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73 lines
2.6 KiB
Python
73 lines
2.6 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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from pytorch_pretrained_bert.tokenization_transfo_xl import TransfoXLTokenizer
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class TransfoXLTokenizationTest(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", "unwanted", "wa", "un", "running", ","
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]
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with open("/tmp/transfo_xl_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 = TransfoXLTokenizer(vocab_file=vocab_file, lower_case=True)
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tokenizer.build_vocab()
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os.remove(vocab_file)
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tokens = tokenizer.tokenize(u"<unk> UNwant\u00E9d,running")
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self.assertListEqual(tokens, ["<unk>", "unwanted", ",", "running"])
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self.assertListEqual(
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tokenizer.convert_tokens_to_ids(tokens), [0, 4, 8, 7])
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vocab_file = tokenizer.save_vocabulary(vocab_path="/tmp/")
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tokenizer.from_pretrained(vocab_file)
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os.remove(vocab_file)
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tokens = tokenizer.tokenize(u"<unk> UNwant\u00E9d,running")
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self.assertListEqual(tokens, ["<unk>", "unwanted", ",", "running"])
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self.assertListEqual(
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tokenizer.convert_tokens_to_ids(tokens), [0, 4, 8, 7])
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def test_full_tokenizer_lower(self):
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tokenizer = TransfoXLTokenizer(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_full_tokenizer_no_lower(self):
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tokenizer = TransfoXLTokenizer(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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if __name__ == '__main__':
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unittest.main()
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