wehub-resource-sync
63 lines
2.2 KiB
Python
63 lines
2.2 KiB
Python
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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# Copyright 2020 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 json
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import os
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import tempfile
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import unittest
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from paddlenlp.transformers import BertTokenizer
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from paddlenlp.transformers.tokenizer_utils import PretrainedTokenizer
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from paddlenlp.utils.env import TOKENIZER_CONFIG_NAME
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class EmptyTokenizer(PretrainedTokenizer):
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def __init__(self, a=1, b=2):
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pass
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class SubEmptyTokenizer(EmptyTokenizer):
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def __init__(self, c=3, d=4):
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super().__init__(a=c, b=d)
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class TokenizerUtilsTest(unittest.TestCase):
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def test_multi_inherit(self):
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tokenizer = SubEmptyTokenizer()
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self.assertIn("c", tokenizer.init_kwargs)
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self.assertEqual(tokenizer.init_kwargs["c"], 3)
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def test_config(self):
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tmpdirname = tempfile.mkdtemp()
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tokenizer = SubEmptyTokenizer()
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tokenizer.save_pretrained(tmpdirname)
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with open(os.path.join(tmpdirname, "tokenizer_config.json"), "r", encoding="utf-8") as f:
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data = json.load(f)
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self.assertIn("c", data)
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self.assertEqual(data["c"], 3)
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self.assertEqual(data["tokenizer_class"], "SubEmptyTokenizer")
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def test_from_pretrained_cache_dir(self):
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model_name = "__internal_testing__/tiny-random-bert"
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with tempfile.TemporaryDirectory() as tempdir:
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BertTokenizer.from_pretrained(model_name, cache_dir=tempdir)
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self.assertTrue(os.path.exists(os.path.join(tempdir, model_name, TOKENIZER_CONFIG_NAME)))
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# check against double appending model_name in cache_dir
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self.assertFalse(os.path.exists(os.path.join(tempdir, model_name, model_name)))
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