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			106 lines
		
	
	
		
			2.9 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			106 lines
		
	
	
		
			2.9 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
import pytest
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from spacy.matcher import Matcher
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from spacy.attrs import LOWER
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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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    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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    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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