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50 lines
1.8 KiB
Python
50 lines
1.8 KiB
Python
import pytest
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from spacy.tokens import Doc
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def test_noun_chunks_is_parsed_sv(sv_tokenizer):
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"""Test that noun_chunks raises Value Error for 'sv' language if Doc is not parsed.
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"""
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doc = sv_tokenizer("Studenten läste den bästa boken")
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with pytest.raises(ValueError):
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list(doc.noun_chunks)
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SV_NP_TEST_EXAMPLES = [
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(
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"En student läste en bok", # A student read a book
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["DET", "NOUN", "VERB", "DET", "NOUN"],
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["det", "nsubj", "ROOT", "det", "dobj"],
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[1, 2, 2, 4, 2],
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["En student", "en bok"],
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),
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(
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"Studenten läste den bästa boken.", # The student read the best book
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["NOUN", "VERB", "DET", "ADJ", "NOUN", "PUNCT"],
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["nsubj", "ROOT", "det", "amod", "dobj", "punct"],
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[1, 1, 4, 4, 1, 1],
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["Studenten", "den bästa boken"],
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),
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(
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"De samvetslösa skurkarna hade stulit de största juvelerna på söndagen", # The remorseless crooks had stolen the largest jewels that sunday
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["DET", "ADJ", "NOUN", "VERB", "VERB", "DET", "ADJ", "NOUN", "ADP", "NOUN"],
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["det", "amod", "nsubj", "aux", "root", "det", "amod", "dobj", "case", "nmod"],
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[2, 2, 4, 4, 4, 7, 7, 4, 9, 4],
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["De samvetslösa skurkarna", "de största juvelerna", "på söndagen"],
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),
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]
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@pytest.mark.parametrize(
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"text,pos,deps,heads,expected_noun_chunks", SV_NP_TEST_EXAMPLES
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)
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def test_sv_noun_chunks(sv_tokenizer, text, pos, deps, heads, expected_noun_chunks):
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tokens = sv_tokenizer(text)
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assert len(heads) == len(pos)
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words = [t.text for t in tokens]
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doc = Doc(tokens.vocab, words=words, heads=heads, deps=deps, pos=pos)
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noun_chunks = list(doc.noun_chunks)
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assert len(noun_chunks) == len(expected_noun_chunks)
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for i, np in enumerate(noun_chunks):
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assert np.text == expected_noun_chunks[i]
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