91 lines
3.3 KiB
Python
91 lines
3.3 KiB
Python
# coding=utf-8
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# Copyright 2018 HuggingFace Inc. team.
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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 os
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import unittest
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from transformers import CamembertTokenizer, CamembertTokenizerFast
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from transformers.file_utils import is_torch_available
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from transformers.testing_utils import require_sentencepiece, require_tokenizers
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from .test_tokenization_common import TokenizerTesterMixin
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SAMPLE_VOCAB = os.path.join(os.path.dirname(os.path.abspath(__file__)), "fixtures/test_sentencepiece.model")
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SAMPLE_BPE_VOCAB = os.path.join(os.path.dirname(os.path.abspath(__file__)), "fixtures/test_sentencepiece_bpe.model")
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FRAMEWORK = "pt" if is_torch_available() else "tf"
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@require_sentencepiece
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@require_tokenizers
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class CamembertTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
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tokenizer_class = CamembertTokenizer
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rust_tokenizer_class = CamembertTokenizerFast
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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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# We have a SentencePiece fixture for testing
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tokenizer = CamembertTokenizer(SAMPLE_VOCAB)
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tokenizer.save_pretrained(self.tmpdirname)
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def test_rust_and_python_bpe_tokenizers(self):
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tokenizer = CamembertTokenizer(SAMPLE_BPE_VOCAB)
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tokenizer.save_pretrained(self.tmpdirname)
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rust_tokenizer = CamembertTokenizerFast.from_pretrained(self.tmpdirname)
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sequence = "I was born in 92000, and this is falsé."
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ids = tokenizer.encode(sequence)
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rust_ids = rust_tokenizer.encode(sequence)
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self.assertListEqual(ids, rust_ids)
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ids = tokenizer.encode(sequence, add_special_tokens=False)
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rust_ids = rust_tokenizer.encode(sequence, add_special_tokens=False)
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self.assertListEqual(ids, rust_ids)
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# <unk> tokens are not the same for `rust` than for `slow`.
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# Because spm gives back raw token instead of `unk` in EncodeAsPieces
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# tokens = tokenizer.tokenize(sequence)
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tokens = tokenizer.convert_ids_to_tokens(ids)
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rust_tokens = rust_tokenizer.tokenize(sequence)
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self.assertListEqual(tokens, rust_tokens)
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def test_rust_and_python_full_tokenizers(self):
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if not self.test_rust_tokenizer:
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return
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tokenizer = self.get_tokenizer()
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rust_tokenizer = self.get_rust_tokenizer()
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sequence = "I was born in 92000, and this is falsé."
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tokens = tokenizer.tokenize(sequence)
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rust_tokens = rust_tokenizer.tokenize(sequence)
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self.assertListEqual(tokens, rust_tokens)
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ids = tokenizer.encode(sequence, add_special_tokens=False)
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rust_ids = rust_tokenizer.encode(sequence, add_special_tokens=False)
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self.assertListEqual(ids, rust_ids)
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rust_tokenizer = self.get_rust_tokenizer()
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ids = tokenizer.encode(sequence)
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rust_ids = rust_tokenizer.encode(sequence)
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self.assertListEqual(ids, rust_ids)
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