# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors. # # 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.tokenization_bert import WordpieceTokenizer from transformers.tokenization_bert_japanese import ( VOCAB_FILES_NAMES, BertJapaneseTokenizer, CharacterTokenizer, MecabTokenizer, ) from .test_tokenization_common import TokenizerTesterMixin from .utils import custom_tokenizers, slow @custom_tokenizers class BertJapaneseTokenizationTest(TokenizerTesterMixin, unittest.TestCase): tokenizer_class = BertJapaneseTokenizer def setUp(self): super().setUp() vocab_tokens = [ "[UNK]", "[CLS]", "[SEP]", "こんにちは", "こん", "にちは", "ばんは", "##こん", "##にちは", "##ばんは", "世界", "##世界", "、", "##、", "。", "##。", ] 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_tokenizer(self, **kwargs): return BertJapaneseTokenizer.from_pretrained(self.tmpdirname, **kwargs) def get_input_output_texts(self): input_text = "こんにちは、世界。 \nこんばんは、世界。" output_text = "こんにちは 、 世界 。 こんばんは 、 世界 。" return input_text, output_text def test_full_tokenizer(self): tokenizer = self.tokenizer_class(self.vocab_file) tokens = tokenizer.tokenize("こんにちは、世界。\nこんばんは、世界。") self.assertListEqual(tokens, ["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]) self.assertListEqual(tokenizer.convert_tokens_to_ids(tokens), [3, 12, 10, 14, 4, 9, 12, 10, 14]) def test_mecab_tokenizer(self): tokenizer = MecabTokenizer() self.assertListEqual( tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が \n 発売された　。 "), ["アップルストア", "で", "iPhone", "8", "が", "発売", "さ", "れ", "た", "。"], ) def test_mecab_tokenizer_lower(self): tokenizer = MecabTokenizer(do_lower_case=True) self.assertListEqual( tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が \n 発売された　。 "), ["アップルストア", "で", "iphone", "8", "が", "発売", "さ", "れ", "た", "。"], ) def test_mecab_tokenizer_no_normalize(self): tokenizer = MecabTokenizer(normalize_text=False) self.assertListEqual( tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が \n 発売された　。 "), ["ｱｯﾌﾟﾙストア", "で", "iPhone", "８", "が", "発売", "さ", "れ", "た", "　", "。"], ) def test_wordpiece_tokenizer(self): vocab_tokens = ["[UNK]", "[CLS]", "[SEP]", "こんにちは", "こん", "にちは" "ばんは", "##こん", "##にちは", "##ばんは"] 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("こんにちは"), ["こんにちは"]) self.assertListEqual(tokenizer.tokenize("こんばんは"), ["こん", "##ばんは"]) self.assertListEqual(tokenizer.tokenize("こんばんは こんばんにちは こんにちは"), ["こん", "##ばんは", "[UNK]", "こんにちは"]) @slow def test_sequence_builders(self): tokenizer = self.tokenizer_class.from_pretrained("bert-base-japanese") text = tokenizer.encode("ありがとう。", add_special_tokens=False) text_2 = tokenizer.encode("どういたしまして。", add_special_tokens=False) encoded_sentence = tokenizer.build_inputs_with_special_tokens(text) encoded_pair = tokenizer.build_inputs_with_special_tokens(text, text_2) # 2 is for "[CLS]", 3 is for "[SEP]" assert encoded_sentence == [2] + text + [3] assert encoded_pair == [2] + text + [3] + text_2 + [3] class BertJapaneseCharacterTokenizationTest(TokenizerTesterMixin, unittest.TestCase): tokenizer_class = BertJapaneseTokenizer def setUp(self): super().setUp() vocab_tokens = ["[UNK]", "[CLS]", "[SEP]", "こ", "ん", "に", "ち", "は", "ば", "世", "界", "、", "。"] 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_tokenizer(self, **kwargs): return BertJapaneseTokenizer.from_pretrained(self.tmpdirname, subword_tokenizer_type="character", **kwargs) def get_input_output_texts(self): input_text = "こんにちは、世界。 \nこんばんは、世界。" output_text = "こ ん に ち は 、 世 界 。 こ ん ば ん は 、 世 界 。" return input_text, output_text def test_full_tokenizer(self): tokenizer = self.tokenizer_class(self.vocab_file, subword_tokenizer_type="character") tokens = tokenizer.tokenize("こんにちは、世界。 \nこんばんは、世界。") self.assertListEqual( tokens, ["こ", "ん", "に", "ち", "は", "、", "世", "界", "。", "こ", "ん", "ば", "ん", "は", "、", "世", "界", "。"] ) self.assertListEqual( tokenizer.convert_tokens_to_ids(tokens), [3, 4, 5, 6, 7, 11, 9, 10, 12, 3, 4, 8, 4, 7, 11, 9, 10, 12] ) def test_character_tokenizer(self): vocab_tokens = ["[UNK]", "[CLS]", "[SEP]", "こ", "ん", "に", "ち", "は", "ば", "世", "界" "、", "。"] vocab = {} for (i, token) in enumerate(vocab_tokens): vocab[token] = i tokenizer = CharacterTokenizer(vocab=vocab, unk_token="[UNK]") self.assertListEqual(tokenizer.tokenize(""), []) self.assertListEqual(tokenizer.tokenize("こんにちは"), ["こ", "ん", "に", "ち", "は"]) self.assertListEqual(tokenizer.tokenize("こんにちほ"), ["こ", "ん", "に", "ち", "[UNK]"]) @slow def test_sequence_builders(self): tokenizer = self.tokenizer_class.from_pretrained("bert-base-japanese-char") text = tokenizer.encode("ありがとう。", add_special_tokens=False) text_2 = tokenizer.encode("どういたしまして。", add_special_tokens=False) encoded_sentence = tokenizer.build_inputs_with_special_tokens(text) encoded_pair = tokenizer.build_inputs_with_special_tokens(text, text_2) # 2 is for "[CLS]", 3 is for "[SEP]" assert encoded_sentence == [2] + text + [3] assert encoded_pair == [2] + text + [3] + text_2 + [3]