mirror of
https://github.com/explosion/spaCy.git
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274 lines
8.6 KiB
Python
274 lines
8.6 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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from ..util import get_lang_class
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from ..tokens import Doc
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import pytest
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@pytest.fixture(scope="session")
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def en_vocab():
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return get_lang_class('en').Defaults.create_vocab()
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@pytest.fixture(scope="session")
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def matcher(en_vocab):
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rules = {
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'JS': [[{'ORTH': 'JavaScript'}]],
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'GoogleNow': [[{'ORTH': 'Google'}, {'ORTH': 'Now'}]],
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'Java': [[{'LOWER': 'java'}]]
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}
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matcher = Matcher(en_vocab)
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for key, patterns in rules.items():
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matcher.add(key, None, *patterns)
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return matcher
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#def test_matcher_from_api_docs(en_vocab):
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# matcher = Matcher(en_vocab)
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# pattern = [{'ORTH': 'test'}]
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# assert len(matcher) == 0
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# matcher.add('Rule', None, pattern)
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# assert len(matcher) == 1
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# matcher.remove('Rule')
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# assert 'Rule' not in matcher
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# matcher.add('Rule', None, pattern)
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# assert 'Rule' in matcher
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# on_match, patterns = matcher.get('Rule')
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# assert len(patterns[0])
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#
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#
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#def test_matcher_from_usage_docs(en_vocab):
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# text = "Wow 😀 This is really cool! 😂 😂"
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# doc = get_doc(en_vocab, words=text.split(' '))
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# pos_emoji = [u'😀', u'😃', u'😂', u'🤣', u'😊', u'😍']
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# pos_patterns = [[{'ORTH': emoji}] for emoji in pos_emoji]
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#
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# def label_sentiment(matcher, doc, i, matches):
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# match_id, start, end = matches[i]
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# if doc.vocab.strings[match_id] == 'HAPPY':
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# doc.sentiment += 0.1
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# span = doc[start : end]
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# token = span.merge()
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# token.vocab[token.text].norm_ = 'happy emoji'
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#
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# matcher = Matcher(en_vocab)
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# matcher.add('HAPPY', label_sentiment, *pos_patterns)
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# matches = matcher(doc)
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# assert doc.sentiment != 0
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# assert doc[1].norm_ == 'happy emoji'
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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 len(matcher) == 0
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# assert matcher(doc) == []
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#
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#
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#def test_matcher_contains(matcher):
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# matcher.add('TEST', None, [{'ORTH': 'test'}])
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# assert 'TEST' in matcher
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# assert 'TEST2' not in matcher
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#
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#
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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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#
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#
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#def test_matcher_compile(en_vocab):
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# rules = {
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# 'JS': [[{'ORTH': 'JavaScript'}]],
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# 'GoogleNow': [[{'ORTH': 'Google'}, {'ORTH': 'Now'}]],
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# 'Java': [[{'LOWER': 'java'}]]
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# }
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# matcher = Matcher(en_vocab)
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# for key, patterns in rules.items():
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# matcher.add(key, None, *patterns)
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# assert len(matcher) == 3
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#
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#
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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'], 0, 1)]
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#
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#
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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'], 2, 3)]
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#
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#
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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'], 2, 4)]
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#
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#
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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'], 2, 4),
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# (doc.vocab.strings['Java'], 5, 6)]
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#
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#
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#def test_matcher_empty_dict(en_vocab):
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# '''Test matcher allows empty token specs, meaning match on any token.'''
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# matcher = Matcher(en_vocab)
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# abc = ["a", "b", "c"]
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# doc = get_doc(matcher.vocab, abc)
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# matcher.add('A.C', None, [{'ORTH': 'a'}, {}, {'ORTH': 'c'}])
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# matches = matcher(doc)
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# assert len(matches) == 1
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# assert matches[0][1:] == (0, 3)
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# matcher = Matcher(en_vocab)
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# matcher.add('A.', None, [{'ORTH': 'a'}, {}])
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# matches = matcher(doc)
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# assert matches[0][1:] == (0, 2)
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#
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#
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#def test_matcher_operator_shadow(en_vocab):
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# matcher = Matcher(en_vocab)
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# abc = ["a", "b", "c"]
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# doc = get_doc(matcher.vocab, abc)
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# matcher.add('A.C', None, [{'ORTH': 'a'},
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# {"IS_ALPHA": True, "OP": "+"},
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# {'ORTH': 'c'}])
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# matches = matcher(doc)
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# assert len(matches) == 1
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# assert matches[0][1:] == (0, 3)
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#
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#
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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)
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# matcher.add('COMPANY', None, 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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#
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#
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#def test_phrase_matcher_length(en_vocab):
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# matcher = PhraseMatcher(en_vocab)
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# assert len(matcher) == 0
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# matcher.add('TEST', None, get_doc(en_vocab, ['test']))
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# assert len(matcher) == 1
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# matcher.add('TEST2', None, get_doc(en_vocab, ['test2']))
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# assert len(matcher) == 2
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#
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#
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#def test_phrase_matcher_contains(en_vocab):
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# matcher = PhraseMatcher(en_vocab)
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# matcher.add('TEST', None, get_doc(en_vocab, ['test']))
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# assert 'TEST' in matcher
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# assert 'TEST2' not in matcher
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#
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#
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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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#
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# matcher.add('Quote', None, pattern1)
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# doc = get_doc(matcher.vocab, words1)
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# assert len(matcher(doc)) == 1
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#
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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', None, pattern2)
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# assert len(matcher(doc)) == 0
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#
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#
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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 = Matcher(matcher.vocab)
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# matcher.add('Quote', None, pattern)
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# doc = get_doc(matcher.vocab, words)
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# assert len(matcher(doc)) == 1
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#
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#
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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('BasicPhilippe', None, [{'ORTH': 'Philippe'}])
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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('KleenePhilippe', None, [{'ORTH': 'Philippe', 'OP': '1'},
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# {'ORTH': 'Philippe', 'OP': '+'}])
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# m = matcher(doc)
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# assert len(m) == 1
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#
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def test_operator_combos(matcher):
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cases = [
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('aaab', 'a a a b', True),
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('aaab', 'a+ b', True),
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('aaab', 'a+ a+ b', True),
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('aaab', 'a+ a+ a b', True),
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('aaab', 'a+ a+ a+ b', True),
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('aaab', 'a+ a a b', True),
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('aaab', 'a+ a a', True),
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('aaab', 'a+', True),
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('aaa', 'a+ b', False),
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('aaa', 'a+ a+ b', False),
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('aaa', 'a+ a+ a+ b', False),
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('aaa', 'a+ a b', False),
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('aaa', 'a+ a a b', False),
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('aaab', 'a+ a a', True),
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('aaab', 'a+', True),
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('aaab', 'a+ a b', True),
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]
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for string, pattern_str, result in cases:
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matcher = Matcher(matcher.vocab)
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doc = get_doc(matcher.vocab, words=list(string))
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pattern = []
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for part in pattern_str.split():
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if part.endswith('+'):
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pattern.append({'ORTH': part[0], 'op': '+'})
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else:
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pattern.append({'ORTH': part})
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matcher.add('PATTERN', None, pattern)
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matches = matcher(doc)
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if result:
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assert matches, (string, pattern_str)
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else:
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assert not matches, (string, pattern_str)
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def test_matcher_end_zero_plus(matcher):
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'''Test matcher works when patterns end with * operator. (issue 1450)'''
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matcher = Matcher(matcher.vocab)
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matcher.add(
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"TSTEND",
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None,
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[
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{'ORTH': "a"},
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{'ORTH': "b", 'OP': "*"}
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]
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)
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nlp = lambda string: Doc(matcher.vocab, words=string.split())
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assert len(matcher(nlp(u'a'))) == 1
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assert len(matcher(nlp(u'a b'))) == 2
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assert len(matcher(nlp(u'a c'))) == 1
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assert len(matcher(nlp(u'a b c'))) == 2
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assert len(matcher(nlp(u'a b b c'))) == 3
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assert len(matcher(nlp(u'a b b'))) == 3
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