# Copyright 2022 The HuggingFace Team. All rights reserved. # # 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 json import os import unittest from transformers.models.roc_bert.tokenization_roc_bert import ( VOCAB_FILES_NAMES, RoCBertBasicTokenizer, RoCBertTokenizer, RoCBertWordpieceTokenizer, _is_control, _is_punctuation, _is_whitespace, ) from transformers.testing_utils import require_tokenizers, slow from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english @require_tokenizers class BertTokenizationTest(TokenizerTesterMixin, unittest.TestCase): from_pretrained_id = "weiweishi/roc-bert-base-zh" tokenizer_class = RoCBertTokenizer rust_tokenizer_class = None test_rust_tokenizer = False space_between_special_tokens = True from_pretrained_filter = filter_non_english @classmethod def setUpClass(cls): super().setUpClass() vocab_tokens = ["[UNK]", "[CLS]", "[SEP]", "[PAD]", "[MASK]", "你", "好", "是", "谁", "a", "b", "c", "d"] word_shape = {} word_pronunciation = {} for i, value in enumerate(vocab_tokens): word_shape[value] = i word_pronunciation[value] = i cls.vocab_file = os.path.join(cls.tmpdirname, VOCAB_FILES_NAMES["vocab_file"]) cls.word_shape_file = os.path.join(cls.tmpdirname, VOCAB_FILES_NAMES["word_shape_file"]) cls.word_pronunciation_file = os.path.join(cls.tmpdirname, VOCAB_FILES_NAMES["word_pronunciation_file"]) with open(cls.vocab_file, "w", encoding="utf-8") as vocab_writer: vocab_writer.write("".join([x + "\n" for x in vocab_tokens])) with open(cls.word_shape_file, "w", encoding="utf-8") as word_shape_writer: json.dump(word_shape, word_shape_writer, ensure_ascii=False) with open(cls.word_pronunciation_file, "w", encoding="utf-8") as word_pronunciation_writer: json.dump(word_pronunciation, word_pronunciation_writer, ensure_ascii=False) def test_full_tokenizer(self): tokenizer = self.tokenizer_class(self.vocab_file, self.word_shape_file, self.word_pronunciation_file) tokens = tokenizer.tokenize("你好[SEP]你是谁") self.assertListEqual(tokens, ["你", "好", "[SEP]", "你", "是", "谁"]) self.assertListEqual(tokenizer.convert_tokens_to_ids(tokens), [5, 6, 2, 5, 7, 8]) self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(tokens), [5, 6, 2, 5, 7, 8]) self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(tokens), [5, 6, 2, 5, 7, 8]) def test_chinese(self): tokenizer = RoCBertBasicTokenizer() self.assertListEqual(tokenizer.tokenize("ah\u535a\u63a8zz"), ["ah", "\u535a", "\u63a8", "zz"]) def test_basic_tokenizer_lower(self): tokenizer = RoCBertBasicTokenizer(do_lower_case=True) self.assertListEqual( tokenizer.tokenize(" \tHeLLo!how \n Are yoU? "), ["hello", "!", "how", "are", "you", "?"] ) self.assertListEqual(tokenizer.tokenize("H\u00e9llo"), ["hello"]) def test_basic_tokenizer_lower_strip_accents_false(self): tokenizer = RoCBertBasicTokenizer(do_lower_case=True, strip_accents=False) self.assertListEqual( tokenizer.tokenize(" \tHäLLo!how \n Are yoU? "), ["hällo", "!", "how", "are", "you", "?"] ) self.assertListEqual(tokenizer.tokenize("H\u00e9llo"), ["h\u00e9llo"]) def test_basic_tokenizer_lower_strip_accents_true(self): tokenizer = RoCBertBasicTokenizer(do_lower_case=True, strip_accents=True) self.assertListEqual( tokenizer.tokenize(" \tHäLLo!how \n Are yoU? "), ["hallo", "!", "how", "are", "you", "?"] ) self.assertListEqual(tokenizer.tokenize("H\u00e9llo"), ["hello"]) def test_basic_tokenizer_lower_strip_accents_default(self): tokenizer = RoCBertBasicTokenizer(do_lower_case=True) self.assertListEqual( tokenizer.tokenize(" \tHäLLo!how \n Are yoU? "), ["hallo", "!", "how", "are", "you", "?"] ) self.assertListEqual(tokenizer.tokenize("H\u00e9llo"), ["hello"]) def test_basic_tokenizer_no_lower(self): tokenizer = RoCBertBasicTokenizer(do_lower_case=False) self.assertListEqual( tokenizer.tokenize(" \tHeLLo!how \n Are yoU? "), ["HeLLo", "!", "how", "Are", "yoU", "?"] ) def test_basic_tokenizer_no_lower_strip_accents_false(self): tokenizer = RoCBertBasicTokenizer(do_lower_case=False, strip_accents=False) self.assertListEqual( tokenizer.tokenize(" \tHäLLo!how \n Are yoU? "), ["HäLLo", "!", "how", "Are", "yoU", "?"] ) def test_basic_tokenizer_no_lower_strip_accents_true(self): tokenizer = RoCBertBasicTokenizer(do_lower_case=False, strip_accents=True) self.assertListEqual( tokenizer.tokenize(" \tHäLLo!how \n Are yoU? "), ["HaLLo", "!", "how", "Are", "yoU", "?"] ) def test_basic_tokenizer_respects_never_split_tokens(self): tokenizer = RoCBertBasicTokenizer(do_lower_case=False, never_split=["[UNK]"]) self.assertListEqual( tokenizer.tokenize(" \tHeLLo!how \n Are yoU? [UNK]"), ["HeLLo", "!", "how", "Are", "yoU", "?", "[UNK]"] ) def test_wordpiece_tokenizer(self): vocab_tokens = ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"] vocab = {} for i, token in enumerate(vocab_tokens): vocab[token] = i tokenizer = RoCBertWordpieceTokenizer(vocab=vocab, unk_token="[UNK]") self.assertListEqual(tokenizer.tokenize(""), []) self.assertListEqual(tokenizer.tokenize("unwanted running"), ["un", "##want", "##ed", "runn", "##ing"]) self.assertListEqual(tokenizer.tokenize("unwantedX running"), ["[UNK]", "runn", "##ing"]) def test_is_whitespace(self): self.assertTrue(_is_whitespace(" ")) self.assertTrue(_is_whitespace("\t")) self.assertTrue(_is_whitespace("\r")) self.assertTrue(_is_whitespace("\n")) self.assertTrue(_is_whitespace("\u00a0")) self.assertFalse(_is_whitespace("A")) self.assertFalse(_is_whitespace("-")) def test_is_control(self): self.assertTrue(_is_control("\u0005")) self.assertFalse(_is_control("A")) self.assertFalse(_is_control(" ")) self.assertFalse(_is_control("\t")) self.assertFalse(_is_control("\r")) def test_is_punctuation(self): self.assertTrue(_is_punctuation("-")) self.assertTrue(_is_punctuation("$")) self.assertTrue(_is_punctuation("`")) self.assertTrue(_is_punctuation(".")) self.assertFalse(_is_punctuation("A")) self.assertFalse(_is_punctuation(" ")) def test_clean_text(self): tokenizer = self.get_tokenizer() # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340 self.assertListEqual([tokenizer.tokenize(t) for t in ["Test", "\xad", "test"]], [["[UNK]"], [], ["[UNK]"]]) if self.test_rust_tokenizer: rust_tokenizer = self.get_tokenizer() self.assertListEqual( [rust_tokenizer.tokenize(t) for t in ["Test", "\xad", "test"]], [["[UNK]"], [], ["[UNK]"]] ) def test_change_tokenize_chinese_chars(self): list_of_common_chinese_char = ["的", "人", "有"] text_with_chinese_char = "".join(list_of_common_chinese_char) for tokenizer, pretrained_name, kwargs in self.tokenizers_list: with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"): kwargs["tokenize_chinese_chars"] = True tokenizer_p = self.get_tokenizer(pretrained_name, **kwargs) tokenizer_r = self.get_tokenizer(pretrained_name, **kwargs) ids_without_spe_char_p = tokenizer_p.encode(text_with_chinese_char, add_special_tokens=False) ids_without_spe_char_r = tokenizer_r.encode(text_with_chinese_char, add_special_tokens=False) tokens_without_spe_char_r = tokenizer_r.convert_ids_to_tokens(ids_without_spe_char_r) tokens_without_spe_char_p = tokenizer_p.convert_ids_to_tokens(ids_without_spe_char_p) # it is expected that each Chinese character is not preceded by "##" self.assertListEqual(tokens_without_spe_char_p, list_of_common_chinese_char) self.assertListEqual(tokens_without_spe_char_r, list_of_common_chinese_char) kwargs["tokenize_chinese_chars"] = False tokenizer_r = self.get_tokenizer(pretrained_name, **kwargs) tokenizer_p = self.get_tokenizer(pretrained_name, **kwargs) ids_without_spe_char_r = tokenizer_r.encode(text_with_chinese_char, add_special_tokens=False) ids_without_spe_char_p = tokenizer_p.encode(text_with_chinese_char, add_special_tokens=False) tokens_without_spe_char_r = tokenizer_r.convert_ids_to_tokens(ids_without_spe_char_r) tokens_without_spe_char_p = tokenizer_p.convert_ids_to_tokens(ids_without_spe_char_p) # it is expected that only the first Chinese character is not preceded by "##". expected_tokens = [ f"##{token}" if idx != 0 else token for idx, token in enumerate(list_of_common_chinese_char) ] self.assertListEqual(tokens_without_spe_char_p, expected_tokens) self.assertListEqual(tokens_without_spe_char_r, expected_tokens) @slow def test_sequence_builders(self): tokenizer = self.tokenizer_class(self.vocab_file, self.word_shape_file, self.word_pronunciation_file) text = tokenizer.encode("你好", add_special_tokens=False) text_2 = tokenizer.encode("你是谁", add_special_tokens=False) encoded_sentence = tokenizer.build_inputs_with_special_tokens(text) encoded_pair = tokenizer.build_inputs_with_special_tokens(text, text_2) assert encoded_sentence == [1] + text + [2] assert encoded_pair == [1] + text + [2] + text_2 + [2] def test_prepare_for_model(self): tokenizers = self.get_tokenizers(do_lower_case=False) for tokenizer in tokenizers: with self.subTest(f"{tokenizer.__class__.__name__}"): string_sequence = "你好，你是谁" tokens = tokenizer.tokenize(string_sequence) tokens_ids = tokenizer.convert_tokens_to_ids(tokens) tokens_shape_ids = tokenizer.convert_tokens_to_shape_ids(tokens) tokens_proun_ids = tokenizer.convert_tokens_to_pronunciation_ids(tokens) prepared_input_dict = tokenizer.prepare_for_model( tokens_ids, tokens_shape_ids, tokens_proun_ids, add_special_tokens=True ) input_dict = tokenizer(string_sequence, add_special_tokens=True) self.assertEqual(input_dict, prepared_input_dict)