spaCy/spacy/tests/lang/en/test_sbd.py

# coding: utf-8
from __future__ import unicode_literals

import pytest

from ...util import get_doc, apply_transition_sequence


@pytest.mark.parametrize('text', ["A test sentence"])
@pytest.mark.parametrize('punct', ['.', '!', '?', ''])
def test_en_sbd_single_punct(en_tokenizer, text, punct):
    heads = [2, 1, 0, -1] if punct else [2, 1, 0]
    tokens = en_tokenizer(text + punct)
    doc = get_doc(tokens.vocab, words=[t.text for t in tokens], heads=heads)
    assert len(doc) == 4 if punct else 3
    assert len(list(doc.sents)) == 1
    assert sum(len(sent) for sent in doc.sents) == len(doc)


@pytest.mark.xfail
def test_en_sentence_breaks(en_tokenizer, en_parser):
    text = "This is a sentence . This is another one ."
    heads = [1, 0, 1, -2, -3, 1, 0, 1, -2, -3]
    deps = ['nsubj', 'ROOT', 'det', 'attr', 'punct', 'nsubj', 'ROOT', 'det',
            'attr', 'punct']
    transition = ['L-nsubj', 'S', 'L-det', 'R-attr', 'D', 'R-punct', 'B-ROOT',
                  'L-nsubj', 'S', 'L-attr', 'R-attr', 'D', 'R-punct']
    tokens = en_tokenizer(text)
    doc = get_doc(tokens.vocab, words=[t.text for t in tokens], heads=heads, deps=deps)
    apply_transition_sequence(en_parser, doc, transition)
    assert len(list(doc.sents)) == 2
    for token in doc:
        assert token.dep != 0 or token.is_space
    assert [token.head.i for token in doc ] == [1, 1, 3, 1, 1, 6, 6, 8, 6, 6]