
"""simple docstring"""






import json
from typing import Dict, List, Optional, Tuple, Union

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding, EncodedInput
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import PaddingStrategy, logging
from .tokenization_led import LEDTokenizer


__SCREAMING_SNAKE_CASE							=     logging.get_logger(__name__)


__SCREAMING_SNAKE_CASE							=     {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

__SCREAMING_SNAKE_CASE							=     {
    'vocab_file': {
        'allenai/led-base-16384': 'https://huggingface.co/allenai/led-base-16384/resolve/main/vocab.json',
    },
    'merges_file': {
        'allenai/led-base-16384': 'https://huggingface.co/allenai/led-base-16384/resolve/main/merges.txt',
    },
    'tokenizer_file': {
        'allenai/led-base-16384': 'https://huggingface.co/allenai/led-base-16384/resolve/main/tokenizer.json',
    },
}

__SCREAMING_SNAKE_CASE							=     {
    'allenai/led-base-16384': 16_384,
}





class 				a__					(						snake_case_       ):
     UpperCAmelCase__         =      VOCAB_FILES_NAMES
     UpperCAmelCase__         =      PRETRAINED_VOCAB_FILES_MAP
     UpperCAmelCase__         =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     UpperCAmelCase__         =      LEDTokenizer
     UpperCAmelCase__         =      ['''input_ids''', '''attention_mask''']



     def __init__(							self :str      ,  _lowerCamelCase :int=None      ,  _lowerCamelCase :Any=None      ,  _lowerCamelCase :Optional[int]=None      ,  _lowerCamelCase :List[Any]="replace"      ,  _lowerCamelCase :Optional[Any]="<s>"      ,  _lowerCamelCase :Optional[Any]="</s>"      ,  _lowerCamelCase :Dict="</s>"      ,  _lowerCamelCase :List[str]="<s>"      ,  _lowerCamelCase :str="<unk>"      ,  _lowerCamelCase :str="<pad>"      ,  _lowerCamelCase :str="<mask>"      ,  _lowerCamelCase :Union[str, Any]=False      ,  _lowerCamelCase :Optional[int]=True      ,  **_lowerCamelCase :str      ,  ):







      '''simple docstring'''



      super().__init__(
          lowercase__      ,  lowercase__      ,  tokenizer_file=lowercase__      ,  errors=lowercase__      ,  bos_token=lowercase__      ,  eos_token=lowercase__      ,  sep_token=lowercase__      ,  cls_token=lowercase__      ,  unk_token=lowercase__      ,  pad_token=lowercase__      ,  mask_token=lowercase__      ,  add_prefix_space=lowercase__      ,  trim_offsets=lowercase__      ,  **lowercase__      ,  )

      UpperCamelCase_     :					str   	=json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()   )
      if pre_tok_state.get('add_prefix_space'      ,  lowercase__   ) != add_prefix_space:
       UpperCamelCase_     :					Optional[int]   	=getattr(lowercase__      ,  pre_tok_state.pop('type'   )   )
       UpperCamelCase_     :					List[str]   	=add_prefix_space
       UpperCamelCase_     :					Union[str, Any]   	=pre_tok_class(**lowercase__   )

      UpperCamelCase_     :					Union[str, Any]   	=add_prefix_space

      # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
      UpperCamelCase_     :					Any   	="""post_processor"""
      UpperCamelCase_     :					int   	=getattr(self.backend_tokenizer      ,  lowercase__      ,  lowercase__   )
      if tokenizer_component_instance:
       UpperCamelCase_     :					Optional[int]   	=json.loads(tokenizer_component_instance.__getstate__()   )

       # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
       if "sep" in state:
        UpperCamelCase_     :					int   	=tuple(state['sep']   )
       if "cls" in state:
        UpperCamelCase_     :					Optional[int]   	=tuple(state['cls']   )

       UpperCamelCase_     :					List[Any]   	=False

       if state.get('add_prefix_space'      ,  lowercase__   ) != add_prefix_space:
        UpperCamelCase_     :					Optional[Any]   	=add_prefix_space
        UpperCamelCase_     :					Dict   	=True

       if state.get('trim_offsets'      ,  lowercase__   ) != trim_offsets:
        UpperCamelCase_     :					List[Any]   	=trim_offsets
        UpperCamelCase_     :					Optional[Any]   	=True

       if changes_to_apply:
        UpperCamelCase_     :					Optional[int]   	=getattr(lowercase__      ,  state.pop('type'   )   )
        UpperCamelCase_     :					Any   	=component_class(**lowercase__   )
        setattr(self.backend_tokenizer      ,  lowercase__      ,  lowercase__   )



     @property
     # Copied from transformers.models.bart.tokenization_bart_fast.BartTokenizerFast.mask_token with BART->LED
     def  lowerCamelCase_						(							self :Dict   ):







      '''simple docstring'''



      if self._mask_token is None:
       if self.verbose:
        logger.error('Using mask_token, but it is not set yet.'   )
       return None
      return str(self._mask_token   )



     @mask_token.setter
     def  lowerCamelCase_						(							self :List[Any]      ,  _lowerCamelCase :Union[str, Any]   ):







      '''simple docstring'''



      UpperCamelCase_     :					Dict   	=AddedToken(lowercase__      ,  lstrip=lowercase__      ,  rstrip=lowercase__   ) if isinstance(lowercase__      ,  lowercase__   ) else value
      UpperCamelCase_     :					Optional[int]   	=value



     def  lowerCamelCase_						(							self :Optional[int]      ,  *_lowerCamelCase :Any      ,  **_lowerCamelCase :str   ):







      '''simple docstring'''



      UpperCamelCase_     :					Any   	=kwargs.get('is_split_into_words'      ,  lowercase__   )

      if is_split_into_words and not self.add_prefix_space:
       raise ValueError(
           f'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
           'to use it with pretokenized inputs.'   )

      return super()._batch_encode_plus(*lowercase__      ,  **lowercase__   )



     def  lowerCamelCase_						(							self :List[Any]      ,  *_lowerCamelCase :str      ,  **_lowerCamelCase :Dict   ):







      '''simple docstring'''



      UpperCamelCase_     :					Dict   	=kwargs.get('is_split_into_words'      ,  lowercase__   )

      if is_split_into_words and not self.add_prefix_space:
       raise ValueError(
           f'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
           'to use it with pretokenized inputs.'   )

      return super()._encode_plus(*lowercase__      ,  **lowercase__   )



     def  lowerCamelCase_						(							self :int      ,  _lowerCamelCase :str      ,  _lowerCamelCase :Optional[str] = None   ):







      '''simple docstring'''



      UpperCamelCase_     :					List[str]   	=self._tokenizer.model.save(lowercase__      ,  name=lowercase__   )
      return tuple(lowercase__   )



     def  lowerCamelCase_						(							self :List[str]      ,  _lowerCamelCase :List[str]      ,  _lowerCamelCase :int=None   ):







      '''simple docstring'''



      UpperCamelCase_     :					List[str]   	=[self.bos_token_id] + token_ids_a + [self.eos_token_id]
      if token_ids_a is None:
       return output

      return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]



     def  lowerCamelCase_						(							self :List[Any]      ,  _lowerCamelCase :List[int]      ,  _lowerCamelCase :Optional[List[int]] = None   ):







      '''simple docstring'''



      UpperCamelCase_     :					Optional[int]   	=[self.sep_token_id]
      UpperCamelCase_     :					int   	=[self.cls_token_id]

      if token_ids_a is None:
       return len(cls + token_ids_a + sep   ) * [0]
      return len(cls + token_ids_a + sep + sep + token_ids_a + sep   ) * [0]




     def  lowerCamelCase_						(							self :Optional[Any]      ,  _lowerCamelCase :Union[Dict[str, EncodedInput], BatchEncoding]      ,  _lowerCamelCase :Optional[int] = None      ,  _lowerCamelCase :PaddingStrategy = PaddingStrategy.DO_NOT_PAD      ,  _lowerCamelCase :Optional[int] = None      ,  _lowerCamelCase :Optional[bool] = None      ,  ):







      '''simple docstring'''



      UpperCamelCase_     :					Union[str, Any]   	=super()._pad(
          encoded_inputs=lowercase__      ,  max_length=lowercase__      ,  padding_strategy=lowercase__      ,  pad_to_multiple_of=lowercase__      ,  return_attention_mask=lowercase__      ,  )

      # Load from model defaults
      if return_attention_mask is None:
       UpperCamelCase_     :					Tuple   	="""attention_mask""" in self.model_input_names

      if return_attention_mask and "global_attention_mask" in encoded_inputs:
       UpperCamelCase_     :					Tuple   	=encoded_inputs[self.model_input_names[0]]
       # `global_attention_mask` need to have the same length as other (sequential) inputs.
       UpperCamelCase_     :					Optional[int]   	=len(encoded_inputs['global_attention_mask']   ) != len(lowercase__   )

       if needs_to_be_padded:
        UpperCamelCase_     :					int   	=len(lowercase__   ) - len(encoded_inputs['global_attention_mask']   )

        if self.padding_side == "right":
         # Use `-1` since `0` in `global_attention_mask` means `local attention` instead of `not to attend`
         UpperCamelCase_     :					Optional[int]   	=(
             encoded_inputs["""global_attention_mask"""] + [-1] * difference
         )
        elif self.padding_side == "left":
         UpperCamelCase_     :					Dict   	=[-1] * difference + encoded_inputs[
             """global_attention_mask"""
         ]
        else:
         raise ValueError('Invalid padding strategy:' + str(self.padding_side   )   )

      return encoded_inputs






'''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."""       )       )
