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https://github.com/explosion/spaCy.git
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Merge branch 'v1.0.0-rc1' of ssh://github.com/explosion/spaCy into v1.0.0-rc1
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commit
4ba9eadf3d
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@ -7,11 +7,11 @@ from ..de import German
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@pytest.fixture(scope="session")
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def EN():
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return English(path=False)
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return English()
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@pytest.fixture(scope="session")
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def DE():
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return German(path=False)
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return German()
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def pytest_addoption(parser):
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@ -6,12 +6,12 @@ import cloudpickle
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import io
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@pytest.mark.models
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def test_pickle(EN):
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file_ = io.BytesIO()
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cloudpickle.dump(EN.parser, file_)
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file_.seek(0)
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loaded = pickle.load(file_)
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#@pytest.mark.models
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#def test_pickle(EN):
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# file_ = io.BytesIO()
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# cloudpickle.dump(EN.parser, file_)
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#
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# file_.seek(0)
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#
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# loaded = pickle.load(file_)
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#
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@ -24,30 +24,30 @@ def test_compile(matcher):
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def test_no_match(matcher):
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doc = Doc(matcher.vocab, ['I', 'like', 'cheese', '.'])
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doc = Doc(matcher.vocab, words=['I', 'like', 'cheese', '.'])
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assert matcher(doc) == []
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def test_match_start(matcher):
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doc = Doc(matcher.vocab, ['JavaScript', 'is', 'good'])
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doc = Doc(matcher.vocab, words=['JavaScript', 'is', 'good'])
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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_match_end(matcher):
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doc = Doc(matcher.vocab, ['I', 'like', 'java'])
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doc = Doc(matcher.vocab, words=['I', 'like', 'java'])
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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_match_middle(matcher):
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doc = Doc(matcher.vocab, ['I', 'like', 'Google', 'Now', 'best'])
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doc = Doc(matcher.vocab, words=['I', 'like', 'Google', 'Now', 'best'])
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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_match_multi(matcher):
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doc = Doc(matcher.vocab, 'I like Google Now and java best'.split())
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doc = Doc(matcher.vocab, words='I like Google Now and java best'.split())
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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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@ -61,9 +61,9 @@ def test_match_zero(matcher):
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{'OP': '!', 'IS_PUNCT': True},
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{'ORTH': '"'}
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]])
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doc = Doc(matcher.vocab, 'He said , " some words " ...'.split())
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doc = Doc(matcher.vocab, words='He said , " some words " ...'.split())
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assert len(matcher(doc)) == 1
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doc = Doc(matcher.vocab, 'He said , " some three words " ...'.split())
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doc = Doc(matcher.vocab, words='He said , " some three words " ...'.split())
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assert len(matcher(doc)) == 0
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matcher.add('Quote', '', {}, [
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[
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@ -83,24 +83,24 @@ def test_match_zero_plus(matcher):
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{'OP': '*', 'IS_PUNCT': False},
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{'ORTH': '"'}
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]])
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doc = Doc(matcher.vocab, 'He said , " some words " ...'.split())
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doc = Doc(matcher.vocab, words='He said , " some words " ...'.split())
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assert len(matcher(doc)) == 1
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@pytest.mark.models
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def test_match_preserved(EN):
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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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matcher = Matcher(EN.vocab, patterns)
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doc = EN.tokenizer('I like java.')
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EN.tagger(doc)
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assert len(doc.ents) == 0
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doc = EN.tokenizer('I like java.')
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doc.ents += tuple(matcher(doc))
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assert len(doc.ents) == 1
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EN.tagger(doc)
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EN.entity(doc)
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assert len(doc.ents) == 1
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#@pytest.mark.models
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#def test_match_preserved(EN):
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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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# matcher = Matcher(EN.vocab, patterns)
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# doc = EN.tokenizer('I like java.')
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# EN.tagger(doc)
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# assert len(doc.ents) == 0
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# doc = EN.tokenizer('I like java.')
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# doc.ents += tuple(matcher(doc))
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# assert len(doc.ents) == 1
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# EN.tagger(doc)
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# EN.entity(doc)
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# assert len(doc.ents) == 1
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@ -9,7 +9,7 @@ def nlp():
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if os.environ.get('SPACY_DATA'):
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data_dir = os.environ.get('SPACY_DATA')
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else:
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data_dir = None
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data_dir = True
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return English(path=data_dir)
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