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40 lines
1.0 KiB
Python
40 lines
1.0 KiB
Python
# coding: utf8
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from __future__ import unicode_literals
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import pytest
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import re
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from ...lang.en import English
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from ...tokenizer import Tokenizer
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def test_issue1494():
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infix_re = re.compile(r'''[^a-z]''')
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text_to_tokenize1 = 'token 123test'
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expected_tokens1 = ['token', '1', '2', '3', 'test']
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text_to_tokenize2 = 'token 1test'
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expected_tokens2 = ['token', '1test']
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text_to_tokenize3 = 'hello...test'
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expected_tokens3 = ['hello', '.', '.', '.', 'test']
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def my_tokenizer(nlp):
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return Tokenizer(nlp.vocab,
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{},
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infix_finditer=infix_re.finditer
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)
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nlp = English()
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nlp.tokenizer = my_tokenizer(nlp)
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tokenized_words1 = [token.text for token in nlp(text_to_tokenize1)]
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assert tokenized_words1 == expected_tokens1
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tokenized_words2 = [token.text for token in nlp(text_to_tokenize2)]
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assert tokenized_words2 == expected_tokens2
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tokenized_words3 = [token.text for token in nlp(text_to_tokenize3)]
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assert tokenized_words3 == expected_tokens3
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