mirror of https://github.com/explosion/spaCy.git
40 lines
1.1 KiB
Python
40 lines
1.1 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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from ...attrs import LEMMA, ORTH, PROB, IS_ALPHA
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from ...parts_of_speech import NOUN, VERB
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import pytest
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@pytest.mark.parametrize('text1,text2', [
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("Hello", "bye"), ("Hello", "hello"), ("Hello", "Hello,")])
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def test_vocab_api_neq(en_vocab, text1, text2):
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assert en_vocab[text1].orth != en_vocab[text2].orth
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@pytest.mark.parametrize('text', "Hello")
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def test_vocab_api_eq(en_vocab, text):
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lex = en_vocab[text]
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assert en_vocab[text].orth == lex.orth
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@pytest.mark.parametrize('text', ["example"])
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def test_vocab_api_shape_attr(en_vocab, text):
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lex = en_vocab[text]
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assert lex.orth != lex.shape
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@pytest.mark.parametrize('string,symbol', [
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('IS_ALPHA', IS_ALPHA), ('NOUN', NOUN), ('VERB', VERB), ('LEMMA', LEMMA),
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('ORTH', ORTH), ('PROB', PROB)])
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def test_vocab_api_symbols(en_vocab, string, symbol):
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assert en_vocab.strings[string] == symbol
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@pytest.mark.parametrize('text', "Hello")
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def test_vocab_api_contains(en_vocab, text):
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_ = en_vocab[text]
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assert text in en_vocab
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assert "LKsdjvlsakdvlaksdvlkasjdvljasdlkfvm" not in en_vocab
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