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| # Copyright 2025 the LlamaFactory team. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| import os | |
| import pytest | |
| from llamafactory.hparams import ModelArguments | |
| from llamafactory.model import load_tokenizer | |
| TINY_LLAMA3 = os.getenv("TINY_LLAMA3", "llamafactory/tiny-random-Llama-3") | |
| UNUSED_TOKEN = "<|UNUSED_TOKEN|>" | |
| def test_add_tokens(special_tokens: bool): | |
| if special_tokens: | |
| model_args = ModelArguments(model_name_or_path=TINY_LLAMA3, add_special_tokens=UNUSED_TOKEN) | |
| else: | |
| model_args = ModelArguments(model_name_or_path=TINY_LLAMA3, add_tokens=UNUSED_TOKEN) | |
| tokenizer = load_tokenizer(model_args)["tokenizer"] | |
| encoded_ids = tokenizer.encode(UNUSED_TOKEN, add_special_tokens=False) | |
| assert len(encoded_ids) == 1 | |
| decoded_str = tokenizer.decode(encoded_ids, skip_special_tokens=True) | |
| if special_tokens: | |
| assert decoded_str == "" | |
| else: | |
| assert decoded_str == UNUSED_TOKEN | |
| if __name__ == "__main__": | |
| pytest.main([__file__]) | |