mirror of https://github.com/explosion/spaCy.git
23 lines
623 B
Python
23 lines
623 B
Python
from __future__ import unicode_literals
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import pytest
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from ... import load as load_spacy
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@pytest.fixture
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def doc():
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nlp = load_spacy('en')
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return nlp('Does flight number three fifty-four require a connecting flight'
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' to get to Boston?')
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@pytest.mark.models
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def test_issue955(doc):
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'''Test that we don't have any nested noun chunks'''
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seen_tokens = set()
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for np in doc.noun_chunks:
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print(np.text, np.root.text, np.root.dep_, np.root.tag_)
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for word in np:
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key = (word.i, word.text)
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assert key not in seen_tokens
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seen_tokens.add(key)
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