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Fixed issue of infix capturing prefixes
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33b0f86de3
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@ -10,8 +10,14 @@ 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_tokenize = 'token 123test'
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expected_tokens = ['token', '1', '2', '3', 'test']
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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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@ -22,6 +28,12 @@ def test_issue1494():
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nlp = English()
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nlp.tokenizer = my_tokenizer(nlp)
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tokenized_words = [token.text for token in nlp(text_to_tokenize)]
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print(tokenized_words)
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assert tokenized_words == expected_tokens
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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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@ -238,10 +238,14 @@ cdef class Tokenizer:
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# let's say we have dyn-o-mite-dave - the regex finds the
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# start and end positions of the hyphens
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start = 0
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start_before_infixes = start
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for match in matches:
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infix_start = match.start()
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infix_end = match.end()
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if infix_start == start_before_infixes:
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continue
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if infix_start != start:
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span = string[start:infix_start]
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tokens.push_back(self.vocab.get(tokens.mem, span), False)
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