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			126 lines
		
	
	
		
			3.8 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			126 lines
		
	
	
		
			3.8 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
# coding: utf-8
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from __future__ import unicode_literals
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from ...matcher import Matcher, PhraseMatcher
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from ..util import get_doc
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import pytest
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@pytest.fixture
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def matcher(en_vocab):
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    patterns = {
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        'JS':        ['PRODUCT', {}, [[{'ORTH': 'JavaScript'}]]],
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        'GoogleNow': ['PRODUCT', {}, [[{'ORTH': 'Google'}, {'ORTH': 'Now'}]]],
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        'Java':      ['PRODUCT', {}, [[{'LOWER': 'java'}]]]
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    }
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    return Matcher(en_vocab, patterns)
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@pytest.mark.parametrize('words', [["Some", "words"]])
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def test_matcher_init(en_vocab, words):
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    matcher = Matcher(en_vocab)
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    doc = get_doc(en_vocab, words)
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    assert matcher.n_patterns == 0
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    assert matcher(doc) == []
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def test_matcher_no_match(matcher):
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    words = ["I", "like", "cheese", "."]
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    doc = get_doc(matcher.vocab, words)
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    assert matcher(doc) == []
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def test_matcher_compile(matcher):
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    assert matcher.n_patterns == 3
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def test_matcher_match_start(matcher):
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    words = ["JavaScript", "is", "good"]
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    doc = get_doc(matcher.vocab, words)
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    assert matcher(doc) == [(matcher.vocab.strings['JS'],
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                             matcher.vocab.strings['PRODUCT'], 0, 1)]
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def test_matcher_match_end(matcher):
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    words = ["I", "like", "java"]
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    doc = get_doc(matcher.vocab, words)
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    assert matcher(doc) == [(doc.vocab.strings['Java'],
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                             doc.vocab.strings['PRODUCT'], 2, 3)]
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def test_matcher_match_middle(matcher):
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    words = ["I", "like", "Google", "Now", "best"]
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    doc = get_doc(matcher.vocab, words)
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    assert matcher(doc) == [(doc.vocab.strings['GoogleNow'],
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                             doc.vocab.strings['PRODUCT'], 2, 4)]
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def test_matcher_match_multi(matcher):
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    words = ["I", "like", "Google", "Now", "and", "java", "best"]
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    doc = get_doc(matcher.vocab, words)
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    assert matcher(doc) == [(doc.vocab.strings['GoogleNow'],
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                             doc.vocab.strings['PRODUCT'], 2, 4),
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                            (doc.vocab.strings['Java'],
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                             doc.vocab.strings['PRODUCT'], 5, 6)]
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def test_matcher_phrase_matcher(en_vocab):
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    words = ["Google", "Now"]
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    doc = get_doc(en_vocab, words)
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    matcher = PhraseMatcher(en_vocab, [doc])
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    words = ["I", "like", "Google", "Now", "best"]
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    doc = get_doc(en_vocab, words)
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    assert len(matcher(doc)) == 1
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def test_matcher_match_zero(matcher):
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    words1 = 'He said , " some words " ...'.split()
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    words2 = 'He said , " some three words " ...'.split()
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    pattern1 = [{'ORTH': '"'},
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                {'OP': '!', 'IS_PUNCT': True},
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                {'OP': '!', 'IS_PUNCT': True},
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                {'ORTH': '"'}]
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    pattern2 = [{'ORTH': '"'},
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                {'IS_PUNCT': True},
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                {'IS_PUNCT': True},
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                {'IS_PUNCT': True},
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                {'ORTH': '"'}]
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    matcher.add('Quote', '', {}, [pattern1])
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    doc = get_doc(matcher.vocab, words1)
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    assert len(matcher(doc)) == 1
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    doc = get_doc(matcher.vocab, words2)
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    assert len(matcher(doc)) == 0
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    matcher.add('Quote', '', {}, [pattern2])
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    assert len(matcher(doc)) == 0
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def test_matcher_match_zero_plus(matcher):
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    words = 'He said , " some words " ...'.split()
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    pattern = [{'ORTH': '"'},
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               {'OP': '*', 'IS_PUNCT': False},
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               {'ORTH': '"'}]
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    matcher.add('Quote', '', {}, [pattern])
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    doc = get_doc(matcher.vocab, words)
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    assert len(matcher(doc)) == 1
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def test_matcher_match_one_plus(matcher):
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    control = Matcher(matcher.vocab)
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    control.add_pattern('BasicPhilippe',
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            [{'ORTH': 'Philippe'}], label=321)
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    doc = get_doc(control.vocab, ['Philippe', 'Philippe'])
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    m = control(doc)
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    assert len(m) == 2
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    matcher.add_pattern('KleenePhilippe',
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        [
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            {'ORTH': 'Philippe', 'OP': '1'},
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            {'ORTH': 'Philippe', 'OP': '+'}], label=321)
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    m = matcher(doc)
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    assert len(m) == 1
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