

'''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''': {
        '''xlnet-base-cased''': '''https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model''',
        '''xlnet-large-cased''': '''https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model''',
    }
}

lowerCAmelCase__											=	{
    '''xlnet-base-cased''': None,
    '''xlnet-large-cased''': None,
}

# Segments (not really needed)
lowerCAmelCase__											=	0
lowerCAmelCase__											=	1
lowerCAmelCase__											=	2
lowerCAmelCase__											=	3
lowerCAmelCase__											=	4






class 			lowercase_	(_snake_case      ):




  """simple docstring"""




  SCREAMING_SNAKE_CASE    :  Union[str, Any]							=			VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE    :  int							=			PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE    :  Tuple							=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE    :  Union[str, Any]							=			'''left'''






  def __init__(      self   :     Optional[int]					,lowercase__   :     List[Any]					,lowercase__   :     List[str]=False					,lowercase__   :     Optional[int]=True					,lowercase__   :     Optional[Any]=False					,lowercase__   :     List[str]="<s>"					,lowercase__   :     List[str]="</s>"					,lowercase__   :     Union[str, Any]="<unk>"					,lowercase__   :     Tuple="<sep>"					,lowercase__   :     Union[str, Any]="<pad>"					,lowercase__   :     Any="<cls>"					,lowercase__   :     Dict="<mask>"					,lowercase__   :     List[str]=["<eop>", "<eod>"]					,lowercase__   :     Optional[Any] = None					,**lowercase__   :     Tuple					,):
   # Mask token behave like a normal word, i.e. include the space before it
   __lowercase							  = AddedToken(_UpperCamelCase					,lstrip=_UpperCamelCase					,rstrip=_UpperCamelCase			) if isinstance(_UpperCamelCase					,_UpperCamelCase			) else mask_token

   __lowercase							  = {} if sp_model_kwargs is None else sp_model_kwargs

   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					,additional_special_tokens=_UpperCamelCase					,sp_model_kwargs=self.sp_model_kwargs					,**_UpperCamelCase					,)

   __lowercase							  = 3

   __lowercase							  = do_lower_case
   __lowercase							  = remove_space
   __lowercase							  = keep_accents
   __lowercase							  = vocab_file

   __lowercase							  = spm.SentencePieceProcessor(**self.sp_model_kwargs			)
   self.sp_model.Load(_UpperCamelCase			)






  @property
  def 					SCREAMING_SNAKE_CASE      (      self   :     Tuple			):
   return len(self.sp_model			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     Tuple			):
   __lowercase							  = {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   :     List[str]			):
   __lowercase							  = self.__dict__.copy()
   __lowercase							  = None
   return state






  def __setstate__(      self   :     Optional[Any]					,lowercase__   :     Dict			):
   __lowercase							  = d

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

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






  def 					SCREAMING_SNAKE_CASE      (      self   :     Union[str, Any]					,lowercase__   :     str			):
   if self.remove_space:
    __lowercase							  = ' '.join(inputs.strip().split()			)
   else:
    __lowercase							  = inputs
   __lowercase							  = outputs.replace('''``'''					,'''"'''			).replace('''\'\''''					,'''"'''			)

   if not self.keep_accents:
    __lowercase							  = unicodedata.normalize('''NFKD'''					,_UpperCamelCase			)
    __lowercase							  = ''.join([c for c in outputs if not unicodedata.combining(_UpperCamelCase			)]			)
   if self.do_lower_case:
    __lowercase							  = outputs.lower()

   return outputs






  def 					SCREAMING_SNAKE_CASE      (      self   :     Union[str, Any]					,lowercase__   :     Optional[int]			):
   __lowercase							  = self.preprocess_text(_UpperCamelCase			)
   __lowercase							  = self.sp_model.encode(_UpperCamelCase					,out_type=_UpperCamelCase			)
   __lowercase							  = []
   for piece in pieces:
    if len(_UpperCamelCase			) > 1 and piece[-1] == str(''','''			) and piece[-2].isdigit():
     __lowercase							  = self.sp_model.EncodeAsPieces(piece[:-1].replace(_UpperCamelCase					,''''''			)			)
     if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
      if len(cur_pieces[0]			) == 1:
       __lowercase							  = cur_pieces[1:]
      else:
       __lowercase							  = cur_pieces[0][1:]
     cur_pieces.append(piece[-1]			)
     new_pieces.extend(_UpperCamelCase			)
    else:
     new_pieces.append(_UpperCamelCase			)

   return new_pieces






  def 					SCREAMING_SNAKE_CASE      (      self   :     Union[str, Any]					,lowercase__   :     str			):
   return self.sp_model.PieceToId(_UpperCamelCase			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     Tuple					,lowercase__   :     List[str]			):
   return self.sp_model.IdToPiece(_UpperCamelCase			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     Tuple					,lowercase__   :     int			):
   __lowercase							  = ''.join(_UpperCamelCase			).replace(_UpperCamelCase					,''' '''			).strip()
   return out_string






  def 					SCREAMING_SNAKE_CASE      (      self   :     Optional[int]					,lowercase__   :     Union[str, Any]					,lowercase__   :     Any = False					,lowercase__   :     int = None					,lowercase__   :     Any = True					,**lowercase__   :     List[Any]					,):
   __lowercase							  = kwargs.pop('''use_source_tokenizer'''					,_UpperCamelCase			)

   __lowercase							  = self.convert_ids_to_tokens(_UpperCamelCase					,skip_special_tokens=_UpperCamelCase			)

   # To avoid mixing byte-level and unicode for byte-level BPT
   # we need to build string separately for added tokens and byte-level tokens
   # cf. https://github.com/huggingface/transformers/issues/1133
   __lowercase							  = []
   __lowercase							  = []
   for token in filtered_tokens:
    if skip_special_tokens and token in self.all_special_ids:
     continue
    if token in self.added_tokens_encoder:
     if current_sub_text:
      sub_texts.append(self.convert_tokens_to_string(_UpperCamelCase			)			)
      __lowercase							  = []
     sub_texts.append(_UpperCamelCase			)
    else:
     current_sub_text.append(_UpperCamelCase			)
   if current_sub_text:
    sub_texts.append(self.convert_tokens_to_string(_UpperCamelCase			)			)

   # Mimic the behavior of the Rust tokenizer:
   # By default, there are no spaces between special tokens
   __lowercase							  = ''.join(_UpperCamelCase			)

   __lowercase							  = (
       clean_up_tokenization_spaces
       if clean_up_tokenization_spaces is not None
       else self.clean_up_tokenization_spaces
   )
   if clean_up_tokenization_spaces:
    __lowercase							  = self.clean_up_tokenization(_UpperCamelCase			)
    return clean_text
   else:
    return text






  def 					SCREAMING_SNAKE_CASE      (      self   :     Dict					,lowercase__   :     Tuple					,lowercase__   :     Dict = None			):
   __lowercase							  = [self.sep_token_id]
   __lowercase							  = [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 					SCREAMING_SNAKE_CASE      (      self   :     Dict					,lowercase__   :     Any					,lowercase__   :     Any = None					,lowercase__   :     Tuple = False			):

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

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






  def 					SCREAMING_SNAKE_CASE      (      self   :     Tuple					,lowercase__   :     Tuple					,lowercase__   :     Optional[int] = None			):
   __lowercase							  = [self.sep_token_id]
   __lowercase							  = [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 					SCREAMING_SNAKE_CASE      (      self   :     str					,lowercase__   :     List[Any]					,lowercase__   :     str = None			):
   if not os.path.isdir(_UpperCamelCase			):
    logger.error(F"Vocabulary path ({save_directory}) should be a directory"			)
    return
   __lowercase							  = 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							  = self.sp_model.serialized_model_proto()
     fi.write(_UpperCamelCase			)

   return (out_vocab_file,)









def      lowercase__      (     __snake_case    :							list  ):


					'''simple docstring'''


					for i in range(len(__snake_case  ) - 1     ,       0     ,       -1  ):
										UpperCAmelCase_    :      Dict            =						False

										for j in range(__snake_case     ,       0     ,       -1  ):
															if unsorted[j] < unsorted[j - 1]:
																				UpperCAmelCase_       ,  UpperCAmelCase_    :      Any            =						unsorted[j - 1], unsorted[j]
																				UpperCAmelCase_    :      int            =						True

										for j in range(__snake_case  ):
															if unsorted[j] > unsorted[j + 1]:
																				UpperCAmelCase_       ,  UpperCAmelCase_    :      Optional[int]            =						unsorted[j + 1], unsorted[j]
																				UpperCAmelCase_    :      Any            =						True

										if not swapped:
															break
					return unsorted


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		__UpperCAmelCase								=						input('Enter numbers separated by a comma:\n').strip()
		__UpperCAmelCase								=						[int(item) for item in user_input.split(',')]
		print(F'{cocktail_shaker_sort(unsorted) = }')






