old_contents: from __future__ import unicode_literals
  from ...language import Language
  
  def test_simple_train():
      nlp = Language()
  
      nlp.add_pipe(nlp.create_pipe('textcat'))
      nlp.get_pipe('textcat').add_label('is_good')
  
      nlp.begin_training()
  
      for i in range(5):
          for text, answer in [('aaaa', 1.), ('bbbb', 0), ('aa', 1.),
                              ('bbbbbbbbb', 0.), ('aaaaaa', 1)]:
              nlp.update([text], [{'cats': {'answer': answer}}])
      doc = nlp(u'aaa')
      assert 'is_good' in doc.cats
      assert doc.cats['is_good'] >= 0.5
  
  
new_contents: # coding: utf8
  
  from __future__ import unicode_literals
  from ...language import Language
  
  
  def test_simple_train():
      nlp = Language()
      nlp.add_pipe(nlp.create_pipe('textcat'))
      nlp.get_pipe('textcat').add_label('answer')
      nlp.begin_training()
      for i in range(5):
          for text, answer in [('aaaa', 1.), ('bbbb', 0), ('aa', 1.),
                              ('bbbbbbbbb', 0.), ('aaaaaa', 1)]:
              nlp.update([text], [{'cats': {'answer': answer}}])
      doc = nlp(u'aaa')
      assert 'answer' in doc.cats
      assert doc.cats['answer'] >= 0.5
  
subject: Fix textcat simple train example