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Manage temp tensor files in memory rather than sending them to storage #12203

Manage temp tensor files in memory rather than sending them to storage

Manage temp tensor files in memory rather than sending them to storage #12203

Triggered via pull request April 12, 2024 00:20
Status Success
Total duration 25m 21s
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lint.yml

on: pull_request
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4 errors and 1 warning
test_read.test[3.9.0]: deeplake/util/tests/test_read.py#L17
deeplake.util.exceptions.DatasetHandlerError: A Deep Lake dataset does not exist at the given path (./datasets/3_9_0). Check the path provided or in case you want to create a new dataset, use deeplake.empty().
test_write.test_new_samples[3.9.0]: test_write#L25
FileNotFoundError: [Errno 2] No such file or directory: './datasets/3_9_0'
test_write.test_new_tensor[3.9.0]: test_write#L53
FileNotFoundError: [Errno 2] No such file or directory: './datasets/3_9_0'
test_write.test_update_samples[3.9.0]: test_write#L64
FileNotFoundError: [Errno 2] No such file or directory: './datasets/3_9_0'
Python linting
Node.js 16 actions are deprecated. Please update the following actions to use Node.js 20: actions/checkout@v3, actions/setup-python@v4. For more information see: https://github.blog/changelog/2023-09-22-github-actions-transitioning-from-node-16-to-node-20/.