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74 lines
2.2 KiB
Python
74 lines
2.2 KiB
Python
from __future__ import unicode_literals
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import pytest
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from ...vocab import Vocab
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from ...syntax.ner import BiluoPushDown
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from ...gold import GoldParse
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from ...tokens import Doc
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@pytest.fixture
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def vocab():
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return Vocab()
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@pytest.fixture
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def doc(vocab):
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return Doc(vocab, words=['Casey', 'went', 'to', 'New', 'York', '.'])
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@pytest.fixture
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def entity_annots(doc):
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casey = doc[0:1]
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ny = doc[3:5]
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return [(casey.start_char, casey.end_char, 'PERSON'),
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(ny.start_char, ny.end_char, 'GPE')]
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@pytest.fixture
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def entity_types(entity_annots):
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return sorted(set([label for (s, e, label) in entity_annots]))
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@pytest.fixture
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def tsys(vocab, entity_types):
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actions = BiluoPushDown.get_actions(entity_types=entity_types)
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return BiluoPushDown(vocab.strings, actions)
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def test_get_oracle_moves(tsys, doc, entity_annots):
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gold = GoldParse(doc, entities=entity_annots)
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tsys.preprocess_gold(gold)
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act_classes = tsys.get_oracle_sequence(doc, gold)
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names = [tsys.get_class_name(act) for act in act_classes]
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assert names == ['U-PERSON', 'O', 'O', 'B-GPE', 'L-GPE', 'O']
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def test_get_oracle_moves_negative_entities(tsys, doc, entity_annots):
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entity_annots = [(s, e, '!' + label) for s, e, label in entity_annots]
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gold = GoldParse(doc, entities=entity_annots)
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for i, tag in enumerate(gold.ner):
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if tag == 'L-!GPE':
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gold.ner[i] = '-'
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tsys.preprocess_gold(gold)
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act_classes = tsys.get_oracle_sequence(doc, gold)
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names = [tsys.get_class_name(act) for act in act_classes]
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def test_get_oracle_moves_negative_entities2(tsys, vocab):
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doc = Doc(vocab, words=['A', 'B', 'C', 'D'])
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gold = GoldParse(doc, entities=[])
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gold.ner = ['B-!PERSON', 'L-!PERSON', 'B-!PERSON', 'L-!PERSON']
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tsys.preprocess_gold(gold)
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act_classes = tsys.get_oracle_sequence(doc, gold)
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names = [tsys.get_class_name(act) for act in act_classes]
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def test_get_oracle_moves_negative_O(tsys, vocab):
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doc = Doc(vocab, words=['A', 'B', 'C', 'D'])
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gold = GoldParse(doc, entities=[])
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gold.ner = ['O', '!O', 'O', '!O']
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tsys.preprocess_gold(gold)
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act_classes = tsys.get_oracle_sequence(doc, gold)
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names = [tsys.get_class_name(act) for act in act_classes]
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