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