mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-11 12:18:04 +03:00
108 lines
3.3 KiB
Python
108 lines
3.3 KiB
Python
# coding: utf-8
|
|
from __future__ import unicode_literals
|
|
|
|
from ...matcher import Matcher, PhraseMatcher
|
|
from ..util import get_doc
|
|
|
|
import pytest
|
|
|
|
|
|
@pytest.fixture
|
|
def matcher(en_vocab):
|
|
patterns = {
|
|
'JS': ['PRODUCT', {}, [[{'ORTH': 'JavaScript'}]]],
|
|
'GoogleNow': ['PRODUCT', {}, [[{'ORTH': 'Google'}, {'ORTH': 'Now'}]]],
|
|
'Java': ['PRODUCT', {}, [[{'LOWER': 'java'}]]]
|
|
}
|
|
return Matcher(en_vocab, patterns)
|
|
|
|
|
|
@pytest.mark.parametrize('words', [["Some", "words"]])
|
|
def test_matcher_init(en_vocab, words):
|
|
matcher = Matcher(en_vocab)
|
|
doc = get_doc(en_vocab, words)
|
|
assert matcher.n_patterns == 0
|
|
assert matcher(doc) == []
|
|
|
|
|
|
def test_matcher_no_match(matcher):
|
|
words = ["I", "like", "cheese", "."]
|
|
doc = get_doc(matcher.vocab, words)
|
|
assert matcher(doc) == []
|
|
|
|
|
|
def test_matcher_compile(matcher):
|
|
assert matcher.n_patterns == 3
|
|
|
|
|
|
def test_matcher_match_start(matcher):
|
|
words = ["JavaScript", "is", "good"]
|
|
doc = get_doc(matcher.vocab, words)
|
|
assert matcher(doc) == [(matcher.vocab.strings['JS'],
|
|
matcher.vocab.strings['PRODUCT'], 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'],
|
|
doc.vocab.strings['PRODUCT'], 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'],
|
|
doc.vocab.strings['PRODUCT'], 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'],
|
|
doc.vocab.strings['PRODUCT'], 2, 4),
|
|
(doc.vocab.strings['Java'],
|
|
doc.vocab.strings['PRODUCT'], 5, 6)]
|
|
|
|
|
|
def test_matcher_phrase_matcher(en_vocab):
|
|
words = ["Google", "Now"]
|
|
doc = get_doc(en_vocab, words)
|
|
matcher = PhraseMatcher(en_vocab, [doc])
|
|
words = ["I", "like", "Google", "Now", "best"]
|
|
doc = get_doc(en_vocab, words)
|
|
assert len(matcher(doc)) == 1
|
|
|
|
|
|
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', '', {}, [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', '', {}, [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.add('Quote', '', {}, [pattern])
|
|
doc = get_doc(matcher.vocab, words)
|
|
assert len(matcher(doc)) == 1
|