spaCy/spacy/tests/test_matcher.py
2018-02-23 23:53:48 +01:00

274 lines
8.6 KiB
Python

# coding: utf-8
from __future__ import unicode_literals
from ..matcher import Matcher, PhraseMatcher
from .util import get_doc
from ..util import get_lang_class
from ..tokens import Doc
import pytest
@pytest.fixture(scope="session")
def en_vocab():
return get_lang_class('en').Defaults.create_vocab()
@pytest.fixture(scope="session")
def matcher(en_vocab):
rules = {
'JS': [[{'ORTH': 'JavaScript'}]],
'GoogleNow': [[{'ORTH': 'Google'}, {'ORTH': 'Now'}]],
'Java': [[{'LOWER': 'java'}]]
}
matcher = Matcher(en_vocab)
for key, patterns in rules.items():
matcher.add(key, None, *patterns)
return matcher
#def test_matcher_from_api_docs(en_vocab):
# matcher = Matcher(en_vocab)
# pattern = [{'ORTH': 'test'}]
# assert len(matcher) == 0
# matcher.add('Rule', None, pattern)
# assert len(matcher) == 1
# matcher.remove('Rule')
# assert 'Rule' not in matcher
# matcher.add('Rule', None, pattern)
# assert 'Rule' in matcher
# on_match, patterns = matcher.get('Rule')
# assert len(patterns[0])
#
#
#def test_matcher_from_usage_docs(en_vocab):
# text = "Wow 😀 This is really cool! 😂 😂"
# doc = get_doc(en_vocab, words=text.split(' '))
# pos_emoji = [u'😀', u'😃', u'😂', u'🤣', u'😊', u'😍']
# pos_patterns = [[{'ORTH': emoji}] for emoji in pos_emoji]
#
# def label_sentiment(matcher, doc, i, matches):
# match_id, start, end = matches[i]
# if doc.vocab.strings[match_id] == 'HAPPY':
# doc.sentiment += 0.1
# span = doc[start : end]
# token = span.merge()
# token.vocab[token.text].norm_ = 'happy emoji'
#
# matcher = Matcher(en_vocab)
# matcher.add('HAPPY', label_sentiment, *pos_patterns)
# matches = matcher(doc)
# assert doc.sentiment != 0
# assert doc[1].norm_ == 'happy emoji'
#@pytest.mark.parametrize('words', [["Some", "words"]])
#def test_matcher_init(en_vocab, words):
# matcher = Matcher(en_vocab)
# doc = get_doc(en_vocab, words)
# assert len(matcher) == 0
# assert matcher(doc) == []
#
#
#def test_matcher_contains(matcher):
# matcher.add('TEST', None, [{'ORTH': 'test'}])
# assert 'TEST' in matcher
# assert 'TEST2' not in matcher
#
#
#def test_matcher_no_match(matcher):
# words = ["I", "like", "cheese", "."]
# doc = get_doc(matcher.vocab, words)
# assert matcher(doc) == []
#
#
#def test_matcher_compile(en_vocab):
# rules = {
# 'JS': [[{'ORTH': 'JavaScript'}]],
# 'GoogleNow': [[{'ORTH': 'Google'}, {'ORTH': 'Now'}]],
# 'Java': [[{'LOWER': 'java'}]]
# }
# matcher = Matcher(en_vocab)
# for key, patterns in rules.items():
# matcher.add(key, None, *patterns)
# assert len(matcher) == 3
#
#
#def test_matcher_match_start(matcher):
# words = ["JavaScript", "is", "good"]
# doc = get_doc(matcher.vocab, words)
# assert matcher(doc) == [(matcher.vocab.strings['JS'], 0, 1)]
#
#
#def test_matcher_match_end(matcher):
# words = ["I", "like", "java"]
# doc = get_doc(matcher.vocab, words)
# assert matcher(doc) == [(doc.vocab.strings['Java'], 2, 3)]
#
#
#def test_matcher_match_middle(matcher):
# words = ["I", "like", "Google", "Now", "best"]
# doc = get_doc(matcher.vocab, words)
# assert matcher(doc) == [(doc.vocab.strings['GoogleNow'], 2, 4)]
#
#
#def test_matcher_match_multi(matcher):
# words = ["I", "like", "Google", "Now", "and", "java", "best"]
# doc = get_doc(matcher.vocab, words)
# assert matcher(doc) == [(doc.vocab.strings['GoogleNow'], 2, 4),
# (doc.vocab.strings['Java'], 5, 6)]
#
#
#def test_matcher_empty_dict(en_vocab):
# '''Test matcher allows empty token specs, meaning match on any token.'''
# matcher = Matcher(en_vocab)
# abc = ["a", "b", "c"]
# doc = get_doc(matcher.vocab, abc)
# matcher.add('A.C', None, [{'ORTH': 'a'}, {}, {'ORTH': 'c'}])
# matches = matcher(doc)
# assert len(matches) == 1
# assert matches[0][1:] == (0, 3)
# matcher = Matcher(en_vocab)
# matcher.add('A.', None, [{'ORTH': 'a'}, {}])
# matches = matcher(doc)
# assert matches[0][1:] == (0, 2)
#
#
#def test_matcher_operator_shadow(en_vocab):
# matcher = Matcher(en_vocab)
# abc = ["a", "b", "c"]
# doc = get_doc(matcher.vocab, abc)
# matcher.add('A.C', None, [{'ORTH': 'a'},
# {"IS_ALPHA": True, "OP": "+"},
# {'ORTH': 'c'}])
# matches = matcher(doc)
# assert len(matches) == 1
# assert matches[0][1:] == (0, 3)
#
#
#def test_matcher_phrase_matcher(en_vocab):
# words = ["Google", "Now"]
# doc = get_doc(en_vocab, words)
# matcher = PhraseMatcher(en_vocab)
# matcher.add('COMPANY', None, doc)
# words = ["I", "like", "Google", "Now", "best"]
# doc = get_doc(en_vocab, words)
# assert len(matcher(doc)) == 1
#
#
#def test_phrase_matcher_length(en_vocab):
# matcher = PhraseMatcher(en_vocab)
# assert len(matcher) == 0
# matcher.add('TEST', None, get_doc(en_vocab, ['test']))
# assert len(matcher) == 1
# matcher.add('TEST2', None, get_doc(en_vocab, ['test2']))
# assert len(matcher) == 2
#
#
#def test_phrase_matcher_contains(en_vocab):
# matcher = PhraseMatcher(en_vocab)
# matcher.add('TEST', None, get_doc(en_vocab, ['test']))
# assert 'TEST' in matcher
# assert 'TEST2' not in matcher
#
#
#def test_matcher_match_zero(matcher):
# words1 = 'He said , " some words " ...'.split()
# words2 = 'He said , " some three words " ...'.split()
# pattern1 = [{'ORTH': '"'},
# {'OP': '!', 'IS_PUNCT': True},
# {'OP': '!', 'IS_PUNCT': True},
# {'ORTH': '"'}]
# pattern2 = [{'ORTH': '"'},
# {'IS_PUNCT': True},
# {'IS_PUNCT': True},
# {'IS_PUNCT': True},
# {'ORTH': '"'}]
#
# matcher.add('Quote', None, pattern1)
# doc = get_doc(matcher.vocab, words1)
# assert len(matcher(doc)) == 1
#
# doc = get_doc(matcher.vocab, words2)
# assert len(matcher(doc)) == 0
# matcher.add('Quote', None, pattern2)
# assert len(matcher(doc)) == 0
#
#
#def test_matcher_match_zero_plus(matcher):
# words = 'He said , " some words " ...'.split()
# pattern = [{'ORTH': '"'},
# {'OP': '*', 'IS_PUNCT': False},
# {'ORTH': '"'}]
# matcher = Matcher(matcher.vocab)
# matcher.add('Quote', None, pattern)
# doc = get_doc(matcher.vocab, words)
# assert len(matcher(doc)) == 1
#
#
#def test_matcher_match_one_plus(matcher):
# control = Matcher(matcher.vocab)
# control.add('BasicPhilippe', None, [{'ORTH': 'Philippe'}])
# doc = get_doc(control.vocab, ['Philippe', 'Philippe'])
# m = control(doc)
# assert len(m) == 2
# matcher.add('KleenePhilippe', None, [{'ORTH': 'Philippe', 'OP': '1'},
# {'ORTH': 'Philippe', 'OP': '+'}])
# m = matcher(doc)
# assert len(m) == 1
#
def test_operator_combos(matcher):
cases = [
('aaab', 'a a a b', True),
('aaab', 'a+ b', True),
('aaab', 'a+ a+ b', True),
('aaab', 'a+ a+ a b', True),
('aaab', 'a+ a+ a+ b', True),
('aaab', 'a+ a a b', True),
('aaab', 'a+ a a', True),
('aaab', 'a+', True),
('aaa', 'a+ b', False),
('aaa', 'a+ a+ b', False),
('aaa', 'a+ a+ a+ b', False),
('aaa', 'a+ a b', False),
('aaa', 'a+ a a b', False),
('aaab', 'a+ a a', True),
('aaab', 'a+', True),
('aaab', 'a+ a b', True),
]
for string, pattern_str, result in cases:
matcher = Matcher(matcher.vocab)
doc = get_doc(matcher.vocab, words=list(string))
pattern = []
for part in pattern_str.split():
if part.endswith('+'):
pattern.append({'ORTH': part[0], 'op': '+'})
else:
pattern.append({'ORTH': part})
matcher.add('PATTERN', None, pattern)
matches = matcher(doc)
if result:
assert matches, (string, pattern_str)
else:
assert not matches, (string, pattern_str)
def test_matcher_end_zero_plus(matcher):
'''Test matcher works when patterns end with * operator. (issue 1450)'''
matcher = Matcher(matcher.vocab)
matcher.add(
"TSTEND",
None,
[
{'ORTH': "a"},
{'ORTH': "b", 'OP': "*"}
]
)
nlp = lambda string: Doc(matcher.vocab, words=string.split())
assert len(matcher(nlp(u'a'))) == 1
assert len(matcher(nlp(u'a b'))) == 2
assert len(matcher(nlp(u'a c'))) == 1
assert len(matcher(nlp(u'a b c'))) == 2
assert len(matcher(nlp(u'a b b c'))) == 3
assert len(matcher(nlp(u'a b b'))) == 3