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27 lines
1.0 KiB
Python
27 lines
1.0 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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from spacy.lang.en import English
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from spacy.lang.en.syntax_iterators import noun_chunks
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from spacy.tests.util import get_doc
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from spacy.vocab import Vocab
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def test_issue5458():
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# Test that the noun chuncker does not generate overlapping spans
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# fmt: off
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words = ["In", "an", "era", "where", "markets", "have", "brought", "prosperity", "and", "empowerment", "."]
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vocab = Vocab(strings=words)
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dependencies = ["ROOT", "det", "pobj", "advmod", "nsubj", "aux", "relcl", "dobj", "cc", "conj", "punct"]
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pos_tags = ["ADP", "DET", "NOUN", "ADV", "NOUN", "AUX", "VERB", "NOUN", "CCONJ", "NOUN", "PUNCT"]
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heads = [0, 1, -2, 6, 2, 1, -4, -1, -1, -2, -10]
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# fmt: on
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en_doc = get_doc(vocab, words, pos_tags, heads, dependencies)
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en_doc.noun_chunks_iterator = noun_chunks
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# if there are overlapping spans, this will fail with an E102 error "Can't merge non-disjoint spans"
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nlp = English()
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merge_nps = nlp.create_pipe("merge_noun_chunks")
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merge_nps(en_doc)
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