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| # coding=utf-8 | |
| # Copyright 2020 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 os | |
| import unittest | |
| from transformers import BertTokenizerFast | |
| from transformers.models.bert.tokenization_bert import ( | |
| VOCAB_FILES_NAMES, | |
| BasicTokenizer, | |
| BertTokenizer, | |
| WordpieceTokenizer, | |
| _is_control, | |
| _is_punctuation, | |
| _is_whitespace, | |
| ) | |
| from transformers.testing_utils import require_tokenizers, slow | |
| from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english | |
| class BertTokenizationTest(TokenizerTesterMixin, unittest.TestCase): | |
| tokenizer_class = BertTokenizer | |
| rust_tokenizer_class = BertTokenizerFast | |
| test_rust_tokenizer = True | |
| space_between_special_tokens = True | |
| from_pretrained_filter = filter_non_english | |
| def setUp(self): | |
| super().setUp() | |
| vocab_tokens = [ | |
| "[UNK]", | |
| "[CLS]", | |
| "[SEP]", | |
| "[PAD]", | |
| "[MASK]", | |
| "want", | |
| "##want", | |
| "##ed", | |
| "wa", | |
| "un", | |
| "runn", | |
| "##ing", | |
| ",", | |
| "low", | |
| "lowest", | |
| ] | |
| self.vocab_file = os.path.join(self.tmpdirname, VOCAB_FILES_NAMES["vocab_file"]) | |
| with open(self.vocab_file, "w", encoding="utf-8") as vocab_writer: | |
| vocab_writer.write("".join([x + "\n" for x in vocab_tokens])) | |
| def get_input_output_texts(self, tokenizer): | |
| input_text = "UNwant\u00E9d,running" | |
| output_text = "unwanted, running" | |
| return input_text, output_text | |
| def test_full_tokenizer(self): | |
| tokenizer = self.tokenizer_class(self.vocab_file) | |
| tokens = tokenizer.tokenize("UNwant\u00E9d,running") | |
| self.assertListEqual(tokens, ["un", "##want", "##ed", ",", "runn", "##ing"]) | |
| self.assertListEqual(tokenizer.convert_tokens_to_ids(tokens), [9, 6, 7, 12, 10, 11]) | |
| def test_rust_and_python_full_tokenizers(self): | |
| if not self.test_rust_tokenizer: | |
| return | |
| tokenizer = self.get_tokenizer() | |
| rust_tokenizer = self.get_rust_tokenizer() | |
| sequence = "UNwant\u00E9d,running" | |
| tokens = tokenizer.tokenize(sequence) | |
| rust_tokens = rust_tokenizer.tokenize(sequence) | |
| self.assertListEqual(tokens, rust_tokens) | |
| ids = tokenizer.encode(sequence, add_special_tokens=False) | |
| rust_ids = rust_tokenizer.encode(sequence, add_special_tokens=False) | |
| self.assertListEqual(ids, rust_ids) | |
| rust_tokenizer = self.get_rust_tokenizer() | |
| ids = tokenizer.encode(sequence) | |
| rust_ids = rust_tokenizer.encode(sequence) | |
| self.assertListEqual(ids, rust_ids) | |
| # With lower casing | |
| tokenizer = self.get_tokenizer(do_lower_case=True) | |
| rust_tokenizer = self.get_rust_tokenizer(do_lower_case=True) | |
| sequence = "UNwant\u00E9d,running" | |
| tokens = tokenizer.tokenize(sequence) | |
| rust_tokens = rust_tokenizer.tokenize(sequence) | |
| self.assertListEqual(tokens, rust_tokens) | |
| ids = tokenizer.encode(sequence, add_special_tokens=False) | |
| rust_ids = rust_tokenizer.encode(sequence, add_special_tokens=False) | |
| self.assertListEqual(ids, rust_ids) | |
| rust_tokenizer = self.get_rust_tokenizer() | |
| ids = tokenizer.encode(sequence) | |
| rust_ids = rust_tokenizer.encode(sequence) | |
| self.assertListEqual(ids, rust_ids) | |
| def test_chinese(self): | |
| tokenizer = BasicTokenizer() | |
| self.assertListEqual(tokenizer.tokenize("ah\u535A\u63A8zz"), ["ah", "\u535A", "\u63A8", "zz"]) | |
| def test_basic_tokenizer_lower(self): | |
| tokenizer = BasicTokenizer(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 = BasicTokenizer(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 = BasicTokenizer(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 = BasicTokenizer(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 = BasicTokenizer(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 = BasicTokenizer(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 = BasicTokenizer(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 = BasicTokenizer(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 = WordpieceTokenizer(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() | |
| rust_tokenizer = self.get_rust_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]"]]) | |
| self.assertListEqual( | |
| [rust_tokenizer.tokenize(t) for t in ["Test", "\xad", "test"]], [["[UNK]"], [], ["[UNK]"]] | |
| ) | |
| def test_sequence_builders(self): | |
| tokenizer = self.tokenizer_class.from_pretrained("bert-base-uncased") | |
| text = tokenizer.encode("sequence builders", add_special_tokens=False) | |
| text_2 = tokenizer.encode("multi-sequence build", 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 == [101] + text + [102] | |
| assert encoded_pair == [101] + text + [102] + text_2 + [102] | |
| def test_offsets_with_special_characters(self): | |
| for tokenizer, pretrained_name, kwargs in self.tokenizers_list: | |
| with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"): | |
| tokenizer_r = self.rust_tokenizer_class.from_pretrained(pretrained_name, **kwargs) | |
| sentence = f"A, naïve {tokenizer_r.mask_token} AllenNLP sentence." | |
| tokens = tokenizer_r.encode_plus( | |
| sentence, | |
| return_attention_mask=False, | |
| return_token_type_ids=False, | |
| return_offsets_mapping=True, | |
| add_special_tokens=True, | |
| ) | |
| do_lower_case = tokenizer_r.do_lower_case if hasattr(tokenizer_r, "do_lower_case") else False | |
| expected_results = ( | |
| [ | |
| ((0, 0), tokenizer_r.cls_token), | |
| ((0, 1), "A"), | |
| ((1, 2), ","), | |
| ((3, 5), "na"), | |
| ((5, 6), "##ï"), | |
| ((6, 8), "##ve"), | |
| ((9, 15), tokenizer_r.mask_token), | |
| ((16, 21), "Allen"), | |
| ((21, 23), "##NL"), | |
| ((23, 24), "##P"), | |
| ((25, 33), "sentence"), | |
| ((33, 34), "."), | |
| ((0, 0), tokenizer_r.sep_token), | |
| ] | |
| if not do_lower_case | |
| else [ | |
| ((0, 0), tokenizer_r.cls_token), | |
| ((0, 1), "a"), | |
| ((1, 2), ","), | |
| ((3, 8), "naive"), | |
| ((9, 15), tokenizer_r.mask_token), | |
| ((16, 21), "allen"), | |
| ((21, 23), "##nl"), | |
| ((23, 24), "##p"), | |
| ((25, 33), "sentence"), | |
| ((33, 34), "."), | |
| ((0, 0), tokenizer_r.sep_token), | |
| ] | |
| ) | |
| self.assertEqual( | |
| [e[1] for e in expected_results], tokenizer_r.convert_ids_to_tokens(tokens["input_ids"]) | |
| ) | |
| self.assertEqual([e[0] for e in expected_results], tokens["offset_mapping"]) | |
| def test_change_tokenize_chinese_chars(self): | |
| list_of_commun_chinese_char = ["的", "人", "有"] | |
| text_with_chinese_char = "".join(list_of_commun_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.tokenizer_class.from_pretrained(pretrained_name, **kwargs) | |
| tokenizer_r = self.rust_tokenizer_class.from_pretrained(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_commun_chinese_char) | |
| self.assertListEqual(tokens_without_spe_char_r, list_of_commun_chinese_char) | |
| kwargs["tokenize_chinese_chars"] = False | |
| tokenizer_r = self.rust_tokenizer_class.from_pretrained(pretrained_name, **kwargs) | |
| tokenizer_p = self.tokenizer_class.from_pretrained(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_commun_chinese_char) | |
| ] | |
| self.assertListEqual(tokens_without_spe_char_p, expected_tokens) | |
| self.assertListEqual(tokens_without_spe_char_r, expected_tokens) | |