mirror of https://github.com/explosion/spaCy.git
37 lines
1.1 KiB
Python
37 lines
1.1 KiB
Python
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import pytest
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from spacy.lang.en import English
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import numpy as np
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@pytest.mark.parametrize(
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"sentence, start_idx,end_idx,label", [
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('Welcome to Mumbai, my friend',11,17,'GPE')
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]
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)
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def test_char_span_label(sentence, start_idx, end_idx, label):
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nlp = English()
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doc = nlp(sentence)
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span = doc[:].char_span(start_idx, end_idx, label=label)
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assert span.label_ == label
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@pytest.mark.parametrize(
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"sentence, start_idx,end_idx,kb_id", [
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('Welcome to Mumbai, my friend',11,17,5)
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]
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)
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def test_char_span_kb_id(sentence, start_idx, end_idx, kb_id):
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nlp = English()
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doc = nlp(sentence)
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span = doc[:].char_span(start_idx, end_idx, kb_id=kb_id)
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assert span.kb_id == kb_id
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@pytest.mark.parametrize(
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"sentence, start_idx,end_idx,vector", [
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('Welcome to Mumbai, my friend',11,17,np.array([0.1,0.2,0.3]))
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]
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)
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def test_char_span_vector(sentence, start_idx, end_idx, vector):
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nlp = English()
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doc = nlp(sentence)
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span = doc[:].char_span(start_idx, end_idx, vector=vector)
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assert (span.vector == vector).all()
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