old_contents: """
  This package provides a text generator class and some utility functions that
  can simply return the text you desire. There are 2 sets of functions:
  
  * Those with **generate_** prefix that return the desired text and some stats
  * Those with **get_** that return the desired text without the stats
  
  On the average, you probably want to import the **get_** prefixed functions and
  just get the text:
  
  >>> from loremipsum import get_sentences
  >>>
  >>> sentences_list = get_sentences(5)
  >>> len(sentences_list)
  5
  >>>
  
  If you fancy some statistics, you want to import the **generate_**
  prefixed functions:
  
  >>> from loremipsum import generate_paragraph
  >>>
  >>> sentences_count, words_count, paragraph = generate_paragraph()
  
  If you need generate text based on your own sample text and/or dictionary, you
  want to import the **Generator** class:
  
  >>> from loremipsum import Generator
  >>>
  >>> with open('data/sample.txt', 'r') as sample_txt
  >>>     sample = sample_txt.read()
  >>> with open('data/dictionary.txt', 'r') as dictionary_txt
  >>>     dictionary = dictionary_txt.read().split()
  >>>
  >>> g = Generator(sample, dictionary)
  >>> sentence = g.get_sentence()
  >>>
  """
  
  from functions import generate_paragraph
  from functions import generate_paragraphs
  from functions import generate_sentence
  from functions import generate_sentences
  from functions import get_paragraph
  from functions import get_paragraphs
  from functions import get_sentence
  from functions import get_sentences
  from functions import get_word
  from functions import get_words
  from generator import Generator
  
  __author__ = "Luca De Vitis <luca@monkeython.com>"
  __version__ = '2.0.0-b1'
  __copyright__ = "2014, %s " % __author__
  __docformat__ = 'restructuredtext en'
  __keywords__ = ['lorem', 'ipsum', 'text', 'generator']
  __classifiers__ = [
  #    'Development Status :: 5 - Production/Stable',
      'Development Status :: 4 - Beta',
      'Intended Audience :: Developers',
      'License :: OSI Approved :: BSD License',
      'Operating System :: OS Independent',
      'Programming Language :: Python :: 2.6',
      'Programming Language :: Python :: 2.7',
      'Programming Language :: Python :: 3.2',
      'Programming Language :: Python :: 3.3',
      'Programming Language :: Python :: 3.4',
      'Programming Language :: Python :: Implementation :: CPython',
      'Programming Language :: Python :: Implementation :: Jython',
      'Programming Language :: Python :: Implementation :: PyPy',
      'Topic :: Software Development :: Libraries :: Python Modules']
  
  __all__ = [
      'generate_sentence',
      'generate_sentences',
      'generate_paragraph',
      'generate_paragraphs',
      'get_word',
      'get_words',
      'get_sentence',
      'get_sentences',
      'get_paragraph',
      'get_paragraphs',
      'Generator']
  
new_contents: """
  This package provides a text generator class and some utility functions that
  can simply return the text you desire. There are 2 sets of functions:
  
  * Those with **generate_** prefix that return the desired text and some stats
  * Those with **get_** that return the desired text without the stats
  
  On the average, you probably want to import the **get_** prefixed functions and
  just get the text:
  
  >>> from loremipsum import get_sentences
  >>>
  >>> sentences_list = get_sentences(5)
  >>> len(sentences_list)
  5
  >>>
  
  If you fancy some statistics, you want to import the **generate_**
  prefixed functions:
  
  >>> from loremipsum import generate_paragraph
  >>>
  >>> sentences_count, words_count, paragraph = generate_paragraph()
  
  If you need generate text based on your own sample text and/or dictionary, you
  want to import the **Generator** class:
  
  >>> from loremipsum import Generator
  >>>
  >>> with open('data/sample.txt', 'r') as sample_txt
  >>>     sample = sample_txt.read()
  >>> with open('data/dictionary.txt', 'r') as dictionary_txt
  >>>     dictionary = dictionary_txt.read().split()
  >>>
  >>> g = Generator(sample, dictionary)
  >>> sentence = g.get_sentence()
  >>>
  """
  
  from functions import generate_paragraph
  from functions import generate_paragraphs
  from functions import generate_sentence
  from functions import generate_sentences
  from functions import get_paragraph
  from functions import get_paragraphs
  from functions import get_sentence
  from functions import get_sentences
  from functions import get_word
  from functions import get_words
  from generator import Generator
  
  __author__ = "Luca De Vitis <luca@monkeython.com>"
  __version__ = '2.0.0-b1'
  __copyright__ = "2014, %s " % __author__
  __docformat__ = 'restructuredtext en'
  __keywords__ = ['lorem', 'ipsum', 'text', 'generator']
  # 'Development Status :: 5 - Production/Stable',
  __classifiers__ = [
      'Development Status :: 4 - Beta',
      'Intended Audience :: Developers',
      'License :: OSI Approved :: BSD License',
      'Operating System :: OS Independent',
      'Programming Language :: Python :: 2.6',
      'Programming Language :: Python :: 2.7',
      'Programming Language :: Python :: 3.2',
      'Programming Language :: Python :: 3.3',
      'Programming Language :: Python :: 3.4',
      'Programming Language :: Python :: Implementation :: CPython',
      'Programming Language :: Python :: Implementation :: Jython',
      'Programming Language :: Python :: Implementation :: PyPy',
      'Topic :: Software Development :: Libraries :: Python Modules']
  
  __all__ = [
      'generate_sentence',
      'generate_sentences',
      'generate_paragraph',
      'generate_paragraphs',
      'get_word',
      'get_words',
      'get_sentence',
      'get_sentences',
      'get_paragraph',
      'get_paragraphs',
      'Generator']
  
subject: Fix flake8 complain E122.