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7e98e211f0
This construct isn't used anymore these days. Running python tests/test_foo.py puts the tests/ directory on PYTHONPATH, which isn't representative of how we run tests. Use python -m unittest tests/test_foo.py instead.
44 lines
1.7 KiB
Python
44 lines
1.7 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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from transformers.tokenization_distilbert import DistilBertTokenizer
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from .test_tokenization_bert import BertTokenizationTest
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from .utils import slow
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class DistilBertTokenizationTest(BertTokenizationTest):
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tokenizer_class = DistilBertTokenizer
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def get_tokenizer(self, **kwargs):
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return DistilBertTokenizer.from_pretrained(self.tmpdirname, **kwargs)
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@slow
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def test_sequence_builders(self):
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tokenizer = DistilBertTokenizer.from_pretrained("distilbert-base-uncased")
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text = tokenizer.encode("sequence builders", add_special_tokens=False)
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text_2 = tokenizer.encode("multi-sequence build", add_special_tokens=False)
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encoded_sentence = tokenizer.build_inputs_with_special_tokens(text)
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encoded_pair = tokenizer.build_inputs_with_special_tokens(text, text_2)
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assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
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assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_2 + [
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tokenizer.sep_token_id
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]
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