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Update bugout token #147

Update bugout token

Update bugout token #147

Triggered via push March 15, 2024 16:53
Status Failure
Total duration 1d 7h 59m 18s
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12 errors and 1 warning
Run Benchmarks (linux_cpu)
Process completed with exit code 1.
test_read.test[3.8.25]: deeplake/util/tests/test_read.py#L17
deeplake.util.exceptions.DatasetHandlerError: A Deep Lake dataset does not exist at the given path (./datasets/3_8_25). Check the path provided or in case you want to create a new dataset, use deeplake.empty().
test_write.test_new_samples[3.8.25]: test_write#L25
FileNotFoundError: [Errno 2] No such file or directory: './datasets/3_8_25'
test_write.test_new_tensor[3.8.25]: test_write#L53
FileNotFoundError: [Errno 2] No such file or directory: './datasets/3_8_25'
test_write.test_update_samples[3.8.25]: test_write#L64
FileNotFoundError: [Errno 2] No such file or directory: './datasets/3_8_25'
test_deepmemory.test_deepmemory_evaluate_without_branch_name_with_logging: deeplake/core/vectorstore/deep_memory/test_deepmemory.py#L290
deeplake.util.exceptions.DatasetHandlerError: A dataset already exists at the given path (hub://testingacc2/tmpe191_test_deepmemory_test_deepmemory_evaluate_without_branch_name_with_logging_eval_queries). If you want to create a new empty dataset, either specify another path or use overwrite=True. If you want to load the dataset that exists at this path, use deeplake.load() instead.
test_readonly.test_readonly_viewer: deeplake/api/tests/test_readonly.py#L53
deeplake.util.exceptions.TokenPermissionError: A dataset does not exist at the specified path, or you do not have sufficient permissions to load or create one. Please check the dataset path and make sure that you have sufficient permissions to the path.
Run Benchmarks (linux_gpu)
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Run Benchmarks (macos_intel)
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Run Benchmarks (linux_cpu)
Node.js 16 actions are deprecated. Please update the following actions to use Node.js 20: actions/checkout@v3. For more information see: https://github.blog/changelog/2023-09-22-github-actions-transitioning-from-node-16-to-node-20/.