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77 lines
2.8 KiB
Python
77 lines
2.8 KiB
Python
# coding=utf-8
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# Copyright 2020 Ecole Polytechnique and 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 unittest
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from transformers import BarthezTokenizer, BarthezTokenizerFast, BatchEncoding
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from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch
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from .test_tokenization_common import TokenizerTesterMixin
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@require_tokenizers
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@require_sentencepiece
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class BarthezTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
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tokenizer_class = BarthezTokenizer
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rust_tokenizer_class = BarthezTokenizerFast
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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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tokenizer = BarthezTokenizerFast.from_pretrained("moussaKam/mbarthez")
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tokenizer.save_pretrained(self.tmpdirname)
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tokenizer.save_pretrained(self.tmpdirname, legacy_format=False)
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self.tokenizer = tokenizer
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@require_torch
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def test_prepare_batch(self):
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src_text = ["A long paragraph for summarization.", "Another paragraph for summarization."]
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expected_src_tokens = [0, 57, 3018, 70307, 91, 2]
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batch = self.tokenizer(
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src_text, max_length=len(expected_src_tokens), padding=True, truncation=True, return_tensors="pt"
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)
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self.assertIsInstance(batch, BatchEncoding)
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self.assertEqual((2, 6), batch.input_ids.shape)
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self.assertEqual((2, 6), batch.attention_mask.shape)
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result = batch.input_ids.tolist()[0]
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self.assertListEqual(expected_src_tokens, result)
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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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