mirror of https://github.com/morpheus65535/bazarr
52 lines
2.1 KiB
Plaintext
52 lines
2.1 KiB
Plaintext
Metadata-Version: 2.1
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Name: webencodings
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Version: 0.5.1
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Summary: Character encoding aliases for legacy web content
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Home-page: https://github.com/SimonSapin/python-webencodings
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Author: Simon Sapin
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Author-email: simon.sapin@exyr.org
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Maintainer: Geoffrey Sneddon
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Maintainer-email: me@gsnedders.com
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License: BSD
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Classifier: Development Status :: 4 - Beta
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Classifier: Intended Audience :: Developers
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Classifier: License :: OSI Approved :: BSD License
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Classifier: Programming Language :: Python
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Classifier: Programming Language :: Python :: 2
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Classifier: Programming Language :: Python :: 2.6
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Classifier: Programming Language :: Python :: 2.7
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.3
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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 :: Implementation :: CPython
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Classifier: Programming Language :: Python :: Implementation :: PyPy
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Classifier: Topic :: Internet :: WWW/HTTP
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python-webencodings
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===================
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This is a Python implementation of the `WHATWG Encoding standard
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<http://encoding.spec.whatwg.org/>`_.
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* Latest documentation: http://packages.python.org/webencodings/
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* Source code and issue tracker:
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https://github.com/gsnedders/python-webencodings
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* PyPI releases: http://pypi.python.org/pypi/webencodings
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* License: BSD
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* Python 2.6+ and 3.3+
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In order to be compatible with legacy web content
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when interpreting something like ``Content-Type: text/html; charset=latin1``,
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tools need to use a particular set of aliases for encoding labels
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as well as some overriding rules.
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For example, ``US-ASCII`` and ``iso-8859-1`` on the web are actually
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aliases for ``windows-1252``, and an UTF-8 or UTF-16 BOM takes precedence
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over any other encoding declaration.
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The Encoding standard defines all such details so that implementations do
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not have to reverse-engineer each other.
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This module has encoding labels and BOM detection,
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but the actual implementation for encoders and decoders is Python’s.
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