




'''simple docstring'''


def  _SCREAMING_SNAKE_CASE     (      UpperCamelCase__    :					list[list[int]] ,    UpperCamelCase__    :					int ,    UpperCamelCase__    :					int ,    UpperCamelCase__    :					list[int]				):




     """simple docstring"""


     if graph[path[curr_ind - 1]][next_ver] == 0:
          return False

     # 2. Validate that next vertex is not already in path
     return not any(vertex == next_ver for vertex in path				)



def  _SCREAMING_SNAKE_CASE     (      UpperCamelCase__    :					list[list[int]] ,    UpperCamelCase__    :					list[int] ,    UpperCamelCase__    :					int				):




     """simple docstring"""


     if curr_ind == len(UpperCamelCase__				):
          # return whether path exists between current and starting vertices
          return graph[path[curr_ind - 1]][path[0]] == 1

     # Recursive Step
     for next_ver in range(0 ,    len(UpperCamelCase__				)				):
          if valid_connection(UpperCamelCase__ ,    UpperCamelCase__ ,    UpperCamelCase__ ,    UpperCamelCase__				):
               # Insert current vertex  into path as next transition
               a_     :							Optional[Any]     						=  next_ver
               # Validate created path
               if util_hamilton_cycle(UpperCamelCase__ ,    UpperCamelCase__ ,    curr_ind + 1				):
                    return True
               # Backtrack
               a_     :							List[str]     						=  -1
     return False



def  _SCREAMING_SNAKE_CASE     (      UpperCamelCase__    :					list[list[int]] ,    UpperCamelCase__    :					int = 0				):




     """simple docstring"""


     a_     :							Any     						=  [-1] * (len(UpperCamelCase__				) + 1)
     # initialize start and end of path with starting index
     a_     :							Any     						=  start_index
     # evaluate and if we find answer return path either return empty array
     return path if util_hamilton_cycle(UpperCamelCase__ ,    UpperCamelCase__ ,    1				) else []






'''simple docstring'''


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    (						snake_case_							,      unittest.TestCase				):
      __magic_name__  :       Optional[Any]   							=					BertJapaneseTokenizer
      __magic_name__  :       int   							=					False
      __magic_name__  :       Tuple   							=					True






      def 							lowercase_						( self   :  str       ):


           '''simple docstring'''

           super().setUp()

           a_     :							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""",
               """世界""",
               """##世界""",
               """、""",
               """##、""",
               """。""",
               """##。""",
           ]

           a_     :							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 							lowercase_						( self   :  List[Any]						,						lowercase__   :  Optional[Any]       ):


           '''simple docstring'''

           a_     :							Dict     						=  """こんにちは、世界。 \nこんばんは、世界。"""
           a_     :							Tuple     						=  """こんにちは 、 世界 。 こんばんは 、 世界 。"""
           return input_text, output_text






      def 							lowercase_						( self   :  Optional[int]						,						lowercase__   :  str       ):


           '''simple docstring'''

           a_						,     a_     :							int     						=  self.get_input_output_texts(lowercase__       )
           a_     :							Tuple     						=  tokenizer.encode(lowercase__						,						add_special_tokens=lowercase__       )
           a_     :							Union[str, Any]     						=  tokenizer.decode(lowercase__						,						clean_up_tokenization_spaces=lowercase__       )
           return text, ids






      def 							lowercase_						( self   :  int       ):


           '''simple docstring'''

           pass  # TODO add if relevant






      def 							lowercase_						( self   :  Optional[int]       ):


           '''simple docstring'''

           pass  # TODO add if relevant






      def 							lowercase_						( self   :  List[str]       ):


           '''simple docstring'''

           pass  # TODO add if relevant






      def 							lowercase_						( self   :  int       ):


           '''simple docstring'''

           a_     :							Tuple     						=  self.tokenizer_class(self.vocab_file       )

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






      def 							lowercase_						( self   :  Union[str, Any]       ):


           '''simple docstring'''

           a_     :							Tuple     						=  self.tokenizer_class(self.vocab_file						,						word_tokenizer_type="""mecab"""       )
           self.assertIsNotNone(lowercase__       )

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

           a_     :							Dict     						=  os.path.join(self.tmpdirname						,						"""tokenizer.bin"""       )
           with open(lowercase__						,						"""wb"""       ) as handle:
                pickle.dump(lowercase__						,						lowercase__       )

           with open(lowercase__						,						"""rb"""       ) as handle:
                a_     :							Optional[int]     						=  pickle.load(lowercase__       )

           a_     :							Tuple     						=  tokenizer_new.tokenize(lowercase__       )

           self.assertListEqual(lowercase__						,						lowercase__       )






      def 							lowercase_						( self   :  List[Any]       ):


           '''simple docstring'''

           a_     :							List[str]     						=  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 							lowercase_						( self   :  Dict       ):


           '''simple docstring'''

           try:
                a_     :							Tuple     						=  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 							lowercase_						( self   :  str       ):


           '''simple docstring'''

           try:
                a_     :							Union[str, 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 							lowercase_						( self   :  Optional[Any]       ):


           '''simple docstring'''

           a_     :							Union[str, Any]     						=  MecabTokenizer(do_lower_case=lowercase__						,						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 							lowercase_						( self   :  Optional[int]       ):


           '''simple docstring'''

           try:
                a_     :							Any     						=  MecabTokenizer(
                    do_lower_case=lowercase__						,						normalize_text=lowercase__						,						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 							lowercase_						( self   :  List[Any]       ):


           '''simple docstring'''

           a_     :							str     						=  MecabTokenizer(normalize_text=lowercase__						,						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 							lowercase_						( self   :  List[Any]       ):


           '''simple docstring'''

           a_     :							int     						=  self.tokenizer_class(self.vocab_file						,						word_tokenizer_type="""sudachi"""       )
           self.assertIsNotNone(lowercase__       )

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

           a_     :							str     						=  os.path.join(self.tmpdirname						,						"""tokenizer.bin"""       )
           with open(lowercase__						,						"""wb"""       ) as handle:
                pickle.dump(lowercase__						,						lowercase__       )

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

           a_     :							Optional[int]     						=  tokenizer_new.tokenize(lowercase__       )

           self.assertListEqual(lowercase__						,						lowercase__       )






      @require_sudachi
      def 							lowercase_						( self   :  int       ):


           '''simple docstring'''

           a_     :							Optional[Any]     						=  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 							lowercase_						( self   :  List[str]       ):


           '''simple docstring'''

           a_     :							Optional[int]     						=  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 							lowercase_						( self   :  int       ):


           '''simple docstring'''

           a_     :							Dict     						=  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 							lowercase_						( self   :  Any       ):


           '''simple docstring'''

           a_     :							Tuple     						=  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 							lowercase_						( self   :  Optional[Any]       ):


           '''simple docstring'''

           a_     :							List[Any]     						=  SudachiTokenizer(do_lower_case=lowercase__						,						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 							lowercase_						( self   :  Any       ):


           '''simple docstring'''

           a_     :							Tuple     						=  SudachiTokenizer(normalize_text=lowercase__						,						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 							lowercase_						( self   :  Optional[int]       ):


           '''simple docstring'''

           a_     :							Union[str, Any]     						=  SudachiTokenizer(trim_whitespace=lowercase__						,						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 							lowercase_						( self   :  Optional[Any]       ):


           '''simple docstring'''

           a_     :							Union[str, Any]     						=  self.tokenizer_class(self.vocab_file						,						word_tokenizer_type="""jumanpp"""       )
           self.assertIsNotNone(lowercase__       )

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

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

           with open(lowercase__						,						"""rb"""       ) as handle:
                a_     :							Any     						=  pickle.load(lowercase__       )

           a_     :							List[Any]     						=  tokenizer_new.tokenize(lowercase__       )

           self.assertListEqual(lowercase__						,						lowercase__       )






      @require_jumanpp
      def 							lowercase_						( self   :  List[str]       ):


           '''simple docstring'''

           a_     :							int     						=  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 							lowercase_						( self   :  Any       ):


           '''simple docstring'''

           a_     :							str     						=  JumanppTokenizer(do_lower_case=lowercase__       )

           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 							lowercase_						( self   :  Tuple       ):


           '''simple docstring'''

           a_     :							List[Any]     						=  JumanppTokenizer(normalize_text=lowercase__       )

           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 							lowercase_						( self   :  Optional[Any]       ):


           '''simple docstring'''

           a_     :							Optional[int]     						=  JumanppTokenizer(trim_whitespace=lowercase__       )

           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 							lowercase_						( self   :  Any       ):


           '''simple docstring'''

           a_     :							Union[str, Any]     						=  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 							lowercase_						( self   :  int       ):


           '''simple docstring'''

           a_     :							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"""]

           a_     :							int     						=  {}
           for i, token in enumerate(lowercase__       ):
                a_     :							str     						=  i
           a_     :							int     						=  WordpieceTokenizer(vocab=lowercase__						,						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 							lowercase_						( self   :  Optional[Any]       ):


           '''simple docstring'''

           a_     :							Optional[int]     						=  BertJapaneseTokenizer.from_pretrained("""nlp-waseda/roberta-base-japanese-with-auto-jumanpp"""       )
           a_     :							List[str]     						=  tokenizer.subword_tokenizer

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

           a_     :							Optional[Any]     						=  subword_tokenizer.tokenize("""こんばんは こんばん にち は こんにちは"""       )
           self.assertListEqual(lowercase__						,						["""▁こん""", """ばん""", """は""", """▁こん""", """ばん""", """▁に""", """ち""", """▁は""", """▁こんにちは"""]       )






      def 							lowercase_						( self   :  str       ):


           '''simple docstring'''

           a_     :							Union[str, Any]     						=  self.tokenizer_class.from_pretrained("""cl-tohoku/bert-base-japanese"""       )

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

           a_     :							str     						=  tokenizer.build_inputs_with_special_tokens(lowercase__       )
           a_     :							Optional[int]     						=  tokenizer.build_inputs_with_special_tokens(lowercase__						,						lowercase__       )

           # 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    (						snake_case_							,      unittest.TestCase				):
      __magic_name__  :       Optional[Any]   							=					BertJapaneseTokenizer
      __magic_name__  :       int   							=					False






      def 							lowercase_						( self   :  List[Any]       ):


           '''simple docstring'''

           super().setUp()

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

           a_     :							Tuple     						=  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 							lowercase_						( self   :  str						,						**lowercase__   :  Tuple       ):


           '''simple docstring'''

           return BertJapaneseTokenizer.from_pretrained(self.tmpdirname						,						subword_tokenizer_type="""character"""						,						**lowercase__       )






      def 							lowercase_						( self   :  str						,						lowercase__   :  Union[str, Any]       ):


           '''simple docstring'''

           a_     :							Optional[Any]     						=  """こんにちは、世界。 \nこんばんは、世界。"""
           a_     :							List[Any]     						=  """こ ん に ち は 、 世 界 。 こ ん ば ん は 、 世 界 。"""
           return input_text, output_text






      def 							lowercase_						( self   :  Dict       ):


           '''simple docstring'''

           pass  # TODO add if relevant






      def 							lowercase_						( self   :  Any       ):


           '''simple docstring'''

           pass  # TODO add if relevant






      def 							lowercase_						( self   :  Dict       ):


           '''simple docstring'''

           pass  # TODO add if relevant






      def 							lowercase_						( self   :  str       ):


           '''simple docstring'''

           a_     :							Optional[int]     						=  self.tokenizer_class(self.vocab_file						,						subword_tokenizer_type="""character"""       )

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






      def 							lowercase_						( self   :  List[str]       ):


           '''simple docstring'''

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

           a_     :							Dict     						=  {}
           for i, token in enumerate(lowercase__       ):
                a_     :							List[Any]     						=  i
           a_     :							Dict     						=  CharacterTokenizer(vocab=lowercase__						,						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 							lowercase_						( self   :  Dict       ):


           '''simple docstring'''

           a_     :							Dict     						=  self.tokenizer_class.from_pretrained("""cl-tohoku/bert-base-japanese-char"""       )

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

           a_     :							str     						=  tokenizer.build_inputs_with_special_tokens(lowercase__       )
           a_     :							Optional[Any]     						=  tokenizer.build_inputs_with_special_tokens(lowercase__						,						lowercase__       )

           # 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				):






      def 							lowercase_						( self   :  List[str]       ):


           '''simple docstring'''

           a_     :							Optional[Any]     						=  """cl-tohoku/bert-base-japanese"""
           a_     :							Union[str, Any]     						=  AutoTokenizer.from_pretrained(lowercase__       )
           self.assertIsInstance(lowercase__						,						lowercase__       )







class      SCREAMING_SNAKE_CASE    (						unittest.TestCase				):






      def 							lowercase_						( self   :  int       ):


           '''simple docstring'''

           a_     :							Any     						=  """cl-tohoku/bert-base-japanese"""
           with self.assertLogs("""transformers"""						,						level="""WARNING"""       ) as cm:
                BertTokenizer.from_pretrained(lowercase__       )
                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."""       )       )
           a_     :							Optional[Any]     						=  """bert-base-cased"""
           with self.assertLogs("""transformers"""						,						level="""WARNING"""       ) as cm:
                BertJapaneseTokenizer.from_pretrained(lowercase__       )
                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."""       )       )
