forked from mirrors/nixpkgs
70 lines
1.7 KiB
Python
70 lines
1.7 KiB
Python
import pytest
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import spacy
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en_text = (
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"When Sebastian Thrun started working on self-driving cars at "
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"Google in 2007, few people outside of the company took him "
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"seriously. “I can tell you very senior CEOs of major American "
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"car companies would shake my hand and turn away because I wasn’t "
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"worth talking to,” said Thrun, in an interview with Recode earlier "
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"this week.")
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@pytest.fixture
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def en_core_web_sm():
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return spacy.load("en_core_web_sm")
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@pytest.fixture
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def doc_en_core_web_sm(en_core_web_sm):
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return en_core_web_sm(en_text)
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def test_entities(doc_en_core_web_sm):
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entities = list(map(lambda e: (e.text, e.label_),
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doc_en_core_web_sm.ents))
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assert entities == [
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('Sebastian Thrun', 'PERSON'),
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('2007', 'DATE'),
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('American', 'NORP'),
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('Thrun', 'PERSON'),
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('Recode', 'PERSON'),
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('earlier this week', 'DATE'),
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]
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def test_nouns(doc_en_core_web_sm):
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assert [
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chunk.text for chunk in doc_en_core_web_sm.noun_chunks] == [
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'Sebastian Thrun',
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'self-driving cars',
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'Google',
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'few people',
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'the company',
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'him',
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'I',
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'you',
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'very senior CEOs',
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'major American car companies',
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'my hand',
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'I',
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'Thrun',
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'an interview',
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'Recode']
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def test_verbs(doc_en_core_web_sm):
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assert [
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token.lemma_ for token in doc_en_core_web_sm if token.pos_ == "VERB"] == [
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'start',
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'work',
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'drive',
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'take',
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'tell',
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'shake',
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'turn',
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'be',
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'talk',
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'say']
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