spaCy/spacy/tests/lang/da/test_noun_chunks.py

# coding: utf-8
from __future__ import unicode_literals

import pytest

from ...util import get_doc


def test_noun_chunks_is_parsed(da_tokenizer):
    """Test that noun_chunks raises Value Error for 'da' language if Doc is not parsed.
    To check this test, we're constructing a Doc
    with a new Vocab here and forcing is_parsed to 'False'
    to make sure the noun chunks don't run.
    """
    doc = da_tokenizer("Det er en sætning")
    doc.is_parsed = False
    with pytest.raises(ValueError):
        list(doc.noun_chunks)



DA_NP_TEST_EXAMPLES = [
    (
        "Hun elsker at plukker frugt.",
        ['PRON', 'VERB', 'PART', 'VERB', 'NOUN', 'PUNCT'],
        ['nsubj', 'ROOT', 'mark', 'obj', 'obj', 'punct'],
        [1, 0, 1, -2, -1, -4],
        ["Hun", "frugt"],
    ),
    (
        "Påfugle er de smukkeste fugle.",
        ['NOUN', 'AUX', 'DET', 'ADJ', 'NOUN', 'PUNCT'],
        ['nsubj', 'cop', 'det', 'amod', 'ROOT', 'punct'],
        [4, 3, 2, 1, 0, -1],
        ["Påfugle", "de smukkeste fugle"],
    ),
    (
        "Rikke og Jacob Jensen glæder sig til en hyggelig skovtur",
        ['PROPN', 'CCONJ', 'PROPN', 'PROPN', 'VERB', 'PRON', 'ADP', 'DET', 'ADJ', 'NOUN'],
        ['nsubj', 'cc', 'conj', 'flat', 'ROOT', 'obj', 'case', 'det', 'amod', 'obl'],
        [4, 1, -2, -1, 0, -1, 3, 2, 1, -5],
        ["Rikke", "Jacob Jensen", "sig", "en hyggelig skovtur"],
    ),
]


@pytest.mark.parametrize(
    "text,pos,deps,heads,expected_noun_chunks", DA_NP_TEST_EXAMPLES
)
def test_da_noun_chunks(da_tokenizer, text, pos, deps, heads, expected_noun_chunks):
    tokens = da_tokenizer(text)

    assert len(heads) == len(pos)
    doc = get_doc(
        tokens.vocab, words=[t.text for t in tokens], heads=heads, deps=deps, pos=pos
    )

    noun_chunks = list(doc.noun_chunks)
    assert len(noun_chunks) == len(expected_noun_chunks)
    for i, np in enumerate(noun_chunks):
        assert np.text == expected_noun_chunks[i]