Extend taggable-mixin to support different Tag models.
Usage is pretty simple. Tag model is default in Taggable constructor but you
can call it with different model like GHOPTaskType that inherits from Tag model.
Both Taggable and Tag models have been updated and they don't use hardcoded Tag
model anymore and instead use cls of class methods or self.__class__. In case
of Taggable it's self.__tag_model.
NAME = 'PyYAML'
VERSION = '3.05'
DESCRIPTION = "YAML parser and emitter for Python"
LONG_DESCRIPTION = """\
YAML is a data serialization format designed for human readability and
interaction with scripting languages. PyYAML is a YAML parser and
emitter for Python.
PyYAML features a complete YAML 1.1 parser, Unicode support, pickle
support, capable extension API, and sensible error messages. PyYAML
supports standard YAML tags and provides Python-specific tags that allow
to represent an arbitrary Python object.
PyYAML is applicable for a broad range of tasks from complex
configuration files to object serialization and persistance."""
AUTHOR = "Kirill Simonov"
AUTHOR_EMAIL = 'xi@resolvent.net'
LICENSE = "MIT"
PLATFORMS = "Any"
URL = "http://pyyaml.org/wiki/PyYAML"
DOWNLOAD_URL = "http://pyyaml.org/download/pyyaml/%s-%s.tar.gz" % (NAME, VERSION)
CLASSIFIERS = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python",
"Topic :: Software Development :: Libraries :: Python Modules",
"Topic :: Text Processing :: Markup",
]
from distutils.core import setup
if __name__ == '__main__':
setup(
name=NAME,
version=VERSION,
description=DESCRIPTION,
long_description=LONG_DESCRIPTION,
author=AUTHOR,
author_email=AUTHOR_EMAIL,
license=LICENSE,
platforms=PLATFORMS,
url=URL,
download_url=DOWNLOAD_URL,
classifiers=CLASSIFIERS,
package_dir={'': 'lib'},
packages=['yaml'],
)