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Linux_Drivers/ramdisk/rootfs/public/python3.7/arm64/lib/site-packages/markdown2-2.3.6-py3.7.egg-info
sam.xiang 1cf39ecdd5 [ramdisk] add cvitek pre-built ramdisk
Change-Id: Ic7d2046a23358129eaf621b5558984a64fa7361d
2023-03-10 20:35:40 +08:00

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Metadata-Version: 1.1
Name: markdown2
Version: 2.3.6
Summary: A fast and complete Python implementation of Markdown
Home-page: https://github.com/trentm/python-markdown2
Author: Trent Mick
Author-email: trentm@gmail.com
License: MIT
Description: markdown2: A fast and complete Python implementation of Markdown.
Markdown is a text-to-HTML filter; it translates an easy-to-read /
easy-to-write structured text format into HTML. Markdown's text
format is most similar to that of plain text email, and supports
features such as headers, *emphasis*, code blocks, blockquotes, and
links. -- http://daringfireball.net/projects/markdown/
This is a fast and complete Python implementation of the Markdown
spec. See http://github.com/trentm/python-markdown2 for more info.
Platform: any
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.4
Classifier: Programming Language :: Python :: 2.5
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.0
Classifier: Programming Language :: Python :: 3.1
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Operating System :: OS Independent
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Software Development :: Documentation
Classifier: Topic :: Text Processing :: Filters
Classifier: Topic :: Text Processing :: Markup :: HTML