






import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
       from transformers.pipelines.conversational import Conversation


__magic_name__   :  Dict        =							logging.get_logger(__name__)

__magic_name__   :  Union[str, Any]        =							{'''tokenizer_file''': '''tokenizer.json'''}

__magic_name__   :  List[Any]        =							{
    '''tokenizer_file''': {
        '''bigscience/tokenizer''': '''https://huggingface.co/bigscience/tokenizer/blob/main/tokenizer.json''',
        '''bigscience/bloom-560m''': '''https://huggingface.co/bigscience/bloom-560m/blob/main/tokenizer.json''',
        '''bigscience/bloom-1b1''': '''https://huggingface.co/bigscience/bloom-1b1/blob/main/tokenizer.json''',
        '''bigscience/bloom-1b7''': '''https://huggingface.co/bigscience/bloom-1b7/blob/main/tokenizer.json''',
        '''bigscience/bloom-3b''': '''https://huggingface.co/bigscience/bloom-3b/blob/main/tokenizer.json''',
        '''bigscience/bloom-7b1''': '''https://huggingface.co/bigscience/bloom-7b1/blob/main/tokenizer.json''',
        '''bigscience/bloom''': '''https://huggingface.co/bigscience/bloom/blob/main/tokenizer.json''',
    },
}





class 					A__     (     __snake_case ):

     '''simple docstring'''






     snake_case__					=					VOCAB_FILES_NAMES
     snake_case__					=					PRETRAINED_VOCAB_FILES_MAP
     snake_case__					=					["""input_ids""", """attention_mask"""]
     snake_case__					=					None







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






           """simple docstring"""




           super().__init__(
               _SCREAMING_SNAKE_CASE   ,						_SCREAMING_SNAKE_CASE   ,						tokenizer_file=_SCREAMING_SNAKE_CASE   ,						unk_token=_SCREAMING_SNAKE_CASE   ,						bos_token=_SCREAMING_SNAKE_CASE   ,						eos_token=_SCREAMING_SNAKE_CASE   ,						pad_token=_SCREAMING_SNAKE_CASE   ,						add_prefix_space=_SCREAMING_SNAKE_CASE   ,						clean_up_tokenization_spaces=_SCREAMING_SNAKE_CASE   ,						**_SCREAMING_SNAKE_CASE   ,						)
           UpperCamelCase					       =  json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__() )
           if pre_tok_state.get('add_prefix_space'   ,						_SCREAMING_SNAKE_CASE ) != add_prefix_space:
                 UpperCamelCase					       =  getattr(_SCREAMING_SNAKE_CASE   ,						pre_tok_state.pop('type' ) )
                 UpperCamelCase					       =  add_prefix_space
                 UpperCamelCase					       =  pre_tok_class(**_SCREAMING_SNAKE_CASE )

           UpperCamelCase					       =  add_prefix_space







     def   _SCREAMING_SNAKE_CASE     ( self      :    int   ,						*_SCREAMING_SNAKE_CASE      :    Dict   ,						**_SCREAMING_SNAKE_CASE      :    List[Any] ):






           """simple docstring"""




           UpperCamelCase					       =  kwargs.get('is_split_into_words'   ,						_SCREAMING_SNAKE_CASE )
           if not (self.add_prefix_space or not is_split_into_words):
                 raise Exception(
                     f'You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with'
                     ' pretokenized inputs.' )

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







     def   _SCREAMING_SNAKE_CASE     ( self      :    List[str]   ,						*_SCREAMING_SNAKE_CASE      :    Optional[Any]   ,						**_SCREAMING_SNAKE_CASE      :    str ):






           """simple docstring"""




           UpperCamelCase					       =  kwargs.get('is_split_into_words'   ,						_SCREAMING_SNAKE_CASE )

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

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







     def   _SCREAMING_SNAKE_CASE     ( self      :    Dict   ,						_SCREAMING_SNAKE_CASE      :    str   ,						_SCREAMING_SNAKE_CASE      :    Optional[str] = None ):






           """simple docstring"""




           UpperCamelCase					       =  self._tokenizer.model.save(_SCREAMING_SNAKE_CASE   ,						name=_SCREAMING_SNAKE_CASE )
           return tuple(_SCREAMING_SNAKE_CASE )







     def   _SCREAMING_SNAKE_CASE     ( self      :    int   ,						_SCREAMING_SNAKE_CASE      :    "Conversation" ):






           """simple docstring"""




           UpperCamelCase					       =  []
           for is_user, text in conversation.iter_texts():
                 input_ids.extend(self.encode(_SCREAMING_SNAKE_CASE   ,						add_special_tokens=_SCREAMING_SNAKE_CASE ) + [self.eos_token_id] )

           if len(_SCREAMING_SNAKE_CASE ) > self.model_max_length:
                 UpperCamelCase					       =  input_ids[-self.model_max_length :]
           return input_ids











__magic_name__   :  Optional[Any]        =							0  # The first color of the flag.
__magic_name__   :  List[str]        =							1  # The second color of the flag.
__magic_name__   :  Dict        =							2  # The third color of the flag.
__magic_name__   :  Union[str, Any]        =							(red, white, blue)
def 		lowercase__  (				_UpperCamelCase) ->			list:
      """simple docstring"""

      if not sequence:
            return []
      if len(_UpperCamelCase) == 1:
            return list(_UpperCamelCase)
      UpperCamelCase					       =  0
      UpperCamelCase					       =  len(_UpperCamelCase) - 1
      UpperCamelCase					       =  0
      while mid <= high:
            if sequence[mid] == colors[0]:
                  UpperCamelCase       ,  UpperCamelCase					       =  sequence[mid], sequence[low]
                  low += 1
                  mid += 1
            elif sequence[mid] == colors[1]:
                  mid += 1
            elif sequence[mid] == colors[2]:
                  UpperCamelCase       ,  UpperCamelCase					       =  sequence[high], sequence[mid]
                  high -= 1
            else:
                  UpperCamelCase					       =  F'The elements inside the sequence must contains only {colors} values'
                  raise ValueError(_UpperCamelCase)
      return sequence


if __name__ == "__main__":
       import doctest

       doctest.testmod()

       __magic_name__   :  str        =							input('''Enter numbers separated by commas:\n''').strip()
       __magic_name__   :  Union[str, Any]        =							[int(item.strip()) for item in user_input.split(''',''')]
       print(F'{dutch_national_flag_sort(unsorted)}')



