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from textwrap import dedent
from setuptools import setup
setup(
name = "lojbansuggest",
version = "0.2.2",
author = "Timo Paulssen",
author_email = "timo+lojbansuggest@wakelift.de",
download_url = "http://wakelift.de/lojban/software/python/lojbansuggest-0.2.2.tar.gz",
license = "BSD",
install_requires = ["lojbantools"],
scripts = ["scripts/%s" % filename for filename in ["suggest.py",
"showlojbantree.sh",
"lojbantreeproj.py"]],
packages = ["lojbansuggest"],
dependency_links = ["http://wakelift.de/lojban/software/"],
classifiers = ["Development Status :: 3 - Alpha",
"Environment :: Console",
"Intended Audience :: Education",
"Intended Audience :: Developers",
"License :: OSI Approved :: BSD License",
"Operating System :: OS Independent",
"Programming Language :: Python",
"Topic :: Text Processing :: Linguistic",
],
long_description = dedent("""\
=============
Lojbansuggest
=============
This library is made up of two independent parts:
suggest
-------
This is a library and a thin commandline that takes a lojban sentence and looks for common beginner mistakes and makes suggestions for corrections.
tree
----
This is a library to turn a lojban sentence into an approximate analysis of the semantics (for example what sumti goes into what place of what tanru unit).
At the moment it's not very powerful.""")
)