spaCy/spacy/tests/unit/test_parser.py

84 lines
2.7 KiB
Python

from __future__ import unicode_literals
import pytest
import numpy
from spacy.attrs import HEAD, DEP
from spacy.symbols import root, det, compound, nsubjpass, aux, auxpass, punct, nsubj, cc, amod, conj, advmod, attr, prep, pobj
@pytest.mark.models
class TestNounChunks:
@pytest.fixture(scope="class")
def ex1_en(self, EN):
example = EN.tokenizer.tokens_from_list('A base phrase should be recognized .'.split(' '))
EN.tagger.tag_from_strings(example, 'DT NN NN MD VB VBN .'.split(' '))
example.from_array([HEAD, DEP],
numpy.asarray(
[
[2, det],
[1, compound],
[3, nsubjpass],
[2, aux],
[1, auxpass],
[0, root],
[-1, punct]
], dtype='int32'))
return example
@pytest.fixture(scope="class")
def ex2_en(self, EN):
example = EN.tokenizer.tokens_from_list('A base phrase and a good phrase are often the same .'.split(' '))
EN.tagger.tag_from_strings(example, 'DT NN NN CC DT JJ NN VBP RB DT JJ .'.split(' '))
example.from_array([HEAD, DEP],
numpy.asarray(
[
[2, det],
[1, compound],
[5, nsubj],
[-1, cc],
[1, det],
[1, amod],
[-4, conj],
[0, root],
[-1, advmod],
[1, det],
[-3, attr],
[-4, punct]
], dtype='int32'))
return example
@pytest.fixture(scope="class")
def ex3_en(self, EN):
example = EN.tokenizer.tokens_from_list('A phrase with another phrase occurs .'.split(' '))
EN.tagger.tag_from_strings(example, 'DT NN IN DT NN VBZ .'.split(' '))
example.from_array([HEAD, DEP],
numpy.asarray(
[
[1, det],
[4, nsubj],
[-1, prep],
[1, det],
[-2, pobj],
[0, root],
[-1, punct]
], dtype='int32'))
return example
def test_standard_chunk(self, ex1_en):
chunks = list(ex1_en.noun_chunks)
assert len(chunks) == 1
assert chunks[0].string == 'A base phrase '
def test_coordinated_chunks(self, ex2_en):
chunks = list(ex2_en.noun_chunks)
assert len(chunks) == 2
assert chunks[0].string == 'A base phrase '
assert chunks[1].string == 'a good phrase '
def test_pp_chunks(self, ex3_en):
chunks = list(ex3_en.noun_chunks)
assert len(chunks) == 2
assert chunks[0].string == 'A phrase '
assert chunks[1].string == 'another phrase '