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49 lines
1.8 KiB
Python
49 lines
1.8 KiB
Python
from __future__ import unicode_literals
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from ...gold import biluo_tags_from_offsets
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from ...vocab import Vocab
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from ...tokens.doc import Doc
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import pytest
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@pytest.fixture
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def vocab():
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return Vocab()
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def test_U(vocab):
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orths_and_spaces = [('I', True), ('flew', True), ('to', True), ('London', False),
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('.', True)]
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doc = Doc(vocab, orths_and_spaces=orths_and_spaces)
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entities = [(len("I flew to "), len("I flew to London"), 'LOC')]
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tags = biluo_tags_from_offsets(doc, entities)
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assert tags == ['O', 'O', 'O', 'U-LOC', 'O']
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def test_BL(vocab):
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orths_and_spaces = [('I', True), ('flew', True), ('to', True), ('San', True),
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('Francisco', False), ('.', True)]
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doc = Doc(vocab, orths_and_spaces=orths_and_spaces)
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entities = [(len("I flew to "), len("I flew to San Francisco"), 'LOC')]
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tags = biluo_tags_from_offsets(doc, entities)
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assert tags == ['O', 'O', 'O', 'B-LOC', 'L-LOC', 'O']
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def test_BIL(vocab):
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orths_and_spaces = [('I', True), ('flew', True), ('to', True), ('San', True),
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('Francisco', True), ('Valley', False), ('.', True)]
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doc = Doc(vocab, orths_and_spaces=orths_and_spaces)
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entities = [(len("I flew to "), len("I flew to San Francisco Valley"), 'LOC')]
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tags = biluo_tags_from_offsets(doc, entities)
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assert tags == ['O', 'O', 'O', 'B-LOC', 'I-LOC', 'L-LOC', 'O']
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def test_misalign(vocab):
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orths_and_spaces = [('I', True), ('flew', True), ('to', True), ('San', True),
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('Francisco', True), ('Valley.', False)]
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doc = Doc(vocab, orths_and_spaces=orths_and_spaces)
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entities = [(len("I flew to "), len("I flew to San Francisco Valley"), 'LOC')]
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tags = biluo_tags_from_offsets(doc, entities)
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assert tags == ['O', 'O', 'O', '-', '-', '-']
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