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Fix lemmatizer tests
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@ -22,35 +22,37 @@ def test_doc_lemmatization(EN):
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("ring", ["ring"]),
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("axes", ["axis", "axe", "ax"])])
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def test_en_lemmatizer_noun_lemmas(en_lemmatizer, text, lemmas):
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assert en_lemmatizer.noun(text) == set(lemmas)
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assert en_lemmatizer.noun(text) == lemmas
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@pytest.mark.models('en')
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@pytest.mark.parametrize('text,lemmas', [("bleed", ["bleed"]),
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("feed", ["feed"]),
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("need", ["need"]),
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("ring", ["ring"]),
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("axes", ["axis", "axe", "ax"])])
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("ring", ["ring"])])
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def test_en_lemmatizer_noun_lemmas(en_lemmatizer, text, lemmas):
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assert en_lemmatizer.noun(text) == set(lemmas)
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# Cases like this are problematic -- not clear what we should do to resolve
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# ambiguity?
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# ("axes", ["ax", "axes", "axis"])])
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assert en_lemmatizer.noun(text) == lemmas
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@pytest.mark.xfail
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@pytest.mark.models('en')
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def test_en_lemmatizer_base_forms(en_lemmatizer):
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assert en_lemmatizer.noun('dive', {'number': 'sing'}) == set(['dive'])
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assert en_lemmatizer.noun('dive', {'number': 'plur'}) == set(['diva'])
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assert en_lemmatizer.noun('dive', {'number': 'sing'}) == ['dive']
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assert en_lemmatizer.noun('dive', {'number': 'plur'}) == ['diva']
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@pytest.mark.models('en')
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def test_en_lemmatizer_base_form_verb(en_lemmatizer):
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assert en_lemmatizer.verb('saw', {'verbform': 'past'}) == set(['see'])
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assert en_lemmatizer.verb('saw', {'verbform': 'past'}) == ['see']
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@pytest.mark.models('en')
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def test_en_lemmatizer_punct(en_lemmatizer):
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assert en_lemmatizer.punct('“') == set(['"'])
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assert en_lemmatizer.punct('“') == set(['"'])
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assert en_lemmatizer.punct('“') == ['"']
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assert en_lemmatizer.punct('“') == ['"']
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@pytest.mark.models('en')
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