






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."   )   )











'''simple docstring'''





import os
import unittest

from huggingface_hub.utils import are_progress_bars_disabled

import transformers.models.bart.tokenization_bart
from transformers import logging
from transformers.testing_utils import CaptureLogger, mockenv, mockenv_context
from transformers.utils.logging import disable_progress_bar, enable_progress_bar







class        UpperCAmelCase_			(			unittest.TestCase      ):
    """simple docstring"""







    def lowerCamelCase			(       self   :	Optional[int]		):
          snake_case__    :       int       		= logging.get_logger()

          # the current default level is logging.WARNING
          snake_case__    :       str       		= logging.get_verbosity()

          logging.set_verbosity_error()
          self.assertEqual(logger.getEffectiveLevel()					,	logging.get_verbosity()		)

          logging.set_verbosity_warning()
          self.assertEqual(logger.getEffectiveLevel()					,	logging.get_verbosity()		)

          logging.set_verbosity_info()
          self.assertEqual(logger.getEffectiveLevel()					,	logging.get_verbosity()		)

          logging.set_verbosity_debug()
          self.assertEqual(logger.getEffectiveLevel()					,	logging.get_verbosity()		)

          # restore to the original level
          logging.set_verbosity(snake_case_		)




    def lowerCamelCase			(       self   :	Union[str, Any]		):
          snake_case__    :       List[Any]       		= logging.get_verbosity()

          snake_case__    :       Any       		= logging.get_logger("""transformers.models.bart.tokenization_bart"""		)
          snake_case__    :       int       		= """Testing 1, 2, 3"""

          # should be able to log warnings (if default settings weren't overridden by `pytest --log-level-all`)
          if level_origin <= logging.WARNING:
                with CaptureLogger(snake_case_		) as cl:
                      logger.warning(snake_case_		)
                self.assertEqual(cl.out					,	msg + """\n"""		)

          # this is setting the level for all of `transformers.*` loggers
          logging.set_verbosity_error()

          # should not be able to log warnings
          with CaptureLogger(snake_case_		) as cl:
                logger.warning(snake_case_		)
          self.assertEqual(cl.out					,	""""""		)

          # should be able to log warnings again
          logging.set_verbosity_warning()
          with CaptureLogger(snake_case_		) as cl:
                logger.warning(snake_case_		)
          self.assertEqual(cl.out					,	msg + """\n"""		)

          # restore to the original level
          logging.set_verbosity(snake_case_		)




    @mockenv(TRANSFORMERS_VERBOSITY="""error"""		)
    def lowerCamelCase			(       self   :	Any		):
          # reset for the env var to take effect, next time some logger call is made
          transformers.utils.logging._reset_library_root_logger()
          # this action activates the env var
          snake_case__    :       Union[str, Any]       		= logging.get_logger("""transformers.models.bart.tokenization_bart"""		)

          snake_case__    :       int       		= os.getenv("""TRANSFORMERS_VERBOSITY"""					,	snake_case_		)
          snake_case__    :       List[Any]       		= logging.log_levels[env_level_str]

          snake_case__    :       str       		= logging.get_verbosity()
          self.assertEqual(
              snake_case_					,	snake_case_					,	f"TRANSFORMERS_VERBOSITY={env_level_str}/{env_level}, but internal verbosity is {current_level}"					,	)

          # restore to the original level
          snake_case__    :       List[Any]       		= """"""
          transformers.utils.logging._reset_library_root_logger()




    @mockenv(TRANSFORMERS_VERBOSITY="""super-error"""		)
    def lowerCamelCase			(       self   :	int		):
          # reset for the env var to take effect, next time some logger call is made
          transformers.utils.logging._reset_library_root_logger()
          snake_case__    :       List[Any]       		= logging.logging.getLogger()
          with CaptureLogger(snake_case_		) as cl:
                # this action activates the env var
                logging.get_logger("""transformers.models.bart.tokenization_bart"""		)
          self.assertIn("""Unknown option TRANSFORMERS_VERBOSITY=super-error"""					,	cl.out		)

          # no need to restore as nothing was changed




    def lowerCamelCase			(       self   :	int		):
          # testing `logger.warning_advice()`
          transformers.utils.logging._reset_library_root_logger()

          snake_case__    :       Optional[int]       		= logging.get_logger("""transformers.models.bart.tokenization_bart"""		)
          snake_case__    :       Tuple       		= """Testing 1, 2, 3"""

          with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS="""1"""		):
                # nothing should be logged as env var disables this method
                with CaptureLogger(snake_case_		) as cl:
                      logger.warning_advice(snake_case_		)
                self.assertEqual(cl.out					,	""""""		)

          with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS=""""""		):
                # should log normally as TRANSFORMERS_NO_ADVISORY_WARNINGS is unset
                with CaptureLogger(snake_case_		) as cl:
                      logger.warning_advice(snake_case_		)
                self.assertEqual(cl.out					,	msg + """\n"""		)





def 		__snake_case(							)						->					List[str]:
      disable_progress_bar()
      assert are_progress_bars_disabled()

      enable_progress_bar()
      assert not are_progress_bars_disabled()
