annotate env/lib/python3.9/site-packages/typing_extensions-3.7.4.3.dist-info/METADATA @ 0:4f3585e2f14b draft default tip

"planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"

Metadata-Version: 2.1
Name: typing-extensions
Version: 3.7.4.3
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, Lukasz Langa, Michael Lee
Author-email: [e-mail]
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: Topic :: Software Development
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 on
a provisional basis and will no longer be provisional in Python 3.7. However,
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.Text`` or ``typing.Coroutine``.

The ``typing_extensions`` module contains both backports of these changes
as well as experimental types that will eventually be added to the ``typing``
module, such as ``Protocol`` or ``TypedDict``.

Users of other Python versions should continue to 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.