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33 lines
960 B
Python
33 lines
960 B
Python
import numpy
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from spacy.tokens import Doc
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from spacy.attrs import DEP, POS, TAG
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from ..util import get_doc
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def test_issue5048(en_vocab):
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words = ["This", "is", "a", "sentence"]
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pos_s = ["DET", "VERB", "DET", "NOUN"]
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spaces = [" ", " ", " ", ""]
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deps_s = ["dep", "adj", "nn", "atm"]
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tags_s = ["DT", "VBZ", "DT", "NN"]
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strings = en_vocab.strings
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for w in words:
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strings.add(w)
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deps = [strings.add(d) for d in deps_s]
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pos = [strings.add(p) for p in pos_s]
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tags = [strings.add(t) for t in tags_s]
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attrs = [POS, DEP, TAG]
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array = numpy.array(list(zip(pos, deps, tags)), dtype="uint64")
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doc = Doc(en_vocab, words=words, spaces=spaces)
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doc.from_array(attrs, array)
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v1 = [(token.text, token.pos_, token.tag_) for token in doc]
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doc2 = get_doc(en_vocab, words=words, pos=pos_s, deps=deps_s, tags=tags_s)
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v2 = [(token.text, token.pos_, token.tag_) for token in doc2]
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assert v1 == v2
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