mirror of
https://github.com/huggingface/transformers.git
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141 lines
5.0 KiB
Python
141 lines
5.0 KiB
Python
# coding=utf-8
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# Copyright 2018 The Google AI Language Team Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import absolute_import, division, print_function, unicode_literals
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import os
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import unittest
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from io import open
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import shutil
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import pytest
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from pytorch_pretrained_bert.tokenization import (BasicTokenizer,
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BertTokenizer,
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WordpieceTokenizer,
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_is_control, _is_punctuation,
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_is_whitespace, PRETRAINED_VOCAB_ARCHIVE_MAP)
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class TokenizationTest(unittest.TestCase):
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def test_full_tokenizer(self):
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vocab_tokens = [
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"[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn",
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"##ing", ","
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]
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with open("/tmp/bert_tokenizer_test.txt", "w", encoding='utf-8') as vocab_writer:
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vocab_writer.write("".join([x + "\n" for x in vocab_tokens]))
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vocab_file = vocab_writer.name
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tokenizer = BertTokenizer(vocab_file)
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os.remove(vocab_file)
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tokens = tokenizer.tokenize(u"UNwant\u00E9d,running")
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self.assertListEqual(tokens, ["un", "##want", "##ed", ",", "runn", "##ing"])
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self.assertListEqual(
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tokenizer.convert_tokens_to_ids(tokens), [7, 4, 5, 10, 8, 9])
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vocab_file = tokenizer.save_vocabulary(vocab_path="/tmp/")
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tokenizer = tokenizer.from_pretrained(vocab_file)
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os.remove(vocab_file)
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tokens = tokenizer.tokenize(u"UNwant\u00E9d,running")
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self.assertListEqual(tokens, ["un", "##want", "##ed", ",", "runn", "##ing"])
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self.assertListEqual(
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tokenizer.convert_tokens_to_ids(tokens), [7, 4, 5, 10, 8, 9])
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@pytest.mark.slow
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def test_tokenizer_from_pretrained(self):
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cache_dir = "/tmp/pytorch_pretrained_bert_test/"
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for model_name in list(PRETRAINED_VOCAB_ARCHIVE_MAP.keys())[:1]:
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tokenizer = BertTokenizer.from_pretrained(model_name, cache_dir=cache_dir)
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shutil.rmtree(cache_dir)
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self.assertIsNotNone(tokenizer)
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def test_chinese(self):
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tokenizer = BasicTokenizer()
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self.assertListEqual(
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tokenizer.tokenize(u"ah\u535A\u63A8zz"),
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[u"ah", u"\u535A", u"\u63A8", u"zz"])
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def test_basic_tokenizer_lower(self):
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tokenizer = BasicTokenizer(do_lower_case=True)
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self.assertListEqual(
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tokenizer.tokenize(u" \tHeLLo!how \n Are yoU? "),
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["hello", "!", "how", "are", "you", "?"])
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self.assertListEqual(tokenizer.tokenize(u"H\u00E9llo"), ["hello"])
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def test_basic_tokenizer_no_lower(self):
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tokenizer = BasicTokenizer(do_lower_case=False)
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self.assertListEqual(
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tokenizer.tokenize(u" \tHeLLo!how \n Are yoU? "),
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["HeLLo", "!", "how", "Are", "yoU", "?"])
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def test_wordpiece_tokenizer(self):
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vocab_tokens = [
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"[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn",
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"##ing"
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]
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vocab = {}
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for (i, token) in enumerate(vocab_tokens):
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vocab[token] = i
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tokenizer = WordpieceTokenizer(vocab=vocab)
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self.assertListEqual(tokenizer.tokenize(""), [])
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self.assertListEqual(
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tokenizer.tokenize("unwanted running"),
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["un", "##want", "##ed", "runn", "##ing"])
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self.assertListEqual(
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tokenizer.tokenize("unwantedX running"), ["[UNK]", "runn", "##ing"])
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def test_is_whitespace(self):
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self.assertTrue(_is_whitespace(u" "))
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self.assertTrue(_is_whitespace(u"\t"))
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self.assertTrue(_is_whitespace(u"\r"))
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self.assertTrue(_is_whitespace(u"\n"))
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self.assertTrue(_is_whitespace(u"\u00A0"))
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self.assertFalse(_is_whitespace(u"A"))
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self.assertFalse(_is_whitespace(u"-"))
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def test_is_control(self):
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self.assertTrue(_is_control(u"\u0005"))
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self.assertFalse(_is_control(u"A"))
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self.assertFalse(_is_control(u" "))
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self.assertFalse(_is_control(u"\t"))
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self.assertFalse(_is_control(u"\r"))
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def test_is_punctuation(self):
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self.assertTrue(_is_punctuation(u"-"))
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self.assertTrue(_is_punctuation(u"$"))
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self.assertTrue(_is_punctuation(u"`"))
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self.assertTrue(_is_punctuation(u"."))
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self.assertFalse(_is_punctuation(u"A"))
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self.assertFalse(_is_punctuation(u" "))
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if __name__ == '__main__':
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unittest.main()
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