old_contents: # coding: utf-8
  from __future__ import unicode_literals
  
  from ....parts_of_speech import SPACE
  from ...util import get_doc
  
  import six
  import pytest
  
  
  def test_en_tagger_load_morph_exc(en_tokenizer):
      text = "I like his style."
      tags = ['PRP', 'VBP', 'PRP$', 'NN', '.']
      morph_exc = {'VBP': {'like': {'L': 'luck'}}}
      en_tokenizer.vocab.morphology.load_morph_exceptions(morph_exc)
      tokens = en_tokenizer(text)
      doc = get_doc(tokens.vocab, [t.text for t in tokens], tags=tags)
      assert doc[1].tag_ == 'VBP'
      assert doc[1].lemma_ == 'luck'
  
  
  @pytest.mark.models('en')
  def test_tag_names(EN):
      text = "I ate pizzas with anchovies."
      doc = EN(text, disable=['parser'])
      assert type(doc[2].pos) == int
      assert isinstance(doc[2].pos_, six.text_type)
      assert type(doc[2].dep) == int
      assert isinstance(doc[2].dep_, six.text_type)
      assert doc[2].tag_ == u'NNS'
  
  
  @pytest.mark.xfail
  @pytest.mark.models('en')
  def test_en_tagger_spaces(EN):
      """Ensure spaces are assigned the POS tag SPACE"""
      text = "Some\nspaces are\tnecessary."
      doc = EN(text, disable=['parser'])
      assert doc[0].pos != SPACE
      assert doc[0].pos_ != 'SPACE'
      assert doc[1].pos == SPACE
      assert doc[1].pos_ == 'SPACE'
      assert doc[1].tag_ == 'SP'
      assert doc[2].pos != SPACE
      assert doc[3].pos != SPACE
      assert doc[4].pos == SPACE
  
  
  @pytest.mark.xfail
  @pytest.mark.models('en')
  def test_en_tagger_return_char(EN):
      """Ensure spaces are assigned the POS tag SPACE"""
      text = ('hi Aaron,\r\n\r\nHow is your schedule today, I was wondering if '
                'you had time for a phone\r\ncall this afternoon?\r\n\r\n\r\n')
      tokens = EN(text)
      for token in tokens:
          if token.is_space:
              assert token.pos == SPACE
      assert tokens[3].text == '\r\n\r\n'
      assert tokens[3].is_space
      assert tokens[3].pos == SPACE
  
new_contents: # coding: utf-8
  from __future__ import unicode_literals
  
  from ....parts_of_speech import SPACE
  from ...util import get_doc
  
  import six
  import pytest
  
  
  def test_en_tagger_load_morph_exc(en_tokenizer):
      text = "I like his style."
      tags = ['PRP', 'VBP', 'PRP$', 'NN', '.']
      morph_exc = {'VBP': {'like': {'L': 'luck'}}}
      en_tokenizer.vocab.morphology.load_morph_exceptions(morph_exc)
      tokens = en_tokenizer(text)
      doc = get_doc(tokens.vocab, [t.text for t in tokens], tags=tags)
      assert doc[1].tag_ == 'VBP'
      assert doc[1].lemma_ == 'luck'
  
  
  @pytest.mark.models('en')
  def test_tag_names(EN):
      text = "I ate pizzas with anchovies."
      doc = EN(text, disable=['parser'])
      assert type(doc[2].pos) == int
      assert isinstance(doc[2].pos_, six.text_type)
      assert isinstance(doc[2].dep_, six.text_type)
      assert doc[2].tag_ == u'NNS'
  
  
  @pytest.mark.xfail
  @pytest.mark.models('en')
  def test_en_tagger_spaces(EN):
      """Ensure spaces are assigned the POS tag SPACE"""
      text = "Some\nspaces are\tnecessary."
      doc = EN(text, disable=['parser'])
      assert doc[0].pos != SPACE
      assert doc[0].pos_ != 'SPACE'
      assert doc[1].pos == SPACE
      assert doc[1].pos_ == 'SPACE'
      assert doc[1].tag_ == 'SP'
      assert doc[2].pos != SPACE
      assert doc[3].pos != SPACE
      assert doc[4].pos == SPACE
  
  
  @pytest.mark.xfail
  @pytest.mark.models('en')
  def test_en_tagger_return_char(EN):
      """Ensure spaces are assigned the POS tag SPACE"""
      text = ('hi Aaron,\r\n\r\nHow is your schedule today, I was wondering if '
                'you had time for a phone\r\ncall this afternoon?\r\n\r\n\r\n')
      tokens = EN(text)
      for token in tokens:
          if token.is_space:
              assert token.pos == SPACE
      assert tokens[3].text == '\r\n\r\n'
      assert tokens[3].is_space
      assert tokens[3].pos == SPACE
  
subject: Fix test