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72 lines
2.3 KiB
Python
72 lines
2.3 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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import pytest
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from ...util import get_doc
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def test_ru_doc_lemmatization(ru_tokenizer):
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words = ["мама", "мыла", "раму"]
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tags = [
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"NOUN__Animacy=Anim|Case=Nom|Gender=Fem|Number=Sing",
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"VERB__Aspect=Imp|Gender=Fem|Mood=Ind|Number=Sing|Tense=Past|VerbForm=Fin|Voice=Act",
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"NOUN__Animacy=Anim|Case=Acc|Gender=Fem|Number=Sing",
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]
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doc = get_doc(ru_tokenizer.vocab, words=words, tags=tags)
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lemmas = [token.lemma_ for token in doc]
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assert lemmas == ["мама", "мыть", "рама"]
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@pytest.mark.parametrize(
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"text,lemmas",
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[
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("гвоздики", ["гвоздик", "гвоздика"]),
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("люди", ["человек"]),
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("реки", ["река"]),
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("кольцо", ["кольцо"]),
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("пепперони", ["пепперони"]),
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],
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)
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def test_ru_lemmatizer_noun_lemmas(ru_lemmatizer, text, lemmas):
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assert sorted(ru_lemmatizer.noun(text)) == lemmas
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@pytest.mark.parametrize(
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"text,pos,morphology,lemma",
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[
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("рой", "NOUN", None, "рой"),
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("рой", "VERB", None, "рыть"),
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("клей", "NOUN", None, "клей"),
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("клей", "VERB", None, "клеить"),
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("три", "NUM", None, "три"),
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("кос", "NOUN", {"Number": "Sing"}, "кос"),
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("кос", "NOUN", {"Number": "Plur"}, "коса"),
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("кос", "ADJ", None, "косой"),
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("потом", "NOUN", None, "пот"),
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("потом", "ADV", None, "потом"),
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],
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)
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def test_ru_lemmatizer_works_with_different_pos_homonyms(
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ru_lemmatizer, text, pos, morphology, lemma
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):
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assert ru_lemmatizer(text, pos, morphology) == [lemma]
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@pytest.mark.parametrize(
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"text,morphology,lemma",
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[
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("гвоздики", {"Gender": "Fem"}, "гвоздика"),
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("гвоздики", {"Gender": "Masc"}, "гвоздик"),
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("вина", {"Gender": "Fem"}, "вина"),
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("вина", {"Gender": "Neut"}, "вино"),
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],
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)
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def test_ru_lemmatizer_works_with_noun_homonyms(ru_lemmatizer, text, morphology, lemma):
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assert ru_lemmatizer.noun(text, morphology) == [lemma]
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def test_ru_lemmatizer_punct(ru_lemmatizer):
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assert ru_lemmatizer.punct("«") == ['"']
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assert ru_lemmatizer.punct("»") == ['"']
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