mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-11 12:18:04 +03:00
33 lines
960 B
Python
33 lines
960 B
Python
import numpy
|
|
from spacy.tokens import Doc
|
|
from spacy.attrs import DEP, POS, TAG
|
|
|
|
from ..util import get_doc
|
|
|
|
|
|
def test_issue5048(en_vocab):
|
|
words = ["This", "is", "a", "sentence"]
|
|
pos_s = ["DET", "VERB", "DET", "NOUN"]
|
|
spaces = [" ", " ", " ", ""]
|
|
deps_s = ["dep", "adj", "nn", "atm"]
|
|
tags_s = ["DT", "VBZ", "DT", "NN"]
|
|
|
|
strings = en_vocab.strings
|
|
|
|
for w in words:
|
|
strings.add(w)
|
|
deps = [strings.add(d) for d in deps_s]
|
|
pos = [strings.add(p) for p in pos_s]
|
|
tags = [strings.add(t) for t in tags_s]
|
|
|
|
attrs = [POS, DEP, TAG]
|
|
array = numpy.array(list(zip(pos, deps, tags)), dtype="uint64")
|
|
|
|
doc = Doc(en_vocab, words=words, spaces=spaces)
|
|
doc.from_array(attrs, array)
|
|
v1 = [(token.text, token.pos_, token.tag_) for token in doc]
|
|
|
|
doc2 = get_doc(en_vocab, words=words, pos=pos_s, deps=deps_s, tags=tags_s)
|
|
v2 = [(token.text, token.pos_, token.tag_) for token in doc2]
|
|
assert v1 == v2
|