mirror of
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53 lines
1.3 KiB
Python
53 lines
1.3 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 spacy.attrs import LEMMA, ORTH, PROB, IS_ALPHA
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from spacy.parts_of_speech import NOUN, VERB
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@pytest.mark.parametrize(
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"text1,text2", [("Hello", "bye"), ("Hello", "hello"), ("Hello", "Hello,")]
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)
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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(
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"string,symbol",
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[
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("IS_ALPHA", IS_ALPHA),
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("NOUN", NOUN),
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("VERB", VERB),
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("LEMMA", LEMMA),
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("ORTH", ORTH),
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("PROB", PROB),
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],
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)
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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] # noqa: F841
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assert text in en_vocab
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assert "LKsdjvlsakdvlaksdvlkasjdvljasdlkfvm" not in en_vocab
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def test_vocab_writing_system(en_vocab):
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assert en_vocab.writing_system["direction"] == "ltr"
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assert en_vocab.writing_system["has_case"] is True
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