bundled/markdown2/setup.py @ af974f8d1eec
Merged in ksander314/hg-review/issue-90 (pull request #12)
Fix issue #90.
author |
Christophe de Vienne <cdevienne@gmail.com> |
date |
Wed, 17 Dec 2014 10:21:27 +0100 |
parents |
5101c0cba85d |
children |
(none) |
#!/usr/bin/env python
"""markdown2: A fast and complete Python implementaion 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.
"""
import os
import sys
import distutils
from distutils.core import setup
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "lib"))
try:
import markdown2
finally:
del sys.path[0]
classifiers = """\
Development Status :: 5 - Production/Stable
Intended Audience :: Developers
License :: OSI Approved :: MIT License
Programming Language :: Python
Operating System :: OS Independent
Topic :: Software Development :: Libraries :: Python Modules
Topic :: Software Development :: Documentation
Topic :: Text Processing :: Filters
Topic :: Text Processing :: Markup :: HTML
"""
if sys.version_info < (2, 3):
# Distutils before Python 2.3 doesn't accept classifiers.
_setup = setup
def setup(**kwargs):
if kwargs.has_key("classifiers"):
del kwargs["classifiers"]
_setup(**kwargs)
doclines = __doc__.split("\n")
script = (sys.platform == "win32" and "lib\\markdown2.py" or "bin/markdown2")
setup(
name="markdown2",
version=markdown2.__version__,
maintainer="Trent Mick",
maintainer_email="trentm@gmail.com",
author="Trent Mick",
author_email="trentm@gmail.com",
url="http://code.google.com/p/python-markdown2/",
license="http://www.opensource.org/licenses/mit-license.php",
platforms=["any"],
py_modules=["markdown2"],
package_dir={"": "lib"},
scripts=[script],
description=doclines[0],
classifiers=filter(None, classifiers.split("\n")),
long_description="\n".join(doclines[2:]),
)