47 lines
2.1 KiB
Plaintext
47 lines
2.1 KiB
Plaintext
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Metadata-Version: 2.1
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Name: typing-extensions
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Version: 3.10.0.2
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Summary: Backported and Experimental Type Hints for Python 3.5+
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Home-page: https://github.com/python/typing/blob/master/typing_extensions/README.rst
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Author: Guido van Rossum, Jukka Lehtosalo, Łukasz Langa, Michael Lee
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Author-email: levkivskyi@gmail.com
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License: PSF
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Keywords: typing function annotations type hints hinting checking checker typehints typehinting typechecking backport
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Platform: UNKNOWN
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Classifier: Development Status :: 3 - Alpha
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Classifier: Environment :: Console
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Classifier: Intended Audience :: Developers
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Classifier: License :: OSI Approved :: Python Software Foundation License
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Classifier: Operating System :: OS Independent
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Classifier: Programming Language :: Python :: 2.7
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Classifier: Programming Language :: Python :: 3.4
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Classifier: Programming Language :: Python :: 3.5
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Classifier: Programming Language :: Python :: 3.6
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Classifier: Programming Language :: Python :: 3.7
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Classifier: Programming Language :: Python :: 3.8
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Classifier: Programming Language :: Python :: 3.9
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Classifier: Programming Language :: Python :: 3.10
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Classifier: Topic :: Software Development
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License-File: LICENSE
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Requires-Dist: typing (>=3.7.4) ; python_version < "3.5"
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Typing Extensions -- Backported and Experimental Type Hints for Python
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The ``typing`` module was added to the standard library in Python 3.5, but
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many new features have been added to the module since then.
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This means users of Python 3.5 - 3.6 who are unable to upgrade will not be
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able to take advantage of new types added to the ``typing`` module, such as
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``typing.Protocol`` or ``typing.TypedDict``.
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The ``typing_extensions`` module contains backports of these changes.
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Experimental types that will eventually be added to the ``typing``
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module are also included in ``typing_extensions``, such as
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``typing.ParamSpec`` and ``typing.TypeGuard``.
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Users of Python versions before 3.5 should install and use
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the ``typing`` module from PyPI instead of using this one, unless specifically
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writing code that must be compatible with multiple Python versions or requires
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experimental types.
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