @return The trainBudgetMilliNodeHours. + */ + public long getTrainBudgetMilliNodeHours() { + return trainBudgetMilliNodeHours_; + } + /** + * + * + * 
+     * Required. The train budget of creating this model, expressed in milli node
+     * hours i.e. 1,000 value in this field means 1 node hour.
+     * The training cost of the model will not exceed this budget. The final cost
+     * will be attempted to be close to the budget, though may end up being (even)
+     * noticeably smaller - at the backend's discretion. This especially may
+     * happen when further model training ceases to provide any improvements.
+     * If the budget is set to a value known to be insufficient to train a
+     * model for the given dataset, the training won't be attempted and
+     * will error.
+     * The train budget must be between 1,000 and 72,000 milli node hours,
+     * inclusive.
+     *
+ * + * int64 train_budget_milli_node_hours = 6; + * + * @param value The trainBudgetMilliNodeHours to set. + * @return This builder for chaining. + */ + public Builder setTrainBudgetMilliNodeHours(long value) { + + trainBudgetMilliNodeHours_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The train budget of creating this model, expressed in milli node
+     * hours i.e. 1,000 value in this field means 1 node hour.
+     * The training cost of the model will not exceed this budget. The final cost
+     * will be attempted to be close to the budget, though may end up being (even)
+     * noticeably smaller - at the backend's discretion. This especially may
+     * happen when further model training ceases to provide any improvements.
+     * If the budget is set to a value known to be insufficient to train a
+     * model for the given dataset, the training won't be attempted and
+     * will error.
+     * The train budget must be between 1,000 and 72,000 milli node hours,
+     * inclusive.
+     *
+ * + * int64 train_budget_milli_node_hours = 6; + * + * @return This builder for chaining. + */ + public Builder clearTrainBudgetMilliNodeHours() { + + trainBudgetMilliNodeHours_ = 0L; + onChanged(); + return this; + } + + private long trainCostMilliNodeHours_; + /** + * + * + * 
+     * Output only. The actual training cost of the model, expressed in milli
+     * node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed
+     * to not exceed the train budget.
+     *
+ * + * int64 train_cost_milli_node_hours = 7; + * + * @return The trainCostMilliNodeHours. + */ + public long getTrainCostMilliNodeHours() { + return trainCostMilliNodeHours_; + } + /** + * + * + * 
+     * Output only. The actual training cost of the model, expressed in milli
+     * node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed
+     * to not exceed the train budget.
+     *
+ * + * int64 train_cost_milli_node_hours = 7; + * + * @param value The trainCostMilliNodeHours to set. + * @return This builder for chaining. + */ + public Builder setTrainCostMilliNodeHours(long value) { + + trainCostMilliNodeHours_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The actual training cost of the model, expressed in milli
+     * node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed
+     * to not exceed the train budget.
+     *
+ * + * int64 train_cost_milli_node_hours = 7; + * + * @return This builder for chaining. + */ + public Builder clearTrainCostMilliNodeHours() { + + trainCostMilliNodeHours_ = 0L; + onChanged(); + return this; + } + + private boolean disableEarlyStopping_; + /** + * + * + * 
+     * Use the entire training budget. This disables the early stopping feature.
+     * By default, the early stopping feature is enabled, which means that AutoML
+     * Tables might stop training before the entire training budget has been used.
+     *
+ * + * bool disable_early_stopping = 12; + * + * @return The disableEarlyStopping. + */ + public boolean getDisableEarlyStopping() { + return disableEarlyStopping_; + } + /** + * + * + * 
+     * Use the entire training budget. This disables the early stopping feature.
+     * By default, the early stopping feature is enabled, which means that AutoML
+     * Tables might stop training before the entire training budget has been used.
+     *
+ * + * bool disable_early_stopping = 12; + * + * @param value The disableEarlyStopping to set. + * @return This builder for chaining. + */ + public Builder setDisableEarlyStopping(boolean value) { + + disableEarlyStopping_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Use the entire training budget. This disables the early stopping feature.
+     * By default, the early stopping feature is enabled, which means that AutoML
+     * Tables might stop training before the entire training budget has been used.
+     *
+ * + * bool disable_early_stopping = 12; + * + * @return This builder for chaining. + */ + public Builder clearDisableEarlyStopping() { + + disableEarlyStopping_ = false; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TablesModelMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TablesModelMetadata) + private static final com.google.cloud.automl.v1beta1.TablesModelMetadata DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TablesModelMetadata(); + } + + public static com.google.cloud.automl.v1beta1.TablesModelMetadata getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TablesModelMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TablesModelMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesModelMetadata getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelMetadataOrBuilder.java new file mode 100644 index 000000000..47b3a1106 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelMetadataOrBuilder.java @@ -0,0 +1,419 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/tables.proto + +package com.google.cloud.automl.v1beta1; + +public interface TablesModelMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TablesModelMetadata) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required when optimization_objective is "MAXIMIZE_PRECISION_AT_RECALL".
+   * Must be between 0 and 1, inclusive.
+   *
+ * + * float optimization_objective_recall_value = 17; + * + * @return The optimizationObjectiveRecallValue. + */ + float getOptimizationObjectiveRecallValue(); + + /** + * + * + * 
+   * Required when optimization_objective is "MAXIMIZE_RECALL_AT_PRECISION".
+   * Must be between 0 and 1, inclusive.
+   *
+ * + * float optimization_objective_precision_value = 18; + * + * @return The optimizationObjectivePrecisionValue. + */ + float getOptimizationObjectivePrecisionValue(); + + /** + * + * + * 
+   * Column spec of the dataset's primary table's column the model is
+   * predicting. Snapshotted when model creation started.
+   * Only 3 fields are used:
+   * name - May be set on CreateModel, if it's not then the ColumnSpec
+   *        corresponding to the current target_column_spec_id of the dataset
+   *        the model is trained from is used.
+   *        If neither is set, CreateModel will error.
+   * display_name - Output only.
+   * data_type - Output only.
+   *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + * + * @return Whether the targetColumnSpec field is set. + */ + boolean hasTargetColumnSpec(); + /** + * + * + * 
+   * Column spec of the dataset's primary table's column the model is
+   * predicting. Snapshotted when model creation started.
+   * Only 3 fields are used:
+   * name - May be set on CreateModel, if it's not then the ColumnSpec
+   *        corresponding to the current target_column_spec_id of the dataset
+   *        the model is trained from is used.
+   *        If neither is set, CreateModel will error.
+   * display_name - Output only.
+   * data_type - Output only.
+   *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + * + * @return The targetColumnSpec. + */ + com.google.cloud.automl.v1beta1.ColumnSpec getTargetColumnSpec(); + /** + * + * + * 
+   * Column spec of the dataset's primary table's column the model is
+   * predicting. Snapshotted when model creation started.
+   * Only 3 fields are used:
+   * name - May be set on CreateModel, if it's not then the ColumnSpec
+   *        corresponding to the current target_column_spec_id of the dataset
+   *        the model is trained from is used.
+   *        If neither is set, CreateModel will error.
+   * display_name - Output only.
+   * data_type - Output only.
+   *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + */ + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder getTargetColumnSpecOrBuilder(); + + /** + * + * + * 
+   * Column specs of the dataset's primary table's columns, on which
+   * the model is trained and which are used as the input for predictions.
+   * The
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * as well as, according to dataset's state upon model creation,
+   * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+   * and
+   * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+   * must never be included here.
+   * Only 3 fields are used:
+   * * name - May be set on CreateModel, if set only the columns specified are
+   *   used, otherwise all primary table's columns (except the ones listed
+   *   above) are used for the training and prediction input.
+   * * display_name - Output only.
+   * * data_type - Output only.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + java.util.List getInputFeatureColumnSpecsList(); + /** + * + * + * 
+   * Column specs of the dataset's primary table's columns, on which
+   * the model is trained and which are used as the input for predictions.
+   * The
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * as well as, according to dataset's state upon model creation,
+   * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+   * and
+   * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+   * must never be included here.
+   * Only 3 fields are used:
+   * * name - May be set on CreateModel, if set only the columns specified are
+   *   used, otherwise all primary table's columns (except the ones listed
+   *   above) are used for the training and prediction input.
+   * * display_name - Output only.
+   * * data_type - Output only.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + com.google.cloud.automl.v1beta1.ColumnSpec getInputFeatureColumnSpecs(int index); + /** + * + * + * 
+   * Column specs of the dataset's primary table's columns, on which
+   * the model is trained and which are used as the input for predictions.
+   * The
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * as well as, according to dataset's state upon model creation,
+   * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+   * and
+   * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+   * must never be included here.
+   * Only 3 fields are used:
+   * * name - May be set on CreateModel, if set only the columns specified are
+   *   used, otherwise all primary table's columns (except the ones listed
+   *   above) are used for the training and prediction input.
+   * * display_name - Output only.
+   * * data_type - Output only.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + int getInputFeatureColumnSpecsCount(); + /** + * + * + * 
+   * Column specs of the dataset's primary table's columns, on which
+   * the model is trained and which are used as the input for predictions.
+   * The
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * as well as, according to dataset's state upon model creation,
+   * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+   * and
+   * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+   * must never be included here.
+   * Only 3 fields are used:
+   * * name - May be set on CreateModel, if set only the columns specified are
+   *   used, otherwise all primary table's columns (except the ones listed
+   *   above) are used for the training and prediction input.
+   * * display_name - Output only.
+   * * data_type - Output only.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + java.util.List + getInputFeatureColumnSpecsOrBuilderList(); + /** + * + * + * 
+   * Column specs of the dataset's primary table's columns, on which
+   * the model is trained and which are used as the input for predictions.
+   * The
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * as well as, according to dataset's state upon model creation,
+   * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+   * and
+   * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+   * must never be included here.
+   * Only 3 fields are used:
+   * * name - May be set on CreateModel, if set only the columns specified are
+   *   used, otherwise all primary table's columns (except the ones listed
+   *   above) are used for the training and prediction input.
+   * * display_name - Output only.
+   * * data_type - Output only.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder getInputFeatureColumnSpecsOrBuilder( + int index); + + /** + * + * + * 
+   * Objective function the model is optimizing towards. The training process
+   * creates a model that maximizes/minimizes the value of the objective
+   * function over the validation set.
+   * The supported optimization objectives depend on the prediction type.
+   * If the field is not set, a default objective function is used.
+   * CLASSIFICATION_BINARY:
+   *   "MAXIMIZE_AU_ROC" (default) - Maximize the area under the receiver
+   *                                 operating characteristic (ROC) curve.
+   *   "MINIMIZE_LOG_LOSS" - Minimize log loss.
+   *   "MAXIMIZE_AU_PRC" - Maximize the area under the precision-recall curve.
+   *   "MAXIMIZE_PRECISION_AT_RECALL" - Maximize precision for a specified
+   *                                   recall value.
+   *   "MAXIMIZE_RECALL_AT_PRECISION" - Maximize recall for a specified
+   *                                    precision value.
+   * CLASSIFICATION_MULTI_CLASS :
+   *   "MINIMIZE_LOG_LOSS" (default) - Minimize log loss.
+   * REGRESSION:
+   *   "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
+   *   "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
+   *   "MINIMIZE_RMSLE" - Minimize root-mean-squared log error (RMSLE).
+   *
+ * + * string optimization_objective = 4; + * + * @return The optimizationObjective. + */ + java.lang.String getOptimizationObjective(); + /** + * + * + * 
+   * Objective function the model is optimizing towards. The training process
+   * creates a model that maximizes/minimizes the value of the objective
+   * function over the validation set.
+   * The supported optimization objectives depend on the prediction type.
+   * If the field is not set, a default objective function is used.
+   * CLASSIFICATION_BINARY:
+   *   "MAXIMIZE_AU_ROC" (default) - Maximize the area under the receiver
+   *                                 operating characteristic (ROC) curve.
+   *   "MINIMIZE_LOG_LOSS" - Minimize log loss.
+   *   "MAXIMIZE_AU_PRC" - Maximize the area under the precision-recall curve.
+   *   "MAXIMIZE_PRECISION_AT_RECALL" - Maximize precision for a specified
+   *                                   recall value.
+   *   "MAXIMIZE_RECALL_AT_PRECISION" - Maximize recall for a specified
+   *                                    precision value.
+   * CLASSIFICATION_MULTI_CLASS :
+   *   "MINIMIZE_LOG_LOSS" (default) - Minimize log loss.
+   * REGRESSION:
+   *   "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
+   *   "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
+   *   "MINIMIZE_RMSLE" - Minimize root-mean-squared log error (RMSLE).
+   *
+ * + * string optimization_objective = 4; + * + * @return The bytes for optimizationObjective. + */ + com.google.protobuf.ByteString getOptimizationObjectiveBytes(); + + /** + * + * + * 
+   * Output only. Auxiliary information for each of the
+   * input_feature_column_specs with respect to this particular model.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + java.util.List + getTablesModelColumnInfoList(); + /** + * + * + * 
+   * Output only. Auxiliary information for each of the
+   * input_feature_column_specs with respect to this particular model.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + com.google.cloud.automl.v1beta1.TablesModelColumnInfo getTablesModelColumnInfo(int index); + /** + * + * + * 
+   * Output only. Auxiliary information for each of the
+   * input_feature_column_specs with respect to this particular model.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + int getTablesModelColumnInfoCount(); + /** + * + * + * 
+   * Output only. Auxiliary information for each of the
+   * input_feature_column_specs with respect to this particular model.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + java.util.List + getTablesModelColumnInfoOrBuilderList(); + /** + * + * + * 
+   * Output only. Auxiliary information for each of the
+   * input_feature_column_specs with respect to this particular model.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder getTablesModelColumnInfoOrBuilder( + int index); + + /** + * + * + * 
+   * Required. The train budget of creating this model, expressed in milli node
+   * hours i.e. 1,000 value in this field means 1 node hour.
+   * The training cost of the model will not exceed this budget. The final cost
+   * will be attempted to be close to the budget, though may end up being (even)
+   * noticeably smaller - at the backend's discretion. This especially may
+   * happen when further model training ceases to provide any improvements.
+   * If the budget is set to a value known to be insufficient to train a
+   * model for the given dataset, the training won't be attempted and
+   * will error.
+   * The train budget must be between 1,000 and 72,000 milli node hours,
+   * inclusive.
+   *
+ * + * int64 train_budget_milli_node_hours = 6; + * + * @return The trainBudgetMilliNodeHours. + */ + long getTrainBudgetMilliNodeHours(); + + /** + * + * + * 
+   * Output only. The actual training cost of the model, expressed in milli
+   * node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed
+   * to not exceed the train budget.
+   *
+ * + * int64 train_cost_milli_node_hours = 7; + * + * @return The trainCostMilliNodeHours. + */ + long getTrainCostMilliNodeHours(); + + /** + * + * + * 
+   * Use the entire training budget. This disables the early stopping feature.
+   * By default, the early stopping feature is enabled, which means that AutoML
+   * Tables might stop training before the entire training budget has been used.
+   *
+ * + * bool disable_early_stopping = 12; + * + * @return The disableEarlyStopping. + */ + boolean getDisableEarlyStopping(); + + public com.google.cloud.automl.v1beta1.TablesModelMetadata + .AdditionalOptimizationObjectiveConfigCase + getAdditionalOptimizationObjectiveConfigCase(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Temporal.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Temporal.java new file mode 100644 index 000000000..d095e6df2 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Temporal.java @@ -0,0 +1,75 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/temporal.proto + +package com.google.cloud.automl.v1beta1; + +public final class Temporal { + private Temporal() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TimeSegment_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TimeSegment_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n*google/cloud/automl/v1beta1/temporal.p" + + "roto\022\033google.cloud.automl.v1beta1\032\036googl" + + "e/protobuf/duration.proto\032\034google/api/an" + + "notations.proto\"w\n\013TimeSegment\0224\n\021start_" + + "time_offset\030\001 \001(\0132\031.google.protobuf.Dura" + + "tion\0222\n\017end_time_offset\030\002 \001(\0132\031.google.p" + + "rotobuf.DurationB\245\001\n\037com.google.cloud.au" + + "toml.v1beta1P\001ZAgoogle.golang.org/genpro" + + "to/googleapis/cloud/automl/v1beta1;autom" + + "l\312\002\033Google\\Cloud\\AutoMl\\V1beta1\352\002\036Google" + + "::Cloud::AutoML::V1beta1b\006proto3" + }; + descriptor = + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.protobuf.DurationProto.getDescriptor(), + com.google.api.AnnotationsProto.getDescriptor(), + }); + internal_static_google_cloud_automl_v1beta1_TimeSegment_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_TimeSegment_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TimeSegment_descriptor, + new java.lang.String[] { + "StartTimeOffset", "EndTimeOffset", + }); + com.google.protobuf.DurationProto.getDescriptor(); + com.google.api.AnnotationsProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextClassificationDatasetMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextClassificationDatasetMetadata.java new file mode 100644 index 000000000..a17507f47 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextClassificationDatasetMetadata.java @@ -0,0 +1,628 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Dataset metadata for classification.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextClassificationDatasetMetadata} + */ +public final class TextClassificationDatasetMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TextClassificationDatasetMetadata) + TextClassificationDatasetMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use TextClassificationDatasetMetadata.newBuilder() to construct. + private TextClassificationDatasetMetadata( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TextClassificationDatasetMetadata() { + classificationType_ = 0; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new TextClassificationDatasetMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TextClassificationDatasetMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 8: + { + int rawValue = input.readEnum(); + + classificationType_ = rawValue; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextClassificationDatasetMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextClassificationDatasetMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.class, + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.Builder.class); + } + + public static final int CLASSIFICATION_TYPE_FIELD_NUMBER = 1; + private int classificationType_; + /** + * + * + * 
+   * Required. Type of the classification problem.
+   *
+ * + * .google.cloud.automl.v1beta1.ClassificationType classification_type = 1; + * + * @return The enum numeric value on the wire for classificationType. + */ + public int getClassificationTypeValue() { + return classificationType_; + } + /** + * + * + * 
+   * Required. Type of the classification problem.
+   *
+ * + * .google.cloud.automl.v1beta1.ClassificationType classification_type = 1; + * + * @return The classificationType. + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType + getClassificationType() { + @SuppressWarnings("deprecation") + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType result = + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType.valueOf( + classificationType_); + return result == null + ? com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType.UNRECOGNIZED + : result; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (classificationType_ + != com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType + .CLASSIFICATION_TYPE_UNSPECIFIED + .getNumber()) { + output.writeEnum(1, classificationType_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (classificationType_ + != com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType + .CLASSIFICATION_TYPE_UNSPECIFIED + .getNumber()) { + size += com.google.protobuf.CodedOutputStream.computeEnumSize(1, classificationType_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata other = + (com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata) obj; + + if (classificationType_ != other.classificationType_) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + CLASSIFICATION_TYPE_FIELD_NUMBER; + hash = (53 * hash) + classificationType_; + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata parseFrom( + byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Dataset metadata for classification.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextClassificationDatasetMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TextClassificationDatasetMetadata) + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextClassificationDatasetMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextClassificationDatasetMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.class, + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.Builder.class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + classificationType_ = 0; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextClassificationDatasetMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata build() { + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata buildPartial() { + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata result = + new com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata(this); + result.classificationType_ = classificationType_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata other) { + if (other + == com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.getDefaultInstance()) + return this; + if (other.classificationType_ != 0) { + setClassificationTypeValue(other.getClassificationTypeValue()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int classificationType_ = 0; + /** + * + * + * 
+     * Required. Type of the classification problem.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationType classification_type = 1; + * + * @return The enum numeric value on the wire for classificationType. + */ + public int getClassificationTypeValue() { + return classificationType_; + } + /** + * + * + * 
+     * Required. Type of the classification problem.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationType classification_type = 1; + * + * @param value The enum numeric value on the wire for classificationType to set. + * @return This builder for chaining. + */ + public Builder setClassificationTypeValue(int value) { + classificationType_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Type of the classification problem.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationType classification_type = 1; + * + * @return The classificationType. + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType + getClassificationType() { + @SuppressWarnings("deprecation") + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType result = + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType.valueOf( + classificationType_); + return result == null + ? com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType.UNRECOGNIZED + : result; + } + /** + * + * + * 
+     * Required. Type of the classification problem.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationType classification_type = 1; + * + * @param value The classificationType to set. + * @return This builder for chaining. + */ + public Builder setClassificationType( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType value) { + if (value == null) { + throw new NullPointerException(); + } + + classificationType_ = value.getNumber(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Type of the classification problem.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationType classification_type = 1; + * + * @return This builder for chaining. + */ + public Builder clearClassificationType() { + + classificationType_ = 0; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TextClassificationDatasetMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextClassificationDatasetMetadata) + private static final com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata(); + } + + public static com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TextClassificationDatasetMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TextClassificationDatasetMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextClassificationDatasetMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextClassificationDatasetMetadataOrBuilder.java new file mode 100644 index 000000000..e325c9c8d --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextClassificationDatasetMetadataOrBuilder.java @@ -0,0 +1,50 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text.proto + +package com.google.cloud.automl.v1beta1; + +public interface TextClassificationDatasetMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextClassificationDatasetMetadata) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. Type of the classification problem.
+   *
+ * + * .google.cloud.automl.v1beta1.ClassificationType classification_type = 1; + * + * @return The enum numeric value on the wire for classificationType. + */ + int getClassificationTypeValue(); + /** + * + * + * 
+   * Required. Type of the classification problem.
+   *
+ * + * .google.cloud.automl.v1beta1.ClassificationType classification_type = 1; + * + * @return The classificationType. + */ + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType getClassificationType(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextClassificationModelMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextClassificationModelMetadata.java new file mode 100644 index 000000000..dd137b2b6 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextClassificationModelMetadata.java @@ -0,0 +1,626 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Model metadata that is specific to text classification.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextClassificationModelMetadata} + */ +public final class TextClassificationModelMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TextClassificationModelMetadata) + TextClassificationModelMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use TextClassificationModelMetadata.newBuilder() to construct. + private TextClassificationModelMetadata( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TextClassificationModelMetadata() { + classificationType_ = 0; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new TextClassificationModelMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TextClassificationModelMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 24: + { + int rawValue = input.readEnum(); + + classificationType_ = rawValue; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextClassificationModelMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextClassificationModelMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.class, + com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.Builder.class); + } + + public static final int CLASSIFICATION_TYPE_FIELD_NUMBER = 3; + private int classificationType_; + /** + * + * + * 
+   * Output only. Classification type of the dataset used to train this model.
+   *
+ * + * .google.cloud.automl.v1beta1.ClassificationType classification_type = 3; + * + * @return The enum numeric value on the wire for classificationType. + */ + public int getClassificationTypeValue() { + return classificationType_; + } + /** + * + * + * 
+   * Output only. Classification type of the dataset used to train this model.
+   *
+ * + * .google.cloud.automl.v1beta1.ClassificationType classification_type = 3; + * + * @return The classificationType. + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType + getClassificationType() { + @SuppressWarnings("deprecation") + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType result = + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType.valueOf( + classificationType_); + return result == null + ? com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType.UNRECOGNIZED + : result; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (classificationType_ + != com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType + .CLASSIFICATION_TYPE_UNSPECIFIED + .getNumber()) { + output.writeEnum(3, classificationType_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (classificationType_ + != com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType + .CLASSIFICATION_TYPE_UNSPECIFIED + .getNumber()) { + size += com.google.protobuf.CodedOutputStream.computeEnumSize(3, classificationType_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TextClassificationModelMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TextClassificationModelMetadata other = + (com.google.cloud.automl.v1beta1.TextClassificationModelMetadata) obj; + + if (classificationType_ != other.classificationType_) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + CLASSIFICATION_TYPE_FIELD_NUMBER; + hash = (53 * hash) + classificationType_; + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TextClassificationModelMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextClassificationModelMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextClassificationModelMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextClassificationModelMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextClassificationModelMetadata parseFrom( + byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextClassificationModelMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextClassificationModelMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextClassificationModelMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextClassificationModelMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextClassificationModelMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextClassificationModelMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextClassificationModelMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TextClassificationModelMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Model metadata that is specific to text classification.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextClassificationModelMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TextClassificationModelMetadata) + com.google.cloud.automl.v1beta1.TextClassificationModelMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextClassificationModelMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextClassificationModelMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.class, + com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + classificationType_ = 0; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextClassificationModelMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextClassificationModelMetadata + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextClassificationModelMetadata build() { + com.google.cloud.automl.v1beta1.TextClassificationModelMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextClassificationModelMetadata buildPartial() { + com.google.cloud.automl.v1beta1.TextClassificationModelMetadata result = + new com.google.cloud.automl.v1beta1.TextClassificationModelMetadata(this); + result.classificationType_ = classificationType_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TextClassificationModelMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.TextClassificationModelMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.TextClassificationModelMetadata other) { + if (other + == com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.getDefaultInstance()) + return this; + if (other.classificationType_ != 0) { + setClassificationTypeValue(other.getClassificationTypeValue()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TextClassificationModelMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TextClassificationModelMetadata) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int classificationType_ = 0; + /** + * + * + * 
+     * Output only. Classification type of the dataset used to train this model.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationType classification_type = 3; + * + * @return The enum numeric value on the wire for classificationType. + */ + public int getClassificationTypeValue() { + return classificationType_; + } + /** + * + * + * 
+     * Output only. Classification type of the dataset used to train this model.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationType classification_type = 3; + * + * @param value The enum numeric value on the wire for classificationType to set. + * @return This builder for chaining. + */ + public Builder setClassificationTypeValue(int value) { + classificationType_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. Classification type of the dataset used to train this model.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationType classification_type = 3; + * + * @return The classificationType. + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType + getClassificationType() { + @SuppressWarnings("deprecation") + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType result = + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType.valueOf( + classificationType_); + return result == null + ? com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType.UNRECOGNIZED + : result; + } + /** + * + * + * 
+     * Output only. Classification type of the dataset used to train this model.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationType classification_type = 3; + * + * @param value The classificationType to set. + * @return This builder for chaining. + */ + public Builder setClassificationType( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType value) { + if (value == null) { + throw new NullPointerException(); + } + + classificationType_ = value.getNumber(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. Classification type of the dataset used to train this model.
+     *
+ * + * .google.cloud.automl.v1beta1.ClassificationType classification_type = 3; + * + * @return This builder for chaining. + */ + public Builder clearClassificationType() { + + classificationType_ = 0; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TextClassificationModelMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextClassificationModelMetadata) + private static final com.google.cloud.automl.v1beta1.TextClassificationModelMetadata + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TextClassificationModelMetadata(); + } + + public static com.google.cloud.automl.v1beta1.TextClassificationModelMetadata + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TextClassificationModelMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TextClassificationModelMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextClassificationModelMetadata + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextClassificationModelMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextClassificationModelMetadataOrBuilder.java new file mode 100644 index 000000000..ff15e530c --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextClassificationModelMetadataOrBuilder.java @@ -0,0 +1,50 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text.proto + +package com.google.cloud.automl.v1beta1; + +public interface TextClassificationModelMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextClassificationModelMetadata) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Output only. Classification type of the dataset used to train this model.
+   *
+ * + * .google.cloud.automl.v1beta1.ClassificationType classification_type = 3; + * + * @return The enum numeric value on the wire for classificationType. + */ + int getClassificationTypeValue(); + /** + * + * + * 
+   * Output only. Classification type of the dataset used to train this model.
+   *
+ * + * .google.cloud.automl.v1beta1.ClassificationType classification_type = 3; + * + * @return The classificationType. + */ + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationType getClassificationType(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtraction.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtraction.java new file mode 100644 index 000000000..9cc378d9e --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtraction.java @@ -0,0 +1,109 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text_extraction.proto + +package com.google.cloud.automl.v1beta1; + +public final class TextExtraction { + private TextExtraction() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TextExtractionAnnotation_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TextExtractionAnnotation_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n1google/cloud/automl/v1beta1/text_extra" + + "ction.proto\022\033google.cloud.automl.v1beta1" + + "\032.google/cloud/automl/v1beta1/text_segme" + + "nt.proto\032\034google/api/annotations.proto\"y" + + "\n\030TextExtractionAnnotation\022@\n\014text_segme" + + "nt\030\003 \001(\0132(.google.cloud.automl.v1beta1.T" + + "extSegmentH\000\022\r\n\005score\030\001 \001(\002B\014\n\nannotatio" + + "n\"\227\002\n\037TextExtractionEvaluationMetrics\022\016\n" + + "\006au_prc\030\001 \001(\002\022w\n\032confidence_metrics_entr" + + "ies\030\002 \003(\0132S.google.cloud.automl.v1beta1." + + "TextExtractionEvaluationMetrics.Confiden" + + "ceMetricsEntry\032k\n\026ConfidenceMetricsEntry" + + "\022\034\n\024confidence_threshold\030\001 \001(\002\022\016\n\006recall" + + "\030\003 \001(\002\022\021\n\tprecision\030\004 \001(\002\022\020\n\010f1_score\030\005 " + + "\001(\002B\245\001\n\037com.google.cloud.automl.v1beta1P" + + "\001ZAgoogle.golang.org/genproto/googleapis" + + "/cloud/automl/v1beta1;automl\312\002\033Google\\Cl" + + "oud\\AutoMl\\V1beta1\352\002\036Google::Cloud::Auto" + + "ML::V1beta1b\006proto3" + }; + descriptor = + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.cloud.automl.v1beta1.TextSegmentProto.getDescriptor(), + com.google.api.AnnotationsProto.getDescriptor(), + }); + internal_static_google_cloud_automl_v1beta1_TextExtractionAnnotation_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_TextExtractionAnnotation_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TextExtractionAnnotation_descriptor, + new java.lang.String[] { + "TextSegment", "Score", "Annotation", + }); + internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_descriptor = + getDescriptor().getMessageTypes().get(1); + internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_descriptor, + new java.lang.String[] { + "AuPrc", "ConfidenceMetricsEntries", + }); + internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry_descriptor = + internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_descriptor + .getNestedTypes() + .get(0); + internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry_descriptor, + new java.lang.String[] { + "ConfidenceThreshold", "Recall", "Precision", "F1Score", + }); + com.google.cloud.automl.v1beta1.TextSegmentProto.getDescriptor(); + com.google.api.AnnotationsProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionAnnotation.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionAnnotation.java new file mode 100644 index 000000000..da12b8251 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionAnnotation.java @@ -0,0 +1,936 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text_extraction.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Annotation for identifying spans of text.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextExtractionAnnotation} + */ +public final class TextExtractionAnnotation extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TextExtractionAnnotation) + TextExtractionAnnotationOrBuilder { + private static final long serialVersionUID = 0L; + // Use TextExtractionAnnotation.newBuilder() to construct. + private TextExtractionAnnotation(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TextExtractionAnnotation() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new TextExtractionAnnotation(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TextExtractionAnnotation( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 13: + { + score_ = input.readFloat(); + break; + } + case 26: + { + com.google.cloud.automl.v1beta1.TextSegment.Builder subBuilder = null; + if (annotationCase_ == 3) { + subBuilder = + ((com.google.cloud.automl.v1beta1.TextSegment) annotation_).toBuilder(); + } + annotation_ = + input.readMessage( + com.google.cloud.automl.v1beta1.TextSegment.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.TextSegment) annotation_); + annotation_ = subBuilder.buildPartial(); + } + annotationCase_ = 3; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionAnnotation_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionAnnotation_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextExtractionAnnotation.class, + com.google.cloud.automl.v1beta1.TextExtractionAnnotation.Builder.class); + } + + private int annotationCase_ = 0; + private java.lang.Object annotation_; + + public enum AnnotationCase + implements + com.google.protobuf.Internal.EnumLite, + com.google.protobuf.AbstractMessage.InternalOneOfEnum { + TEXT_SEGMENT(3), + ANNOTATION_NOT_SET(0); + private final int value; + + private AnnotationCase(int value) { + this.value = value; + } + /** + * @param value The number of the enum to look for. + * @return The enum associated with the given number. + * @deprecated Use {@link #forNumber(int)} instead. + */ + @java.lang.Deprecated + public static AnnotationCase valueOf(int value) { + return forNumber(value); + } + + public static AnnotationCase forNumber(int value) { + switch (value) { + case 3: + return TEXT_SEGMENT; + case 0: + return ANNOTATION_NOT_SET; + default: + return null; + } + } + + public int getNumber() { + return this.value; + } + }; + + public AnnotationCase getAnnotationCase() { + return AnnotationCase.forNumber(annotationCase_); + } + + public static final int TEXT_SEGMENT_FIELD_NUMBER = 3; + /** + * + * + * 
+   * An entity annotation will set this, which is the part of the original
+   * text to which the annotation pertains.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + * + * @return Whether the textSegment field is set. + */ + public boolean hasTextSegment() { + return annotationCase_ == 3; + } + /** + * + * + * 
+   * An entity annotation will set this, which is the part of the original
+   * text to which the annotation pertains.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + * + * @return The textSegment. + */ + public com.google.cloud.automl.v1beta1.TextSegment getTextSegment() { + if (annotationCase_ == 3) { + return (com.google.cloud.automl.v1beta1.TextSegment) annotation_; + } + return com.google.cloud.automl.v1beta1.TextSegment.getDefaultInstance(); + } + /** + * + * + * 
+   * An entity annotation will set this, which is the part of the original
+   * text to which the annotation pertains.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + */ + public com.google.cloud.automl.v1beta1.TextSegmentOrBuilder getTextSegmentOrBuilder() { + if (annotationCase_ == 3) { + return (com.google.cloud.automl.v1beta1.TextSegment) annotation_; + } + return com.google.cloud.automl.v1beta1.TextSegment.getDefaultInstance(); + } + + public static final int SCORE_FIELD_NUMBER = 1; + private float score_; + /** + * + * + * 
+   * Output only. A confidence estimate between 0.0 and 1.0. A higher value
+   * means greater confidence in correctness of the annotation.
+   *
+ * + * float score = 1; + * + * @return The score. + */ + public float getScore() { + return score_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (score_ != 0F) { + output.writeFloat(1, score_); + } + if (annotationCase_ == 3) { + output.writeMessage(3, (com.google.cloud.automl.v1beta1.TextSegment) annotation_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (score_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, score_); + } + if (annotationCase_ == 3) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 3, (com.google.cloud.automl.v1beta1.TextSegment) annotation_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TextExtractionAnnotation)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TextExtractionAnnotation other = + (com.google.cloud.automl.v1beta1.TextExtractionAnnotation) obj; + + if (java.lang.Float.floatToIntBits(getScore()) + != java.lang.Float.floatToIntBits(other.getScore())) return false; + if (!getAnnotationCase().equals(other.getAnnotationCase())) return false; + switch (annotationCase_) { + case 3: + if (!getTextSegment().equals(other.getTextSegment())) return false; + break; + case 0: + default: + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + SCORE_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getScore()); + switch (annotationCase_) { + case 3: + hash = (37 * hash) + TEXT_SEGMENT_FIELD_NUMBER; + hash = (53 * hash) + getTextSegment().hashCode(); + break; + case 0: + default: + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TextExtractionAnnotation parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionAnnotation parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionAnnotation parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionAnnotation parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionAnnotation parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionAnnotation parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionAnnotation parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionAnnotation parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionAnnotation parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionAnnotation parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionAnnotation parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionAnnotation parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TextExtractionAnnotation prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Annotation for identifying spans of text.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextExtractionAnnotation} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TextExtractionAnnotation) + com.google.cloud.automl.v1beta1.TextExtractionAnnotationOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionAnnotation_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionAnnotation_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextExtractionAnnotation.class, + com.google.cloud.automl.v1beta1.TextExtractionAnnotation.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TextExtractionAnnotation.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + score_ = 0F; + + annotationCase_ = 0; + annotation_ = null; + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionAnnotation_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionAnnotation getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TextExtractionAnnotation.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionAnnotation build() { + com.google.cloud.automl.v1beta1.TextExtractionAnnotation result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionAnnotation buildPartial() { + com.google.cloud.automl.v1beta1.TextExtractionAnnotation result = + new com.google.cloud.automl.v1beta1.TextExtractionAnnotation(this); + if (annotationCase_ == 3) { + if (textSegmentBuilder_ == null) { + result.annotation_ = annotation_; + } else { + result.annotation_ = textSegmentBuilder_.build(); + } + } + result.score_ = score_; + result.annotationCase_ = annotationCase_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TextExtractionAnnotation) { + return mergeFrom((com.google.cloud.automl.v1beta1.TextExtractionAnnotation) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TextExtractionAnnotation other) { + if (other == com.google.cloud.automl.v1beta1.TextExtractionAnnotation.getDefaultInstance()) + return this; + if (other.getScore() != 0F) { + setScore(other.getScore()); + } + switch (other.getAnnotationCase()) { + case TEXT_SEGMENT: + { + mergeTextSegment(other.getTextSegment()); + break; + } + case ANNOTATION_NOT_SET: + { + break; + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TextExtractionAnnotation parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TextExtractionAnnotation) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int annotationCase_ = 0; + private java.lang.Object annotation_; + + public AnnotationCase getAnnotationCase() { + return AnnotationCase.forNumber(annotationCase_); + } + + public Builder clearAnnotation() { + annotationCase_ = 0; + annotation_ = null; + onChanged(); + return this; + } + + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSegment, + com.google.cloud.automl.v1beta1.TextSegment.Builder, + com.google.cloud.automl.v1beta1.TextSegmentOrBuilder> + textSegmentBuilder_; + /** + * + * + * 
+     * An entity annotation will set this, which is the part of the original
+     * text to which the annotation pertains.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + * + * @return Whether the textSegment field is set. + */ + public boolean hasTextSegment() { + return annotationCase_ == 3; + } + /** + * + * + * 
+     * An entity annotation will set this, which is the part of the original
+     * text to which the annotation pertains.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + * + * @return The textSegment. + */ + public com.google.cloud.automl.v1beta1.TextSegment getTextSegment() { + if (textSegmentBuilder_ == null) { + if (annotationCase_ == 3) { + return (com.google.cloud.automl.v1beta1.TextSegment) annotation_; + } + return com.google.cloud.automl.v1beta1.TextSegment.getDefaultInstance(); + } else { + if (annotationCase_ == 3) { + return textSegmentBuilder_.getMessage(); + } + return com.google.cloud.automl.v1beta1.TextSegment.getDefaultInstance(); + } + } + /** + * + * + * 
+     * An entity annotation will set this, which is the part of the original
+     * text to which the annotation pertains.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + */ + public Builder setTextSegment(com.google.cloud.automl.v1beta1.TextSegment value) { + if (textSegmentBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + annotation_ = value; + onChanged(); + } else { + textSegmentBuilder_.setMessage(value); + } + annotationCase_ = 3; + return this; + } + /** + * + * + * 
+     * An entity annotation will set this, which is the part of the original
+     * text to which the annotation pertains.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + */ + public Builder setTextSegment( + com.google.cloud.automl.v1beta1.TextSegment.Builder builderForValue) { + if (textSegmentBuilder_ == null) { + annotation_ = builderForValue.build(); + onChanged(); + } else { + textSegmentBuilder_.setMessage(builderForValue.build()); + } + annotationCase_ = 3; + return this; + } + /** + * + * + * 
+     * An entity annotation will set this, which is the part of the original
+     * text to which the annotation pertains.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + */ + public Builder mergeTextSegment(com.google.cloud.automl.v1beta1.TextSegment value) { + if (textSegmentBuilder_ == null) { + if (annotationCase_ == 3 + && annotation_ != com.google.cloud.automl.v1beta1.TextSegment.getDefaultInstance()) { + annotation_ = + com.google.cloud.automl.v1beta1.TextSegment.newBuilder( + (com.google.cloud.automl.v1beta1.TextSegment) annotation_) + .mergeFrom(value) + .buildPartial(); + } else { + annotation_ = value; + } + onChanged(); + } else { + if (annotationCase_ == 3) { + textSegmentBuilder_.mergeFrom(value); + } + textSegmentBuilder_.setMessage(value); + } + annotationCase_ = 3; + return this; + } + /** + * + * + * 
+     * An entity annotation will set this, which is the part of the original
+     * text to which the annotation pertains.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + */ + public Builder clearTextSegment() { + if (textSegmentBuilder_ == null) { + if (annotationCase_ == 3) { + annotationCase_ = 0; + annotation_ = null; + onChanged(); + } + } else { + if (annotationCase_ == 3) { + annotationCase_ = 0; + annotation_ = null; + } + textSegmentBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * An entity annotation will set this, which is the part of the original
+     * text to which the annotation pertains.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + */ + public com.google.cloud.automl.v1beta1.TextSegment.Builder getTextSegmentBuilder() { + return getTextSegmentFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * An entity annotation will set this, which is the part of the original
+     * text to which the annotation pertains.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + */ + public com.google.cloud.automl.v1beta1.TextSegmentOrBuilder getTextSegmentOrBuilder() { + if ((annotationCase_ == 3) && (textSegmentBuilder_ != null)) { + return textSegmentBuilder_.getMessageOrBuilder(); + } else { + if (annotationCase_ == 3) { + return (com.google.cloud.automl.v1beta1.TextSegment) annotation_; + } + return com.google.cloud.automl.v1beta1.TextSegment.getDefaultInstance(); + } + } + /** + * + * + * 
+     * An entity annotation will set this, which is the part of the original
+     * text to which the annotation pertains.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSegment, + com.google.cloud.automl.v1beta1.TextSegment.Builder, + com.google.cloud.automl.v1beta1.TextSegmentOrBuilder> + getTextSegmentFieldBuilder() { + if (textSegmentBuilder_ == null) { + if (!(annotationCase_ == 3)) { + annotation_ = com.google.cloud.automl.v1beta1.TextSegment.getDefaultInstance(); + } + textSegmentBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSegment, + com.google.cloud.automl.v1beta1.TextSegment.Builder, + com.google.cloud.automl.v1beta1.TextSegmentOrBuilder>( + (com.google.cloud.automl.v1beta1.TextSegment) annotation_, + getParentForChildren(), + isClean()); + annotation_ = null; + } + annotationCase_ = 3; + onChanged(); + ; + return textSegmentBuilder_; + } + + private float score_; + /** + * + * + * 
+     * Output only. A confidence estimate between 0.0 and 1.0. A higher value
+     * means greater confidence in correctness of the annotation.
+     *
+ * + * float score = 1; + * + * @return The score. + */ + public float getScore() { + return score_; + } + /** + * + * + * 
+     * Output only. A confidence estimate between 0.0 and 1.0. A higher value
+     * means greater confidence in correctness of the annotation.
+     *
+ * + * float score = 1; + * + * @param value The score to set. + * @return This builder for chaining. + */ + public Builder setScore(float value) { + + score_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. A confidence estimate between 0.0 and 1.0. A higher value
+     * means greater confidence in correctness of the annotation.
+     *
+ * + * float score = 1; + * + * @return This builder for chaining. + */ + public Builder clearScore() { + + score_ = 0F; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TextExtractionAnnotation) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextExtractionAnnotation) + private static final com.google.cloud.automl.v1beta1.TextExtractionAnnotation DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TextExtractionAnnotation(); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionAnnotation getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TextExtractionAnnotation parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TextExtractionAnnotation(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionAnnotation getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionAnnotationOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionAnnotationOrBuilder.java new file mode 100644 index 000000000..53f020bca --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionAnnotationOrBuilder.java @@ -0,0 +1,80 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text_extraction.proto + +package com.google.cloud.automl.v1beta1; + +public interface TextExtractionAnnotationOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextExtractionAnnotation) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * An entity annotation will set this, which is the part of the original
+   * text to which the annotation pertains.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + * + * @return Whether the textSegment field is set. + */ + boolean hasTextSegment(); + /** + * + * + * 
+   * An entity annotation will set this, which is the part of the original
+   * text to which the annotation pertains.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + * + * @return The textSegment. + */ + com.google.cloud.automl.v1beta1.TextSegment getTextSegment(); + /** + * + * + * 
+   * An entity annotation will set this, which is the part of the original
+   * text to which the annotation pertains.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + */ + com.google.cloud.automl.v1beta1.TextSegmentOrBuilder getTextSegmentOrBuilder(); + + /** + * + * + * 
+   * Output only. A confidence estimate between 0.0 and 1.0. A higher value
+   * means greater confidence in correctness of the annotation.
+   *
+ * + * float score = 1; + * + * @return The score. + */ + float getScore(); + + public com.google.cloud.automl.v1beta1.TextExtractionAnnotation.AnnotationCase + getAnnotationCase(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionDatasetMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionDatasetMetadata.java new file mode 100644 index 000000000..129646dc2 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionDatasetMetadata.java @@ -0,0 +1,461 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Dataset metadata that is specific to text extraction
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextExtractionDatasetMetadata} + */ +public final class TextExtractionDatasetMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) + TextExtractionDatasetMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use TextExtractionDatasetMetadata.newBuilder() to construct. + private TextExtractionDatasetMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TextExtractionDatasetMetadata() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new TextExtractionDatasetMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TextExtractionDatasetMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextExtractionDatasetMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextExtractionDatasetMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.class, + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.Builder.class); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata other = + (com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) obj; + + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Dataset metadata that is specific to text extraction
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextExtractionDatasetMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextExtractionDatasetMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextExtractionDatasetMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.class, + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextExtractionDatasetMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata build() { + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata buildPartial() { + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata result = + new com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata(this); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata other) { + if (other + == com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.getDefaultInstance()) + return this; + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) + private static final com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata(); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TextExtractionDatasetMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TextExtractionDatasetMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionDatasetMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionDatasetMetadataOrBuilder.java new file mode 100644 index 000000000..602cb5b6a --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionDatasetMetadataOrBuilder.java @@ -0,0 +1,24 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text.proto + +package com.google.cloud.automl.v1beta1; + +public interface TextExtractionDatasetMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) + com.google.protobuf.MessageOrBuilder {} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionEvaluationMetrics.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionEvaluationMetrics.java new file mode 100644 index 000000000..397a3860c --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionEvaluationMetrics.java @@ -0,0 +1,2109 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text_extraction.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Model evaluation metrics for text extraction problems.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics} + */ +public final class TextExtractionEvaluationMetrics extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) + TextExtractionEvaluationMetricsOrBuilder { + private static final long serialVersionUID = 0L; + // Use TextExtractionEvaluationMetrics.newBuilder() to construct. + private TextExtractionEvaluationMetrics( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TextExtractionEvaluationMetrics() { + confidenceMetricsEntries_ = java.util.Collections.emptyList(); + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new TextExtractionEvaluationMetrics(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TextExtractionEvaluationMetrics( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 13: + { + auPrc_ = input.readFloat(); + break; + } + case 18: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + confidenceMetricsEntries_ = + new java.util.ArrayList< + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry>(); + mutable_bitField0_ |= 0x00000001; + } + confidenceMetricsEntries_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry.parser(), + extensionRegistry)); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + confidenceMetricsEntries_ = + java.util.Collections.unmodifiableList(confidenceMetricsEntries_); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.class, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.Builder.class); + } + + public interface ConfidenceMetricsEntryOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+     * Output only. The confidence threshold value used to compute the metrics.
+     * Only annotations with score of at least this threshold are considered to
+     * be ones the model would return.
+     *
+ * + * float confidence_threshold = 1; + * + * @return The confidenceThreshold. + */ + float getConfidenceThreshold(); + + /** + * + * + * 
+     * Output only. Recall under the given confidence threshold.
+     *
+ * + * float recall = 3; + * + * @return The recall. + */ + float getRecall(); + + /** + * + * + * 
+     * Output only. Precision under the given confidence threshold.
+     *
+ * + * float precision = 4; + * + * @return The precision. + */ + float getPrecision(); + + /** + * + * + * 
+     * Output only. The harmonic mean of recall and precision.
+     *
+ * + * float f1_score = 5; + * + * @return The f1Score. + */ + float getF1Score(); + } + /** + * + * + * 
+   * Metrics for a single confidence threshold.
+   *
+ * + * Protobuf type {@code + * google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry} + */ + public static final class ConfidenceMetricsEntry extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry) + ConfidenceMetricsEntryOrBuilder { + private static final long serialVersionUID = 0L; + // Use ConfidenceMetricsEntry.newBuilder() to construct. + private ConfidenceMetricsEntry(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ConfidenceMetricsEntry() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new ConfidenceMetricsEntry(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ConfidenceMetricsEntry( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 13: + { + confidenceThreshold_ = input.readFloat(); + break; + } + case 29: + { + recall_ = input.readFloat(); + break; + } + case 37: + { + precision_ = input.readFloat(); + break; + } + case 45: + { + f1Score_ = input.readFloat(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + .class, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + .Builder.class); + } + + public static final int CONFIDENCE_THRESHOLD_FIELD_NUMBER = 1; + private float confidenceThreshold_; + /** + * + * + * 
+     * Output only. The confidence threshold value used to compute the metrics.
+     * Only annotations with score of at least this threshold are considered to
+     * be ones the model would return.
+     *
+ * + * float confidence_threshold = 1; + * + * @return The confidenceThreshold. + */ + public float getConfidenceThreshold() { + return confidenceThreshold_; + } + + public static final int RECALL_FIELD_NUMBER = 3; + private float recall_; + /** + * + * + * 
+     * Output only. Recall under the given confidence threshold.
+     *
+ * + * float recall = 3; + * + * @return The recall. + */ + public float getRecall() { + return recall_; + } + + public static final int PRECISION_FIELD_NUMBER = 4; + private float precision_; + /** + * + * + * 
+     * Output only. Precision under the given confidence threshold.
+     *
+ * + * float precision = 4; + * + * @return The precision. + */ + public float getPrecision() { + return precision_; + } + + public static final int F1_SCORE_FIELD_NUMBER = 5; + private float f1Score_; + /** + * + * + * 
+     * Output only. The harmonic mean of recall and precision.
+     *
+ * + * float f1_score = 5; + * + * @return The f1Score. + */ + public float getF1Score() { + return f1Score_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (confidenceThreshold_ != 0F) { + output.writeFloat(1, confidenceThreshold_); + } + if (recall_ != 0F) { + output.writeFloat(3, recall_); + } + if (precision_ != 0F) { + output.writeFloat(4, precision_); + } + if (f1Score_ != 0F) { + output.writeFloat(5, f1Score_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (confidenceThreshold_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, confidenceThreshold_); + } + if (recall_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(3, recall_); + } + if (precision_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(4, precision_); + } + if (f1Score_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(5, f1Score_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj + instanceof + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry other = + (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry) + obj; + + if (java.lang.Float.floatToIntBits(getConfidenceThreshold()) + != java.lang.Float.floatToIntBits(other.getConfidenceThreshold())) return false; + if (java.lang.Float.floatToIntBits(getRecall()) + != java.lang.Float.floatToIntBits(other.getRecall())) return false; + if (java.lang.Float.floatToIntBits(getPrecision()) + != java.lang.Float.floatToIntBits(other.getPrecision())) return false; + if (java.lang.Float.floatToIntBits(getF1Score()) + != java.lang.Float.floatToIntBits(other.getF1Score())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + CONFIDENCE_THRESHOLD_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getConfidenceThreshold()); + hash = (37 * hash) + RECALL_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getRecall()); + hash = (37 * hash) + PRECISION_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getPrecision()); + hash = (37 * hash) + F1_SCORE_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getF1Score()); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + parseFrom(com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + parseFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType( + com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+     * Metrics for a single confidence threshold.
+     *
+ * + * Protobuf type {@code + * google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry} + */ + public static final class Builder + extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry) + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntryOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry.class, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry.Builder.class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + confidenceThreshold_ = 0F; + + recall_ = 0F; + + precision_ = 0F; + + f1Score_ = 0F; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + build() { + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + buildPartial() { + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + result = + new com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry(this); + result.confidenceThreshold_ = confidenceThreshold_; + result.recall_ = recall_; + result.precision_ = precision_; + result.f1Score_ = f1Score_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, + int index, + java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other + instanceof + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry) + other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + other) { + if (other + == com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry.getDefaultInstance()) return this; + if (other.getConfidenceThreshold() != 0F) { + setConfidenceThreshold(other.getConfidenceThreshold()); + } + if (other.getRecall() != 0F) { + setRecall(other.getRecall()); + } + if (other.getPrecision() != 0F) { + setPrecision(other.getPrecision()); + } + if (other.getF1Score() != 0F) { + setF1Score(other.getF1Score()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private float confidenceThreshold_; + /** + * + * + * 
+       * Output only. The confidence threshold value used to compute the metrics.
+       * Only annotations with score of at least this threshold are considered to
+       * be ones the model would return.
+       *
+ * + * float confidence_threshold = 1; + * + * @return The confidenceThreshold. + */ + public float getConfidenceThreshold() { + return confidenceThreshold_; + } + /** + * + * + * 
+       * Output only. The confidence threshold value used to compute the metrics.
+       * Only annotations with score of at least this threshold are considered to
+       * be ones the model would return.
+       *
+ * + * float confidence_threshold = 1; + * + * @param value The confidenceThreshold to set. + * @return This builder for chaining. + */ + public Builder setConfidenceThreshold(float value) { + + confidenceThreshold_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. The confidence threshold value used to compute the metrics.
+       * Only annotations with score of at least this threshold are considered to
+       * be ones the model would return.
+       *
+ * + * float confidence_threshold = 1; + * + * @return This builder for chaining. + */ + public Builder clearConfidenceThreshold() { + + confidenceThreshold_ = 0F; + onChanged(); + return this; + } + + private float recall_; + /** + * + * + * 
+       * Output only. Recall under the given confidence threshold.
+       *
+ * + * float recall = 3; + * + * @return The recall. + */ + public float getRecall() { + return recall_; + } + /** + * + * + * 
+       * Output only. Recall under the given confidence threshold.
+       *
+ * + * float recall = 3; + * + * @param value The recall to set. + * @return This builder for chaining. + */ + public Builder setRecall(float value) { + + recall_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. Recall under the given confidence threshold.
+       *
+ * + * float recall = 3; + * + * @return This builder for chaining. + */ + public Builder clearRecall() { + + recall_ = 0F; + onChanged(); + return this; + } + + private float precision_; + /** + * + * + * 
+       * Output only. Precision under the given confidence threshold.
+       *
+ * + * float precision = 4; + * + * @return The precision. + */ + public float getPrecision() { + return precision_; + } + /** + * + * + * 
+       * Output only. Precision under the given confidence threshold.
+       *
+ * + * float precision = 4; + * + * @param value The precision to set. + * @return This builder for chaining. + */ + public Builder setPrecision(float value) { + + precision_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. Precision under the given confidence threshold.
+       *
+ * + * float precision = 4; + * + * @return This builder for chaining. + */ + public Builder clearPrecision() { + + precision_ = 0F; + onChanged(); + return this; + } + + private float f1Score_; + /** + * + * + * 
+       * Output only. The harmonic mean of recall and precision.
+       *
+ * + * float f1_score = 5; + * + * @return The f1Score. + */ + public float getF1Score() { + return f1Score_; + } + /** + * + * + * 
+       * Output only. The harmonic mean of recall and precision.
+       *
+ * + * float f1_score = 5; + * + * @param value The f1Score to set. + * @return This builder for chaining. + */ + public Builder setF1Score(float value) { + + f1Score_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. The harmonic mean of recall and precision.
+       *
+ * + * float f1_score = 5; + * + * @return This builder for chaining. + */ + public Builder clearF1Score() { + + f1Score_ = 0F; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry) + private static final com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = + new com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry(); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ConfidenceMetricsEntry parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ConfidenceMetricsEntry(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } + } + + public static final int AU_PRC_FIELD_NUMBER = 1; + private float auPrc_; + /** + * + * + * 
+   * Output only. The Area under precision recall curve metric.
+   *
+ * + * float au_prc = 1; + * + * @return The auPrc. + */ + public float getAuPrc() { + return auPrc_; + } + + public static final int CONFIDENCE_METRICS_ENTRIES_FIELD_NUMBER = 2; + private java.util.List< + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry> + confidenceMetricsEntries_; + /** + * + * + * 
+   * Output only. Metrics that have confidence thresholds.
+   * Precision-recall curve can be derived from it.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public java.util.List< + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry> + getConfidenceMetricsEntriesList() { + return confidenceMetricsEntries_; + } + /** + * + * + * 
+   * Output only. Metrics that have confidence thresholds.
+   * Precision-recall curve can be derived from it.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public java.util.List< + ? extends + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntryOrBuilder> + getConfidenceMetricsEntriesOrBuilderList() { + return confidenceMetricsEntries_; + } + /** + * + * + * 
+   * Output only. Metrics that have confidence thresholds.
+   * Precision-recall curve can be derived from it.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public int getConfidenceMetricsEntriesCount() { + return confidenceMetricsEntries_.size(); + } + /** + * + * + * 
+   * Output only. Metrics that have confidence thresholds.
+   * Precision-recall curve can be derived from it.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + getConfidenceMetricsEntries(int index) { + return confidenceMetricsEntries_.get(index); + } + /** + * + * + * 
+   * Output only. Metrics that have confidence thresholds.
+   * Precision-recall curve can be derived from it.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntryOrBuilder + getConfidenceMetricsEntriesOrBuilder(int index) { + return confidenceMetricsEntries_.get(index); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (auPrc_ != 0F) { + output.writeFloat(1, auPrc_); + } + for (int i = 0; i < confidenceMetricsEntries_.size(); i++) { + output.writeMessage(2, confidenceMetricsEntries_.get(i)); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (auPrc_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, auPrc_); + } + for (int i = 0; i < confidenceMetricsEntries_.size(); i++) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 2, confidenceMetricsEntries_.get(i)); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics other = + (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) obj; + + if (java.lang.Float.floatToIntBits(getAuPrc()) + != java.lang.Float.floatToIntBits(other.getAuPrc())) return false; + if (!getConfidenceMetricsEntriesList().equals(other.getConfidenceMetricsEntriesList())) + return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + AU_PRC_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getAuPrc()); + if (getConfidenceMetricsEntriesCount() > 0) { + hash = (37 * hash) + CONFIDENCE_METRICS_ENTRIES_FIELD_NUMBER; + hash = (53 * hash) + getConfidenceMetricsEntriesList().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom( + byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Model evaluation metrics for text extraction problems.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetricsOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.class, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getConfidenceMetricsEntriesFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + auPrc_ = 0F; + + if (confidenceMetricsEntriesBuilder_ == null) { + confidenceMetricsEntries_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + } else { + confidenceMetricsEntriesBuilder_.clear(); + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics build() { + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics buildPartial() { + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics result = + new com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics(this); + int from_bitField0_ = bitField0_; + result.auPrc_ = auPrc_; + if (confidenceMetricsEntriesBuilder_ == null) { + if (((bitField0_ & 0x00000001) != 0)) { + confidenceMetricsEntries_ = + java.util.Collections.unmodifiableList(confidenceMetricsEntries_); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.confidenceMetricsEntries_ = confidenceMetricsEntries_; + } else { + result.confidenceMetricsEntries_ = confidenceMetricsEntriesBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) { + return mergeFrom((com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics other) { + if (other + == com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.getDefaultInstance()) + return this; + if (other.getAuPrc() != 0F) { + setAuPrc(other.getAuPrc()); + } + if (confidenceMetricsEntriesBuilder_ == null) { + if (!other.confidenceMetricsEntries_.isEmpty()) { + if (confidenceMetricsEntries_.isEmpty()) { + confidenceMetricsEntries_ = other.confidenceMetricsEntries_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensureConfidenceMetricsEntriesIsMutable(); + confidenceMetricsEntries_.addAll(other.confidenceMetricsEntries_); + } + onChanged(); + } + } else { + if (!other.confidenceMetricsEntries_.isEmpty()) { + if (confidenceMetricsEntriesBuilder_.isEmpty()) { + confidenceMetricsEntriesBuilder_.dispose(); + confidenceMetricsEntriesBuilder_ = null; + confidenceMetricsEntries_ = other.confidenceMetricsEntries_; + bitField0_ = (bitField0_ & ~0x00000001); + confidenceMetricsEntriesBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getConfidenceMetricsEntriesFieldBuilder() + : null; + } else { + confidenceMetricsEntriesBuilder_.addAllMessages(other.confidenceMetricsEntries_); + } + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private float auPrc_; + /** + * + * + * 
+     * Output only. The Area under precision recall curve metric.
+     *
+ * + * float au_prc = 1; + * + * @return The auPrc. + */ + public float getAuPrc() { + return auPrc_; + } + /** + * + * + * 
+     * Output only. The Area under precision recall curve metric.
+     *
+ * + * float au_prc = 1; + * + * @param value The auPrc to set. + * @return This builder for chaining. + */ + public Builder setAuPrc(float value) { + + auPrc_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The Area under precision recall curve metric.
+     *
+ * + * float au_prc = 1; + * + * @return This builder for chaining. + */ + public Builder clearAuPrc() { + + auPrc_ = 0F; + onChanged(); + return this; + } + + private java.util.List< + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry> + confidenceMetricsEntries_ = java.util.Collections.emptyList(); + + private void ensureConfidenceMetricsEntriesIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + confidenceMetricsEntries_ = + new java.util.ArrayList< + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry>(confidenceMetricsEntries_); + bitField0_ |= 0x00000001; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + .Builder, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntryOrBuilder> + confidenceMetricsEntriesBuilder_; + + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public java.util.List< + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry> + getConfidenceMetricsEntriesList() { + if (confidenceMetricsEntriesBuilder_ == null) { + return java.util.Collections.unmodifiableList(confidenceMetricsEntries_); + } else { + return confidenceMetricsEntriesBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public int getConfidenceMetricsEntriesCount() { + if (confidenceMetricsEntriesBuilder_ == null) { + return confidenceMetricsEntries_.size(); + } else { + return confidenceMetricsEntriesBuilder_.getCount(); + } + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + getConfidenceMetricsEntries(int index) { + if (confidenceMetricsEntriesBuilder_ == null) { + return confidenceMetricsEntries_.get(index); + } else { + return confidenceMetricsEntriesBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public Builder setConfidenceMetricsEntries( + int index, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + value) { + if (confidenceMetricsEntriesBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureConfidenceMetricsEntriesIsMutable(); + confidenceMetricsEntries_.set(index, value); + onChanged(); + } else { + confidenceMetricsEntriesBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public Builder setConfidenceMetricsEntries( + int index, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + .Builder + builderForValue) { + if (confidenceMetricsEntriesBuilder_ == null) { + ensureConfidenceMetricsEntriesIsMutable(); + confidenceMetricsEntries_.set(index, builderForValue.build()); + onChanged(); + } else { + confidenceMetricsEntriesBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public Builder addConfidenceMetricsEntries( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + value) { + if (confidenceMetricsEntriesBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureConfidenceMetricsEntriesIsMutable(); + confidenceMetricsEntries_.add(value); + onChanged(); + } else { + confidenceMetricsEntriesBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public Builder addConfidenceMetricsEntries( + int index, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + value) { + if (confidenceMetricsEntriesBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureConfidenceMetricsEntriesIsMutable(); + confidenceMetricsEntries_.add(index, value); + onChanged(); + } else { + confidenceMetricsEntriesBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public Builder addConfidenceMetricsEntries( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + .Builder + builderForValue) { + if (confidenceMetricsEntriesBuilder_ == null) { + ensureConfidenceMetricsEntriesIsMutable(); + confidenceMetricsEntries_.add(builderForValue.build()); + onChanged(); + } else { + confidenceMetricsEntriesBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public Builder addConfidenceMetricsEntries( + int index, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + .Builder + builderForValue) { + if (confidenceMetricsEntriesBuilder_ == null) { + ensureConfidenceMetricsEntriesIsMutable(); + confidenceMetricsEntries_.add(index, builderForValue.build()); + onChanged(); + } else { + confidenceMetricsEntriesBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public Builder addAllConfidenceMetricsEntries( + java.lang.Iterable< + ? extends + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry> + values) { + if (confidenceMetricsEntriesBuilder_ == null) { + ensureConfidenceMetricsEntriesIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, confidenceMetricsEntries_); + onChanged(); + } else { + confidenceMetricsEntriesBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public Builder clearConfidenceMetricsEntries() { + if (confidenceMetricsEntriesBuilder_ == null) { + confidenceMetricsEntries_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + } else { + confidenceMetricsEntriesBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public Builder removeConfidenceMetricsEntries(int index) { + if (confidenceMetricsEntriesBuilder_ == null) { + ensureConfidenceMetricsEntriesIsMutable(); + confidenceMetricsEntries_.remove(index); + onChanged(); + } else { + confidenceMetricsEntriesBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + .Builder + getConfidenceMetricsEntriesBuilder(int index) { + return getConfidenceMetricsEntriesFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntryOrBuilder + getConfidenceMetricsEntriesOrBuilder(int index) { + if (confidenceMetricsEntriesBuilder_ == null) { + return confidenceMetricsEntries_.get(index); + } else { + return confidenceMetricsEntriesBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public java.util.List< + ? extends + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntryOrBuilder> + getConfidenceMetricsEntriesOrBuilderList() { + if (confidenceMetricsEntriesBuilder_ != null) { + return confidenceMetricsEntriesBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(confidenceMetricsEntries_); + } + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + .Builder + addConfidenceMetricsEntriesBuilder() { + return getConfidenceMetricsEntriesFieldBuilder() + .addBuilder( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + .getDefaultInstance()); + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + .Builder + addConfidenceMetricsEntriesBuilder(int index) { + return getConfidenceMetricsEntriesFieldBuilder() + .addBuilder( + index, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + .getDefaultInstance()); + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public java.util.List< + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + .Builder> + getConfidenceMetricsEntriesBuilderList() { + return getConfidenceMetricsEntriesFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + .Builder, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntryOrBuilder> + getConfidenceMetricsEntriesFieldBuilder() { + if (confidenceMetricsEntriesBuilder_ == null) { + confidenceMetricsEntriesBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry.Builder, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntryOrBuilder>( + confidenceMetricsEntries_, + ((bitField0_ & 0x00000001) != 0), + getParentForChildren(), + isClean()); + confidenceMetricsEntries_ = null; + } + return confidenceMetricsEntriesBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) + private static final com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics(); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TextExtractionEvaluationMetrics parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TextExtractionEvaluationMetrics(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionEvaluationMetricsOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionEvaluationMetricsOrBuilder.java new file mode 100644 index 000000000..6bba49fec --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionEvaluationMetricsOrBuilder.java @@ -0,0 +1,112 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text_extraction.proto + +package com.google.cloud.automl.v1beta1; + +public interface TextExtractionEvaluationMetricsOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Output only. The Area under precision recall curve metric.
+   *
+ * + * float au_prc = 1; + * + * @return The auPrc. + */ + float getAuPrc(); + + /** + * + * + * 
+   * Output only. Metrics that have confidence thresholds.
+   * Precision-recall curve can be derived from it.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + java.util.List< + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry> + getConfidenceMetricsEntriesList(); + /** + * + * + * 
+   * Output only. Metrics that have confidence thresholds.
+   * Precision-recall curve can be derived from it.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + getConfidenceMetricsEntries(int index); + /** + * + * + * 
+   * Output only. Metrics that have confidence thresholds.
+   * Precision-recall curve can be derived from it.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + int getConfidenceMetricsEntriesCount(); + /** + * + * + * 
+   * Output only. Metrics that have confidence thresholds.
+   * Precision-recall curve can be derived from it.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + java.util.List< + ? extends + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntryOrBuilder> + getConfidenceMetricsEntriesOrBuilderList(); + /** + * + * + * 
+   * Output only. Metrics that have confidence thresholds.
+   * Precision-recall curve can be derived from it.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntryOrBuilder + getConfidenceMetricsEntriesOrBuilder(int index); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionModelMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionModelMetadata.java new file mode 100644 index 000000000..6cafee9e8 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionModelMetadata.java @@ -0,0 +1,457 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Model metadata that is specific to text extraction.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextExtractionModelMetadata} + */ +public final class TextExtractionModelMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TextExtractionModelMetadata) + TextExtractionModelMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use TextExtractionModelMetadata.newBuilder() to construct. + private TextExtractionModelMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TextExtractionModelMetadata() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new TextExtractionModelMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TextExtractionModelMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextExtractionModelMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextExtractionModelMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.class, + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.Builder.class); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TextExtractionModelMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata other = + (com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) obj; + + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TextExtractionModelMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionModelMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionModelMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionModelMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionModelMetadata parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionModelMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionModelMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionModelMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionModelMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionModelMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionModelMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionModelMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Model metadata that is specific to text extraction.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextExtractionModelMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TextExtractionModelMetadata) + com.google.cloud.automl.v1beta1.TextExtractionModelMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextExtractionModelMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextExtractionModelMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.class, + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextExtractionModelMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionModelMetadata getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionModelMetadata build() { + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionModelMetadata buildPartial() { + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata result = + new com.google.cloud.automl.v1beta1.TextExtractionModelMetadata(this); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TextExtractionModelMetadata other) { + if (other == com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.getDefaultInstance()) + return this; + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TextExtractionModelMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextExtractionModelMetadata) + private static final com.google.cloud.automl.v1beta1.TextExtractionModelMetadata DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TextExtractionModelMetadata(); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionModelMetadata getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TextExtractionModelMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TextExtractionModelMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionModelMetadata getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionModelMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionModelMetadataOrBuilder.java new file mode 100644 index 000000000..a1e158341 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionModelMetadataOrBuilder.java @@ -0,0 +1,24 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text.proto + +package com.google.cloud.automl.v1beta1; + +public interface TextExtractionModelMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextExtractionModelMetadata) + com.google.protobuf.MessageOrBuilder {} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextProto.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextProto.java new file mode 100644 index 000000000..bee55a1c9 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextProto.java @@ -0,0 +1,136 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text.proto + +package com.google.cloud.automl.v1beta1; + +public final class TextProto { + private TextProto() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TextClassificationDatasetMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TextClassificationDatasetMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TextClassificationModelMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TextClassificationModelMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TextExtractionDatasetMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TextExtractionDatasetMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TextExtractionModelMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TextExtractionModelMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TextSentimentDatasetMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TextSentimentDatasetMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TextSentimentModelMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TextSentimentModelMetadata_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n&google/cloud/automl/v1beta1/text.proto" + + "\022\033google.cloud.automl.v1beta1\0320google/cl" + + "oud/automl/v1beta1/classification.proto\032" + + "\034google/api/annotations.proto\"q\n!TextCla" + + "ssificationDatasetMetadata\022L\n\023classifica" + + "tion_type\030\001 \001(\0162/.google.cloud.automl.v1" + + "beta1.ClassificationType\"o\n\037TextClassifi" + + "cationModelMetadata\022L\n\023classification_ty" + + "pe\030\003 \001(\0162/.google.cloud.automl.v1beta1.C" + + "lassificationType\"\037\n\035TextExtractionDatas" + + "etMetadata\"\035\n\033TextExtractionModelMetadat" + + "a\"5\n\034TextSentimentDatasetMetadata\022\025\n\rsen" + + "timent_max\030\001 \001(\005\"\034\n\032TextSentimentModelMe" + + "tadataB\260\001\n\037com.google.cloud.automl.v1bet" + + "a1B\tTextProtoP\001ZAgoogle.golang.org/genpr" + + "oto/googleapis/cloud/automl/v1beta1;auto" + + "ml\312\002\033Google\\Cloud\\AutoMl\\V1beta1\352\002\036Googl" + + "e::Cloud::AutoML::V1beta1b\006proto3" + }; + descriptor = + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.cloud.automl.v1beta1.ClassificationProto.getDescriptor(), + com.google.api.AnnotationsProto.getDescriptor(), + }); + internal_static_google_cloud_automl_v1beta1_TextClassificationDatasetMetadata_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_TextClassificationDatasetMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TextClassificationDatasetMetadata_descriptor, + new java.lang.String[] { + "ClassificationType", + }); + internal_static_google_cloud_automl_v1beta1_TextClassificationModelMetadata_descriptor = + getDescriptor().getMessageTypes().get(1); + internal_static_google_cloud_automl_v1beta1_TextClassificationModelMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TextClassificationModelMetadata_descriptor, + new java.lang.String[] { + "ClassificationType", + }); + internal_static_google_cloud_automl_v1beta1_TextExtractionDatasetMetadata_descriptor = + getDescriptor().getMessageTypes().get(2); + internal_static_google_cloud_automl_v1beta1_TextExtractionDatasetMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TextExtractionDatasetMetadata_descriptor, + new java.lang.String[] {}); + internal_static_google_cloud_automl_v1beta1_TextExtractionModelMetadata_descriptor = + getDescriptor().getMessageTypes().get(3); + internal_static_google_cloud_automl_v1beta1_TextExtractionModelMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TextExtractionModelMetadata_descriptor, + new java.lang.String[] {}); + internal_static_google_cloud_automl_v1beta1_TextSentimentDatasetMetadata_descriptor = + getDescriptor().getMessageTypes().get(4); + internal_static_google_cloud_automl_v1beta1_TextSentimentDatasetMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TextSentimentDatasetMetadata_descriptor, + new java.lang.String[] { + "SentimentMax", + }); + internal_static_google_cloud_automl_v1beta1_TextSentimentModelMetadata_descriptor = + getDescriptor().getMessageTypes().get(5); + internal_static_google_cloud_automl_v1beta1_TextSentimentModelMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TextSentimentModelMetadata_descriptor, + new java.lang.String[] {}); + com.google.cloud.automl.v1beta1.ClassificationProto.getDescriptor(); + com.google.api.AnnotationsProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSegment.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSegment.java new file mode 100644 index 000000000..471cd8f51 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSegment.java @@ -0,0 +1,820 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text_segment.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * A contiguous part of a text (string), assuming it has an UTF-8 NFC encoding.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextSegment} + */ +public final class TextSegment extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TextSegment) + TextSegmentOrBuilder { + private static final long serialVersionUID = 0L; + // Use TextSegment.newBuilder() to construct. + private TextSegment(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TextSegment() { + content_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new TextSegment(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TextSegment( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 8: + { + startOffset_ = input.readInt64(); + break; + } + case 16: + { + endOffset_ = input.readInt64(); + break; + } + case 26: + { + java.lang.String s = input.readStringRequireUtf8(); + + content_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextSegmentProto + .internal_static_google_cloud_automl_v1beta1_TextSegment_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextSegmentProto + .internal_static_google_cloud_automl_v1beta1_TextSegment_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextSegment.class, + com.google.cloud.automl.v1beta1.TextSegment.Builder.class); + } + + public static final int CONTENT_FIELD_NUMBER = 3; + private volatile java.lang.Object content_; + /** + * + * + * 
+   * Output only. The content of the TextSegment.
+   *
+ * + * string content = 3; + * + * @return The content. + */ + public java.lang.String getContent() { + java.lang.Object ref = content_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + content_ = s; + return s; + } + } + /** + * + * + * 
+   * Output only. The content of the TextSegment.
+   *
+ * + * string content = 3; + * + * @return The bytes for content. + */ + public com.google.protobuf.ByteString getContentBytes() { + java.lang.Object ref = content_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + content_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int START_OFFSET_FIELD_NUMBER = 1; + private long startOffset_; + /** + * + * + * 
+   * Required. Zero-based character index of the first character of the text
+   * segment (counting characters from the beginning of the text).
+   *
+ * + * int64 start_offset = 1; + * + * @return The startOffset. + */ + public long getStartOffset() { + return startOffset_; + } + + public static final int END_OFFSET_FIELD_NUMBER = 2; + private long endOffset_; + /** + * + * + * 
+   * Required. Zero-based character index of the first character past the end of
+   * the text segment (counting character from the beginning of the text).
+   * The character at the end_offset is NOT included in the text segment.
+   *
+ * + * int64 end_offset = 2; + * + * @return The endOffset. + */ + public long getEndOffset() { + return endOffset_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (startOffset_ != 0L) { + output.writeInt64(1, startOffset_); + } + if (endOffset_ != 0L) { + output.writeInt64(2, endOffset_); + } + if (!getContentBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 3, content_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (startOffset_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(1, startOffset_); + } + if (endOffset_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(2, endOffset_); + } + if (!getContentBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, content_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TextSegment)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TextSegment other = + (com.google.cloud.automl.v1beta1.TextSegment) obj; + + if (!getContent().equals(other.getContent())) return false; + if (getStartOffset() != other.getStartOffset()) return false; + if (getEndOffset() != other.getEndOffset()) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + CONTENT_FIELD_NUMBER; + hash = (53 * hash) + getContent().hashCode(); + hash = (37 * hash) + START_OFFSET_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getStartOffset()); + hash = (37 * hash) + END_OFFSET_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getEndOffset()); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TextSegment parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSegment parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSegment parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSegment parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSegment parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSegment parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSegment parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSegment parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSegment parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSegment parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSegment parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSegment parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.TextSegment prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * A contiguous part of a text (string), assuming it has an UTF-8 NFC encoding.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextSegment} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TextSegment) + com.google.cloud.automl.v1beta1.TextSegmentOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextSegmentProto + .internal_static_google_cloud_automl_v1beta1_TextSegment_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextSegmentProto + .internal_static_google_cloud_automl_v1beta1_TextSegment_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextSegment.class, + com.google.cloud.automl.v1beta1.TextSegment.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TextSegment.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + content_ = ""; + + startOffset_ = 0L; + + endOffset_ = 0L; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TextSegmentProto + .internal_static_google_cloud_automl_v1beta1_TextSegment_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSegment getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TextSegment.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSegment build() { + com.google.cloud.automl.v1beta1.TextSegment result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSegment buildPartial() { + com.google.cloud.automl.v1beta1.TextSegment result = + new com.google.cloud.automl.v1beta1.TextSegment(this); + result.content_ = content_; + result.startOffset_ = startOffset_; + result.endOffset_ = endOffset_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TextSegment) { + return mergeFrom((com.google.cloud.automl.v1beta1.TextSegment) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TextSegment other) { + if (other == com.google.cloud.automl.v1beta1.TextSegment.getDefaultInstance()) return this; + if (!other.getContent().isEmpty()) { + content_ = other.content_; + onChanged(); + } + if (other.getStartOffset() != 0L) { + setStartOffset(other.getStartOffset()); + } + if (other.getEndOffset() != 0L) { + setEndOffset(other.getEndOffset()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TextSegment parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.TextSegment) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object content_ = ""; + /** + * + * + * 
+     * Output only. The content of the TextSegment.
+     *
+ * + * string content = 3; + * + * @return The content. + */ + public java.lang.String getContent() { + java.lang.Object ref = content_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + content_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Output only. The content of the TextSegment.
+     *
+ * + * string content = 3; + * + * @return The bytes for content. + */ + public com.google.protobuf.ByteString getContentBytes() { + java.lang.Object ref = content_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + content_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Output only. The content of the TextSegment.
+     *
+ * + * string content = 3; + * + * @param value The content to set. + * @return This builder for chaining. + */ + public Builder setContent(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + content_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The content of the TextSegment.
+     *
+ * + * string content = 3; + * + * @return This builder for chaining. + */ + public Builder clearContent() { + + content_ = getDefaultInstance().getContent(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The content of the TextSegment.
+     *
+ * + * string content = 3; + * + * @param value The bytes for content to set. + * @return This builder for chaining. + */ + public Builder setContentBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + content_ = value; + onChanged(); + return this; + } + + private long startOffset_; + /** + * + * + * 
+     * Required. Zero-based character index of the first character of the text
+     * segment (counting characters from the beginning of the text).
+     *
+ * + * int64 start_offset = 1; + * + * @return The startOffset. + */ + public long getStartOffset() { + return startOffset_; + } + /** + * + * + * 
+     * Required. Zero-based character index of the first character of the text
+     * segment (counting characters from the beginning of the text).
+     *
+ * + * int64 start_offset = 1; + * + * @param value The startOffset to set. + * @return This builder for chaining. + */ + public Builder setStartOffset(long value) { + + startOffset_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Zero-based character index of the first character of the text
+     * segment (counting characters from the beginning of the text).
+     *
+ * + * int64 start_offset = 1; + * + * @return This builder for chaining. + */ + public Builder clearStartOffset() { + + startOffset_ = 0L; + onChanged(); + return this; + } + + private long endOffset_; + /** + * + * + * 
+     * Required. Zero-based character index of the first character past the end of
+     * the text segment (counting character from the beginning of the text).
+     * The character at the end_offset is NOT included in the text segment.
+     *
+ * + * int64 end_offset = 2; + * + * @return The endOffset. + */ + public long getEndOffset() { + return endOffset_; + } + /** + * + * + * 
+     * Required. Zero-based character index of the first character past the end of
+     * the text segment (counting character from the beginning of the text).
+     * The character at the end_offset is NOT included in the text segment.
+     *
+ * + * int64 end_offset = 2; + * + * @param value The endOffset to set. + * @return This builder for chaining. + */ + public Builder setEndOffset(long value) { + + endOffset_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Zero-based character index of the first character past the end of
+     * the text segment (counting character from the beginning of the text).
+     * The character at the end_offset is NOT included in the text segment.
+     *
+ * + * int64 end_offset = 2; + * + * @return This builder for chaining. + */ + public Builder clearEndOffset() { + + endOffset_ = 0L; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TextSegment) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextSegment) + private static final com.google.cloud.automl.v1beta1.TextSegment DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TextSegment(); + } + + public static com.google.cloud.automl.v1beta1.TextSegment getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TextSegment parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TextSegment(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSegment getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSegmentOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSegmentOrBuilder.java new file mode 100644 index 000000000..b962b39db --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSegmentOrBuilder.java @@ -0,0 +1,79 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text_segment.proto + +package com.google.cloud.automl.v1beta1; + +public interface TextSegmentOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextSegment) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Output only. The content of the TextSegment.
+   *
+ * + * string content = 3; + * + * @return The content. + */ + java.lang.String getContent(); + /** + * + * + * 
+   * Output only. The content of the TextSegment.
+   *
+ * + * string content = 3; + * + * @return The bytes for content. + */ + com.google.protobuf.ByteString getContentBytes(); + + /** + * + * + * 
+   * Required. Zero-based character index of the first character of the text
+   * segment (counting characters from the beginning of the text).
+   *
+ * + * int64 start_offset = 1; + * + * @return The startOffset. + */ + long getStartOffset(); + + /** + * + * + * 
+   * Required. Zero-based character index of the first character past the end of
+   * the text segment (counting character from the beginning of the text).
+   * The character at the end_offset is NOT included in the text segment.
+   *
+ * + * int64 end_offset = 2; + * + * @return The endOffset. + */ + long getEndOffset(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSegmentProto.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSegmentProto.java new file mode 100644 index 000000000..8b48229f9 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSegmentProto.java @@ -0,0 +1,72 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text_segment.proto + +package com.google.cloud.automl.v1beta1; + +public final class TextSegmentProto { + private TextSegmentProto() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TextSegment_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TextSegment_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n.google/cloud/automl/v1beta1/text_segme" + + "nt.proto\022\033google.cloud.automl.v1beta1\032\034g" + + "oogle/api/annotations.proto\"H\n\013TextSegme" + + "nt\022\017\n\007content\030\003 \001(\t\022\024\n\014start_offset\030\001 \001(" + + "\003\022\022\n\nend_offset\030\002 \001(\003B\267\001\n\037com.google.clo" + + "ud.automl.v1beta1B\020TextSegmentProtoP\001ZAg" + + "oogle.golang.org/genproto/googleapis/clo" + + "ud/automl/v1beta1;automl\312\002\033Google\\Cloud\\" + + "AutoMl\\V1beta1\352\002\036Google::Cloud::AutoML::" + + "V1beta1b\006proto3" + }; + descriptor = + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.api.AnnotationsProto.getDescriptor(), + }); + internal_static_google_cloud_automl_v1beta1_TextSegment_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_TextSegment_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TextSegment_descriptor, + new java.lang.String[] { + "Content", "StartOffset", "EndOffset", + }); + com.google.api.AnnotationsProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentDatasetMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentDatasetMetadata.java new file mode 100644 index 000000000..c84d477e6 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentDatasetMetadata.java @@ -0,0 +1,568 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Dataset metadata for text sentiment.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextSentimentDatasetMetadata} + */ +public final class TextSentimentDatasetMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) + TextSentimentDatasetMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use TextSentimentDatasetMetadata.newBuilder() to construct. + private TextSentimentDatasetMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TextSentimentDatasetMetadata() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new TextSentimentDatasetMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TextSentimentDatasetMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 8: + { + sentimentMax_ = input.readInt32(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentDatasetMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentDatasetMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.class, + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.Builder.class); + } + + public static final int SENTIMENT_MAX_FIELD_NUMBER = 1; + private int sentimentMax_; + /** + * + * + * 
+   * Required. A sentiment is expressed as an integer ordinal, where higher value
+   * means a more positive sentiment. The range of sentiments that will be used
+   * is between 0 and sentiment_max (inclusive on both ends), and all the values
+   * in the range must be represented in the dataset before a model can be
+   * created.
+   * sentiment_max value must be between 1 and 10 (inclusive).
+   *
+ * + * int32 sentiment_max = 1; + * + * @return The sentimentMax. + */ + public int getSentimentMax() { + return sentimentMax_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (sentimentMax_ != 0) { + output.writeInt32(1, sentimentMax_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (sentimentMax_ != 0) { + size += com.google.protobuf.CodedOutputStream.computeInt32Size(1, sentimentMax_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata other = + (com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) obj; + + if (getSentimentMax() != other.getSentimentMax()) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + SENTIMENT_MAX_FIELD_NUMBER; + hash = (53 * hash) + getSentimentMax(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Dataset metadata for text sentiment.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextSentimentDatasetMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentDatasetMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentDatasetMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.class, + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + sentimentMax_ = 0; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentDatasetMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata build() { + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata buildPartial() { + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata result = + new com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata(this); + result.sentimentMax_ = sentimentMax_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata other) { + if (other + == com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.getDefaultInstance()) + return this; + if (other.getSentimentMax() != 0) { + setSentimentMax(other.getSentimentMax()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int sentimentMax_; + /** + * + * + * 
+     * Required. A sentiment is expressed as an integer ordinal, where higher value
+     * means a more positive sentiment. The range of sentiments that will be used
+     * is between 0 and sentiment_max (inclusive on both ends), and all the values
+     * in the range must be represented in the dataset before a model can be
+     * created.
+     * sentiment_max value must be between 1 and 10 (inclusive).
+     *
+ * + * int32 sentiment_max = 1; + * + * @return The sentimentMax. + */ + public int getSentimentMax() { + return sentimentMax_; + } + /** + * + * + * 
+     * Required. A sentiment is expressed as an integer ordinal, where higher value
+     * means a more positive sentiment. The range of sentiments that will be used
+     * is between 0 and sentiment_max (inclusive on both ends), and all the values
+     * in the range must be represented in the dataset before a model can be
+     * created.
+     * sentiment_max value must be between 1 and 10 (inclusive).
+     *
+ * + * int32 sentiment_max = 1; + * + * @param value The sentimentMax to set. + * @return This builder for chaining. + */ + public Builder setSentimentMax(int value) { + + sentimentMax_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. A sentiment is expressed as an integer ordinal, where higher value
+     * means a more positive sentiment. The range of sentiments that will be used
+     * is between 0 and sentiment_max (inclusive on both ends), and all the values
+     * in the range must be represented in the dataset before a model can be
+     * created.
+     * sentiment_max value must be between 1 and 10 (inclusive).
+     *
+ * + * int32 sentiment_max = 1; + * + * @return This builder for chaining. + */ + public Builder clearSentimentMax() { + + sentimentMax_ = 0; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) + private static final com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata(); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TextSentimentDatasetMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TextSentimentDatasetMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentDatasetMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentDatasetMetadataOrBuilder.java new file mode 100644 index 000000000..e6e98f5c3 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentDatasetMetadataOrBuilder.java @@ -0,0 +1,43 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text.proto + +package com.google.cloud.automl.v1beta1; + +public interface TextSentimentDatasetMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. A sentiment is expressed as an integer ordinal, where higher value
+   * means a more positive sentiment. The range of sentiments that will be used
+   * is between 0 and sentiment_max (inclusive on both ends), and all the values
+   * in the range must be represented in the dataset before a model can be
+   * created.
+   * sentiment_max value must be between 1 and 10 (inclusive).
+   *
+ * + * int32 sentiment_max = 1; + * + * @return The sentimentMax. + */ + int getSentimentMax(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentModelMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentModelMetadata.java new file mode 100644 index 000000000..7898d9f11 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentModelMetadata.java @@ -0,0 +1,457 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Model metadata that is specific to text sentiment.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextSentimentModelMetadata} + */ +public final class TextSentimentModelMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TextSentimentModelMetadata) + TextSentimentModelMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use TextSentimentModelMetadata.newBuilder() to construct. + private TextSentimentModelMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TextSentimentModelMetadata() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new TextSentimentModelMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TextSentimentModelMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentModelMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentModelMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.class, + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.Builder.class); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TextSentimentModelMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata other = + (com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) obj; + + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TextSentimentModelMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentModelMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentModelMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentModelMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentModelMetadata parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentModelMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentModelMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentModelMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentModelMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentModelMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentModelMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentModelMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Model metadata that is specific to text sentiment.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextSentimentModelMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TextSentimentModelMetadata) + com.google.cloud.automl.v1beta1.TextSentimentModelMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentModelMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentModelMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.class, + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentModelMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentModelMetadata getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentModelMetadata build() { + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentModelMetadata buildPartial() { + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata result = + new com.google.cloud.automl.v1beta1.TextSentimentModelMetadata(this); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TextSentimentModelMetadata other) { + if (other == com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.getDefaultInstance()) + return this; + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TextSentimentModelMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextSentimentModelMetadata) + private static final com.google.cloud.automl.v1beta1.TextSentimentModelMetadata DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TextSentimentModelMetadata(); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentModelMetadata getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TextSentimentModelMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TextSentimentModelMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentModelMetadata getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentModelMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentModelMetadataOrBuilder.java new file mode 100644 index 000000000..37e17f5c2 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentModelMetadataOrBuilder.java @@ -0,0 +1,24 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text.proto + +package com.google.cloud.automl.v1beta1; + +public interface TextSentimentModelMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextSentimentModelMetadata) + com.google.protobuf.MessageOrBuilder {} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentProto.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentProto.java new file mode 100644 index 000000000..89c935107 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentProto.java @@ -0,0 +1,2727 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text_sentiment.proto + +package com.google.cloud.automl.v1beta1; + +public final class TextSentimentProto { + private TextSentimentProto() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + public interface TextSentimentAnnotationOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextSentimentAnnotation) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+     * Output only. The sentiment with the semantic, as given to the
+     * [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData] when populating the dataset from which the model used
+     * for the prediction had been trained.
+     * The sentiment values are between 0 and
+     * Dataset.text_sentiment_dataset_metadata.sentiment_max (inclusive),
+     * with higher value meaning more positive sentiment. They are completely
+     * relative, i.e. 0 means least positive sentiment and sentiment_max means
+     * the most positive from the sentiments present in the train data. Therefore
+     *  e.g. if train data had only negative sentiment, then sentiment_max, would
+     * be still negative (although least negative).
+     * The sentiment shouldn't be confused with "score" or "magnitude"
+     * from the previous Natural Language Sentiment Analysis API.
+     *
+ * + * int32 sentiment = 1; + * + * @return The sentiment. + */ + int getSentiment(); + } + /** + * + * + * 
+   * Contains annotation details specific to text sentiment.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextSentimentAnnotation} + */ + public static final class TextSentimentAnnotation extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TextSentimentAnnotation) + TextSentimentAnnotationOrBuilder { + private static final long serialVersionUID = 0L; + // Use TextSentimentAnnotation.newBuilder() to construct. + private TextSentimentAnnotation(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TextSentimentAnnotation() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new TextSentimentAnnotation(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TextSentimentAnnotation( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 8: + { + sentiment_ = input.readInt32(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextSentimentProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextSentimentProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.class, + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.Builder + .class); + } + + public static final int SENTIMENT_FIELD_NUMBER = 1; + private int sentiment_; + /** + * + * + * 
+     * Output only. The sentiment with the semantic, as given to the
+     * [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData] when populating the dataset from which the model used
+     * for the prediction had been trained.
+     * The sentiment values are between 0 and
+     * Dataset.text_sentiment_dataset_metadata.sentiment_max (inclusive),
+     * with higher value meaning more positive sentiment. They are completely
+     * relative, i.e. 0 means least positive sentiment and sentiment_max means
+     * the most positive from the sentiments present in the train data. Therefore
+     *  e.g. if train data had only negative sentiment, then sentiment_max, would
+     * be still negative (although least negative).
+     * The sentiment shouldn't be confused with "score" or "magnitude"
+     * from the previous Natural Language Sentiment Analysis API.
+     *
+ * + * int32 sentiment = 1; + * + * @return The sentiment. + */ + public int getSentiment() { + return sentiment_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (sentiment_ != 0) { + output.writeInt32(1, sentiment_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (sentiment_ != 0) { + size += com.google.protobuf.CodedOutputStream.computeInt32Size(1, sentiment_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj + instanceof com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation other = + (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation) obj; + + if (getSentiment() != other.getSentiment()) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + SENTIMENT_FIELD_NUMBER; + hash = (53 * hash) + getSentiment(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + parseFrom(com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + parseFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType( + com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+     * Contains annotation details specific to text sentiment.
+     *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextSentimentAnnotation} + */ + public static final class Builder + extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TextSentimentAnnotation) + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotationOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextSentimentProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextSentimentProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.class, + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.Builder + .class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + sentiment_ = 0; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TextSentimentProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + .getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation build() { + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation result = + buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + buildPartial() { + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation result = + new com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation(this); + result.sentiment_ = sentiment_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, + int index, + java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other + instanceof com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation other) { + if (other + == com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + .getDefaultInstance()) return this; + if (other.getSentiment() != 0) { + setSentiment(other.getSentiment()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation parsedMessage = + null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int sentiment_; + /** + * + * + * 
+       * Output only. The sentiment with the semantic, as given to the
+       * [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData] when populating the dataset from which the model used
+       * for the prediction had been trained.
+       * The sentiment values are between 0 and
+       * Dataset.text_sentiment_dataset_metadata.sentiment_max (inclusive),
+       * with higher value meaning more positive sentiment. They are completely
+       * relative, i.e. 0 means least positive sentiment and sentiment_max means
+       * the most positive from the sentiments present in the train data. Therefore
+       *  e.g. if train data had only negative sentiment, then sentiment_max, would
+       * be still negative (although least negative).
+       * The sentiment shouldn't be confused with "score" or "magnitude"
+       * from the previous Natural Language Sentiment Analysis API.
+       *
+ * + * int32 sentiment = 1; + * + * @return The sentiment. + */ + public int getSentiment() { + return sentiment_; + } + /** + * + * + * 
+       * Output only. The sentiment with the semantic, as given to the
+       * [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData] when populating the dataset from which the model used
+       * for the prediction had been trained.
+       * The sentiment values are between 0 and
+       * Dataset.text_sentiment_dataset_metadata.sentiment_max (inclusive),
+       * with higher value meaning more positive sentiment. They are completely
+       * relative, i.e. 0 means least positive sentiment and sentiment_max means
+       * the most positive from the sentiments present in the train data. Therefore
+       *  e.g. if train data had only negative sentiment, then sentiment_max, would
+       * be still negative (although least negative).
+       * The sentiment shouldn't be confused with "score" or "magnitude"
+       * from the previous Natural Language Sentiment Analysis API.
+       *
+ * + * int32 sentiment = 1; + * + * @param value The sentiment to set. + * @return This builder for chaining. + */ + public Builder setSentiment(int value) { + + sentiment_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. The sentiment with the semantic, as given to the
+       * [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData] when populating the dataset from which the model used
+       * for the prediction had been trained.
+       * The sentiment values are between 0 and
+       * Dataset.text_sentiment_dataset_metadata.sentiment_max (inclusive),
+       * with higher value meaning more positive sentiment. They are completely
+       * relative, i.e. 0 means least positive sentiment and sentiment_max means
+       * the most positive from the sentiments present in the train data. Therefore
+       *  e.g. if train data had only negative sentiment, then sentiment_max, would
+       * be still negative (although least negative).
+       * The sentiment shouldn't be confused with "score" or "magnitude"
+       * from the previous Natural Language Sentiment Analysis API.
+       *
+ * + * int32 sentiment = 1; + * + * @return This builder for chaining. + */ + public Builder clearSentiment() { + + sentiment_ = 0; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TextSentimentAnnotation) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextSentimentAnnotation) + private static final com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = + new com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation(); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TextSentimentAnnotation parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TextSentimentAnnotation(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } + } + + public interface TextSentimentEvaluationMetricsOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+     * Output only. Precision.
+     *
+ * + * float precision = 1; + * + * @return The precision. + */ + float getPrecision(); + + /** + * + * + * 
+     * Output only. Recall.
+     *
+ * + * float recall = 2; + * + * @return The recall. + */ + float getRecall(); + + /** + * + * + * 
+     * Output only. The harmonic mean of recall and precision.
+     *
+ * + * float f1_score = 3; + * + * @return The f1Score. + */ + float getF1Score(); + + /** + * + * + * 
+     * Output only. Mean absolute error. Only set for the overall model
+     * evaluation, not for evaluation of a single annotation spec.
+     *
+ * + * float mean_absolute_error = 4; + * + * @return The meanAbsoluteError. + */ + float getMeanAbsoluteError(); + + /** + * + * + * 
+     * Output only. Mean squared error. Only set for the overall model
+     * evaluation, not for evaluation of a single annotation spec.
+     *
+ * + * float mean_squared_error = 5; + * + * @return The meanSquaredError. + */ + float getMeanSquaredError(); + + /** + * + * + * 
+     * Output only. Linear weighted kappa. Only set for the overall model
+     * evaluation, not for evaluation of a single annotation spec.
+     *
+ * + * float linear_kappa = 6; + * + * @return The linearKappa. + */ + float getLinearKappa(); + + /** + * + * + * 
+     * Output only. Quadratic weighted kappa. Only set for the overall model
+     * evaluation, not for evaluation of a single annotation spec.
+     *
+ * + * float quadratic_kappa = 7; + * + * @return The quadraticKappa. + */ + float getQuadraticKappa(); + + /** + * + * + * 
+     * Output only. Confusion matrix of the evaluation.
+     * Only set for the overall model evaluation, not for evaluation of a single
+     * annotation spec.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + * + * @return Whether the confusionMatrix field is set. + */ + boolean hasConfusionMatrix(); + /** + * + * + * 
+     * Output only. Confusion matrix of the evaluation.
+     * Only set for the overall model evaluation, not for evaluation of a single
+     * annotation spec.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + * + * @return The confusionMatrix. + */ + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + getConfusionMatrix(); + /** + * + * + * 
+     * Output only. Confusion matrix of the evaluation.
+     * Only set for the overall model evaluation, not for evaluation of a single
+     * annotation spec.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + */ + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrixOrBuilder + getConfusionMatrixOrBuilder(); + + /** + * + * + * 
+     * Output only. The annotation spec ids used for this evaluation.
+     * Deprecated .
+     *
+ * + * repeated string annotation_spec_id = 9 [deprecated = true]; + * + * @return A list containing the annotationSpecId. + */ + @java.lang.Deprecated + java.util.List getAnnotationSpecIdList(); + /** + * + * + * 
+     * Output only. The annotation spec ids used for this evaluation.
+     * Deprecated .
+     *
+ * + * repeated string annotation_spec_id = 9 [deprecated = true]; + * + * @return The count of annotationSpecId. + */ + @java.lang.Deprecated + int getAnnotationSpecIdCount(); + /** + * + * + * 
+     * Output only. The annotation spec ids used for this evaluation.
+     * Deprecated .
+     *
+ * + * repeated string annotation_spec_id = 9 [deprecated = true]; + * + * @param index The index of the element to return. + * @return The annotationSpecId at the given index. + */ + @java.lang.Deprecated + java.lang.String getAnnotationSpecId(int index); + /** + * + * + * 
+     * Output only. The annotation spec ids used for this evaluation.
+     * Deprecated .
+     *
+ * + * repeated string annotation_spec_id = 9 [deprecated = true]; + * + * @param index The index of the value to return. + * @return The bytes of the annotationSpecId at the given index. + */ + @java.lang.Deprecated + com.google.protobuf.ByteString getAnnotationSpecIdBytes(int index); + } + /** + * + * + * 
+   * Model evaluation metrics for text sentiment problems.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics} + */ + public static final class TextSentimentEvaluationMetrics + extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics) + TextSentimentEvaluationMetricsOrBuilder { + private static final long serialVersionUID = 0L; + // Use TextSentimentEvaluationMetrics.newBuilder() to construct. + private TextSentimentEvaluationMetrics( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TextSentimentEvaluationMetrics() { + annotationSpecId_ = com.google.protobuf.LazyStringArrayList.EMPTY; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new TextSentimentEvaluationMetrics(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TextSentimentEvaluationMetrics( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 13: + { + precision_ = input.readFloat(); + break; + } + case 21: + { + recall_ = input.readFloat(); + break; + } + case 29: + { + f1Score_ = input.readFloat(); + break; + } + case 37: + { + meanAbsoluteError_ = input.readFloat(); + break; + } + case 45: + { + meanSquaredError_ = input.readFloat(); + break; + } + case 53: + { + linearKappa_ = input.readFloat(); + break; + } + case 61: + { + quadraticKappa_ = input.readFloat(); + break; + } + case 66: + { + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Builder + subBuilder = null; + if (confusionMatrix_ != null) { + subBuilder = confusionMatrix_.toBuilder(); + } + confusionMatrix_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(confusionMatrix_); + confusionMatrix_ = subBuilder.buildPartial(); + } + + break; + } + case 74: + { + java.lang.String s = input.readStringRequireUtf8(); + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + annotationSpecId_ = new com.google.protobuf.LazyStringArrayList(); + mutable_bitField0_ |= 0x00000001; + } + annotationSpecId_.add(s); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + annotationSpecId_ = annotationSpecId_.getUnmodifiableView(); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextSentimentProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentEvaluationMetrics_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextSentimentProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentEvaluationMetrics_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + .class, + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + .Builder.class); + } + + public static final int PRECISION_FIELD_NUMBER = 1; + private float precision_; + /** + * + * + * 
+     * Output only. Precision.
+     *
+ * + * float precision = 1; + * + * @return The precision. + */ + public float getPrecision() { + return precision_; + } + + public static final int RECALL_FIELD_NUMBER = 2; + private float recall_; + /** + * + * + * 
+     * Output only. Recall.
+     *
+ * + * float recall = 2; + * + * @return The recall. + */ + public float getRecall() { + return recall_; + } + + public static final int F1_SCORE_FIELD_NUMBER = 3; + private float f1Score_; + /** + * + * + * 
+     * Output only. The harmonic mean of recall and precision.
+     *
+ * + * float f1_score = 3; + * + * @return The f1Score. + */ + public float getF1Score() { + return f1Score_; + } + + public static final int MEAN_ABSOLUTE_ERROR_FIELD_NUMBER = 4; + private float meanAbsoluteError_; + /** + * + * + * 
+     * Output only. Mean absolute error. Only set for the overall model
+     * evaluation, not for evaluation of a single annotation spec.
+     *
+ * + * float mean_absolute_error = 4; + * + * @return The meanAbsoluteError. + */ + public float getMeanAbsoluteError() { + return meanAbsoluteError_; + } + + public static final int MEAN_SQUARED_ERROR_FIELD_NUMBER = 5; + private float meanSquaredError_; + /** + * + * + * 
+     * Output only. Mean squared error. Only set for the overall model
+     * evaluation, not for evaluation of a single annotation spec.
+     *
+ * + * float mean_squared_error = 5; + * + * @return The meanSquaredError. + */ + public float getMeanSquaredError() { + return meanSquaredError_; + } + + public static final int LINEAR_KAPPA_FIELD_NUMBER = 6; + private float linearKappa_; + /** + * + * + * 
+     * Output only. Linear weighted kappa. Only set for the overall model
+     * evaluation, not for evaluation of a single annotation spec.
+     *
+ * + * float linear_kappa = 6; + * + * @return The linearKappa. + */ + public float getLinearKappa() { + return linearKappa_; + } + + public static final int QUADRATIC_KAPPA_FIELD_NUMBER = 7; + private float quadraticKappa_; + /** + * + * + * 
+     * Output only. Quadratic weighted kappa. Only set for the overall model
+     * evaluation, not for evaluation of a single annotation spec.
+     *
+ * + * float quadratic_kappa = 7; + * + * @return The quadraticKappa. + */ + public float getQuadraticKappa() { + return quadraticKappa_; + } + + public static final int CONFUSION_MATRIX_FIELD_NUMBER = 8; + private com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + confusionMatrix_; + /** + * + * + * 
+     * Output only. Confusion matrix of the evaluation.
+     * Only set for the overall model evaluation, not for evaluation of a single
+     * annotation spec.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + * + * @return Whether the confusionMatrix field is set. + */ + public boolean hasConfusionMatrix() { + return confusionMatrix_ != null; + } + /** + * + * + * 
+     * Output only. Confusion matrix of the evaluation.
+     * Only set for the overall model evaluation, not for evaluation of a single
+     * annotation spec.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + * + * @return The confusionMatrix. + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + getConfusionMatrix() { + return confusionMatrix_ == null + ? com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.getDefaultInstance() + : confusionMatrix_; + } + /** + * + * + * 
+     * Output only. Confusion matrix of the evaluation.
+     * Only set for the overall model evaluation, not for evaluation of a single
+     * annotation spec.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrixOrBuilder + getConfusionMatrixOrBuilder() { + return getConfusionMatrix(); + } + + public static final int ANNOTATION_SPEC_ID_FIELD_NUMBER = 9; + private com.google.protobuf.LazyStringList annotationSpecId_; + /** + * + * + * 
+     * Output only. The annotation spec ids used for this evaluation.
+     * Deprecated .
+     *
+ * + * repeated string annotation_spec_id = 9 [deprecated = true]; + * + * @return A list containing the annotationSpecId. + */ + @java.lang.Deprecated + public com.google.protobuf.ProtocolStringList getAnnotationSpecIdList() { + return annotationSpecId_; + } + /** + * + * + * 
+     * Output only. The annotation spec ids used for this evaluation.
+     * Deprecated .
+     *
+ * + * repeated string annotation_spec_id = 9 [deprecated = true]; + * + * @return The count of annotationSpecId. + */ + @java.lang.Deprecated + public int getAnnotationSpecIdCount() { + return annotationSpecId_.size(); + } + /** + * + * + * 
+     * Output only. The annotation spec ids used for this evaluation.
+     * Deprecated .
+     *
+ * + * repeated string annotation_spec_id = 9 [deprecated = true]; + * + * @param index The index of the element to return. + * @return The annotationSpecId at the given index. + */ + @java.lang.Deprecated + public java.lang.String getAnnotationSpecId(int index) { + return annotationSpecId_.get(index); + } + /** + * + * + * 
+     * Output only. The annotation spec ids used for this evaluation.
+     * Deprecated .
+     *
+ * + * repeated string annotation_spec_id = 9 [deprecated = true]; + * + * @param index The index of the value to return. + * @return The bytes of the annotationSpecId at the given index. + */ + @java.lang.Deprecated + public com.google.protobuf.ByteString getAnnotationSpecIdBytes(int index) { + return annotationSpecId_.getByteString(index); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (precision_ != 0F) { + output.writeFloat(1, precision_); + } + if (recall_ != 0F) { + output.writeFloat(2, recall_); + } + if (f1Score_ != 0F) { + output.writeFloat(3, f1Score_); + } + if (meanAbsoluteError_ != 0F) { + output.writeFloat(4, meanAbsoluteError_); + } + if (meanSquaredError_ != 0F) { + output.writeFloat(5, meanSquaredError_); + } + if (linearKappa_ != 0F) { + output.writeFloat(6, linearKappa_); + } + if (quadraticKappa_ != 0F) { + output.writeFloat(7, quadraticKappa_); + } + if (confusionMatrix_ != null) { + output.writeMessage(8, getConfusionMatrix()); + } + for (int i = 0; i < annotationSpecId_.size(); i++) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 9, annotationSpecId_.getRaw(i)); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (precision_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, precision_); + } + if (recall_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(2, recall_); + } + if (f1Score_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(3, f1Score_); + } + if (meanAbsoluteError_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(4, meanAbsoluteError_); + } + if (meanSquaredError_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(5, meanSquaredError_); + } + if (linearKappa_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(6, linearKappa_); + } + if (quadraticKappa_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(7, quadraticKappa_); + } + if (confusionMatrix_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(8, getConfusionMatrix()); + } + { + int dataSize = 0; + for (int i = 0; i < annotationSpecId_.size(); i++) { + dataSize += computeStringSizeNoTag(annotationSpecId_.getRaw(i)); + } + size += dataSize; + size += 1 * getAnnotationSpecIdList().size(); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj + instanceof + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics other = + (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics) obj; + + if (java.lang.Float.floatToIntBits(getPrecision()) + != java.lang.Float.floatToIntBits(other.getPrecision())) return false; + if (java.lang.Float.floatToIntBits(getRecall()) + != java.lang.Float.floatToIntBits(other.getRecall())) return false; + if (java.lang.Float.floatToIntBits(getF1Score()) + != java.lang.Float.floatToIntBits(other.getF1Score())) return false; + if (java.lang.Float.floatToIntBits(getMeanAbsoluteError()) + != java.lang.Float.floatToIntBits(other.getMeanAbsoluteError())) return false; + if (java.lang.Float.floatToIntBits(getMeanSquaredError()) + != java.lang.Float.floatToIntBits(other.getMeanSquaredError())) return false; + if (java.lang.Float.floatToIntBits(getLinearKappa()) + != java.lang.Float.floatToIntBits(other.getLinearKappa())) return false; + if (java.lang.Float.floatToIntBits(getQuadraticKappa()) + != java.lang.Float.floatToIntBits(other.getQuadraticKappa())) return false; + if (hasConfusionMatrix() != other.hasConfusionMatrix()) return false; + if (hasConfusionMatrix()) { + if (!getConfusionMatrix().equals(other.getConfusionMatrix())) return false; + } + if (!getAnnotationSpecIdList().equals(other.getAnnotationSpecIdList())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + PRECISION_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getPrecision()); + hash = (37 * hash) + RECALL_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getRecall()); + hash = (37 * hash) + F1_SCORE_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getF1Score()); + hash = (37 * hash) + MEAN_ABSOLUTE_ERROR_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getMeanAbsoluteError()); + hash = (37 * hash) + MEAN_SQUARED_ERROR_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getMeanSquaredError()); + hash = (37 * hash) + LINEAR_KAPPA_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getLinearKappa()); + hash = (37 * hash) + QUADRATIC_KAPPA_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getQuadraticKappa()); + if (hasConfusionMatrix()) { + hash = (37 * hash) + CONFUSION_MATRIX_FIELD_NUMBER; + hash = (53 * hash) + getConfusionMatrix().hashCode(); + } + if (getAnnotationSpecIdCount() > 0) { + hash = (37 * hash) + ANNOTATION_SPEC_ID_FIELD_NUMBER; + hash = (53 * hash) + getAnnotationSpecIdList().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + parseFrom(com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + parseFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType( + com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+     * Model evaluation metrics for text sentiment problems.
+     *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics} + */ + public static final class Builder + extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics) + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetricsOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextSentimentProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentEvaluationMetrics_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextSentimentProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentEvaluationMetrics_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + .class, + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + .Builder.class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + precision_ = 0F; + + recall_ = 0F; + + f1Score_ = 0F; + + meanAbsoluteError_ = 0F; + + meanSquaredError_ = 0F; + + linearKappa_ = 0F; + + quadraticKappa_ = 0F; + + if (confusionMatrixBuilder_ == null) { + confusionMatrix_ = null; + } else { + confusionMatrix_ = null; + confusionMatrixBuilder_ = null; + } + annotationSpecId_ = com.google.protobuf.LazyStringArrayList.EMPTY; + bitField0_ = (bitField0_ & ~0x00000001); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TextSentimentProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentEvaluationMetrics_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + .getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + build() { + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics result = + buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + buildPartial() { + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics result = + new com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics( + this); + int from_bitField0_ = bitField0_; + result.precision_ = precision_; + result.recall_ = recall_; + result.f1Score_ = f1Score_; + result.meanAbsoluteError_ = meanAbsoluteError_; + result.meanSquaredError_ = meanSquaredError_; + result.linearKappa_ = linearKappa_; + result.quadraticKappa_ = quadraticKappa_; + if (confusionMatrixBuilder_ == null) { + result.confusionMatrix_ = confusionMatrix_; + } else { + result.confusionMatrix_ = confusionMatrixBuilder_.build(); + } + if (((bitField0_ & 0x00000001) != 0)) { + annotationSpecId_ = annotationSpecId_.getUnmodifiableView(); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.annotationSpecId_ = annotationSpecId_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, + int index, + java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other + instanceof + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics) + other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics other) { + if (other + == com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + .getDefaultInstance()) return this; + if (other.getPrecision() != 0F) { + setPrecision(other.getPrecision()); + } + if (other.getRecall() != 0F) { + setRecall(other.getRecall()); + } + if (other.getF1Score() != 0F) { + setF1Score(other.getF1Score()); + } + if (other.getMeanAbsoluteError() != 0F) { + setMeanAbsoluteError(other.getMeanAbsoluteError()); + } + if (other.getMeanSquaredError() != 0F) { + setMeanSquaredError(other.getMeanSquaredError()); + } + if (other.getLinearKappa() != 0F) { + setLinearKappa(other.getLinearKappa()); + } + if (other.getQuadraticKappa() != 0F) { + setQuadraticKappa(other.getQuadraticKappa()); + } + if (other.hasConfusionMatrix()) { + mergeConfusionMatrix(other.getConfusionMatrix()); + } + if (!other.annotationSpecId_.isEmpty()) { + if (annotationSpecId_.isEmpty()) { + annotationSpecId_ = other.annotationSpecId_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensureAnnotationSpecIdIsMutable(); + annotationSpecId_.addAll(other.annotationSpecId_); + } + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private float precision_; + /** + * + * + * 
+       * Output only. Precision.
+       *
+ * + * float precision = 1; + * + * @return The precision. + */ + public float getPrecision() { + return precision_; + } + /** + * + * + * 
+       * Output only. Precision.
+       *
+ * + * float precision = 1; + * + * @param value The precision to set. + * @return This builder for chaining. + */ + public Builder setPrecision(float value) { + + precision_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. Precision.
+       *
+ * + * float precision = 1; + * + * @return This builder for chaining. + */ + public Builder clearPrecision() { + + precision_ = 0F; + onChanged(); + return this; + } + + private float recall_; + /** + * + * + * 
+       * Output only. Recall.
+       *
+ * + * float recall = 2; + * + * @return The recall. + */ + public float getRecall() { + return recall_; + } + /** + * + * + * 
+       * Output only. Recall.
+       *
+ * + * float recall = 2; + * + * @param value The recall to set. + * @return This builder for chaining. + */ + public Builder setRecall(float value) { + + recall_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. Recall.
+       *
+ * + * float recall = 2; + * + * @return This builder for chaining. + */ + public Builder clearRecall() { + + recall_ = 0F; + onChanged(); + return this; + } + + private float f1Score_; + /** + * + * + * 
+       * Output only. The harmonic mean of recall and precision.
+       *
+ * + * float f1_score = 3; + * + * @return The f1Score. + */ + public float getF1Score() { + return f1Score_; + } + /** + * + * + * 
+       * Output only. The harmonic mean of recall and precision.
+       *
+ * + * float f1_score = 3; + * + * @param value The f1Score to set. + * @return This builder for chaining. + */ + public Builder setF1Score(float value) { + + f1Score_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. The harmonic mean of recall and precision.
+       *
+ * + * float f1_score = 3; + * + * @return This builder for chaining. + */ + public Builder clearF1Score() { + + f1Score_ = 0F; + onChanged(); + return this; + } + + private float meanAbsoluteError_; + /** + * + * + * 
+       * Output only. Mean absolute error. Only set for the overall model
+       * evaluation, not for evaluation of a single annotation spec.
+       *
+ * + * float mean_absolute_error = 4; + * + * @return The meanAbsoluteError. + */ + public float getMeanAbsoluteError() { + return meanAbsoluteError_; + } + /** + * + * + * 
+       * Output only. Mean absolute error. Only set for the overall model
+       * evaluation, not for evaluation of a single annotation spec.
+       *
+ * + * float mean_absolute_error = 4; + * + * @param value The meanAbsoluteError to set. + * @return This builder for chaining. + */ + public Builder setMeanAbsoluteError(float value) { + + meanAbsoluteError_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. Mean absolute error. Only set for the overall model
+       * evaluation, not for evaluation of a single annotation spec.
+       *
+ * + * float mean_absolute_error = 4; + * + * @return This builder for chaining. + */ + public Builder clearMeanAbsoluteError() { + + meanAbsoluteError_ = 0F; + onChanged(); + return this; + } + + private float meanSquaredError_; + /** + * + * + * 
+       * Output only. Mean squared error. Only set for the overall model
+       * evaluation, not for evaluation of a single annotation spec.
+       *
+ * + * float mean_squared_error = 5; + * + * @return The meanSquaredError. + */ + public float getMeanSquaredError() { + return meanSquaredError_; + } + /** + * + * + * 
+       * Output only. Mean squared error. Only set for the overall model
+       * evaluation, not for evaluation of a single annotation spec.
+       *
+ * + * float mean_squared_error = 5; + * + * @param value The meanSquaredError to set. + * @return This builder for chaining. + */ + public Builder setMeanSquaredError(float value) { + + meanSquaredError_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. Mean squared error. Only set for the overall model
+       * evaluation, not for evaluation of a single annotation spec.
+       *
+ * + * float mean_squared_error = 5; + * + * @return This builder for chaining. + */ + public Builder clearMeanSquaredError() { + + meanSquaredError_ = 0F; + onChanged(); + return this; + } + + private float linearKappa_; + /** + * + * + * 
+       * Output only. Linear weighted kappa. Only set for the overall model
+       * evaluation, not for evaluation of a single annotation spec.
+       *
+ * + * float linear_kappa = 6; + * + * @return The linearKappa. + */ + public float getLinearKappa() { + return linearKappa_; + } + /** + * + * + * 
+       * Output only. Linear weighted kappa. Only set for the overall model
+       * evaluation, not for evaluation of a single annotation spec.
+       *
+ * + * float linear_kappa = 6; + * + * @param value The linearKappa to set. + * @return This builder for chaining. + */ + public Builder setLinearKappa(float value) { + + linearKappa_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. Linear weighted kappa. Only set for the overall model
+       * evaluation, not for evaluation of a single annotation spec.
+       *
+ * + * float linear_kappa = 6; + * + * @return This builder for chaining. + */ + public Builder clearLinearKappa() { + + linearKappa_ = 0F; + onChanged(); + return this; + } + + private float quadraticKappa_; + /** + * + * + * 
+       * Output only. Quadratic weighted kappa. Only set for the overall model
+       * evaluation, not for evaluation of a single annotation spec.
+       *
+ * + * float quadratic_kappa = 7; + * + * @return The quadraticKappa. + */ + public float getQuadraticKappa() { + return quadraticKappa_; + } + /** + * + * + * 
+       * Output only. Quadratic weighted kappa. Only set for the overall model
+       * evaluation, not for evaluation of a single annotation spec.
+       *
+ * + * float quadratic_kappa = 7; + * + * @param value The quadraticKappa to set. + * @return This builder for chaining. + */ + public Builder setQuadraticKappa(float value) { + + quadraticKappa_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. Quadratic weighted kappa. Only set for the overall model
+       * evaluation, not for evaluation of a single annotation spec.
+       *
+ * + * float quadratic_kappa = 7; + * + * @return This builder for chaining. + */ + public Builder clearQuadraticKappa() { + + quadraticKappa_ = 0F; + onChanged(); + return this; + } + + private com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + confusionMatrix_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Builder, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrixOrBuilder> + confusionMatrixBuilder_; + /** + * + * + * 
+       * Output only. Confusion matrix of the evaluation.
+       * Only set for the overall model evaluation, not for evaluation of a single
+       * annotation spec.
+       *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + * + * @return Whether the confusionMatrix field is set. + */ + public boolean hasConfusionMatrix() { + return confusionMatrixBuilder_ != null || confusionMatrix_ != null; + } + /** + * + * + * 
+       * Output only. Confusion matrix of the evaluation.
+       * Only set for the overall model evaluation, not for evaluation of a single
+       * annotation spec.
+       *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + * + * @return The confusionMatrix. + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + getConfusionMatrix() { + if (confusionMatrixBuilder_ == null) { + return confusionMatrix_ == null + ? com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.getDefaultInstance() + : confusionMatrix_; + } else { + return confusionMatrixBuilder_.getMessage(); + } + } + /** + * + * + * 
+       * Output only. Confusion matrix of the evaluation.
+       * Only set for the overall model evaluation, not for evaluation of a single
+       * annotation spec.
+       *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + */ + public Builder setConfusionMatrix( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + value) { + if (confusionMatrixBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + confusionMatrix_ = value; + onChanged(); + } else { + confusionMatrixBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+       * Output only. Confusion matrix of the evaluation.
+       * Only set for the overall model evaluation, not for evaluation of a single
+       * annotation spec.
+       *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + */ + public Builder setConfusionMatrix( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Builder + builderForValue) { + if (confusionMatrixBuilder_ == null) { + confusionMatrix_ = builderForValue.build(); + onChanged(); + } else { + confusionMatrixBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+       * Output only. Confusion matrix of the evaluation.
+       * Only set for the overall model evaluation, not for evaluation of a single
+       * annotation spec.
+       *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + */ + public Builder mergeConfusionMatrix( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + value) { + if (confusionMatrixBuilder_ == null) { + if (confusionMatrix_ != null) { + confusionMatrix_ = + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.newBuilder(confusionMatrix_) + .mergeFrom(value) + .buildPartial(); + } else { + confusionMatrix_ = value; + } + onChanged(); + } else { + confusionMatrixBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+       * Output only. Confusion matrix of the evaluation.
+       * Only set for the overall model evaluation, not for evaluation of a single
+       * annotation spec.
+       *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + */ + public Builder clearConfusionMatrix() { + if (confusionMatrixBuilder_ == null) { + confusionMatrix_ = null; + onChanged(); + } else { + confusionMatrix_ = null; + confusionMatrixBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+       * Output only. Confusion matrix of the evaluation.
+       * Only set for the overall model evaluation, not for evaluation of a single
+       * annotation spec.
+       *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Builder + getConfusionMatrixBuilder() { + + onChanged(); + return getConfusionMatrixFieldBuilder().getBuilder(); + } + /** + * + * + * 
+       * Output only. Confusion matrix of the evaluation.
+       * Only set for the overall model evaluation, not for evaluation of a single
+       * annotation spec.
+       *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrixOrBuilder + getConfusionMatrixOrBuilder() { + if (confusionMatrixBuilder_ != null) { + return confusionMatrixBuilder_.getMessageOrBuilder(); + } else { + return confusionMatrix_ == null + ? com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.getDefaultInstance() + : confusionMatrix_; + } + } + /** + * + * + * 
+       * Output only. Confusion matrix of the evaluation.
+       * Only set for the overall model evaluation, not for evaluation of a single
+       * annotation spec.
+       *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Builder, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrixOrBuilder> + getConfusionMatrixFieldBuilder() { + if (confusionMatrixBuilder_ == null) { + confusionMatrixBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix, + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Builder, + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder>( + getConfusionMatrix(), getParentForChildren(), isClean()); + confusionMatrix_ = null; + } + return confusionMatrixBuilder_; + } + + private com.google.protobuf.LazyStringList annotationSpecId_ = + com.google.protobuf.LazyStringArrayList.EMPTY; + + private void ensureAnnotationSpecIdIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + annotationSpecId_ = new com.google.protobuf.LazyStringArrayList(annotationSpecId_); + bitField0_ |= 0x00000001; + } + } + /** + * + * + * 
+       * Output only. The annotation spec ids used for this evaluation.
+       * Deprecated .
+       *
+ * + * repeated string annotation_spec_id = 9 [deprecated = true]; + * + * @return A list containing the annotationSpecId. + */ + @java.lang.Deprecated + public com.google.protobuf.ProtocolStringList getAnnotationSpecIdList() { + return annotationSpecId_.getUnmodifiableView(); + } + /** + * + * + * 
+       * Output only. The annotation spec ids used for this evaluation.
+       * Deprecated .
+       *
+ * + * repeated string annotation_spec_id = 9 [deprecated = true]; + * + * @return The count of annotationSpecId. + */ + @java.lang.Deprecated + public int getAnnotationSpecIdCount() { + return annotationSpecId_.size(); + } + /** + * + * + * 
+       * Output only. The annotation spec ids used for this evaluation.
+       * Deprecated .
+       *
+ * + * repeated string annotation_spec_id = 9 [deprecated = true]; + * + * @param index The index of the element to return. + * @return The annotationSpecId at the given index. + */ + @java.lang.Deprecated + public java.lang.String getAnnotationSpecId(int index) { + return annotationSpecId_.get(index); + } + /** + * + * + * 
+       * Output only. The annotation spec ids used for this evaluation.
+       * Deprecated .
+       *
+ * + * repeated string annotation_spec_id = 9 [deprecated = true]; + * + * @param index The index of the value to return. + * @return The bytes of the annotationSpecId at the given index. + */ + @java.lang.Deprecated + public com.google.protobuf.ByteString getAnnotationSpecIdBytes(int index) { + return annotationSpecId_.getByteString(index); + } + /** + * + * + * 
+       * Output only. The annotation spec ids used for this evaluation.
+       * Deprecated .
+       *
+ * + * repeated string annotation_spec_id = 9 [deprecated = true]; + * + * @param index The index to set the value at. + * @param value The annotationSpecId to set. + * @return This builder for chaining. + */ + @java.lang.Deprecated + public Builder setAnnotationSpecId(int index, java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + ensureAnnotationSpecIdIsMutable(); + annotationSpecId_.set(index, value); + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. The annotation spec ids used for this evaluation.
+       * Deprecated .
+       *
+ * + * repeated string annotation_spec_id = 9 [deprecated = true]; + * + * @param value The annotationSpecId to add. + * @return This builder for chaining. + */ + @java.lang.Deprecated + public Builder addAnnotationSpecId(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + ensureAnnotationSpecIdIsMutable(); + annotationSpecId_.add(value); + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. The annotation spec ids used for this evaluation.
+       * Deprecated .
+       *
+ * + * repeated string annotation_spec_id = 9 [deprecated = true]; + * + * @param values The annotationSpecId to add. + * @return This builder for chaining. + */ + @java.lang.Deprecated + public Builder addAllAnnotationSpecId(java.lang.Iterable values) { + ensureAnnotationSpecIdIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, annotationSpecId_); + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. The annotation spec ids used for this evaluation.
+       * Deprecated .
+       *
+ * + * repeated string annotation_spec_id = 9 [deprecated = true]; + * + * @return This builder for chaining. + */ + @java.lang.Deprecated + public Builder clearAnnotationSpecId() { + annotationSpecId_ = com.google.protobuf.LazyStringArrayList.EMPTY; + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. The annotation spec ids used for this evaluation.
+       * Deprecated .
+       *
+ * + * repeated string annotation_spec_id = 9 [deprecated = true]; + * + * @param value The bytes of the annotationSpecId to add. + * @return This builder for chaining. + */ + @java.lang.Deprecated + public Builder addAnnotationSpecIdBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + ensureAnnotationSpecIdIsMutable(); + annotationSpecId_.add(value); + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics) + private static final com.google.cloud.automl.v1beta1.TextSentimentProto + .TextSentimentEvaluationMetrics + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = + new com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics(); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TextSentimentEvaluationMetrics parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TextSentimentEvaluationMetrics(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } + } + + private static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_descriptor; + private static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_fieldAccessorTable; + private static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TextSentimentEvaluationMetrics_descriptor; + private static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TextSentimentEvaluationMetrics_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n0google/cloud/automl/v1beta1/text_senti" + + "ment.proto\022\033google.cloud.automl.v1beta1\032" + + "0google/cloud/automl/v1beta1/classificat" + + "ion.proto\032\034google/api/annotations.proto\"" + + ",\n\027TextSentimentAnnotation\022\021\n\tsentiment\030" + + "\001 \001(\005\"\305\002\n\036TextSentimentEvaluationMetrics" + + "\022\021\n\tprecision\030\001 \001(\002\022\016\n\006recall\030\002 \001(\002\022\020\n\010f" + + "1_score\030\003 \001(\002\022\033\n\023mean_absolute_error\030\004 \001" + + "(\002\022\032\n\022mean_squared_error\030\005 \001(\002\022\024\n\014linear" + + "_kappa\030\006 \001(\002\022\027\n\017quadratic_kappa\030\007 \001(\002\022f\n" + + "\020confusion_matrix\030\010 \001(\0132L.google.cloud.a" + + "utoml.v1beta1.ClassificationEvaluationMe" + + "trics.ConfusionMatrix\022\036\n\022annotation_spec" + + "_id\030\t \003(\tB\002\030\001B\267\001\n\037com.google.cloud.autom" + + "l.v1beta1B\022TextSentimentProtoZAgoogle.go" + + "lang.org/genproto/googleapis/cloud/autom" + + "l/v1beta1;automl\312\002\033Google\\Cloud\\AutoMl\\V" + + "1beta1\352\002\036Google::Cloud::AutoML::V1beta1b" + + "\006proto3" + }; + descriptor = + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.cloud.automl.v1beta1.ClassificationProto.getDescriptor(), + com.google.api.AnnotationsProto.getDescriptor(), + }); + internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_descriptor, + new java.lang.String[] { + "Sentiment", + }); + internal_static_google_cloud_automl_v1beta1_TextSentimentEvaluationMetrics_descriptor = + getDescriptor().getMessageTypes().get(1); + internal_static_google_cloud_automl_v1beta1_TextSentimentEvaluationMetrics_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TextSentimentEvaluationMetrics_descriptor, + new java.lang.String[] { + "Precision", + "Recall", + "F1Score", + "MeanAbsoluteError", + "MeanSquaredError", + "LinearKappa", + "QuadraticKappa", + "ConfusionMatrix", + "AnnotationSpecId", + }); + com.google.cloud.automl.v1beta1.ClassificationProto.getDescriptor(); + com.google.api.AnnotationsProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSnippet.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSnippet.java new file mode 100644 index 000000000..56caa8ad1 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSnippet.java @@ -0,0 +1,1007 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_items.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * A representation of a text snippet.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextSnippet} + */ +public final class TextSnippet extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TextSnippet) + TextSnippetOrBuilder { + private static final long serialVersionUID = 0L; + // Use TextSnippet.newBuilder() to construct. + private TextSnippet(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TextSnippet() { + content_ = ""; + mimeType_ = ""; + contentUri_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new TextSnippet(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TextSnippet( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + content_ = s; + break; + } + case 18: + { + java.lang.String s = input.readStringRequireUtf8(); + + mimeType_ = s; + break; + } + case 34: + { + java.lang.String s = input.readStringRequireUtf8(); + + contentUri_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_TextSnippet_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_TextSnippet_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextSnippet.class, + com.google.cloud.automl.v1beta1.TextSnippet.Builder.class); + } + + public static final int CONTENT_FIELD_NUMBER = 1; + private volatile java.lang.Object content_; + /** + * + * + * 
+   * Required. The content of the text snippet as a string. Up to 250000
+   * characters long.
+   *
+ * + * string content = 1; + * + * @return The content. + */ + public java.lang.String getContent() { + java.lang.Object ref = content_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + content_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. The content of the text snippet as a string. Up to 250000
+   * characters long.
+   *
+ * + * string content = 1; + * + * @return The bytes for content. + */ + public com.google.protobuf.ByteString getContentBytes() { + java.lang.Object ref = content_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + content_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int MIME_TYPE_FIELD_NUMBER = 2; + private volatile java.lang.Object mimeType_; + /** + * + * + * 
+   * Optional. The format of [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the only two allowed
+   * values are "text/html" and "text/plain". If left blank, the format is
+   * automatically determined from the type of the uploaded [content][google.cloud.automl.v1beta1.TextSnippet.content].
+   *
+ * + * string mime_type = 2; + * + * @return The mimeType. + */ + public java.lang.String getMimeType() { + java.lang.Object ref = mimeType_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + mimeType_ = s; + return s; + } + } + /** + * + * + * 
+   * Optional. The format of [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the only two allowed
+   * values are "text/html" and "text/plain". If left blank, the format is
+   * automatically determined from the type of the uploaded [content][google.cloud.automl.v1beta1.TextSnippet.content].
+   *
+ * + * string mime_type = 2; + * + * @return The bytes for mimeType. + */ + public com.google.protobuf.ByteString getMimeTypeBytes() { + java.lang.Object ref = mimeType_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + mimeType_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int CONTENT_URI_FIELD_NUMBER = 4; + private volatile java.lang.Object contentUri_; + /** + * + * + * 
+   * Output only. HTTP URI where you can download the content.
+   *
+ * + * string content_uri = 4; + * + * @return The contentUri. + */ + public java.lang.String getContentUri() { + java.lang.Object ref = contentUri_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + contentUri_ = s; + return s; + } + } + /** + * + * + * 
+   * Output only. HTTP URI where you can download the content.
+   *
+ * + * string content_uri = 4; + * + * @return The bytes for contentUri. + */ + public com.google.protobuf.ByteString getContentUriBytes() { + java.lang.Object ref = contentUri_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + contentUri_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getContentBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, content_); + } + if (!getMimeTypeBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 2, mimeType_); + } + if (!getContentUriBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 4, contentUri_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getContentBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, content_); + } + if (!getMimeTypeBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, mimeType_); + } + if (!getContentUriBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(4, contentUri_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TextSnippet)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TextSnippet other = + (com.google.cloud.automl.v1beta1.TextSnippet) obj; + + if (!getContent().equals(other.getContent())) return false; + if (!getMimeType().equals(other.getMimeType())) return false; + if (!getContentUri().equals(other.getContentUri())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + CONTENT_FIELD_NUMBER; + hash = (53 * hash) + getContent().hashCode(); + hash = (37 * hash) + MIME_TYPE_FIELD_NUMBER; + hash = (53 * hash) + getMimeType().hashCode(); + hash = (37 * hash) + CONTENT_URI_FIELD_NUMBER; + hash = (53 * hash) + getContentUri().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TextSnippet parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSnippet parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSnippet parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSnippet parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSnippet parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSnippet parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSnippet parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSnippet parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSnippet parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSnippet parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSnippet parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSnippet parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.TextSnippet prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * A representation of a text snippet.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextSnippet} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TextSnippet) + com.google.cloud.automl.v1beta1.TextSnippetOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_TextSnippet_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_TextSnippet_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextSnippet.class, + com.google.cloud.automl.v1beta1.TextSnippet.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TextSnippet.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + content_ = ""; + + mimeType_ = ""; + + contentUri_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_TextSnippet_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSnippet getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TextSnippet.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSnippet build() { + com.google.cloud.automl.v1beta1.TextSnippet result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSnippet buildPartial() { + com.google.cloud.automl.v1beta1.TextSnippet result = + new com.google.cloud.automl.v1beta1.TextSnippet(this); + result.content_ = content_; + result.mimeType_ = mimeType_; + result.contentUri_ = contentUri_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TextSnippet) { + return mergeFrom((com.google.cloud.automl.v1beta1.TextSnippet) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TextSnippet other) { + if (other == com.google.cloud.automl.v1beta1.TextSnippet.getDefaultInstance()) return this; + if (!other.getContent().isEmpty()) { + content_ = other.content_; + onChanged(); + } + if (!other.getMimeType().isEmpty()) { + mimeType_ = other.mimeType_; + onChanged(); + } + if (!other.getContentUri().isEmpty()) { + contentUri_ = other.contentUri_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TextSnippet parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.TextSnippet) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object content_ = ""; + /** + * + * + * 
+     * Required. The content of the text snippet as a string. Up to 250000
+     * characters long.
+     *
+ * + * string content = 1; + * + * @return The content. + */ + public java.lang.String getContent() { + java.lang.Object ref = content_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + content_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. The content of the text snippet as a string. Up to 250000
+     * characters long.
+     *
+ * + * string content = 1; + * + * @return The bytes for content. + */ + public com.google.protobuf.ByteString getContentBytes() { + java.lang.Object ref = content_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + content_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. The content of the text snippet as a string. Up to 250000
+     * characters long.
+     *
+ * + * string content = 1; + * + * @param value The content to set. + * @return This builder for chaining. + */ + public Builder setContent(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + content_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The content of the text snippet as a string. Up to 250000
+     * characters long.
+     *
+ * + * string content = 1; + * + * @return This builder for chaining. + */ + public Builder clearContent() { + + content_ = getDefaultInstance().getContent(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The content of the text snippet as a string. Up to 250000
+     * characters long.
+     *
+ * + * string content = 1; + * + * @param value The bytes for content to set. + * @return This builder for chaining. + */ + public Builder setContentBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + content_ = value; + onChanged(); + return this; + } + + private java.lang.Object mimeType_ = ""; + /** + * + * + * 
+     * Optional. The format of [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the only two allowed
+     * values are "text/html" and "text/plain". If left blank, the format is
+     * automatically determined from the type of the uploaded [content][google.cloud.automl.v1beta1.TextSnippet.content].
+     *
+ * + * string mime_type = 2; + * + * @return The mimeType. + */ + public java.lang.String getMimeType() { + java.lang.Object ref = mimeType_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + mimeType_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Optional. The format of [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the only two allowed
+     * values are "text/html" and "text/plain". If left blank, the format is
+     * automatically determined from the type of the uploaded [content][google.cloud.automl.v1beta1.TextSnippet.content].
+     *
+ * + * string mime_type = 2; + * + * @return The bytes for mimeType. + */ + public com.google.protobuf.ByteString getMimeTypeBytes() { + java.lang.Object ref = mimeType_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + mimeType_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Optional. The format of [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the only two allowed
+     * values are "text/html" and "text/plain". If left blank, the format is
+     * automatically determined from the type of the uploaded [content][google.cloud.automl.v1beta1.TextSnippet.content].
+     *
+ * + * string mime_type = 2; + * + * @param value The mimeType to set. + * @return This builder for chaining. + */ + public Builder setMimeType(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + mimeType_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Optional. The format of [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the only two allowed
+     * values are "text/html" and "text/plain". If left blank, the format is
+     * automatically determined from the type of the uploaded [content][google.cloud.automl.v1beta1.TextSnippet.content].
+     *
+ * + * string mime_type = 2; + * + * @return This builder for chaining. + */ + public Builder clearMimeType() { + + mimeType_ = getDefaultInstance().getMimeType(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Optional. The format of [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the only two allowed
+     * values are "text/html" and "text/plain". If left blank, the format is
+     * automatically determined from the type of the uploaded [content][google.cloud.automl.v1beta1.TextSnippet.content].
+     *
+ * + * string mime_type = 2; + * + * @param value The bytes for mimeType to set. + * @return This builder for chaining. + */ + public Builder setMimeTypeBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + mimeType_ = value; + onChanged(); + return this; + } + + private java.lang.Object contentUri_ = ""; + /** + * + * + * 
+     * Output only. HTTP URI where you can download the content.
+     *
+ * + * string content_uri = 4; + * + * @return The contentUri. + */ + public java.lang.String getContentUri() { + java.lang.Object ref = contentUri_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + contentUri_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Output only. HTTP URI where you can download the content.
+     *
+ * + * string content_uri = 4; + * + * @return The bytes for contentUri. + */ + public com.google.protobuf.ByteString getContentUriBytes() { + java.lang.Object ref = contentUri_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + contentUri_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Output only. HTTP URI where you can download the content.
+     *
+ * + * string content_uri = 4; + * + * @param value The contentUri to set. + * @return This builder for chaining. + */ + public Builder setContentUri(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + contentUri_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. HTTP URI where you can download the content.
+     *
+ * + * string content_uri = 4; + * + * @return This builder for chaining. + */ + public Builder clearContentUri() { + + contentUri_ = getDefaultInstance().getContentUri(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. HTTP URI where you can download the content.
+     *
+ * + * string content_uri = 4; + * + * @param value The bytes for contentUri to set. + * @return This builder for chaining. + */ + public Builder setContentUriBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + contentUri_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TextSnippet) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextSnippet) + private static final com.google.cloud.automl.v1beta1.TextSnippet DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TextSnippet(); + } + + public static com.google.cloud.automl.v1beta1.TextSnippet getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TextSnippet parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TextSnippet(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSnippet getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSnippetOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSnippetOrBuilder.java new file mode 100644 index 000000000..8dfa8873e --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSnippetOrBuilder.java @@ -0,0 +1,106 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_items.proto + +package com.google.cloud.automl.v1beta1; + +public interface TextSnippetOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextSnippet) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. The content of the text snippet as a string. Up to 250000
+   * characters long.
+   *
+ * + * string content = 1; + * + * @return The content. + */ + java.lang.String getContent(); + /** + * + * + * 
+   * Required. The content of the text snippet as a string. Up to 250000
+   * characters long.
+   *
+ * + * string content = 1; + * + * @return The bytes for content. + */ + com.google.protobuf.ByteString getContentBytes(); + + /** + * + * + * 
+   * Optional. The format of [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the only two allowed
+   * values are "text/html" and "text/plain". If left blank, the format is
+   * automatically determined from the type of the uploaded [content][google.cloud.automl.v1beta1.TextSnippet.content].
+   *
+ * + * string mime_type = 2; + * + * @return The mimeType. + */ + java.lang.String getMimeType(); + /** + * + * + * 
+   * Optional. The format of [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the only two allowed
+   * values are "text/html" and "text/plain". If left blank, the format is
+   * automatically determined from the type of the uploaded [content][google.cloud.automl.v1beta1.TextSnippet.content].
+   *
+ * + * string mime_type = 2; + * + * @return The bytes for mimeType. + */ + com.google.protobuf.ByteString getMimeTypeBytes(); + + /** + * + * + * 
+   * Output only. HTTP URI where you can download the content.
+   *
+ * + * string content_uri = 4; + * + * @return The contentUri. + */ + java.lang.String getContentUri(); + /** + * + * + * 
+   * Output only. HTTP URI where you can download the content.
+   *
+ * + * string content_uri = 4; + * + * @return The bytes for contentUri. + */ + com.google.protobuf.ByteString getContentUriBytes(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimeSegment.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimeSegment.java new file mode 100644 index 000000000..925a1a8ec --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimeSegment.java @@ -0,0 +1,1024 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/temporal.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * A time period inside of an example that has a time dimension (e.g. video).
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TimeSegment} + */ +public final class TimeSegment extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TimeSegment) + TimeSegmentOrBuilder { + private static final long serialVersionUID = 0L; + // Use TimeSegment.newBuilder() to construct. + private TimeSegment(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TimeSegment() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new TimeSegment(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TimeSegment( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + com.google.protobuf.Duration.Builder subBuilder = null; + if (startTimeOffset_ != null) { + subBuilder = startTimeOffset_.toBuilder(); + } + startTimeOffset_ = + input.readMessage(com.google.protobuf.Duration.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(startTimeOffset_); + startTimeOffset_ = subBuilder.buildPartial(); + } + + break; + } + case 18: + { + com.google.protobuf.Duration.Builder subBuilder = null; + if (endTimeOffset_ != null) { + subBuilder = endTimeOffset_.toBuilder(); + } + endTimeOffset_ = + input.readMessage(com.google.protobuf.Duration.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(endTimeOffset_); + endTimeOffset_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Temporal + .internal_static_google_cloud_automl_v1beta1_TimeSegment_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Temporal + .internal_static_google_cloud_automl_v1beta1_TimeSegment_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TimeSegment.class, + com.google.cloud.automl.v1beta1.TimeSegment.Builder.class); + } + + public static final int START_TIME_OFFSET_FIELD_NUMBER = 1; + private com.google.protobuf.Duration startTimeOffset_; + /** + * + * + * 
+   * Start of the time segment (inclusive), represented as the duration since
+   * the example start.
+   *
+ * + * .google.protobuf.Duration start_time_offset = 1; + * + * @return Whether the startTimeOffset field is set. + */ + public boolean hasStartTimeOffset() { + return startTimeOffset_ != null; + } + /** + * + * + * 
+   * Start of the time segment (inclusive), represented as the duration since
+   * the example start.
+   *
+ * + * .google.protobuf.Duration start_time_offset = 1; + * + * @return The startTimeOffset. + */ + public com.google.protobuf.Duration getStartTimeOffset() { + return startTimeOffset_ == null + ? com.google.protobuf.Duration.getDefaultInstance() + : startTimeOffset_; + } + /** + * + * + * 
+   * Start of the time segment (inclusive), represented as the duration since
+   * the example start.
+   *
+ * + * .google.protobuf.Duration start_time_offset = 1; + */ + public com.google.protobuf.DurationOrBuilder getStartTimeOffsetOrBuilder() { + return getStartTimeOffset(); + } + + public static final int END_TIME_OFFSET_FIELD_NUMBER = 2; + private com.google.protobuf.Duration endTimeOffset_; + /** + * + * + * 
+   * End of the time segment (exclusive), represented as the duration since the
+   * example start.
+   *
+ * + * .google.protobuf.Duration end_time_offset = 2; + * + * @return Whether the endTimeOffset field is set. + */ + public boolean hasEndTimeOffset() { + return endTimeOffset_ != null; + } + /** + * + * + * 
+   * End of the time segment (exclusive), represented as the duration since the
+   * example start.
+   *
+ * + * .google.protobuf.Duration end_time_offset = 2; + * + * @return The endTimeOffset. + */ + public com.google.protobuf.Duration getEndTimeOffset() { + return endTimeOffset_ == null + ? com.google.protobuf.Duration.getDefaultInstance() + : endTimeOffset_; + } + /** + * + * + * 
+   * End of the time segment (exclusive), represented as the duration since the
+   * example start.
+   *
+ * + * .google.protobuf.Duration end_time_offset = 2; + */ + public com.google.protobuf.DurationOrBuilder getEndTimeOffsetOrBuilder() { + return getEndTimeOffset(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (startTimeOffset_ != null) { + output.writeMessage(1, getStartTimeOffset()); + } + if (endTimeOffset_ != null) { + output.writeMessage(2, getEndTimeOffset()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (startTimeOffset_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getStartTimeOffset()); + } + if (endTimeOffset_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getEndTimeOffset()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TimeSegment)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TimeSegment other = + (com.google.cloud.automl.v1beta1.TimeSegment) obj; + + if (hasStartTimeOffset() != other.hasStartTimeOffset()) return false; + if (hasStartTimeOffset()) { + if (!getStartTimeOffset().equals(other.getStartTimeOffset())) return false; + } + if (hasEndTimeOffset() != other.hasEndTimeOffset()) return false; + if (hasEndTimeOffset()) { + if (!getEndTimeOffset().equals(other.getEndTimeOffset())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (hasStartTimeOffset()) { + hash = (37 * hash) + START_TIME_OFFSET_FIELD_NUMBER; + hash = (53 * hash) + getStartTimeOffset().hashCode(); + } + if (hasEndTimeOffset()) { + hash = (37 * hash) + END_TIME_OFFSET_FIELD_NUMBER; + hash = (53 * hash) + getEndTimeOffset().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TimeSegment parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TimeSegment parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimeSegment parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TimeSegment parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimeSegment parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TimeSegment parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimeSegment parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TimeSegment parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimeSegment parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TimeSegment parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimeSegment parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TimeSegment parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.TimeSegment prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * A time period inside of an example that has a time dimension (e.g. video).
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TimeSegment} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TimeSegment) + com.google.cloud.automl.v1beta1.TimeSegmentOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Temporal + .internal_static_google_cloud_automl_v1beta1_TimeSegment_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Temporal + .internal_static_google_cloud_automl_v1beta1_TimeSegment_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TimeSegment.class, + com.google.cloud.automl.v1beta1.TimeSegment.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TimeSegment.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (startTimeOffsetBuilder_ == null) { + startTimeOffset_ = null; + } else { + startTimeOffset_ = null; + startTimeOffsetBuilder_ = null; + } + if (endTimeOffsetBuilder_ == null) { + endTimeOffset_ = null; + } else { + endTimeOffset_ = null; + endTimeOffsetBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Temporal + .internal_static_google_cloud_automl_v1beta1_TimeSegment_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TimeSegment getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TimeSegment.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TimeSegment build() { + com.google.cloud.automl.v1beta1.TimeSegment result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TimeSegment buildPartial() { + com.google.cloud.automl.v1beta1.TimeSegment result = + new com.google.cloud.automl.v1beta1.TimeSegment(this); + if (startTimeOffsetBuilder_ == null) { + result.startTimeOffset_ = startTimeOffset_; + } else { + result.startTimeOffset_ = startTimeOffsetBuilder_.build(); + } + if (endTimeOffsetBuilder_ == null) { + result.endTimeOffset_ = endTimeOffset_; + } else { + result.endTimeOffset_ = endTimeOffsetBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TimeSegment) { + return mergeFrom((com.google.cloud.automl.v1beta1.TimeSegment) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TimeSegment other) { + if (other == com.google.cloud.automl.v1beta1.TimeSegment.getDefaultInstance()) return this; + if (other.hasStartTimeOffset()) { + mergeStartTimeOffset(other.getStartTimeOffset()); + } + if (other.hasEndTimeOffset()) { + mergeEndTimeOffset(other.getEndTimeOffset()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TimeSegment parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.TimeSegment) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private com.google.protobuf.Duration startTimeOffset_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Duration, + com.google.protobuf.Duration.Builder, + com.google.protobuf.DurationOrBuilder> + startTimeOffsetBuilder_; + /** + * + * + * 
+     * Start of the time segment (inclusive), represented as the duration since
+     * the example start.
+     *
+ * + * .google.protobuf.Duration start_time_offset = 1; + * + * @return Whether the startTimeOffset field is set. + */ + public boolean hasStartTimeOffset() { + return startTimeOffsetBuilder_ != null || startTimeOffset_ != null; + } + /** + * + * + * 
+     * Start of the time segment (inclusive), represented as the duration since
+     * the example start.
+     *
+ * + * .google.protobuf.Duration start_time_offset = 1; + * + * @return The startTimeOffset. + */ + public com.google.protobuf.Duration getStartTimeOffset() { + if (startTimeOffsetBuilder_ == null) { + return startTimeOffset_ == null + ? com.google.protobuf.Duration.getDefaultInstance() + : startTimeOffset_; + } else { + return startTimeOffsetBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Start of the time segment (inclusive), represented as the duration since
+     * the example start.
+     *
+ * + * .google.protobuf.Duration start_time_offset = 1; + */ + public Builder setStartTimeOffset(com.google.protobuf.Duration value) { + if (startTimeOffsetBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + startTimeOffset_ = value; + onChanged(); + } else { + startTimeOffsetBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Start of the time segment (inclusive), represented as the duration since
+     * the example start.
+     *
+ * + * .google.protobuf.Duration start_time_offset = 1; + */ + public Builder setStartTimeOffset(com.google.protobuf.Duration.Builder builderForValue) { + if (startTimeOffsetBuilder_ == null) { + startTimeOffset_ = builderForValue.build(); + onChanged(); + } else { + startTimeOffsetBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Start of the time segment (inclusive), represented as the duration since
+     * the example start.
+     *
+ * + * .google.protobuf.Duration start_time_offset = 1; + */ + public Builder mergeStartTimeOffset(com.google.protobuf.Duration value) { + if (startTimeOffsetBuilder_ == null) { + if (startTimeOffset_ != null) { + startTimeOffset_ = + com.google.protobuf.Duration.newBuilder(startTimeOffset_) + .mergeFrom(value) + .buildPartial(); + } else { + startTimeOffset_ = value; + } + onChanged(); + } else { + startTimeOffsetBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Start of the time segment (inclusive), represented as the duration since
+     * the example start.
+     *
+ * + * .google.protobuf.Duration start_time_offset = 1; + */ + public Builder clearStartTimeOffset() { + if (startTimeOffsetBuilder_ == null) { + startTimeOffset_ = null; + onChanged(); + } else { + startTimeOffset_ = null; + startTimeOffsetBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Start of the time segment (inclusive), represented as the duration since
+     * the example start.
+     *
+ * + * .google.protobuf.Duration start_time_offset = 1; + */ + public com.google.protobuf.Duration.Builder getStartTimeOffsetBuilder() { + + onChanged(); + return getStartTimeOffsetFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Start of the time segment (inclusive), represented as the duration since
+     * the example start.
+     *
+ * + * .google.protobuf.Duration start_time_offset = 1; + */ + public com.google.protobuf.DurationOrBuilder getStartTimeOffsetOrBuilder() { + if (startTimeOffsetBuilder_ != null) { + return startTimeOffsetBuilder_.getMessageOrBuilder(); + } else { + return startTimeOffset_ == null + ? com.google.protobuf.Duration.getDefaultInstance() + : startTimeOffset_; + } + } + /** + * + * + * 
+     * Start of the time segment (inclusive), represented as the duration since
+     * the example start.
+     *
+ * + * .google.protobuf.Duration start_time_offset = 1; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Duration, + com.google.protobuf.Duration.Builder, + com.google.protobuf.DurationOrBuilder> + getStartTimeOffsetFieldBuilder() { + if (startTimeOffsetBuilder_ == null) { + startTimeOffsetBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Duration, + com.google.protobuf.Duration.Builder, + com.google.protobuf.DurationOrBuilder>( + getStartTimeOffset(), getParentForChildren(), isClean()); + startTimeOffset_ = null; + } + return startTimeOffsetBuilder_; + } + + private com.google.protobuf.Duration endTimeOffset_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Duration, + com.google.protobuf.Duration.Builder, + com.google.protobuf.DurationOrBuilder> + endTimeOffsetBuilder_; + /** + * + * + * 
+     * End of the time segment (exclusive), represented as the duration since the
+     * example start.
+     *
+ * + * .google.protobuf.Duration end_time_offset = 2; + * + * @return Whether the endTimeOffset field is set. + */ + public boolean hasEndTimeOffset() { + return endTimeOffsetBuilder_ != null || endTimeOffset_ != null; + } + /** + * + * + * 
+     * End of the time segment (exclusive), represented as the duration since the
+     * example start.
+     *
+ * + * .google.protobuf.Duration end_time_offset = 2; + * + * @return The endTimeOffset. + */ + public com.google.protobuf.Duration getEndTimeOffset() { + if (endTimeOffsetBuilder_ == null) { + return endTimeOffset_ == null + ? com.google.protobuf.Duration.getDefaultInstance() + : endTimeOffset_; + } else { + return endTimeOffsetBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * End of the time segment (exclusive), represented as the duration since the
+     * example start.
+     *
+ * + * .google.protobuf.Duration end_time_offset = 2; + */ + public Builder setEndTimeOffset(com.google.protobuf.Duration value) { + if (endTimeOffsetBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + endTimeOffset_ = value; + onChanged(); + } else { + endTimeOffsetBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * End of the time segment (exclusive), represented as the duration since the
+     * example start.
+     *
+ * + * .google.protobuf.Duration end_time_offset = 2; + */ + public Builder setEndTimeOffset(com.google.protobuf.Duration.Builder builderForValue) { + if (endTimeOffsetBuilder_ == null) { + endTimeOffset_ = builderForValue.build(); + onChanged(); + } else { + endTimeOffsetBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * End of the time segment (exclusive), represented as the duration since the
+     * example start.
+     *
+ * + * .google.protobuf.Duration end_time_offset = 2; + */ + public Builder mergeEndTimeOffset(com.google.protobuf.Duration value) { + if (endTimeOffsetBuilder_ == null) { + if (endTimeOffset_ != null) { + endTimeOffset_ = + com.google.protobuf.Duration.newBuilder(endTimeOffset_) + .mergeFrom(value) + .buildPartial(); + } else { + endTimeOffset_ = value; + } + onChanged(); + } else { + endTimeOffsetBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * End of the time segment (exclusive), represented as the duration since the
+     * example start.
+     *
+ * + * .google.protobuf.Duration end_time_offset = 2; + */ + public Builder clearEndTimeOffset() { + if (endTimeOffsetBuilder_ == null) { + endTimeOffset_ = null; + onChanged(); + } else { + endTimeOffset_ = null; + endTimeOffsetBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * End of the time segment (exclusive), represented as the duration since the
+     * example start.
+     *
+ * + * .google.protobuf.Duration end_time_offset = 2; + */ + public com.google.protobuf.Duration.Builder getEndTimeOffsetBuilder() { + + onChanged(); + return getEndTimeOffsetFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * End of the time segment (exclusive), represented as the duration since the
+     * example start.
+     *
+ * + * .google.protobuf.Duration end_time_offset = 2; + */ + public com.google.protobuf.DurationOrBuilder getEndTimeOffsetOrBuilder() { + if (endTimeOffsetBuilder_ != null) { + return endTimeOffsetBuilder_.getMessageOrBuilder(); + } else { + return endTimeOffset_ == null + ? com.google.protobuf.Duration.getDefaultInstance() + : endTimeOffset_; + } + } + /** + * + * + * 
+     * End of the time segment (exclusive), represented as the duration since the
+     * example start.
+     *
+ * + * .google.protobuf.Duration end_time_offset = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Duration, + com.google.protobuf.Duration.Builder, + com.google.protobuf.DurationOrBuilder> + getEndTimeOffsetFieldBuilder() { + if (endTimeOffsetBuilder_ == null) { + endTimeOffsetBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Duration, + com.google.protobuf.Duration.Builder, + com.google.protobuf.DurationOrBuilder>( + getEndTimeOffset(), getParentForChildren(), isClean()); + endTimeOffset_ = null; + } + return endTimeOffsetBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TimeSegment) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TimeSegment) + private static final com.google.cloud.automl.v1beta1.TimeSegment DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TimeSegment(); + } + + public static com.google.cloud.automl.v1beta1.TimeSegment getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TimeSegment parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TimeSegment(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TimeSegment getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimeSegmentOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimeSegmentOrBuilder.java new file mode 100644 index 000000000..b174a798a --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimeSegmentOrBuilder.java @@ -0,0 +1,101 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/temporal.proto + +package com.google.cloud.automl.v1beta1; + +public interface TimeSegmentOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TimeSegment) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Start of the time segment (inclusive), represented as the duration since
+   * the example start.
+   *
+ * + * .google.protobuf.Duration start_time_offset = 1; + * + * @return Whether the startTimeOffset field is set. + */ + boolean hasStartTimeOffset(); + /** + * + * + * 
+   * Start of the time segment (inclusive), represented as the duration since
+   * the example start.
+   *
+ * + * .google.protobuf.Duration start_time_offset = 1; + * + * @return The startTimeOffset. + */ + com.google.protobuf.Duration getStartTimeOffset(); + /** + * + * + * 
+   * Start of the time segment (inclusive), represented as the duration since
+   * the example start.
+   *
+ * + * .google.protobuf.Duration start_time_offset = 1; + */ + com.google.protobuf.DurationOrBuilder getStartTimeOffsetOrBuilder(); + + /** + * + * + * 
+   * End of the time segment (exclusive), represented as the duration since the
+   * example start.
+   *
+ * + * .google.protobuf.Duration end_time_offset = 2; + * + * @return Whether the endTimeOffset field is set. + */ + boolean hasEndTimeOffset(); + /** + * + * + * 
+   * End of the time segment (exclusive), represented as the duration since the
+   * example start.
+   *
+ * + * .google.protobuf.Duration end_time_offset = 2; + * + * @return The endTimeOffset. + */ + com.google.protobuf.Duration getEndTimeOffset(); + /** + * + * + * 
+   * End of the time segment (exclusive), represented as the duration since the
+   * example start.
+   *
+ * + * .google.protobuf.Duration end_time_offset = 2; + */ + com.google.protobuf.DurationOrBuilder getEndTimeOffsetOrBuilder(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimestampStats.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimestampStats.java new file mode 100644 index 000000000..e4dd3197f --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimestampStats.java @@ -0,0 +1,1705 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_stats.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * The data statistics of a series of TIMESTAMP values.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TimestampStats} + */ +public final class TimestampStats extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TimestampStats) + TimestampStatsOrBuilder { + private static final long serialVersionUID = 0L; + // Use TimestampStats.newBuilder() to construct. + private TimestampStats(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TimestampStats() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new TimestampStats(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TimestampStats( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + granularStats_ = + com.google.protobuf.MapField.newMapField( + GranularStatsDefaultEntryHolder.defaultEntry); + mutable_bitField0_ |= 0x00000001; + } + com.google.protobuf.MapEntry< + java.lang.String, + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + granularStats__ = + input.readMessage( + GranularStatsDefaultEntryHolder.defaultEntry.getParserForType(), + extensionRegistry); + granularStats_ + .getMutableMap() + .put(granularStats__.getKey(), granularStats__.getValue()); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_TimestampStats_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + @java.lang.Override + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 1: + return internalGetGranularStats(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_TimestampStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TimestampStats.class, + com.google.cloud.automl.v1beta1.TimestampStats.Builder.class); + } + + public interface GranularStatsOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TimestampStats.GranularStats) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+     * A map from granularity key to example count for that key.
+     * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+     *
+ * + * map<int32, int64> buckets = 1; + */ + int getBucketsCount(); + /** + * + * + * 
+     * A map from granularity key to example count for that key.
+     * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+     *
+ * + * map<int32, int64> buckets = 1; + */ + boolean containsBuckets(int key); + /** Use {@link #getBucketsMap()} instead. */ + @java.lang.Deprecated + java.util.Map getBuckets(); + /** + * + * + * 
+     * A map from granularity key to example count for that key.
+     * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+     *
+ * + * map<int32, int64> buckets = 1; + */ + java.util.Map getBucketsMap(); + /** + * + * + * 
+     * A map from granularity key to example count for that key.
+     * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+     *
+ * + * map<int32, int64> buckets = 1; + */ + long getBucketsOrDefault(int key, long defaultValue); + /** + * + * + * 
+     * A map from granularity key to example count for that key.
+     * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+     *
+ * + * map<int32, int64> buckets = 1; + */ + long getBucketsOrThrow(int key); + } + /** + * + * + * 
+   * Stats split by a defined in context granularity.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TimestampStats.GranularStats} + */ + public static final class GranularStats extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TimestampStats.GranularStats) + GranularStatsOrBuilder { + private static final long serialVersionUID = 0L; + // Use GranularStats.newBuilder() to construct. + private GranularStats(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private GranularStats() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new GranularStats(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private GranularStats( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + buckets_ = + com.google.protobuf.MapField.newMapField( + BucketsDefaultEntryHolder.defaultEntry); + mutable_bitField0_ |= 0x00000001; + } + com.google.protobuf.MapEntry buckets__ = + input.readMessage( + BucketsDefaultEntryHolder.defaultEntry.getParserForType(), + extensionRegistry); + buckets_.getMutableMap().put(buckets__.getKey(), buckets__.getValue()); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + @java.lang.Override + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 1: + return internalGetBuckets(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats.class, + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats.Builder.class); + } + + public static final int BUCKETS_FIELD_NUMBER = 1; + + private static final class BucketsDefaultEntryHolder { + static final com.google.protobuf.MapEntry defaultEntry = + com.google.protobuf.MapEntry.newDefaultInstance( + com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_BucketsEntry_descriptor, + com.google.protobuf.WireFormat.FieldType.INT32, + 0, + com.google.protobuf.WireFormat.FieldType.INT64, + 0L); + } + + private com.google.protobuf.MapField buckets_; + + private com.google.protobuf.MapField internalGetBuckets() { + if (buckets_ == null) { + return com.google.protobuf.MapField.emptyMapField(BucketsDefaultEntryHolder.defaultEntry); + } + return buckets_; + } + + public int getBucketsCount() { + return internalGetBuckets().getMap().size(); + } + /** + * + * + * 
+     * A map from granularity key to example count for that key.
+     * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+     *
+ * + * map<int32, int64> buckets = 1; + */ + public boolean containsBuckets(int key) { + + return internalGetBuckets().getMap().containsKey(key); + } + /** Use {@link #getBucketsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map getBuckets() { + return getBucketsMap(); + } + /** + * + * + * 
+     * A map from granularity key to example count for that key.
+     * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+     *
+ * + * map<int32, int64> buckets = 1; + */ + public java.util.Map getBucketsMap() { + return internalGetBuckets().getMap(); + } + /** + * + * + * 
+     * A map from granularity key to example count for that key.
+     * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+     *
+ * + * map<int32, int64> buckets = 1; + */ + public long getBucketsOrDefault(int key, long defaultValue) { + + java.util.Map map = internalGetBuckets().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+     * A map from granularity key to example count for that key.
+     * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+     *
+ * + * map<int32, int64> buckets = 1; + */ + public long getBucketsOrThrow(int key) { + + java.util.Map map = internalGetBuckets().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + com.google.protobuf.GeneratedMessageV3.serializeIntegerMapTo( + output, internalGetBuckets(), BucketsDefaultEntryHolder.defaultEntry, 1); + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + for (java.util.Map.Entry entry : + internalGetBuckets().getMap().entrySet()) { + com.google.protobuf.MapEntry buckets__ = + BucketsDefaultEntryHolder.defaultEntry + .newBuilderForType() + .setKey(entry.getKey()) + .setValue(entry.getValue()) + .build(); + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, buckets__); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TimestampStats.GranularStats)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats other = + (com.google.cloud.automl.v1beta1.TimestampStats.GranularStats) obj; + + if (!internalGetBuckets().equals(other.internalGetBuckets())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (!internalGetBuckets().getMap().isEmpty()) { + hash = (37 * hash) + BUCKETS_FIELD_NUMBER; + hash = (53 * hash) + internalGetBuckets().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TimestampStats.GranularStats parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats.GranularStats parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats.GranularStats parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats.GranularStats parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats.GranularStats parseFrom( + byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats.GranularStats parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats.GranularStats parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats.GranularStats parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats.GranularStats parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats.GranularStats parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats.GranularStats parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats.GranularStats parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType( + com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+     * Stats split by a defined in context granularity.
+     *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TimestampStats.GranularStats} + */ + public static final class Builder + extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TimestampStats.GranularStats) + com.google.cloud.automl.v1beta1.TimestampStats.GranularStatsOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 1: + return internalGetBuckets(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMutableMapField(int number) { + switch (number) { + case 1: + return internalGetMutableBuckets(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats.class, + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TimestampStats.GranularStats.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + internalGetMutableBuckets().clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TimestampStats.GranularStats + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TimestampStats.GranularStats.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TimestampStats.GranularStats build() { + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TimestampStats.GranularStats buildPartial() { + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats result = + new com.google.cloud.automl.v1beta1.TimestampStats.GranularStats(this); + int from_bitField0_ = bitField0_; + result.buckets_ = internalGetBuckets(); + result.buckets_.makeImmutable(); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, + int index, + java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TimestampStats.GranularStats) { + return mergeFrom((com.google.cloud.automl.v1beta1.TimestampStats.GranularStats) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TimestampStats.GranularStats other) { + if (other + == com.google.cloud.automl.v1beta1.TimestampStats.GranularStats.getDefaultInstance()) + return this; + internalGetMutableBuckets().mergeFrom(other.internalGetBuckets()); + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TimestampStats.GranularStats) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private com.google.protobuf.MapField buckets_; + + private com.google.protobuf.MapField internalGetBuckets() { + if (buckets_ == null) { + return com.google.protobuf.MapField.emptyMapField(BucketsDefaultEntryHolder.defaultEntry); + } + return buckets_; + } + + private com.google.protobuf.MapField + internalGetMutableBuckets() { + onChanged(); + ; + if (buckets_ == null) { + buckets_ = + com.google.protobuf.MapField.newMapField(BucketsDefaultEntryHolder.defaultEntry); + } + if (!buckets_.isMutable()) { + buckets_ = buckets_.copy(); + } + return buckets_; + } + + public int getBucketsCount() { + return internalGetBuckets().getMap().size(); + } + /** + * + * + * 
+       * A map from granularity key to example count for that key.
+       * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+       *
+ * + * map<int32, int64> buckets = 1; + */ + public boolean containsBuckets(int key) { + + return internalGetBuckets().getMap().containsKey(key); + } + /** Use {@link #getBucketsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map getBuckets() { + return getBucketsMap(); + } + /** + * + * + * 
+       * A map from granularity key to example count for that key.
+       * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+       *
+ * + * map<int32, int64> buckets = 1; + */ + public java.util.Map getBucketsMap() { + return internalGetBuckets().getMap(); + } + /** + * + * + * 
+       * A map from granularity key to example count for that key.
+       * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+       *
+ * + * map<int32, int64> buckets = 1; + */ + public long getBucketsOrDefault(int key, long defaultValue) { + + java.util.Map map = internalGetBuckets().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+       * A map from granularity key to example count for that key.
+       * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+       *
+ * + * map<int32, int64> buckets = 1; + */ + public long getBucketsOrThrow(int key) { + + java.util.Map map = internalGetBuckets().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + public Builder clearBuckets() { + internalGetMutableBuckets().getMutableMap().clear(); + return this; + } + /** + * + * + * 
+       * A map from granularity key to example count for that key.
+       * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+       *
+ * + * map<int32, int64> buckets = 1; + */ + public Builder removeBuckets(int key) { + + internalGetMutableBuckets().getMutableMap().remove(key); + return this; + } + /** Use alternate mutation accessors instead. */ + @java.lang.Deprecated + public java.util.Map getMutableBuckets() { + return internalGetMutableBuckets().getMutableMap(); + } + /** + * + * + * 
+       * A map from granularity key to example count for that key.
+       * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+       *
+ * + * map<int32, int64> buckets = 1; + */ + public Builder putBuckets(int key, long value) { + + internalGetMutableBuckets().getMutableMap().put(key, value); + return this; + } + /** + * + * + * 
+       * A map from granularity key to example count for that key.
+       * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+       *
+ * + * map<int32, int64> buckets = 1; + */ + public Builder putAllBuckets(java.util.Map values) { + internalGetMutableBuckets().getMutableMap().putAll(values); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TimestampStats.GranularStats) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TimestampStats.GranularStats) + private static final com.google.cloud.automl.v1beta1.TimestampStats.GranularStats + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TimestampStats.GranularStats(); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats.GranularStats + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public GranularStats parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new GranularStats(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TimestampStats.GranularStats + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } + } + + public static final int GRANULAR_STATS_FIELD_NUMBER = 1; + + private static final class GranularStatsDefaultEntryHolder { + static final com.google.protobuf.MapEntry< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + defaultEntry = + com.google.protobuf.MapEntry + . + newDefaultInstance( + com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStatsEntry_descriptor, + com.google.protobuf.WireFormat.FieldType.STRING, + "", + com.google.protobuf.WireFormat.FieldType.MESSAGE, + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats + .getDefaultInstance()); + } + + private com.google.protobuf.MapField< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + granularStats_; + + private com.google.protobuf.MapField< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + internalGetGranularStats() { + if (granularStats_ == null) { + return com.google.protobuf.MapField.emptyMapField( + GranularStatsDefaultEntryHolder.defaultEntry); + } + return granularStats_; + } + + public int getGranularStatsCount() { + return internalGetGranularStats().getMap().size(); + } + /** + * + * + * 
+   * The string key is the pre-defined granularity. Currently supported:
+   * hour_of_day, day_of_week, month_of_year.
+   * Granularities finer that the granularity of timestamp data are not
+   * populated (e.g. if timestamps are at day granularity, then hour_of_day
+   * is not populated).
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + public boolean containsGranularStats(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetGranularStats().getMap().containsKey(key); + } + /** Use {@link #getGranularStatsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + getGranularStats() { + return getGranularStatsMap(); + } + /** + * + * + * 
+   * The string key is the pre-defined granularity. Currently supported:
+   * hour_of_day, day_of_week, month_of_year.
+   * Granularities finer that the granularity of timestamp data are not
+   * populated (e.g. if timestamps are at day granularity, then hour_of_day
+   * is not populated).
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + public java.util.Map< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + getGranularStatsMap() { + return internalGetGranularStats().getMap(); + } + /** + * + * + * 
+   * The string key is the pre-defined granularity. Currently supported:
+   * hour_of_day, day_of_week, month_of_year.
+   * Granularities finer that the granularity of timestamp data are not
+   * populated (e.g. if timestamps are at day granularity, then hour_of_day
+   * is not populated).
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.TimestampStats.GranularStats getGranularStatsOrDefault( + java.lang.String key, + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map + map = internalGetGranularStats().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+   * The string key is the pre-defined granularity. Currently supported:
+   * hour_of_day, day_of_week, month_of_year.
+   * Granularities finer that the granularity of timestamp data are not
+   * populated (e.g. if timestamps are at day granularity, then hour_of_day
+   * is not populated).
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.TimestampStats.GranularStats getGranularStatsOrThrow( + java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map + map = internalGetGranularStats().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + com.google.protobuf.GeneratedMessageV3.serializeStringMapTo( + output, internalGetGranularStats(), GranularStatsDefaultEntryHolder.defaultEntry, 1); + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + for (java.util.Map.Entry< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + entry : internalGetGranularStats().getMap().entrySet()) { + com.google.protobuf.MapEntry< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + granularStats__ = + GranularStatsDefaultEntryHolder.defaultEntry + .newBuilderForType() + .setKey(entry.getKey()) + .setValue(entry.getValue()) + .build(); + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, granularStats__); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TimestampStats)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TimestampStats other = + (com.google.cloud.automl.v1beta1.TimestampStats) obj; + + if (!internalGetGranularStats().equals(other.internalGetGranularStats())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (!internalGetGranularStats().getMap().isEmpty()) { + hash = (37 * hash) + GRANULAR_STATS_FIELD_NUMBER; + hash = (53 * hash) + internalGetGranularStats().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TimestampStats parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.TimestampStats prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * The data statistics of a series of TIMESTAMP values.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TimestampStats} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TimestampStats) + com.google.cloud.automl.v1beta1.TimestampStatsOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_TimestampStats_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 1: + return internalGetGranularStats(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMutableMapField(int number) { + switch (number) { + case 1: + return internalGetMutableGranularStats(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_TimestampStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TimestampStats.class, + com.google.cloud.automl.v1beta1.TimestampStats.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TimestampStats.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + internalGetMutableGranularStats().clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_TimestampStats_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TimestampStats getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TimestampStats.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TimestampStats build() { + com.google.cloud.automl.v1beta1.TimestampStats result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TimestampStats buildPartial() { + com.google.cloud.automl.v1beta1.TimestampStats result = + new com.google.cloud.automl.v1beta1.TimestampStats(this); + int from_bitField0_ = bitField0_; + result.granularStats_ = internalGetGranularStats(); + result.granularStats_.makeImmutable(); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TimestampStats) { + return mergeFrom((com.google.cloud.automl.v1beta1.TimestampStats) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TimestampStats other) { + if (other == com.google.cloud.automl.v1beta1.TimestampStats.getDefaultInstance()) return this; + internalGetMutableGranularStats().mergeFrom(other.internalGetGranularStats()); + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TimestampStats parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.TimestampStats) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private com.google.protobuf.MapField< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + granularStats_; + + private com.google.protobuf.MapField< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + internalGetGranularStats() { + if (granularStats_ == null) { + return com.google.protobuf.MapField.emptyMapField( + GranularStatsDefaultEntryHolder.defaultEntry); + } + return granularStats_; + } + + private com.google.protobuf.MapField< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + internalGetMutableGranularStats() { + onChanged(); + ; + if (granularStats_ == null) { + granularStats_ = + com.google.protobuf.MapField.newMapField(GranularStatsDefaultEntryHolder.defaultEntry); + } + if (!granularStats_.isMutable()) { + granularStats_ = granularStats_.copy(); + } + return granularStats_; + } + + public int getGranularStatsCount() { + return internalGetGranularStats().getMap().size(); + } + /** + * + * + * 
+     * The string key is the pre-defined granularity. Currently supported:
+     * hour_of_day, day_of_week, month_of_year.
+     * Granularities finer that the granularity of timestamp data are not
+     * populated (e.g. if timestamps are at day granularity, then hour_of_day
+     * is not populated).
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + public boolean containsGranularStats(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetGranularStats().getMap().containsKey(key); + } + /** Use {@link #getGranularStatsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + getGranularStats() { + return getGranularStatsMap(); + } + /** + * + * + * 
+     * The string key is the pre-defined granularity. Currently supported:
+     * hour_of_day, day_of_week, month_of_year.
+     * Granularities finer that the granularity of timestamp data are not
+     * populated (e.g. if timestamps are at day granularity, then hour_of_day
+     * is not populated).
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + public java.util.Map< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + getGranularStatsMap() { + return internalGetGranularStats().getMap(); + } + /** + * + * + * 
+     * The string key is the pre-defined granularity. Currently supported:
+     * hour_of_day, day_of_week, month_of_year.
+     * Granularities finer that the granularity of timestamp data are not
+     * populated (e.g. if timestamps are at day granularity, then hour_of_day
+     * is not populated).
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.TimestampStats.GranularStats getGranularStatsOrDefault( + java.lang.String key, + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map + map = internalGetGranularStats().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+     * The string key is the pre-defined granularity. Currently supported:
+     * hour_of_day, day_of_week, month_of_year.
+     * Granularities finer that the granularity of timestamp data are not
+     * populated (e.g. if timestamps are at day granularity, then hour_of_day
+     * is not populated).
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.TimestampStats.GranularStats getGranularStatsOrThrow( + java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map + map = internalGetGranularStats().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + public Builder clearGranularStats() { + internalGetMutableGranularStats().getMutableMap().clear(); + return this; + } + /** + * + * + * 
+     * The string key is the pre-defined granularity. Currently supported:
+     * hour_of_day, day_of_week, month_of_year.
+     * Granularities finer that the granularity of timestamp data are not
+     * populated (e.g. if timestamps are at day granularity, then hour_of_day
+     * is not populated).
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + public Builder removeGranularStats(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableGranularStats().getMutableMap().remove(key); + return this; + } + /** Use alternate mutation accessors instead. */ + @java.lang.Deprecated + public java.util.Map< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + getMutableGranularStats() { + return internalGetMutableGranularStats().getMutableMap(); + } + /** + * + * + * 
+     * The string key is the pre-defined granularity. Currently supported:
+     * hour_of_day, day_of_week, month_of_year.
+     * Granularities finer that the granularity of timestamp data are not
+     * populated (e.g. if timestamps are at day granularity, then hour_of_day
+     * is not populated).
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + public Builder putGranularStats( + java.lang.String key, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats value) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + if (value == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableGranularStats().getMutableMap().put(key, value); + return this; + } + /** + * + * + * 
+     * The string key is the pre-defined granularity. Currently supported:
+     * hour_of_day, day_of_week, month_of_year.
+     * Granularities finer that the granularity of timestamp data are not
+     * populated (e.g. if timestamps are at day granularity, then hour_of_day
+     * is not populated).
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + public Builder putAllGranularStats( + java.util.Map< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + values) { + internalGetMutableGranularStats().getMutableMap().putAll(values); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TimestampStats) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TimestampStats) + private static final com.google.cloud.automl.v1beta1.TimestampStats DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TimestampStats(); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TimestampStats parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TimestampStats(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TimestampStats getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimestampStatsOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimestampStatsOrBuilder.java new file mode 100644 index 000000000..2501d2593 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimestampStatsOrBuilder.java @@ -0,0 +1,114 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_stats.proto + +package com.google.cloud.automl.v1beta1; + +public interface TimestampStatsOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TimestampStats) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * The string key is the pre-defined granularity. Currently supported:
+   * hour_of_day, day_of_week, month_of_year.
+   * Granularities finer that the granularity of timestamp data are not
+   * populated (e.g. if timestamps are at day granularity, then hour_of_day
+   * is not populated).
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + int getGranularStatsCount(); + /** + * + * + * 
+   * The string key is the pre-defined granularity. Currently supported:
+   * hour_of_day, day_of_week, month_of_year.
+   * Granularities finer that the granularity of timestamp data are not
+   * populated (e.g. if timestamps are at day granularity, then hour_of_day
+   * is not populated).
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + boolean containsGranularStats(java.lang.String key); + /** Use {@link #getGranularStatsMap()} instead. */ + @java.lang.Deprecated + java.util.Map + getGranularStats(); + /** + * + * + * 
+   * The string key is the pre-defined granularity. Currently supported:
+   * hour_of_day, day_of_week, month_of_year.
+   * Granularities finer that the granularity of timestamp data are not
+   * populated (e.g. if timestamps are at day granularity, then hour_of_day
+   * is not populated).
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + java.util.Map + getGranularStatsMap(); + /** + * + * + * 
+   * The string key is the pre-defined granularity. Currently supported:
+   * hour_of_day, day_of_week, month_of_year.
+   * Granularities finer that the granularity of timestamp data are not
+   * populated (e.g. if timestamps are at day granularity, then hour_of_day
+   * is not populated).
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats getGranularStatsOrDefault( + java.lang.String key, + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats defaultValue); + /** + * + * + * 
+   * The string key is the pre-defined granularity. Currently supported:
+   * hour_of_day, day_of_week, month_of_year.
+   * Granularities finer that the granularity of timestamp data are not
+   * populated (e.g. if timestamps are at day granularity, then hour_of_day
+   * is not populated).
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats getGranularStatsOrThrow( + java.lang.String key); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationAnnotation.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationAnnotation.java new file mode 100644 index 000000000..bd9e2285f --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationAnnotation.java @@ -0,0 +1,732 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/translation.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Annotation details specific to translation.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TranslationAnnotation} + */ +public final class TranslationAnnotation extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TranslationAnnotation) + TranslationAnnotationOrBuilder { + private static final long serialVersionUID = 0L; + // Use TranslationAnnotation.newBuilder() to construct. + private TranslationAnnotation(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TranslationAnnotation() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new TranslationAnnotation(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TranslationAnnotation( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + com.google.cloud.automl.v1beta1.TextSnippet.Builder subBuilder = null; + if (translatedContent_ != null) { + subBuilder = translatedContent_.toBuilder(); + } + translatedContent_ = + input.readMessage( + com.google.cloud.automl.v1beta1.TextSnippet.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(translatedContent_); + translatedContent_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TranslationProto + .internal_static_google_cloud_automl_v1beta1_TranslationAnnotation_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TranslationProto + .internal_static_google_cloud_automl_v1beta1_TranslationAnnotation_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TranslationAnnotation.class, + com.google.cloud.automl.v1beta1.TranslationAnnotation.Builder.class); + } + + public static final int TRANSLATED_CONTENT_FIELD_NUMBER = 1; + private com.google.cloud.automl.v1beta1.TextSnippet translatedContent_; + /** + * + * + * 
+   * Output only . The translated content.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSnippet translated_content = 1; + * + * @return Whether the translatedContent field is set. + */ + public boolean hasTranslatedContent() { + return translatedContent_ != null; + } + /** + * + * + * 
+   * Output only . The translated content.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSnippet translated_content = 1; + * + * @return The translatedContent. + */ + public com.google.cloud.automl.v1beta1.TextSnippet getTranslatedContent() { + return translatedContent_ == null + ? com.google.cloud.automl.v1beta1.TextSnippet.getDefaultInstance() + : translatedContent_; + } + /** + * + * + * 
+   * Output only . The translated content.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSnippet translated_content = 1; + */ + public com.google.cloud.automl.v1beta1.TextSnippetOrBuilder getTranslatedContentOrBuilder() { + return getTranslatedContent(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (translatedContent_ != null) { + output.writeMessage(1, getTranslatedContent()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (translatedContent_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getTranslatedContent()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TranslationAnnotation)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TranslationAnnotation other = + (com.google.cloud.automl.v1beta1.TranslationAnnotation) obj; + + if (hasTranslatedContent() != other.hasTranslatedContent()) return false; + if (hasTranslatedContent()) { + if (!getTranslatedContent().equals(other.getTranslatedContent())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (hasTranslatedContent()) { + hash = (37 * hash) + TRANSLATED_CONTENT_FIELD_NUMBER; + hash = (53 * hash) + getTranslatedContent().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TranslationAnnotation parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TranslationAnnotation parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TranslationAnnotation parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TranslationAnnotation parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TranslationAnnotation parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TranslationAnnotation parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TranslationAnnotation parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TranslationAnnotation parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TranslationAnnotation parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TranslationAnnotation parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TranslationAnnotation parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TranslationAnnotation parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TranslationAnnotation prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Annotation details specific to translation.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TranslationAnnotation} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TranslationAnnotation) + com.google.cloud.automl.v1beta1.TranslationAnnotationOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TranslationProto + .internal_static_google_cloud_automl_v1beta1_TranslationAnnotation_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TranslationProto + .internal_static_google_cloud_automl_v1beta1_TranslationAnnotation_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TranslationAnnotation.class, + com.google.cloud.automl.v1beta1.TranslationAnnotation.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TranslationAnnotation.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (translatedContentBuilder_ == null) { + translatedContent_ = null; + } else { + translatedContent_ = null; + translatedContentBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TranslationProto + .internal_static_google_cloud_automl_v1beta1_TranslationAnnotation_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TranslationAnnotation getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TranslationAnnotation.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TranslationAnnotation build() { + com.google.cloud.automl.v1beta1.TranslationAnnotation result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TranslationAnnotation buildPartial() { + com.google.cloud.automl.v1beta1.TranslationAnnotation result = + new com.google.cloud.automl.v1beta1.TranslationAnnotation(this); + if (translatedContentBuilder_ == null) { + result.translatedContent_ = translatedContent_; + } else { + result.translatedContent_ = translatedContentBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TranslationAnnotation) { + return mergeFrom((com.google.cloud.automl.v1beta1.TranslationAnnotation) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TranslationAnnotation other) { + if (other == com.google.cloud.automl.v1beta1.TranslationAnnotation.getDefaultInstance()) + return this; + if (other.hasTranslatedContent()) { + mergeTranslatedContent(other.getTranslatedContent()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TranslationAnnotation parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TranslationAnnotation) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private com.google.cloud.automl.v1beta1.TextSnippet translatedContent_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSnippet, + com.google.cloud.automl.v1beta1.TextSnippet.Builder, + com.google.cloud.automl.v1beta1.TextSnippetOrBuilder> + translatedContentBuilder_; + /** + * + * + * 
+     * Output only . The translated content.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSnippet translated_content = 1; + * + * @return Whether the translatedContent field is set. + */ + public boolean hasTranslatedContent() { + return translatedContentBuilder_ != null || translatedContent_ != null; + } + /** + * + * + * 
+     * Output only . The translated content.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSnippet translated_content = 1; + * + * @return The translatedContent. + */ + public com.google.cloud.automl.v1beta1.TextSnippet getTranslatedContent() { + if (translatedContentBuilder_ == null) { + return translatedContent_ == null + ? com.google.cloud.automl.v1beta1.TextSnippet.getDefaultInstance() + : translatedContent_; + } else { + return translatedContentBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Output only . The translated content.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSnippet translated_content = 1; + */ + public Builder setTranslatedContent(com.google.cloud.automl.v1beta1.TextSnippet value) { + if (translatedContentBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + translatedContent_ = value; + onChanged(); + } else { + translatedContentBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Output only . The translated content.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSnippet translated_content = 1; + */ + public Builder setTranslatedContent( + com.google.cloud.automl.v1beta1.TextSnippet.Builder builderForValue) { + if (translatedContentBuilder_ == null) { + translatedContent_ = builderForValue.build(); + onChanged(); + } else { + translatedContentBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Output only . The translated content.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSnippet translated_content = 1; + */ + public Builder mergeTranslatedContent(com.google.cloud.automl.v1beta1.TextSnippet value) { + if (translatedContentBuilder_ == null) { + if (translatedContent_ != null) { + translatedContent_ = + com.google.cloud.automl.v1beta1.TextSnippet.newBuilder(translatedContent_) + .mergeFrom(value) + .buildPartial(); + } else { + translatedContent_ = value; + } + onChanged(); + } else { + translatedContentBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Output only . The translated content.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSnippet translated_content = 1; + */ + public Builder clearTranslatedContent() { + if (translatedContentBuilder_ == null) { + translatedContent_ = null; + onChanged(); + } else { + translatedContent_ = null; + translatedContentBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Output only . The translated content.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSnippet translated_content = 1; + */ + public com.google.cloud.automl.v1beta1.TextSnippet.Builder getTranslatedContentBuilder() { + + onChanged(); + return getTranslatedContentFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Output only . The translated content.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSnippet translated_content = 1; + */ + public com.google.cloud.automl.v1beta1.TextSnippetOrBuilder getTranslatedContentOrBuilder() { + if (translatedContentBuilder_ != null) { + return translatedContentBuilder_.getMessageOrBuilder(); + } else { + return translatedContent_ == null + ? com.google.cloud.automl.v1beta1.TextSnippet.getDefaultInstance() + : translatedContent_; + } + } + /** + * + * + * 
+     * Output only . The translated content.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSnippet translated_content = 1; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSnippet, + com.google.cloud.automl.v1beta1.TextSnippet.Builder, + com.google.cloud.automl.v1beta1.TextSnippetOrBuilder> + getTranslatedContentFieldBuilder() { + if (translatedContentBuilder_ == null) { + translatedContentBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSnippet, + com.google.cloud.automl.v1beta1.TextSnippet.Builder, + com.google.cloud.automl.v1beta1.TextSnippetOrBuilder>( + getTranslatedContent(), getParentForChildren(), isClean()); + translatedContent_ = null; + } + return translatedContentBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TranslationAnnotation) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TranslationAnnotation) + private static final com.google.cloud.automl.v1beta1.TranslationAnnotation DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TranslationAnnotation(); + } + + public static com.google.cloud.automl.v1beta1.TranslationAnnotation getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TranslationAnnotation parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TranslationAnnotation(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TranslationAnnotation getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationAnnotationOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationAnnotationOrBuilder.java new file mode 100644 index 000000000..e983c0245 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationAnnotationOrBuilder.java @@ -0,0 +1,60 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/translation.proto + +package com.google.cloud.automl.v1beta1; + +public interface TranslationAnnotationOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TranslationAnnotation) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Output only . The translated content.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSnippet translated_content = 1; + * + * @return Whether the translatedContent field is set. + */ + boolean hasTranslatedContent(); + /** + * + * + * 
+   * Output only . The translated content.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSnippet translated_content = 1; + * + * @return The translatedContent. + */ + com.google.cloud.automl.v1beta1.TextSnippet getTranslatedContent(); + /** + * + * + * 
+   * Output only . The translated content.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSnippet translated_content = 1; + */ + com.google.cloud.automl.v1beta1.TextSnippetOrBuilder getTranslatedContentOrBuilder(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationDatasetMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationDatasetMetadata.java new file mode 100644 index 000000000..eb27ec188 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationDatasetMetadata.java @@ -0,0 +1,812 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/translation.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Dataset metadata that is specific to translation.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TranslationDatasetMetadata} + */ +public final class TranslationDatasetMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TranslationDatasetMetadata) + TranslationDatasetMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use TranslationDatasetMetadata.newBuilder() to construct. + private TranslationDatasetMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TranslationDatasetMetadata() { + sourceLanguageCode_ = ""; + targetLanguageCode_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new TranslationDatasetMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TranslationDatasetMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + sourceLanguageCode_ = s; + break; + } + case 18: + { + java.lang.String s = input.readStringRequireUtf8(); + + targetLanguageCode_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TranslationProto + .internal_static_google_cloud_automl_v1beta1_TranslationDatasetMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TranslationProto + .internal_static_google_cloud_automl_v1beta1_TranslationDatasetMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TranslationDatasetMetadata.class, + com.google.cloud.automl.v1beta1.TranslationDatasetMetadata.Builder.class); + } + + public static final int SOURCE_LANGUAGE_CODE_FIELD_NUMBER = 1; + private volatile java.lang.Object sourceLanguageCode_; + /** + * + * + * 
+   * Required. The BCP-47 language code of the source language.
+   *
+ * + * string source_language_code = 1 [(.google.api.field_behavior) = REQUIRED]; + * + * @return The sourceLanguageCode. + */ + public java.lang.String getSourceLanguageCode() { + java.lang.Object ref = sourceLanguageCode_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + sourceLanguageCode_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. The BCP-47 language code of the source language.
+   *
+ * + * string source_language_code = 1 [(.google.api.field_behavior) = REQUIRED]; + * + * @return The bytes for sourceLanguageCode. + */ + public com.google.protobuf.ByteString getSourceLanguageCodeBytes() { + java.lang.Object ref = sourceLanguageCode_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + sourceLanguageCode_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int TARGET_LANGUAGE_CODE_FIELD_NUMBER = 2; + private volatile java.lang.Object targetLanguageCode_; + /** + * + * + * 
+   * Required. The BCP-47 language code of the target language.
+   *
+ * + * string target_language_code = 2 [(.google.api.field_behavior) = REQUIRED]; + * + * @return The targetLanguageCode. + */ + public java.lang.String getTargetLanguageCode() { + java.lang.Object ref = targetLanguageCode_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + targetLanguageCode_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. The BCP-47 language code of the target language.
+   *
+ * + * string target_language_code = 2 [(.google.api.field_behavior) = REQUIRED]; + * + * @return The bytes for targetLanguageCode. + */ + public com.google.protobuf.ByteString getTargetLanguageCodeBytes() { + java.lang.Object ref = targetLanguageCode_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + targetLanguageCode_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getSourceLanguageCodeBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, sourceLanguageCode_); + } + if (!getTargetLanguageCodeBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 2, targetLanguageCode_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getSourceLanguageCodeBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, sourceLanguageCode_); + } + if (!getTargetLanguageCodeBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, targetLanguageCode_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TranslationDatasetMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TranslationDatasetMetadata other = + (com.google.cloud.automl.v1beta1.TranslationDatasetMetadata) obj; + + if (!getSourceLanguageCode().equals(other.getSourceLanguageCode())) return false; + if (!getTargetLanguageCode().equals(other.getTargetLanguageCode())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + SOURCE_LANGUAGE_CODE_FIELD_NUMBER; + hash = (53 * hash) + getSourceLanguageCode().hashCode(); + hash = (37 * hash) + TARGET_LANGUAGE_CODE_FIELD_NUMBER; + hash = (53 * hash) + getTargetLanguageCode().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TranslationDatasetMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TranslationDatasetMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TranslationDatasetMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TranslationDatasetMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TranslationDatasetMetadata parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TranslationDatasetMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TranslationDatasetMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TranslationDatasetMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TranslationDatasetMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TranslationDatasetMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TranslationDatasetMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TranslationDatasetMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TranslationDatasetMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Dataset metadata that is specific to translation.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TranslationDatasetMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TranslationDatasetMetadata) + com.google.cloud.automl.v1beta1.TranslationDatasetMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TranslationProto + .internal_static_google_cloud_automl_v1beta1_TranslationDatasetMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TranslationProto + .internal_static_google_cloud_automl_v1beta1_TranslationDatasetMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TranslationDatasetMetadata.class, + com.google.cloud.automl.v1beta1.TranslationDatasetMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TranslationDatasetMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + sourceLanguageCode_ = ""; + + targetLanguageCode_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TranslationProto + .internal_static_google_cloud_automl_v1beta1_TranslationDatasetMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TranslationDatasetMetadata getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TranslationDatasetMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TranslationDatasetMetadata build() { + com.google.cloud.automl.v1beta1.TranslationDatasetMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TranslationDatasetMetadata buildPartial() { + com.google.cloud.automl.v1beta1.TranslationDatasetMetadata result = + new com.google.cloud.automl.v1beta1.TranslationDatasetMetadata(this); + result.sourceLanguageCode_ = sourceLanguageCode_; + result.targetLanguageCode_ = targetLanguageCode_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TranslationDatasetMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.TranslationDatasetMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TranslationDatasetMetadata other) { + if (other == com.google.cloud.automl.v1beta1.TranslationDatasetMetadata.getDefaultInstance()) + return this; + if (!other.getSourceLanguageCode().isEmpty()) { + sourceLanguageCode_ = other.sourceLanguageCode_; + onChanged(); + } + if (!other.getTargetLanguageCode().isEmpty()) { + targetLanguageCode_ = other.targetLanguageCode_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TranslationDatasetMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TranslationDatasetMetadata) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object sourceLanguageCode_ = ""; + /** + * + * + * 
+     * Required. The BCP-47 language code of the source language.
+     *
+ * + * string source_language_code = 1 [(.google.api.field_behavior) = REQUIRED]; + * + * @return The sourceLanguageCode. + */ + public java.lang.String getSourceLanguageCode() { + java.lang.Object ref = sourceLanguageCode_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + sourceLanguageCode_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. The BCP-47 language code of the source language.
+     *
+ * + * string source_language_code = 1 [(.google.api.field_behavior) = REQUIRED]; + * + * @return The bytes for sourceLanguageCode. + */ + public com.google.protobuf.ByteString getSourceLanguageCodeBytes() { + java.lang.Object ref = sourceLanguageCode_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + sourceLanguageCode_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. The BCP-47 language code of the source language.
+     *
+ * + * string source_language_code = 1 [(.google.api.field_behavior) = REQUIRED]; + * + * @param value The sourceLanguageCode to set. + * @return This builder for chaining. + */ + public Builder setSourceLanguageCode(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + sourceLanguageCode_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The BCP-47 language code of the source language.
+     *
+ * + * string source_language_code = 1 [(.google.api.field_behavior) = REQUIRED]; + * + * @return This builder for chaining. + */ + public Builder clearSourceLanguageCode() { + + sourceLanguageCode_ = getDefaultInstance().getSourceLanguageCode(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The BCP-47 language code of the source language.
+     *
+ * + * string source_language_code = 1 [(.google.api.field_behavior) = REQUIRED]; + * + * @param value The bytes for sourceLanguageCode to set. + * @return This builder for chaining. + */ + public Builder setSourceLanguageCodeBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + sourceLanguageCode_ = value; + onChanged(); + return this; + } + + private java.lang.Object targetLanguageCode_ = ""; + /** + * + * + * 
+     * Required. The BCP-47 language code of the target language.
+     *
+ * + * string target_language_code = 2 [(.google.api.field_behavior) = REQUIRED]; + * + * @return The targetLanguageCode. + */ + public java.lang.String getTargetLanguageCode() { + java.lang.Object ref = targetLanguageCode_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + targetLanguageCode_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. The BCP-47 language code of the target language.
+     *
+ * + * string target_language_code = 2 [(.google.api.field_behavior) = REQUIRED]; + * + * @return The bytes for targetLanguageCode. + */ + public com.google.protobuf.ByteString getTargetLanguageCodeBytes() { + java.lang.Object ref = targetLanguageCode_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + targetLanguageCode_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. The BCP-47 language code of the target language.
+     *
+ * + * string target_language_code = 2 [(.google.api.field_behavior) = REQUIRED]; + * + * @param value The targetLanguageCode to set. + * @return This builder for chaining. + */ + public Builder setTargetLanguageCode(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + targetLanguageCode_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The BCP-47 language code of the target language.
+     *
+ * + * string target_language_code = 2 [(.google.api.field_behavior) = REQUIRED]; + * + * @return This builder for chaining. + */ + public Builder clearTargetLanguageCode() { + + targetLanguageCode_ = getDefaultInstance().getTargetLanguageCode(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. The BCP-47 language code of the target language.
+     *
+ * + * string target_language_code = 2 [(.google.api.field_behavior) = REQUIRED]; + * + * @param value The bytes for targetLanguageCode to set. + * @return This builder for chaining. + */ + public Builder setTargetLanguageCodeBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + targetLanguageCode_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TranslationDatasetMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TranslationDatasetMetadata) + private static final com.google.cloud.automl.v1beta1.TranslationDatasetMetadata DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TranslationDatasetMetadata(); + } + + public static com.google.cloud.automl.v1beta1.TranslationDatasetMetadata getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TranslationDatasetMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TranslationDatasetMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TranslationDatasetMetadata getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationDatasetMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationDatasetMetadataOrBuilder.java new file mode 100644 index 000000000..edbdb4c32 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationDatasetMetadataOrBuilder.java @@ -0,0 +1,75 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/translation.proto + +package com.google.cloud.automl.v1beta1; + +public interface TranslationDatasetMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TranslationDatasetMetadata) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. The BCP-47 language code of the source language.
+   *
+ * + * string source_language_code = 1 [(.google.api.field_behavior) = REQUIRED]; + * + * @return The sourceLanguageCode. + */ + java.lang.String getSourceLanguageCode(); + /** + * + * + * 
+   * Required. The BCP-47 language code of the source language.
+   *
+ * + * string source_language_code = 1 [(.google.api.field_behavior) = REQUIRED]; + * + * @return The bytes for sourceLanguageCode. + */ + com.google.protobuf.ByteString getSourceLanguageCodeBytes(); + + /** + * + * + * 
+   * Required. The BCP-47 language code of the target language.
+   *
+ * + * string target_language_code = 2 [(.google.api.field_behavior) = REQUIRED]; + * + * @return The targetLanguageCode. + */ + java.lang.String getTargetLanguageCode(); + /** + * + * + * 
+   * Required. The BCP-47 language code of the target language.
+   *
+ * + * string target_language_code = 2 [(.google.api.field_behavior) = REQUIRED]; + * + * @return The bytes for targetLanguageCode. + */ + com.google.protobuf.ByteString getTargetLanguageCodeBytes(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationEvaluationMetrics.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationEvaluationMetrics.java new file mode 100644 index 000000000..7caa47acc --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationEvaluationMetrics.java @@ -0,0 +1,644 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/translation.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Evaluation metrics for the dataset.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TranslationEvaluationMetrics} + */ +public final class TranslationEvaluationMetrics extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TranslationEvaluationMetrics) + TranslationEvaluationMetricsOrBuilder { + private static final long serialVersionUID = 0L; + // Use TranslationEvaluationMetrics.newBuilder() to construct. + private TranslationEvaluationMetrics(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TranslationEvaluationMetrics() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new TranslationEvaluationMetrics(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TranslationEvaluationMetrics( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 9: + { + bleuScore_ = input.readDouble(); + break; + } + case 17: + { + baseBleuScore_ = input.readDouble(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TranslationProto + .internal_static_google_cloud_automl_v1beta1_TranslationEvaluationMetrics_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TranslationProto + .internal_static_google_cloud_automl_v1beta1_TranslationEvaluationMetrics_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.class, + com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.Builder.class); + } + + public static final int BLEU_SCORE_FIELD_NUMBER = 1; + private double bleuScore_; + /** + * + * + * 
+   * Output only. BLEU score.
+   *
+ * + * double bleu_score = 1; + * + * @return The bleuScore. + */ + public double getBleuScore() { + return bleuScore_; + } + + public static final int BASE_BLEU_SCORE_FIELD_NUMBER = 2; + private double baseBleuScore_; + /** + * + * + * 
+   * Output only. BLEU score for base model.
+   *
+ * + * double base_bleu_score = 2; + * + * @return The baseBleuScore. + */ + public double getBaseBleuScore() { + return baseBleuScore_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (bleuScore_ != 0D) { + output.writeDouble(1, bleuScore_); + } + if (baseBleuScore_ != 0D) { + output.writeDouble(2, baseBleuScore_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (bleuScore_ != 0D) { + size += com.google.protobuf.CodedOutputStream.computeDoubleSize(1, bleuScore_); + } + if (baseBleuScore_ != 0D) { + size += com.google.protobuf.CodedOutputStream.computeDoubleSize(2, baseBleuScore_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics other = + (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) obj; + + if (java.lang.Double.doubleToLongBits(getBleuScore()) + != java.lang.Double.doubleToLongBits(other.getBleuScore())) return false; + if (java.lang.Double.doubleToLongBits(getBaseBleuScore()) + != java.lang.Double.doubleToLongBits(other.getBaseBleuScore())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + BLEU_SCORE_FIELD_NUMBER; + hash = + (53 * hash) + + com.google.protobuf.Internal.hashLong( + java.lang.Double.doubleToLongBits(getBleuScore())); + hash = (37 * hash) + BASE_BLEU_SCORE_FIELD_NUMBER; + hash = + (53 * hash) + + com.google.protobuf.Internal.hashLong( + java.lang.Double.doubleToLongBits(getBaseBleuScore())); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Evaluation metrics for the dataset.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TranslationEvaluationMetrics} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TranslationEvaluationMetrics) + com.google.cloud.automl.v1beta1.TranslationEvaluationMetricsOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TranslationProto + .internal_static_google_cloud_automl_v1beta1_TranslationEvaluationMetrics_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TranslationProto + .internal_static_google_cloud_automl_v1beta1_TranslationEvaluationMetrics_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.class, + com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + bleuScore_ = 0D; + + baseBleuScore_ = 0D; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TranslationProto + .internal_static_google_cloud_automl_v1beta1_TranslationEvaluationMetrics_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics build() { + com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics buildPartial() { + com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics result = + new com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics(this); + result.bleuScore_ = bleuScore_; + result.baseBleuScore_ = baseBleuScore_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) { + return mergeFrom((com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics other) { + if (other + == com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.getDefaultInstance()) + return this; + if (other.getBleuScore() != 0D) { + setBleuScore(other.getBleuScore()); + } + if (other.getBaseBleuScore() != 0D) { + setBaseBleuScore(other.getBaseBleuScore()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private double bleuScore_; + /** + * + * + * 
+     * Output only. BLEU score.
+     *
+ * + * double bleu_score = 1; + * + * @return The bleuScore. + */ + public double getBleuScore() { + return bleuScore_; + } + /** + * + * + * 
+     * Output only. BLEU score.
+     *
+ * + * double bleu_score = 1; + * + * @param value The bleuScore to set. + * @return This builder for chaining. + */ + public Builder setBleuScore(double value) { + + bleuScore_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. BLEU score.
+     *
+ * + * double bleu_score = 1; + * + * @return This builder for chaining. + */ + public Builder clearBleuScore() { + + bleuScore_ = 0D; + onChanged(); + return this; + } + + private double baseBleuScore_; + /** + * + * + * 
+     * Output only. BLEU score for base model.
+     *
+ * + * double base_bleu_score = 2; + * + * @return The baseBleuScore. + */ + public double getBaseBleuScore() { + return baseBleuScore_; + } + /** + * + * + * 
+     * Output only. BLEU score for base model.
+     *
+ * + * double base_bleu_score = 2; + * + * @param value The baseBleuScore to set. + * @return This builder for chaining. + */ + public Builder setBaseBleuScore(double value) { + + baseBleuScore_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. BLEU score for base model.
+     *
+ * + * double base_bleu_score = 2; + * + * @return This builder for chaining. + */ + public Builder clearBaseBleuScore() { + + baseBleuScore_ = 0D; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TranslationEvaluationMetrics) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TranslationEvaluationMetrics) + private static final com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics(); + } + + public static com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TranslationEvaluationMetrics parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TranslationEvaluationMetrics(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationEvaluationMetricsOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationEvaluationMetricsOrBuilder.java new file mode 100644 index 000000000..f673fe07e --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationEvaluationMetricsOrBuilder.java @@ -0,0 +1,51 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/translation.proto + +package com.google.cloud.automl.v1beta1; + +public interface TranslationEvaluationMetricsOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TranslationEvaluationMetrics) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Output only. BLEU score.
+   *
+ * + * double bleu_score = 1; + * + * @return The bleuScore. + */ + double getBleuScore(); + + /** + * + * + * 
+   * Output only. BLEU score for base model.
+   *
+ * + * double base_bleu_score = 2; + * + * @return The baseBleuScore. + */ + double getBaseBleuScore(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationModelMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationModelMetadata.java new file mode 100644 index 000000000..2f555b3e0 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationModelMetadata.java @@ -0,0 +1,1024 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/translation.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Model metadata that is specific to translation.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TranslationModelMetadata} + */ +public final class TranslationModelMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TranslationModelMetadata) + TranslationModelMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use TranslationModelMetadata.newBuilder() to construct. + private TranslationModelMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TranslationModelMetadata() { + baseModel_ = ""; + sourceLanguageCode_ = ""; + targetLanguageCode_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new TranslationModelMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TranslationModelMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + baseModel_ = s; + break; + } + case 18: + { + java.lang.String s = input.readStringRequireUtf8(); + + sourceLanguageCode_ = s; + break; + } + case 26: + { + java.lang.String s = input.readStringRequireUtf8(); + + targetLanguageCode_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TranslationProto + .internal_static_google_cloud_automl_v1beta1_TranslationModelMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TranslationProto + .internal_static_google_cloud_automl_v1beta1_TranslationModelMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TranslationModelMetadata.class, + com.google.cloud.automl.v1beta1.TranslationModelMetadata.Builder.class); + } + + public static final int BASE_MODEL_FIELD_NUMBER = 1; + private volatile java.lang.Object baseModel_; + /** + * + * + * 
+   * The resource name of the model to use as a baseline to train the custom
+   * model. If unset, we use the default base model provided by Google
+   * Translate. Format:
+   * `projects/{project_id}/locations/{location_id}/models/{model_id}`
+   *
+ * + * string base_model = 1; + * + * @return The baseModel. + */ + public java.lang.String getBaseModel() { + java.lang.Object ref = baseModel_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + baseModel_ = s; + return s; + } + } + /** + * + * + * 
+   * The resource name of the model to use as a baseline to train the custom
+   * model. If unset, we use the default base model provided by Google
+   * Translate. Format:
+   * `projects/{project_id}/locations/{location_id}/models/{model_id}`
+   *
+ * + * string base_model = 1; + * + * @return The bytes for baseModel. + */ + public com.google.protobuf.ByteString getBaseModelBytes() { + java.lang.Object ref = baseModel_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + baseModel_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int SOURCE_LANGUAGE_CODE_FIELD_NUMBER = 2; + private volatile java.lang.Object sourceLanguageCode_; + /** + * + * + * 
+   * Output only. Inferred from the dataset.
+   * The source languge (The BCP-47 language code) that is used for training.
+   *
+ * + * string source_language_code = 2; + * + * @return The sourceLanguageCode. + */ + public java.lang.String getSourceLanguageCode() { + java.lang.Object ref = sourceLanguageCode_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + sourceLanguageCode_ = s; + return s; + } + } + /** + * + * + * 
+   * Output only. Inferred from the dataset.
+   * The source languge (The BCP-47 language code) that is used for training.
+   *
+ * + * string source_language_code = 2; + * + * @return The bytes for sourceLanguageCode. + */ + public com.google.protobuf.ByteString getSourceLanguageCodeBytes() { + java.lang.Object ref = sourceLanguageCode_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + sourceLanguageCode_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int TARGET_LANGUAGE_CODE_FIELD_NUMBER = 3; + private volatile java.lang.Object targetLanguageCode_; + /** + * + * + * 
+   * Output only. The target languge (The BCP-47 language code) that is used for
+   * training.
+   *
+ * + * string target_language_code = 3; + * + * @return The targetLanguageCode. + */ + public java.lang.String getTargetLanguageCode() { + java.lang.Object ref = targetLanguageCode_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + targetLanguageCode_ = s; + return s; + } + } + /** + * + * + * 
+   * Output only. The target languge (The BCP-47 language code) that is used for
+   * training.
+   *
+ * + * string target_language_code = 3; + * + * @return The bytes for targetLanguageCode. + */ + public com.google.protobuf.ByteString getTargetLanguageCodeBytes() { + java.lang.Object ref = targetLanguageCode_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + targetLanguageCode_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getBaseModelBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, baseModel_); + } + if (!getSourceLanguageCodeBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 2, sourceLanguageCode_); + } + if (!getTargetLanguageCodeBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 3, targetLanguageCode_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getBaseModelBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, baseModel_); + } + if (!getSourceLanguageCodeBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, sourceLanguageCode_); + } + if (!getTargetLanguageCodeBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, targetLanguageCode_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TranslationModelMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TranslationModelMetadata other = + (com.google.cloud.automl.v1beta1.TranslationModelMetadata) obj; + + if (!getBaseModel().equals(other.getBaseModel())) return false; + if (!getSourceLanguageCode().equals(other.getSourceLanguageCode())) return false; + if (!getTargetLanguageCode().equals(other.getTargetLanguageCode())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + BASE_MODEL_FIELD_NUMBER; + hash = (53 * hash) + getBaseModel().hashCode(); + hash = (37 * hash) + SOURCE_LANGUAGE_CODE_FIELD_NUMBER; + hash = (53 * hash) + getSourceLanguageCode().hashCode(); + hash = (37 * hash) + TARGET_LANGUAGE_CODE_FIELD_NUMBER; + hash = (53 * hash) + getTargetLanguageCode().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TranslationModelMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TranslationModelMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TranslationModelMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TranslationModelMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TranslationModelMetadata parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TranslationModelMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TranslationModelMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TranslationModelMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TranslationModelMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TranslationModelMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TranslationModelMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TranslationModelMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TranslationModelMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Model metadata that is specific to translation.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TranslationModelMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TranslationModelMetadata) + com.google.cloud.automl.v1beta1.TranslationModelMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TranslationProto + .internal_static_google_cloud_automl_v1beta1_TranslationModelMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TranslationProto + .internal_static_google_cloud_automl_v1beta1_TranslationModelMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TranslationModelMetadata.class, + com.google.cloud.automl.v1beta1.TranslationModelMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TranslationModelMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + baseModel_ = ""; + + sourceLanguageCode_ = ""; + + targetLanguageCode_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TranslationProto + .internal_static_google_cloud_automl_v1beta1_TranslationModelMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TranslationModelMetadata getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TranslationModelMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TranslationModelMetadata build() { + com.google.cloud.automl.v1beta1.TranslationModelMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TranslationModelMetadata buildPartial() { + com.google.cloud.automl.v1beta1.TranslationModelMetadata result = + new com.google.cloud.automl.v1beta1.TranslationModelMetadata(this); + result.baseModel_ = baseModel_; + result.sourceLanguageCode_ = sourceLanguageCode_; + result.targetLanguageCode_ = targetLanguageCode_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TranslationModelMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.TranslationModelMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TranslationModelMetadata other) { + if (other == com.google.cloud.automl.v1beta1.TranslationModelMetadata.getDefaultInstance()) + return this; + if (!other.getBaseModel().isEmpty()) { + baseModel_ = other.baseModel_; + onChanged(); + } + if (!other.getSourceLanguageCode().isEmpty()) { + sourceLanguageCode_ = other.sourceLanguageCode_; + onChanged(); + } + if (!other.getTargetLanguageCode().isEmpty()) { + targetLanguageCode_ = other.targetLanguageCode_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TranslationModelMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TranslationModelMetadata) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object baseModel_ = ""; + /** + * + * + * 
+     * The resource name of the model to use as a baseline to train the custom
+     * model. If unset, we use the default base model provided by Google
+     * Translate. Format:
+     * `projects/{project_id}/locations/{location_id}/models/{model_id}`
+     *
+ * + * string base_model = 1; + * + * @return The baseModel. + */ + public java.lang.String getBaseModel() { + java.lang.Object ref = baseModel_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + baseModel_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * The resource name of the model to use as a baseline to train the custom
+     * model. If unset, we use the default base model provided by Google
+     * Translate. Format:
+     * `projects/{project_id}/locations/{location_id}/models/{model_id}`
+     *
+ * + * string base_model = 1; + * + * @return The bytes for baseModel. + */ + public com.google.protobuf.ByteString getBaseModelBytes() { + java.lang.Object ref = baseModel_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + baseModel_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * The resource name of the model to use as a baseline to train the custom
+     * model. If unset, we use the default base model provided by Google
+     * Translate. Format:
+     * `projects/{project_id}/locations/{location_id}/models/{model_id}`
+     *
+ * + * string base_model = 1; + * + * @param value The baseModel to set. + * @return This builder for chaining. + */ + public Builder setBaseModel(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + baseModel_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * The resource name of the model to use as a baseline to train the custom
+     * model. If unset, we use the default base model provided by Google
+     * Translate. Format:
+     * `projects/{project_id}/locations/{location_id}/models/{model_id}`
+     *
+ * + * string base_model = 1; + * + * @return This builder for chaining. + */ + public Builder clearBaseModel() { + + baseModel_ = getDefaultInstance().getBaseModel(); + onChanged(); + return this; + } + /** + * + * + * 
+     * The resource name of the model to use as a baseline to train the custom
+     * model. If unset, we use the default base model provided by Google
+     * Translate. Format:
+     * `projects/{project_id}/locations/{location_id}/models/{model_id}`
+     *
+ * + * string base_model = 1; + * + * @param value The bytes for baseModel to set. + * @return This builder for chaining. + */ + public Builder setBaseModelBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + baseModel_ = value; + onChanged(); + return this; + } + + private java.lang.Object sourceLanguageCode_ = ""; + /** + * + * + * 
+     * Output only. Inferred from the dataset.
+     * The source languge (The BCP-47 language code) that is used for training.
+     *
+ * + * string source_language_code = 2; + * + * @return The sourceLanguageCode. + */ + public java.lang.String getSourceLanguageCode() { + java.lang.Object ref = sourceLanguageCode_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + sourceLanguageCode_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Output only. Inferred from the dataset.
+     * The source languge (The BCP-47 language code) that is used for training.
+     *
+ * + * string source_language_code = 2; + * + * @return The bytes for sourceLanguageCode. + */ + public com.google.protobuf.ByteString getSourceLanguageCodeBytes() { + java.lang.Object ref = sourceLanguageCode_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + sourceLanguageCode_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Output only. Inferred from the dataset.
+     * The source languge (The BCP-47 language code) that is used for training.
+     *
+ * + * string source_language_code = 2; + * + * @param value The sourceLanguageCode to set. + * @return This builder for chaining. + */ + public Builder setSourceLanguageCode(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + sourceLanguageCode_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. Inferred from the dataset.
+     * The source languge (The BCP-47 language code) that is used for training.
+     *
+ * + * string source_language_code = 2; + * + * @return This builder for chaining. + */ + public Builder clearSourceLanguageCode() { + + sourceLanguageCode_ = getDefaultInstance().getSourceLanguageCode(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. Inferred from the dataset.
+     * The source languge (The BCP-47 language code) that is used for training.
+     *
+ * + * string source_language_code = 2; + * + * @param value The bytes for sourceLanguageCode to set. + * @return This builder for chaining. + */ + public Builder setSourceLanguageCodeBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + sourceLanguageCode_ = value; + onChanged(); + return this; + } + + private java.lang.Object targetLanguageCode_ = ""; + /** + * + * + * 
+     * Output only. The target languge (The BCP-47 language code) that is used for
+     * training.
+     *
+ * + * string target_language_code = 3; + * + * @return The targetLanguageCode. + */ + public java.lang.String getTargetLanguageCode() { + java.lang.Object ref = targetLanguageCode_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + targetLanguageCode_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Output only. The target languge (The BCP-47 language code) that is used for
+     * training.
+     *
+ * + * string target_language_code = 3; + * + * @return The bytes for targetLanguageCode. + */ + public com.google.protobuf.ByteString getTargetLanguageCodeBytes() { + java.lang.Object ref = targetLanguageCode_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + targetLanguageCode_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Output only. The target languge (The BCP-47 language code) that is used for
+     * training.
+     *
+ * + * string target_language_code = 3; + * + * @param value The targetLanguageCode to set. + * @return This builder for chaining. + */ + public Builder setTargetLanguageCode(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + targetLanguageCode_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The target languge (The BCP-47 language code) that is used for
+     * training.
+     *
+ * + * string target_language_code = 3; + * + * @return This builder for chaining. + */ + public Builder clearTargetLanguageCode() { + + targetLanguageCode_ = getDefaultInstance().getTargetLanguageCode(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The target languge (The BCP-47 language code) that is used for
+     * training.
+     *
+ * + * string target_language_code = 3; + * + * @param value The bytes for targetLanguageCode to set. + * @return This builder for chaining. + */ + public Builder setTargetLanguageCodeBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + targetLanguageCode_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TranslationModelMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TranslationModelMetadata) + private static final com.google.cloud.automl.v1beta1.TranslationModelMetadata DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TranslationModelMetadata(); + } + + public static com.google.cloud.automl.v1beta1.TranslationModelMetadata getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TranslationModelMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TranslationModelMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TranslationModelMetadata getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationModelMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationModelMetadataOrBuilder.java new file mode 100644 index 000000000..177d6ac4c --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationModelMetadataOrBuilder.java @@ -0,0 +1,110 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/translation.proto + +package com.google.cloud.automl.v1beta1; + +public interface TranslationModelMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TranslationModelMetadata) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * The resource name of the model to use as a baseline to train the custom
+   * model. If unset, we use the default base model provided by Google
+   * Translate. Format:
+   * `projects/{project_id}/locations/{location_id}/models/{model_id}`
+   *
+ * + * string base_model = 1; + * + * @return The baseModel. + */ + java.lang.String getBaseModel(); + /** + * + * + * 
+   * The resource name of the model to use as a baseline to train the custom
+   * model. If unset, we use the default base model provided by Google
+   * Translate. Format:
+   * `projects/{project_id}/locations/{location_id}/models/{model_id}`
+   *
+ * + * string base_model = 1; + * + * @return The bytes for baseModel. + */ + com.google.protobuf.ByteString getBaseModelBytes(); + + /** + * + * + * 
+   * Output only. Inferred from the dataset.
+   * The source languge (The BCP-47 language code) that is used for training.
+   *
+ * + * string source_language_code = 2; + * + * @return The sourceLanguageCode. + */ + java.lang.String getSourceLanguageCode(); + /** + * + * + * 
+   * Output only. Inferred from the dataset.
+   * The source languge (The BCP-47 language code) that is used for training.
+   *
+ * + * string source_language_code = 2; + * + * @return The bytes for sourceLanguageCode. + */ + com.google.protobuf.ByteString getSourceLanguageCodeBytes(); + + /** + * + * + * 
+   * Output only. The target languge (The BCP-47 language code) that is used for
+   * training.
+   *
+ * + * string target_language_code = 3; + * + * @return The targetLanguageCode. + */ + java.lang.String getTargetLanguageCode(); + /** + * + * + * 
+   * Output only. The target languge (The BCP-47 language code) that is used for
+   * training.
+   *
+ * + * string target_language_code = 3; + * + * @return The bytes for targetLanguageCode. + */ + com.google.protobuf.ByteString getTargetLanguageCodeBytes(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationProto.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationProto.java new file mode 100644 index 000000000..d31470471 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TranslationProto.java @@ -0,0 +1,126 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/translation.proto + +package com.google.cloud.automl.v1beta1; + +public final class TranslationProto { + private TranslationProto() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TranslationDatasetMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TranslationDatasetMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TranslationEvaluationMetrics_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TranslationEvaluationMetrics_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TranslationModelMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TranslationModelMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TranslationAnnotation_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TranslationAnnotation_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n-google/cloud/automl/v1beta1/translatio" + + "n.proto\022\033google.cloud.automl.v1beta1\032\037go" + + "ogle/api/field_behavior.proto\032,google/cl" + + "oud/automl/v1beta1/data_items.proto\032\034goo" + + "gle/api/annotations.proto\"b\n\032Translation" + + "DatasetMetadata\022!\n\024source_language_code\030" + + "\001 \001(\tB\003\340A\002\022!\n\024target_language_code\030\002 \001(\t" + + "B\003\340A\002\"K\n\034TranslationEvaluationMetrics\022\022\n" + + "\nbleu_score\030\001 \001(\001\022\027\n\017base_bleu_score\030\002 \001" + + "(\001\"j\n\030TranslationModelMetadata\022\022\n\nbase_m" + + "odel\030\001 \001(\t\022\034\n\024source_language_code\030\002 \001(\t" + + "\022\034\n\024target_language_code\030\003 \001(\t\"]\n\025Transl" + + "ationAnnotation\022D\n\022translated_content\030\001 " + + "\001(\0132(.google.cloud.automl.v1beta1.TextSn" + + "ippetB\267\001\n\037com.google.cloud.automl.v1beta" + + "1B\020TranslationProtoP\001ZAgoogle.golang.org" + + "/genproto/googleapis/cloud/automl/v1beta" + + "1;automl\312\002\033Google\\Cloud\\AutoMl\\V1beta1\352\002" + + "\036Google::Cloud::AutoML::V1beta1b\006proto3" + }; + descriptor = + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.api.FieldBehaviorProto.getDescriptor(), + com.google.cloud.automl.v1beta1.DataItems.getDescriptor(), + com.google.api.AnnotationsProto.getDescriptor(), + }); + internal_static_google_cloud_automl_v1beta1_TranslationDatasetMetadata_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_TranslationDatasetMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TranslationDatasetMetadata_descriptor, + new java.lang.String[] { + "SourceLanguageCode", "TargetLanguageCode", + }); + internal_static_google_cloud_automl_v1beta1_TranslationEvaluationMetrics_descriptor = + getDescriptor().getMessageTypes().get(1); + internal_static_google_cloud_automl_v1beta1_TranslationEvaluationMetrics_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TranslationEvaluationMetrics_descriptor, + new java.lang.String[] { + "BleuScore", "BaseBleuScore", + }); + internal_static_google_cloud_automl_v1beta1_TranslationModelMetadata_descriptor = + getDescriptor().getMessageTypes().get(2); + internal_static_google_cloud_automl_v1beta1_TranslationModelMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TranslationModelMetadata_descriptor, + new java.lang.String[] { + "BaseModel", "SourceLanguageCode", "TargetLanguageCode", + }); + internal_static_google_cloud_automl_v1beta1_TranslationAnnotation_descriptor = + getDescriptor().getMessageTypes().get(3); + internal_static_google_cloud_automl_v1beta1_TranslationAnnotation_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TranslationAnnotation_descriptor, + new java.lang.String[] { + "TranslatedContent", + }); + com.google.protobuf.ExtensionRegistry registry = + com.google.protobuf.ExtensionRegistry.newInstance(); + registry.add(com.google.api.FieldBehaviorProto.fieldBehavior); + com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor( + descriptor, registry); + com.google.api.FieldBehaviorProto.getDescriptor(); + com.google.cloud.automl.v1beta1.DataItems.getDescriptor(); + com.google.api.AnnotationsProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TypeCode.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TypeCode.java new file mode 100644 index 000000000..acefa7669 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TypeCode.java @@ -0,0 +1,283 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_types.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * `TypeCode` is used as a part of
+ * [DataType][google.cloud.automl.v1beta1.DataType].
+ *
+ * + * Protobuf enum {@code google.cloud.automl.v1beta1.TypeCode} + */ +public enum TypeCode implements com.google.protobuf.ProtocolMessageEnum { + /** + * + * + * 
+   * Not specified. Should not be used.
+   *
+ * + * TYPE_CODE_UNSPECIFIED = 0; + */ + TYPE_CODE_UNSPECIFIED(0), + /** + * + * + * 
+   * Encoded as `number`, or the strings `"NaN"`, `"Infinity"`, or
+   * `"-Infinity"`.
+   *
+ * + * FLOAT64 = 3; + */ + FLOAT64(3), + /** + * + * + * 
+   * Must be between 0AD and 9999AD. Encoded as `string` according to
+   * [time_format][google.cloud.automl.v1beta1.DataType.time_format], or, if
+   * that format is not set, then in RFC 3339 `date-time` format, where
+   * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z).
+   *
+ * + * TIMESTAMP = 4; + */ + TIMESTAMP(4), + /** + * + * + * 
+   * Encoded as `string`.
+   *
+ * + * STRING = 6; + */ + STRING(6), + /** + * + * + * 
+   * Encoded as `list`, where the list elements are represented according to
+   * [list_element_type][google.cloud.automl.v1beta1.DataType.list_element_type].
+   *
+ * + * ARRAY = 8; + */ + ARRAY(8), + /** + * + * + * 
+   * Encoded as `struct`, where field values are represented according to
+   * [struct_type][google.cloud.automl.v1beta1.DataType.struct_type].
+   *
+ * + * STRUCT = 9; + */ + STRUCT(9), + /** + * + * + * 
+   * Values of this type are not further understood by AutoML,
+   * e.g. AutoML is unable to tell the order of values (as it could with
+   * FLOAT64), or is unable to say if one value contains another (as it
+   * could with STRING).
+   * Encoded as `string` (bytes should be base64-encoded, as described in RFC
+   * 4648, section 4).
+   *
+ * + * CATEGORY = 10; + */ + CATEGORY(10), + UNRECOGNIZED(-1), + ; + + /** + * + * + * 
+   * Not specified. Should not be used.
+   *
+ * + * TYPE_CODE_UNSPECIFIED = 0; + */ + public static final int TYPE_CODE_UNSPECIFIED_VALUE = 0; + /** + * + * + * 
+   * Encoded as `number`, or the strings `"NaN"`, `"Infinity"`, or
+   * `"-Infinity"`.
+   *
+ * + * FLOAT64 = 3; + */ + public static final int FLOAT64_VALUE = 3; + /** + * + * + * 
+   * Must be between 0AD and 9999AD. Encoded as `string` according to
+   * [time_format][google.cloud.automl.v1beta1.DataType.time_format], or, if
+   * that format is not set, then in RFC 3339 `date-time` format, where
+   * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z).
+   *
+ * + * TIMESTAMP = 4; + */ + public static final int TIMESTAMP_VALUE = 4; + /** + * + * + * 
+   * Encoded as `string`.
+   *
+ * + * STRING = 6; + */ + public static final int STRING_VALUE = 6; + /** + * + * + * 
+   * Encoded as `list`, where the list elements are represented according to
+   * [list_element_type][google.cloud.automl.v1beta1.DataType.list_element_type].
+   *
+ * + * ARRAY = 8; + */ + public static final int ARRAY_VALUE = 8; + /** + * + * + * 
+   * Encoded as `struct`, where field values are represented according to
+   * [struct_type][google.cloud.automl.v1beta1.DataType.struct_type].
+   *
+ * + * STRUCT = 9; + */ + public static final int STRUCT_VALUE = 9; + /** + * + * + * 
+   * Values of this type are not further understood by AutoML,
+   * e.g. AutoML is unable to tell the order of values (as it could with
+   * FLOAT64), or is unable to say if one value contains another (as it
+   * could with STRING).
+   * Encoded as `string` (bytes should be base64-encoded, as described in RFC
+   * 4648, section 4).
+   *
+ * + * CATEGORY = 10; + */ + public static final int CATEGORY_VALUE = 10; + + public final int getNumber() { + if (this == UNRECOGNIZED) { + throw new java.lang.IllegalArgumentException( + "Can't get the number of an unknown enum value."); + } + return value; + } + + /** + * @param value The numeric wire value of the corresponding enum entry. + * @return The enum associated with the given numeric wire value. + * @deprecated Use {@link #forNumber(int)} instead. + */ + @java.lang.Deprecated + public static TypeCode valueOf(int value) { + return forNumber(value); + } + + /** + * @param value The numeric wire value of the corresponding enum entry. + * @return The enum associated with the given numeric wire value. + */ + public static TypeCode forNumber(int value) { + switch (value) { + case 0: + return TYPE_CODE_UNSPECIFIED; + case 3: + return FLOAT64; + case 4: + return TIMESTAMP; + case 6: + return STRING; + case 8: + return ARRAY; + case 9: + return STRUCT; + case 10: + return CATEGORY; + default: + return null; + } + } + + public static com.google.protobuf.Internal.EnumLiteMap internalGetValueMap() { + return internalValueMap; + } + + private static final com.google.protobuf.Internal.EnumLiteMap internalValueMap = + new com.google.protobuf.Internal.EnumLiteMap() { + public TypeCode findValueByNumber(int number) { + return TypeCode.forNumber(number); + } + }; + + public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() { + return getDescriptor().getValues().get(ordinal()); + } + + public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() { + return getDescriptor(); + } + + public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataTypes.getDescriptor().getEnumTypes().get(0); + } + + private static final TypeCode[] VALUES = values(); + + public static TypeCode valueOf(com.google.protobuf.Descriptors.EnumValueDescriptor desc) { + if (desc.getType() != getDescriptor()) { + throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type."); + } + if (desc.getIndex() == -1) { + return UNRECOGNIZED; + } + return VALUES[desc.getIndex()]; + } + + private final int value; + + private TypeCode(int value) { + this.value = value; + } + + // @@protoc_insertion_point(enum_scope:google.cloud.automl.v1beta1.TypeCode) +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelOperationMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelOperationMetadata.java new file mode 100644 index 000000000..8996eab89 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelOperationMetadata.java @@ -0,0 +1,464 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/operations.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Details of UndeployModel operation.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.UndeployModelOperationMetadata} + */ +public final class UndeployModelOperationMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.UndeployModelOperationMetadata) + UndeployModelOperationMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use UndeployModelOperationMetadata.newBuilder() to construct. + private UndeployModelOperationMetadata( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private UndeployModelOperationMetadata() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new UndeployModelOperationMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private UndeployModelOperationMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_UndeployModelOperationMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_UndeployModelOperationMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.class, + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.Builder.class); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata other = + (com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) obj; + + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata parseFrom( + byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Details of UndeployModel operation.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.UndeployModelOperationMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.UndeployModelOperationMetadata) + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_UndeployModelOperationMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_UndeployModelOperationMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.class, + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_UndeployModelOperationMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata build() { + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata buildPartial() { + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata result = + new com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata(this); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata other) { + if (other + == com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.getDefaultInstance()) + return this; + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.UndeployModelOperationMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.UndeployModelOperationMetadata) + private static final com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata(); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public UndeployModelOperationMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new UndeployModelOperationMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelOperationMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelOperationMetadataOrBuilder.java new file mode 100644 index 000000000..0f421fce9 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelOperationMetadataOrBuilder.java @@ -0,0 +1,24 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/operations.proto + +package com.google.cloud.automl.v1beta1; + +public interface UndeployModelOperationMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.UndeployModelOperationMetadata) + com.google.protobuf.MessageOrBuilder {} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelRequest.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelRequest.java new file mode 100644 index 000000000..231e48187 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelRequest.java @@ -0,0 +1,648 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [AutoMl.UndeployModel][google.cloud.automl.v1beta1.AutoMl.UndeployModel].
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.UndeployModelRequest} + */ +public final class UndeployModelRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.UndeployModelRequest) + UndeployModelRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use UndeployModelRequest.newBuilder() to construct. + private UndeployModelRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private UndeployModelRequest() { + name_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new UndeployModelRequest(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private UndeployModelRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + name_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UndeployModelRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UndeployModelRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.UndeployModelRequest.class, + com.google.cloud.automl.v1beta1.UndeployModelRequest.Builder.class); + } + + public static final int NAME_FIELD_NUMBER = 1; + private volatile java.lang.Object name_; + /** + * + * + * 
+   * Required. Resource name of the model to undeploy.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } + } + /** + * + * + * 
+   * Required. Resource name of the model to undeploy.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.UndeployModelRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.UndeployModelRequest other = + (com.google.cloud.automl.v1beta1.UndeployModelRequest) obj; + + if (!getName().equals(other.getName())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + NAME_FIELD_NUMBER; + hash = (53 * hash) + getName().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.UndeployModelRequest parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelRequest parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.UndeployModelRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [AutoMl.UndeployModel][google.cloud.automl.v1beta1.AutoMl.UndeployModel].
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.UndeployModelRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.UndeployModelRequest) + com.google.cloud.automl.v1beta1.UndeployModelRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UndeployModelRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UndeployModelRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.UndeployModelRequest.class, + com.google.cloud.automl.v1beta1.UndeployModelRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.UndeployModelRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + name_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UndeployModelRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UndeployModelRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.UndeployModelRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UndeployModelRequest build() { + com.google.cloud.automl.v1beta1.UndeployModelRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UndeployModelRequest buildPartial() { + com.google.cloud.automl.v1beta1.UndeployModelRequest result = + new com.google.cloud.automl.v1beta1.UndeployModelRequest(this); + result.name_ = name_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.UndeployModelRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.UndeployModelRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.UndeployModelRequest other) { + if (other == com.google.cloud.automl.v1beta1.UndeployModelRequest.getDefaultInstance()) + return this; + if (!other.getName().isEmpty()) { + name_ = other.name_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.UndeployModelRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.UndeployModelRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object name_ = ""; + /** + * + * + * 
+     * Required. Resource name of the model to undeploy.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Required. Resource name of the model to undeploy.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Required. Resource name of the model to undeploy.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The name to set. + * @return This builder for chaining. + */ + public Builder setName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + name_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Resource name of the model to undeploy.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return This builder for chaining. + */ + public Builder clearName() { + + name_ = getDefaultInstance().getName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Resource name of the model to undeploy.
+     *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @param value The bytes for name to set. + * @return This builder for chaining. + */ + public Builder setNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + name_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.UndeployModelRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.UndeployModelRequest) + private static final com.google.cloud.automl.v1beta1.UndeployModelRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.UndeployModelRequest(); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public UndeployModelRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new UndeployModelRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UndeployModelRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelRequestOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelRequestOrBuilder.java new file mode 100644 index 000000000..6ae823272 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelRequestOrBuilder.java @@ -0,0 +1,54 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface UndeployModelRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.UndeployModelRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. Resource name of the model to undeploy.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The name. + */ + java.lang.String getName(); + /** + * + * + * 
+   * Required. Resource name of the model to undeploy.
+   *
+ * + * + * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... } + * + * + * @return The bytes for name. + */ + com.google.protobuf.ByteString getNameBytes(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateColumnSpecRequest.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateColumnSpecRequest.java new file mode 100644 index 000000000..ce7feca69 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateColumnSpecRequest.java @@ -0,0 +1,1025 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [AutoMl.UpdateColumnSpec][google.cloud.automl.v1beta1.AutoMl.UpdateColumnSpec]
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.UpdateColumnSpecRequest} + */ +public final class UpdateColumnSpecRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.UpdateColumnSpecRequest) + UpdateColumnSpecRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use UpdateColumnSpecRequest.newBuilder() to construct. + private UpdateColumnSpecRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private UpdateColumnSpecRequest() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new UpdateColumnSpecRequest(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private UpdateColumnSpecRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + com.google.cloud.automl.v1beta1.ColumnSpec.Builder subBuilder = null; + if (columnSpec_ != null) { + subBuilder = columnSpec_.toBuilder(); + } + columnSpec_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ColumnSpec.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(columnSpec_); + columnSpec_ = subBuilder.buildPartial(); + } + + break; + } + case 18: + { + com.google.protobuf.FieldMask.Builder subBuilder = null; + if (updateMask_ != null) { + subBuilder = updateMask_.toBuilder(); + } + updateMask_ = + input.readMessage(com.google.protobuf.FieldMask.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(updateMask_); + updateMask_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateColumnSpecRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateColumnSpecRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest.class, + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest.Builder.class); + } + + public static final int COLUMN_SPEC_FIELD_NUMBER = 1; + private com.google.cloud.automl.v1beta1.ColumnSpec columnSpec_; + /** + * + * + * 
+   * Required. The column spec which replaces the resource on the server.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the columnSpec field is set. + */ + public boolean hasColumnSpec() { + return columnSpec_ != null; + } + /** + * + * + * 
+   * Required. The column spec which replaces the resource on the server.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The columnSpec. + */ + public com.google.cloud.automl.v1beta1.ColumnSpec getColumnSpec() { + return columnSpec_ == null + ? com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance() + : columnSpec_; + } + /** + * + * + * 
+   * Required. The column spec which replaces the resource on the server.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder getColumnSpecOrBuilder() { + return getColumnSpec(); + } + + public static final int UPDATE_MASK_FIELD_NUMBER = 2; + private com.google.protobuf.FieldMask updateMask_; + /** + * + * + * 
+   * The update mask applies to the resource.
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + * + * @return Whether the updateMask field is set. + */ + public boolean hasUpdateMask() { + return updateMask_ != null; + } + /** + * + * + * 
+   * The update mask applies to the resource.
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + * + * @return The updateMask. + */ + public com.google.protobuf.FieldMask getUpdateMask() { + return updateMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : updateMask_; + } + /** + * + * + * 
+   * The update mask applies to the resource.
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() { + return getUpdateMask(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (columnSpec_ != null) { + output.writeMessage(1, getColumnSpec()); + } + if (updateMask_ != null) { + output.writeMessage(2, getUpdateMask()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (columnSpec_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getColumnSpec()); + } + if (updateMask_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getUpdateMask()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest other = + (com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest) obj; + + if (hasColumnSpec() != other.hasColumnSpec()) return false; + if (hasColumnSpec()) { + if (!getColumnSpec().equals(other.getColumnSpec())) return false; + } + if (hasUpdateMask() != other.hasUpdateMask()) return false; + if (hasUpdateMask()) { + if (!getUpdateMask().equals(other.getUpdateMask())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (hasColumnSpec()) { + hash = (37 * hash) + COLUMN_SPEC_FIELD_NUMBER; + hash = (53 * hash) + getColumnSpec().hashCode(); + } + if (hasUpdateMask()) { + hash = (37 * hash) + UPDATE_MASK_FIELD_NUMBER; + hash = (53 * hash) + getUpdateMask().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [AutoMl.UpdateColumnSpec][google.cloud.automl.v1beta1.AutoMl.UpdateColumnSpec]
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.UpdateColumnSpecRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.UpdateColumnSpecRequest) + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateColumnSpecRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateColumnSpecRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest.class, + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (columnSpecBuilder_ == null) { + columnSpec_ = null; + } else { + columnSpec_ = null; + columnSpecBuilder_ = null; + } + if (updateMaskBuilder_ == null) { + updateMask_ = null; + } else { + updateMask_ = null; + updateMaskBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateColumnSpecRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest build() { + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest buildPartial() { + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest result = + new com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest(this); + if (columnSpecBuilder_ == null) { + result.columnSpec_ = columnSpec_; + } else { + result.columnSpec_ = columnSpecBuilder_.build(); + } + if (updateMaskBuilder_ == null) { + result.updateMask_ = updateMask_; + } else { + result.updateMask_ = updateMaskBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest other) { + if (other == com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest.getDefaultInstance()) + return this; + if (other.hasColumnSpec()) { + mergeColumnSpec(other.getColumnSpec()); + } + if (other.hasUpdateMask()) { + mergeUpdateMask(other.getUpdateMask()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private com.google.cloud.automl.v1beta1.ColumnSpec columnSpec_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ColumnSpec, + com.google.cloud.automl.v1beta1.ColumnSpec.Builder, + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder> + columnSpecBuilder_; + /** + * + * + * 
+     * Required. The column spec which replaces the resource on the server.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the columnSpec field is set. + */ + public boolean hasColumnSpec() { + return columnSpecBuilder_ != null || columnSpec_ != null; + } + /** + * + * + * 
+     * Required. The column spec which replaces the resource on the server.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The columnSpec. + */ + public com.google.cloud.automl.v1beta1.ColumnSpec getColumnSpec() { + if (columnSpecBuilder_ == null) { + return columnSpec_ == null + ? com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance() + : columnSpec_; + } else { + return columnSpecBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Required. The column spec which replaces the resource on the server.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder setColumnSpec(com.google.cloud.automl.v1beta1.ColumnSpec value) { + if (columnSpecBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + columnSpec_ = value; + onChanged(); + } else { + columnSpecBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Required. The column spec which replaces the resource on the server.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder setColumnSpec( + com.google.cloud.automl.v1beta1.ColumnSpec.Builder builderForValue) { + if (columnSpecBuilder_ == null) { + columnSpec_ = builderForValue.build(); + onChanged(); + } else { + columnSpecBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Required. The column spec which replaces the resource on the server.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder mergeColumnSpec(com.google.cloud.automl.v1beta1.ColumnSpec value) { + if (columnSpecBuilder_ == null) { + if (columnSpec_ != null) { + columnSpec_ = + com.google.cloud.automl.v1beta1.ColumnSpec.newBuilder(columnSpec_) + .mergeFrom(value) + .buildPartial(); + } else { + columnSpec_ = value; + } + onChanged(); + } else { + columnSpecBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Required. The column spec which replaces the resource on the server.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder clearColumnSpec() { + if (columnSpecBuilder_ == null) { + columnSpec_ = null; + onChanged(); + } else { + columnSpec_ = null; + columnSpecBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Required. The column spec which replaces the resource on the server.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.ColumnSpec.Builder getColumnSpecBuilder() { + + onChanged(); + return getColumnSpecFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Required. The column spec which replaces the resource on the server.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder getColumnSpecOrBuilder() { + if (columnSpecBuilder_ != null) { + return columnSpecBuilder_.getMessageOrBuilder(); + } else { + return columnSpec_ == null + ? com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance() + : columnSpec_; + } + } + /** + * + * + * 
+     * Required. The column spec which replaces the resource on the server.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ColumnSpec, + com.google.cloud.automl.v1beta1.ColumnSpec.Builder, + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder> + getColumnSpecFieldBuilder() { + if (columnSpecBuilder_ == null) { + columnSpecBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ColumnSpec, + com.google.cloud.automl.v1beta1.ColumnSpec.Builder, + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder>( + getColumnSpec(), getParentForChildren(), isClean()); + columnSpec_ = null; + } + return columnSpecBuilder_; + } + + private com.google.protobuf.FieldMask updateMask_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder> + updateMaskBuilder_; + /** + * + * + * 
+     * The update mask applies to the resource.
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + * + * @return Whether the updateMask field is set. + */ + public boolean hasUpdateMask() { + return updateMaskBuilder_ != null || updateMask_ != null; + } + /** + * + * + * 
+     * The update mask applies to the resource.
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + * + * @return The updateMask. + */ + public com.google.protobuf.FieldMask getUpdateMask() { + if (updateMaskBuilder_ == null) { + return updateMask_ == null + ? com.google.protobuf.FieldMask.getDefaultInstance() + : updateMask_; + } else { + return updateMaskBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * The update mask applies to the resource.
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public Builder setUpdateMask(com.google.protobuf.FieldMask value) { + if (updateMaskBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + updateMask_ = value; + onChanged(); + } else { + updateMaskBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * The update mask applies to the resource.
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForValue) { + if (updateMaskBuilder_ == null) { + updateMask_ = builderForValue.build(); + onChanged(); + } else { + updateMaskBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * The update mask applies to the resource.
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) { + if (updateMaskBuilder_ == null) { + if (updateMask_ != null) { + updateMask_ = + com.google.protobuf.FieldMask.newBuilder(updateMask_).mergeFrom(value).buildPartial(); + } else { + updateMask_ = value; + } + onChanged(); + } else { + updateMaskBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * The update mask applies to the resource.
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public Builder clearUpdateMask() { + if (updateMaskBuilder_ == null) { + updateMask_ = null; + onChanged(); + } else { + updateMask_ = null; + updateMaskBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * The update mask applies to the resource.
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() { + + onChanged(); + return getUpdateMaskFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The update mask applies to the resource.
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() { + if (updateMaskBuilder_ != null) { + return updateMaskBuilder_.getMessageOrBuilder(); + } else { + return updateMask_ == null + ? com.google.protobuf.FieldMask.getDefaultInstance() + : updateMask_; + } + } + /** + * + * + * 
+     * The update mask applies to the resource.
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder> + getUpdateMaskFieldBuilder() { + if (updateMaskBuilder_ == null) { + updateMaskBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder>( + getUpdateMask(), getParentForChildren(), isClean()); + updateMask_ = null; + } + return updateMaskBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.UpdateColumnSpecRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.UpdateColumnSpecRequest) + private static final com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest(); + } + + public static com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public UpdateColumnSpecRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new UpdateColumnSpecRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateColumnSpecRequestOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateColumnSpecRequestOrBuilder.java new file mode 100644 index 000000000..1b174356b --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateColumnSpecRequestOrBuilder.java @@ -0,0 +1,101 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface UpdateColumnSpecRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.UpdateColumnSpecRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. The column spec which replaces the resource on the server.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the columnSpec field is set. + */ + boolean hasColumnSpec(); + /** + * + * + * 
+   * Required. The column spec which replaces the resource on the server.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The columnSpec. + */ + com.google.cloud.automl.v1beta1.ColumnSpec getColumnSpec(); + /** + * + * + * 
+   * Required. The column spec which replaces the resource on the server.
+   *
+ * + * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + */ + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder getColumnSpecOrBuilder(); + + /** + * + * + * 
+   * The update mask applies to the resource.
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + * + * @return Whether the updateMask field is set. + */ + boolean hasUpdateMask(); + /** + * + * + * 
+   * The update mask applies to the resource.
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + * + * @return The updateMask. + */ + com.google.protobuf.FieldMask getUpdateMask(); + /** + * + * + * 
+   * The update mask applies to the resource.
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateDatasetRequest.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateDatasetRequest.java new file mode 100644 index 000000000..df62c3a29 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateDatasetRequest.java @@ -0,0 +1,1023 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [AutoMl.UpdateDataset][google.cloud.automl.v1beta1.AutoMl.UpdateDataset]
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.UpdateDatasetRequest} + */ +public final class UpdateDatasetRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.UpdateDatasetRequest) + UpdateDatasetRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use UpdateDatasetRequest.newBuilder() to construct. + private UpdateDatasetRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private UpdateDatasetRequest() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new UpdateDatasetRequest(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private UpdateDatasetRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + com.google.cloud.automl.v1beta1.Dataset.Builder subBuilder = null; + if (dataset_ != null) { + subBuilder = dataset_.toBuilder(); + } + dataset_ = + input.readMessage( + com.google.cloud.automl.v1beta1.Dataset.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(dataset_); + dataset_ = subBuilder.buildPartial(); + } + + break; + } + case 18: + { + com.google.protobuf.FieldMask.Builder subBuilder = null; + if (updateMask_ != null) { + subBuilder = updateMask_.toBuilder(); + } + updateMask_ = + input.readMessage(com.google.protobuf.FieldMask.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(updateMask_); + updateMask_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateDatasetRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateDatasetRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.UpdateDatasetRequest.class, + com.google.cloud.automl.v1beta1.UpdateDatasetRequest.Builder.class); + } + + public static final int DATASET_FIELD_NUMBER = 1; + private com.google.cloud.automl.v1beta1.Dataset dataset_; + /** + * + * + * 
+   * Required. The dataset which replaces the resource on the server.
+   *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the dataset field is set. + */ + public boolean hasDataset() { + return dataset_ != null; + } + /** + * + * + * 
+   * Required. The dataset which replaces the resource on the server.
+   *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The dataset. + */ + public com.google.cloud.automl.v1beta1.Dataset getDataset() { + return dataset_ == null + ? com.google.cloud.automl.v1beta1.Dataset.getDefaultInstance() + : dataset_; + } + /** + * + * + * 
+   * Required. The dataset which replaces the resource on the server.
+   *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.DatasetOrBuilder getDatasetOrBuilder() { + return getDataset(); + } + + public static final int UPDATE_MASK_FIELD_NUMBER = 2; + private com.google.protobuf.FieldMask updateMask_; + /** + * + * + * 
+   * The update mask applies to the resource.
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + * + * @return Whether the updateMask field is set. + */ + public boolean hasUpdateMask() { + return updateMask_ != null; + } + /** + * + * + * 
+   * The update mask applies to the resource.
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + * + * @return The updateMask. + */ + public com.google.protobuf.FieldMask getUpdateMask() { + return updateMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : updateMask_; + } + /** + * + * + * 
+   * The update mask applies to the resource.
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() { + return getUpdateMask(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (dataset_ != null) { + output.writeMessage(1, getDataset()); + } + if (updateMask_ != null) { + output.writeMessage(2, getUpdateMask()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (dataset_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getDataset()); + } + if (updateMask_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getUpdateMask()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.UpdateDatasetRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.UpdateDatasetRequest other = + (com.google.cloud.automl.v1beta1.UpdateDatasetRequest) obj; + + if (hasDataset() != other.hasDataset()) return false; + if (hasDataset()) { + if (!getDataset().equals(other.getDataset())) return false; + } + if (hasUpdateMask() != other.hasUpdateMask()) return false; + if (hasUpdateMask()) { + if (!getUpdateMask().equals(other.getUpdateMask())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (hasDataset()) { + hash = (37 * hash) + DATASET_FIELD_NUMBER; + hash = (53 * hash) + getDataset().hashCode(); + } + if (hasUpdateMask()) { + hash = (37 * hash) + UPDATE_MASK_FIELD_NUMBER; + hash = (53 * hash) + getUpdateMask().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.UpdateDatasetRequest parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.UpdateDatasetRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateDatasetRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.UpdateDatasetRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateDatasetRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.UpdateDatasetRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateDatasetRequest parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.UpdateDatasetRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateDatasetRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.UpdateDatasetRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateDatasetRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.UpdateDatasetRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.UpdateDatasetRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [AutoMl.UpdateDataset][google.cloud.automl.v1beta1.AutoMl.UpdateDataset]
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.UpdateDatasetRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.UpdateDatasetRequest) + com.google.cloud.automl.v1beta1.UpdateDatasetRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateDatasetRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateDatasetRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.UpdateDatasetRequest.class, + com.google.cloud.automl.v1beta1.UpdateDatasetRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.UpdateDatasetRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (datasetBuilder_ == null) { + dataset_ = null; + } else { + dataset_ = null; + datasetBuilder_ = null; + } + if (updateMaskBuilder_ == null) { + updateMask_ = null; + } else { + updateMask_ = null; + updateMaskBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateDatasetRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UpdateDatasetRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.UpdateDatasetRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UpdateDatasetRequest build() { + com.google.cloud.automl.v1beta1.UpdateDatasetRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UpdateDatasetRequest buildPartial() { + com.google.cloud.automl.v1beta1.UpdateDatasetRequest result = + new com.google.cloud.automl.v1beta1.UpdateDatasetRequest(this); + if (datasetBuilder_ == null) { + result.dataset_ = dataset_; + } else { + result.dataset_ = datasetBuilder_.build(); + } + if (updateMaskBuilder_ == null) { + result.updateMask_ = updateMask_; + } else { + result.updateMask_ = updateMaskBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.UpdateDatasetRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.UpdateDatasetRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.UpdateDatasetRequest other) { + if (other == com.google.cloud.automl.v1beta1.UpdateDatasetRequest.getDefaultInstance()) + return this; + if (other.hasDataset()) { + mergeDataset(other.getDataset()); + } + if (other.hasUpdateMask()) { + mergeUpdateMask(other.getUpdateMask()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.UpdateDatasetRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.UpdateDatasetRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private com.google.cloud.automl.v1beta1.Dataset dataset_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.Dataset, + com.google.cloud.automl.v1beta1.Dataset.Builder, + com.google.cloud.automl.v1beta1.DatasetOrBuilder> + datasetBuilder_; + /** + * + * + * 
+     * Required. The dataset which replaces the resource on the server.
+     *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the dataset field is set. + */ + public boolean hasDataset() { + return datasetBuilder_ != null || dataset_ != null; + } + /** + * + * + * 
+     * Required. The dataset which replaces the resource on the server.
+     *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The dataset. + */ + public com.google.cloud.automl.v1beta1.Dataset getDataset() { + if (datasetBuilder_ == null) { + return dataset_ == null + ? com.google.cloud.automl.v1beta1.Dataset.getDefaultInstance() + : dataset_; + } else { + return datasetBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Required. The dataset which replaces the resource on the server.
+     *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder setDataset(com.google.cloud.automl.v1beta1.Dataset value) { + if (datasetBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + dataset_ = value; + onChanged(); + } else { + datasetBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Required. The dataset which replaces the resource on the server.
+     *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder setDataset(com.google.cloud.automl.v1beta1.Dataset.Builder builderForValue) { + if (datasetBuilder_ == null) { + dataset_ = builderForValue.build(); + onChanged(); + } else { + datasetBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Required. The dataset which replaces the resource on the server.
+     *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder mergeDataset(com.google.cloud.automl.v1beta1.Dataset value) { + if (datasetBuilder_ == null) { + if (dataset_ != null) { + dataset_ = + com.google.cloud.automl.v1beta1.Dataset.newBuilder(dataset_) + .mergeFrom(value) + .buildPartial(); + } else { + dataset_ = value; + } + onChanged(); + } else { + datasetBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Required. The dataset which replaces the resource on the server.
+     *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder clearDataset() { + if (datasetBuilder_ == null) { + dataset_ = null; + onChanged(); + } else { + dataset_ = null; + datasetBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Required. The dataset which replaces the resource on the server.
+     *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.Dataset.Builder getDatasetBuilder() { + + onChanged(); + return getDatasetFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Required. The dataset which replaces the resource on the server.
+     *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.DatasetOrBuilder getDatasetOrBuilder() { + if (datasetBuilder_ != null) { + return datasetBuilder_.getMessageOrBuilder(); + } else { + return dataset_ == null + ? com.google.cloud.automl.v1beta1.Dataset.getDefaultInstance() + : dataset_; + } + } + /** + * + * + * 
+     * Required. The dataset which replaces the resource on the server.
+     *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED]; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.Dataset, + com.google.cloud.automl.v1beta1.Dataset.Builder, + com.google.cloud.automl.v1beta1.DatasetOrBuilder> + getDatasetFieldBuilder() { + if (datasetBuilder_ == null) { + datasetBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.Dataset, + com.google.cloud.automl.v1beta1.Dataset.Builder, + com.google.cloud.automl.v1beta1.DatasetOrBuilder>( + getDataset(), getParentForChildren(), isClean()); + dataset_ = null; + } + return datasetBuilder_; + } + + private com.google.protobuf.FieldMask updateMask_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder> + updateMaskBuilder_; + /** + * + * + * 
+     * The update mask applies to the resource.
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + * + * @return Whether the updateMask field is set. + */ + public boolean hasUpdateMask() { + return updateMaskBuilder_ != null || updateMask_ != null; + } + /** + * + * + * 
+     * The update mask applies to the resource.
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + * + * @return The updateMask. + */ + public com.google.protobuf.FieldMask getUpdateMask() { + if (updateMaskBuilder_ == null) { + return updateMask_ == null + ? com.google.protobuf.FieldMask.getDefaultInstance() + : updateMask_; + } else { + return updateMaskBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * The update mask applies to the resource.
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public Builder setUpdateMask(com.google.protobuf.FieldMask value) { + if (updateMaskBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + updateMask_ = value; + onChanged(); + } else { + updateMaskBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * The update mask applies to the resource.
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForValue) { + if (updateMaskBuilder_ == null) { + updateMask_ = builderForValue.build(); + onChanged(); + } else { + updateMaskBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * The update mask applies to the resource.
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) { + if (updateMaskBuilder_ == null) { + if (updateMask_ != null) { + updateMask_ = + com.google.protobuf.FieldMask.newBuilder(updateMask_).mergeFrom(value).buildPartial(); + } else { + updateMask_ = value; + } + onChanged(); + } else { + updateMaskBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * The update mask applies to the resource.
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public Builder clearUpdateMask() { + if (updateMaskBuilder_ == null) { + updateMask_ = null; + onChanged(); + } else { + updateMask_ = null; + updateMaskBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * The update mask applies to the resource.
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() { + + onChanged(); + return getUpdateMaskFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The update mask applies to the resource.
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() { + if (updateMaskBuilder_ != null) { + return updateMaskBuilder_.getMessageOrBuilder(); + } else { + return updateMask_ == null + ? com.google.protobuf.FieldMask.getDefaultInstance() + : updateMask_; + } + } + /** + * + * + * 
+     * The update mask applies to the resource.
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder> + getUpdateMaskFieldBuilder() { + if (updateMaskBuilder_ == null) { + updateMaskBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder>( + getUpdateMask(), getParentForChildren(), isClean()); + updateMask_ = null; + } + return updateMaskBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.UpdateDatasetRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.UpdateDatasetRequest) + private static final com.google.cloud.automl.v1beta1.UpdateDatasetRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.UpdateDatasetRequest(); + } + + public static com.google.cloud.automl.v1beta1.UpdateDatasetRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public UpdateDatasetRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new UpdateDatasetRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UpdateDatasetRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateDatasetRequestOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateDatasetRequestOrBuilder.java new file mode 100644 index 000000000..9919af6b5 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateDatasetRequestOrBuilder.java @@ -0,0 +1,101 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface UpdateDatasetRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.UpdateDatasetRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. The dataset which replaces the resource on the server.
+   *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the dataset field is set. + */ + boolean hasDataset(); + /** + * + * + * 
+   * Required. The dataset which replaces the resource on the server.
+   *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The dataset. + */ + com.google.cloud.automl.v1beta1.Dataset getDataset(); + /** + * + * + * 
+   * Required. The dataset which replaces the resource on the server.
+   *
+ * + * + * .google.cloud.automl.v1beta1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED]; + * + */ + com.google.cloud.automl.v1beta1.DatasetOrBuilder getDatasetOrBuilder(); + + /** + * + * + * 
+   * The update mask applies to the resource.
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + * + * @return Whether the updateMask field is set. + */ + boolean hasUpdateMask(); + /** + * + * + * 
+   * The update mask applies to the resource.
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + * + * @return The updateMask. + */ + com.google.protobuf.FieldMask getUpdateMask(); + /** + * + * + * 
+   * The update mask applies to the resource.
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateTableSpecRequest.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateTableSpecRequest.java new file mode 100644 index 000000000..1d190a333 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateTableSpecRequest.java @@ -0,0 +1,1024 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [AutoMl.UpdateTableSpec][google.cloud.automl.v1beta1.AutoMl.UpdateTableSpec]
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.UpdateTableSpecRequest} + */ +public final class UpdateTableSpecRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.UpdateTableSpecRequest) + UpdateTableSpecRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use UpdateTableSpecRequest.newBuilder() to construct. + private UpdateTableSpecRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private UpdateTableSpecRequest() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new UpdateTableSpecRequest(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private UpdateTableSpecRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + com.google.cloud.automl.v1beta1.TableSpec.Builder subBuilder = null; + if (tableSpec_ != null) { + subBuilder = tableSpec_.toBuilder(); + } + tableSpec_ = + input.readMessage( + com.google.cloud.automl.v1beta1.TableSpec.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(tableSpec_); + tableSpec_ = subBuilder.buildPartial(); + } + + break; + } + case 18: + { + com.google.protobuf.FieldMask.Builder subBuilder = null; + if (updateMask_ != null) { + subBuilder = updateMask_.toBuilder(); + } + updateMask_ = + input.readMessage(com.google.protobuf.FieldMask.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(updateMask_); + updateMask_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateTableSpecRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateTableSpecRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest.class, + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest.Builder.class); + } + + public static final int TABLE_SPEC_FIELD_NUMBER = 1; + private com.google.cloud.automl.v1beta1.TableSpec tableSpec_; + /** + * + * + * 
+   * Required. The table spec which replaces the resource on the server.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the tableSpec field is set. + */ + public boolean hasTableSpec() { + return tableSpec_ != null; + } + /** + * + * + * 
+   * Required. The table spec which replaces the resource on the server.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The tableSpec. + */ + public com.google.cloud.automl.v1beta1.TableSpec getTableSpec() { + return tableSpec_ == null + ? com.google.cloud.automl.v1beta1.TableSpec.getDefaultInstance() + : tableSpec_; + } + /** + * + * + * 
+   * Required. The table spec which replaces the resource on the server.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.TableSpecOrBuilder getTableSpecOrBuilder() { + return getTableSpec(); + } + + public static final int UPDATE_MASK_FIELD_NUMBER = 2; + private com.google.protobuf.FieldMask updateMask_; + /** + * + * + * 
+   * The update mask applies to the resource.
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + * + * @return Whether the updateMask field is set. + */ + public boolean hasUpdateMask() { + return updateMask_ != null; + } + /** + * + * + * 
+   * The update mask applies to the resource.
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + * + * @return The updateMask. + */ + public com.google.protobuf.FieldMask getUpdateMask() { + return updateMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : updateMask_; + } + /** + * + * + * 
+   * The update mask applies to the resource.
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() { + return getUpdateMask(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (tableSpec_ != null) { + output.writeMessage(1, getTableSpec()); + } + if (updateMask_ != null) { + output.writeMessage(2, getUpdateMask()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (tableSpec_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getTableSpec()); + } + if (updateMask_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getUpdateMask()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.UpdateTableSpecRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest other = + (com.google.cloud.automl.v1beta1.UpdateTableSpecRequest) obj; + + if (hasTableSpec() != other.hasTableSpec()) return false; + if (hasTableSpec()) { + if (!getTableSpec().equals(other.getTableSpec())) return false; + } + if (hasUpdateMask() != other.hasUpdateMask()) return false; + if (hasUpdateMask()) { + if (!getUpdateMask().equals(other.getUpdateMask())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (hasTableSpec()) { + hash = (37 * hash) + TABLE_SPEC_FIELD_NUMBER; + hash = (53 * hash) + getTableSpec().hashCode(); + } + if (hasUpdateMask()) { + hash = (37 * hash) + UPDATE_MASK_FIELD_NUMBER; + hash = (53 * hash) + getUpdateMask().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.UpdateTableSpecRequest parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.UpdateTableSpecRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateTableSpecRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.UpdateTableSpecRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateTableSpecRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.UpdateTableSpecRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateTableSpecRequest parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.UpdateTableSpecRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateTableSpecRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.UpdateTableSpecRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateTableSpecRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.UpdateTableSpecRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [AutoMl.UpdateTableSpec][google.cloud.automl.v1beta1.AutoMl.UpdateTableSpec]
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.UpdateTableSpecRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.UpdateTableSpecRequest) + com.google.cloud.automl.v1beta1.UpdateTableSpecRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateTableSpecRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateTableSpecRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest.class, + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.UpdateTableSpecRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (tableSpecBuilder_ == null) { + tableSpec_ = null; + } else { + tableSpec_ = null; + tableSpecBuilder_ = null; + } + if (updateMaskBuilder_ == null) { + updateMask_ = null; + } else { + updateMask_ = null; + updateMaskBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateTableSpecRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UpdateTableSpecRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.UpdateTableSpecRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UpdateTableSpecRequest build() { + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UpdateTableSpecRequest buildPartial() { + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest result = + new com.google.cloud.automl.v1beta1.UpdateTableSpecRequest(this); + if (tableSpecBuilder_ == null) { + result.tableSpec_ = tableSpec_; + } else { + result.tableSpec_ = tableSpecBuilder_.build(); + } + if (updateMaskBuilder_ == null) { + result.updateMask_ = updateMask_; + } else { + result.updateMask_ = updateMaskBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.UpdateTableSpecRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.UpdateTableSpecRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.UpdateTableSpecRequest other) { + if (other == com.google.cloud.automl.v1beta1.UpdateTableSpecRequest.getDefaultInstance()) + return this; + if (other.hasTableSpec()) { + mergeTableSpec(other.getTableSpec()); + } + if (other.hasUpdateMask()) { + mergeUpdateMask(other.getUpdateMask()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.UpdateTableSpecRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private com.google.cloud.automl.v1beta1.TableSpec tableSpec_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TableSpec, + com.google.cloud.automl.v1beta1.TableSpec.Builder, + com.google.cloud.automl.v1beta1.TableSpecOrBuilder> + tableSpecBuilder_; + /** + * + * + * 
+     * Required. The table spec which replaces the resource on the server.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the tableSpec field is set. + */ + public boolean hasTableSpec() { + return tableSpecBuilder_ != null || tableSpec_ != null; + } + /** + * + * + * 
+     * Required. The table spec which replaces the resource on the server.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The tableSpec. + */ + public com.google.cloud.automl.v1beta1.TableSpec getTableSpec() { + if (tableSpecBuilder_ == null) { + return tableSpec_ == null + ? com.google.cloud.automl.v1beta1.TableSpec.getDefaultInstance() + : tableSpec_; + } else { + return tableSpecBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Required. The table spec which replaces the resource on the server.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder setTableSpec(com.google.cloud.automl.v1beta1.TableSpec value) { + if (tableSpecBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + tableSpec_ = value; + onChanged(); + } else { + tableSpecBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Required. The table spec which replaces the resource on the server.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder setTableSpec(com.google.cloud.automl.v1beta1.TableSpec.Builder builderForValue) { + if (tableSpecBuilder_ == null) { + tableSpec_ = builderForValue.build(); + onChanged(); + } else { + tableSpecBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Required. The table spec which replaces the resource on the server.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder mergeTableSpec(com.google.cloud.automl.v1beta1.TableSpec value) { + if (tableSpecBuilder_ == null) { + if (tableSpec_ != null) { + tableSpec_ = + com.google.cloud.automl.v1beta1.TableSpec.newBuilder(tableSpec_) + .mergeFrom(value) + .buildPartial(); + } else { + tableSpec_ = value; + } + onChanged(); + } else { + tableSpecBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Required. The table spec which replaces the resource on the server.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public Builder clearTableSpec() { + if (tableSpecBuilder_ == null) { + tableSpec_ = null; + onChanged(); + } else { + tableSpec_ = null; + tableSpecBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Required. The table spec which replaces the resource on the server.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.TableSpec.Builder getTableSpecBuilder() { + + onChanged(); + return getTableSpecFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Required. The table spec which replaces the resource on the server.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + */ + public com.google.cloud.automl.v1beta1.TableSpecOrBuilder getTableSpecOrBuilder() { + if (tableSpecBuilder_ != null) { + return tableSpecBuilder_.getMessageOrBuilder(); + } else { + return tableSpec_ == null + ? com.google.cloud.automl.v1beta1.TableSpec.getDefaultInstance() + : tableSpec_; + } + } + /** + * + * + * 
+     * Required. The table spec which replaces the resource on the server.
+     *
+ * + * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TableSpec, + com.google.cloud.automl.v1beta1.TableSpec.Builder, + com.google.cloud.automl.v1beta1.TableSpecOrBuilder> + getTableSpecFieldBuilder() { + if (tableSpecBuilder_ == null) { + tableSpecBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TableSpec, + com.google.cloud.automl.v1beta1.TableSpec.Builder, + com.google.cloud.automl.v1beta1.TableSpecOrBuilder>( + getTableSpec(), getParentForChildren(), isClean()); + tableSpec_ = null; + } + return tableSpecBuilder_; + } + + private com.google.protobuf.FieldMask updateMask_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder> + updateMaskBuilder_; + /** + * + * + * 
+     * The update mask applies to the resource.
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + * + * @return Whether the updateMask field is set. + */ + public boolean hasUpdateMask() { + return updateMaskBuilder_ != null || updateMask_ != null; + } + /** + * + * + * 
+     * The update mask applies to the resource.
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + * + * @return The updateMask. + */ + public com.google.protobuf.FieldMask getUpdateMask() { + if (updateMaskBuilder_ == null) { + return updateMask_ == null + ? com.google.protobuf.FieldMask.getDefaultInstance() + : updateMask_; + } else { + return updateMaskBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * The update mask applies to the resource.
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public Builder setUpdateMask(com.google.protobuf.FieldMask value) { + if (updateMaskBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + updateMask_ = value; + onChanged(); + } else { + updateMaskBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * The update mask applies to the resource.
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForValue) { + if (updateMaskBuilder_ == null) { + updateMask_ = builderForValue.build(); + onChanged(); + } else { + updateMaskBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * The update mask applies to the resource.
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) { + if (updateMaskBuilder_ == null) { + if (updateMask_ != null) { + updateMask_ = + com.google.protobuf.FieldMask.newBuilder(updateMask_).mergeFrom(value).buildPartial(); + } else { + updateMask_ = value; + } + onChanged(); + } else { + updateMaskBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * The update mask applies to the resource.
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public Builder clearUpdateMask() { + if (updateMaskBuilder_ == null) { + updateMask_ = null; + onChanged(); + } else { + updateMask_ = null; + updateMaskBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * The update mask applies to the resource.
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() { + + onChanged(); + return getUpdateMaskFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The update mask applies to the resource.
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() { + if (updateMaskBuilder_ != null) { + return updateMaskBuilder_.getMessageOrBuilder(); + } else { + return updateMask_ == null + ? com.google.protobuf.FieldMask.getDefaultInstance() + : updateMask_; + } + } + /** + * + * + * 
+     * The update mask applies to the resource.
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder> + getUpdateMaskFieldBuilder() { + if (updateMaskBuilder_ == null) { + updateMaskBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder>( + getUpdateMask(), getParentForChildren(), isClean()); + updateMask_ = null; + } + return updateMaskBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.UpdateTableSpecRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.UpdateTableSpecRequest) + private static final com.google.cloud.automl.v1beta1.UpdateTableSpecRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.UpdateTableSpecRequest(); + } + + public static com.google.cloud.automl.v1beta1.UpdateTableSpecRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public UpdateTableSpecRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new UpdateTableSpecRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UpdateTableSpecRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateTableSpecRequestOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateTableSpecRequestOrBuilder.java new file mode 100644 index 000000000..bd28582e1 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateTableSpecRequestOrBuilder.java @@ -0,0 +1,101 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface UpdateTableSpecRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.UpdateTableSpecRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required. The table spec which replaces the resource on the server.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return Whether the tableSpec field is set. + */ + boolean hasTableSpec(); + /** + * + * + * 
+   * Required. The table spec which replaces the resource on the server.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + * + * @return The tableSpec. + */ + com.google.cloud.automl.v1beta1.TableSpec getTableSpec(); + /** + * + * + * 
+   * Required. The table spec which replaces the resource on the server.
+   *
+ * + * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1 [(.google.api.field_behavior) = REQUIRED]; + * + */ + com.google.cloud.automl.v1beta1.TableSpecOrBuilder getTableSpecOrBuilder(); + + /** + * + * + * 
+   * The update mask applies to the resource.
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + * + * @return Whether the updateMask field is set. + */ + boolean hasUpdateMask(); + /** + * + * + * 
+   * The update mask applies to the resource.
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + * + * @return The updateMask. + */ + com.google.protobuf.FieldMask getUpdateMask(); + /** + * + * + * 
+   * The update mask applies to the resource.
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationDatasetMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationDatasetMetadata.java new file mode 100644 index 000000000..c238cd3c4 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationDatasetMetadata.java @@ -0,0 +1,471 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/video.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Dataset metadata specific to video classification.
+ * All Video Classification datasets are treated as multi label.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata} + */ +public final class VideoClassificationDatasetMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) + VideoClassificationDatasetMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use VideoClassificationDatasetMetadata.newBuilder() to construct. + private VideoClassificationDatasetMetadata( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private VideoClassificationDatasetMetadata() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new VideoClassificationDatasetMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private VideoClassificationDatasetMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoClassificationDatasetMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoClassificationDatasetMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.class, + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.Builder.class); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata other = + (com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) obj; + + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata parseFrom( + byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Dataset metadata specific to video classification.
+   * All Video Classification datasets are treated as multi label.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoClassificationDatasetMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoClassificationDatasetMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.class, + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.Builder.class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoClassificationDatasetMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata + .getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata build() { + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata buildPartial() { + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata result = + new com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata(this); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata other) { + if (other + == com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata + .getDefaultInstance()) return this; + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) + private static final com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata(); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public VideoClassificationDatasetMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new VideoClassificationDatasetMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationDatasetMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationDatasetMetadataOrBuilder.java new file mode 100644 index 000000000..61778ba6a --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationDatasetMetadataOrBuilder.java @@ -0,0 +1,24 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/video.proto + +package com.google.cloud.automl.v1beta1; + +public interface VideoClassificationDatasetMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) + com.google.protobuf.MessageOrBuilder {} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationModelMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationModelMetadata.java new file mode 100644 index 000000000..07955ce65 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationModelMetadata.java @@ -0,0 +1,465 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/video.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Model metadata specific to video classification.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.VideoClassificationModelMetadata} + */ +public final class VideoClassificationModelMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.VideoClassificationModelMetadata) + VideoClassificationModelMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use VideoClassificationModelMetadata.newBuilder() to construct. + private VideoClassificationModelMetadata( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private VideoClassificationModelMetadata() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new VideoClassificationModelMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private VideoClassificationModelMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoClassificationModelMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoClassificationModelMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.class, + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.Builder.class); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata other = + (com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata) obj; + + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata parseFrom( + byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Model metadata specific to video classification.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.VideoClassificationModelMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.VideoClassificationModelMetadata) + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoClassificationModelMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoClassificationModelMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.class, + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoClassificationModelMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata build() { + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata buildPartial() { + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata result = + new com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata(this); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata other) { + if (other + == com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.getDefaultInstance()) + return this; + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.VideoClassificationModelMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.VideoClassificationModelMetadata) + private static final com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata(); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public VideoClassificationModelMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new VideoClassificationModelMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationModelMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationModelMetadataOrBuilder.java new file mode 100644 index 000000000..7de1b00d2 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationModelMetadataOrBuilder.java @@ -0,0 +1,24 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/video.proto + +package com.google.cloud.automl.v1beta1; + +public interface VideoClassificationModelMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.VideoClassificationModelMetadata) + com.google.protobuf.MessageOrBuilder {} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingAnnotation.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingAnnotation.java new file mode 100644 index 000000000..f18b477fe --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingAnnotation.java @@ -0,0 +1,1354 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/detection.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Annotation details for video object tracking.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation} + */ +public final class VideoObjectTrackingAnnotation extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation) + VideoObjectTrackingAnnotationOrBuilder { + private static final long serialVersionUID = 0L; + // Use VideoObjectTrackingAnnotation.newBuilder() to construct. + private VideoObjectTrackingAnnotation(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private VideoObjectTrackingAnnotation() { + instanceId_ = ""; + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new VideoObjectTrackingAnnotation(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private VideoObjectTrackingAnnotation( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + instanceId_ = s; + break; + } + case 18: + { + com.google.protobuf.Duration.Builder subBuilder = null; + if (timeOffset_ != null) { + subBuilder = timeOffset_.toBuilder(); + } + timeOffset_ = + input.readMessage(com.google.protobuf.Duration.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(timeOffset_); + timeOffset_ = subBuilder.buildPartial(); + } + + break; + } + case 26: + { + com.google.cloud.automl.v1beta1.BoundingPoly.Builder subBuilder = null; + if (boundingBox_ != null) { + subBuilder = boundingBox_.toBuilder(); + } + boundingBox_ = + input.readMessage( + com.google.cloud.automl.v1beta1.BoundingPoly.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(boundingBox_); + boundingBox_ = subBuilder.buildPartial(); + } + + break; + } + case 37: + { + score_ = input.readFloat(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingAnnotation_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingAnnotation_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation.class, + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation.Builder.class); + } + + public static final int INSTANCE_ID_FIELD_NUMBER = 1; + private volatile java.lang.Object instanceId_; + /** + * + * + * 
+   * Optional. The instance of the object, expressed as a positive integer. Used to tell
+   * apart objects of the same type (i.e. AnnotationSpec) when multiple are
+   * present on a single example.
+   * NOTE: Instance ID prediction quality is not a part of model evaluation and
+   * is done as best effort. Especially in cases when an entity goes
+   * off-screen for a longer time (minutes), when it comes back it may be given
+   * a new instance ID.
+   *
+ * + * string instance_id = 1; + * + * @return The instanceId. + */ + public java.lang.String getInstanceId() { + java.lang.Object ref = instanceId_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + instanceId_ = s; + return s; + } + } + /** + * + * + * 
+   * Optional. The instance of the object, expressed as a positive integer. Used to tell
+   * apart objects of the same type (i.e. AnnotationSpec) when multiple are
+   * present on a single example.
+   * NOTE: Instance ID prediction quality is not a part of model evaluation and
+   * is done as best effort. Especially in cases when an entity goes
+   * off-screen for a longer time (minutes), when it comes back it may be given
+   * a new instance ID.
+   *
+ * + * string instance_id = 1; + * + * @return The bytes for instanceId. + */ + public com.google.protobuf.ByteString getInstanceIdBytes() { + java.lang.Object ref = instanceId_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + instanceId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int TIME_OFFSET_FIELD_NUMBER = 2; + private com.google.protobuf.Duration timeOffset_; + /** + * + * + * 
+   * Required. A time (frame) of a video to which this annotation pertains.
+   * Represented as the duration since the video's start.
+   *
+ * + * .google.protobuf.Duration time_offset = 2; + * + * @return Whether the timeOffset field is set. + */ + public boolean hasTimeOffset() { + return timeOffset_ != null; + } + /** + * + * + * 
+   * Required. A time (frame) of a video to which this annotation pertains.
+   * Represented as the duration since the video's start.
+   *
+ * + * .google.protobuf.Duration time_offset = 2; + * + * @return The timeOffset. + */ + public com.google.protobuf.Duration getTimeOffset() { + return timeOffset_ == null ? com.google.protobuf.Duration.getDefaultInstance() : timeOffset_; + } + /** + * + * + * 
+   * Required. A time (frame) of a video to which this annotation pertains.
+   * Represented as the duration since the video's start.
+   *
+ * + * .google.protobuf.Duration time_offset = 2; + */ + public com.google.protobuf.DurationOrBuilder getTimeOffsetOrBuilder() { + return getTimeOffset(); + } + + public static final int BOUNDING_BOX_FIELD_NUMBER = 3; + private com.google.cloud.automl.v1beta1.BoundingPoly boundingBox_; + /** + * + * + * 
+   * Required. The rectangle representing the object location on the frame (i.e.
+   * at the time_offset of the video).
+   *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 3; + * + * @return Whether the boundingBox field is set. + */ + public boolean hasBoundingBox() { + return boundingBox_ != null; + } + /** + * + * + * 
+   * Required. The rectangle representing the object location on the frame (i.e.
+   * at the time_offset of the video).
+   *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 3; + * + * @return The boundingBox. + */ + public com.google.cloud.automl.v1beta1.BoundingPoly getBoundingBox() { + return boundingBox_ == null + ? com.google.cloud.automl.v1beta1.BoundingPoly.getDefaultInstance() + : boundingBox_; + } + /** + * + * + * 
+   * Required. The rectangle representing the object location on the frame (i.e.
+   * at the time_offset of the video).
+   *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 3; + */ + public com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder getBoundingBoxOrBuilder() { + return getBoundingBox(); + } + + public static final int SCORE_FIELD_NUMBER = 4; + private float score_; + /** + * + * + * 
+   * Output only. The confidence that this annotation is positive for the video at
+   * the time_offset, value in [0, 1], higher means higher positivity
+   * confidence. For annotations created by the user the score is 1. When
+   * user approves an annotation, the original float score is kept (and not
+   * changed to 1).
+   *
+ * + * float score = 4; + * + * @return The score. + */ + public float getScore() { + return score_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getInstanceIdBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, instanceId_); + } + if (timeOffset_ != null) { + output.writeMessage(2, getTimeOffset()); + } + if (boundingBox_ != null) { + output.writeMessage(3, getBoundingBox()); + } + if (score_ != 0F) { + output.writeFloat(4, score_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getInstanceIdBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, instanceId_); + } + if (timeOffset_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getTimeOffset()); + } + if (boundingBox_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, getBoundingBox()); + } + if (score_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(4, score_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation other = + (com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation) obj; + + if (!getInstanceId().equals(other.getInstanceId())) return false; + if (hasTimeOffset() != other.hasTimeOffset()) return false; + if (hasTimeOffset()) { + if (!getTimeOffset().equals(other.getTimeOffset())) return false; + } + if (hasBoundingBox() != other.hasBoundingBox()) return false; + if (hasBoundingBox()) { + if (!getBoundingBox().equals(other.getBoundingBox())) return false; + } + if (java.lang.Float.floatToIntBits(getScore()) + != java.lang.Float.floatToIntBits(other.getScore())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + INSTANCE_ID_FIELD_NUMBER; + hash = (53 * hash) + getInstanceId().hashCode(); + if (hasTimeOffset()) { + hash = (37 * hash) + TIME_OFFSET_FIELD_NUMBER; + hash = (53 * hash) + getTimeOffset().hashCode(); + } + if (hasBoundingBox()) { + hash = (37 * hash) + BOUNDING_BOX_FIELD_NUMBER; + hash = (53 * hash) + getBoundingBox().hashCode(); + } + hash = (37 * hash) + SCORE_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getScore()); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Annotation details for video object tracking.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation) + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotationOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingAnnotation_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingAnnotation_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation.class, + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + instanceId_ = ""; + + if (timeOffsetBuilder_ == null) { + timeOffset_ = null; + } else { + timeOffset_ = null; + timeOffsetBuilder_ = null; + } + if (boundingBoxBuilder_ == null) { + boundingBox_ = null; + } else { + boundingBox_ = null; + boundingBoxBuilder_ = null; + } + score_ = 0F; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingAnnotation_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation build() { + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation buildPartial() { + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation result = + new com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation(this); + result.instanceId_ = instanceId_; + if (timeOffsetBuilder_ == null) { + result.timeOffset_ = timeOffset_; + } else { + result.timeOffset_ = timeOffsetBuilder_.build(); + } + if (boundingBoxBuilder_ == null) { + result.boundingBox_ = boundingBox_; + } else { + result.boundingBox_ = boundingBoxBuilder_.build(); + } + result.score_ = score_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation) { + return mergeFrom((com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation other) { + if (other + == com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation.getDefaultInstance()) + return this; + if (!other.getInstanceId().isEmpty()) { + instanceId_ = other.instanceId_; + onChanged(); + } + if (other.hasTimeOffset()) { + mergeTimeOffset(other.getTimeOffset()); + } + if (other.hasBoundingBox()) { + mergeBoundingBox(other.getBoundingBox()); + } + if (other.getScore() != 0F) { + setScore(other.getScore()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object instanceId_ = ""; + /** + * + * + * 
+     * Optional. The instance of the object, expressed as a positive integer. Used to tell
+     * apart objects of the same type (i.e. AnnotationSpec) when multiple are
+     * present on a single example.
+     * NOTE: Instance ID prediction quality is not a part of model evaluation and
+     * is done as best effort. Especially in cases when an entity goes
+     * off-screen for a longer time (minutes), when it comes back it may be given
+     * a new instance ID.
+     *
+ * + * string instance_id = 1; + * + * @return The instanceId. + */ + public java.lang.String getInstanceId() { + java.lang.Object ref = instanceId_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + instanceId_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Optional. The instance of the object, expressed as a positive integer. Used to tell
+     * apart objects of the same type (i.e. AnnotationSpec) when multiple are
+     * present on a single example.
+     * NOTE: Instance ID prediction quality is not a part of model evaluation and
+     * is done as best effort. Especially in cases when an entity goes
+     * off-screen for a longer time (minutes), when it comes back it may be given
+     * a new instance ID.
+     *
+ * + * string instance_id = 1; + * + * @return The bytes for instanceId. + */ + public com.google.protobuf.ByteString getInstanceIdBytes() { + java.lang.Object ref = instanceId_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + instanceId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Optional. The instance of the object, expressed as a positive integer. Used to tell
+     * apart objects of the same type (i.e. AnnotationSpec) when multiple are
+     * present on a single example.
+     * NOTE: Instance ID prediction quality is not a part of model evaluation and
+     * is done as best effort. Especially in cases when an entity goes
+     * off-screen for a longer time (minutes), when it comes back it may be given
+     * a new instance ID.
+     *
+ * + * string instance_id = 1; + * + * @param value The instanceId to set. + * @return This builder for chaining. + */ + public Builder setInstanceId(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + instanceId_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Optional. The instance of the object, expressed as a positive integer. Used to tell
+     * apart objects of the same type (i.e. AnnotationSpec) when multiple are
+     * present on a single example.
+     * NOTE: Instance ID prediction quality is not a part of model evaluation and
+     * is done as best effort. Especially in cases when an entity goes
+     * off-screen for a longer time (minutes), when it comes back it may be given
+     * a new instance ID.
+     *
+ * + * string instance_id = 1; + * + * @return This builder for chaining. + */ + public Builder clearInstanceId() { + + instanceId_ = getDefaultInstance().getInstanceId(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Optional. The instance of the object, expressed as a positive integer. Used to tell
+     * apart objects of the same type (i.e. AnnotationSpec) when multiple are
+     * present on a single example.
+     * NOTE: Instance ID prediction quality is not a part of model evaluation and
+     * is done as best effort. Especially in cases when an entity goes
+     * off-screen for a longer time (minutes), when it comes back it may be given
+     * a new instance ID.
+     *
+ * + * string instance_id = 1; + * + * @param value The bytes for instanceId to set. + * @return This builder for chaining. + */ + public Builder setInstanceIdBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + instanceId_ = value; + onChanged(); + return this; + } + + private com.google.protobuf.Duration timeOffset_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Duration, + com.google.protobuf.Duration.Builder, + com.google.protobuf.DurationOrBuilder> + timeOffsetBuilder_; + /** + * + * + * 
+     * Required. A time (frame) of a video to which this annotation pertains.
+     * Represented as the duration since the video's start.
+     *
+ * + * .google.protobuf.Duration time_offset = 2; + * + * @return Whether the timeOffset field is set. + */ + public boolean hasTimeOffset() { + return timeOffsetBuilder_ != null || timeOffset_ != null; + } + /** + * + * + * 
+     * Required. A time (frame) of a video to which this annotation pertains.
+     * Represented as the duration since the video's start.
+     *
+ * + * .google.protobuf.Duration time_offset = 2; + * + * @return The timeOffset. + */ + public com.google.protobuf.Duration getTimeOffset() { + if (timeOffsetBuilder_ == null) { + return timeOffset_ == null + ? com.google.protobuf.Duration.getDefaultInstance() + : timeOffset_; + } else { + return timeOffsetBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Required. A time (frame) of a video to which this annotation pertains.
+     * Represented as the duration since the video's start.
+     *
+ * + * .google.protobuf.Duration time_offset = 2; + */ + public Builder setTimeOffset(com.google.protobuf.Duration value) { + if (timeOffsetBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + timeOffset_ = value; + onChanged(); + } else { + timeOffsetBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Required. A time (frame) of a video to which this annotation pertains.
+     * Represented as the duration since the video's start.
+     *
+ * + * .google.protobuf.Duration time_offset = 2; + */ + public Builder setTimeOffset(com.google.protobuf.Duration.Builder builderForValue) { + if (timeOffsetBuilder_ == null) { + timeOffset_ = builderForValue.build(); + onChanged(); + } else { + timeOffsetBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Required. A time (frame) of a video to which this annotation pertains.
+     * Represented as the duration since the video's start.
+     *
+ * + * .google.protobuf.Duration time_offset = 2; + */ + public Builder mergeTimeOffset(com.google.protobuf.Duration value) { + if (timeOffsetBuilder_ == null) { + if (timeOffset_ != null) { + timeOffset_ = + com.google.protobuf.Duration.newBuilder(timeOffset_).mergeFrom(value).buildPartial(); + } else { + timeOffset_ = value; + } + onChanged(); + } else { + timeOffsetBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Required. A time (frame) of a video to which this annotation pertains.
+     * Represented as the duration since the video's start.
+     *
+ * + * .google.protobuf.Duration time_offset = 2; + */ + public Builder clearTimeOffset() { + if (timeOffsetBuilder_ == null) { + timeOffset_ = null; + onChanged(); + } else { + timeOffset_ = null; + timeOffsetBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Required. A time (frame) of a video to which this annotation pertains.
+     * Represented as the duration since the video's start.
+     *
+ * + * .google.protobuf.Duration time_offset = 2; + */ + public com.google.protobuf.Duration.Builder getTimeOffsetBuilder() { + + onChanged(); + return getTimeOffsetFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Required. A time (frame) of a video to which this annotation pertains.
+     * Represented as the duration since the video's start.
+     *
+ * + * .google.protobuf.Duration time_offset = 2; + */ + public com.google.protobuf.DurationOrBuilder getTimeOffsetOrBuilder() { + if (timeOffsetBuilder_ != null) { + return timeOffsetBuilder_.getMessageOrBuilder(); + } else { + return timeOffset_ == null + ? com.google.protobuf.Duration.getDefaultInstance() + : timeOffset_; + } + } + /** + * + * + * 
+     * Required. A time (frame) of a video to which this annotation pertains.
+     * Represented as the duration since the video's start.
+     *
+ * + * .google.protobuf.Duration time_offset = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Duration, + com.google.protobuf.Duration.Builder, + com.google.protobuf.DurationOrBuilder> + getTimeOffsetFieldBuilder() { + if (timeOffsetBuilder_ == null) { + timeOffsetBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Duration, + com.google.protobuf.Duration.Builder, + com.google.protobuf.DurationOrBuilder>( + getTimeOffset(), getParentForChildren(), isClean()); + timeOffset_ = null; + } + return timeOffsetBuilder_; + } + + private com.google.cloud.automl.v1beta1.BoundingPoly boundingBox_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BoundingPoly, + com.google.cloud.automl.v1beta1.BoundingPoly.Builder, + com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder> + boundingBoxBuilder_; + /** + * + * + * 
+     * Required. The rectangle representing the object location on the frame (i.e.
+     * at the time_offset of the video).
+     *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 3; + * + * @return Whether the boundingBox field is set. + */ + public boolean hasBoundingBox() { + return boundingBoxBuilder_ != null || boundingBox_ != null; + } + /** + * + * + * 
+     * Required. The rectangle representing the object location on the frame (i.e.
+     * at the time_offset of the video).
+     *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 3; + * + * @return The boundingBox. + */ + public com.google.cloud.automl.v1beta1.BoundingPoly getBoundingBox() { + if (boundingBoxBuilder_ == null) { + return boundingBox_ == null + ? com.google.cloud.automl.v1beta1.BoundingPoly.getDefaultInstance() + : boundingBox_; + } else { + return boundingBoxBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Required. The rectangle representing the object location on the frame (i.e.
+     * at the time_offset of the video).
+     *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 3; + */ + public Builder setBoundingBox(com.google.cloud.automl.v1beta1.BoundingPoly value) { + if (boundingBoxBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + boundingBox_ = value; + onChanged(); + } else { + boundingBoxBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Required. The rectangle representing the object location on the frame (i.e.
+     * at the time_offset of the video).
+     *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 3; + */ + public Builder setBoundingBox( + com.google.cloud.automl.v1beta1.BoundingPoly.Builder builderForValue) { + if (boundingBoxBuilder_ == null) { + boundingBox_ = builderForValue.build(); + onChanged(); + } else { + boundingBoxBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Required. The rectangle representing the object location on the frame (i.e.
+     * at the time_offset of the video).
+     *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 3; + */ + public Builder mergeBoundingBox(com.google.cloud.automl.v1beta1.BoundingPoly value) { + if (boundingBoxBuilder_ == null) { + if (boundingBox_ != null) { + boundingBox_ = + com.google.cloud.automl.v1beta1.BoundingPoly.newBuilder(boundingBox_) + .mergeFrom(value) + .buildPartial(); + } else { + boundingBox_ = value; + } + onChanged(); + } else { + boundingBoxBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Required. The rectangle representing the object location on the frame (i.e.
+     * at the time_offset of the video).
+     *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 3; + */ + public Builder clearBoundingBox() { + if (boundingBoxBuilder_ == null) { + boundingBox_ = null; + onChanged(); + } else { + boundingBox_ = null; + boundingBoxBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Required. The rectangle representing the object location on the frame (i.e.
+     * at the time_offset of the video).
+     *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 3; + */ + public com.google.cloud.automl.v1beta1.BoundingPoly.Builder getBoundingBoxBuilder() { + + onChanged(); + return getBoundingBoxFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Required. The rectangle representing the object location on the frame (i.e.
+     * at the time_offset of the video).
+     *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 3; + */ + public com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder getBoundingBoxOrBuilder() { + if (boundingBoxBuilder_ != null) { + return boundingBoxBuilder_.getMessageOrBuilder(); + } else { + return boundingBox_ == null + ? com.google.cloud.automl.v1beta1.BoundingPoly.getDefaultInstance() + : boundingBox_; + } + } + /** + * + * + * 
+     * Required. The rectangle representing the object location on the frame (i.e.
+     * at the time_offset of the video).
+     *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 3; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BoundingPoly, + com.google.cloud.automl.v1beta1.BoundingPoly.Builder, + com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder> + getBoundingBoxFieldBuilder() { + if (boundingBoxBuilder_ == null) { + boundingBoxBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.BoundingPoly, + com.google.cloud.automl.v1beta1.BoundingPoly.Builder, + com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder>( + getBoundingBox(), getParentForChildren(), isClean()); + boundingBox_ = null; + } + return boundingBoxBuilder_; + } + + private float score_; + /** + * + * + * 
+     * Output only. The confidence that this annotation is positive for the video at
+     * the time_offset, value in [0, 1], higher means higher positivity
+     * confidence. For annotations created by the user the score is 1. When
+     * user approves an annotation, the original float score is kept (and not
+     * changed to 1).
+     *
+ * + * float score = 4; + * + * @return The score. + */ + public float getScore() { + return score_; + } + /** + * + * + * 
+     * Output only. The confidence that this annotation is positive for the video at
+     * the time_offset, value in [0, 1], higher means higher positivity
+     * confidence. For annotations created by the user the score is 1. When
+     * user approves an annotation, the original float score is kept (and not
+     * changed to 1).
+     *
+ * + * float score = 4; + * + * @param value The score to set. + * @return This builder for chaining. + */ + public Builder setScore(float value) { + + score_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The confidence that this annotation is positive for the video at
+     * the time_offset, value in [0, 1], higher means higher positivity
+     * confidence. For annotations created by the user the score is 1. When
+     * user approves an annotation, the original float score is kept (and not
+     * changed to 1).
+     *
+ * + * float score = 4; + * + * @return This builder for chaining. + */ + public Builder clearScore() { + + score_ = 0F; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation) + private static final com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation(); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public VideoObjectTrackingAnnotation parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new VideoObjectTrackingAnnotation(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingAnnotationOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingAnnotationOrBuilder.java new file mode 100644 index 000000000..2547cb92d --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingAnnotationOrBuilder.java @@ -0,0 +1,155 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/detection.proto + +package com.google.cloud.automl.v1beta1; + +public interface VideoObjectTrackingAnnotationOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Optional. The instance of the object, expressed as a positive integer. Used to tell
+   * apart objects of the same type (i.e. AnnotationSpec) when multiple are
+   * present on a single example.
+   * NOTE: Instance ID prediction quality is not a part of model evaluation and
+   * is done as best effort. Especially in cases when an entity goes
+   * off-screen for a longer time (minutes), when it comes back it may be given
+   * a new instance ID.
+   *
+ * + * string instance_id = 1; + * + * @return The instanceId. + */ + java.lang.String getInstanceId(); + /** + * + * + * 
+   * Optional. The instance of the object, expressed as a positive integer. Used to tell
+   * apart objects of the same type (i.e. AnnotationSpec) when multiple are
+   * present on a single example.
+   * NOTE: Instance ID prediction quality is not a part of model evaluation and
+   * is done as best effort. Especially in cases when an entity goes
+   * off-screen for a longer time (minutes), when it comes back it may be given
+   * a new instance ID.
+   *
+ * + * string instance_id = 1; + * + * @return The bytes for instanceId. + */ + com.google.protobuf.ByteString getInstanceIdBytes(); + + /** + * + * + * 
+   * Required. A time (frame) of a video to which this annotation pertains.
+   * Represented as the duration since the video's start.
+   *
+ * + * .google.protobuf.Duration time_offset = 2; + * + * @return Whether the timeOffset field is set. + */ + boolean hasTimeOffset(); + /** + * + * + * 
+   * Required. A time (frame) of a video to which this annotation pertains.
+   * Represented as the duration since the video's start.
+   *
+ * + * .google.protobuf.Duration time_offset = 2; + * + * @return The timeOffset. + */ + com.google.protobuf.Duration getTimeOffset(); + /** + * + * + * 
+   * Required. A time (frame) of a video to which this annotation pertains.
+   * Represented as the duration since the video's start.
+   *
+ * + * .google.protobuf.Duration time_offset = 2; + */ + com.google.protobuf.DurationOrBuilder getTimeOffsetOrBuilder(); + + /** + * + * + * 
+   * Required. The rectangle representing the object location on the frame (i.e.
+   * at the time_offset of the video).
+   *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 3; + * + * @return Whether the boundingBox field is set. + */ + boolean hasBoundingBox(); + /** + * + * + * 
+   * Required. The rectangle representing the object location on the frame (i.e.
+   * at the time_offset of the video).
+   *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 3; + * + * @return The boundingBox. + */ + com.google.cloud.automl.v1beta1.BoundingPoly getBoundingBox(); + /** + * + * + * 
+   * Required. The rectangle representing the object location on the frame (i.e.
+   * at the time_offset of the video).
+   *
+ * + * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 3; + */ + com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder getBoundingBoxOrBuilder(); + + /** + * + * + * 
+   * Output only. The confidence that this annotation is positive for the video at
+   * the time_offset, value in [0, 1], higher means higher positivity
+   * confidence. For annotations created by the user the score is 1. When
+   * user approves an annotation, the original float score is kept (and not
+   * changed to 1).
+   *
+ * + * float score = 4; + * + * @return The score. + */ + float getScore(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingDatasetMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingDatasetMetadata.java new file mode 100644 index 000000000..573e718fb --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingDatasetMetadata.java @@ -0,0 +1,469 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/video.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Dataset metadata specific to video object tracking.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata} + */ +public final class VideoObjectTrackingDatasetMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata) + VideoObjectTrackingDatasetMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use VideoObjectTrackingDatasetMetadata.newBuilder() to construct. + private VideoObjectTrackingDatasetMetadata( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private VideoObjectTrackingDatasetMetadata() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new VideoObjectTrackingDatasetMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private VideoObjectTrackingDatasetMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingDatasetMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingDatasetMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata.class, + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata.Builder.class); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata other = + (com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata) obj; + + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata parseFrom( + byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Dataset metadata specific to video object tracking.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata) + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingDatasetMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingDatasetMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata.class, + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata.Builder.class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingDatasetMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata + .getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata build() { + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata buildPartial() { + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata result = + new com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata(this); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata other) { + if (other + == com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata + .getDefaultInstance()) return this; + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata) + private static final com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata(); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public VideoObjectTrackingDatasetMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new VideoObjectTrackingDatasetMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingDatasetMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingDatasetMetadataOrBuilder.java new file mode 100644 index 000000000..f9075c2fe --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingDatasetMetadataOrBuilder.java @@ -0,0 +1,24 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/video.proto + +package com.google.cloud.automl.v1beta1; + +public interface VideoObjectTrackingDatasetMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata) + com.google.protobuf.MessageOrBuilder {} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingEvaluationMetrics.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingEvaluationMetrics.java new file mode 100644 index 000000000..137209370 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingEvaluationMetrics.java @@ -0,0 +1,1384 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/detection.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Model evaluation metrics for video object tracking problems.
+ * Evaluates prediction quality of both labeled bounding boxes and labeled
+ * tracks (i.e. series of bounding boxes sharing same label and instance ID).
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics} + */ +public final class VideoObjectTrackingEvaluationMetrics + extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics) + VideoObjectTrackingEvaluationMetricsOrBuilder { + private static final long serialVersionUID = 0L; + // Use VideoObjectTrackingEvaluationMetrics.newBuilder() to construct. + private VideoObjectTrackingEvaluationMetrics( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private VideoObjectTrackingEvaluationMetrics() { + boundingBoxMetricsEntries_ = java.util.Collections.emptyList(); + } + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new VideoObjectTrackingEvaluationMetrics(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private VideoObjectTrackingEvaluationMetrics( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 8: + { + evaluatedFrameCount_ = input.readInt32(); + break; + } + case 16: + { + evaluatedBoundingBoxCount_ = input.readInt32(); + break; + } + case 34: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + boundingBoxMetricsEntries_ = + new java.util.ArrayList< + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry>(); + mutable_bitField0_ |= 0x00000001; + } + boundingBoxMetricsEntries_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.parser(), + extensionRegistry)); + break; + } + case 53: + { + boundingBoxMeanAveragePrecision_ = input.readFloat(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + boundingBoxMetricsEntries_ = + java.util.Collections.unmodifiableList(boundingBoxMetricsEntries_); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingEvaluationMetrics_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingEvaluationMetrics_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics.class, + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics.Builder.class); + } + + public static final int EVALUATED_FRAME_COUNT_FIELD_NUMBER = 1; + private int evaluatedFrameCount_; + /** + * + * + * 
+   * Output only. The number of video frames used to create this evaluation.
+   *
+ * + * int32 evaluated_frame_count = 1; + * + * @return The evaluatedFrameCount. + */ + public int getEvaluatedFrameCount() { + return evaluatedFrameCount_; + } + + public static final int EVALUATED_BOUNDING_BOX_COUNT_FIELD_NUMBER = 2; + private int evaluatedBoundingBoxCount_; + /** + * + * + * 
+   * Output only. The total number of bounding boxes (i.e. summed over all
+   * frames) the ground truth used to create this evaluation had.
+   *
+ * + * int32 evaluated_bounding_box_count = 2; + * + * @return The evaluatedBoundingBoxCount. + */ + public int getEvaluatedBoundingBoxCount() { + return evaluatedBoundingBoxCount_; + } + + public static final int BOUNDING_BOX_METRICS_ENTRIES_FIELD_NUMBER = 4; + private java.util.List + boundingBoxMetricsEntries_; + /** + * + * + * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + public java.util.List + getBoundingBoxMetricsEntriesList() { + return boundingBoxMetricsEntries_; + } + /** + * + * + * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + public java.util.List + getBoundingBoxMetricsEntriesOrBuilderList() { + return boundingBoxMetricsEntries_; + } + /** + * + * + * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + public int getBoundingBoxMetricsEntriesCount() { + return boundingBoxMetricsEntries_.size(); + } + /** + * + * + * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry getBoundingBoxMetricsEntries( + int index) { + return boundingBoxMetricsEntries_.get(index); + } + /** + * + * + * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder + getBoundingBoxMetricsEntriesOrBuilder(int index) { + return boundingBoxMetricsEntries_.get(index); + } + + public static final int BOUNDING_BOX_MEAN_AVERAGE_PRECISION_FIELD_NUMBER = 6; + private float boundingBoxMeanAveragePrecision_; + /** + * + * + * 
+   * Output only. The single metric for bounding boxes evaluation:
+   * the mean_average_precision averaged over all bounding_box_metrics_entries.
+   *
+ * + * float bounding_box_mean_average_precision = 6; + * + * @return The boundingBoxMeanAveragePrecision. + */ + public float getBoundingBoxMeanAveragePrecision() { + return boundingBoxMeanAveragePrecision_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (evaluatedFrameCount_ != 0) { + output.writeInt32(1, evaluatedFrameCount_); + } + if (evaluatedBoundingBoxCount_ != 0) { + output.writeInt32(2, evaluatedBoundingBoxCount_); + } + for (int i = 0; i < boundingBoxMetricsEntries_.size(); i++) { + output.writeMessage(4, boundingBoxMetricsEntries_.get(i)); + } + if (boundingBoxMeanAveragePrecision_ != 0F) { + output.writeFloat(6, boundingBoxMeanAveragePrecision_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (evaluatedFrameCount_ != 0) { + size += com.google.protobuf.CodedOutputStream.computeInt32Size(1, evaluatedFrameCount_); + } + if (evaluatedBoundingBoxCount_ != 0) { + size += com.google.protobuf.CodedOutputStream.computeInt32Size(2, evaluatedBoundingBoxCount_); + } + for (int i = 0; i < boundingBoxMetricsEntries_.size(); i++) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 4, boundingBoxMetricsEntries_.get(i)); + } + if (boundingBoxMeanAveragePrecision_ != 0F) { + size += + com.google.protobuf.CodedOutputStream.computeFloatSize( + 6, boundingBoxMeanAveragePrecision_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics other = + (com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics) obj; + + if (getEvaluatedFrameCount() != other.getEvaluatedFrameCount()) return false; + if (getEvaluatedBoundingBoxCount() != other.getEvaluatedBoundingBoxCount()) return false; + if (!getBoundingBoxMetricsEntriesList().equals(other.getBoundingBoxMetricsEntriesList())) + return false; + if (java.lang.Float.floatToIntBits(getBoundingBoxMeanAveragePrecision()) + != java.lang.Float.floatToIntBits(other.getBoundingBoxMeanAveragePrecision())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + EVALUATED_FRAME_COUNT_FIELD_NUMBER; + hash = (53 * hash) + getEvaluatedFrameCount(); + hash = (37 * hash) + EVALUATED_BOUNDING_BOX_COUNT_FIELD_NUMBER; + hash = (53 * hash) + getEvaluatedBoundingBoxCount(); + if (getBoundingBoxMetricsEntriesCount() > 0) { + hash = (37 * hash) + BOUNDING_BOX_METRICS_ENTRIES_FIELD_NUMBER; + hash = (53 * hash) + getBoundingBoxMetricsEntriesList().hashCode(); + } + hash = (37 * hash) + BOUNDING_BOX_MEAN_AVERAGE_PRECISION_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getBoundingBoxMeanAveragePrecision()); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics parseFrom( + byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Model evaluation metrics for video object tracking problems.
+   * Evaluates prediction quality of both labeled bounding boxes and labeled
+   * tracks (i.e. series of bounding boxes sharing same label and instance ID).
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics) + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetricsOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingEvaluationMetrics_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingEvaluationMetrics_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics.class, + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics.Builder.class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getBoundingBoxMetricsEntriesFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + evaluatedFrameCount_ = 0; + + evaluatedBoundingBoxCount_ = 0; + + if (boundingBoxMetricsEntriesBuilder_ == null) { + boundingBoxMetricsEntries_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + } else { + boundingBoxMetricsEntriesBuilder_.clear(); + } + boundingBoxMeanAveragePrecision_ = 0F; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Detection + .internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingEvaluationMetrics_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics + .getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics build() { + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics buildPartial() { + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics result = + new com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics(this); + int from_bitField0_ = bitField0_; + result.evaluatedFrameCount_ = evaluatedFrameCount_; + result.evaluatedBoundingBoxCount_ = evaluatedBoundingBoxCount_; + if (boundingBoxMetricsEntriesBuilder_ == null) { + if (((bitField0_ & 0x00000001) != 0)) { + boundingBoxMetricsEntries_ = + java.util.Collections.unmodifiableList(boundingBoxMetricsEntries_); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.boundingBoxMetricsEntries_ = boundingBoxMetricsEntries_; + } else { + result.boundingBoxMetricsEntries_ = boundingBoxMetricsEntriesBuilder_.build(); + } + result.boundingBoxMeanAveragePrecision_ = boundingBoxMeanAveragePrecision_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics other) { + if (other + == com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics + .getDefaultInstance()) return this; + if (other.getEvaluatedFrameCount() != 0) { + setEvaluatedFrameCount(other.getEvaluatedFrameCount()); + } + if (other.getEvaluatedBoundingBoxCount() != 0) { + setEvaluatedBoundingBoxCount(other.getEvaluatedBoundingBoxCount()); + } + if (boundingBoxMetricsEntriesBuilder_ == null) { + if (!other.boundingBoxMetricsEntries_.isEmpty()) { + if (boundingBoxMetricsEntries_.isEmpty()) { + boundingBoxMetricsEntries_ = other.boundingBoxMetricsEntries_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensureBoundingBoxMetricsEntriesIsMutable(); + boundingBoxMetricsEntries_.addAll(other.boundingBoxMetricsEntries_); + } + onChanged(); + } + } else { + if (!other.boundingBoxMetricsEntries_.isEmpty()) { + if (boundingBoxMetricsEntriesBuilder_.isEmpty()) { + boundingBoxMetricsEntriesBuilder_.dispose(); + boundingBoxMetricsEntriesBuilder_ = null; + boundingBoxMetricsEntries_ = other.boundingBoxMetricsEntries_; + bitField0_ = (bitField0_ & ~0x00000001); + boundingBoxMetricsEntriesBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getBoundingBoxMetricsEntriesFieldBuilder() + : null; + } else { + boundingBoxMetricsEntriesBuilder_.addAllMessages(other.boundingBoxMetricsEntries_); + } + } + } + if (other.getBoundingBoxMeanAveragePrecision() != 0F) { + setBoundingBoxMeanAveragePrecision(other.getBoundingBoxMeanAveragePrecision()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private int evaluatedFrameCount_; + /** + * + * + * 
+     * Output only. The number of video frames used to create this evaluation.
+     *
+ * + * int32 evaluated_frame_count = 1; + * + * @return The evaluatedFrameCount. + */ + public int getEvaluatedFrameCount() { + return evaluatedFrameCount_; + } + /** + * + * + * 
+     * Output only. The number of video frames used to create this evaluation.
+     *
+ * + * int32 evaluated_frame_count = 1; + * + * @param value The evaluatedFrameCount to set. + * @return This builder for chaining. + */ + public Builder setEvaluatedFrameCount(int value) { + + evaluatedFrameCount_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The number of video frames used to create this evaluation.
+     *
+ * + * int32 evaluated_frame_count = 1; + * + * @return This builder for chaining. + */ + public Builder clearEvaluatedFrameCount() { + + evaluatedFrameCount_ = 0; + onChanged(); + return this; + } + + private int evaluatedBoundingBoxCount_; + /** + * + * + * 
+     * Output only. The total number of bounding boxes (i.e. summed over all
+     * frames) the ground truth used to create this evaluation had.
+     *
+ * + * int32 evaluated_bounding_box_count = 2; + * + * @return The evaluatedBoundingBoxCount. + */ + public int getEvaluatedBoundingBoxCount() { + return evaluatedBoundingBoxCount_; + } + /** + * + * + * 
+     * Output only. The total number of bounding boxes (i.e. summed over all
+     * frames) the ground truth used to create this evaluation had.
+     *
+ * + * int32 evaluated_bounding_box_count = 2; + * + * @param value The evaluatedBoundingBoxCount to set. + * @return This builder for chaining. + */ + public Builder setEvaluatedBoundingBoxCount(int value) { + + evaluatedBoundingBoxCount_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The total number of bounding boxes (i.e. summed over all
+     * frames) the ground truth used to create this evaluation had.
+     *
+ * + * int32 evaluated_bounding_box_count = 2; + * + * @return This builder for chaining. + */ + public Builder clearEvaluatedBoundingBoxCount() { + + evaluatedBoundingBoxCount_ = 0; + onChanged(); + return this; + } + + private java.util.List + boundingBoxMetricsEntries_ = java.util.Collections.emptyList(); + + private void ensureBoundingBoxMetricsEntriesIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + boundingBoxMetricsEntries_ = + new java.util.ArrayList( + boundingBoxMetricsEntries_); + bitField0_ |= 0x00000001; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder> + boundingBoxMetricsEntriesBuilder_; + + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + public java.util.List + getBoundingBoxMetricsEntriesList() { + if (boundingBoxMetricsEntriesBuilder_ == null) { + return java.util.Collections.unmodifiableList(boundingBoxMetricsEntries_); + } else { + return boundingBoxMetricsEntriesBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + public int getBoundingBoxMetricsEntriesCount() { + if (boundingBoxMetricsEntriesBuilder_ == null) { + return boundingBoxMetricsEntries_.size(); + } else { + return boundingBoxMetricsEntriesBuilder_.getCount(); + } + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry getBoundingBoxMetricsEntries( + int index) { + if (boundingBoxMetricsEntriesBuilder_ == null) { + return boundingBoxMetricsEntries_.get(index); + } else { + return boundingBoxMetricsEntriesBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + public Builder setBoundingBoxMetricsEntries( + int index, com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry value) { + if (boundingBoxMetricsEntriesBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureBoundingBoxMetricsEntriesIsMutable(); + boundingBoxMetricsEntries_.set(index, value); + onChanged(); + } else { + boundingBoxMetricsEntriesBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + public Builder setBoundingBoxMetricsEntries( + int index, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder builderForValue) { + if (boundingBoxMetricsEntriesBuilder_ == null) { + ensureBoundingBoxMetricsEntriesIsMutable(); + boundingBoxMetricsEntries_.set(index, builderForValue.build()); + onChanged(); + } else { + boundingBoxMetricsEntriesBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + public Builder addBoundingBoxMetricsEntries( + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry value) { + if (boundingBoxMetricsEntriesBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureBoundingBoxMetricsEntriesIsMutable(); + boundingBoxMetricsEntries_.add(value); + onChanged(); + } else { + boundingBoxMetricsEntriesBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + public Builder addBoundingBoxMetricsEntries( + int index, com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry value) { + if (boundingBoxMetricsEntriesBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureBoundingBoxMetricsEntriesIsMutable(); + boundingBoxMetricsEntries_.add(index, value); + onChanged(); + } else { + boundingBoxMetricsEntriesBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + public Builder addBoundingBoxMetricsEntries( + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder builderForValue) { + if (boundingBoxMetricsEntriesBuilder_ == null) { + ensureBoundingBoxMetricsEntriesIsMutable(); + boundingBoxMetricsEntries_.add(builderForValue.build()); + onChanged(); + } else { + boundingBoxMetricsEntriesBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + public Builder addBoundingBoxMetricsEntries( + int index, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder builderForValue) { + if (boundingBoxMetricsEntriesBuilder_ == null) { + ensureBoundingBoxMetricsEntriesIsMutable(); + boundingBoxMetricsEntries_.add(index, builderForValue.build()); + onChanged(); + } else { + boundingBoxMetricsEntriesBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + public Builder addAllBoundingBoxMetricsEntries( + java.lang.Iterable + values) { + if (boundingBoxMetricsEntriesBuilder_ == null) { + ensureBoundingBoxMetricsEntriesIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, boundingBoxMetricsEntries_); + onChanged(); + } else { + boundingBoxMetricsEntriesBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + public Builder clearBoundingBoxMetricsEntries() { + if (boundingBoxMetricsEntriesBuilder_ == null) { + boundingBoxMetricsEntries_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + } else { + boundingBoxMetricsEntriesBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + public Builder removeBoundingBoxMetricsEntries(int index) { + if (boundingBoxMetricsEntriesBuilder_ == null) { + ensureBoundingBoxMetricsEntriesIsMutable(); + boundingBoxMetricsEntries_.remove(index); + onChanged(); + } else { + boundingBoxMetricsEntriesBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder + getBoundingBoxMetricsEntriesBuilder(int index) { + return getBoundingBoxMetricsEntriesFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder + getBoundingBoxMetricsEntriesOrBuilder(int index) { + if (boundingBoxMetricsEntriesBuilder_ == null) { + return boundingBoxMetricsEntries_.get(index); + } else { + return boundingBoxMetricsEntriesBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + public java.util.List< + ? extends com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder> + getBoundingBoxMetricsEntriesOrBuilderList() { + if (boundingBoxMetricsEntriesBuilder_ != null) { + return boundingBoxMetricsEntriesBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(boundingBoxMetricsEntries_); + } + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder + addBoundingBoxMetricsEntriesBuilder() { + return getBoundingBoxMetricsEntriesFieldBuilder() + .addBuilder(com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.getDefaultInstance()); + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder + addBoundingBoxMetricsEntriesBuilder(int index) { + return getBoundingBoxMetricsEntriesFieldBuilder() + .addBuilder( + index, com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.getDefaultInstance()); + } + /** + * + * + * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + public java.util.List + getBoundingBoxMetricsEntriesBuilderList() { + return getBoundingBoxMetricsEntriesFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder> + getBoundingBoxMetricsEntriesFieldBuilder() { + if (boundingBoxMetricsEntriesBuilder_ == null) { + boundingBoxMetricsEntriesBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder, + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder>( + boundingBoxMetricsEntries_, + ((bitField0_ & 0x00000001) != 0), + getParentForChildren(), + isClean()); + boundingBoxMetricsEntries_ = null; + } + return boundingBoxMetricsEntriesBuilder_; + } + + private float boundingBoxMeanAveragePrecision_; + /** + * + * + * 
+     * Output only. The single metric for bounding boxes evaluation:
+     * the mean_average_precision averaged over all bounding_box_metrics_entries.
+     *
+ * + * float bounding_box_mean_average_precision = 6; + * + * @return The boundingBoxMeanAveragePrecision. + */ + public float getBoundingBoxMeanAveragePrecision() { + return boundingBoxMeanAveragePrecision_; + } + /** + * + * + * 
+     * Output only. The single metric for bounding boxes evaluation:
+     * the mean_average_precision averaged over all bounding_box_metrics_entries.
+     *
+ * + * float bounding_box_mean_average_precision = 6; + * + * @param value The boundingBoxMeanAveragePrecision to set. + * @return This builder for chaining. + */ + public Builder setBoundingBoxMeanAveragePrecision(float value) { + + boundingBoxMeanAveragePrecision_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The single metric for bounding boxes evaluation:
+     * the mean_average_precision averaged over all bounding_box_metrics_entries.
+     *
+ * + * float bounding_box_mean_average_precision = 6; + * + * @return This builder for chaining. + */ + public Builder clearBoundingBoxMeanAveragePrecision() { + + boundingBoxMeanAveragePrecision_ = 0F; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics) + private static final com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics(); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public VideoObjectTrackingEvaluationMetrics parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new VideoObjectTrackingEvaluationMetrics(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingEvaluationMetricsOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingEvaluationMetricsOrBuilder.java new file mode 100644 index 000000000..92490f52c --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingEvaluationMetricsOrBuilder.java @@ -0,0 +1,145 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/detection.proto + +package com.google.cloud.automl.v1beta1; + +public interface VideoObjectTrackingEvaluationMetricsOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Output only. The number of video frames used to create this evaluation.
+   *
+ * + * int32 evaluated_frame_count = 1; + * + * @return The evaluatedFrameCount. + */ + int getEvaluatedFrameCount(); + + /** + * + * + * 
+   * Output only. The total number of bounding boxes (i.e. summed over all
+   * frames) the ground truth used to create this evaluation had.
+   *
+ * + * int32 evaluated_bounding_box_count = 2; + * + * @return The evaluatedBoundingBoxCount. + */ + int getEvaluatedBoundingBoxCount(); + + /** + * + * + * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + java.util.List + getBoundingBoxMetricsEntriesList(); + /** + * + * + * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry getBoundingBoxMetricsEntries(int index); + /** + * + * + * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + int getBoundingBoxMetricsEntriesCount(); + /** + * + * + * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + java.util.List + getBoundingBoxMetricsEntriesOrBuilderList(); + /** + * + * + * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + * + */ + com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder + getBoundingBoxMetricsEntriesOrBuilder(int index); + + /** + * + * + * 
+   * Output only. The single metric for bounding boxes evaluation:
+   * the mean_average_precision averaged over all bounding_box_metrics_entries.
+   *
+ * + * float bounding_box_mean_average_precision = 6; + * + * @return The boundingBoxMeanAveragePrecision. + */ + float getBoundingBoxMeanAveragePrecision(); +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingModelMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingModelMetadata.java new file mode 100644 index 000000000..a7c34adb2 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingModelMetadata.java @@ -0,0 +1,465 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/video.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Model metadata specific to video object tracking.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata} + */ +public final class VideoObjectTrackingModelMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata) + VideoObjectTrackingModelMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use VideoObjectTrackingModelMetadata.newBuilder() to construct. + private VideoObjectTrackingModelMetadata( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private VideoObjectTrackingModelMetadata() {} + + @java.lang.Override + @SuppressWarnings({"unused"}) + protected java.lang.Object newInstance(UnusedPrivateParameter unused) { + return new VideoObjectTrackingModelMetadata(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private VideoObjectTrackingModelMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingModelMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingModelMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata.class, + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata.Builder.class); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata other = + (com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata) obj; + + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata parseFrom( + byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Model metadata specific to video object tracking.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata) + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingModelMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingModelMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata.class, + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingModelMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata build() { + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata buildPartial() { + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata result = + new com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata(this); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata other) { + if (other + == com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata.getDefaultInstance()) + return this; + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata) + private static final com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata(); + } + + public static com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public VideoObjectTrackingModelMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new VideoObjectTrackingModelMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingModelMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingModelMetadataOrBuilder.java new file mode 100644 index 000000000..c0eb46acb --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoObjectTrackingModelMetadataOrBuilder.java @@ -0,0 +1,24 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/video.proto + +package com.google.cloud.automl.v1beta1; + +public interface VideoObjectTrackingModelMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata) + com.google.protobuf.MessageOrBuilder {} diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoProto.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoProto.java new file mode 100644 index 000000000..5148ea56c --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoProto.java @@ -0,0 +1,105 @@ +/* + * Copyright 2020 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/video.proto + +package com.google.cloud.automl.v1beta1; + +public final class VideoProto { + private VideoProto() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_VideoClassificationDatasetMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_VideoClassificationDatasetMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingDatasetMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingDatasetMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_VideoClassificationModelMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_VideoClassificationModelMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingModelMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingModelMetadata_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n\'google/cloud/automl/v1beta1/video.prot" + + "o\022\033google.cloud.automl.v1beta1\0320google/c" + + "loud/automl/v1beta1/classification.proto" + + "\032\034google/api/annotations.proto\"$\n\"VideoC" + + "lassificationDatasetMetadata\"$\n\"VideoObj" + + "ectTrackingDatasetMetadata\"\"\n VideoClass" + + "ificationModelMetadata\"\"\n VideoObjectTra" + + "ckingModelMetadataB\261\001\n\037com.google.cloud." + + "automl.v1beta1B\nVideoProtoP\001ZAgoogle.gol" + + "ang.org/genproto/googleapis/cloud/automl" + + "/v1beta1;automl\312\002\033Google\\Cloud\\AutoMl\\V1" + + "beta1\352\002\036Google::Cloud::AutoML::V1beta1b\006" + + "proto3" + }; + descriptor = + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.cloud.automl.v1beta1.ClassificationProto.getDescriptor(), + com.google.api.AnnotationsProto.getDescriptor(), + }); + internal_static_google_cloud_automl_v1beta1_VideoClassificationDatasetMetadata_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_VideoClassificationDatasetMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_VideoClassificationDatasetMetadata_descriptor, + new java.lang.String[] {}); + internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingDatasetMetadata_descriptor = + getDescriptor().getMessageTypes().get(1); + internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingDatasetMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingDatasetMetadata_descriptor, + new java.lang.String[] {}); + internal_static_google_cloud_automl_v1beta1_VideoClassificationModelMetadata_descriptor = + getDescriptor().getMessageTypes().get(2); + internal_static_google_cloud_automl_v1beta1_VideoClassificationModelMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_VideoClassificationModelMetadata_descriptor, + new java.lang.String[] {}); + internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingModelMetadata_descriptor = + getDescriptor().getMessageTypes().get(3); + internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingModelMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_VideoObjectTrackingModelMetadata_descriptor, + new java.lang.String[] {}); + com.google.cloud.automl.v1beta1.ClassificationProto.getDescriptor(); + com.google.api.AnnotationsProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/annotation_payload.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/annotation_payload.proto new file mode 100644 index 000000000..f62bb269e --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/annotation_payload.proto @@ -0,0 +1,77 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/cloud/automl/v1beta1/classification.proto"; +import "google/cloud/automl/v1beta1/detection.proto"; +import "google/cloud/automl/v1beta1/tables.proto"; +import "google/cloud/automl/v1beta1/text_extraction.proto"; +import "google/cloud/automl/v1beta1/text_sentiment.proto"; +import "google/cloud/automl/v1beta1/translation.proto"; +import "google/protobuf/any.proto"; +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// Contains annotation information that is relevant to AutoML. +message AnnotationPayload { + // Output only . Additional information about the annotation + // specific to the AutoML domain. + oneof detail { + // Annotation details for translation. + TranslationAnnotation translation = 2; + + // Annotation details for content or image classification. + ClassificationAnnotation classification = 3; + + // Annotation details for image object detection. + ImageObjectDetectionAnnotation image_object_detection = 4; + + // Annotation details for video classification. + // Returned for Video Classification predictions. + VideoClassificationAnnotation video_classification = 9; + + // Annotation details for video object tracking. + VideoObjectTrackingAnnotation video_object_tracking = 8; + + // Annotation details for text extraction. + TextExtractionAnnotation text_extraction = 6; + + // Annotation details for text sentiment. + TextSentimentAnnotation text_sentiment = 7; + + // Annotation details for Tables. + TablesAnnotation tables = 10; + } + + // Output only . The resource ID of the annotation spec that + // this annotation pertains to. The annotation spec comes from either an + // ancestor dataset, or the dataset that was used to train the model in use. + string annotation_spec_id = 1; + + // Output only. The value of + // [display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] + // when the model was trained. Because this field returns a value at model + // training time, for different models trained using the same dataset, the + // returned value could be different as model owner could update the + // `display_name` between any two model training. + string display_name = 5; +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/annotation_spec.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/annotation_spec.proto new file mode 100644 index 000000000..d9df07ee3 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/annotation_spec.proto @@ -0,0 +1,48 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/resource.proto"; +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// A definition of an annotation spec. +message AnnotationSpec { + option (google.api.resource) = { + type: "automl.googleapis.com/AnnotationSpec" + pattern: "projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}" + }; + + // Output only. Resource name of the annotation spec. + // Form: + // + // 'projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/annotationSpecs/{annotation_spec_id}' + string name = 1; + + // Required. The name of the annotation spec to show in the interface. The name can be + // up to 32 characters long and must match the regexp `[a-zA-Z0-9_]+`. + string display_name = 2; + + // Output only. The number of examples in the parent dataset + // labeled by the annotation spec. + int32 example_count = 9; +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/classification.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/classification.proto new file mode 100644 index 000000000..0594d01e6 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/classification.proto @@ -0,0 +1,216 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/cloud/automl/v1beta1/temporal.proto"; +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_outer_classname = "ClassificationProto"; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// Type of the classification problem. +enum ClassificationType { + // An un-set value of this enum. + CLASSIFICATION_TYPE_UNSPECIFIED = 0; + + // At most one label is allowed per example. + MULTICLASS = 1; + + // Multiple labels are allowed for one example. + MULTILABEL = 2; +} + +// Contains annotation details specific to classification. +message ClassificationAnnotation { + // Output only. A confidence estimate between 0.0 and 1.0. A higher value + // means greater confidence that the annotation is positive. If a user + // approves an annotation as negative or positive, the score value remains + // unchanged. If a user creates an annotation, the score is 0 for negative or + // 1 for positive. + float score = 1; +} + +// Contains annotation details specific to video classification. +message VideoClassificationAnnotation { + // Output only. Expresses the type of video classification. Possible values: + // + // * `segment` - Classification done on a specified by user + // time segment of a video. AnnotationSpec is answered to be present + // in that time segment, if it is present in any part of it. The video + // ML model evaluations are done only for this type of classification. + // + // * `shot`- Shot-level classification. + // AutoML Video Intelligence determines the boundaries + // for each camera shot in the entire segment of the video that user + // specified in the request configuration. AutoML Video Intelligence + // then returns labels and their confidence scores for each detected + // shot, along with the start and end time of the shot. + // WARNING: Model evaluation is not done for this classification type, + // the quality of it depends on training data, but there are no + // metrics provided to describe that quality. + // + // * `1s_interval` - AutoML Video Intelligence returns labels and their + // confidence scores for each second of the entire segment of the video + // that user specified in the request configuration. + // WARNING: Model evaluation is not done for this classification type, + // the quality of it depends on training data, but there are no + // metrics provided to describe that quality. + string type = 1; + + // Output only . The classification details of this annotation. + ClassificationAnnotation classification_annotation = 2; + + // Output only . The time segment of the video to which the + // annotation applies. + TimeSegment time_segment = 3; +} + +// Model evaluation metrics for classification problems. +// Note: For Video Classification this metrics only describe quality of the +// Video Classification predictions of "segment_classification" type. +message ClassificationEvaluationMetrics { + // Metrics for a single confidence threshold. + message ConfidenceMetricsEntry { + // Output only. Metrics are computed with an assumption that the model + // never returns predictions with score lower than this value. + float confidence_threshold = 1; + + // Output only. Metrics are computed with an assumption that the model + // always returns at most this many predictions (ordered by their score, + // descendingly), but they all still need to meet the confidence_threshold. + int32 position_threshold = 14; + + // Output only. Recall (True Positive Rate) for the given confidence + // threshold. + float recall = 2; + + // Output only. Precision for the given confidence threshold. + float precision = 3; + + // Output only. False Positive Rate for the given confidence threshold. + float false_positive_rate = 8; + + // Output only. The harmonic mean of recall and precision. + float f1_score = 4; + + // Output only. The Recall (True Positive Rate) when only considering the + // label that has the highest prediction score and not below the confidence + // threshold for each example. + float recall_at1 = 5; + + // Output only. The precision when only considering the label that has the + // highest prediction score and not below the confidence threshold for each + // example. + float precision_at1 = 6; + + // Output only. The False Positive Rate when only considering the label that + // has the highest prediction score and not below the confidence threshold + // for each example. + float false_positive_rate_at1 = 9; + + // Output only. The harmonic mean of [recall_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.recall_at1] and [precision_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.precision_at1]. + float f1_score_at1 = 7; + + // Output only. The number of model created labels that match a ground truth + // label. + int64 true_positive_count = 10; + + // Output only. The number of model created labels that do not match a + // ground truth label. + int64 false_positive_count = 11; + + // Output only. The number of ground truth labels that are not matched + // by a model created label. + int64 false_negative_count = 12; + + // Output only. The number of labels that were not created by the model, + // but if they would, they would not match a ground truth label. + int64 true_negative_count = 13; + } + + // Confusion matrix of the model running the classification. + message ConfusionMatrix { + // Output only. A row in the confusion matrix. + message Row { + // Output only. Value of the specific cell in the confusion matrix. + // The number of values each row has (i.e. the length of the row) is equal + // to the length of the `annotation_spec_id` field or, if that one is not + // populated, length of the [display_name][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.display_name] field. + repeated int32 example_count = 1; + } + + // Output only. IDs of the annotation specs used in the confusion matrix. + // For Tables CLASSIFICATION + // + // [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type] + // only list of [annotation_spec_display_name-s][] is populated. + repeated string annotation_spec_id = 1; + + // Output only. Display name of the annotation specs used in the confusion + // matrix, as they were at the moment of the evaluation. For Tables + // CLASSIFICATION + // + // [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type], + // distinct values of the target column at the moment of the model + // evaluation are populated here. + repeated string display_name = 3; + + // Output only. Rows in the confusion matrix. The number of rows is equal to + // the size of `annotation_spec_id`. + // `row[i].example_count[j]` is the number of examples that have ground + // truth of the `annotation_spec_id[i]` and are predicted as + // `annotation_spec_id[j]` by the model being evaluated. + repeated Row row = 2; + } + + // Output only. The Area Under Precision-Recall Curve metric. Micro-averaged + // for the overall evaluation. + float au_prc = 1; + + // Output only. The Area Under Precision-Recall Curve metric based on priors. + // Micro-averaged for the overall evaluation. + // Deprecated. + float base_au_prc = 2 [deprecated = true]; + + // Output only. The Area Under Receiver Operating Characteristic curve metric. + // Micro-averaged for the overall evaluation. + float au_roc = 6; + + // Output only. The Log Loss metric. + float log_loss = 7; + + // Output only. Metrics for each confidence_threshold in + // 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and + // position_threshold = INT32_MAX_VALUE. + // ROC and precision-recall curves, and other aggregated metrics are derived + // from them. The confidence metrics entries may also be supplied for + // additional values of position_threshold, but from these no aggregated + // metrics are computed. + repeated ConfidenceMetricsEntry confidence_metrics_entry = 3; + + // Output only. Confusion matrix of the evaluation. + // Only set for MULTICLASS classification problems where number + // of labels is no more than 10. + // Only set for model level evaluation, not for evaluation per label. + ConfusionMatrix confusion_matrix = 4; + + // Output only. The annotation spec ids used for this evaluation. + repeated string annotation_spec_id = 5; +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/column_spec.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/column_spec.proto new file mode 100644 index 000000000..03389b8a4 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/column_spec.proto @@ -0,0 +1,78 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/resource.proto"; +import "google/cloud/automl/v1beta1/data_stats.proto"; +import "google/cloud/automl/v1beta1/data_types.proto"; +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// A representation of a column in a relational table. When listing them, column specs are returned in the same order in which they were +// given on import . +// Used by: +// * Tables +message ColumnSpec { + option (google.api.resource) = { + type: "automl.googleapis.com/ColumnSpec" + pattern: "projects/{project}/locations/{location}/datasets/{dataset}/tableSpecs/{table_spec}/columnSpecs/{column_spec}" + }; + + // Identifies the table's column, and its correlation with the column this + // ColumnSpec describes. + message CorrelatedColumn { + // The column_spec_id of the correlated column, which belongs to the same + // table as the in-context column. + string column_spec_id = 1; + + // Correlation between this and the in-context column. + CorrelationStats correlation_stats = 2; + } + + // Output only. The resource name of the column specs. + // Form: + // + // `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}/columnSpecs/{column_spec_id}` + string name = 1; + + // The data type of elements stored in the column. + DataType data_type = 2; + + // Output only. The name of the column to show in the interface. The name can + // be up to 100 characters long and can consist only of ASCII Latin letters + // A-Z and a-z, ASCII digits 0-9, underscores(_), and forward slashes(/), and + // must start with a letter or a digit. + string display_name = 3; + + // Output only. Stats of the series of values in the column. + // This field may be stale, see the ancestor's + // Dataset.tables_dataset_metadata.stats_update_time field + // for the timestamp at which these stats were last updated. + DataStats data_stats = 4; + + // Deprecated. + repeated CorrelatedColumn top_correlated_columns = 5; + + // Used to perform consistent read-modify-write updates. If not set, a blind + // "overwrite" update happens. + string etag = 6; +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_items.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_items.proto new file mode 100644 index 000000000..9b9187ad3 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_items.proto @@ -0,0 +1,221 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/cloud/automl/v1beta1/geometry.proto"; +import "google/cloud/automl/v1beta1/io.proto"; +import "google/cloud/automl/v1beta1/temporal.proto"; +import "google/cloud/automl/v1beta1/text_segment.proto"; +import "google/protobuf/any.proto"; +import "google/protobuf/duration.proto"; +import "google/protobuf/struct.proto"; +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// A representation of an image. +// Only images up to 30MB in size are supported. +message Image { + // Input only. The data representing the image. + // For Predict calls [image_bytes][google.cloud.automl.v1beta1.Image.image_bytes] must be set, as other options are not + // currently supported by prediction API. You can read the contents of an + // uploaded image by using the [content_uri][google.cloud.automl.v1beta1.Image.content_uri] field. + oneof data { + // Image content represented as a stream of bytes. + // Note: As with all `bytes` fields, protobuffers use a pure binary + // representation, whereas JSON representations use base64. + bytes image_bytes = 1; + + // An input config specifying the content of the image. + InputConfig input_config = 6; + } + + // Output only. HTTP URI to the thumbnail image. + string thumbnail_uri = 4; +} + +// A representation of a text snippet. +message TextSnippet { + // Required. The content of the text snippet as a string. Up to 250000 + // characters long. + string content = 1; + + // Optional. The format of [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the only two allowed + // values are "text/html" and "text/plain". If left blank, the format is + // automatically determined from the type of the uploaded [content][google.cloud.automl.v1beta1.TextSnippet.content]. + string mime_type = 2; + + // Output only. HTTP URI where you can download the content. + string content_uri = 4; +} + +// Message that describes dimension of a document. +message DocumentDimensions { + // Unit of the document dimension. + enum DocumentDimensionUnit { + // Should not be used. + DOCUMENT_DIMENSION_UNIT_UNSPECIFIED = 0; + + // Document dimension is measured in inches. + INCH = 1; + + // Document dimension is measured in centimeters. + CENTIMETER = 2; + + // Document dimension is measured in points. 72 points = 1 inch. + POINT = 3; + } + + // Unit of the dimension. + DocumentDimensionUnit unit = 1; + + // Width value of the document, works together with the unit. + float width = 2; + + // Height value of the document, works together with the unit. + float height = 3; +} + +// A structured text document e.g. a PDF. +message Document { + // Describes the layout information of a [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in the document. + message Layout { + // The type of TextSegment in the context of the original document. + enum TextSegmentType { + // Should not be used. + TEXT_SEGMENT_TYPE_UNSPECIFIED = 0; + + // The text segment is a token. e.g. word. + TOKEN = 1; + + // The text segment is a paragraph. + PARAGRAPH = 2; + + // The text segment is a form field. + FORM_FIELD = 3; + + // The text segment is the name part of a form field. It will be treated + // as child of another FORM_FIELD TextSegment if its span is subspan of + // another TextSegment with type FORM_FIELD. + FORM_FIELD_NAME = 4; + + // The text segment is the text content part of a form field. It will be + // treated as child of another FORM_FIELD TextSegment if its span is + // subspan of another TextSegment with type FORM_FIELD. + FORM_FIELD_CONTENTS = 5; + + // The text segment is a whole table, including headers, and all rows. + TABLE = 6; + + // The text segment is a table's headers. It will be treated as child of + // another TABLE TextSegment if its span is subspan of another TextSegment + // with type TABLE. + TABLE_HEADER = 7; + + // The text segment is a row in table. It will be treated as child of + // another TABLE TextSegment if its span is subspan of another TextSegment + // with type TABLE. + TABLE_ROW = 8; + + // The text segment is a cell in table. It will be treated as child of + // another TABLE_ROW TextSegment if its span is subspan of another + // TextSegment with type TABLE_ROW. + TABLE_CELL = 9; + } + + // Text Segment that represents a segment in + // [document_text][google.cloud.automl.v1beta1.Document.document_text]. + TextSegment text_segment = 1; + + // Page number of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in the original document, starts + // from 1. + int32 page_number = 2; + + // The position of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in the page. + // Contains exactly 4 + // + // [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices] + // and they are connected by edges in the order provided, which will + // represent a rectangle parallel to the frame. The + // [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are + // relative to the page. + // Coordinates are based on top-left as point (0,0). + BoundingPoly bounding_poly = 3; + + // The type of the [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in document. + TextSegmentType text_segment_type = 4; + } + + // An input config specifying the content of the document. + DocumentInputConfig input_config = 1; + + // The plain text version of this document. + TextSnippet document_text = 2; + + // Describes the layout of the document. + // Sorted by [page_number][]. + repeated Layout layout = 3; + + // The dimensions of the page in the document. + DocumentDimensions document_dimensions = 4; + + // Number of pages in the document. + int32 page_count = 5; +} + +// A representation of a row in a relational table. +message Row { + // The resource IDs of the column specs describing the columns of the row. + // If set must contain, but possibly in a different order, all input + // feature + // + // [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs] + // of the Model this row is being passed to. + // Note: The below `values` field must match order of this field, if this + // field is set. + repeated string column_spec_ids = 2; + + // Required. The values of the row cells, given in the same order as the + // column_spec_ids, or, if not set, then in the same order as input + // feature + // + // [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs] + // of the Model this row is being passed to. + repeated google.protobuf.Value values = 3; +} + +// Example data used for training or prediction. +message ExamplePayload { + // Required. Input only. The example data. + oneof payload { + // Example image. + Image image = 1; + + // Example text. + TextSnippet text_snippet = 2; + + // Example document. + Document document = 4; + + // Example relational table row. + Row row = 3; + } +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_stats.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_stats.proto new file mode 100644 index 000000000..c13a5d451 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_stats.proto @@ -0,0 +1,166 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// The data statistics of a series of values that share the same DataType. +message DataStats { + // The data statistics specific to a DataType. + oneof stats { + // The statistics for FLOAT64 DataType. + Float64Stats float64_stats = 3; + + // The statistics for STRING DataType. + StringStats string_stats = 4; + + // The statistics for TIMESTAMP DataType. + TimestampStats timestamp_stats = 5; + + // The statistics for ARRAY DataType. + ArrayStats array_stats = 6; + + // The statistics for STRUCT DataType. + StructStats struct_stats = 7; + + // The statistics for CATEGORY DataType. + CategoryStats category_stats = 8; + } + + // The number of distinct values. + int64 distinct_value_count = 1; + + // The number of values that are null. + int64 null_value_count = 2; + + // The number of values that are valid. + int64 valid_value_count = 9; +} + +// The data statistics of a series of FLOAT64 values. +message Float64Stats { + // A bucket of a histogram. + message HistogramBucket { + // The minimum value of the bucket, inclusive. + double min = 1; + + // The maximum value of the bucket, exclusive unless max = `"Infinity"`, in + // which case it's inclusive. + double max = 2; + + // The number of data values that are in the bucket, i.e. are between + // min and max values. + int64 count = 3; + } + + // The mean of the series. + double mean = 1; + + // The standard deviation of the series. + double standard_deviation = 2; + + // Ordered from 0 to k k-quantile values of the data series of n values. + // The value at index i is, approximately, the i*n/k-th smallest value in the + // series; for i = 0 and i = k these are, respectively, the min and max + // values. + repeated double quantiles = 3; + + // Histogram buckets of the data series. Sorted by the min value of the + // bucket, ascendingly, and the number of the buckets is dynamically + // generated. The buckets are non-overlapping and completely cover whole + // FLOAT64 range with min of first bucket being `"-Infinity"`, and max of + // the last one being `"Infinity"`. + repeated HistogramBucket histogram_buckets = 4; +} + +// The data statistics of a series of STRING values. +message StringStats { + // The statistics of a unigram. + message UnigramStats { + // The unigram. + string value = 1; + + // The number of occurrences of this unigram in the series. + int64 count = 2; + } + + // The statistics of the top 20 unigrams, ordered by + // [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count]. + repeated UnigramStats top_unigram_stats = 1; +} + +// The data statistics of a series of TIMESTAMP values. +message TimestampStats { + // Stats split by a defined in context granularity. + message GranularStats { + // A map from granularity key to example count for that key. + // E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May). + map buckets = 1; + } + + // The string key is the pre-defined granularity. Currently supported: + // hour_of_day, day_of_week, month_of_year. + // Granularities finer that the granularity of timestamp data are not + // populated (e.g. if timestamps are at day granularity, then hour_of_day + // is not populated). + map granular_stats = 1; +} + +// The data statistics of a series of ARRAY values. +message ArrayStats { + // Stats of all the values of all arrays, as if they were a single long + // series of data. The type depends on the element type of the array. + DataStats member_stats = 2; +} + +// The data statistics of a series of STRUCT values. +message StructStats { + // Map from a field name of the struct to data stats aggregated over series + // of all data in that field across all the structs. + map field_stats = 1; +} + +// The data statistics of a series of CATEGORY values. +message CategoryStats { + // The statistics of a single CATEGORY value. + message SingleCategoryStats { + // The CATEGORY value. + string value = 1; + + // The number of occurrences of this value in the series. + int64 count = 2; + } + + // The statistics of the top 20 CATEGORY values, ordered by + // + // [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count]. + repeated SingleCategoryStats top_category_stats = 1; +} + +// A correlation statistics between two series of DataType values. The series +// may have differing DataType-s, but within a single series the DataType must +// be the same. +message CorrelationStats { + // The correlation value using the Cramer's V measure. + double cramers_v = 1; +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_types.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_types.proto new file mode 100644 index 000000000..6f77f56b9 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_types.proto @@ -0,0 +1,105 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// `TypeCode` is used as a part of +// [DataType][google.cloud.automl.v1beta1.DataType]. +enum TypeCode { + // Not specified. Should not be used. + TYPE_CODE_UNSPECIFIED = 0; + + // Encoded as `number`, or the strings `"NaN"`, `"Infinity"`, or + // `"-Infinity"`. + FLOAT64 = 3; + + // Must be between 0AD and 9999AD. Encoded as `string` according to + // [time_format][google.cloud.automl.v1beta1.DataType.time_format], or, if + // that format is not set, then in RFC 3339 `date-time` format, where + // `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z). + TIMESTAMP = 4; + + // Encoded as `string`. + STRING = 6; + + // Encoded as `list`, where the list elements are represented according to + // + // [list_element_type][google.cloud.automl.v1beta1.DataType.list_element_type]. + ARRAY = 8; + + // Encoded as `struct`, where field values are represented according to + // [struct_type][google.cloud.automl.v1beta1.DataType.struct_type]. + STRUCT = 9; + + // Values of this type are not further understood by AutoML, + // e.g. AutoML is unable to tell the order of values (as it could with + // FLOAT64), or is unable to say if one value contains another (as it + // could with STRING). + // Encoded as `string` (bytes should be base64-encoded, as described in RFC + // 4648, section 4). + CATEGORY = 10; +} + +// Indicated the type of data that can be stored in a structured data entity +// (e.g. a table). +message DataType { + // Details of DataType-s that need additional specification. + oneof details { + // If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY], + // then `list_element_type` is the type of the elements. + DataType list_element_type = 2; + + // If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type` + // provides type information for the struct's fields. + StructType struct_type = 3; + + // If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [TIMESTAMP][google.cloud.automl.v1beta1.TypeCode.TIMESTAMP] + // then `time_format` provides the format in which that time field is + // expressed. The time_format must either be one of: + // * `UNIX_SECONDS` + // * `UNIX_MILLISECONDS` + // * `UNIX_MICROSECONDS` + // * `UNIX_NANOSECONDS` + // (for respectively number of seconds, milliseconds, microseconds and + // nanoseconds since start of the Unix epoch); + // or be written in `strftime` syntax. If time_format is not set, then the + // default format as described on the type_code is used. + string time_format = 5; + } + + // Required. The [TypeCode][google.cloud.automl.v1beta1.TypeCode] for this type. + TypeCode type_code = 1; + + // If true, this DataType can also be `NULL`. In .CSV files `NULL` value is + // expressed as an empty string. + bool nullable = 4; +} + +// `StructType` defines the DataType-s of a [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT] type. +message StructType { + // Unordered map of struct field names to their data types. + // Fields cannot be added or removed via Update. Their names and + // data types are still mutable. + map fields = 1; +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/dataset.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/dataset.proto new file mode 100644 index 000000000..8d1b8d937 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/dataset.proto @@ -0,0 +1,96 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/resource.proto"; +import "google/cloud/automl/v1beta1/image.proto"; +import "google/cloud/automl/v1beta1/tables.proto"; +import "google/cloud/automl/v1beta1/text.proto"; +import "google/cloud/automl/v1beta1/translation.proto"; +import "google/cloud/automl/v1beta1/video.proto"; +import "google/protobuf/timestamp.proto"; +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// A workspace for solving a single, particular machine learning (ML) problem. +// A workspace contains examples that may be annotated. +message Dataset { + option (google.api.resource) = { + type: "automl.googleapis.com/Dataset" + pattern: "projects/{project}/locations/{location}/datasets/{dataset}" + }; + + // Required. + // The dataset metadata that is specific to the problem type. + oneof dataset_metadata { + // Metadata for a dataset used for translation. + TranslationDatasetMetadata translation_dataset_metadata = 23; + + // Metadata for a dataset used for image classification. + ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24; + + // Metadata for a dataset used for text classification. + TextClassificationDatasetMetadata text_classification_dataset_metadata = 25; + + // Metadata for a dataset used for image object detection. + ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26; + + // Metadata for a dataset used for video classification. + VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31; + + // Metadata for a dataset used for video object tracking. + VideoObjectTrackingDatasetMetadata video_object_tracking_dataset_metadata = 29; + + // Metadata for a dataset used for text extraction. + TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28; + + // Metadata for a dataset used for text sentiment. + TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30; + + // Metadata for a dataset used for Tables. + TablesDatasetMetadata tables_dataset_metadata = 33; + } + + // Output only. The resource name of the dataset. + // Form: `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}` + string name = 1; + + // Required. The name of the dataset to show in the interface. The name can be + // up to 32 characters long and can consist only of ASCII Latin letters A-Z + // and a-z, underscores + // (_), and ASCII digits 0-9. + string display_name = 2; + + // User-provided description of the dataset. The description can be up to + // 25000 characters long. + string description = 3; + + // Output only. The number of examples in the dataset. + int32 example_count = 21; + + // Output only. Timestamp when this dataset was created. + google.protobuf.Timestamp create_time = 14; + + // Used to perform consistent read-modify-write updates. If not set, a blind + // "overwrite" update happens. + string etag = 17; +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/detection.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/detection.proto new file mode 100644 index 000000000..c5864e209 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/detection.proto @@ -0,0 +1,135 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/cloud/automl/v1beta1/geometry.proto"; +import "google/protobuf/duration.proto"; +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// Annotation details for image object detection. +message ImageObjectDetectionAnnotation { + // Output only. The rectangle representing the object location. + BoundingPoly bounding_box = 1; + + // Output only. The confidence that this annotation is positive for the parent example, + // value in [0, 1], higher means higher positivity confidence. + float score = 2; +} + +// Annotation details for video object tracking. +message VideoObjectTrackingAnnotation { + // Optional. The instance of the object, expressed as a positive integer. Used to tell + // apart objects of the same type (i.e. AnnotationSpec) when multiple are + // present on a single example. + // NOTE: Instance ID prediction quality is not a part of model evaluation and + // is done as best effort. Especially in cases when an entity goes + // off-screen for a longer time (minutes), when it comes back it may be given + // a new instance ID. + string instance_id = 1; + + // Required. A time (frame) of a video to which this annotation pertains. + // Represented as the duration since the video's start. + google.protobuf.Duration time_offset = 2; + + // Required. The rectangle representing the object location on the frame (i.e. + // at the time_offset of the video). + BoundingPoly bounding_box = 3; + + // Output only. The confidence that this annotation is positive for the video at + // the time_offset, value in [0, 1], higher means higher positivity + // confidence. For annotations created by the user the score is 1. When + // user approves an annotation, the original float score is kept (and not + // changed to 1). + float score = 4; +} + +// Bounding box matching model metrics for a single intersection-over-union +// threshold and multiple label match confidence thresholds. +message BoundingBoxMetricsEntry { + // Metrics for a single confidence threshold. + message ConfidenceMetricsEntry { + // Output only. The confidence threshold value used to compute the metrics. + float confidence_threshold = 1; + + // Output only. Recall under the given confidence threshold. + float recall = 2; + + // Output only. Precision under the given confidence threshold. + float precision = 3; + + // Output only. The harmonic mean of recall and precision. + float f1_score = 4; + } + + // Output only. The intersection-over-union threshold value used to compute + // this metrics entry. + float iou_threshold = 1; + + // Output only. The mean average precision, most often close to au_prc. + float mean_average_precision = 2; + + // Output only. Metrics for each label-match confidence_threshold from + // 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is + // derived from them. + repeated ConfidenceMetricsEntry confidence_metrics_entries = 3; +} + +// Model evaluation metrics for image object detection problems. +// Evaluates prediction quality of labeled bounding boxes. +message ImageObjectDetectionEvaluationMetrics { + // Output only. The total number of bounding boxes (i.e. summed over all + // images) the ground truth used to create this evaluation had. + int32 evaluated_bounding_box_count = 1; + + // Output only. The bounding boxes match metrics for each + // Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 + // and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 + // pair. + repeated BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + + // Output only. The single metric for bounding boxes evaluation: + // the mean_average_precision averaged over all bounding_box_metrics_entries. + float bounding_box_mean_average_precision = 3; +} + +// Model evaluation metrics for video object tracking problems. +// Evaluates prediction quality of both labeled bounding boxes and labeled +// tracks (i.e. series of bounding boxes sharing same label and instance ID). +message VideoObjectTrackingEvaluationMetrics { + // Output only. The number of video frames used to create this evaluation. + int32 evaluated_frame_count = 1; + + // Output only. The total number of bounding boxes (i.e. summed over all + // frames) the ground truth used to create this evaluation had. + int32 evaluated_bounding_box_count = 2; + + // Output only. The bounding boxes match metrics for each + // Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 + // and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 + // pair. + repeated BoundingBoxMetricsEntry bounding_box_metrics_entries = 4; + + // Output only. The single metric for bounding boxes evaluation: + // the mean_average_precision averaged over all bounding_box_metrics_entries. + float bounding_box_mean_average_precision = 6; +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/geometry.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/geometry.proto new file mode 100644 index 000000000..d5654aaca --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/geometry.proto @@ -0,0 +1,46 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// A vertex represents a 2D point in the image. +// The normalized vertex coordinates are between 0 to 1 fractions relative to +// the original plane (image, video). E.g. if the plane (e.g. whole image) would +// have size 10 x 20 then a point with normalized coordinates (0.1, 0.3) would +// be at the position (1, 6) on that plane. +message NormalizedVertex { + // Required. Horizontal coordinate. + float x = 1; + + // Required. Vertical coordinate. + float y = 2; +} + +// A bounding polygon of a detected object on a plane. +// On output both vertices and normalized_vertices are provided. +// The polygon is formed by connecting vertices in the order they are listed. +message BoundingPoly { + // Output only . The bounding polygon normalized vertices. + repeated NormalizedVertex normalized_vertices = 2; +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/image.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/image.proto new file mode 100644 index 000000000..960eaeb01 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/image.proto @@ -0,0 +1,193 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/resource.proto"; +import "google/cloud/automl/v1beta1/annotation_spec.proto"; +import "google/cloud/automl/v1beta1/classification.proto"; +import "google/protobuf/timestamp.proto"; +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_outer_classname = "ImageProto"; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// Dataset metadata that is specific to image classification. +message ImageClassificationDatasetMetadata { + // Required. Type of the classification problem. + ClassificationType classification_type = 1; +} + +// Dataset metadata specific to image object detection. +message ImageObjectDetectionDatasetMetadata { + +} + +// Model metadata for image classification. +message ImageClassificationModelMetadata { + // Optional. The ID of the `base` model. If it is specified, the new model + // will be created based on the `base` model. Otherwise, the new model will be + // created from scratch. The `base` model must be in the same + // `project` and `location` as the new model to create, and have the same + // `model_type`. + string base_model_id = 1; + + // Required. The train budget of creating this model, expressed in hours. The + // actual `train_cost` will be equal or less than this value. + int64 train_budget = 2; + + // Output only. The actual train cost of creating this model, expressed in + // hours. If this model is created from a `base` model, the train cost used + // to create the `base` model are not included. + int64 train_cost = 3; + + // Output only. The reason that this create model operation stopped, + // e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`. + string stop_reason = 5; + + // Optional. Type of the model. The available values are: + // * `cloud` - Model to be used via prediction calls to AutoML API. + // This is the default value. + // * `mobile-low-latency-1` - A model that, in addition to providing + // prediction via AutoML API, can also be exported (see + // [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device + // with TensorFlow afterwards. Expected to have low latency, but + // may have lower prediction quality than other models. + // * `mobile-versatile-1` - A model that, in addition to providing + // prediction via AutoML API, can also be exported (see + // [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device + // with TensorFlow afterwards. + // * `mobile-high-accuracy-1` - A model that, in addition to providing + // prediction via AutoML API, can also be exported (see + // [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device + // with TensorFlow afterwards. Expected to have a higher + // latency, but should also have a higher prediction quality + // than other models. + // * `mobile-core-ml-low-latency-1` - A model that, in addition to providing + // prediction via AutoML API, can also be exported (see + // [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core + // ML afterwards. Expected to have low latency, but may have + // lower prediction quality than other models. + // * `mobile-core-ml-versatile-1` - A model that, in addition to providing + // prediction via AutoML API, can also be exported (see + // [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core + // ML afterwards. + // * `mobile-core-ml-high-accuracy-1` - A model that, in addition to + // providing prediction via AutoML API, can also be exported + // (see [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with + // Core ML afterwards. Expected to have a higher latency, but + // should also have a higher prediction quality than other + // models. + string model_type = 7; + + // Output only. An approximate number of online prediction QPS that can + // be supported by this model per each node on which it is deployed. + double node_qps = 13; + + // Output only. The number of nodes this model is deployed on. A node is an + // abstraction of a machine resource, which can handle online prediction QPS + // as given in the node_qps field. + int64 node_count = 14; +} + +// Model metadata specific to image object detection. +message ImageObjectDetectionModelMetadata { + // Optional. Type of the model. The available values are: + // * `cloud-high-accuracy-1` - (default) A model to be used via prediction + // calls to AutoML API. Expected to have a higher latency, but + // should also have a higher prediction quality than other + // models. + // * `cloud-low-latency-1` - A model to be used via prediction + // calls to AutoML API. Expected to have low latency, but may + // have lower prediction quality than other models. + // * `mobile-low-latency-1` - A model that, in addition to providing + // prediction via AutoML API, can also be exported (see + // [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device + // with TensorFlow afterwards. Expected to have low latency, but + // may have lower prediction quality than other models. + // * `mobile-versatile-1` - A model that, in addition to providing + // prediction via AutoML API, can also be exported (see + // [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device + // with TensorFlow afterwards. + // * `mobile-high-accuracy-1` - A model that, in addition to providing + // prediction via AutoML API, can also be exported (see + // [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device + // with TensorFlow afterwards. Expected to have a higher + // latency, but should also have a higher prediction quality + // than other models. + string model_type = 1; + + // Output only. The number of nodes this model is deployed on. A node is an + // abstraction of a machine resource, which can handle online prediction QPS + // as given in the qps_per_node field. + int64 node_count = 3; + + // Output only. An approximate number of online prediction QPS that can + // be supported by this model per each node on which it is deployed. + double node_qps = 4; + + // Output only. The reason that this create model operation stopped, + // e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`. + string stop_reason = 5; + + // The train budget of creating this model, expressed in milli node + // hours i.e. 1,000 value in this field means 1 node hour. The actual + // `train_cost` will be equal or less than this value. If further model + // training ceases to provide any improvements, it will stop without using + // full budget and the stop_reason will be `MODEL_CONVERGED`. + // Note, node_hour = actual_hour * number_of_nodes_invovled. + // For model type `cloud-high-accuracy-1`(default) and `cloud-low-latency-1`, + // the train budget must be between 20,000 and 900,000 milli node hours, + // inclusive. The default value is 216, 000 which represents one day in + // wall time. + // For model type `mobile-low-latency-1`, `mobile-versatile-1`, + // `mobile-high-accuracy-1`, `mobile-core-ml-low-latency-1`, + // `mobile-core-ml-versatile-1`, `mobile-core-ml-high-accuracy-1`, the train + // budget must be between 1,000 and 100,000 milli node hours, inclusive. + // The default value is 24, 000 which represents one day in wall time. + int64 train_budget_milli_node_hours = 6; + + // Output only. The actual train cost of creating this model, expressed in + // milli node hours, i.e. 1,000 value in this field means 1 node hour. + // Guaranteed to not exceed the train budget. + int64 train_cost_milli_node_hours = 7; +} + +// Model deployment metadata specific to Image Classification. +message ImageClassificationModelDeploymentMetadata { + // Input only. The number of nodes to deploy the model on. A node is an + // abstraction of a machine resource, which can handle online prediction QPS + // as given in the model's + // + // [node_qps][google.cloud.automl.v1beta1.ImageClassificationModelMetadata.node_qps]. + // Must be between 1 and 100, inclusive on both ends. + int64 node_count = 1; +} + +// Model deployment metadata specific to Image Object Detection. +message ImageObjectDetectionModelDeploymentMetadata { + // Input only. The number of nodes to deploy the model on. A node is an + // abstraction of a machine resource, which can handle online prediction QPS + // as given in the model's + // + // [qps_per_node][google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.qps_per_node]. + // Must be between 1 and 100, inclusive on both ends. + int64 node_count = 1; +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/io.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/io.proto new file mode 100644 index 000000000..a99793830 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/io.proto @@ -0,0 +1,1132 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// Input configuration for ImportData Action. +// +// The format of input depends on dataset_metadata the Dataset into which +// the import is happening has. As input source the +// [gcs_source][google.cloud.automl.v1beta1.InputConfig.gcs_source] +// is expected, unless specified otherwise. Additionally any input .CSV file +// by itself must be 100MB or smaller, unless specified otherwise. +// If an "example" file (that is, image, video etc.) with identical content +// (even if it had different GCS_FILE_PATH) is mentioned multiple times, then +// its label, bounding boxes etc. are appended. The same file should be always +// provided with the same ML_USE and GCS_FILE_PATH, if it is not, then +// these values are nondeterministically selected from the given ones. +// +// The formats are represented in EBNF with commas being literal and with +// non-terminal symbols defined near the end of this comment. The formats are: +// +// * For Image Classification: +// CSV file(s) with each line in format: +// ML_USE,GCS_FILE_PATH,LABEL,LABEL,... +// GCS_FILE_PATH leads to image of up to 30MB in size. Supported +// extensions: .JPEG, .GIF, .PNG, .WEBP, .BMP, .TIFF, .ICO +// For MULTICLASS classification type, at most one LABEL is allowed +// per image. If an image has not yet been labeled, then it should be +// mentioned just once with no LABEL. +// Some sample rows: +// TRAIN,gs://folder/image1.jpg,daisy +// TEST,gs://folder/image2.jpg,dandelion,tulip,rose +// UNASSIGNED,gs://folder/image3.jpg,daisy +// UNASSIGNED,gs://folder/image4.jpg +// +// * For Image Object Detection: +// CSV file(s) with each line in format: +// ML_USE,GCS_FILE_PATH,(LABEL,BOUNDING_BOX | ,,,,,,,) +// GCS_FILE_PATH leads to image of up to 30MB in size. Supported +// extensions: .JPEG, .GIF, .PNG. +// Each image is assumed to be exhaustively labeled. The minimum +// allowed BOUNDING_BOX edge length is 0.01, and no more than 500 +// BOUNDING_BOX-es per image are allowed (one BOUNDING_BOX is defined +// per line). If an image has not yet been labeled, then it should be +// mentioned just once with no LABEL and the ",,,,,,," in place of the +// BOUNDING_BOX. For images which are known to not contain any +// bounding boxes, they should be labelled explictly as +// "NEGATIVE_IMAGE", followed by ",,,,,,," in place of the +// BOUNDING_BOX. +// Sample rows: +// TRAIN,gs://folder/image1.png,car,0.1,0.1,,,0.3,0.3,, +// TRAIN,gs://folder/image1.png,bike,.7,.6,,,.8,.9,, +// UNASSIGNED,gs://folder/im2.png,car,0.1,0.1,0.2,0.1,0.2,0.3,0.1,0.3 +// TEST,gs://folder/im3.png,,,,,,,,, +// TRAIN,gs://folder/im4.png,NEGATIVE_IMAGE,,,,,,,,, +// +// * For Video Classification: +// CSV file(s) with each line in format: +// ML_USE,GCS_FILE_PATH +// where ML_USE VALIDATE value should not be used. The GCS_FILE_PATH +// should lead to another .csv file which describes examples that have +// given ML_USE, using the following row format: +// GCS_FILE_PATH,(LABEL,TIME_SEGMENT_START,TIME_SEGMENT_END | ,,) +// Here GCS_FILE_PATH leads to a video of up to 50GB in size and up +// to 3h duration. Supported extensions: .MOV, .MPEG4, .MP4, .AVI. +// TIME_SEGMENT_START and TIME_SEGMENT_END must be within the +// length of the video, and end has to be after the start. Any segment +// of a video which has one or more labels on it, is considered a +// hard negative for all other labels. Any segment with no labels on +// it is considered to be unknown. If a whole video is unknown, then +// it shuold be mentioned just once with ",," in place of LABEL, +// TIME_SEGMENT_START,TIME_SEGMENT_END. +// Sample top level CSV file: +// TRAIN,gs://folder/train_videos.csv +// TEST,gs://folder/test_videos.csv +// UNASSIGNED,gs://folder/other_videos.csv +// Sample rows of a CSV file for a particular ML_USE: +// gs://folder/video1.avi,car,120,180.000021 +// gs://folder/video1.avi,bike,150,180.000021 +// gs://folder/vid2.avi,car,0,60.5 +// gs://folder/vid3.avi,,, +// +// * For Video Object Tracking: +// CSV file(s) with each line in format: +// ML_USE,GCS_FILE_PATH +// where ML_USE VALIDATE value should not be used. The GCS_FILE_PATH +// should lead to another .csv file which describes examples that have +// given ML_USE, using one of the following row format: +// GCS_FILE_PATH,LABEL,[INSTANCE_ID],TIMESTAMP,BOUNDING_BOX +// or +// GCS_FILE_PATH,,,,,,,,,, +// Here GCS_FILE_PATH leads to a video of up to 50GB in size and up +// to 3h duration. Supported extensions: .MOV, .MPEG4, .MP4, .AVI. +// Providing INSTANCE_IDs can help to obtain a better model. When +// a specific labeled entity leaves the video frame, and shows up +// afterwards it is not required, albeit preferable, that the same +// INSTANCE_ID is given to it. +// TIMESTAMP must be within the length of the video, the +// BOUNDING_BOX is assumed to be drawn on the closest video's frame +// to the TIMESTAMP. Any mentioned by the TIMESTAMP frame is expected +// to be exhaustively labeled and no more than 500 BOUNDING_BOX-es per +// frame are allowed. If a whole video is unknown, then it should be +// mentioned just once with ",,,,,,,,,," in place of LABEL, +// [INSTANCE_ID],TIMESTAMP,BOUNDING_BOX. +// Sample top level CSV file: +// TRAIN,gs://folder/train_videos.csv +// TEST,gs://folder/test_videos.csv +// UNASSIGNED,gs://folder/other_videos.csv +// Seven sample rows of a CSV file for a particular ML_USE: +// gs://folder/video1.avi,car,1,12.10,0.8,0.8,0.9,0.8,0.9,0.9,0.8,0.9 +// gs://folder/video1.avi,car,1,12.90,0.4,0.8,0.5,0.8,0.5,0.9,0.4,0.9 +// gs://folder/video1.avi,car,2,12.10,.4,.2,.5,.2,.5,.3,.4,.3 +// gs://folder/video1.avi,car,2,12.90,.8,.2,,,.9,.3,, +// gs://folder/video1.avi,bike,,12.50,.45,.45,,,.55,.55,, +// gs://folder/video2.avi,car,1,0,.1,.9,,,.9,.1,, +// gs://folder/video2.avi,,,,,,,,,,, +// * For Text Extraction: +// CSV file(s) with each line in format: +// ML_USE,GCS_FILE_PATH +// GCS_FILE_PATH leads to a .JSONL (that is, JSON Lines) file which +// either imports text in-line or as documents. Any given +// .JSONL file must be 100MB or smaller. +// The in-line .JSONL file contains, per line, a proto that wraps a +// TextSnippet proto (in json representation) followed by one or more +// AnnotationPayload protos (called annotations), which have +// display_name and text_extraction detail populated. The given text +// is expected to be annotated exhaustively, for example, if you look +// for animals and text contains "dolphin" that is not labeled, then +// "dolphin" is assumed to not be an animal. Any given text snippet +// content must be 10KB or smaller, and also be UTF-8 NFC encoded +// (ASCII already is). +// The document .JSONL file contains, per line, a proto that wraps a +// Document proto. The Document proto must have either document_text +// or input_config set. In document_text case, the Document proto may +// also contain the spatial information of the document, including +// layout, document dimension and page number. In input_config case, +// only PDF documents are supported now, and each document may be up +// to 2MB large. Currently, annotations on documents cannot be +// specified at import. +// Three sample CSV rows: +// TRAIN,gs://folder/file1.jsonl +// VALIDATE,gs://folder/file2.jsonl +// TEST,gs://folder/file3.jsonl +// Sample in-line JSON Lines file for entity extraction (presented here +// with artificial line breaks, but the only actual line break is +// denoted by \n).: +// { +// "document": { +// "document_text": {"content": "dog cat"} +// "layout": [ +// { +// "text_segment": { +// "start_offset": 0, +// "end_offset": 3, +// }, +// "page_number": 1, +// "bounding_poly": { +// "normalized_vertices": [ +// {"x": 0.1, "y": 0.1}, +// {"x": 0.1, "y": 0.3}, +// {"x": 0.3, "y": 0.3}, +// {"x": 0.3, "y": 0.1}, +// ], +// }, +// "text_segment_type": TOKEN, +// }, +// { +// "text_segment": { +// "start_offset": 4, +// "end_offset": 7, +// }, +// "page_number": 1, +// "bounding_poly": { +// "normalized_vertices": [ +// {"x": 0.4, "y": 0.1}, +// {"x": 0.4, "y": 0.3}, +// {"x": 0.8, "y": 0.3}, +// {"x": 0.8, "y": 0.1}, +// ], +// }, +// "text_segment_type": TOKEN, +// } +// +// ], +// "document_dimensions": { +// "width": 8.27, +// "height": 11.69, +// "unit": INCH, +// } +// "page_count": 1, +// }, +// "annotations": [ +// { +// "display_name": "animal", +// "text_extraction": {"text_segment": {"start_offset": 0, +// "end_offset": 3}} +// }, +// { +// "display_name": "animal", +// "text_extraction": {"text_segment": {"start_offset": 4, +// "end_offset": 7}} +// } +// ], +// }\n +// { +// "text_snippet": { +// "content": "This dog is good." +// }, +// "annotations": [ +// { +// "display_name": "animal", +// "text_extraction": { +// "text_segment": {"start_offset": 5, "end_offset": 8} +// } +// } +// ] +// } +// Sample document JSON Lines file (presented here with artificial line +// breaks, but the only actual line break is denoted by \n).: +// { +// "document": { +// "input_config": { +// "gcs_source": { "input_uris": [ "gs://folder/document1.pdf" ] +// } +// } +// } +// }\n +// { +// "document": { +// "input_config": { +// "gcs_source": { "input_uris": [ "gs://folder/document2.pdf" ] +// } +// } +// } +// } +// +// * For Text Classification: +// CSV file(s) with each line in format: +// ML_USE,(TEXT_SNIPPET | GCS_FILE_PATH),LABEL,LABEL,... +// TEXT_SNIPPET and GCS_FILE_PATH are distinguished by a pattern. If +// the column content is a valid gcs file path, i.e. prefixed by +// "gs://", it will be treated as a GCS_FILE_PATH, else if the content +// is enclosed within double quotes (""), it is +// treated as a TEXT_SNIPPET. In the GCS_FILE_PATH case, the path +// must lead to a .txt file with UTF-8 encoding, for example, +// "gs://folder/content.txt", and the content in it is extracted +// as a text snippet. In TEXT_SNIPPET case, the column content +// excluding quotes is treated as to be imported text snippet. In +// both cases, the text snippet/file size must be within 128kB. +// Maximum 100 unique labels are allowed per CSV row. +// Sample rows: +// TRAIN,"They have bad food and very rude",RudeService,BadFood +// TRAIN,gs://folder/content.txt,SlowService +// TEST,"Typically always bad service there.",RudeService +// VALIDATE,"Stomach ache to go.",BadFood +// +// * For Text Sentiment: +// CSV file(s) with each line in format: +// ML_USE,(TEXT_SNIPPET | GCS_FILE_PATH),SENTIMENT +// TEXT_SNIPPET and GCS_FILE_PATH are distinguished by a pattern. If +// the column content is a valid gcs file path, that is, prefixed by +// "gs://", it is treated as a GCS_FILE_PATH, otherwise it is treated +// as a TEXT_SNIPPET. In the GCS_FILE_PATH case, the path +// must lead to a .txt file with UTF-8 encoding, for example, +// "gs://folder/content.txt", and the content in it is extracted +// as a text snippet. In TEXT_SNIPPET case, the column content itself +// is treated as to be imported text snippet. In both cases, the +// text snippet must be up to 500 characters long. +// Sample rows: +// TRAIN,"@freewrytin this is way too good for your product",2 +// TRAIN,"I need this product so bad",3 +// TEST,"Thank you for this product.",4 +// VALIDATE,gs://folder/content.txt,2 +// +// * For Tables: +// Either +// [gcs_source][google.cloud.automl.v1beta1.InputConfig.gcs_source] or +// +// [bigquery_source][google.cloud.automl.v1beta1.InputConfig.bigquery_source] +// can be used. All inputs is concatenated into a single +// +// [primary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_name] +// For gcs_source: +// CSV file(s), where the first row of the first file is the header, +// containing unique column names. If the first row of a subsequent +// file is the same as the header, then it is also treated as a +// header. All other rows contain values for the corresponding +// columns. +// Each .CSV file by itself must be 10GB or smaller, and their total +// size must be 100GB or smaller. +// First three sample rows of a CSV file: +// "Id","First Name","Last Name","Dob","Addresses" +// +// "1","John","Doe","1968-01-22","[{"status":"current","address":"123_First_Avenue","city":"Seattle","state":"WA","zip":"11111","numberOfYears":"1"},{"status":"previous","address":"456_Main_Street","city":"Portland","state":"OR","zip":"22222","numberOfYears":"5"}]" +// +// "2","Jane","Doe","1980-10-16","[{"status":"current","address":"789_Any_Avenue","city":"Albany","state":"NY","zip":"33333","numberOfYears":"2"},{"status":"previous","address":"321_Main_Street","city":"Hoboken","state":"NJ","zip":"44444","numberOfYears":"3"}]} +// For bigquery_source: +// An URI of a BigQuery table. The user data size of the BigQuery +// table must be 100GB or smaller. +// An imported table must have between 2 and 1,000 columns, inclusive, +// and between 1000 and 100,000,000 rows, inclusive. There are at most 5 +// import data running in parallel. +// Definitions: +// ML_USE = "TRAIN" | "VALIDATE" | "TEST" | "UNASSIGNED" +// Describes how the given example (file) should be used for model +// training. "UNASSIGNED" can be used when user has no preference. +// GCS_FILE_PATH = A path to file on GCS, e.g. "gs://folder/image1.png". +// LABEL = A display name of an object on an image, video etc., e.g. "dog". +// Must be up to 32 characters long and can consist only of ASCII +// Latin letters A-Z and a-z, underscores(_), and ASCII digits 0-9. +// For each label an AnnotationSpec is created which display_name +// becomes the label; AnnotationSpecs are given back in predictions. +// INSTANCE_ID = A positive integer that identifies a specific instance of a +// labeled entity on an example. Used e.g. to track two cars on +// a video while being able to tell apart which one is which. +// BOUNDING_BOX = VERTEX,VERTEX,VERTEX,VERTEX | VERTEX,,,VERTEX,, +// A rectangle parallel to the frame of the example (image, +// video). If 4 vertices are given they are connected by edges +// in the order provided, if 2 are given they are recognized +// as diagonally opposite vertices of the rectangle. +// VERTEX = COORDINATE,COORDINATE +// First coordinate is horizontal (x), the second is vertical (y). +// COORDINATE = A float in 0 to 1 range, relative to total length of +// image or video in given dimension. For fractions the +// leading non-decimal 0 can be omitted (i.e. 0.3 = .3). +// Point 0,0 is in top left. +// TIME_SEGMENT_START = TIME_OFFSET +// Expresses a beginning, inclusive, of a time segment +// within an example that has a time dimension +// (e.g. video). +// TIME_SEGMENT_END = TIME_OFFSET +// Expresses an end, exclusive, of a time segment within +// an example that has a time dimension (e.g. video). +// TIME_OFFSET = A number of seconds as measured from the start of an +// example (e.g. video). Fractions are allowed, up to a +// microsecond precision. "inf" is allowed, and it means the end +// of the example. +// TEXT_SNIPPET = A content of a text snippet, UTF-8 encoded, enclosed within +// double quotes (""). +// SENTIMENT = An integer between 0 and +// Dataset.text_sentiment_dataset_metadata.sentiment_max +// (inclusive). Describes the ordinal of the sentiment - higher +// value means a more positive sentiment. All the values are +// completely relative, i.e. neither 0 needs to mean a negative or +// neutral sentiment nor sentiment_max needs to mean a positive one +// - it is just required that 0 is the least positive sentiment +// in the data, and sentiment_max is the most positive one. +// The SENTIMENT shouldn't be confused with "score" or "magnitude" +// from the previous Natural Language Sentiment Analysis API. +// All SENTIMENT values between 0 and sentiment_max must be +// represented in the imported data. On prediction the same 0 to +// sentiment_max range will be used. The difference between +// neighboring sentiment values needs not to be uniform, e.g. 1 and +// 2 may be similar whereas the difference between 2 and 3 may be +// huge. +// +// Errors: +// If any of the provided CSV files can't be parsed or if more than certain +// percent of CSV rows cannot be processed then the operation fails and +// nothing is imported. Regardless of overall success or failure the per-row +// failures, up to a certain count cap, is listed in +// Operation.metadata.partial_failures. +// +message InputConfig { + // The source of the input. + oneof source { + // The Google Cloud Storage location for the input content. + // In ImportData, the gcs_source points to a csv with structure described in + // the comment. + GcsSource gcs_source = 1; + + // The BigQuery location for the input content. + BigQuerySource bigquery_source = 3; + } + + // Additional domain-specific parameters describing the semantic of the + // imported data, any string must be up to 25000 + // characters long. + // + // * For Tables: + // `schema_inference_version` - (integer) Required. The version of the + // algorithm that should be used for the initial inference of the + // schema (columns' DataTypes) of the table the data is being imported + // into. Allowed values: "1". + map params = 2; +} + +// Input configuration for BatchPredict Action. +// +// The format of input depends on the ML problem of the model used for +// prediction. As input source the +// [gcs_source][google.cloud.automl.v1beta1.InputConfig.gcs_source] +// is expected, unless specified otherwise. +// +// The formats are represented in EBNF with commas being literal and with +// non-terminal symbols defined near the end of this comment. The formats +// are: +// +// * For Image Classification: +// CSV file(s) with each line having just a single column: +// GCS_FILE_PATH +// which leads to image of up to 30MB in size. Supported +// extensions: .JPEG, .GIF, .PNG. This path is treated as the ID in +// the Batch predict output. +// Three sample rows: +// gs://folder/image1.jpeg +// gs://folder/image2.gif +// gs://folder/image3.png +// +// * For Image Object Detection: +// CSV file(s) with each line having just a single column: +// GCS_FILE_PATH +// which leads to image of up to 30MB in size. Supported +// extensions: .JPEG, .GIF, .PNG. This path is treated as the ID in +// the Batch predict output. +// Three sample rows: +// gs://folder/image1.jpeg +// gs://folder/image2.gif +// gs://folder/image3.png +// * For Video Classification: +// CSV file(s) with each line in format: +// GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END +// GCS_FILE_PATH leads to video of up to 50GB in size and up to 3h +// duration. Supported extensions: .MOV, .MPEG4, .MP4, .AVI. +// TIME_SEGMENT_START and TIME_SEGMENT_END must be within the +// length of the video, and end has to be after the start. +// Three sample rows: +// gs://folder/video1.mp4,10,40 +// gs://folder/video1.mp4,20,60 +// gs://folder/vid2.mov,0,inf +// +// * For Video Object Tracking: +// CSV file(s) with each line in format: +// GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END +// GCS_FILE_PATH leads to video of up to 50GB in size and up to 3h +// duration. Supported extensions: .MOV, .MPEG4, .MP4, .AVI. +// TIME_SEGMENT_START and TIME_SEGMENT_END must be within the +// length of the video, and end has to be after the start. +// Three sample rows: +// gs://folder/video1.mp4,10,240 +// gs://folder/video1.mp4,300,360 +// gs://folder/vid2.mov,0,inf +// * For Text Classification: +// CSV file(s) with each line having just a single column: +// GCS_FILE_PATH | TEXT_SNIPPET +// Any given text file can have size upto 128kB. +// Any given text snippet content must have 60,000 characters or less. +// Three sample rows: +// gs://folder/text1.txt +// "Some text content to predict" +// gs://folder/text3.pdf +// Supported file extensions: .txt, .pdf +// +// * For Text Sentiment: +// CSV file(s) with each line having just a single column: +// GCS_FILE_PATH | TEXT_SNIPPET +// Any given text file can have size upto 128kB. +// Any given text snippet content must have 500 characters or less. +// Three sample rows: +// gs://folder/text1.txt +// "Some text content to predict" +// gs://folder/text3.pdf +// Supported file extensions: .txt, .pdf +// +// * For Text Extraction +// .JSONL (i.e. JSON Lines) file(s) which either provide text in-line or +// as documents (for a single BatchPredict call only one of the these +// formats may be used). +// The in-line .JSONL file(s) contain per line a proto that +// wraps a temporary user-assigned TextSnippet ID (string up to 2000 +// characters long) called "id", a TextSnippet proto (in +// json representation) and zero or more TextFeature protos. Any given +// text snippet content must have 30,000 characters or less, and also +// be UTF-8 NFC encoded (ASCII already is). The IDs provided should be +// unique. +// The document .JSONL file(s) contain, per line, a proto that wraps a +// Document proto with input_config set. Only PDF documents are +// supported now, and each document must be up to 2MB large. +// Any given .JSONL file must be 100MB or smaller, and no more than 20 +// files may be given. +// Sample in-line JSON Lines file (presented here with artificial line +// breaks, but the only actual line break is denoted by \n): +// { +// "id": "my_first_id", +// "text_snippet": { "content": "dog car cat"}, +// "text_features": [ +// { +// "text_segment": {"start_offset": 4, "end_offset": 6}, +// "structural_type": PARAGRAPH, +// "bounding_poly": { +// "normalized_vertices": [ +// {"x": 0.1, "y": 0.1}, +// {"x": 0.1, "y": 0.3}, +// {"x": 0.3, "y": 0.3}, +// {"x": 0.3, "y": 0.1}, +// ] +// }, +// } +// ], +// }\n +// { +// "id": "2", +// "text_snippet": { +// "content": "An elaborate content", +// "mime_type": "text/plain" +// } +// } +// Sample document JSON Lines file (presented here with artificial line +// breaks, but the only actual line break is denoted by \n).: +// { +// "document": { +// "input_config": { +// "gcs_source": { "input_uris": [ "gs://folder/document1.pdf" ] +// } +// } +// } +// }\n +// { +// "document": { +// "input_config": { +// "gcs_source": { "input_uris": [ "gs://folder/document2.pdf" ] +// } +// } +// } +// } +// +// * For Tables: +// Either +// [gcs_source][google.cloud.automl.v1beta1.InputConfig.gcs_source] or +// +// [bigquery_source][google.cloud.automl.v1beta1.InputConfig.bigquery_source]. +// GCS case: +// CSV file(s), each by itself 10GB or smaller and total size must be +// 100GB or smaller, where first file must have a header containing +// column names. If the first row of a subsequent file is the same as +// the header, then it is also treated as a header. All other rows +// contain values for the corresponding columns. +// The column names must contain the model's +// +// [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs] +// +// [display_name-s][google.cloud.automl.v1beta1.ColumnSpec.display_name] +// (order doesn't matter). The columns corresponding to the model's +// input feature column specs must contain values compatible with the +// column spec's data types. Prediction on all the rows, i.e. the CSV +// lines, will be attempted. For FORECASTING +// +// [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]: +// all columns having +// +// [TIME_SERIES_AVAILABLE_PAST_ONLY][google.cloud.automl.v1beta1.ColumnSpec.ForecastingMetadata.ColumnType] +// type will be ignored. +// First three sample rows of a CSV file: +// "First Name","Last Name","Dob","Addresses" +// +// "John","Doe","1968-01-22","[{"status":"current","address":"123_First_Avenue","city":"Seattle","state":"WA","zip":"11111","numberOfYears":"1"},{"status":"previous","address":"456_Main_Street","city":"Portland","state":"OR","zip":"22222","numberOfYears":"5"}]" +// +// "Jane","Doe","1980-10-16","[{"status":"current","address":"789_Any_Avenue","city":"Albany","state":"NY","zip":"33333","numberOfYears":"2"},{"status":"previous","address":"321_Main_Street","city":"Hoboken","state":"NJ","zip":"44444","numberOfYears":"3"}]} +// BigQuery case: +// An URI of a BigQuery table. The user data size of the BigQuery +// table must be 100GB or smaller. +// The column names must contain the model's +// +// [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs] +// +// [display_name-s][google.cloud.automl.v1beta1.ColumnSpec.display_name] +// (order doesn't matter). The columns corresponding to the model's +// input feature column specs must contain values compatible with the +// column spec's data types. Prediction on all the rows of the table +// will be attempted. For FORECASTING +// +// [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]: +// all columns having +// +// [TIME_SERIES_AVAILABLE_PAST_ONLY][google.cloud.automl.v1beta1.ColumnSpec.ForecastingMetadata.ColumnType] +// type will be ignored. +// +// Definitions: +// GCS_FILE_PATH = A path to file on GCS, e.g. "gs://folder/video.avi". +// TEXT_SNIPPET = A content of a text snippet, UTF-8 encoded, enclosed within +// double quotes ("") +// TIME_SEGMENT_START = TIME_OFFSET +// Expresses a beginning, inclusive, of a time segment +// within an +// example that has a time dimension (e.g. video). +// TIME_SEGMENT_END = TIME_OFFSET +// Expresses an end, exclusive, of a time segment within +// an example that has a time dimension (e.g. video). +// TIME_OFFSET = A number of seconds as measured from the start of an +// example (e.g. video). Fractions are allowed, up to a +// microsecond precision. "inf" is allowed and it means the end +// of the example. +// +// Errors: +// If any of the provided CSV files can't be parsed or if more than certain +// percent of CSV rows cannot be processed then the operation fails and +// prediction does not happen. Regardless of overall success or failure the +// per-row failures, up to a certain count cap, will be listed in +// Operation.metadata.partial_failures. +message BatchPredictInputConfig { + // Required. The source of the input. + oneof source { + // The Google Cloud Storage location for the input content. + GcsSource gcs_source = 1; + + // The BigQuery location for the input content. + BigQuerySource bigquery_source = 2; + } +} + +// Input configuration of a [Document][google.cloud.automl.v1beta1.Document]. +message DocumentInputConfig { + // The Google Cloud Storage location of the document file. Only a single path + // should be given. + // Max supported size: 512MB. + // Supported extensions: .PDF. + GcsSource gcs_source = 1; +} + +// * For Translation: +// CSV file `translation.csv`, with each line in format: +// ML_USE,GCS_FILE_PATH +// GCS_FILE_PATH leads to a .TSV file which describes examples that have +// given ML_USE, using the following row format per line: +// TEXT_SNIPPET (in source language) \t TEXT_SNIPPET (in target +// language) +// +// * For Tables: +// Output depends on whether the dataset was imported from GCS or +// BigQuery. +// GCS case: +// +// [gcs_destination][google.cloud.automl.v1beta1.OutputConfig.gcs_destination] +// must be set. Exported are CSV file(s) `tables_1.csv`, +// `tables_2.csv`,...,`tables_N.csv` with each having as header line +// the table's column names, and all other lines contain values for +// the header columns. +// BigQuery case: +// +// [bigquery_destination][google.cloud.automl.v1beta1.OutputConfig.bigquery_destination] +// pointing to a BigQuery project must be set. In the given project a +// new dataset will be created with name +// +// `export_data__` +// where will be made +// BigQuery-dataset-name compatible (e.g. most special characters will +// become underscores), and timestamp will be in +// YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In that +// dataset a new table called `primary_table` will be created, and +// filled with precisely the same data as this obtained on import. +message OutputConfig { + // Required. The destination of the output. + oneof destination { + // The Google Cloud Storage location where the output is to be written to. + // For Image Object Detection, Text Extraction, Video Classification and + // Tables, in the given directory a new directory will be created with name: + // export_data-- where + // timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export + // output will be written into that directory. + GcsDestination gcs_destination = 1; + + // The BigQuery location where the output is to be written to. + BigQueryDestination bigquery_destination = 2; + } +} + +// Output configuration for BatchPredict Action. +// +// As destination the +// +// [gcs_destination][google.cloud.automl.v1beta1.BatchPredictOutputConfig.gcs_destination] +// must be set unless specified otherwise for a domain. If gcs_destination is +// set then in the given directory a new directory is created. Its name +// will be +// "prediction--", +// where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. The contents +// of it depends on the ML problem the predictions are made for. +// +// * For Image Classification: +// In the created directory files `image_classification_1.jsonl`, +// `image_classification_2.jsonl`,...,`image_classification_N.jsonl` +// will be created, where N may be 1, and depends on the +// total number of the successfully predicted images and annotations. +// A single image will be listed only once with all its annotations, +// and its annotations will never be split across files. +// Each .JSONL file will contain, per line, a JSON representation of a +// proto that wraps image's "ID" : "" followed by a list of +// zero or more AnnotationPayload protos (called annotations), which +// have classification detail populated. +// If prediction for any image failed (partially or completely), then an +// additional `errors_1.jsonl`, `errors_2.jsonl`,..., `errors_N.jsonl` +// files will be created (N depends on total number of failed +// predictions). These files will have a JSON representation of a proto +// that wraps the same "ID" : "" but here followed by +// exactly one +// +// [`google.rpc.Status`](https: +// //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto) +// containing only `code` and `message`fields. +// +// * For Image Object Detection: +// In the created directory files `image_object_detection_1.jsonl`, +// `image_object_detection_2.jsonl`,...,`image_object_detection_N.jsonl` +// will be created, where N may be 1, and depends on the +// total number of the successfully predicted images and annotations. +// Each .JSONL file will contain, per line, a JSON representation of a +// proto that wraps image's "ID" : "" followed by a list of +// zero or more AnnotationPayload protos (called annotations), which +// have image_object_detection detail populated. A single image will +// be listed only once with all its annotations, and its annotations +// will never be split across files. +// If prediction for any image failed (partially or completely), then +// additional `errors_1.jsonl`, `errors_2.jsonl`,..., `errors_N.jsonl` +// files will be created (N depends on total number of failed +// predictions). These files will have a JSON representation of a proto +// that wraps the same "ID" : "" but here followed by +// exactly one +// +// [`google.rpc.Status`](https: +// //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto) +// containing only `code` and `message`fields. +// * For Video Classification: +// In the created directory a video_classification.csv file, and a .JSON +// file per each video classification requested in the input (i.e. each +// line in given CSV(s)), will be created. +// +// The format of video_classification.csv is: +// +// GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END,JSON_FILE_NAME,STATUS +// where: +// GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END = matches 1 to 1 +// the prediction input lines (i.e. video_classification.csv has +// precisely the same number of lines as the prediction input had.) +// JSON_FILE_NAME = Name of .JSON file in the output directory, which +// contains prediction responses for the video time segment. +// STATUS = "OK" if prediction completed successfully, or an error code +// with message otherwise. If STATUS is not "OK" then the .JSON file +// for that line may not exist or be empty. +// +// Each .JSON file, assuming STATUS is "OK", will contain a list of +// AnnotationPayload protos in JSON format, which are the predictions +// for the video time segment the file is assigned to in the +// video_classification.csv. All AnnotationPayload protos will have +// video_classification field set, and will be sorted by +// video_classification.type field (note that the returned types are +// governed by `classifaction_types` parameter in +// [PredictService.BatchPredictRequest.params][]). +// +// * For Video Object Tracking: +// In the created directory a video_object_tracking.csv file will be +// created, and multiple files video_object_trackinng_1.json, +// video_object_trackinng_2.json,..., video_object_trackinng_N.json, +// where N is the number of requests in the input (i.e. the number of +// lines in given CSV(s)). +// +// The format of video_object_tracking.csv is: +// +// GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END,JSON_FILE_NAME,STATUS +// where: +// GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END = matches 1 to 1 +// the prediction input lines (i.e. video_object_tracking.csv has +// precisely the same number of lines as the prediction input had.) +// JSON_FILE_NAME = Name of .JSON file in the output directory, which +// contains prediction responses for the video time segment. +// STATUS = "OK" if prediction completed successfully, or an error +// code with message otherwise. If STATUS is not "OK" then the .JSON +// file for that line may not exist or be empty. +// +// Each .JSON file, assuming STATUS is "OK", will contain a list of +// AnnotationPayload protos in JSON format, which are the predictions +// for each frame of the video time segment the file is assigned to in +// video_object_tracking.csv. All AnnotationPayload protos will have +// video_object_tracking field set. +// * For Text Classification: +// In the created directory files `text_classification_1.jsonl`, +// `text_classification_2.jsonl`,...,`text_classification_N.jsonl` +// will be created, where N may be 1, and depends on the +// total number of inputs and annotations found. +// +// Each .JSONL file will contain, per line, a JSON representation of a +// proto that wraps input text snippet or input text file and a list of +// zero or more AnnotationPayload protos (called annotations), which +// have classification detail populated. A single text snippet or file +// will be listed only once with all its annotations, and its +// annotations will never be split across files. +// +// If prediction for any text snippet or file failed (partially or +// completely), then additional `errors_1.jsonl`, `errors_2.jsonl`,..., +// `errors_N.jsonl` files will be created (N depends on total number of +// failed predictions). These files will have a JSON representation of a +// proto that wraps input text snippet or input text file followed by +// exactly one +// +// [`google.rpc.Status`](https: +// //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto) +// containing only `code` and `message`. +// +// * For Text Sentiment: +// In the created directory files `text_sentiment_1.jsonl`, +// `text_sentiment_2.jsonl`,...,`text_sentiment_N.jsonl` +// will be created, where N may be 1, and depends on the +// total number of inputs and annotations found. +// +// Each .JSONL file will contain, per line, a JSON representation of a +// proto that wraps input text snippet or input text file and a list of +// zero or more AnnotationPayload protos (called annotations), which +// have text_sentiment detail populated. A single text snippet or file +// will be listed only once with all its annotations, and its +// annotations will never be split across files. +// +// If prediction for any text snippet or file failed (partially or +// completely), then additional `errors_1.jsonl`, `errors_2.jsonl`,..., +// `errors_N.jsonl` files will be created (N depends on total number of +// failed predictions). These files will have a JSON representation of a +// proto that wraps input text snippet or input text file followed by +// exactly one +// +// [`google.rpc.Status`](https: +// //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto) +// containing only `code` and `message`. +// +// * For Text Extraction: +// In the created directory files `text_extraction_1.jsonl`, +// `text_extraction_2.jsonl`,...,`text_extraction_N.jsonl` +// will be created, where N may be 1, and depends on the +// total number of inputs and annotations found. +// The contents of these .JSONL file(s) depend on whether the input +// used inline text, or documents. +// If input was inline, then each .JSONL file will contain, per line, +// a JSON representation of a proto that wraps given in request text +// snippet's "id" (if specified), followed by input text snippet, +// and a list of zero or more +// AnnotationPayload protos (called annotations), which have +// text_extraction detail populated. A single text snippet will be +// listed only once with all its annotations, and its annotations will +// never be split across files. +// If input used documents, then each .JSONL file will contain, per +// line, a JSON representation of a proto that wraps given in request +// document proto, followed by its OCR-ed representation in the form +// of a text snippet, finally followed by a list of zero or more +// AnnotationPayload protos (called annotations), which have +// text_extraction detail populated and refer, via their indices, to +// the OCR-ed text snippet. A single document (and its text snippet) +// will be listed only once with all its annotations, and its +// annotations will never be split across files. +// If prediction for any text snippet failed (partially or completely), +// then additional `errors_1.jsonl`, `errors_2.jsonl`,..., +// `errors_N.jsonl` files will be created (N depends on total number of +// failed predictions). These files will have a JSON representation of a +// proto that wraps either the "id" : "" (in case of inline) +// or the document proto (in case of document) but here followed by +// exactly one +// +// [`google.rpc.Status`](https: +// //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto) +// containing only `code` and `message`. +// +// * For Tables: +// Output depends on whether +// +// [gcs_destination][google.cloud.automl.v1beta1.BatchPredictOutputConfig.gcs_destination] +// or +// +// [bigquery_destination][google.cloud.automl.v1beta1.BatchPredictOutputConfig.bigquery_destination] +// is set (either is allowed). +// GCS case: +// In the created directory files `tables_1.csv`, `tables_2.csv`,..., +// `tables_N.csv` will be created, where N may be 1, and depends on +// the total number of the successfully predicted rows. +// For all CLASSIFICATION +// +// [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]: +// Each .csv file will contain a header, listing all columns' +// +// [display_name-s][google.cloud.automl.v1beta1.ColumnSpec.display_name] +// given on input followed by M target column names in the format of +// +// "<[target_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec] +// +// [display_name][google.cloud.automl.v1beta1.ColumnSpec.display_name]>__score" where M is the number of distinct target values, +// i.e. number of distinct values in the target column of the table +// used to train the model. Subsequent lines will contain the +// respective values of successfully predicted rows, with the last, +// i.e. the target, columns having the corresponding prediction +// [scores][google.cloud.automl.v1beta1.TablesAnnotation.score]. +// For REGRESSION and FORECASTING +// +// [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]: +// Each .csv file will contain a header, listing all columns' +// [display_name-s][google.cloud.automl.v1beta1.display_name] given +// on input followed by the predicted target column with name in the +// format of +// +// "predicted_<[target_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec] +// +// [display_name][google.cloud.automl.v1beta1.ColumnSpec.display_name]>" +// Subsequent lines will contain the respective values of +// successfully predicted rows, with the last, i.e. the target, +// column having the predicted target value. +// If prediction for any rows failed, then an additional +// `errors_1.csv`, `errors_2.csv`,..., `errors_N.csv` will be +// created (N depends on total number of failed rows). These files +// will have analogous format as `tables_*.csv`, but always with a +// single target column having +// +// [`google.rpc.Status`](https: +// //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto) +// represented as a JSON string, and containing only `code` and +// `message`. +// BigQuery case: +// +// [bigquery_destination][google.cloud.automl.v1beta1.OutputConfig.bigquery_destination] +// pointing to a BigQuery project must be set. In the given project a +// new dataset will be created with name +// `prediction__` +// where will be made +// BigQuery-dataset-name compatible (e.g. most special characters will +// become underscores), and timestamp will be in +// YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset +// two tables will be created, `predictions`, and `errors`. +// The `predictions` table's column names will be the input columns' +// +// [display_name-s][google.cloud.automl.v1beta1.ColumnSpec.display_name] +// followed by the target column with name in the format of +// +// "predicted_<[target_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec] +// +// [display_name][google.cloud.automl.v1beta1.ColumnSpec.display_name]>" +// The input feature columns will contain the respective values of +// successfully predicted rows, with the target column having an +// ARRAY of +// +// [AnnotationPayloads][google.cloud.automl.v1beta1.AnnotationPayload], +// represented as STRUCT-s, containing +// [TablesAnnotation][google.cloud.automl.v1beta1.TablesAnnotation]. +// The `errors` table contains rows for which the prediction has +// failed, it has analogous input columns while the target column name +// is in the format of +// +// "errors_<[target_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec] +// +// [display_name][google.cloud.automl.v1beta1.ColumnSpec.display_name]>", +// and as a value has +// +// [`google.rpc.Status`](https: +// //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto) +// represented as a STRUCT, and containing only `code` and `message`. +message BatchPredictOutputConfig { + // Required. The destination of the output. + oneof destination { + // The Google Cloud Storage location of the directory where the output is to + // be written to. + GcsDestination gcs_destination = 1; + + // The BigQuery location where the output is to be written to. + BigQueryDestination bigquery_destination = 2; + } +} + +// Output configuration for ModelExport Action. +message ModelExportOutputConfig { + // Required. The destination of the output. + oneof destination { + // The Google Cloud Storage location where the model is to be written to. + // This location may only be set for the following model formats: + // "tflite", "edgetpu_tflite", "tf_saved_model", "tf_js", "core_ml". + // + // Under the directory given as the destination a new one with name + // "model-export--", + // where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format, + // will be created. Inside the model and any of its supporting files + // will be written. + GcsDestination gcs_destination = 1; + + // The GCR location where model image is to be pushed to. This location + // may only be set for the following model formats: + // "docker". + // + // The model image will be created under the given URI. + GcrDestination gcr_destination = 3; + } + + // The format in which the model must be exported. The available, and default, + // formats depend on the problem and model type (if given problem and type + // combination doesn't have a format listed, it means its models are not + // exportable): + // + // * For Image Classification mobile-low-latency-1, mobile-versatile-1, + // mobile-high-accuracy-1: + // "tflite" (default), "edgetpu_tflite", "tf_saved_model", "tf_js", + // "docker". + // + // * For Image Classification mobile-core-ml-low-latency-1, + // mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1: + // "core_ml" (default). + // Formats description: + // + // * tflite - Used for Android mobile devices. + // * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/) + // devices. + // * tf_saved_model - A tensorflow model in SavedModel format. + // * tf_js - A [TensorFlow.js](https://www.tensorflow.org/js) model that can + // be used in the browser and in Node.js using JavaScript. + // * docker - Used for Docker containers. Use the params field to customize + // the container. The container is verified to work correctly on + // ubuntu 16.04 operating system. See more at + // [containers + // + // quickstart](https: + // //cloud.google.com/vision/automl/docs/containers-gcs-quickstart) + // * core_ml - Used for iOS mobile devices. + string model_format = 4; + + // Additional model-type and format specific parameters describing the + // requirements for the to be exported model files, any string must be up to + // 25000 characters long. + // + // * For `docker` format: + // `cpu_architecture` - (string) "x86_64" (default). + // `gpu_architecture` - (string) "none" (default), "nvidia". + map params = 2; +} + +// Output configuration for ExportEvaluatedExamples Action. Note that this call +// is available only for 30 days since the moment the model was evaluated. +// The output depends on the domain, as follows (note that only examples from +// the TEST set are exported): +// +// * For Tables: +// +// [bigquery_destination][google.cloud.automl.v1beta1.OutputConfig.bigquery_destination] +// pointing to a BigQuery project must be set. In the given project a +// new dataset will be created with name +// +// `export_evaluated_examples__` +// where will be made BigQuery-dataset-name +// compatible (e.g. most special characters will become underscores), +// and timestamp will be in YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" +// format. In the dataset an `evaluated_examples` table will be +// created. It will have all the same columns as the +// +// [primary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id] +// of the +// [dataset][google.cloud.automl.v1beta1.Model.dataset_id] from which +// the model was created, as they were at the moment of model's +// evaluation (this includes the target column with its ground +// truth), followed by a column called "predicted_". That +// last column will contain the model's prediction result for each +// respective row, given as ARRAY of +// [AnnotationPayloads][google.cloud.automl.v1beta1.AnnotationPayload], +// represented as STRUCT-s, containing +// [TablesAnnotation][google.cloud.automl.v1beta1.TablesAnnotation]. +message ExportEvaluatedExamplesOutputConfig { + // Required. The destination of the output. + oneof destination { + // The BigQuery location where the output is to be written to. + BigQueryDestination bigquery_destination = 2; + } +} + +// The Google Cloud Storage location for the input content. +message GcsSource { + // Required. Google Cloud Storage URIs to input files, up to 2000 characters + // long. Accepted forms: + // * Full object path, e.g. gs://bucket/directory/object.csv + repeated string input_uris = 1; +} + +// The BigQuery location for the input content. +message BigQuerySource { + // Required. BigQuery URI to a table, up to 2000 characters long. + // Accepted forms: + // * BigQuery path e.g. bq://projectId.bqDatasetId.bqTableId + string input_uri = 1; +} + +// The Google Cloud Storage location where the output is to be written to. +message GcsDestination { + // Required. Google Cloud Storage URI to output directory, up to 2000 + // characters long. + // Accepted forms: + // * Prefix path: gs://bucket/directory + // The requesting user must have write permission to the bucket. + // The directory is created if it doesn't exist. + string output_uri_prefix = 1; +} + +// The BigQuery location for the output content. +message BigQueryDestination { + // Required. BigQuery URI to a project, up to 2000 characters long. + // Accepted forms: + // * BigQuery path e.g. bq://projectId + string output_uri = 1; +} + +// The GCR location where the image must be pushed to. +message GcrDestination { + // Required. Google Contained Registry URI of the new image, up to 2000 + // characters long. See + // + // https: + // //cloud.google.com/container-registry/do + // // cs/pushing-and-pulling#pushing_an_image_to_a_registry + // Accepted forms: + // * [HOSTNAME]/[PROJECT-ID]/[IMAGE] + // * [HOSTNAME]/[PROJECT-ID]/[IMAGE]:[TAG] + // + // The requesting user must have permission to push images the project. + string output_uri = 1; +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/model.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/model.proto new file mode 100644 index 000000000..2b2e8d73f --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/model.proto @@ -0,0 +1,108 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/resource.proto"; +import "google/cloud/automl/v1beta1/image.proto"; +import "google/cloud/automl/v1beta1/tables.proto"; +import "google/cloud/automl/v1beta1/text.proto"; +import "google/cloud/automl/v1beta1/translation.proto"; +import "google/cloud/automl/v1beta1/video.proto"; +import "google/protobuf/timestamp.proto"; +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// API proto representing a trained machine learning model. +message Model { + option (google.api.resource) = { + type: "automl.googleapis.com/Model" + pattern: "projects/{project}/locations/{location}/models/{model}" + }; + + // Deployment state of the model. + enum DeploymentState { + // Should not be used, an un-set enum has this value by default. + DEPLOYMENT_STATE_UNSPECIFIED = 0; + + // Model is deployed. + DEPLOYED = 1; + + // Model is not deployed. + UNDEPLOYED = 2; + } + + // Required. + // The model metadata that is specific to the problem type. + // Must match the metadata type of the dataset used to train the model. + oneof model_metadata { + // Metadata for translation models. + TranslationModelMetadata translation_model_metadata = 15; + + // Metadata for image classification models. + ImageClassificationModelMetadata image_classification_model_metadata = 13; + + // Metadata for text classification models. + TextClassificationModelMetadata text_classification_model_metadata = 14; + + // Metadata for image object detection models. + ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20; + + // Metadata for video classification models. + VideoClassificationModelMetadata video_classification_model_metadata = 23; + + // Metadata for video object tracking models. + VideoObjectTrackingModelMetadata video_object_tracking_model_metadata = 21; + + // Metadata for text extraction models. + TextExtractionModelMetadata text_extraction_model_metadata = 19; + + // Metadata for Tables models. + TablesModelMetadata tables_model_metadata = 24; + + // Metadata for text sentiment models. + TextSentimentModelMetadata text_sentiment_model_metadata = 22; + } + + // Output only. Resource name of the model. + // Format: `projects/{project_id}/locations/{location_id}/models/{model_id}` + string name = 1; + + // Required. The name of the model to show in the interface. The name can be + // up to 32 characters long and can consist only of ASCII Latin letters A-Z + // and a-z, underscores + // (_), and ASCII digits 0-9. It must start with a letter. + string display_name = 2; + + // Required. The resource ID of the dataset used to create the model. The dataset must + // come from the same ancestor project and location. + string dataset_id = 3; + + // Output only. Timestamp when the model training finished and can be used for prediction. + google.protobuf.Timestamp create_time = 7; + + // Output only. Timestamp when this model was last updated. + google.protobuf.Timestamp update_time = 11; + + // Output only. Deployment state of the model. A model can only serve + // prediction requests after it gets deployed. + DeploymentState deployment_state = 8; +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/model_evaluation.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/model_evaluation.proto new file mode 100644 index 000000000..d5633fcdf --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/model_evaluation.proto @@ -0,0 +1,116 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/resource.proto"; +import "google/cloud/automl/v1beta1/classification.proto"; +import "google/cloud/automl/v1beta1/detection.proto"; +import "google/cloud/automl/v1beta1/regression.proto"; +import "google/cloud/automl/v1beta1/tables.proto"; +import "google/cloud/automl/v1beta1/text_extraction.proto"; +import "google/cloud/automl/v1beta1/text_sentiment.proto"; +import "google/cloud/automl/v1beta1/translation.proto"; +import "google/protobuf/timestamp.proto"; +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// Evaluation results of a model. +message ModelEvaluation { + option (google.api.resource) = { + type: "automl.googleapis.com/ModelEvaluation" + pattern: "projects/{project}/locations/{location}/models/{model}/modelEvaluations/{model_evaluation}" + }; + + // Output only. Problem type specific evaluation metrics. + oneof metrics { + // Model evaluation metrics for image, text, video and tables + // classification. + // Tables problem is considered a classification when the target column + // is CATEGORY DataType. + ClassificationEvaluationMetrics classification_evaluation_metrics = 8; + + // Model evaluation metrics for Tables regression. + // Tables problem is considered a regression when the target column + // has FLOAT64 DataType. + RegressionEvaluationMetrics regression_evaluation_metrics = 24; + + // Model evaluation metrics for translation. + TranslationEvaluationMetrics translation_evaluation_metrics = 9; + + // Model evaluation metrics for image object detection. + ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; + + // Model evaluation metrics for video object tracking. + VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; + + // Evaluation metrics for text sentiment models. + TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; + + // Evaluation metrics for text extraction models. + TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; + } + + // Output only. Resource name of the model evaluation. + // Format: + // + // `projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}` + string name = 1; + + // Output only. The ID of the annotation spec that the model evaluation applies to. The + // The ID is empty for the overall model evaluation. + // For Tables annotation specs in the dataset do not exist and this ID is + // always not set, but for CLASSIFICATION + // + // [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type] + // the + // [display_name][google.cloud.automl.v1beta1.ModelEvaluation.display_name] + // field is used. + string annotation_spec_id = 2; + + // Output only. The value of + // [display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] at + // the moment when the model was trained. Because this field returns a value + // at model training time, for different models trained from the same dataset, + // the values may differ, since display names could had been changed between + // the two model's trainings. + // For Tables CLASSIFICATION + // + // [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type] + // distinct values of the target column at the moment of the model evaluation + // are populated here. + // The display_name is empty for the overall model evaluation. + string display_name = 15; + + // Output only. Timestamp when this model evaluation was created. + google.protobuf.Timestamp create_time = 5; + + // Output only. The number of examples used for model evaluation, i.e. for + // which ground truth from time of model creation is compared against the + // predicted annotations created by the model. + // For overall ModelEvaluation (i.e. with annotation_spec_id not set) this is + // the total number of all examples used for evaluation. + // Otherwise, this is the count of examples that according to the ground + // truth were annotated by the + // + // [annotation_spec_id][google.cloud.automl.v1beta1.ModelEvaluation.annotation_spec_id]. + int32 evaluated_example_count = 6; +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/operations.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/operations.proto new file mode 100644 index 000000000..cce3fedc5 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/operations.proto @@ -0,0 +1,189 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/cloud/automl/v1beta1/io.proto"; +import "google/cloud/automl/v1beta1/model.proto"; +import "google/cloud/automl/v1beta1/model_evaluation.proto"; +import "google/protobuf/empty.proto"; +import "google/protobuf/timestamp.proto"; +import "google/rpc/status.proto"; +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// Metadata used across all long running operations returned by AutoML API. +message OperationMetadata { + // Ouptut only. Details of specific operation. Even if this field is empty, + // the presence allows to distinguish different types of operations. + oneof details { + // Details of a Delete operation. + DeleteOperationMetadata delete_details = 8; + + // Details of a DeployModel operation. + DeployModelOperationMetadata deploy_model_details = 24; + + // Details of an UndeployModel operation. + UndeployModelOperationMetadata undeploy_model_details = 25; + + // Details of CreateModel operation. + CreateModelOperationMetadata create_model_details = 10; + + // Details of ImportData operation. + ImportDataOperationMetadata import_data_details = 15; + + // Details of BatchPredict operation. + BatchPredictOperationMetadata batch_predict_details = 16; + + // Details of ExportData operation. + ExportDataOperationMetadata export_data_details = 21; + + // Details of ExportModel operation. + ExportModelOperationMetadata export_model_details = 22; + + // Details of ExportEvaluatedExamples operation. + ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26; + } + + // Output only. Progress of operation. Range: [0, 100]. + // Not used currently. + int32 progress_percent = 13; + + // Output only. Partial failures encountered. + // E.g. single files that couldn't be read. + // This field should never exceed 20 entries. + // Status details field will contain standard GCP error details. + repeated google.rpc.Status partial_failures = 2; + + // Output only. Time when the operation was created. + google.protobuf.Timestamp create_time = 3; + + // Output only. Time when the operation was updated for the last time. + google.protobuf.Timestamp update_time = 4; +} + +// Details of operations that perform deletes of any entities. +message DeleteOperationMetadata { + +} + +// Details of DeployModel operation. +message DeployModelOperationMetadata { + +} + +// Details of UndeployModel operation. +message UndeployModelOperationMetadata { + +} + +// Details of CreateModel operation. +message CreateModelOperationMetadata { + +} + +// Details of ImportData operation. +message ImportDataOperationMetadata { + +} + +// Details of ExportData operation. +message ExportDataOperationMetadata { + // Further describes this export data's output. + // Supplements + // [OutputConfig][google.cloud.automl.v1beta1.OutputConfig]. + message ExportDataOutputInfo { + // The output location to which the exported data is written. + oneof output_location { + // The full path of the Google Cloud Storage directory created, into which + // the exported data is written. + string gcs_output_directory = 1; + + // The path of the BigQuery dataset created, in bq://projectId.bqDatasetId + // format, into which the exported data is written. + string bigquery_output_dataset = 2; + } + } + + // Output only. Information further describing this export data's output. + ExportDataOutputInfo output_info = 1; +} + +// Details of BatchPredict operation. +message BatchPredictOperationMetadata { + // Further describes this batch predict's output. + // Supplements + // + // [BatchPredictOutputConfig][google.cloud.automl.v1beta1.BatchPredictOutputConfig]. + message BatchPredictOutputInfo { + // The output location into which prediction output is written. + oneof output_location { + // The full path of the Google Cloud Storage directory created, into which + // the prediction output is written. + string gcs_output_directory = 1; + + // The path of the BigQuery dataset created, in bq://projectId.bqDatasetId + // format, into which the prediction output is written. + string bigquery_output_dataset = 2; + } + } + + // Output only. The input config that was given upon starting this + // batch predict operation. + BatchPredictInputConfig input_config = 1; + + // Output only. Information further describing this batch predict's output. + BatchPredictOutputInfo output_info = 2; +} + +// Details of ExportModel operation. +message ExportModelOperationMetadata { + // Further describes the output of model export. + // Supplements + // + // [ModelExportOutputConfig][google.cloud.automl.v1beta1.ModelExportOutputConfig]. + message ExportModelOutputInfo { + // The full path of the Google Cloud Storage directory created, into which + // the model will be exported. + string gcs_output_directory = 1; + } + + // Output only. Information further describing the output of this model + // export. + ExportModelOutputInfo output_info = 2; +} + +// Details of EvaluatedExamples operation. +message ExportEvaluatedExamplesOperationMetadata { + // Further describes the output of the evaluated examples export. + // Supplements + // + // [ExportEvaluatedExamplesOutputConfig][google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig]. + message ExportEvaluatedExamplesOutputInfo { + // The path of the BigQuery dataset created, in bq://projectId.bqDatasetId + // format, into which the output of export evaluated examples is written. + string bigquery_output_dataset = 2; + } + + // Output only. Information further describing the output of this evaluated + // examples export. + ExportEvaluatedExamplesOutputInfo output_info = 2; +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/prediction_service.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/prediction_service.proto new file mode 100644 index 000000000..0bcf685e0 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/prediction_service.proto @@ -0,0 +1,268 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/annotations.proto"; +import "google/api/client.proto"; +import "google/api/field_behavior.proto"; +import "google/api/resource.proto"; +import "google/cloud/automl/v1beta1/annotation_payload.proto"; +import "google/cloud/automl/v1beta1/data_items.proto"; +import "google/cloud/automl/v1beta1/io.proto"; +import "google/cloud/automl/v1beta1/operations.proto"; +import "google/longrunning/operations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_outer_classname = "PredictionServiceProto"; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// AutoML Prediction API. +// +// On any input that is documented to expect a string parameter in +// snake_case or kebab-case, either of those cases is accepted. +service PredictionService { + option (google.api.default_host) = "automl.googleapis.com"; + option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform"; + + // Perform an online prediction. The prediction result will be directly + // returned in the response. + // Available for following ML problems, and their expected request payloads: + // * Image Classification - Image in .JPEG, .GIF or .PNG format, image_bytes + // up to 30MB. + // * Image Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes + // up to 30MB. + // * Text Classification - TextSnippet, content up to 60,000 characters, + // UTF-8 encoded. + // * Text Extraction - TextSnippet, content up to 30,000 characters, + // UTF-8 NFC encoded. + // * Translation - TextSnippet, content up to 25,000 characters, UTF-8 + // encoded. + // * Tables - Row, with column values matching the columns of the model, + // up to 5MB. Not available for FORECASTING + // + // [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]. + // * Text Sentiment - TextSnippet, content up 500 characters, UTF-8 + // encoded. + rpc Predict(PredictRequest) returns (PredictResponse) { + option (google.api.http) = { + post: "/v1beta1/{name=projects/*/locations/*/models/*}:predict" + body: "*" + }; + option (google.api.method_signature) = "name,payload,params"; + } + + // Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch + // prediction result won't be immediately available in the response. Instead, + // a long running operation object is returned. User can poll the operation + // result via [GetOperation][google.longrunning.Operations.GetOperation] + // method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in + // the [response][google.longrunning.Operation.response] field. + // Available for following ML problems: + // * Image Classification + // * Image Object Detection + // * Video Classification + // * Video Object Tracking * Text Extraction + // * Tables + rpc BatchPredict(BatchPredictRequest) returns (google.longrunning.Operation) { + option (google.api.http) = { + post: "/v1beta1/{name=projects/*/locations/*/models/*}:batchPredict" + body: "*" + }; + option (google.api.method_signature) = "name,input_config,output_config,params"; + option (google.longrunning.operation_info) = { + response_type: "BatchPredictResult" + metadata_type: "OperationMetadata" + }; + } +} + +// Request message for [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict]. +message PredictRequest { + // Required. Name of the model requested to serve the prediction. + string name = 1 [ + (google.api.field_behavior) = REQUIRED, + (google.api.resource_reference) = { + type: "automl.googleapis.com/Model" + } + ]; + + // Required. Payload to perform a prediction on. The payload must match the + // problem type that the model was trained to solve. + ExamplePayload payload = 2 [(google.api.field_behavior) = REQUIRED]; + + // Additional domain-specific parameters, any string must be up to 25000 + // characters long. + // + // * For Image Classification: + // + // `score_threshold` - (float) A value from 0.0 to 1.0. When the model + // makes predictions for an image, it will only produce results that have + // at least this confidence score. The default is 0.5. + // + // * For Image Object Detection: + // `score_threshold` - (float) When Model detects objects on the image, + // it will only produce bounding boxes which have at least this + // confidence score. Value in 0 to 1 range, default is 0.5. + // `max_bounding_box_count` - (int64) No more than this number of bounding + // boxes will be returned in the response. Default is 100, the + // requested value may be limited by server. + // * For Tables: + // feature_importance - (boolean) Whether feature importance + // should be populated in the returned TablesAnnotation. + // The default is false. + map params = 3; +} + +// Response message for [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict]. +message PredictResponse { + // Prediction result. + // Translation and Text Sentiment will return precisely one payload. + repeated AnnotationPayload payload = 1; + + // The preprocessed example that AutoML actually makes prediction on. + // Empty if AutoML does not preprocess the input example. + // * For Text Extraction: + // If the input is a .pdf file, the OCR'ed text will be provided in + // [document_text][google.cloud.automl.v1beta1.Document.document_text]. + ExamplePayload preprocessed_input = 3; + + // Additional domain-specific prediction response metadata. + // + // * For Image Object Detection: + // `max_bounding_box_count` - (int64) At most that many bounding boxes per + // image could have been returned. + // + // * For Text Sentiment: + // `sentiment_score` - (float, deprecated) A value between -1 and 1, + // -1 maps to least positive sentiment, while 1 maps to the most positive + // one and the higher the score, the more positive the sentiment in the + // document is. Yet these values are relative to the training data, so + // e.g. if all data was positive then -1 will be also positive (though + // the least). + // The sentiment_score shouldn't be confused with "score" or "magnitude" + // from the previous Natural Language Sentiment Analysis API. + map metadata = 2; +} + +// Request message for [PredictionService.BatchPredict][google.cloud.automl.v1beta1.PredictionService.BatchPredict]. +message BatchPredictRequest { + // Required. Name of the model requested to serve the batch prediction. + string name = 1 [ + (google.api.field_behavior) = REQUIRED, + (google.api.resource_reference) = { + type: "automl.googleapis.com/Model" + } + ]; + + // Required. The input configuration for batch prediction. + BatchPredictInputConfig input_config = 3 [(google.api.field_behavior) = REQUIRED]; + + // Required. The Configuration specifying where output predictions should + // be written. + BatchPredictOutputConfig output_config = 4 [(google.api.field_behavior) = REQUIRED]; + + // Required. Additional domain-specific parameters for the predictions, any string must + // be up to 25000 characters long. + // + // * For Text Classification: + // + // `score_threshold` - (float) A value from 0.0 to 1.0. When the model + // makes predictions for a text snippet, it will only produce results + // that have at least this confidence score. The default is 0.5. + // + // * For Image Classification: + // + // `score_threshold` - (float) A value from 0.0 to 1.0. When the model + // makes predictions for an image, it will only produce results that + // have at least this confidence score. The default is 0.5. + // + // * For Image Object Detection: + // + // `score_threshold` - (float) When Model detects objects on the image, + // it will only produce bounding boxes which have at least this + // confidence score. Value in 0 to 1 range, default is 0.5. + // `max_bounding_box_count` - (int64) No more than this number of bounding + // boxes will be produced per image. Default is 100, the + // requested value may be limited by server. + // + // * For Video Classification : + // + // `score_threshold` - (float) A value from 0.0 to 1.0. When the model + // makes predictions for a video, it will only produce results that + // have at least this confidence score. The default is 0.5. + // `segment_classification` - (boolean) Set to true to request + // segment-level classification. AutoML Video Intelligence returns + // labels and their confidence scores for the entire segment of the + // video that user specified in the request configuration. + // The default is "true". + // `shot_classification` - (boolean) Set to true to request shot-level + // classification. AutoML Video Intelligence determines the boundaries + // for each camera shot in the entire segment of the video that user + // specified in the request configuration. AutoML Video Intelligence + // then returns labels and their confidence scores for each detected + // shot, along with the start and end time of the shot. + // WARNING: Model evaluation is not done for this classification type, + // the quality of it depends on training data, but there are no metrics + // provided to describe that quality. The default is "false". + // `1s_interval_classification` - (boolean) Set to true to request + // classification for a video at one-second intervals. AutoML Video + // Intelligence returns labels and their confidence scores for each + // second of the entire segment of the video that user specified in the + // request configuration. + // WARNING: Model evaluation is not done for this classification + // type, the quality of it depends on training data, but there are no + // metrics provided to describe that quality. The default is + // "false". + // + // * For Tables: + // + // feature_importance - (boolean) Whether feature importance + // should be populated in the returned TablesAnnotations. The + // default is false. + // + // * For Video Object Tracking: + // + // `score_threshold` - (float) When Model detects objects on video frames, + // it will only produce bounding boxes which have at least this + // confidence score. Value in 0 to 1 range, default is 0.5. + // `max_bounding_box_count` - (int64) No more than this number of bounding + // boxes will be returned per frame. Default is 100, the requested + // value may be limited by server. + // `min_bounding_box_size` - (float) Only bounding boxes with shortest edge + // at least that long as a relative value of video frame size will be + // returned. Value in 0 to 1 range. Default is 0. + map params = 5 [(google.api.field_behavior) = REQUIRED]; +} + +// Result of the Batch Predict. This message is returned in +// [response][google.longrunning.Operation.response] of the operation returned +// by the [PredictionService.BatchPredict][google.cloud.automl.v1beta1.PredictionService.BatchPredict]. +message BatchPredictResult { + // Additional domain-specific prediction response metadata. + // + // * For Image Object Detection: + // `max_bounding_box_count` - (int64) At most that many bounding boxes per + // image could have been returned. + // + // * For Video Object Tracking: + // `max_bounding_box_count` - (int64) At most that many bounding boxes per + // frame could have been returned. + map metadata = 1; +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/ranges.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/ranges.proto new file mode 100644 index 000000000..89572bb05 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/ranges.proto @@ -0,0 +1,35 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_outer_classname = "RangesProto"; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// A range between two double numbers. +message DoubleRange { + // Start of the range, inclusive. + double start = 1; + + // End of the range, exclusive. + double end = 2; +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/regression.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/regression.proto new file mode 100644 index 000000000..1286d3d80 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/regression.proto @@ -0,0 +1,44 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_outer_classname = "RegressionProto"; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// Metrics for regression problems. +message RegressionEvaluationMetrics { + // Output only. Root Mean Squared Error (RMSE). + float root_mean_squared_error = 1; + + // Output only. Mean Absolute Error (MAE). + float mean_absolute_error = 2; + + // Output only. Mean absolute percentage error. Only set if all ground truth + // values are are positive. + float mean_absolute_percentage_error = 3; + + // Output only. R squared. + float r_squared = 4; + + // Output only. Root mean squared log error. + float root_mean_squared_log_error = 5; +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/service.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/service.proto new file mode 100644 index 000000000..a421ece14 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/service.proto @@ -0,0 +1,800 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/annotations.proto"; +import "google/api/client.proto"; +import "google/api/field_behavior.proto"; +import "google/api/resource.proto"; +import "google/cloud/automl/v1beta1/annotation_payload.proto"; +import "google/cloud/automl/v1beta1/annotation_spec.proto"; +import "google/cloud/automl/v1beta1/column_spec.proto"; +import "google/cloud/automl/v1beta1/dataset.proto"; +import "google/cloud/automl/v1beta1/image.proto"; +import "google/cloud/automl/v1beta1/io.proto"; +import "google/cloud/automl/v1beta1/model.proto"; +import "google/cloud/automl/v1beta1/model_evaluation.proto"; +import "google/cloud/automl/v1beta1/operations.proto"; +import "google/cloud/automl/v1beta1/table_spec.proto"; +import "google/longrunning/operations.proto"; +import "google/protobuf/field_mask.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_outer_classname = "AutoMlProto"; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// AutoML Server API. +// +// The resource names are assigned by the server. +// The server never reuses names that it has created after the resources with +// those names are deleted. +// +// An ID of a resource is the last element of the item's resource name. For +// `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`, then +// the id for the item is `{dataset_id}`. +// +// Currently the only supported `location_id` is "us-central1". +// +// On any input that is documented to expect a string parameter in +// snake_case or kebab-case, either of those cases is accepted. +service AutoMl { + option (google.api.default_host) = "automl.googleapis.com"; + option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform"; + + // Creates a dataset. + rpc CreateDataset(CreateDatasetRequest) returns (Dataset) { + option (google.api.http) = { + post: "/v1beta1/{parent=projects/*/locations/*}/datasets" + body: "dataset" + }; + option (google.api.method_signature) = "parent,dataset"; + } + + // Gets a dataset. + rpc GetDataset(GetDatasetRequest) returns (Dataset) { + option (google.api.http) = { + get: "/v1beta1/{name=projects/*/locations/*/datasets/*}" + }; + option (google.api.method_signature) = "name"; + } + + // Lists datasets in a project. + rpc ListDatasets(ListDatasetsRequest) returns (ListDatasetsResponse) { + option (google.api.http) = { + get: "/v1beta1/{parent=projects/*/locations/*}/datasets" + }; + option (google.api.method_signature) = "parent"; + } + + // Updates a dataset. + rpc UpdateDataset(UpdateDatasetRequest) returns (Dataset) { + option (google.api.http) = { + patch: "/v1beta1/{dataset.name=projects/*/locations/*/datasets/*}" + body: "dataset" + }; + option (google.api.method_signature) = "dataset"; + } + + // Deletes a dataset and all of its contents. + // Returns empty response in the + // [response][google.longrunning.Operation.response] field when it completes, + // and `delete_details` in the + // [metadata][google.longrunning.Operation.metadata] field. + rpc DeleteDataset(DeleteDatasetRequest) returns (google.longrunning.Operation) { + option (google.api.http) = { + delete: "/v1beta1/{name=projects/*/locations/*/datasets/*}" + }; + option (google.api.method_signature) = "name"; + option (google.longrunning.operation_info) = { + response_type: "google.protobuf.Empty" + metadata_type: "OperationMetadata" + }; + } + + // Imports data into a dataset. + // For Tables this method can only be called on an empty Dataset. + // + // For Tables: + // * A + // [schema_inference_version][google.cloud.automl.v1beta1.InputConfig.params] + // parameter must be explicitly set. + // Returns an empty response in the + // [response][google.longrunning.Operation.response] field when it completes. + rpc ImportData(ImportDataRequest) returns (google.longrunning.Operation) { + option (google.api.http) = { + post: "/v1beta1/{name=projects/*/locations/*/datasets/*}:importData" + body: "*" + }; + option (google.api.method_signature) = "name,input_config"; + option (google.longrunning.operation_info) = { + response_type: "google.protobuf.Empty" + metadata_type: "OperationMetadata" + }; + } + + // Exports dataset's data to the provided output location. + // Returns an empty response in the + // [response][google.longrunning.Operation.response] field when it completes. + rpc ExportData(ExportDataRequest) returns (google.longrunning.Operation) { + option (google.api.http) = { + post: "/v1beta1/{name=projects/*/locations/*/datasets/*}:exportData" + body: "*" + }; + option (google.api.method_signature) = "name,output_config"; + option (google.longrunning.operation_info) = { + response_type: "google.protobuf.Empty" + metadata_type: "OperationMetadata" + }; + } + + // Gets an annotation spec. + rpc GetAnnotationSpec(GetAnnotationSpecRequest) returns (AnnotationSpec) { + option (google.api.http) = { + get: "/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}" + }; + option (google.api.method_signature) = "name"; + } + + // Gets a table spec. + rpc GetTableSpec(GetTableSpecRequest) returns (TableSpec) { + option (google.api.http) = { + get: "/v1beta1/{name=projects/*/locations/*/datasets/*/tableSpecs/*}" + }; + option (google.api.method_signature) = "name"; + } + + // Lists table specs in a dataset. + rpc ListTableSpecs(ListTableSpecsRequest) returns (ListTableSpecsResponse) { + option (google.api.http) = { + get: "/v1beta1/{parent=projects/*/locations/*/datasets/*}/tableSpecs" + }; + option (google.api.method_signature) = "parent"; + } + + // Updates a table spec. + rpc UpdateTableSpec(UpdateTableSpecRequest) returns (TableSpec) { + option (google.api.http) = { + patch: "/v1beta1/{table_spec.name=projects/*/locations/*/datasets/*/tableSpecs/*}" + body: "table_spec" + }; + option (google.api.method_signature) = "table_spec"; + } + + // Gets a column spec. + rpc GetColumnSpec(GetColumnSpecRequest) returns (ColumnSpec) { + option (google.api.http) = { + get: "/v1beta1/{name=projects/*/locations/*/datasets/*/tableSpecs/*/columnSpecs/*}" + }; + option (google.api.method_signature) = "name"; + } + + // Lists column specs in a table spec. + rpc ListColumnSpecs(ListColumnSpecsRequest) returns (ListColumnSpecsResponse) { + option (google.api.http) = { + get: "/v1beta1/{parent=projects/*/locations/*/datasets/*/tableSpecs/*}/columnSpecs" + }; + option (google.api.method_signature) = "parent"; + } + + // Updates a column spec. + rpc UpdateColumnSpec(UpdateColumnSpecRequest) returns (ColumnSpec) { + option (google.api.http) = { + patch: "/v1beta1/{column_spec.name=projects/*/locations/*/datasets/*/tableSpecs/*/columnSpecs/*}" + body: "column_spec" + }; + option (google.api.method_signature) = "column_spec"; + } + + // Creates a model. + // Returns a Model in the [response][google.longrunning.Operation.response] + // field when it completes. + // When you create a model, several model evaluations are created for it: + // a global evaluation, and one evaluation for each annotation spec. + rpc CreateModel(CreateModelRequest) returns (google.longrunning.Operation) { + option (google.api.http) = { + post: "/v1beta1/{parent=projects/*/locations/*}/models" + body: "model" + }; + option (google.api.method_signature) = "parent,model"; + option (google.longrunning.operation_info) = { + response_type: "Model" + metadata_type: "OperationMetadata" + }; + } + + // Gets a model. + rpc GetModel(GetModelRequest) returns (Model) { + option (google.api.http) = { + get: "/v1beta1/{name=projects/*/locations/*/models/*}" + }; + option (google.api.method_signature) = "name"; + } + + // Lists models. + rpc ListModels(ListModelsRequest) returns (ListModelsResponse) { + option (google.api.http) = { + get: "/v1beta1/{parent=projects/*/locations/*}/models" + }; + option (google.api.method_signature) = "parent"; + } + + // Deletes a model. + // Returns `google.protobuf.Empty` in the + // [response][google.longrunning.Operation.response] field when it completes, + // and `delete_details` in the + // [metadata][google.longrunning.Operation.metadata] field. + rpc DeleteModel(DeleteModelRequest) returns (google.longrunning.Operation) { + option (google.api.http) = { + delete: "/v1beta1/{name=projects/*/locations/*/models/*}" + }; + option (google.api.method_signature) = "name"; + option (google.longrunning.operation_info) = { + response_type: "google.protobuf.Empty" + metadata_type: "OperationMetadata" + }; + } + + // Deploys a model. If a model is already deployed, deploying it with the + // same parameters has no effect. Deploying with different parametrs + // (as e.g. changing + // + // [node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number]) + // will reset the deployment state without pausing the model's availability. + // + // Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage + // deployment automatically. + // + // Returns an empty response in the + // [response][google.longrunning.Operation.response] field when it completes. + rpc DeployModel(DeployModelRequest) returns (google.longrunning.Operation) { + option (google.api.http) = { + post: "/v1beta1/{name=projects/*/locations/*/models/*}:deploy" + body: "*" + }; + option (google.api.method_signature) = "name"; + option (google.longrunning.operation_info) = { + response_type: "google.protobuf.Empty" + metadata_type: "OperationMetadata" + }; + } + + // Undeploys a model. If the model is not deployed this method has no effect. + // + // Only applicable for Text Classification, Image Object Detection and Tables; + // all other domains manage deployment automatically. + // + // Returns an empty response in the + // [response][google.longrunning.Operation.response] field when it completes. + rpc UndeployModel(UndeployModelRequest) returns (google.longrunning.Operation) { + option (google.api.http) = { + post: "/v1beta1/{name=projects/*/locations/*/models/*}:undeploy" + body: "*" + }; + option (google.api.method_signature) = "name"; + option (google.longrunning.operation_info) = { + response_type: "google.protobuf.Empty" + metadata_type: "OperationMetadata" + }; + } + + // Exports a trained, "export-able", model to a user specified Google Cloud + // Storage location. A model is considered export-able if and only if it has + // an export format defined for it in + // + // [ModelExportOutputConfig][google.cloud.automl.v1beta1.ModelExportOutputConfig]. + // + // Returns an empty response in the + // [response][google.longrunning.Operation.response] field when it completes. + rpc ExportModel(ExportModelRequest) returns (google.longrunning.Operation) { + option (google.api.http) = { + post: "/v1beta1/{name=projects/*/locations/*/models/*}:export" + body: "*" + }; + option (google.api.method_signature) = "name,output_config"; + option (google.longrunning.operation_info) = { + response_type: "google.protobuf.Empty" + metadata_type: "OperationMetadata" + }; + } + + // Exports examples on which the model was evaluated (i.e. which were in the + // TEST set of the dataset the model was created from), together with their + // ground truth annotations and the annotations created (predicted) by the + // model. + // The examples, ground truth and predictions are exported in the state + // they were at the moment the model was evaluated. + // + // This export is available only for 30 days since the model evaluation is + // created. + // + // Currently only available for Tables. + // + // Returns an empty response in the + // [response][google.longrunning.Operation.response] field when it completes. + rpc ExportEvaluatedExamples(ExportEvaluatedExamplesRequest) returns (google.longrunning.Operation) { + option (google.api.http) = { + post: "/v1beta1/{name=projects/*/locations/*/models/*}:exportEvaluatedExamples" + body: "*" + }; + option (google.api.method_signature) = "name,output_config"; + option (google.longrunning.operation_info) = { + response_type: "google.protobuf.Empty" + metadata_type: "OperationMetadata" + }; + } + + // Gets a model evaluation. + rpc GetModelEvaluation(GetModelEvaluationRequest) returns (ModelEvaluation) { + option (google.api.http) = { + get: "/v1beta1/{name=projects/*/locations/*/models/*/modelEvaluations/*}" + }; + option (google.api.method_signature) = "name"; + } + + // Lists model evaluations. + rpc ListModelEvaluations(ListModelEvaluationsRequest) returns (ListModelEvaluationsResponse) { + option (google.api.http) = { + get: "/v1beta1/{parent=projects/*/locations/*/models/*}/modelEvaluations" + }; + option (google.api.method_signature) = "parent"; + } +} + +// Request message for [AutoMl.CreateDataset][google.cloud.automl.v1beta1.AutoMl.CreateDataset]. +message CreateDatasetRequest { + // Required. The resource name of the project to create the dataset for. + string parent = 1 [ + (google.api.field_behavior) = REQUIRED, + (google.api.resource_reference) = { + type: "locations.googleapis.com/Location" + } + ]; + + // Required. The dataset to create. + Dataset dataset = 2 [(google.api.field_behavior) = REQUIRED]; +} + +// Request message for [AutoMl.GetDataset][google.cloud.automl.v1beta1.AutoMl.GetDataset]. +message GetDatasetRequest { + // Required. The resource name of the dataset to retrieve. + string name = 1 [ + (google.api.field_behavior) = REQUIRED, + (google.api.resource_reference) = { + type: "automl.googleapis.com/Dataset" + } + ]; +} + +// Request message for [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets]. +message ListDatasetsRequest { + // Required. The resource name of the project from which to list datasets. + string parent = 1 [ + (google.api.field_behavior) = REQUIRED, + (google.api.resource_reference) = { + type: "locations.googleapis.com/Location" + } + ]; + + // An expression for filtering the results of the request. + // + // * `dataset_metadata` - for existence of the case (e.g. + // image_classification_dataset_metadata:*). Some examples of using the filter are: + // + // * `translation_dataset_metadata:*` --> The dataset has + // translation_dataset_metadata. + string filter = 3; + + // Requested page size. Server may return fewer results than requested. + // If unspecified, server will pick a default size. + int32 page_size = 4; + + // A token identifying a page of results for the server to return + // Typically obtained via + // [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token] of the previous + // [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets] call. + string page_token = 6; +} + +// Response message for [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets]. +message ListDatasetsResponse { + // The datasets read. + repeated Dataset datasets = 1; + + // A token to retrieve next page of results. + // Pass to [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token] to obtain that page. + string next_page_token = 2; +} + +// Request message for [AutoMl.UpdateDataset][google.cloud.automl.v1beta1.AutoMl.UpdateDataset] +message UpdateDatasetRequest { + // Required. The dataset which replaces the resource on the server. + Dataset dataset = 1 [(google.api.field_behavior) = REQUIRED]; + + // The update mask applies to the resource. + google.protobuf.FieldMask update_mask = 2; +} + +// Request message for [AutoMl.DeleteDataset][google.cloud.automl.v1beta1.AutoMl.DeleteDataset]. +message DeleteDatasetRequest { + // Required. The resource name of the dataset to delete. + string name = 1 [ + (google.api.field_behavior) = REQUIRED, + (google.api.resource_reference) = { + type: "automl.googleapis.com/Dataset" + } + ]; +} + +// Request message for [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData]. +message ImportDataRequest { + // Required. Dataset name. Dataset must already exist. All imported + // annotations and examples will be added. + string name = 1 [ + (google.api.field_behavior) = REQUIRED, + (google.api.resource_reference) = { + type: "automl.googleapis.com/Dataset" + } + ]; + + // Required. The desired input location and its domain specific semantics, + // if any. + InputConfig input_config = 3 [(google.api.field_behavior) = REQUIRED]; +} + +// Request message for [AutoMl.ExportData][google.cloud.automl.v1beta1.AutoMl.ExportData]. +message ExportDataRequest { + // Required. The resource name of the dataset. + string name = 1 [ + (google.api.field_behavior) = REQUIRED, + (google.api.resource_reference) = { + type: "automl.googleapis.com/Dataset" + } + ]; + + // Required. The desired output location. + OutputConfig output_config = 3 [(google.api.field_behavior) = REQUIRED]; +} + +// Request message for [AutoMl.GetAnnotationSpec][google.cloud.automl.v1beta1.AutoMl.GetAnnotationSpec]. +message GetAnnotationSpecRequest { + // Required. The resource name of the annotation spec to retrieve. + string name = 1 [ + (google.api.field_behavior) = REQUIRED, + (google.api.resource_reference) = { + type: "automl.googleapis.com/AnnotationSpec" + } + ]; +} + +// Request message for [AutoMl.GetTableSpec][google.cloud.automl.v1beta1.AutoMl.GetTableSpec]. +message GetTableSpecRequest { + // Required. The resource name of the table spec to retrieve. + string name = 1 [ + (google.api.field_behavior) = REQUIRED, + (google.api.resource_reference) = { + type: "automl.googleapis.com/TableSpec" + } + ]; + + // Mask specifying which fields to read. + google.protobuf.FieldMask field_mask = 2; +} + +// Request message for [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs]. +message ListTableSpecsRequest { + // Required. The resource name of the dataset to list table specs from. + string parent = 1 [ + (google.api.field_behavior) = REQUIRED, + (google.api.resource_reference) = { + type: "automl.googleapis.com/Dataset" + } + ]; + + // Mask specifying which fields to read. + google.protobuf.FieldMask field_mask = 2; + + // Filter expression, see go/filtering. + string filter = 3; + + // Requested page size. The server can return fewer results than requested. + // If unspecified, the server will pick a default size. + int32 page_size = 4; + + // A token identifying a page of results for the server to return. + // Typically obtained from the + // [ListTableSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListTableSpecsResponse.next_page_token] field of the previous + // [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs] call. + string page_token = 6; +} + +// Response message for [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs]. +message ListTableSpecsResponse { + // The table specs read. + repeated TableSpec table_specs = 1; + + // A token to retrieve next page of results. + // Pass to [ListTableSpecsRequest.page_token][google.cloud.automl.v1beta1.ListTableSpecsRequest.page_token] to obtain that page. + string next_page_token = 2; +} + +// Request message for [AutoMl.UpdateTableSpec][google.cloud.automl.v1beta1.AutoMl.UpdateTableSpec] +message UpdateTableSpecRequest { + // Required. The table spec which replaces the resource on the server. + TableSpec table_spec = 1 [(google.api.field_behavior) = REQUIRED]; + + // The update mask applies to the resource. + google.protobuf.FieldMask update_mask = 2; +} + +// Request message for [AutoMl.GetColumnSpec][google.cloud.automl.v1beta1.AutoMl.GetColumnSpec]. +message GetColumnSpecRequest { + // Required. The resource name of the column spec to retrieve. + string name = 1 [ + (google.api.field_behavior) = REQUIRED, + (google.api.resource_reference) = { + type: "automl.googleapis.com/ColumnSpec" + } + ]; + + // Mask specifying which fields to read. + google.protobuf.FieldMask field_mask = 2; +} + +// Request message for [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs]. +message ListColumnSpecsRequest { + // Required. The resource name of the table spec to list column specs from. + string parent = 1 [ + (google.api.field_behavior) = REQUIRED, + (google.api.resource_reference) = { + type: "automl.googleapis.com/TableSpec" + } + ]; + + // Mask specifying which fields to read. + google.protobuf.FieldMask field_mask = 2; + + // Filter expression, see go/filtering. + string filter = 3; + + // Requested page size. The server can return fewer results than requested. + // If unspecified, the server will pick a default size. + int32 page_size = 4; + + // A token identifying a page of results for the server to return. + // Typically obtained from the + // [ListColumnSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListColumnSpecsResponse.next_page_token] field of the previous + // [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs] call. + string page_token = 6; +} + +// Response message for [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs]. +message ListColumnSpecsResponse { + // The column specs read. + repeated ColumnSpec column_specs = 1; + + // A token to retrieve next page of results. + // Pass to [ListColumnSpecsRequest.page_token][google.cloud.automl.v1beta1.ListColumnSpecsRequest.page_token] to obtain that page. + string next_page_token = 2; +} + +// Request message for [AutoMl.UpdateColumnSpec][google.cloud.automl.v1beta1.AutoMl.UpdateColumnSpec] +message UpdateColumnSpecRequest { + // Required. The column spec which replaces the resource on the server. + ColumnSpec column_spec = 1 [(google.api.field_behavior) = REQUIRED]; + + // The update mask applies to the resource. + google.protobuf.FieldMask update_mask = 2; +} + +// Request message for [AutoMl.CreateModel][google.cloud.automl.v1beta1.AutoMl.CreateModel]. +message CreateModelRequest { + // Required. Resource name of the parent project where the model is being created. + string parent = 1 [ + (google.api.field_behavior) = REQUIRED, + (google.api.resource_reference) = { + type: "locations.googleapis.com/Location" + } + ]; + + // Required. The model to create. + Model model = 4 [(google.api.field_behavior) = REQUIRED]; +} + +// Request message for [AutoMl.GetModel][google.cloud.automl.v1beta1.AutoMl.GetModel]. +message GetModelRequest { + // Required. Resource name of the model. + string name = 1 [ + (google.api.field_behavior) = REQUIRED, + (google.api.resource_reference) = { + type: "automl.googleapis.com/Model" + } + ]; +} + +// Request message for [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels]. +message ListModelsRequest { + // Required. Resource name of the project, from which to list the models. + string parent = 1 [ + (google.api.field_behavior) = REQUIRED, + (google.api.resource_reference) = { + type: "locations.googleapis.com/Location" + } + ]; + + // An expression for filtering the results of the request. + // + // * `model_metadata` - for existence of the case (e.g. + // video_classification_model_metadata:*). + // * `dataset_id` - for = or !=. Some examples of using the filter are: + // + // * `image_classification_model_metadata:*` --> The model has + // image_classification_model_metadata. + // * `dataset_id=5` --> The model was created from a dataset with ID 5. + string filter = 3; + + // Requested page size. + int32 page_size = 4; + + // A token identifying a page of results for the server to return + // Typically obtained via + // [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token] of the previous + // [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels] call. + string page_token = 6; +} + +// Response message for [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels]. +message ListModelsResponse { + // List of models in the requested page. + repeated Model model = 1; + + // A token to retrieve next page of results. + // Pass to [ListModelsRequest.page_token][google.cloud.automl.v1beta1.ListModelsRequest.page_token] to obtain that page. + string next_page_token = 2; +} + +// Request message for [AutoMl.DeleteModel][google.cloud.automl.v1beta1.AutoMl.DeleteModel]. +message DeleteModelRequest { + // Required. Resource name of the model being deleted. + string name = 1 [ + (google.api.field_behavior) = REQUIRED, + (google.api.resource_reference) = { + type: "automl.googleapis.com/Model" + } + ]; +} + +// Request message for [AutoMl.DeployModel][google.cloud.automl.v1beta1.AutoMl.DeployModel]. +message DeployModelRequest { + // The per-domain specific deployment parameters. + oneof model_deployment_metadata { + // Model deployment metadata specific to Image Object Detection. + ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2; + + // Model deployment metadata specific to Image Classification. + ImageClassificationModelDeploymentMetadata image_classification_model_deployment_metadata = 4; + } + + // Required. Resource name of the model to deploy. + string name = 1 [ + (google.api.field_behavior) = REQUIRED, + (google.api.resource_reference) = { + type: "automl.googleapis.com/Model" + } + ]; +} + +// Request message for [AutoMl.UndeployModel][google.cloud.automl.v1beta1.AutoMl.UndeployModel]. +message UndeployModelRequest { + // Required. Resource name of the model to undeploy. + string name = 1 [ + (google.api.field_behavior) = REQUIRED, + (google.api.resource_reference) = { + type: "automl.googleapis.com/Model" + } + ]; +} + +// Request message for [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]. +// Models need to be enabled for exporting, otherwise an error code will be +// returned. +message ExportModelRequest { + // Required. The resource name of the model to export. + string name = 1 [ + (google.api.field_behavior) = REQUIRED, + (google.api.resource_reference) = { + type: "automl.googleapis.com/Model" + } + ]; + + // Required. The desired output location and configuration. + ModelExportOutputConfig output_config = 3 [(google.api.field_behavior) = REQUIRED]; +} + +// Request message for [AutoMl.ExportEvaluatedExamples][google.cloud.automl.v1beta1.AutoMl.ExportEvaluatedExamples]. +message ExportEvaluatedExamplesRequest { + // Required. The resource name of the model whose evaluated examples are to + // be exported. + string name = 1 [ + (google.api.field_behavior) = REQUIRED, + (google.api.resource_reference) = { + type: "automl.googleapis.com/Model" + } + ]; + + // Required. The desired output location and configuration. + ExportEvaluatedExamplesOutputConfig output_config = 3 [(google.api.field_behavior) = REQUIRED]; +} + +// Request message for [AutoMl.GetModelEvaluation][google.cloud.automl.v1beta1.AutoMl.GetModelEvaluation]. +message GetModelEvaluationRequest { + // Required. Resource name for the model evaluation. + string name = 1 [ + (google.api.field_behavior) = REQUIRED, + (google.api.resource_reference) = { + type: "automl.googleapis.com/ModelEvaluation" + } + ]; +} + +// Request message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations]. +message ListModelEvaluationsRequest { + // Required. Resource name of the model to list the model evaluations for. + // If modelId is set as "-", this will list model evaluations from across all + // models of the parent location. + string parent = 1 [ + (google.api.field_behavior) = REQUIRED, + (google.api.resource_reference) = { + type: "automl.googleapis.com/Model" + } + ]; + + // An expression for filtering the results of the request. + // + // * `annotation_spec_id` - for =, != or existence. See example below for + // the last. + // + // Some examples of using the filter are: + // + // * `annotation_spec_id!=4` --> The model evaluation was done for + // annotation spec with ID different than 4. + // * `NOT annotation_spec_id:*` --> The model evaluation was done for + // aggregate of all annotation specs. + string filter = 3; + + // Requested page size. + int32 page_size = 4; + + // A token identifying a page of results for the server to return. + // Typically obtained via + // [ListModelEvaluationsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous + // [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] call. + string page_token = 6; +} + +// Response message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations]. +message ListModelEvaluationsResponse { + // List of model evaluations in the requested page. + repeated ModelEvaluation model_evaluation = 1; + + // A token to retrieve next page of results. + // Pass to the [ListModelEvaluationsRequest.page_token][google.cloud.automl.v1beta1.ListModelEvaluationsRequest.page_token] field of a new + // [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] request to obtain that page. + string next_page_token = 2; +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/table_spec.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/table_spec.proto new file mode 100644 index 000000000..bc3fc7440 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/table_spec.proto @@ -0,0 +1,78 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/resource.proto"; +import "google/cloud/automl/v1beta1/io.proto"; +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// A specification of a relational table. +// The table's schema is represented via its child column specs. It is +// pre-populated as part of ImportData by schema inference algorithm, the +// version of which is a required parameter of ImportData InputConfig. +// Note: While working with a table, at times the schema may be +// inconsistent with the data in the table (e.g. string in a FLOAT64 column). +// The consistency validation is done upon creation of a model. +// Used by: +// * Tables +message TableSpec { + option (google.api.resource) = { + type: "automl.googleapis.com/TableSpec" + pattern: "projects/{project}/locations/{location}/datasets/{dataset}/tableSpecs/{table_spec}" + }; + + // Output only. The resource name of the table spec. + // Form: + // + // `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}` + string name = 1; + + // column_spec_id of the time column. Only used if the parent dataset's + // ml_use_column_spec_id is not set. Used to split rows into TRAIN, VALIDATE + // and TEST sets such that oldest rows go to TRAIN set, newest to TEST, and + // those in between to VALIDATE. + // Required type: TIMESTAMP. + // If both this column and ml_use_column are not set, then ML use of all rows + // will be assigned by AutoML. NOTE: Updates of this field will instantly + // affect any other users concurrently working with the dataset. + string time_column_spec_id = 2; + + // Output only. The number of rows (i.e. examples) in the table. + int64 row_count = 3; + + // Output only. The number of valid rows (i.e. without values that don't match + // DataType-s of their columns). + int64 valid_row_count = 4; + + // Output only. The number of columns of the table. That is, the number of + // child ColumnSpec-s. + int64 column_count = 7; + + // Output only. Input configs via which data currently residing in the table + // had been imported. + repeated InputConfig input_configs = 5; + + // Used to perform consistent read-modify-write updates. If not set, a blind + // "overwrite" update happens. + string etag = 6; +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/tables.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/tables.proto new file mode 100644 index 000000000..5327f5e78 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/tables.proto @@ -0,0 +1,292 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/cloud/automl/v1beta1/classification.proto"; +import "google/cloud/automl/v1beta1/column_spec.proto"; +import "google/cloud/automl/v1beta1/data_items.proto"; +import "google/cloud/automl/v1beta1/data_stats.proto"; +import "google/cloud/automl/v1beta1/ranges.proto"; +import "google/cloud/automl/v1beta1/regression.proto"; +import "google/cloud/automl/v1beta1/temporal.proto"; +import "google/protobuf/struct.proto"; +import "google/protobuf/timestamp.proto"; +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// Metadata for a dataset used for AutoML Tables. +message TablesDatasetMetadata { + // Output only. The table_spec_id of the primary table of this dataset. + string primary_table_spec_id = 1; + + // column_spec_id of the primary table's column that should be used as the + // training & prediction target. + // This column must be non-nullable and have one of following data types + // (otherwise model creation will error): + // + // * CATEGORY + // + // * FLOAT64 + // + // If the type is CATEGORY , only up to + // 100 unique values may exist in that column across all rows. + // + // NOTE: Updates of this field will instantly affect any other users + // concurrently working with the dataset. + string target_column_spec_id = 2; + + // column_spec_id of the primary table's column that should be used as the + // weight column, i.e. the higher the value the more important the row will be + // during model training. + // Required type: FLOAT64. + // Allowed values: 0 to 10000, inclusive on both ends; 0 means the row is + // ignored for training. + // If not set all rows are assumed to have equal weight of 1. + // NOTE: Updates of this field will instantly affect any other users + // concurrently working with the dataset. + string weight_column_spec_id = 3; + + // column_spec_id of the primary table column which specifies a possible ML + // use of the row, i.e. the column will be used to split the rows into TRAIN, + // VALIDATE and TEST sets. + // Required type: STRING. + // This column, if set, must either have all of `TRAIN`, `VALIDATE`, `TEST` + // among its values, or only have `TEST`, `UNASSIGNED` values. In the latter + // case the rows with `UNASSIGNED` value will be assigned by AutoML. Note + // that if a given ml use distribution makes it impossible to create a "good" + // model, that call will error describing the issue. + // If both this column_spec_id and primary table's time_column_spec_id are not + // set, then all rows are treated as `UNASSIGNED`. + // NOTE: Updates of this field will instantly affect any other users + // concurrently working with the dataset. + string ml_use_column_spec_id = 4; + + // Output only. Correlations between + // + // [TablesDatasetMetadata.target_column_spec_id][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column_spec_id], + // and other columns of the + // + // [TablesDatasetMetadataprimary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id]. + // Only set if the target column is set. Mapping from other column spec id to + // its CorrelationStats with the target column. + // This field may be stale, see the stats_update_time field for + // for the timestamp at which these stats were last updated. + map target_column_correlations = 6; + + // Output only. The most recent timestamp when target_column_correlations + // field and all descendant ColumnSpec.data_stats and + // ColumnSpec.top_correlated_columns fields were last (re-)generated. Any + // changes that happened to the dataset afterwards are not reflected in these + // fields values. The regeneration happens in the background on a best effort + // basis. + google.protobuf.Timestamp stats_update_time = 7; +} + +// Model metadata specific to AutoML Tables. +message TablesModelMetadata { + // Additional optimization objective configuration. Required for + // `MAXIMIZE_PRECISION_AT_RECALL` and `MAXIMIZE_RECALL_AT_PRECISION`, + // otherwise unused. + oneof additional_optimization_objective_config { + // Required when optimization_objective is "MAXIMIZE_PRECISION_AT_RECALL". + // Must be between 0 and 1, inclusive. + float optimization_objective_recall_value = 17; + + // Required when optimization_objective is "MAXIMIZE_RECALL_AT_PRECISION". + // Must be between 0 and 1, inclusive. + float optimization_objective_precision_value = 18; + } + + // Column spec of the dataset's primary table's column the model is + // predicting. Snapshotted when model creation started. + // Only 3 fields are used: + // name - May be set on CreateModel, if it's not then the ColumnSpec + // corresponding to the current target_column_spec_id of the dataset + // the model is trained from is used. + // If neither is set, CreateModel will error. + // display_name - Output only. + // data_type - Output only. + ColumnSpec target_column_spec = 2; + + // Column specs of the dataset's primary table's columns, on which + // the model is trained and which are used as the input for predictions. + // The + // + // [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec] + // as well as, according to dataset's state upon model creation, + // + // [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id], + // and + // + // [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id] + // must never be included here. + // + // Only 3 fields are used: + // + // * name - May be set on CreateModel, if set only the columns specified are + // used, otherwise all primary table's columns (except the ones listed + // above) are used for the training and prediction input. + // + // * display_name - Output only. + // + // * data_type - Output only. + repeated ColumnSpec input_feature_column_specs = 3; + + // Objective function the model is optimizing towards. The training process + // creates a model that maximizes/minimizes the value of the objective + // function over the validation set. + // + // The supported optimization objectives depend on the prediction type. + // If the field is not set, a default objective function is used. + // + // CLASSIFICATION_BINARY: + // "MAXIMIZE_AU_ROC" (default) - Maximize the area under the receiver + // operating characteristic (ROC) curve. + // "MINIMIZE_LOG_LOSS" - Minimize log loss. + // "MAXIMIZE_AU_PRC" - Maximize the area under the precision-recall curve. + // "MAXIMIZE_PRECISION_AT_RECALL" - Maximize precision for a specified + // recall value. + // "MAXIMIZE_RECALL_AT_PRECISION" - Maximize recall for a specified + // precision value. + // + // CLASSIFICATION_MULTI_CLASS : + // "MINIMIZE_LOG_LOSS" (default) - Minimize log loss. + // + // + // REGRESSION: + // "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE). + // "MINIMIZE_MAE" - Minimize mean-absolute error (MAE). + // "MINIMIZE_RMSLE" - Minimize root-mean-squared log error (RMSLE). + string optimization_objective = 4; + + // Output only. Auxiliary information for each of the + // input_feature_column_specs with respect to this particular model. + repeated TablesModelColumnInfo tables_model_column_info = 5; + + // Required. The train budget of creating this model, expressed in milli node + // hours i.e. 1,000 value in this field means 1 node hour. + // + // The training cost of the model will not exceed this budget. The final cost + // will be attempted to be close to the budget, though may end up being (even) + // noticeably smaller - at the backend's discretion. This especially may + // happen when further model training ceases to provide any improvements. + // + // If the budget is set to a value known to be insufficient to train a + // model for the given dataset, the training won't be attempted and + // will error. + // + // The train budget must be between 1,000 and 72,000 milli node hours, + // inclusive. + int64 train_budget_milli_node_hours = 6; + + // Output only. The actual training cost of the model, expressed in milli + // node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed + // to not exceed the train budget. + int64 train_cost_milli_node_hours = 7; + + // Use the entire training budget. This disables the early stopping feature. + // By default, the early stopping feature is enabled, which means that AutoML + // Tables might stop training before the entire training budget has been used. + bool disable_early_stopping = 12; +} + +// Contains annotation details specific to Tables. +message TablesAnnotation { + // Output only. A confidence estimate between 0.0 and 1.0, inclusive. A higher + // value means greater confidence in the returned value. + // For + // + // [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec] + // of FLOAT64 data type the score is not populated. + float score = 1; + + // Output only. Only populated when + // + // [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec] + // has FLOAT64 data type. An interval in which the exactly correct target + // value has 95% chance to be in. + DoubleRange prediction_interval = 4; + + // The predicted value of the row's + // + // [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]. + // The value depends on the column's DataType: + // + // * CATEGORY - the predicted (with the above confidence `score`) CATEGORY + // value. + // + // * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value. + google.protobuf.Value value = 2; + + // Output only. Auxiliary information for each of the model's + // + // [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs] + // with respect to this particular prediction. + // If no other fields than + // + // [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name] + // and + // + // [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name] + // would be populated, then this whole field is not. + repeated TablesModelColumnInfo tables_model_column_info = 3; + + // Output only. Stores the prediction score for the baseline example, which + // is defined as the example with all values set to their baseline values. + // This is used as part of the Sampled Shapley explanation of the model's + // prediction. This field is populated only when feature importance is + // requested. For regression models, this holds the baseline prediction for + // the baseline example. For classification models, this holds the baseline + // prediction for the baseline example for the argmax class. + float baseline_score = 5; +} + +// An information specific to given column and Tables Model, in context +// of the Model and the predictions created by it. +message TablesModelColumnInfo { + // Output only. The name of the ColumnSpec describing the column. Not + // populated when this proto is outputted to BigQuery. + string column_spec_name = 1; + + // Output only. The display name of the column (same as the display_name of + // its ColumnSpec). + string column_display_name = 2; + + // Output only. When given as part of a Model (always populated): + // Measurement of how much model predictions correctness on the TEST data + // depend on values in this column. A value between 0 and 1, higher means + // higher influence. These values are normalized - for all input feature + // columns of a given model they add to 1. + // + // When given back by Predict (populated iff + // [feature_importance + // param][google.cloud.automl.v1beta1.PredictRequest.params] is set) or Batch + // Predict (populated iff + // [feature_importance][google.cloud.automl.v1beta1.PredictRequest.params] + // param is set): + // Measurement of how impactful for the prediction returned for the given row + // the value in this column was. Specifically, the feature importance + // specifies the marginal contribution that the feature made to the prediction + // score compared to the baseline score. These values are computed using the + // Sampled Shapley method. + float feature_importance = 3; +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/temporal.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/temporal.proto new file mode 100644 index 000000000..76db8887c --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/temporal.proto @@ -0,0 +1,37 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/protobuf/duration.proto"; +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// A time period inside of an example that has a time dimension (e.g. video). +message TimeSegment { + // Start of the time segment (inclusive), represented as the duration since + // the example start. + google.protobuf.Duration start_time_offset = 1; + + // End of the time segment (exclusive), represented as the duration since the + // example start. + google.protobuf.Duration end_time_offset = 2; +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text.proto new file mode 100644 index 000000000..f6f33185c --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text.proto @@ -0,0 +1,65 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/cloud/automl/v1beta1/classification.proto"; +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_outer_classname = "TextProto"; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// Dataset metadata for classification. +message TextClassificationDatasetMetadata { + // Required. Type of the classification problem. + ClassificationType classification_type = 1; +} + +// Model metadata that is specific to text classification. +message TextClassificationModelMetadata { + // Output only. Classification type of the dataset used to train this model. + ClassificationType classification_type = 3; +} + +// Dataset metadata that is specific to text extraction +message TextExtractionDatasetMetadata { + +} + +// Model metadata that is specific to text extraction. +message TextExtractionModelMetadata { + +} + +// Dataset metadata for text sentiment. +message TextSentimentDatasetMetadata { + // Required. A sentiment is expressed as an integer ordinal, where higher value + // means a more positive sentiment. The range of sentiments that will be used + // is between 0 and sentiment_max (inclusive on both ends), and all the values + // in the range must be represented in the dataset before a model can be + // created. + // sentiment_max value must be between 1 and 10 (inclusive). + int32 sentiment_max = 1; +} + +// Model metadata that is specific to text sentiment. +message TextSentimentModelMetadata { + +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text_extraction.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text_extraction.proto new file mode 100644 index 000000000..cfb0e0b37 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text_extraction.proto @@ -0,0 +1,68 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/cloud/automl/v1beta1/text_segment.proto"; +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// Annotation for identifying spans of text. +message TextExtractionAnnotation { + // Required. Text extraction annotations can either be a text segment or a + // text relation. + oneof annotation { + // An entity annotation will set this, which is the part of the original + // text to which the annotation pertains. + TextSegment text_segment = 3; + } + + // Output only. A confidence estimate between 0.0 and 1.0. A higher value + // means greater confidence in correctness of the annotation. + float score = 1; +} + +// Model evaluation metrics for text extraction problems. +message TextExtractionEvaluationMetrics { + // Metrics for a single confidence threshold. + message ConfidenceMetricsEntry { + // Output only. The confidence threshold value used to compute the metrics. + // Only annotations with score of at least this threshold are considered to + // be ones the model would return. + float confidence_threshold = 1; + + // Output only. Recall under the given confidence threshold. + float recall = 3; + + // Output only. Precision under the given confidence threshold. + float precision = 4; + + // Output only. The harmonic mean of recall and precision. + float f1_score = 5; + } + + // Output only. The Area under precision recall curve metric. + float au_prc = 1; + + // Output only. Metrics that have confidence thresholds. + // Precision-recall curve can be derived from it. + repeated ConfidenceMetricsEntry confidence_metrics_entries = 2; +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text_segment.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text_segment.proto new file mode 100644 index 000000000..94b17d930 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text_segment.proto @@ -0,0 +1,41 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_outer_classname = "TextSegmentProto"; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// A contiguous part of a text (string), assuming it has an UTF-8 NFC encoding. +message TextSegment { + // Output only. The content of the TextSegment. + string content = 3; + + // Required. Zero-based character index of the first character of the text + // segment (counting characters from the beginning of the text). + int64 start_offset = 1; + + // Required. Zero-based character index of the first character past the end of + // the text segment (counting character from the beginning of the text). + // The character at the end_offset is NOT included in the text segment. + int64 end_offset = 2; +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text_sentiment.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text_sentiment.proto new file mode 100644 index 000000000..5444c52b9 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text_sentiment.proto @@ -0,0 +1,80 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/cloud/automl/v1beta1/classification.proto"; +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_outer_classname = "TextSentimentProto"; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// Contains annotation details specific to text sentiment. +message TextSentimentAnnotation { + // Output only. The sentiment with the semantic, as given to the + // [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData] when populating the dataset from which the model used + // for the prediction had been trained. + // The sentiment values are between 0 and + // Dataset.text_sentiment_dataset_metadata.sentiment_max (inclusive), + // with higher value meaning more positive sentiment. They are completely + // relative, i.e. 0 means least positive sentiment and sentiment_max means + // the most positive from the sentiments present in the train data. Therefore + // e.g. if train data had only negative sentiment, then sentiment_max, would + // be still negative (although least negative). + // The sentiment shouldn't be confused with "score" or "magnitude" + // from the previous Natural Language Sentiment Analysis API. + int32 sentiment = 1; +} + +// Model evaluation metrics for text sentiment problems. +message TextSentimentEvaluationMetrics { + // Output only. Precision. + float precision = 1; + + // Output only. Recall. + float recall = 2; + + // Output only. The harmonic mean of recall and precision. + float f1_score = 3; + + // Output only. Mean absolute error. Only set for the overall model + // evaluation, not for evaluation of a single annotation spec. + float mean_absolute_error = 4; + + // Output only. Mean squared error. Only set for the overall model + // evaluation, not for evaluation of a single annotation spec. + float mean_squared_error = 5; + + // Output only. Linear weighted kappa. Only set for the overall model + // evaluation, not for evaluation of a single annotation spec. + float linear_kappa = 6; + + // Output only. Quadratic weighted kappa. Only set for the overall model + // evaluation, not for evaluation of a single annotation spec. + float quadratic_kappa = 7; + + // Output only. Confusion matrix of the evaluation. + // Only set for the overall model evaluation, not for evaluation of a single + // annotation spec. + ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + + // Output only. The annotation spec ids used for this evaluation. + // Deprecated . + repeated string annotation_spec_id = 9 [deprecated = true]; +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/translation.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/translation.proto new file mode 100644 index 000000000..8585bd410 --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/translation.proto @@ -0,0 +1,69 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/field_behavior.proto"; +import "google/cloud/automl/v1beta1/data_items.proto"; +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_outer_classname = "TranslationProto"; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// Dataset metadata that is specific to translation. +message TranslationDatasetMetadata { + // Required. The BCP-47 language code of the source language. + string source_language_code = 1 [(google.api.field_behavior) = REQUIRED]; + + // Required. The BCP-47 language code of the target language. + string target_language_code = 2 [(google.api.field_behavior) = REQUIRED]; +} + +// Evaluation metrics for the dataset. +message TranslationEvaluationMetrics { + // Output only. BLEU score. + double bleu_score = 1; + + // Output only. BLEU score for base model. + double base_bleu_score = 2; +} + +// Model metadata that is specific to translation. +message TranslationModelMetadata { + // The resource name of the model to use as a baseline to train the custom + // model. If unset, we use the default base model provided by Google + // Translate. Format: + // `projects/{project_id}/locations/{location_id}/models/{model_id}` + string base_model = 1; + + // Output only. Inferred from the dataset. + // The source languge (The BCP-47 language code) that is used for training. + string source_language_code = 2; + + // Output only. The target languge (The BCP-47 language code) that is used for + // training. + string target_language_code = 3; +} + +// Annotation details specific to translation. +message TranslationAnnotation { + // Output only . The translated content. + TextSnippet translated_content = 1; +} diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/video.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/video.proto new file mode 100644 index 000000000..268ae2a8c --- /dev/null +++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/video.proto @@ -0,0 +1,48 @@ +// Copyright 2020 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/cloud/automl/v1beta1/classification.proto"; +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_outer_classname = "VideoProto"; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; +option ruby_package = "Google::Cloud::AutoML::V1beta1"; + +// Dataset metadata specific to video classification. +// All Video Classification datasets are treated as multi label. +message VideoClassificationDatasetMetadata { + +} + +// Dataset metadata specific to video object tracking. +message VideoObjectTrackingDatasetMetadata { + +} + +// Model metadata specific to video classification. +message VideoClassificationModelMetadata { + +} + +// Model metadata specific to video object tracking. +message VideoObjectTrackingModelMetadata { + +} diff --git a/synth.metadata b/synth.metadata index 274f47a82..ea9ece1ba 100644 --- a/synth.metadata +++ b/synth.metadata @@ -10,27 +10,44 @@ { "git": { "name": ".", - "remote": "git@github.com:stephaniewang526/java-automl.git", - "sha": "a78541a3f9314ea24e9e37a239ef1d207abdc1d5" + "remote": "https://github.com/googleapis/java-automl.git", + "sha": "45e55ecb207da3ad0d1fe6548228b172fbb526df" } }, { "git": { "name": "googleapis", "remote": "https://github.com/googleapis/googleapis.git", - "sha": "907754d70ec714ab0e8282fe6ff4988221c64130", - "internalRef": "314217336" + "sha": "aed11c01e52921613b9ee469c2d85f5f33175fb7", + "internalRef": "310660461" + } + }, + { + "git": { + "name": "googleapis", + "remote": "https://github.com/googleapis/googleapis.git", + "sha": "aed11c01e52921613b9ee469c2d85f5f33175fb7", + "internalRef": "310660461" } }, { "git": { "name": "synthtool", "remote": "https://github.com/googleapis/synthtool.git", - "sha": "cb3c683e958a4b5c016bb3734436fc1cb887eb7b" + "sha": "5b48b0716a36ca069db3038da7e205c87a22ed19" } } ], "destinations": [ + { + "client": { + "source": "googleapis", + "apiName": "automl", + "apiVersion": "v1beta1", + "language": "java", + "generator": "bazel" + } + }, { "client": { "source": "googleapis", diff --git a/synth.py b/synth.py index f9087568b..06a8e28c0 100644 --- a/synth.py +++ b/synth.py @@ -23,7 +23,7 @@ gapic = gcp.GAPICGenerator() service = 'automl' -versions = ['v1'] +versions = ['v1beta1', 'v1'] for version in versions: library = java.bazel_library( diff --git a/versions.txt b/versions.txt index 11f86ee4a..42977c6cf 100644 --- a/versions.txt +++ b/versions.txt @@ -1,6 +1,8 @@ # Format: # module:released-version:current-version +proto-google-cloud-automl-v1beta1:0.82.2:0.82.3-SNAPSHOT proto-google-cloud-automl-v1:1.1.2:1.1.3-SNAPSHOT +grpc-google-cloud-automl-v1beta1:0.82.2:0.82.3-SNAPSHOT grpc-google-cloud-automl-v1:1.1.2:1.1.3-SNAPSHOT google-cloud-automl:1.1.2:1.1.3-SNAPSHOT \ No newline at end of file