spaCy/spacy/tests/lang/en/test_noun_chunks.py
Ines Montani b6e991440c 💫 Tidy up and auto-format tests (#2967)
* 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
2018-11-27 01:09:36 +01:00

41 lines
1.3 KiB
Python

# coding: utf-8
from __future__ import unicode_literals
import numpy
from spacy.attrs import HEAD, DEP
from spacy.symbols import nsubj, dobj, amod, nmod, conj, cc, root
from spacy.lang.en.syntax_iterators import SYNTAX_ITERATORS
from ...util import get_doc
def test_en_noun_chunks_not_nested(en_tokenizer):
text = "Peter has chronic command and control issues"
heads = [1, 0, 4, 3, -1, -2, -5]
deps = ["nsubj", "ROOT", "amod", "nmod", "cc", "conj", "dobj"]
tokens = en_tokenizer(text)
doc = get_doc(tokens.vocab, words=[t.text for t in tokens], heads=heads, deps=deps)
tokens.from_array(
[HEAD, DEP],
numpy.asarray(
[
[1, nsubj],
[0, root],
[4, amod],
[3, nmod],
[-1, cc],
[-2, conj],
[-5, dobj],
],
dtype="uint64",
),
)
tokens.noun_chunks_iterator = SYNTAX_ITERATORS["noun_chunks"]
word_occurred = {}
for chunk in tokens.noun_chunks:
for word in chunk:
word_occurred.setdefault(word.text, 0)
word_occurred[word.text] += 1
for word, freq in word_occurred.items():
assert freq == 1, (word, [chunk.text for chunk in tokens.noun_chunks])