fix(aiplatform): Fix doc formatting

google/cloud/aiplatform/base.py

@@ -94,7 +94,6 @@ def log_create_complete(
             resource (proto.Message):
                 AI Platform Resourc proto.Message
             variable_name (str): Name of variable to use for code snippet
-
         """
         self._logger.info(f"{cls.__name__} created. Resource name: {resource.name}")
         self._logger.info(f"To use this {cls.__name__} in another session:")
@@ -181,7 +180,8 @@ def _raise_future_exception(self):
                 raise self._exception
 
     def _complete_future(self, future: futures.Future):
-        """Checks for exception of future and removes the pointer if it's still latest.
+        """Checks for exception of future and removes the pointer if it's still
+        latest.
 
         Args:
             future (futures.Future): Required. A future to complete.
@@ -215,13 +215,14 @@ def wait(self):
 
     @property
     def _latest_future(self) -> Optional[futures.Future]:
-        """Get the latest future if it exists"""
+        """Get the latest future if it exists."""
         with self.__latest_future_lock:
             return self.__latest_future
 
     @_latest_future.setter
     def _latest_future(self, future: Optional[futures.Future]):
-        """Optionally set the latest future and add a complete_future callback."""
+        """Optionally set the latest future and add a complete_future
+        callback."""
         with self.__latest_future_lock:
             self.__latest_future = future
         if future:
@@ -260,7 +261,8 @@ def wait_for_dependencies_and_invoke(
             kwargs: Dict[str, Any],
             internal_callbacks: Iterable[Callable[[Any], Any]],
         ) -> Any:
-            """Wrapper method to wait on any dependencies before submitting method.
+            """Wrapper method to wait on any dependencies before submitting
+            method.
 
             Args:
                 deps (Sequence[futures.Future]):
@@ -272,7 +274,6 @@ def wait_for_dependencies_and_invoke(
                     Required. The keyword arguments to call the method with.
                 internal_callbacks: (Callable[[Any], Any]):
                     Callbacks that take the result of method.
-
             """
 
             for future in set(deps):
@@ -342,12 +343,14 @@ def wait_for_dependencies_and_invoke(
     @classmethod
     @abc.abstractmethod
     def _empty_constructor(cls) -> "FutureManager":
-        """Should construct object with all non FutureManager attributes as None"""
+        """Should construct object with all non FutureManager attributes as
+        None."""
         pass
 
     @abc.abstractmethod
     def _sync_object_with_future_result(self, result: "FutureManager"):
-        """Should sync the object from _empty_constructor with result of future."""
+        """Should sync the object from _empty_constructor with result of
+        future."""
 
     def __repr__(self) -> str:
         if self._exception:
@@ -375,7 +378,8 @@ class AiPlatformResourceNoun(metaclass=abc.ABCMeta):
     @classmethod
     @abc.abstractmethod
     def client_class(cls) -> Type[utils.AiPlatformServiceClientWithOverride]:
-        """Client class required to interact with resource with optional overrides."""
+        """Client class required to interact with resource with optional
+        overrides."""
         pass
 
     @property
@@ -388,7 +392,8 @@ def _is_client_prediction_client(cls) -> bool:
     @property
     @abc.abstractmethod
     def _getter_method(cls) -> str:
-        """Name of getter method of client class for retrieving the resource."""
+        """Name of getter method of client class for retrieving the
+        resource."""
         pass
 
     @property
@@ -400,7 +405,7 @@ def _delete_method(cls) -> str:
     @property
     @abc.abstractmethod
     def _resource_noun(cls) -> str:
-        """Resource noun"""
+        """Resource noun."""
         pass
 
     def __init__(
@@ -547,7 +552,8 @@ def optional_sync(
     return_input_arg: Optional[str] = None,
     bind_future_to_self: bool = True,
 ):
-    """Decorator for AiPlatformResourceNounWithFutureManager with optional sync support.
+    """Decorator for AiPlatformResourceNounWithFutureManager with optional sync
+    support.
 
     Methods with this decorator should include a "sync" argument that defaults to
     True. If called with sync=False this decorator will launch the method as a
@@ -681,7 +687,8 @@ def wrapper(*args, **kwargs):
 
 
 class AiPlatformResourceNounWithFutureManager(AiPlatformResourceNoun, FutureManager):
-    """Allows optional asynchronous calls to this AI Platform Resource Nouns."""
+    """Allows optional asynchronous calls to this AI Platform Resource
+    Nouns."""
 
     def __init__(
         self,
@@ -816,7 +823,8 @@ def _list(
         credentials: Optional[auth_credentials.Credentials] = None,
     ) -> List[AiPlatformResourceNoun]:
         """Private method to list all instances of this AI Platform Resource,
-        takes a `cls_filter` arg to filter to a particular SDK resource subclass.
+        takes a `cls_filter` arg to filter to a particular SDK resource
+        subclass.
 
         Args:
             cls_filter (Callable[[proto.Message], bool]):
@@ -884,8 +892,9 @@ def _list_with_local_order(
         credentials: Optional[auth_credentials.Credentials] = None,
     ) -> List[AiPlatformResourceNoun]:
         """Private method to list all instances of this AI Platform Resource,
-        takes a `cls_filter` arg to filter to a particular SDK resource subclass.
-        Provides client-side sorting when a list API doesn't support `order_by`.
+        takes a `cls_filter` arg to filter to a particular SDK resource
+        subclass. Provides client-side sorting when a list API doesn't support
+        `order_by`.
 
         Args:
             cls_filter (Callable[[proto.Message], bool]):
@@ -986,7 +995,8 @@ def list(
 
     @optional_sync()
     def delete(self, sync: bool = True) -> None:
-        """Deletes this AI Platform resource. WARNING: This deletion is permament.
+        """Deletes this AI Platform resource. WARNING: This deletion is
+        permament.
 
         Args:
             sync (bool):

google/cloud/aiplatform/datasets/_datasources.py

@@ -26,7 +26,7 @@
 
 
 class Datasource(abc.ABC):
-    """An abstract class that sets dataset_metadata"""
+    """An abstract class that sets dataset_metadata."""
 
     @property
     @abc.abstractmethod
@@ -36,7 +36,7 @@ def dataset_metadata(self):
 
 
 class DatasourceImportable(abc.ABC):
-    """An abstract class that sets import_data_config"""
+    """An abstract class that sets import_data_config."""
 
     @property
     @abc.abstractmethod
@@ -46,14 +46,14 @@ def import_data_config(self):
 
 
 class TabularDatasource(Datasource):
-    """Datasource for creating a tabular dataset for AI Platform"""
+    """Datasource for creating a tabular dataset for AI Platform."""
 
     def __init__(
         self,
         gcs_source: Optional[Union[str, Sequence[str]]] = None,
         bq_source: Optional[str] = None,
     ):
-        """Creates a tabular datasource
+        """Creates a tabular datasource.
 
         Args:
             gcs_source (Union[str, Sequence[str]]):
@@ -99,23 +99,24 @@ def dataset_metadata(self) -> Optional[Dict]:
 
 
 class NonTabularDatasource(Datasource):
-    """Datasource for creating an empty non-tabular dataset for AI Platform"""
+    """Datasource for creating an empty non-tabular dataset for AI Platform."""
 
     @property
     def dataset_metadata(self) -> Optional[Dict]:
         return None
 
 
 class NonTabularDatasourceImportable(NonTabularDatasource, DatasourceImportable):
-    """Datasource for creating a non-tabular dataset for AI Platform and importing data to the dataset"""
+    """Datasource for creating a non-tabular dataset for AI Platform and
+    importing data to the dataset."""
 
     def __init__(
         self,
         gcs_source: Union[str, Sequence[str]],
         import_schema_uri: str,
         data_item_labels: Optional[Dict] = None,
     ):
-        """Creates a non-tabular datasource
+        """Creates a non-tabular datasource.
 
         Args:
             gcs_source (Union[str, Sequence[str]]):

google/cloud/aiplatform/datasets/dataset.py

@@ -36,7 +36,7 @@
 
 
 class _Dataset(base.AiPlatformResourceNounWithFutureManager):
-    """Managed dataset resource for AI Platform"""
+    """Managed dataset resource for AI Platform."""
 
     client_class = utils.DatasetClientWithOverride
     _is_client_prediction_client = False
@@ -70,7 +70,6 @@ def __init__(
             credentials (auth_credentials.Credentials):
                 Custom credentials to use to upload this model. Overrides
                 credentials set in aiplatform.init.
-
         """
 
         super().__init__(
@@ -195,7 +194,6 @@ def create(
         Returns:
             dataset (Dataset):
                 Instantiated representation of the managed dataset resource.
-
         """
 
         utils.validate_display_name(display_name)

google/cloud/aiplatform/datasets/image_dataset.py

@@ -27,7 +27,7 @@
 
 
 class ImageDataset(datasets._Dataset):
-    """Managed image dataset resource for AI Platform"""
+    """Managed image dataset resource for AI Platform."""
 
     _supported_metadata_schema_uris: Optional[Tuple[str]] = (
         schema.dataset.metadata.image,
@@ -47,8 +47,8 @@ def create(
         encryption_spec_key_name: Optional[str] = None,
         sync: bool = True,
     ) -> "ImageDataset":
-        """Creates a new image dataset and optionally imports data into dataset when
-        source and import_schema_uri are passed.
+        """Creates a new image dataset and optionally imports data into dataset
+        when source and import_schema_uri are passed.
 
         Args:
             display_name (str):
@@ -114,7 +114,6 @@ def create(
         Returns:
             image_dataset (ImageDataset):
                 Instantiated representation of the managed image dataset resource.
-
         """
 
         utils.validate_display_name(display_name)

google/cloud/aiplatform/datasets/tabular_dataset.py

@@ -27,7 +27,7 @@
 
 
 class TabularDataset(datasets._Dataset):
-    """Managed tabular dataset resource for AI Platform"""
+    """Managed tabular dataset resource for AI Platform."""
 
     _supported_metadata_schema_uris: Optional[Tuple[str]] = (
         schema.dataset.metadata.tabular,
@@ -95,7 +95,6 @@ def create(
         Returns:
             tabular_dataset (TabularDataset):
                 Instantiated representation of the managed tabular dataset resource.
-
         """
 
         utils.validate_display_name(display_name)

google/cloud/aiplatform/datasets/text_dataset.py

@@ -27,7 +27,7 @@
 
 
 class TextDataset(datasets._Dataset):
-    """Managed text dataset resource for AI Platform"""
+    """Managed text dataset resource for AI Platform."""
 
     _supported_metadata_schema_uris: Optional[Tuple[str]] = (
         schema.dataset.metadata.text,
@@ -47,8 +47,8 @@ def create(
         encryption_spec_key_name: Optional[str] = None,
         sync: bool = True,
     ) -> "TextDataset":
-        """Creates a new text dataset and optionally imports data into dataset when
-        source and import_schema_uri are passed.
+        """Creates a new text dataset and optionally imports data into dataset
+        when source and import_schema_uri are passed.
 
         Example Usage:
             ds = aiplatform.TextDataset.create(
@@ -121,7 +121,6 @@ def create(
         Returns:
             text_dataset (TextDataset):
                 Instantiated representation of the managed text dataset resource.
-
         """
 
         utils.validate_display_name(display_name)

google/cloud/aiplatform/datasets/video_dataset.py

@@ -27,7 +27,7 @@
 
 
 class VideoDataset(datasets._Dataset):
-    """Managed video dataset resource for AI Platform"""
+    """Managed video dataset resource for AI Platform."""
 
     _supported_metadata_schema_uris: Optional[Tuple[str]] = (
         schema.dataset.metadata.video,
@@ -47,8 +47,8 @@ def create(
         encryption_spec_key_name: Optional[str] = None,
         sync: bool = True,
     ) -> "VideoDataset":
-        """Creates a new video dataset and optionally imports data into dataset when
-        source and import_schema_uri are passed.
+        """Creates a new video dataset and optionally imports data into dataset
+        when source and import_schema_uri are passed.
 
         Args:
             display_name (str):
@@ -114,7 +114,6 @@ def create(
         Returns:
             video_dataset (VideoDataset):
                 Instantiated representation of the managed video dataset resource.
-
         """
 
         utils.validate_display_name(display_name)

google/cloud/aiplatform/helpers/value_converter.py

@@ -21,7 +21,8 @@
 
 
 def to_value(self: Message) -> Value:
-    """Converts a message type to a :class:`~google.protobuf.struct_pb2.Value` object.
+    """Converts a message type to a :class:`~google.protobuf.struct_pb2.Value`
+    object.
 
     Args:
       message: the message to convert
@@ -34,7 +35,8 @@ def to_value(self: Message) -> Value:
 
 
 def from_value(cls: MessageMeta, value: Value) -> Message:
-    """Creates instance of class from a :class:`~google.protobuf.struct_pb2.Value` object.
+    """Creates instance of class from a
+    :class:`~google.protobuf.struct_pb2.Value` object.
 
     Args:
       value: a :class:`~google.protobuf.struct_pb2.Value` object
@@ -47,7 +49,8 @@ def from_value(cls: MessageMeta, value: Value) -> Message:
 
 
 def from_map(cls: MessageMeta, map_: MapComposite) -> Message:
-    """Creates instance of class from a :class:`~proto.marshal.collections.maps.MapComposite` object.
+    """Creates instance of class from a
+    :class:`~proto.marshal.collections.maps.MapComposite` object.
 
     Args:
       map_: a :class:`~proto.marshal.collections.maps.MapComposite` object

google/cloud/aiplatform/initializer.py

@@ -107,8 +107,9 @@ def get_encryption_spec(
             gca_encryption_spec_v1beta1.EncryptionSpec,
         ]
     ]:
-        """Creates a gca_encryption_spec.EncryptionSpec instance from the given key name.
-        If the provided key name is None, it uses the default key name if provided.
+        """Creates a gca_encryption_spec.EncryptionSpec instance from the given
+        key name. If the provided key name is None, it uses the default key
+        name if provided.
 
         Args:
             encryption_spec_key_name (Optional[str]): The default encryption key name to use when creating resources.
@@ -241,7 +242,8 @@ def create_client(
         location_override: Optional[str] = None,
         prediction_client: bool = False,
     ) -> utils.AiPlatformServiceClientWithOverride:
-        """Instantiates a given AiPlatformServiceClient with optional overrides.
+        """Instantiates a given AiPlatformServiceClient with optional
+        overrides.
 
         Args:
             client_class (utils.AiPlatformServiceClientWithOverride):