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52 lines
1.3 KiB
Python
52 lines
1.3 KiB
Python
from __future__ import unicode_literals
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import pytest
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from spacy.strings import StringStore
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from spacy.matcher import *
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from spacy.attrs import ORTH
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from spacy.tokens.doc import Doc
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from spacy.vocab import Vocab
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@pytest.fixture
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def matcher(EN):
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specs = []
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for string in ['JavaScript', 'Google Now', 'Java']:
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spec = []
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for orth_ in string.split():
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spec.append([(ORTH, EN.vocab.strings[orth_])])
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specs.append((spec, EN.vocab.strings['product']))
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return Matcher(specs)
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def test_compile(matcher):
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assert matcher.n_patterns == 3
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def test_no_match(matcher, EN):
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tokens = EN('I like cheese')
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assert matcher(tokens) == []
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def test_match_start(matcher, EN):
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tokens = EN('JavaScript is good')
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assert matcher(tokens) == [(EN.vocab.strings['product'], 0, 1)]
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def test_match_end(matcher, EN):
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tokens = EN('I like Java')
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assert matcher(tokens) == [(EN.vocab.strings['product'], 2, 3)]
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def test_match_middle(matcher, EN):
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tokens = EN('I like Google Now best')
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assert matcher(tokens) == [(EN.vocab.strings['product'], 2, 4)]
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def test_match_multi(matcher, EN):
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tokens = EN('I like Google Now and Java best')
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assert matcher(tokens) == [(EN.vocab.strings['product'], 2, 4),
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(EN.vocab.strings['product'], 5, 6)]
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def test_dummy():
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pass
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