old_contents: from distutils.core import setup
  import io
  import os.path
  
  def read(filename):
      filepath = os.path.join(os.path.dirname(__file__), filename)
      with io.open(filepath) as fp:
          text = fp.read()
      return text
  
  setup(
      name='fastcomp',
      version='1.1.0',
      py_modules=['fastcomp'],
      author='Fujimoto Seiji',
      author_email='fujimoto@ceptord.net',
      url='https://github.com/fujimotos/fastcomp',
      description='Limited-but-faster computation of Levenshtein distance',
      long_description=read('README.md'),
      license='MIT',
      classifiers=[
          'Programming Language :: Python',
          'Development Status :: 4 - Beta',
          'Intended Audience :: Science/Research',
          'License :: OSI Approved :: MIT License',
          'Operating System :: OS Independent',
          'Programming Language :: Python :: 2',
          'Programming Language :: Python :: 3',
          'Topic :: Scientific/Engineering',
          'Topic :: Text Processing'
      ]
  )
  
new_contents: from distutils.core import setup
  
  
  setup(
      name='fastcomp',
      version='1.1.0',
      py_modules=['fastcomp'],
      author='Fujimoto Seiji',
      author_email='fujimoto@ceptord.net',
      url='https://github.com/fujimotos/fastcomp',
      description='Limited-but-faster computation of Levenshtein distance',
      long_description="""The fastcomp is an efficient algorithm for computing (Damerau-)
  Levenshtein distance **up to two**.
  
  Given two strings of length m and n (m <= n), the
  computation requires O(1) space and O(n) time, which is
  much smaller and faster than well-known Wagner-Fisher algorithm.""",
      license='MIT',
      classifiers=[
          'Development Status :: 4 - Beta',
          'Intended Audience :: Science/Research',
          'License :: OSI Approved :: MIT License',
          'Programming Language :: Python :: 2',
          'Programming Language :: Python :: 3',
          'Topic :: Scientific/Engineering',
      ]
  )
  
subject: clean up the package meta data.