






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 			SCREAMING_SNAKE_CASE      (      lowerCAmelCase   ,		unittest.TestCase       ):
     '''simple docstring'''


     UpperCamelCase_				:		List[Any]								=						BertJapaneseTokenizer
     UpperCamelCase_				:		Optional[Any]								=						False
     UpperCamelCase_				:		str								=						True


     def 					_A							(					self							:						Tuple   ):
       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							:   Optional[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 					_A							(					self							:						Tuple       ,			UpperCAmelCase_							:						int   ):
       SCREAMING_SNAKE_CASE							:   List[str]						    =     "こんにちは、世界。 \nこんばんは、世界。"
       SCREAMING_SNAKE_CASE							:   Tuple						    =     "こんにちは 、 世界 。 こんばんは 、 世界 。"
       return input_text, output_text


     def 					_A							(					self							:						List[Any]       ,			UpperCAmelCase_							:						Any   ):
       SCREAMING_SNAKE_CASE    ,	SCREAMING_SNAKE_CASE							:   List[Any]						    =     self.get_input_output_texts(UpperCAmelCase_   )
       SCREAMING_SNAKE_CASE							:   Optional[Any]						    =     tokenizer.encode(UpperCAmelCase_       ,			add_special_tokens=UpperCAmelCase_   )
       SCREAMING_SNAKE_CASE							:   str						    =     tokenizer.decode(UpperCAmelCase_       ,			clean_up_tokenization_spaces=UpperCAmelCase_   )
       return text, ids


     def 					_A							(					self							:						List[Any]   ):
       pass  # TODO add if relevant


     def 					_A							(					self							:						str   ):
       pass  # TODO add if relevant


     def 					_A							(					self							:						Optional[Any]   ):
       pass  # TODO add if relevant


     def 					_A							(					self							:						Optional[Any]   ):
       SCREAMING_SNAKE_CASE							:   Tuple						    =     self.tokenizer_class(self.vocab_file   )

       SCREAMING_SNAKE_CASE							:   Optional[Any]						    =     tokenizer.tokenize("こんにちは、世界。\nこんばんは、世界。"   )
       self.assertListEqual(UpperCAmelCase_       ,			["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]   )
       self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_   )       ,			[3, 12, 10, 14, 4, 9, 12, 10, 14]   )


     def 					_A							(					self							:						Any   ):
       SCREAMING_SNAKE_CASE							:   Optional[Any]						    =     self.tokenizer_class(self.vocab_file       ,			word_tokenizer_type="mecab"   )
       self.assertIsNotNone(UpperCAmelCase_   )

       SCREAMING_SNAKE_CASE							:   str						    =     "こんにちは、世界。\nこんばんは、世界。"
       SCREAMING_SNAKE_CASE							:   Optional[Any]						    =     tokenizer.tokenize(UpperCAmelCase_   )
       self.assertListEqual(UpperCAmelCase_       ,			["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]   )
       self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_   )       ,			[3, 12, 10, 14, 4, 9, 12, 10, 14]   )

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

       with open(UpperCAmelCase_       ,			"rb"   ) as handle:
         SCREAMING_SNAKE_CASE							:   List[Any]						    =     pickle.load(UpperCAmelCase_   )

       SCREAMING_SNAKE_CASE							:   str						    =     tokenizer_new.tokenize(UpperCAmelCase_   )

       self.assertListEqual(UpperCAmelCase_       ,			UpperCAmelCase_   )


     def 					_A							(					self							:						Union[str, Any]   ):
       SCREAMING_SNAKE_CASE							:   Optional[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 					_A							(					self							:						Dict   ):
       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 					_A							(					self							:						Dict   ):
       try:
         SCREAMING_SNAKE_CASE							:   Optional[Any]						    =     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 					_A							(					self							:						Optional[int]   ):
       SCREAMING_SNAKE_CASE							:   Any						    =     MecabTokenizer(do_lower_case=UpperCAmelCase_       ,			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 					_A							(					self							:						List[str]   ):
       try:
         SCREAMING_SNAKE_CASE							:   Tuple						    =     MecabTokenizer(
             do_lower_case=UpperCAmelCase_       ,			normalize_text=UpperCAmelCase_       ,			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 					_A							(					self							:						Dict   ):
       SCREAMING_SNAKE_CASE							:   List[Any]						    =     MecabTokenizer(normalize_text=UpperCAmelCase_       ,			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 					_A							(					self							:						Dict   ):
       SCREAMING_SNAKE_CASE							:   Any						    =     self.tokenizer_class(self.vocab_file       ,			word_tokenizer_type="sudachi"   )
       self.assertIsNotNone(UpperCAmelCase_   )

       SCREAMING_SNAKE_CASE							:   List[str]						    =     "こんにちは、世界。\nこんばんは、世界。"
       SCREAMING_SNAKE_CASE							:   List[str]						    =     tokenizer.tokenize(UpperCAmelCase_   )
       self.assertListEqual(UpperCAmelCase_       ,			["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]   )
       self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_   )       ,			[3, 12, 10, 14, 4, 9, 12, 10, 14]   )

       SCREAMING_SNAKE_CASE							:   Tuple						    =     os.path.join(self.tmpdirname       ,			"tokenizer.bin"   )
       with open(UpperCAmelCase_       ,			"wb"   ) as handle:
         pickle.dump(UpperCAmelCase_       ,			UpperCAmelCase_   )

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

       SCREAMING_SNAKE_CASE							:   Optional[int]						    =     tokenizer_new.tokenize(UpperCAmelCase_   )

       self.assertListEqual(UpperCAmelCase_       ,			UpperCAmelCase_   )


     @require_sudachi
     def 					_A							(					self							:						List[str]   ):
       SCREAMING_SNAKE_CASE							:   str						    =     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 					_A							(					self							:						Union[str, Any]   ):
       SCREAMING_SNAKE_CASE							:   Any						    =     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 					_A							(					self							:						Optional[Any]   ):
       SCREAMING_SNAKE_CASE							:   str						    =     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 					_A							(					self							:						str   ):
       SCREAMING_SNAKE_CASE							:   Dict						    =     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 					_A							(					self							:						List[Any]   ):
       SCREAMING_SNAKE_CASE							:   Dict						    =     SudachiTokenizer(do_lower_case=UpperCAmelCase_       ,			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 					_A							(					self							:						Dict   ):
       SCREAMING_SNAKE_CASE							:   int						    =     SudachiTokenizer(normalize_text=UpperCAmelCase_       ,			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 					_A							(					self							:						List[Any]   ):
       SCREAMING_SNAKE_CASE							:   Union[str, Any]						    =     SudachiTokenizer(trim_whitespace=UpperCAmelCase_       ,			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 					_A							(					self							:						Union[str, Any]   ):
       SCREAMING_SNAKE_CASE							:   Any						    =     self.tokenizer_class(self.vocab_file       ,			word_tokenizer_type="jumanpp"   )
       self.assertIsNotNone(UpperCAmelCase_   )

       SCREAMING_SNAKE_CASE							:   Dict						    =     "こんにちは、世界。\nこんばんは、世界。"
       SCREAMING_SNAKE_CASE							:   Optional[Any]						    =     tokenizer.tokenize(UpperCAmelCase_   )
       self.assertListEqual(UpperCAmelCase_       ,			["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]   )
       self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_   )       ,			[3, 12, 10, 14, 4, 9, 12, 10, 14]   )

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

       with open(UpperCAmelCase_       ,			"rb"   ) as handle:
         SCREAMING_SNAKE_CASE							:   List[Any]						    =     pickle.load(UpperCAmelCase_   )

       SCREAMING_SNAKE_CASE							:   str						    =     tokenizer_new.tokenize(UpperCAmelCase_   )

       self.assertListEqual(UpperCAmelCase_       ,			UpperCAmelCase_   )


     @require_jumanpp
     def 					_A							(					self							:						Optional[int]   ):
       SCREAMING_SNAKE_CASE							:   str						    =     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 					_A							(					self							:						Optional[int]   ):
       SCREAMING_SNAKE_CASE							:   List[Any]						    =     JumanppTokenizer(do_lower_case=UpperCAmelCase_   )

       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 					_A							(					self							:						Tuple   ):
       SCREAMING_SNAKE_CASE							:   str						    =     JumanppTokenizer(normalize_text=UpperCAmelCase_   )

       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 					_A							(					self							:						Optional[Any]   ):
       SCREAMING_SNAKE_CASE							:   str						    =     JumanppTokenizer(trim_whitespace=UpperCAmelCase_   )

       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 					_A							(					self							:						Union[str, Any]   ):
       SCREAMING_SNAKE_CASE							:   List[str]						    =     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 					_A							(					self							:						Optional[Any]   ):
       SCREAMING_SNAKE_CASE							:   List[Any]						    =     ["[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(UpperCAmelCase_   ):
         SCREAMING_SNAKE_CASE							:   str						    =     i
       SCREAMING_SNAKE_CASE							:   Optional[Any]						    =     WordpieceTokenizer(vocab=UpperCAmelCase_       ,			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 					_A							(					self							:						List[str]   ):
       SCREAMING_SNAKE_CASE							:   Optional[Any]						    =     BertJapaneseTokenizer.from_pretrained("nlp-waseda/roberta-base-japanese-with-auto-jumanpp"   )
       SCREAMING_SNAKE_CASE							:   Union[str, Any]						    =     tokenizer.subword_tokenizer

       SCREAMING_SNAKE_CASE							:   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(UpperCAmelCase_       ,			["▁国境", "▁の", "▁長い", "▁トンネル", "▁を", "▁抜ける", "▁と", "▁雪", "国", "▁であった", "▁。"]   )

       SCREAMING_SNAKE_CASE							:   List[str]						    =     subword_tokenizer.tokenize("こんばんは こんばん にち は こんにちは"   )
       self.assertListEqual(UpperCAmelCase_       ,			["▁こん", "ばん", "は", "▁こん", "ばん", "▁に", "ち", "▁は", "▁こんにちは"]   )






     def 					_A							(					self							:						List[Any]   ):
       SCREAMING_SNAKE_CASE							:   Optional[int]						    =     self.tokenizer_class.from_pretrained("cl-tohoku/bert-base-japanese"   )

       SCREAMING_SNAKE_CASE							:   Dict						    =     tokenizer.encode("ありがとう。"       ,			add_special_tokens=UpperCAmelCase_   )
       SCREAMING_SNAKE_CASE							:   Union[str, Any]						    =     tokenizer.encode("どういたしまして。"       ,			add_special_tokens=UpperCAmelCase_   )

       SCREAMING_SNAKE_CASE							:   List[Any]						    =     tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_   )
       SCREAMING_SNAKE_CASE							:   List[str]						    =     tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_       ,			UpperCAmelCase_   )

       # 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 			SCREAMING_SNAKE_CASE      (      lowerCAmelCase   ,		unittest.TestCase       ):
     '''simple docstring'''


     UpperCamelCase_				:		Optional[Any]								=						BertJapaneseTokenizer
     UpperCamelCase_				:		Tuple								=						False


     def 					_A							(					self							:						str   ):
       super().setUp()

       SCREAMING_SNAKE_CASE							:   Tuple						    =     ["[UNK]", "[CLS]", "[SEP]", "こ", "ん", "に", "ち", "は", "ば", "世", "界", "、", "。"]

       SCREAMING_SNAKE_CASE							:   Any						    =     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 					_A							(					self							:						str       ,			**UpperCAmelCase_							:						int   ):
       return BertJapaneseTokenizer.from_pretrained(self.tmpdirname       ,			subword_tokenizer_type="character"       ,			**UpperCAmelCase_   )


     def 					_A							(					self							:						List[str]       ,			UpperCAmelCase_							:						Union[str, Any]   ):
       SCREAMING_SNAKE_CASE							:   Tuple						    =     "こんにちは、世界。 \nこんばんは、世界。"
       SCREAMING_SNAKE_CASE							:   Optional[Any]						    =     "こ ん に ち は 、 世 界 。 こ ん ば ん は 、 世 界 。"
       return input_text, output_text


     def 					_A							(					self							:						Any   ):
       pass  # TODO add if relevant


     def 					_A							(					self							:						Optional[int]   ):
       pass  # TODO add if relevant


     def 					_A							(					self							:						Dict   ):
       pass  # TODO add if relevant


     def 					_A							(					self							:						Dict   ):
       SCREAMING_SNAKE_CASE							:   Dict						    =     self.tokenizer_class(self.vocab_file       ,			subword_tokenizer_type="character"   )

       SCREAMING_SNAKE_CASE							:   Optional[Any]						    =     tokenizer.tokenize("こんにちは、世界。 \nこんばんは、世界。"   )
       self.assertListEqual(
           UpperCAmelCase_       ,			["こ", "ん", "に", "ち", "は", "、", "世", "界", "。", "こ", "ん", "ば", "ん", "は", "、", "世", "界", "。"]   )
       self.assertListEqual(
           tokenizer.convert_tokens_to_ids(UpperCAmelCase_   )       ,			[3, 4, 5, 6, 7, 11, 9, 10, 12, 3, 4, 8, 4, 7, 11, 9, 10, 12]   )


     def 					_A							(					self							:						Union[str, Any]   ):
       SCREAMING_SNAKE_CASE							:   List[str]						    =     ["[UNK]", "[CLS]", "[SEP]", "こ", "ん", "に", "ち", "は", "ば", "世", "界", "、", "。"]

       SCREAMING_SNAKE_CASE							:   Optional[int]						    =     {}
       for i, token in enumerate(UpperCAmelCase_   ):
         SCREAMING_SNAKE_CASE							:   str						    =     i
       SCREAMING_SNAKE_CASE							:   List[str]						    =     CharacterTokenizer(vocab=UpperCAmelCase_       ,			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 					_A							(					self							:						List[str]   ):
       SCREAMING_SNAKE_CASE							:   Any						    =     self.tokenizer_class.from_pretrained("cl-tohoku/bert-base-japanese-char"   )

       SCREAMING_SNAKE_CASE							:   str						    =     tokenizer.encode("ありがとう。"       ,			add_special_tokens=UpperCAmelCase_   )
       SCREAMING_SNAKE_CASE							:   List[str]						    =     tokenizer.encode("どういたしまして。"       ,			add_special_tokens=UpperCAmelCase_   )

       SCREAMING_SNAKE_CASE							:   List[Any]						    =     tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_   )
       SCREAMING_SNAKE_CASE							:   Tuple						    =     tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_       ,			UpperCAmelCase_   )

       # 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 			SCREAMING_SNAKE_CASE      (      unittest.TestCase       ):
     '''simple docstring'''


     def 					_A							(					self							:						Union[str, Any]   ):
       SCREAMING_SNAKE_CASE							:   List[str]						    =     "cl-tohoku/bert-base-japanese"
       SCREAMING_SNAKE_CASE							:   Any						    =     AutoTokenizer.from_pretrained(UpperCAmelCase_   )
       self.assertIsInstance(UpperCAmelCase_       ,			UpperCAmelCase_   )





class 			SCREAMING_SNAKE_CASE      (      unittest.TestCase       ):
     '''simple docstring'''


     def 					_A							(					self							:						int   ):
       SCREAMING_SNAKE_CASE							:   Any						    =     "cl-tohoku/bert-base-japanese"
       with self.assertLogs("transformers"       ,			level="WARNING"   ) as cm:
         BertTokenizer.from_pretrained(UpperCAmelCase_   )
         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(UpperCAmelCase_   )
         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."   )   )







import enum
import os
from hashlib import shaaaa
from typing import Optional

from .. import config
from .logging import get_logger


SCREAMING_SNAKE_CASE			:						List[Any]				  =		get_logger(__name__)
class  A_			(							enum.Enum			):
  _SCREAMING_SNAKE_CASE     					=      """all_checks"""
  _SCREAMING_SNAKE_CASE     					=      """basic_checks"""
  _SCREAMING_SNAKE_CASE     					=      """no_checks"""
class  A_			(							a_			):
  pass
class  A_			(							a_			):
  pass
class  A_			(							a_			):
  pass
class  A_			(							a_			):
  pass



def 	__A		(      _A				,					_A				,					_A=None       ):



 """simple docstring"""


 if expected_checksums is None:
  logger.info("Unable to verify checksums."       )
  return
 if len(set(_A       ) - set(_A       )       ) > 0:
  raise ExpectedMoreDownloadedFiles(str(set(_A       ) - set(_A       )       )       )
 if len(set(_A       ) - set(_A       )       ) > 0:
  raise UnexpectedDownloadedFile(str(set(_A       ) - set(_A       )       )       )
 __a							=	[url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]]
 __a							=	" for " + verification_name if verification_name is not None else ""
 if len(_A       ) > 0:
  raise NonMatchingChecksumError(
      f"""Checksums didn't match{for_verification_name}:\n"""
      f"""{bad_urls}\n"""
      "Set `verification_mode='no_checks'` to skip checksums verification and ignore this error"       )
 logger.info("All the checksums matched successfully" + for_verification_name       )
class  A_			(							a_			):
  pass
class  A_			(							a_			):
  pass
class  A_			(							a_			):
  pass
class  A_			(							a_			):
  pass



def 	__A		(      _A				,					_A       ):



 """simple docstring"""


 if expected_splits is None:
  logger.info("Unable to verify splits sizes."       )
  return
 if len(set(_A       ) - set(_A       )       ) > 0:
  raise ExpectedMoreSplits(str(set(_A       ) - set(_A       )       )       )
 if len(set(_A       ) - set(_A       )       ) > 0:
  raise UnexpectedSplits(str(set(_A       ) - set(_A       )       )       )
 __a							=	[
     {"expected": expected_splits[name], "recorded": recorded_splits[name]}
     for name in expected_splits
     if expected_splits[name].num_examples != recorded_splits[name].num_examples
 ]
 if len(_A       ) > 0:
  raise NonMatchingSplitsSizesError(str(_A       )       )
 logger.info("All the splits matched successfully."       )



def 	__A		(      _A				,					_A = True       ):



 """simple docstring"""


 if record_checksum:
  __a							=	shaaaa()
  with open(_A				,					"rb"       ) as f:
   for chunk in iter(lambda: f.read(1 << 20       )				,					B""       ):
    m.update(_A       )
   __a							=	m.hexdigest()
 else:
  __a							=	None
 return {"num_bytes": os.path.getsize(_A       ), "checksum": checksum}






def 	__A		(      _A       ):



 """simple docstring"""


 if dataset_size and config.IN_MEMORY_MAX_SIZE:
  return dataset_size < config.IN_MEMORY_MAX_SIZE
 else:
  return False


