mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-11 12:18:04 +03:00
b6e991440c
* Auto-format tests with black * Add flake8 config * Tidy up and remove unused imports * Fix redefinitions of test functions * Replace orths_and_spaces with words and spaces * Fix compatibility with pytest 4.0 * xfail test for now Test was previously overwritten by following test due to naming conflict, so failure wasn't reported * Unfail passing test * Only use fixture via arguments Fixes pytest 4.0 compatibility
62 lines
2.1 KiB
Python
62 lines
2.1 KiB
Python
# coding: utf-8
|
|
from __future__ import unicode_literals
|
|
|
|
from spacy.attrs import ORTH, SHAPE, POS, DEP
|
|
|
|
from ..util import get_doc
|
|
|
|
|
|
def test_doc_array_attr_of_token(en_tokenizer, en_vocab):
|
|
text = "An example sentence"
|
|
tokens = en_tokenizer(text)
|
|
example = tokens.vocab["example"]
|
|
assert example.orth != example.shape
|
|
feats_array = tokens.to_array((ORTH, SHAPE))
|
|
assert feats_array[0][0] != feats_array[0][1]
|
|
assert feats_array[0][0] != feats_array[0][1]
|
|
|
|
|
|
def test_doc_stringy_array_attr_of_token(en_tokenizer, en_vocab):
|
|
text = "An example sentence"
|
|
tokens = en_tokenizer(text)
|
|
example = tokens.vocab["example"]
|
|
assert example.orth != example.shape
|
|
feats_array = tokens.to_array((ORTH, SHAPE))
|
|
feats_array_stringy = tokens.to_array(("ORTH", "SHAPE"))
|
|
assert feats_array_stringy[0][0] == feats_array[0][0]
|
|
assert feats_array_stringy[0][1] == feats_array[0][1]
|
|
|
|
|
|
def test_doc_scalar_attr_of_token(en_tokenizer, en_vocab):
|
|
text = "An example sentence"
|
|
tokens = en_tokenizer(text)
|
|
example = tokens.vocab["example"]
|
|
assert example.orth != example.shape
|
|
feats_array = tokens.to_array(ORTH)
|
|
assert feats_array.shape == (3,)
|
|
|
|
|
|
def test_doc_array_tag(en_tokenizer):
|
|
text = "A nice sentence."
|
|
pos = ["DET", "ADJ", "NOUN", "PUNCT"]
|
|
tokens = en_tokenizer(text)
|
|
doc = get_doc(tokens.vocab, words=[t.text for t in tokens], pos=pos)
|
|
assert doc[0].pos != doc[1].pos != doc[2].pos != doc[3].pos
|
|
feats_array = doc.to_array((ORTH, POS))
|
|
assert feats_array[0][1] == doc[0].pos
|
|
assert feats_array[1][1] == doc[1].pos
|
|
assert feats_array[2][1] == doc[2].pos
|
|
assert feats_array[3][1] == doc[3].pos
|
|
|
|
|
|
def test_doc_array_dep(en_tokenizer):
|
|
text = "A nice sentence."
|
|
deps = ["det", "amod", "ROOT", "punct"]
|
|
tokens = en_tokenizer(text)
|
|
doc = get_doc(tokens.vocab, words=[t.text for t in tokens], deps=deps)
|
|
feats_array = doc.to_array((ORTH, DEP))
|
|
assert feats_array[0][1] == doc[0].dep
|
|
assert feats_array[1][1] == doc[1].dep
|
|
assert feats_array[2][1] == doc[2].dep
|
|
assert feats_array[3][1] == doc[3].dep
|