old_contents: # coding: utf-8
  from __future__ import unicode_literals
  
  import pytest
  from spacy.kb import KnowledgeBase
  from spacy.util import ensure_path
  from spacy.lang.en import English
  
  from ..tests.util import make_tempdir
  
  
  def test_issue4674():
      """Test that setting entities with overlapping identifiers does not mess up IO"""
      nlp = English()
      kb = KnowledgeBase(nlp.vocab, entity_vector_length=3)
  
      vector1 = [0.9, 1.1, 1.01]
      vector2 = [1.8, 2.25, 2.01]
      with pytest.warns(UserWarning):
          kb.set_entities(
              entity_list=["Q1", "Q1"],
              freq_list=[32, 111],
              vector_list=[vector1, vector2],
          )
  
      assert kb.get_size_entities() == 1
  
      # dumping to file & loading back in
      with make_tempdir() as d:
          dir_path = ensure_path(d)
          if not dir_path.exists():
              dir_path.mkdir()
          file_path = dir_path / "kb"
          kb.dump(str(file_path))
  
          kb2 = KnowledgeBase(vocab=nlp.vocab, entity_vector_length=3)
          kb2.load_bulk(str(file_path))
  
      assert kb2.get_size_entities() == 1
  
new_contents: # coding: utf-8
  from __future__ import unicode_literals
  
  import pytest
  from spacy.kb import KnowledgeBase
  from spacy.util import ensure_path
  from spacy.lang.en import English
  
  from ..util import make_tempdir
  
  
  def test_issue4674():
      """Test that setting entities with overlapping identifiers does not mess up IO"""
      nlp = English()
      kb = KnowledgeBase(nlp.vocab, entity_vector_length=3)
  
      vector1 = [0.9, 1.1, 1.01]
      vector2 = [1.8, 2.25, 2.01]
      with pytest.warns(UserWarning):
          kb.set_entities(
              entity_list=["Q1", "Q1"],
              freq_list=[32, 111],
              vector_list=[vector1, vector2],
          )
  
      assert kb.get_size_entities() == 1
  
      # dumping to file & loading back in
      with make_tempdir() as d:
          dir_path = ensure_path(d)
          if not dir_path.exists():
              dir_path.mkdir()
          file_path = dir_path / "kb"
          kb.dump(str(file_path))
  
          kb2 = KnowledgeBase(vocab=nlp.vocab, entity_vector_length=3)
          kb2.load_bulk(str(file_path))
  
      assert kb2.get_size_entities() == 1
  
subject: Fix typo