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Copy file name to clipboardexpand all lines: README.md
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@@ -52,7 +52,7 @@ Using `architecture` input it is possible to specify the required Python or PyPy
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The action has built-in functionality for caching and restoring dependencies. It uses [toolkit/cache](https://github.com/actions/toolkit/tree/main/packages/cache) under the hood for caching dependencies but requires less configuration settings. Supported package managers are `pip`, `pipenv` and `poetry`. The `cache` input is optional, and caching is turned off by default.
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The action defaults to searching for a dependency file (`requirements.txt` for pip, `Pipfile.lock` for pipenv or `poetry.lock` for poetry) in the repository, and uses its hash as a part of the cache key. Input `cache-dependency-path` is used for cases when multiple dependency files are used, they are located in different subdirectories or different files for the hash that want to be used.
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The action defaults to searching for a dependency file (`requirements.txt` or `pyproject.toml` for pip, `Pipfile.lock` for pipenv or `poetry.lock` for poetry) in the repository, and uses its hash as a part of the cache key. Input `cache-dependency-path` is used for cases when multiple dependency files are used, they are located in different subdirectories or different files for the hash that want to be used.
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- For `pip`, the action will cache the global cache directory
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- For `pipenv`, the action will cache virtualenv directory
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