old_contents: # coding: utf-8
  from __future__ import unicode_literals
  
  from ...pipeline import EntityRecognizer
  from ..util import get_doc
  
  import pytest
  
  
  def test_doc_add_entities_set_ents_iob(en_vocab):
      text = ["This", "is", "a", "lion"]
      doc = get_doc(en_vocab, text)
      ner = EntityRecognizer(en_vocab)
      ner.begin_training([])
      ner(doc)
  
      assert len(list(doc.ents)) == 0
      assert [w.ent_iob_ for w in doc] == (['O'] * len(doc))
  
      doc.ents = [(doc.vocab.strings['ANIMAL'], 3, 4)]
      assert [w.ent_iob_ for w in doc] == ['O', 'O', 'O', 'B']
  
      doc.ents = [(doc.vocab.strings['WORD'], 0, 2)]
      assert [w.ent_iob_ for w in doc] == ['B', 'I', 'O', 'O']
  
new_contents: # coding: utf-8
  from __future__ import unicode_literals
  
  from ...pipeline import EntityRecognizer
  from ..util import get_doc
  
  import pytest
  
  
  def test_doc_add_entities_set_ents_iob(en_vocab):
      text = ["This", "is", "a", "lion"]
      doc = get_doc(en_vocab, text)
      ner = EntityRecognizer(en_vocab)
      ner.begin_training([])
      ner(doc)
  
      assert len(list(doc.ents)) == 0
      assert [w.ent_iob_ for w in doc] == (['O'] * len(doc))
  
      doc.ents = [(doc.vocab.strings['ANIMAL'], 3, 4)]
      assert [w.ent_iob_ for w in doc] == ['', '', '', 'B']
  
      doc.ents = [(doc.vocab.strings['WORD'], 0, 2)]
      assert [w.ent_iob_ for w in doc] == ['B', 'I', '', '']
  
subject: Update doc.ents test