





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

import sentencepiece as spm

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


_UpperCAmelCase				:       int	   =				logging.get_logger(__name__)

_UpperCAmelCase				:       int	   =				{"""vocab_file""": """sentencepiece.model"""}

_UpperCAmelCase				:       Optional[Any]	   =				{
    """vocab_file""": {
        """google/rembert""": """https://huggingface.co/google/rembert/resolve/main/sentencepiece.model""",
    },
}

_UpperCAmelCase				:       Union[str, Any]	   =				{
    """google/rembert""": 2_56,
}

class    lowerCAmelCase							(					__UpperCamelCase			):
 UpperCAmelCase__													=		VOCAB_FILES_NAMES
 UpperCAmelCase__													=		PRETRAINED_VOCAB_FILES_MAP
 UpperCAmelCase__													=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 def __init__(      self  :      List[Any]			,     UpperCAmelCase  :      Any			,     UpperCAmelCase  :      Optional[Any]=False			,     UpperCAmelCase  :      Union[str, Any]=True			,     UpperCAmelCase  :      List[Any]=True			,     UpperCAmelCase  :      Dict="[CLS]"			,     UpperCAmelCase  :      Optional[Any]="[SEP]"			,     UpperCAmelCase  :      str="[UNK]"			,     UpperCAmelCase  :      Tuple="[SEP]"			,     UpperCAmelCase  :      Dict="[PAD]"			,     UpperCAmelCase  :      str="[CLS]"			,     UpperCAmelCase  :      str="[MASK]"			,     **UpperCAmelCase  :      str			,     )			->	Any:
     super().__init__(
         do_lower_case=UpperCAmelCase			,     remove_space=UpperCAmelCase			,     keep_accents=UpperCAmelCase			,     bos_token=UpperCAmelCase			,     eos_token=UpperCAmelCase			,     unk_token=UpperCAmelCase			,     sep_token=UpperCAmelCase			,     pad_token=UpperCAmelCase			,     cls_token=UpperCAmelCase			,     mask_token=UpperCAmelCase			,     **UpperCAmelCase			,     )

     lowerCamelCase__    :      Tuple					 =		do_lower_case
     lowerCamelCase__    :      Tuple					 =		remove_space
     lowerCamelCase__    :      Any					 =		keep_accents
     lowerCamelCase__    :      Union[str, Any]					 =		vocab_file

     lowerCamelCase__    :      str					 =		spm.SentencePieceProcessor()
     self.sp_model.Load(UpperCAmelCase	)
 @property
 def      A_	(      self  :      str	)			->	int:
     return len(self.sp_model	)
 def      A_	(      self  :      Any	)			->	str:
     lowerCamelCase__    :      Optional[int]					 =		{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  :      Tuple	)			->	Dict:
     lowerCamelCase__    :      Union[str, Any]					 =		self.__dict__.copy()
     lowerCamelCase__    :      Any					 =		None
     return state
 def __setstate__(      self  :      List[str]			,     UpperCAmelCase  :      Any	)			->	Tuple:
     lowerCamelCase__    :      List[Any]					 =		d
     lowerCamelCase__    :      Optional[Any]					 =		spm.SentencePieceProcessor()
     self.sp_model.Load(self.vocab_file	)
 def      A_	(      self  :      int			,     UpperCAmelCase  :      Optional[int]			,     UpperCAmelCase  :      Optional[Any]=False	)			->	int:
     lowerCamelCase__    :      Any					 =		self.sp_model.EncodeAsPieces(UpperCAmelCase	)
     return pieces
 def      A_	(      self  :      Optional[int]			,     UpperCAmelCase  :      Union[str, Any]	)			->	List[Any]:
     return self.sp_model.PieceToId(UpperCAmelCase	)
 def      A_	(      self  :      Union[str, Any]			,     UpperCAmelCase  :      Tuple	)			->	List[Any]:
     return self.sp_model.IdToPiece(UpperCAmelCase	)
 def      A_	(      self  :      Dict			,     UpperCAmelCase  :      Optional[Any]	)			->	Optional[Any]:
     lowerCamelCase__    :      Any					 =		self.sp_model.decode_pieces(UpperCAmelCase	)
     return out_string
 def      A_	(      self  :      int			,     UpperCAmelCase  :      List[int]			,     UpperCAmelCase  :      Optional[List[int]] = None	)			->	List[int]:
     lowerCamelCase__    :      int					 =		[self.sep_token_id]
     lowerCamelCase__    :      Optional[int]					 =		[self.cls_token_id]
     if token_ids_a is None:
         return cls + token_ids_a + sep
     return cls + token_ids_a + sep + token_ids_a + sep
 def      A_	(      self  :      List[str]			,     UpperCAmelCase  :      List[int]			,     UpperCAmelCase  :      Optional[List[int]] = None			,     UpperCAmelCase  :      bool = False	)			->	List[int]:

     if already_has_special_tokens:
         if token_ids_a is not None:
             raise ValueError(
                 'You should not supply a second sequence if the provided sequence of '
                 'ids is already formatted with special tokens for the model.'	)
         return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

     if token_ids_a is not None:
         return [1] + ([0] * len(UpperCAmelCase	)) + [1] + ([0] * len(UpperCAmelCase	)) + [1]
     return [1] + ([0] * len(UpperCAmelCase	)) + [1]
 def      A_	(      self  :      List[str]			,     UpperCAmelCase  :      List[int]			,     UpperCAmelCase  :      Optional[List[int]] = None	)			->	List[int]:
     lowerCamelCase__    :      Union[str, Any]					 =		[self.sep_token_id]
     lowerCamelCase__    :      str					 =		[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	) * [0] + len(token_ids_a + sep	) * [1]







 def      A_	(      self  :      Tuple			,     UpperCAmelCase  :      str			,     UpperCAmelCase  :      Optional[str] = None	)			->	Tuple[str]:
     if not os.path.isdir(UpperCAmelCase	):
         logger.error('Vocabulary path ({}) should be a directory'.format(UpperCAmelCase	)	)
         return
     lowerCamelCase__    :      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	):
         copyfile(self.vocab_file			,     UpperCAmelCase	)

     return (out_vocab_file,)






'''simple docstring'''

def 			__UpperCamelCase       (   UpperCAmelCase     ):
 lowercase__ ,							lowercase__				:    Optional[int]  =					[], []
 while len(UpperCAmelCase     ) > 1:
  lowercase__ ,							lowercase__				:    List[str]  =					min(UpperCAmelCase     ), max(UpperCAmelCase     )
  start.append(UpperCAmelCase     )
  end.append(UpperCAmelCase     )
  collection.remove(UpperCAmelCase     )
  collection.remove(UpperCAmelCase     )
 end.reverse()
 return start + collection + end


if __name__ == "__main__":
  __a: Optional[int]          =   input("""Enter numbers separated by a comma:\n""").strip()
  __a: Tuple          =   [int(item) for item in user_input.split(""",""")]
  print(*merge_sort(unsorted), sep=""",""")

