2015-10-01 06:21:00 +00:00
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import pytest
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2016-01-19 18:23:16 +00:00
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import numpy
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2015-10-01 06:21:00 +00:00
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from spacy.matcher import Matcher
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2016-01-19 18:23:16 +00:00
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from spacy.attrs import ORTH, LOWER, ENT_IOB, ENT_TYPE
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from spacy.symbols import DATE
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2015-10-19 05:45:12 +00:00
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2015-10-01 06:21:00 +00:00
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def test_overlap_issue118(EN):
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'''Test a bug that arose from having overlapping matches'''
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doc = EN.tokenizer(u'how many points did lebron james score against the boston celtics last night')
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ORG = doc.vocab.strings['ORG']
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2015-10-19 05:45:12 +00:00
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matcher = Matcher(EN.vocab,
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{'BostonCeltics':
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('ORG', {},
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[
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[{LOWER: 'celtics'}],
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[{LOWER: 'boston'}, {LOWER: 'celtics'}],
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]
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)
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}
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)
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assert len(list(doc.ents)) == 0
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matches = matcher(doc)
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assert matches == [(ORG, 9, 11), (ORG, 10, 11)]
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ents = list(doc.ents)
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assert len(ents) == 1
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assert ents[0].label == ORG
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assert ents[0].start == 9
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assert ents[0].end == 11
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def test_overlap_reorder(EN):
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'''Test order dependence'''
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doc = EN.tokenizer(u'how many points did lebron james score against the boston celtics last night')
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ORG = doc.vocab.strings['ORG']
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matcher = Matcher(EN.vocab,
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{'BostonCeltics':
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('ORG', {},
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[
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[{LOWER: 'boston'}, {LOWER: 'celtics'}],
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[{LOWER: 'celtics'}],
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]
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)
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}
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)
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assert len(list(doc.ents)) == 0
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matches = matcher(doc)
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assert matches == [(ORG, 9, 11), (ORG, 10, 11)]
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ents = list(doc.ents)
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assert len(ents) == 1
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assert ents[0].label == ORG
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assert ents[0].start == 9
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assert ents[0].end == 11
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def test_overlap_prefix(EN):
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'''Test order dependence'''
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doc = EN.tokenizer(u'how many points did lebron james score against the boston celtics last night')
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ORG = doc.vocab.strings['ORG']
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matcher = Matcher(EN.vocab,
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{'BostonCeltics':
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('ORG', {},
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[
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[{LOWER: 'boston'}],
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[{LOWER: 'boston'}, {LOWER: 'celtics'}],
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]
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)
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}
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)
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assert len(list(doc.ents)) == 0
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matches = matcher(doc)
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assert matches == [(ORG, 9, 10), (ORG, 9, 11)]
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ents = list(doc.ents)
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assert len(ents) == 1
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assert ents[0].label == ORG
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assert ents[0].start == 9
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assert ents[0].end == 11
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def test_overlap_prefix_reorder(EN):
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'''Test order dependence'''
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doc = EN.tokenizer(u'how many points did lebron james score against the boston celtics last night')
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ORG = doc.vocab.strings['ORG']
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matcher = Matcher(EN.vocab,
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{'BostonCeltics':
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('ORG', {},
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[
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[{LOWER: 'boston'}, {LOWER: 'celtics'}],
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[{LOWER: 'boston'}],
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]
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)
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}
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)
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2015-10-01 06:21:00 +00:00
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2015-10-19 05:45:12 +00:00
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assert len(list(doc.ents)) == 0
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2015-10-01 06:21:00 +00:00
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matches = matcher(doc)
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2015-10-19 05:45:12 +00:00
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assert matches == [(ORG, 9, 10), (ORG, 9, 11)]
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2015-10-01 06:21:00 +00:00
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ents = list(doc.ents)
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assert len(ents) == 1
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assert ents[0].label == ORG
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assert ents[0].start == 9
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assert ents[0].end == 11
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2016-01-19 18:23:16 +00:00
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@pytest.mark.models
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def test_ner_interaction(EN):
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EN.matcher.add('LAX_Airport', 'AIRPORT', {}, [[{ORTH: 'LAX'}]])
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EN.matcher.add('SFO_Airport', 'AIRPORT', {}, [[{ORTH: 'SFO'}]])
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2016-01-19 19:24:01 +00:00
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doc = EN(u'get me a flight from SFO to LAX leaving 20 December and arriving on January 5th')
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2016-01-19 18:23:16 +00:00
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ents = [(ent.label_, ent.text) for ent in doc.ents]
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assert ents[0] == ('AIRPORT', 'SFO')
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assert ents[1] == ('AIRPORT', 'LAX')
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assert ents[2] == ('DATE', '20 December')
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assert ents[3] == ('DATE', 'January 5th')
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