spaCy/spacy/tests/regression/test_issue3521.py

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# coding: utf8
from __future__ import unicode_literals
import pytest
@pytest.mark.parametrize("word", ["don't", "dont", "I'd", "Id"])
def test_issue3521(en_tokenizer, word):
tok = en_tokenizer(word)[1]
# 'not' and 'would' should be stopwords, also in their abbreviated forms
assert tok.is_stop