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26 lines
685 B
Python
26 lines
685 B
Python
# coding: utf-8
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from __future__ import unicode_literals
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from ...matcher import Matcher
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import pytest
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@pytest.mark.models('en')
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def test_issue429(EN):
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def merge_phrases(matcher, doc, i, matches):
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if i != len(matches) - 1:
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return None
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spans = [(ent_id, ent_id, doc[start:end]) for ent_id, start, end in matches]
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for ent_id, label, span in spans:
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span.merge('NNP' if label else span.root.tag_, span.text, EN.vocab.strings[label])
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doc = EN('a')
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matcher = Matcher(EN.vocab)
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matcher.add('TEST', merge_phrases, [{'ORTH': 'a'}])
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doc = EN.make_doc('a b c')
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EN.tensorizer(doc)
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EN.tagger(doc)
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matcher(doc)
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EN.entity(doc)
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