47 lines
1.6 KiB
Python
47 lines
1.6 KiB
Python
# Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
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# Copyright 2024 The Qwen team, Alibaba Group and 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 paddlenlp.transformers import QWenTokenizer
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class Qwen2TokenizationTest(unittest.TestCase):
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from_pretrained_id = "qwen/qwen-7b"
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tokenizer_class = QWenTokenizer
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test_slow_tokenizer = True
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space_between_special_tokens = False
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from_pretrained_kwargs = None
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test_seq2seq = False
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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 QWenTokenizer.from_pretrained(self.from_pretrained_id, **kwargs)
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def test_add_special_tokens(self):
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tokenizer = self.get_tokenizer()
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origin_tokens_len = len(tokenizer)
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add_tokens_num = tokenizer.add_special_tokens({"additional_special_tokens": ["<img>"]})
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assert add_tokens_num == 1
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assert len(tokenizer) == origin_tokens_len + 1
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add_tokens_num = tokenizer.add_special_tokens({"unk_token": "<unk>"})
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assert add_tokens_num == 1
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assert len(tokenizer) == origin_tokens_len + 2
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