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72 lines
2.0 KiB
Python
72 lines
2.0 KiB
Python
import pytest
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from spacy.tokens import Doc
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def test_noun_chunks_is_parsed(da_tokenizer):
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"""Test that noun_chunks raises Value Error for 'da' language if Doc is not parsed.
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To check this test, we're constructing a Doc
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with a new Vocab here and forcing is_parsed to 'False'
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to make sure the noun chunks don't run.
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"""
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doc = da_tokenizer("Det er en sætning")
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with pytest.raises(ValueError):
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list(doc.noun_chunks)
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DA_NP_TEST_EXAMPLES = [
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(
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"Hun elsker at plukker frugt.",
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["PRON", "VERB", "PART", "VERB", "NOUN", "PUNCT"],
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["nsubj", "ROOT", "mark", "obj", "obj", "punct"],
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[1, 0, 1, -2, -1, -4],
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["Hun", "frugt"],
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),
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(
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"Påfugle er de smukkeste fugle.",
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["NOUN", "AUX", "DET", "ADJ", "NOUN", "PUNCT"],
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["nsubj", "cop", "det", "amod", "ROOT", "punct"],
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[4, 3, 2, 1, 0, -1],
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["Påfugle", "de smukkeste fugle"],
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),
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(
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"Rikke og Jacob Jensen glæder sig til en hyggelig skovtur",
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[
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"PROPN",
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"CCONJ",
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"PROPN",
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"PROPN",
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"VERB",
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"PRON",
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"ADP",
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"DET",
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"ADJ",
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"NOUN",
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],
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["nsubj", "cc", "conj", "flat", "ROOT", "obj", "case", "det", "amod", "obl"],
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[4, 1, -2, -1, 0, -1, 3, 2, 1, -5],
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["Rikke", "Jacob Jensen", "sig", "en hyggelig skovtur"],
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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", DA_NP_TEST_EXAMPLES
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)
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def test_da_noun_chunks(da_tokenizer, text, pos, deps, heads, expected_noun_chunks):
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tokens = da_tokenizer(text)
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assert len(heads) == len(pos)
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doc = Doc(
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tokens.vocab,
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words=[t.text for t in tokens],
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heads=[head + i for i, head in enumerate(heads)],
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deps=deps,
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pos=pos,
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)
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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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