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	* Update doctests
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				|  | @ -15,11 +15,11 @@ def test_1(): | |||
|     assert u"‘Give it BACK,’ he pleaded ABJECTLY, ‘it’s mine.’" | ||||
| 
 | ||||
|     o = nlp.vocab[u'back'].prob | ||||
|     assert o == -7.403977394104004 | ||||
|     assert o == -7.033305644989014 | ||||
|     o = nlp.vocab[u'not'].prob | ||||
|     assert o == -5.407193660736084 | ||||
|     assert o == -5.332601070404053 | ||||
|     o = nlp.vocab[u'quietly'].prob | ||||
|     assert o == -11.07155704498291 | ||||
|     assert o == -11.994928359985352 | ||||
| 
 | ||||
| 
 | ||||
| @pytest.mark.models | ||||
|  | @ -35,14 +35,6 @@ def test2(): | |||
|     o = u''.join(tok.string.upper() if is_adverb(tok) else tok.string for tok in tokens) | ||||
|     o == u'‘Give it back,’ he pleaded ABJECTLY, ‘it’s mine.’' | ||||
| 
 | ||||
|     nlp.vocab[u'back'].prob | ||||
|     -7.033305644989014 | ||||
|     nlp.vocab[u'not'].prob | ||||
|     -5.332601070404053 | ||||
|     nlp.vocab[u'quietly'].prob | ||||
|     -11.994928359985352 | ||||
| 
 | ||||
| 
 | ||||
| @pytest.mark.models | ||||
| def test3(): | ||||
|     import spacy.en | ||||
|  |  | |||
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