




'''simple docstring'''



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

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import SPIECE_UNDERLINE, logging


lowerCamelCase_			=						logging.get_logger(__name__)

lowerCamelCase_			=						{'vocab_file': 'spiece.model'}

lowerCamelCase_			=						{
    'vocab_file': {
        'TsinghuaAI/CPM-Generate': 'https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model',
    }
}







class 		lowercase_   (			A       ):


   """simple docstring"""

   def __init__(   self :     str  ,				__lowerCamelCase :     int  ,				__lowerCamelCase :     Any=False  ,				__lowerCamelCase :     List[Any]=True  ,				__lowerCamelCase :     Union[str, Any]=False  ,				__lowerCamelCase :     Any="<s>"  ,				__lowerCamelCase :     Tuple="</s>"  ,				__lowerCamelCase :     int="<unk>"  ,				__lowerCamelCase :     Optional[int]="<sep>"  ,				__lowerCamelCase :     Optional[int]="<pad>"  ,				__lowerCamelCase :     Any="<cls>"  ,				__lowerCamelCase :     Union[str, Any]="<mask>"  ,				__lowerCamelCase :     Dict=["<eop>", "<eod>"]  ,				__lowerCamelCase :     Optional[Dict[str, Any]] = None  ,				**__lowerCamelCase :     Optional[Any]  ,				):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				AddedToken(__lowerCamelCase  ,				lstrip=__lowerCamelCase  ,				rstrip=__lowerCamelCase   ) if isinstance(__lowerCamelCase  ,				__lowerCamelCase   ) else mask_token

      _SCREAMING_SNAKE_CASE	=				{} if sp_model_kwargs is None else sp_model_kwargs

      super().__init__(
          do_lower_case=__lowerCamelCase  ,				remove_space=__lowerCamelCase  ,				keep_accents=__lowerCamelCase  ,				bos_token=__lowerCamelCase  ,				eos_token=__lowerCamelCase  ,				unk_token=__lowerCamelCase  ,				sep_token=__lowerCamelCase  ,				pad_token=__lowerCamelCase  ,				cls_token=__lowerCamelCase  ,				mask_token=__lowerCamelCase  ,				additional_special_tokens=__lowerCamelCase  ,				sp_model_kwargs=self.sp_model_kwargs  ,				**__lowerCamelCase  ,				)

      _SCREAMING_SNAKE_CASE	=				3

      _SCREAMING_SNAKE_CASE	=				do_lower_case
      _SCREAMING_SNAKE_CASE	=				remove_space
      _SCREAMING_SNAKE_CASE	=				keep_accents
      _SCREAMING_SNAKE_CASE	=				vocab_file

      _SCREAMING_SNAKE_CASE	=				spm.SentencePieceProcessor(**self.sp_model_kwargs   )
      self.sp_model.Load(__lowerCamelCase   )

      try:
         import jieba
      except ModuleNotFoundError as error:
         raise error.__class__(
             "You need to install jieba to use CpmTokenizer or CpmTokenizerFast. "
             "See https://pypi.org/project/jieba/ for installation."   )
      _SCREAMING_SNAKE_CASE	=				jieba
      _SCREAMING_SNAKE_CASE	=				str.maketrans(" \n"  ,				"\u2582\u2583"   )



   @property
   # Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
   def 							lowerCAmelCase_      (   self :     int   ):

      """simple docstring"""
      return len(self.sp_model   )



   def 							lowerCAmelCase_      (   self :     Dict   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				{self.convert_ids_to_tokens(__lowerCamelCase   ): i for i in range(self.vocab_size   )}
      vocab.update(self.added_tokens_encoder   )
      return vocab



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

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				self.__dict__.copy()
      _SCREAMING_SNAKE_CASE	=				None
      return state



   def __setstate__(   self :     Dict  ,				__lowerCamelCase :     str   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				d

      # for backward compatibility
      if not hasattr(self  ,				"sp_model_kwargs"   ):
         _SCREAMING_SNAKE_CASE	=				{}

      _SCREAMING_SNAKE_CASE	=				spm.SentencePieceProcessor(**self.sp_model_kwargs   )
      self.sp_model.Load(self.vocab_file   )



   def 							lowerCAmelCase_      (   self :     str  ,				__lowerCamelCase :     int   ):

      """simple docstring"""
      if self.remove_space:
         _SCREAMING_SNAKE_CASE	=				" ".join(inputs.strip().split()   )
      else:
         _SCREAMING_SNAKE_CASE	=				inputs
      _SCREAMING_SNAKE_CASE	=				outputs.replace("``"  ,				"\""   ).replace("''"  ,				"\""   )

      if not self.keep_accents:
         _SCREAMING_SNAKE_CASE	=				unicodedata.normalize("NFKD"  ,				__lowerCamelCase   )
         _SCREAMING_SNAKE_CASE	=				"".join([c for c in outputs if not unicodedata.combining(__lowerCamelCase   )]   )
      if self.do_lower_case:
         _SCREAMING_SNAKE_CASE	=				outputs.lower()

      return outputs



   def 							lowerCAmelCase_      (   self :     str  ,				__lowerCamelCase :     str   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				self.preprocess_text(__lowerCamelCase   )
      _SCREAMING_SNAKE_CASE	=				self.sp_model.encode(__lowerCamelCase  ,				out_type=__lowerCamelCase   )
      _SCREAMING_SNAKE_CASE	=				[]
      for piece in pieces:
         if len(__lowerCamelCase   ) > 1 and piece[-1] == str(","   ) and piece[-2].isdigit():
            _SCREAMING_SNAKE_CASE	=				self.sp_model.EncodeAsPieces(piece[:-1].replace(__lowerCamelCase  ,				""   )   )
            if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
               if len(cur_pieces[0]   ) == 1:
                  _SCREAMING_SNAKE_CASE	=				cur_pieces[1:]
               else:
                  _SCREAMING_SNAKE_CASE	=				cur_pieces[0][1:]
            cur_pieces.append(piece[-1]   )
            new_pieces.extend(__lowerCamelCase   )
         else:
            new_pieces.append(__lowerCamelCase   )

      return new_pieces



   def 							lowerCAmelCase_      (   self :     Dict  ,				__lowerCamelCase :     Any   ):

      """simple docstring"""
      return self.sp_model.PieceToId(__lowerCamelCase   )



   def 							lowerCAmelCase_      (   self :     Dict  ,				__lowerCamelCase :     str   ):

      """simple docstring"""
      return self.sp_model.IdToPiece(__lowerCamelCase   )



   def 							lowerCAmelCase_      (   self :     Tuple  ,				__lowerCamelCase :     int   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				"".join(__lowerCamelCase   ).replace(__lowerCamelCase  ,				" "   ).strip()
      return out_string



   def 							lowerCAmelCase_      (   self :     Union[str, Any]  ,				__lowerCamelCase :     List[int]  ,				__lowerCamelCase :     Optional[List[int]] = None   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				[self.sep_token_id]
      _SCREAMING_SNAKE_CASE	=				[self.cls_token_id]
      if token_ids_a is None:
         return token_ids_a + sep + cls
      return token_ids_a + sep + token_ids_a + sep + cls



   def 							lowerCAmelCase_      (   self :     List[Any]  ,				__lowerCamelCase :     List[int]  ,				__lowerCamelCase :     Optional[List[int]] = None  ,				__lowerCamelCase :     bool = False   ):

      """simple docstring"""

      if already_has_special_tokens:
         return super().get_special_tokens_mask(
             token_ids_a=__lowerCamelCase  ,				token_ids_a=__lowerCamelCase  ,				already_has_special_tokens=__lowerCamelCase   )

      if token_ids_a is not None:
         return ([0] * len(__lowerCamelCase   )) + [1] + ([0] * len(__lowerCamelCase   )) + [1, 1]
      return ([0] * len(__lowerCamelCase   )) + [1, 1]



   def 							lowerCAmelCase_      (   self :     str  ,				__lowerCamelCase :     List[int]  ,				__lowerCamelCase :     Optional[List[int]] = None   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				[self.sep_token_id]
      _SCREAMING_SNAKE_CASE	=				[2]

      if token_ids_a is None:
         return len(token_ids_a + sep   ) * [0] + cls_segment_id
      return len(token_ids_a + sep   ) * [0] + len(token_ids_a + sep   ) * [1] + cls_segment_id



   def 							lowerCAmelCase_      (   self :     str  ,				__lowerCamelCase :     str  ,				__lowerCamelCase :     Optional[str] = None   ):

      """simple docstring"""
      if not os.path.isdir(__lowerCamelCase   ):
         logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""   )
         return
      _SCREAMING_SNAKE_CASE	=				os.path.join(
          __lowerCamelCase  ,				(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]   )

      if os.path.abspath(self.vocab_file   ) != os.path.abspath(__lowerCamelCase   ) and os.path.isfile(self.vocab_file   ):
         copyfile(self.vocab_file  ,				__lowerCamelCase   )
      elif not os.path.isfile(self.vocab_file   ):
         with open(__lowerCamelCase  ,				"wb"   ) as fi:
            _SCREAMING_SNAKE_CASE	=				self.sp_model.serialized_model_proto()
            fi.write(__lowerCamelCase   )

      return (out_vocab_file,)



   def 							lowerCAmelCase_      (   self :     int  ,				*__lowerCamelCase :     Any  ,				**__lowerCamelCase :     List[Any]   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				super()._decode(*__lowerCamelCase  ,				**__lowerCamelCase   )
      _SCREAMING_SNAKE_CASE	=				text.replace(" "  ,				""   ).replace("\u2582"  ,				" "   ).replace("\u2583"  ,				"\n"   )
      return text










'''simple docstring'''



def 			SCREAMING_SNAKE_CASE_			(							__A    :			list  )			->			list:
   if len(__A  ) <= 1:
      return lst

   _SCREAMING_SNAKE_CASE	=				1

   while i < len(__A  ):
      if lst[i - 1] <= lst[i]:
         i += 1
      else:
         _SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE	=				lst[i], lst[i - 1]
         i -= 1
         if i == 0:
            _SCREAMING_SNAKE_CASE	=				1

   return lst


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

