





from ... import PretrainedConfig


UpperCamelCase__      ={
    'sijunhe/nezha-cn-base': 'https://huggingface.co/sijunhe/nezha-cn-base/resolve/main/config.json',
}





class 			lowerCAmelCase__( __lowercase    ):






       '''simple docstring'''


       __snake_case 			=    NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP
       __snake_case 			=    'nezha'




       def __init__(      self    ,						__lowerCamelCase=2_1_1_2_8    ,						__lowerCamelCase=7_6_8    ,						__lowerCamelCase=1_2    ,						__lowerCamelCase=1_2    ,						__lowerCamelCase=3_0_7_2    ,						__lowerCamelCase="gelu"    ,						__lowerCamelCase=0.1    ,						__lowerCamelCase=0.1    ,						__lowerCamelCase=5_1_2    ,						__lowerCamelCase=6_4    ,						__lowerCamelCase=2    ,						__lowerCamelCase=0.02    ,						__lowerCamelCase=1E-12    ,						__lowerCamelCase=0.1    ,						__lowerCamelCase=0    ,						__lowerCamelCase=2    ,						__lowerCamelCase=3    ,						__lowerCamelCase=True    ,						**__lowerCamelCase    ,						)			->     Tuple:
            super().__init__(pad_token_id=__lowerCamelCase    ,						bos_token_id=__lowerCamelCase    ,						eos_token_id=__lowerCamelCase    ,						**__lowerCamelCase							)

            _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							vocab_size
            _SCREAMING_SNAKE_CASE       :	Tuple						    =							hidden_size
            _SCREAMING_SNAKE_CASE       :	int						    =							num_hidden_layers
            _SCREAMING_SNAKE_CASE       :	int						    =							num_attention_heads
            _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							hidden_act
            _SCREAMING_SNAKE_CASE       :	str						    =							intermediate_size
            _SCREAMING_SNAKE_CASE       :	Any						    =							hidden_dropout_prob
            _SCREAMING_SNAKE_CASE       :	Any						    =							attention_probs_dropout_prob
            _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							max_position_embeddings
            _SCREAMING_SNAKE_CASE       :	List[Any]						    =							max_relative_position
            _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							type_vocab_size
            _SCREAMING_SNAKE_CASE       :	List[Any]						    =							initializer_range
            _SCREAMING_SNAKE_CASE       :	str						    =							layer_norm_eps
            _SCREAMING_SNAKE_CASE       :	Optional[int]						    =							classifier_dropout
            _SCREAMING_SNAKE_CASE       :	int						    =							use_cache






import os
import pickle
import unittest

from transformers import AutoTokenizer
from transformers.models.bert.tokenization_bert import BertTokenizer
from transformers.models.bert_japanese.tokenization_bert_japanese import (
    VOCAB_FILES_NAMES,
    BertJapaneseTokenizer,
    CharacterTokenizer,
    JumanppTokenizer,
    MecabTokenizer,
    SudachiTokenizer,
    WordpieceTokenizer,
)
from transformers.testing_utils import custom_tokenizers, require_jumanpp, require_sudachi

from ...test_tokenization_common import TokenizerTesterMixin





@custom_tokenizers
class 			lowerCAmelCase__( __lowercase  ,     unittest.TestCase    ):






       '''simple docstring'''


       __snake_case 			=    BertJapaneseTokenizer
       __snake_case 			=    False
       __snake_case 			=    True




       def     UpperCamelCase_			(      self							)			->     Dict:
            super().setUp()

            _SCREAMING_SNAKE_CASE       :	Dict						    =							[
                "[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",
                "、",
                "##、",
                "。",
                "##。",
            ]

            _SCREAMING_SNAKE_CASE       :	int						    =							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     UpperCamelCase_			(      self    ,						__lowerCamelCase							)			->     List[str]:
            _SCREAMING_SNAKE_CASE       :	List[Any]						    =							"こんにちは、世界。 \nこんばんは、世界。"
            _SCREAMING_SNAKE_CASE       :	str						    =							"こんにちは 、 世界 。 こんばんは 、 世界 。"
            return input_text, output_text




       def     UpperCamelCase_			(      self    ,						__lowerCamelCase							)			->     Dict:
            _SCREAMING_SNAKE_CASE    ,			_SCREAMING_SNAKE_CASE       :	int						    =							self.get_input_output_texts(__lowerCamelCase							)
            _SCREAMING_SNAKE_CASE       :	List[Any]						    =							tokenizer.encode(__lowerCamelCase    ,						add_special_tokens=__lowerCamelCase							)
            _SCREAMING_SNAKE_CASE       :	str						    =							tokenizer.decode(__lowerCamelCase    ,						clean_up_tokenization_spaces=__lowerCamelCase							)
            return text, ids




       def     UpperCamelCase_			(      self							)			->     List[str]:
            pass  # TODO add if relevant




       def     UpperCamelCase_			(      self							)			->     Union[str, Any]:
            pass  # TODO add if relevant




       def     UpperCamelCase_			(      self							)			->     List[str]:
            pass  # TODO add if relevant




       def     UpperCamelCase_			(      self							)			->     Union[str, Any]:
            _SCREAMING_SNAKE_CASE       :	str						    =							self.tokenizer_class(self.vocab_file							)

            _SCREAMING_SNAKE_CASE       :	int						    =							tokenizer.tokenize("こんにちは、世界。\nこんばんは、世界。"							)
            self.assertListEqual(__lowerCamelCase    ,						["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]							)
            self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCamelCase							)    ,						[3, 1_2, 1_0, 1_4, 4, 9, 1_2, 1_0, 1_4]							)




       def     UpperCamelCase_			(      self							)			->     Optional[int]:
            _SCREAMING_SNAKE_CASE       :	Tuple						    =							self.tokenizer_class(self.vocab_file    ,						word_tokenizer_type="mecab"							)
            self.assertIsNotNone(__lowerCamelCase							)

            _SCREAMING_SNAKE_CASE       :	int						    =							"こんにちは、世界。\nこんばんは、世界。"
            _SCREAMING_SNAKE_CASE       :	List[Any]						    =							tokenizer.tokenize(__lowerCamelCase							)
            self.assertListEqual(__lowerCamelCase    ,						["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]							)
            self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCamelCase							)    ,						[3, 1_2, 1_0, 1_4, 4, 9, 1_2, 1_0, 1_4]							)

            _SCREAMING_SNAKE_CASE       :	int						    =							os.path.join(self.tmpdirname    ,						"tokenizer.bin"							)
            with open(__lowerCamelCase    ,						"wb"							) as handle:
                 pickle.dump(__lowerCamelCase    ,						__lowerCamelCase							)

            with open(__lowerCamelCase    ,						"rb"							) as handle:
                 _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							pickle.load(__lowerCamelCase							)

            _SCREAMING_SNAKE_CASE       :	Any						    =							tokenizer_new.tokenize(__lowerCamelCase							)

            self.assertListEqual(__lowerCamelCase    ,						__lowerCamelCase							)




       def     UpperCamelCase_			(      self							)			->     Optional[int]:
            _SCREAMING_SNAKE_CASE       :	Any						    =							MecabTokenizer(mecab_dic="ipadic"							)

            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     UpperCamelCase_			(      self							)			->     str:
            try:
                 _SCREAMING_SNAKE_CASE       :	List[Any]						    =							MecabTokenizer(mecab_dic="unidic_lite"							)
            except ModuleNotFoundError:
                 return

            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     UpperCamelCase_			(      self							)			->     List[Any]:
            try:
                 _SCREAMING_SNAKE_CASE       :	Dict						    =							MecabTokenizer(mecab_dic="unidic"							)
            except ModuleNotFoundError:
                 return

            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     UpperCamelCase_			(      self							)			->     Optional[Any]:
            _SCREAMING_SNAKE_CASE       :	Dict						    =							MecabTokenizer(do_lower_case=__lowerCamelCase    ,						mecab_dic="ipadic"							)

            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     UpperCamelCase_			(      self							)			->     Dict:
            try:
                 _SCREAMING_SNAKE_CASE       :	Any						    =							MecabTokenizer(
                     do_lower_case=__lowerCamelCase    ,						normalize_text=__lowerCamelCase    ,						mecab_option="-d /usr/local/lib/mecab/dic/jumandic"							)
            except RuntimeError:
                 # if dict doesn't exist in the system, previous code raises this error.
                 return

            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", "\u3000", "。"]    ,						)




       def     UpperCamelCase_			(      self							)			->     List[str]:
            _SCREAMING_SNAKE_CASE       :	List[str]						    =							MecabTokenizer(normalize_text=__lowerCamelCase    ,						mecab_dic="ipadic"							)

            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", "　", "。"]    ,						)




       @require_sudachi
       def     UpperCamelCase_			(      self							)			->     Dict:
            _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							self.tokenizer_class(self.vocab_file    ,						word_tokenizer_type="sudachi"							)
            self.assertIsNotNone(__lowerCamelCase							)

            _SCREAMING_SNAKE_CASE       :	int						    =							"こんにちは、世界。\nこんばんは、世界。"
            _SCREAMING_SNAKE_CASE       :	List[Any]						    =							tokenizer.tokenize(__lowerCamelCase							)
            self.assertListEqual(__lowerCamelCase    ,						["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]							)
            self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCamelCase							)    ,						[3, 1_2, 1_0, 1_4, 4, 9, 1_2, 1_0, 1_4]							)

            _SCREAMING_SNAKE_CASE       :	Optional[int]						    =							os.path.join(self.tmpdirname    ,						"tokenizer.bin"							)
            with open(__lowerCamelCase    ,						"wb"							) as handle:
                 pickle.dump(__lowerCamelCase    ,						__lowerCamelCase							)

            with open(__lowerCamelCase    ,						"rb"							) as handle:
                 _SCREAMING_SNAKE_CASE       :	List[str]						    =							pickle.load(__lowerCamelCase							)

            _SCREAMING_SNAKE_CASE       :	List[Any]						    =							tokenizer_new.tokenize(__lowerCamelCase							)

            self.assertListEqual(__lowerCamelCase    ,						__lowerCamelCase							)




       @require_sudachi
       def     UpperCamelCase_			(      self							)			->     Optional[int]:
            _SCREAMING_SNAKE_CASE       :	Tuple						    =							SudachiTokenizer(sudachi_dict_type="core"							)

            self.assertListEqual(
                tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "							)    ,						[" ", "\t", "アップル", "ストア", "で", "iPhone", "8", " ", "が", " ", " ", "\n ", "発売", "さ", "れ", "た", " ", "。", " ", " "]    ,						)




       @require_sudachi
       def     UpperCamelCase_			(      self							)			->     Dict:
            _SCREAMING_SNAKE_CASE       :	Tuple						    =							SudachiTokenizer(sudachi_dict_type="core"    ,						sudachi_split_mode="A"							)

            self.assertListEqual(tokenizer.tokenize("外国人参政権"							)    ,						["外国", "人", "参政", "権"]							)




       @require_sudachi
       def     UpperCamelCase_			(      self							)			->     int:
            _SCREAMING_SNAKE_CASE       :	Tuple						    =							SudachiTokenizer(sudachi_dict_type="core"    ,						sudachi_split_mode="B"							)

            self.assertListEqual(tokenizer.tokenize("外国人参政権"							)    ,						["外国人", "参政権"]							)




       @require_sudachi
       def     UpperCamelCase_			(      self							)			->     Optional[Any]:
            _SCREAMING_SNAKE_CASE       :	List[str]						    =							SudachiTokenizer(sudachi_dict_type="core"    ,						sudachi_split_mode="C"							)

            self.assertListEqual(tokenizer.tokenize("外国人参政権"							)    ,						["外国人参政権"]							)




       @require_sudachi
       def     UpperCamelCase_			(      self							)			->     Any:
            _SCREAMING_SNAKE_CASE       :	Dict						    =							SudachiTokenizer(do_lower_case=__lowerCamelCase    ,						sudachi_dict_type="core"							)

            self.assertListEqual(
                tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "							)    ,						[" ", "\t", "アップル", "ストア", "で", "iphone", "8", " ", "が", " ", " ", "\n ", "発売", "さ", "れ", "た", " ", "。", " ", " "]    ,						)




       @require_sudachi
       def     UpperCamelCase_			(      self							)			->     Optional[int]:
            _SCREAMING_SNAKE_CASE       :	List[Any]						    =							SudachiTokenizer(normalize_text=__lowerCamelCase    ,						sudachi_dict_type="core"							)

            self.assertListEqual(
                tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "							)    ,						[" ", "\t", "ｱｯﾌﾟﾙ", "ストア", "で", "iPhone", "８", " ", "が", " ", " ", "\n ", "発売", "さ", "れ", "た", "\u3000", "。", " ", " "]    ,						)




       @require_sudachi
       def     UpperCamelCase_			(      self							)			->     List[Any]:
            _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							SudachiTokenizer(trim_whitespace=__lowerCamelCase    ,						sudachi_dict_type="core"							)

            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", "。"]    ,						)




       @require_jumanpp
       def     UpperCamelCase_			(      self							)			->     Dict:
            _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							self.tokenizer_class(self.vocab_file    ,						word_tokenizer_type="jumanpp"							)
            self.assertIsNotNone(__lowerCamelCase							)

            _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							"こんにちは、世界。\nこんばんは、世界。"
            _SCREAMING_SNAKE_CASE       :	Dict						    =							tokenizer.tokenize(__lowerCamelCase							)
            self.assertListEqual(__lowerCamelCase    ,						["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]							)
            self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCamelCase							)    ,						[3, 1_2, 1_0, 1_4, 4, 9, 1_2, 1_0, 1_4]							)

            _SCREAMING_SNAKE_CASE       :	List[str]						    =							os.path.join(self.tmpdirname    ,						"tokenizer.bin"							)
            with open(__lowerCamelCase    ,						"wb"							) as handle:
                 pickle.dump(__lowerCamelCase    ,						__lowerCamelCase							)

            with open(__lowerCamelCase    ,						"rb"							) as handle:
                 _SCREAMING_SNAKE_CASE       :	Any						    =							pickle.load(__lowerCamelCase							)

            _SCREAMING_SNAKE_CASE       :	Any						    =							tokenizer_new.tokenize(__lowerCamelCase							)

            self.assertListEqual(__lowerCamelCase    ,						__lowerCamelCase							)




       @require_jumanpp
       def     UpperCamelCase_			(      self							)			->     Any:
            _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							JumanppTokenizer()

            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", "\u3000", "が", "\u3000", "\u3000", "\u3000", "発売", "さ", "れた", "\u3000", "。"]    ,						)




       @require_jumanpp
       def     UpperCamelCase_			(      self							)			->     Tuple:
            _SCREAMING_SNAKE_CASE       :	List[Any]						    =							JumanppTokenizer(do_lower_case=__lowerCamelCase							)

            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", "\u3000", "が", "\u3000", "\u3000", "\u3000", "発売", "さ", "れた", "\u3000", "。"]    ,						)




       @require_jumanpp
       def     UpperCamelCase_			(      self							)			->     Optional[int]:
            _SCREAMING_SNAKE_CASE       :	Optional[int]						    =							JumanppTokenizer(normalize_text=__lowerCamelCase							)

            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", "\u3000", "が", "\u3000", "\u3000", "\u3000", "発売", "さ", "れた", "\u3000", "。"]    ,						)




       @require_jumanpp
       def     UpperCamelCase_			(      self							)			->     Any:
            _SCREAMING_SNAKE_CASE       :	List[str]						    =							JumanppTokenizer(trim_whitespace=__lowerCamelCase							)

            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", "。"]    ,						)




       @require_jumanpp
       def     UpperCamelCase_			(      self							)			->     str:
            _SCREAMING_SNAKE_CASE       :	Tuple						    =							JumanppTokenizer()

            self.assertListEqual(
                tokenizer.tokenize("ありがとうございますm(_ _)ｍ見つけるのが大変です。"							)    ,						["ありがとう", "ございます", "m(_ _)m", "見つける", "の", "が", "大変です", "。"]    ,						)




       def     UpperCamelCase_			(      self							)			->     List[str]:
            _SCREAMING_SNAKE_CASE       :	int						    =							["[UNK]", "[CLS]", "[SEP]", "こんにちは", "こん", "にちは", "ばんは", "##こん", "##にちは", "##ばんは"]

            _SCREAMING_SNAKE_CASE       :	str						    =							{}
            for i, token in enumerate(__lowerCamelCase							):
                 _SCREAMING_SNAKE_CASE       :	List[str]						    =							i
            _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							WordpieceTokenizer(vocab=__lowerCamelCase    ,						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"]							)




       def     UpperCamelCase_			(      self							)			->     Optional[int]:
            _SCREAMING_SNAKE_CASE       :	int						    =							BertJapaneseTokenizer.from_pretrained("nlp-waseda/roberta-base-japanese-with-auto-jumanpp"							)
            _SCREAMING_SNAKE_CASE       :	str						    =							tokenizer.subword_tokenizer

            _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							subword_tokenizer.tokenize("国境 の 長い トンネル を 抜ける と 雪国 であった 。"							)
            self.assertListEqual(__lowerCamelCase    ,						["▁国境", "▁の", "▁長い", "▁トンネル", "▁を", "▁抜ける", "▁と", "▁雪", "国", "▁であった", "▁。"]							)

            _SCREAMING_SNAKE_CASE       :	Tuple						    =							subword_tokenizer.tokenize("こんばんは こんばん にち は こんにちは"							)
            self.assertListEqual(__lowerCamelCase    ,						["▁こん", "ばん", "は", "▁こん", "ばん", "▁に", "ち", "▁は", "▁こんにちは"]							)







       def     UpperCamelCase_			(      self							)			->     Any:
            _SCREAMING_SNAKE_CASE       :	Tuple						    =							self.tokenizer_class.from_pretrained("cl-tohoku/bert-base-japanese"							)

            _SCREAMING_SNAKE_CASE       :	List[Any]						    =							tokenizer.encode("ありがとう。"    ,						add_special_tokens=__lowerCamelCase							)
            _SCREAMING_SNAKE_CASE       :	Dict						    =							tokenizer.encode("どういたしまして。"    ,						add_special_tokens=__lowerCamelCase							)

            _SCREAMING_SNAKE_CASE       :	Any						    =							tokenizer.build_inputs_with_special_tokens(__lowerCamelCase							)
            _SCREAMING_SNAKE_CASE       :	Dict						    =							tokenizer.build_inputs_with_special_tokens(__lowerCamelCase    ,						__lowerCamelCase							)

            # 2 is for "[CLS]", 3 is for "[SEP]"
            assert encoded_sentence == [2] + text + [3]
            assert encoded_pair == [2] + text + [3] + text_a + [3]





@custom_tokenizers
class 			lowerCAmelCase__( __lowercase  ,     unittest.TestCase    ):






       '''simple docstring'''


       __snake_case 			=    BertJapaneseTokenizer
       __snake_case 			=    False




       def     UpperCamelCase_			(      self							)			->     Union[str, Any]:
            super().setUp()

            _SCREAMING_SNAKE_CASE       :	List[str]						    =							["[UNK]", "[CLS]", "[SEP]", "こ", "ん", "に", "ち", "は", "ば", "世", "界", "、", "。"]

            _SCREAMING_SNAKE_CASE       :	int						    =							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     UpperCamelCase_			(      self    ,						**__lowerCamelCase							)			->     List[Any]:
            return BertJapaneseTokenizer.from_pretrained(self.tmpdirname    ,						subword_tokenizer_type="character"    ,						**__lowerCamelCase							)




       def     UpperCamelCase_			(      self    ,						__lowerCamelCase							)			->     Optional[int]:
            _SCREAMING_SNAKE_CASE       :	Optional[int]						    =							"こんにちは、世界。 \nこんばんは、世界。"
            _SCREAMING_SNAKE_CASE       :	Dict						    =							"こ ん に ち は 、 世 界 。 こ ん ば ん は 、 世 界 。"
            return input_text, output_text




       def     UpperCamelCase_			(      self							)			->     Tuple:
            pass  # TODO add if relevant




       def     UpperCamelCase_			(      self							)			->     Union[str, Any]:
            pass  # TODO add if relevant




       def     UpperCamelCase_			(      self							)			->     int:
            pass  # TODO add if relevant




       def     UpperCamelCase_			(      self							)			->     Any:
            _SCREAMING_SNAKE_CASE       :	int						    =							self.tokenizer_class(self.vocab_file    ,						subword_tokenizer_type="character"							)

            _SCREAMING_SNAKE_CASE       :	Any						    =							tokenizer.tokenize("こんにちは、世界。 \nこんばんは、世界。"							)
            self.assertListEqual(
                __lowerCamelCase    ,						["こ", "ん", "に", "ち", "は", "、", "世", "界", "。", "こ", "ん", "ば", "ん", "は", "、", "世", "界", "。"]							)
            self.assertListEqual(
                tokenizer.convert_tokens_to_ids(__lowerCamelCase							)    ,						[3, 4, 5, 6, 7, 1_1, 9, 1_0, 1_2, 3, 4, 8, 4, 7, 1_1, 9, 1_0, 1_2]							)




       def     UpperCamelCase_			(      self							)			->     Union[str, Any]:
            _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							["[UNK]", "[CLS]", "[SEP]", "こ", "ん", "に", "ち", "は", "ば", "世", "界", "、", "。"]

            _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							{}
            for i, token in enumerate(__lowerCamelCase							):
                 _SCREAMING_SNAKE_CASE       :	int						    =							i
            _SCREAMING_SNAKE_CASE       :	List[Any]						    =							CharacterTokenizer(vocab=__lowerCamelCase    ,						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]"]							)







       def     UpperCamelCase_			(      self							)			->     List[Any]:
            _SCREAMING_SNAKE_CASE       :	Optional[int]						    =							self.tokenizer_class.from_pretrained("cl-tohoku/bert-base-japanese-char"							)

            _SCREAMING_SNAKE_CASE       :	int						    =							tokenizer.encode("ありがとう。"    ,						add_special_tokens=__lowerCamelCase							)
            _SCREAMING_SNAKE_CASE       :	Any						    =							tokenizer.encode("どういたしまして。"    ,						add_special_tokens=__lowerCamelCase							)

            _SCREAMING_SNAKE_CASE       :	Dict						    =							tokenizer.build_inputs_with_special_tokens(__lowerCamelCase							)
            _SCREAMING_SNAKE_CASE       :	str						    =							tokenizer.build_inputs_with_special_tokens(__lowerCamelCase    ,						__lowerCamelCase							)

            # 2 is for "[CLS]", 3 is for "[SEP]"
            assert encoded_sentence == [2] + text + [3]
            assert encoded_pair == [2] + text + [3] + text_a + [3]





@custom_tokenizers
class 			lowerCAmelCase__( unittest.TestCase    ):






       '''simple docstring'''


       def     UpperCamelCase_			(      self							)			->     List[Any]:
            _SCREAMING_SNAKE_CASE       :	str						    =							"cl-tohoku/bert-base-japanese"
            _SCREAMING_SNAKE_CASE       :	List[Any]						    =							AutoTokenizer.from_pretrained(__lowerCamelCase							)
            self.assertIsInstance(__lowerCamelCase    ,						__lowerCamelCase							)





class 			lowerCAmelCase__( unittest.TestCase    ):






       '''simple docstring'''


       def     UpperCamelCase_			(      self							)			->     str:
            _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							"cl-tohoku/bert-base-japanese"
            with self.assertLogs("transformers"    ,						level="WARNING"							) as cm:
                 BertTokenizer.from_pretrained(__lowerCamelCase							)
                 self.assertTrue(
                     cm.records[0].message.startswith(
                         "The tokenizer class you load from this checkpoint is not the same type as the class this function"
                         " is called from."							)							)
            _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							"bert-base-cased"
            with self.assertLogs("transformers"    ,						level="WARNING"							) as cm:
                 BertJapaneseTokenizer.from_pretrained(__lowerCamelCase							)
                 self.assertTrue(
                     cm.records[0].message.startswith(
                         "The tokenizer class you load from this checkpoint is not the same type as the class this function"
                         " is called from."							)							)