mirror of
https://github.com/explosion/spaCy.git
synced 2025-11-04 01:48:04 +03:00
48 lines
1.5 KiB
Python
48 lines
1.5 KiB
Python
# coding: utf8
|
|
from __future__ import unicode_literals
|
|
|
|
from spacy.tokens import Doc
|
|
|
|
import numpy as np
|
|
|
|
|
|
def test_issue3540(en_vocab):
|
|
|
|
words = ["I", "live", "in", "NewYork", "right", "now"]
|
|
tensor = np.asarray(
|
|
[[1.0, 1.1], [2.0, 2.1], [3.0, 3.1], [4.0, 4.1], [5.0, 5.1], [6.0, 6.1]],
|
|
dtype="f",
|
|
)
|
|
doc = Doc(en_vocab, words=words)
|
|
doc.tensor = tensor
|
|
|
|
gold_text = ["I", "live", "in", "NewYork", "right", "now"]
|
|
assert [token.text for token in doc] == gold_text
|
|
|
|
gold_lemma = ["I", "live", "in", "NewYork", "right", "now"]
|
|
assert [token.lemma_ for token in doc] == gold_lemma
|
|
|
|
vectors_1 = [token.vector for token in doc]
|
|
assert len(vectors_1) == len(doc)
|
|
|
|
with doc.retokenize() as retokenizer:
|
|
heads = [(doc[3], 1), doc[2]]
|
|
attrs = {"POS": ["PROPN", "PROPN"], "DEP": ["pobj", "compound"]}
|
|
retokenizer.split(doc[3], ["New", "York"], heads=heads, attrs=attrs)
|
|
|
|
gold_text = ["I", "live", "in", "New", "York", "right", "now"]
|
|
assert [token.text for token in doc] == gold_text
|
|
|
|
gold_lemma = ["I", "live", "in", "New", "York", "right", "now"]
|
|
assert [token.lemma_ for token in doc] == gold_lemma
|
|
|
|
vectors_2 = [token.vector for token in doc]
|
|
assert len(vectors_2) == len(doc)
|
|
|
|
assert vectors_1[0].tolist() == vectors_2[0].tolist()
|
|
assert vectors_1[1].tolist() == vectors_2[1].tolist()
|
|
assert vectors_1[2].tolist() == vectors_2[2].tolist()
|
|
|
|
assert vectors_1[4].tolist() == vectors_2[5].tolist()
|
|
assert vectors_1[5].tolist() == vectors_2[6].tolist()
|