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https://github.com/explosion/spaCy.git
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e2b70df012
* Use isort with Black profile * isort all the things * Fix import cycles as a result of import sorting * Add DOCBIN_ALL_ATTRS type definition * Add isort to requirements * Remove isort from build dependencies check * Typo
46 lines
1.5 KiB
Python
46 lines
1.5 KiB
Python
import pytest
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from spacy.tokens import Doc
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@pytest.fixture
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def doc(en_vocab):
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words = ["Peter", "has", "chronic", "command", "and", "control", "issues"]
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heads = [1, 1, 6, 6, 3, 3, 1]
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deps = ["nsubj", "ROOT", "amod", "nmod", "cc", "conj", "dobj"]
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pos = ["PROPN", "VERB", "ADJ", "NOUN", "CCONJ", "NOUN", "NOUN"]
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return Doc(en_vocab, words=words, heads=heads, deps=deps, pos=pos)
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def test_noun_chunks_is_parsed(en_tokenizer):
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"""Test that noun_chunks raises Value Error for 'en' language if Doc is not parsed."""
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doc = en_tokenizer("This is a sentence")
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with pytest.raises(ValueError):
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list(doc.noun_chunks)
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def test_en_noun_chunks_not_nested(doc, en_vocab):
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"""Test that each token only appears in one noun chunk at most"""
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word_occurred = {}
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chunks = list(doc.noun_chunks)
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assert len(chunks) > 1
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for chunk in chunks:
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for word in chunk:
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word_occurred.setdefault(word.text, 0)
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word_occurred[word.text] += 1
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assert len(word_occurred) > 0
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for word, freq in word_occurred.items():
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assert freq == 1, (word, [chunk.text for chunk in doc.noun_chunks])
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def test_noun_chunks_span(doc, en_tokenizer):
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"""Test that the span.noun_chunks property works correctly"""
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doc_chunks = list(doc.noun_chunks)
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span = doc[0:3]
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span_chunks = list(span.noun_chunks)
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assert 0 < len(span_chunks) < len(doc_chunks)
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for chunk in span_chunks:
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assert chunk in doc_chunks
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assert chunk.start >= 0
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assert chunk.end <= 3
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