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39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
from __future__ import unicode_literals
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import pytest
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from spacy.en import English
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NLU = English()
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def test_merge_tokens():
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tokens = NLU(u'Los Angeles start.')
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assert len(tokens) == 4
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assert tokens[0].head.orth_ == 'Angeles'
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assert tokens[1].head.orth_ == 'start'
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tokens.merge(0, len('Los Angeles'), 'NNP', 'Los Angeles', 'GPE')
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assert len(tokens) == 3
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assert tokens[0].orth_ == 'Los Angeles'
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assert tokens[0].head.orth_ == 'start'
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def test_merge_heads():
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tokens = NLU(u'I found a pilates class near work.')
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assert len(tokens) == 8
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tokens.merge(tokens[3].idx, tokens[4].idx + len(tokens[4]), tokens[4].tag_,
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'pilates class', 'O')
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assert len(tokens) == 7
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assert tokens[0].head.i == 1
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assert tokens[1].head.i == 1
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assert tokens[2].head.i == 3
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assert tokens[3].head.i == 1
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assert tokens[4].head.i in [1, 3]
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assert tokens[5].head.i == 4
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def test_issue_54():
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text = u'Talks given by women had a slightly higher number of questions asked (3.2$\pm$0.2) than talks given by men (2.6$\pm$0.1).'
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tokens = NLU(text, merge_mwes=True)
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