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https://github.com/huggingface/transformers.git
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626a0a0147
* add RoFormerTokenizerFast into AutoTokenizer * fix typo in roformer docs * make onnx export happy * update RoFormerConfig embedding_size * use jieba not rjieba * fix 12244 and make test_alignement passed * update ARCHIVE_MAP * make style & quality & fixup * update * make style & quality & fixup * make style quality fixup * update * suggestion from LysandreJik Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * make style * use rjieba Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
74 lines
2.8 KiB
Python
74 lines
2.8 KiB
Python
# coding=utf-8
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# Copyright 2021 The HuggingFace Team. All rights reserved.
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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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import unittest
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from transformers import RoFormerTokenizer, RoFormerTokenizerFast
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from transformers.testing_utils import require_rjieba, require_tokenizers
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from .test_tokenization_common import TokenizerTesterMixin
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@require_rjieba
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@require_tokenizers
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class RoFormerTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
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tokenizer_class = RoFormerTokenizer
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rust_tokenizer_class = RoFormerTokenizerFast
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space_between_special_tokens = True
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test_rust_tokenizer = True
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def setUp(self):
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super().setUp()
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def get_tokenizer(self, **kwargs):
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return self.tokenizer_class.from_pretrained("junnyu/roformer_chinese_base", **kwargs)
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def get_rust_tokenizer(self, **kwargs):
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return self.rust_tokenizer_class.from_pretrained("junnyu/roformer_chinese_base", **kwargs)
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def get_chinese_input_output_texts(self):
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input_text = "永和服装饰品有限公司,今天天气非常好"
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output_text = "永和 服装 饰品 有限公司 , 今 天 天 气 非常 好"
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return input_text, output_text
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def test_tokenizer(self):
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tokenizer = self.get_tokenizer()
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input_text, output_text = self.get_chinese_input_output_texts()
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tokens = tokenizer.tokenize(input_text)
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self.assertListEqual(tokens, output_text.split())
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input_tokens = tokens + [tokenizer.unk_token]
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exp_tokens = [22943, 21332, 34431, 45904, 117, 306, 1231, 1231, 2653, 33994, 1266, 100]
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self.assertListEqual(tokenizer.convert_tokens_to_ids(input_tokens), exp_tokens)
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def test_rust_tokenizer(self):
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tokenizer = self.get_rust_tokenizer()
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input_text, output_text = self.get_chinese_input_output_texts()
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tokens = tokenizer.tokenize(input_text)
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self.assertListEqual(tokens, output_text.split())
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input_tokens = tokens + [tokenizer.unk_token]
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exp_tokens = [22943, 21332, 34431, 45904, 117, 306, 1231, 1231, 2653, 33994, 1266, 100]
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self.assertListEqual(tokenizer.convert_tokens_to_ids(input_tokens), exp_tokens)
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# can't train new_tokenizer via Tokenizers lib
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def test_training_new_tokenizer(self):
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pass
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# can't train new_tokenizer via Tokenizers lib
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def test_training_new_tokenizer_with_special_tokens_change(self):
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pass
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