setup.py

#!/usr/bin/env python

from distutils.core import setup, Extension
import os.path

try:
    from Cython.Distutils import build_ext
    have_pyrex = 1
except:
    have_pyrex = 0

# Directory which libstemmer sources are unpacked in.
library_dir = 'libstemmer_c'

# Directories in libstemmer which contain libstemmer sources (ie, not
# examples, etc).
library_core_dirs = ('src_c', 'runtime', 'libstemmer', 'include')

# Read the manifest of files in libstemmer.
src_files = [os.path.join(library_dir, line.strip().replace(' \\', ''))
             for line in open(os.path.join(library_dir, 'mkinc_utf8.mak'))
             if len(line.strip()) > 2
             and (line.strip().endswith('.c \\') or line.strip().endswith('.c'))
             and os.path.split(line.strip())[0] in library_core_dirs]

# Set the include path to include libstemmer.
include_dirs = ('src', os.path.join(library_dir, 'include'))

if have_pyrex:
    # Add the pyrex sources, and a special rule so distutils knows how to
    # use them.
    src_files.append('src/Stemmer.pyx')
    cmdclass = {'build_ext': build_ext}
else:
    # Add just the C sources.
    src_files.append('src/Stemmer.c')
    cmdclass = {}
      
long_description = r"""

Stemming algorithms

PyStemmer provides access to efficient algorithms for calculating a
"stemmed" form of a word.  This is a form with most of the common
morphological endings removed; hopefully representing a common
linguistic base form.  This is most useful in building search engines
and information retrieval software; for example, a search with stemming
enabled should be able to find a document containing "cycling" given the
query "cycles".

PyStemmer provides algorithms for several (mainly european) languages,
by wrapping the libstemmer library from the Snowball project in a Python
module.

It also provides access to the classic Porter stemming algorithm for
english: although this has been superceded by an improved algorithm, the
original algorithm may be of interest to information retrieval
researchers wishing to reproduce results of earlier experiments.

""".strip()

version_str = '1.2.0'
setup(name = 'PyStemmer',
      version = version_str,
      author = 'Richard Boulton',
      author_email = 'richard@tartarus.org',
      maintainer = 'Richard Boulton',
      maintainer_email = 'richard@tartarus.org',
      url = 'http://snowball.tartarus.org/',
      download_url = 'http://snowball.tartarus.org/wrappers/PyStemmer-%s.tar.gz' % version_str,
      description = 'Snowball stemming algorithms, for information retrieval',
      long_description = long_description,
      platforms = ["any"],
      license = ["MIT", "BSD"],
      keywords = [
      "python",
      "information retrieval",
      "language processing",
      "morphological analysis",
      "stemming algorithms",
      "stemmers"
      ],
      classifiers = [
      "Development Status :: 5 - Production/Stable",
      "Intended Audience :: Developers",
      "License :: OSI Approved :: MIT License",
      "License :: OSI Approved :: BSD License",
      "Natural Language :: Danish",
      "Natural Language :: Dutch",
      "Natural Language :: English",
      "Natural Language :: Finnish",
      "Natural Language :: French",
      "Natural Language :: German",
      "Natural Language :: Italian",
      "Natural Language :: Norwegian",
      "Natural Language :: Portuguese",
      "Natural Language :: Russian",
      "Natural Language :: Spanish",
      "Natural Language :: Swedish",
      "Operating System :: OS Independent",
      "Programming Language :: C",
      "Programming Language :: Other",
      "Programming Language :: Python",
      "Topic :: Database",
      "Topic :: Internet :: WWW/HTTP :: Indexing/Search",
      "Topic :: Text Processing :: Indexing",
      "Topic :: Text Processing :: Linguistic",
      ],

      ext_modules = [Extension('Stemmer', src_files,
                               include_dirs = include_dirs)],
      cmdclass = cmdclass
     )