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https://github.com/explosion/spaCy.git
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7d50804644
* Migrate regressions 1-1000 * Move serialize test to correct file * Remove tests that won't work in v3 * Migrate regressions 1000-1500 Removed regression test 1250 because v3 doesn't support the old LEX scheme anymore. * Add missing imports in serializer tests * Migrate tests 1500-2000 * Migrate regressions from 2000-2500 * Migrate regressions from 2501-3000 * Migrate regressions from 3000-3501 * Migrate regressions from 3501-4000 * Migrate regressions from 4001-4500 * Migrate regressions from 4501-5000 * Migrate regressions from 5001-5501 * Migrate regressions from 5501 to 7000 * Migrate regressions from 7001 to 8000 * Migrate remaining regression tests * Fixing missing imports * Update docs with new system [ci skip] * Update CONTRIBUTING.md - Fix formatting - Update wording * Remove lemmatizer tests in el lang * Move a few tests into the general tokenizer * Separate Doc and DocBin tests
84 lines
2.8 KiB
Python
84 lines
2.8 KiB
Python
import numpy
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import pytest
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from spacy.attrs import IS_ALPHA, IS_DIGIT
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from spacy.lookups import Lookups
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from spacy.tokens import Doc
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from spacy.util import OOV_RANK
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from spacy.vocab import Vocab
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@pytest.mark.issue(361)
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@pytest.mark.parametrize("text1,text2", [("cat", "dog")])
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def test_issue361(en_vocab, text1, text2):
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"""Test Issue #361: Equality of lexemes"""
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assert en_vocab[text1] == en_vocab[text1]
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assert en_vocab[text1] != en_vocab[text2]
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@pytest.mark.issue(600)
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def test_issue600():
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vocab = Vocab(tag_map={"NN": {"pos": "NOUN"}})
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doc = Doc(vocab, words=["hello"])
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doc[0].tag_ = "NN"
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@pytest.mark.parametrize("text1,prob1,text2,prob2", [("NOUN", -1, "opera", -2)])
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def test_vocab_lexeme_lt(en_vocab, text1, text2, prob1, prob2):
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"""More frequent is l.t. less frequent"""
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lex1 = en_vocab[text1]
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lex1.prob = prob1
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lex2 = en_vocab[text2]
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lex2.prob = prob2
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assert lex1 < lex2
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assert lex2 > lex1
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@pytest.mark.parametrize("text1,text2", [("phantom", "opera")])
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def test_vocab_lexeme_hash(en_vocab, text1, text2):
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"""Test that lexemes are hashable."""
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lex1 = en_vocab[text1]
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lex2 = en_vocab[text2]
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lexes = {lex1: lex1, lex2: lex2}
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assert lexes[lex1].orth_ == text1
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assert lexes[lex2].orth_ == text2
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def test_vocab_lexeme_is_alpha(en_vocab):
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assert en_vocab["the"].flags & (1 << IS_ALPHA)
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assert not en_vocab["1999"].flags & (1 << IS_ALPHA)
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assert not en_vocab["hello1"].flags & (1 << IS_ALPHA)
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def test_vocab_lexeme_is_digit(en_vocab):
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assert not en_vocab["the"].flags & (1 << IS_DIGIT)
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assert en_vocab["1999"].flags & (1 << IS_DIGIT)
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assert not en_vocab["hello1"].flags & (1 << IS_DIGIT)
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def test_vocab_lexeme_add_flag_auto_id(en_vocab):
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is_len4 = en_vocab.add_flag(lambda string: len(string) == 4)
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assert en_vocab["1999"].check_flag(is_len4) is True
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assert en_vocab["1999"].check_flag(IS_DIGIT) is True
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assert en_vocab["199"].check_flag(is_len4) is False
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assert en_vocab["199"].check_flag(IS_DIGIT) is True
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assert en_vocab["the"].check_flag(is_len4) is False
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assert en_vocab["dogs"].check_flag(is_len4) is True
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def test_vocab_lexeme_add_flag_provided_id(en_vocab):
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is_len4 = en_vocab.add_flag(lambda string: len(string) == 4, flag_id=IS_DIGIT)
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assert en_vocab["1999"].check_flag(is_len4) is True
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assert en_vocab["199"].check_flag(is_len4) is False
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assert en_vocab["199"].check_flag(IS_DIGIT) is False
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assert en_vocab["the"].check_flag(is_len4) is False
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assert en_vocab["dogs"].check_flag(is_len4) is True
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en_vocab.add_flag(lambda string: string.isdigit(), flag_id=IS_DIGIT)
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def test_vocab_lexeme_oov_rank(en_vocab):
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"""Test that default rank is OOV_RANK."""
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lex = en_vocab["word"]
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assert OOV_RANK == numpy.iinfo(numpy.uint64).max
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assert lex.rank == OOV_RANK
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