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