"""simple docstring"""







import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


__SCREAMING_SNAKE_CASE    	=logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE    	={"vocab_file": "spiece.model"}

__SCREAMING_SNAKE_CASE    	={
    "vocab_file": {
        "bert_for_seq_generation": (
            "https://huggingface.co/google/bert_for_seq_generation_L-24_bbc_encoder/resolve/main/spiece.model"
        ),
    }
}

__SCREAMING_SNAKE_CASE    	={"bert_for_seq_generation": 512}







class        UpperCamelCase		(			lowercase_  ):
   lowercase							=  VOCAB_FILES_NAMES
   lowercase							=  PRETRAINED_VOCAB_FILES_MAP
   lowercase							=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   lowercase							=  []
   lowercase							=  ['input_ids', 'attention_mask']
   def __init__(			self     ,__UpperCamelCase     ,__UpperCamelCase="<s>"     ,__UpperCamelCase="</s>"     ,__UpperCamelCase="<unk>"     ,__UpperCamelCase="<pad>"     ,__UpperCamelCase="<::::>"     ,__UpperCamelCase = None     ,**__UpperCamelCase     ,)	->      None:


        '''simple docstring'''


        lowercase_	:				Dict													=	{} if sp_model_kwargs is None else sp_model_kwargs

        # Add extra_ids to the special token list
        super().__init__(
            bos_token=__UpperCamelCase     ,eos_token=__UpperCamelCase     ,unk_token=__UpperCamelCase     ,pad_token=__UpperCamelCase     ,sep_token=__UpperCamelCase     ,sp_model_kwargs=self.sp_model_kwargs     ,**__UpperCamelCase     ,)

        lowercase_	:				Optional[Any]													=	vocab_file

        lowercase_	:				Dict													=	spm.SentencePieceProcessor(**self.sp_model_kwargs			)
        self.sp_model.Load(__UpperCamelCase			)
   @property
   def 			_UpperCAmelCase   (			self			)	->      Union[str, Any]:


        '''simple docstring'''


        return self.sp_model.get_piece_size()
   def 			_UpperCAmelCase   (			self			)	->      List[str]:


        '''simple docstring'''


        lowercase_	:				Union[str, Any]													=	{self.convert_ids_to_tokens(__UpperCamelCase			): i for i in range(self.vocab_size			)}
        vocab.update(self.added_tokens_encoder			)
        return vocab
   def __getstate__(			self			)	->      Optional[Any]:


        '''simple docstring'''


        lowercase_	:				Optional[int]													=	self.__dict__.copy()
        lowercase_	:				List[str]													=	None
        return state
   def __setstate__(			self     ,__UpperCamelCase			)	->      Dict:


        '''simple docstring'''


        lowercase_	:				Optional[int]													=	d

        # for backward compatibility
        if not hasattr(self     ,'sp_model_kwargs'			):
             lowercase_	:				Union[str, Any]													=	{}

        lowercase_	:				str													=	spm.SentencePieceProcessor(**self.sp_model_kwargs			)
        self.sp_model.Load(self.vocab_file			)
   def 			_UpperCAmelCase   (			self     ,__UpperCamelCase			)	->      List[str]:


        '''simple docstring'''


        return self.sp_model.encode(__UpperCamelCase     ,out_type=__UpperCamelCase			)
   def 			_UpperCAmelCase   (			self     ,__UpperCamelCase			)	->      List[str]:


        '''simple docstring'''


        return self.sp_model.piece_to_id(__UpperCamelCase			)
   def 			_UpperCAmelCase   (			self     ,__UpperCamelCase			)	->      Union[str, Any]:


        '''simple docstring'''


        lowercase_	:				Optional[int]													=	self.sp_model.IdToPiece(__UpperCamelCase			)
        return token
   def 			_UpperCAmelCase   (			self     ,__UpperCamelCase			)	->      List[Any]:


        '''simple docstring'''


        lowercase_	:				Any													=	[]
        lowercase_	:				int													=	''
        for token in tokens:
             # make sure that special tokens are not decoded using sentencepiece model
             if token in self.all_special_tokens:
                  out_string += self.sp_model.decode(__UpperCamelCase			) + token
                  lowercase_	:				Optional[int]													=	[]
             else:
                  current_sub_tokens.append(__UpperCamelCase			)
        out_string += self.sp_model.decode(__UpperCamelCase			)
        return out_string.strip()







   def 			_UpperCAmelCase   (			self     ,__UpperCamelCase     ,__UpperCamelCase = None			)	->      Tuple[str]:


        '''simple docstring'''


        if not os.path.isdir(__UpperCamelCase			):
             logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''			)
             return
        lowercase_	:				Tuple													=	os.path.join(
            __UpperCamelCase     ,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']			)

        if os.path.abspath(self.vocab_file			) != os.path.abspath(__UpperCamelCase			) and os.path.isfile(self.vocab_file			):
             copyfile(self.vocab_file     ,__UpperCamelCase			)
        elif not os.path.isfile(self.vocab_file			):
             with open(__UpperCamelCase     ,'wb'			) as fi:
                  lowercase_	:				Tuple													=	self.sp_model.serialized_model_proto()
                  fi.write(__UpperCamelCase			)

        return (out_vocab_file,)


"""simple docstring"""







def 			lowercase__(       __SCREAMING_SNAKE_CASE							:     list      ):

     if len(__SCREAMING_SNAKE_CASE      ) < 2:
          return collection

     def circle_sort_util(__SCREAMING_SNAKE_CASE							:     list     ,			__SCREAMING_SNAKE_CASE							:     int     ,			__SCREAMING_SNAKE_CASE							:     int      ) -> bool:
          lowercase_	:				Any													=	False

          if low == high:
               return swapped

          lowercase_	:				str													=	low
          lowercase_	:				int													=	high

          while left < right:
               if collection[left] > collection[right]:
                    lowercase_							,  lowercase_	:				Optional[Any]													=	(
                        collection[right],
                        collection[left],
                    )
                    lowercase_	:				Tuple													=	True

               left += 1
               right -= 1

          if left == right and collection[left] > collection[right + 1]:
               lowercase_							,  lowercase_	:				Dict													=	(
                   collection[right + 1],
                   collection[left],
               )

               lowercase_	:				str													=	True

          lowercase_	:				Optional[Any]													=	low + int((high - low) / 2      )
          lowercase_	:				str													=	circle_sort_util(__SCREAMING_SNAKE_CASE     ,			__SCREAMING_SNAKE_CASE     ,			__SCREAMING_SNAKE_CASE      )
          lowercase_	:				List[Any]													=	circle_sort_util(__SCREAMING_SNAKE_CASE     ,			mid + 1     ,			__SCREAMING_SNAKE_CASE      )

          return swapped or left_swap or right_swap

     lowercase_	:				Dict													=	True

     while is_not_sorted is True:
          lowercase_	:				Optional[Any]													=	circle_sort_util(__SCREAMING_SNAKE_CASE     ,			0     ,			len(__SCREAMING_SNAKE_CASE      ) - 1      )

     return collection


if __name__ == "__main__":
       __SCREAMING_SNAKE_CASE    	=input("Enter numbers separated by a comma:\n").strip()
       __SCREAMING_SNAKE_CASE    	=[int(item) for item in user_input.split(",")]
       print(circle_sort(unsorted))

