



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


lowercase_	       =			logging.get_logger(__name__)

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

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






class 						__a (     SCREAMING_SNAKE_CASE				):



					def __init__(						self							:    List[str]				,	snake_case_							:    int				,	snake_case_							:    Tuple=False				,	snake_case_							:    List[Any]=True				,	snake_case_							:    Optional[Any]=False				,	snake_case_							:    Tuple="<s>"				,	snake_case_							:    Union[str, Any]="</s>"				,	snake_case_							:    Optional[int]="<unk>"				,	snake_case_							:    Dict="<sep>"				,	snake_case_							:    Dict="<pad>"				,	snake_case_							:    Tuple="<cls>"				,	snake_case_							:    Optional[int]="<mask>"				,	snake_case_							:    List[str]=["<eop>", "<eod>"]				,	snake_case_							:    Optional[Dict[str, Any]] = None				,	**snake_case_							:    Dict				,	)->							None:
										__lowerCAmelCase	   =AddedToken(snake_case_				,	lstrip=snake_case_				,	rstrip=snake_case_) if isinstance(snake_case_				,	snake_case_) else mask_token

										__lowerCAmelCase	   ={} if sp_model_kwargs is None else sp_model_kwargs

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

										__lowerCAmelCase	   =3

										__lowerCAmelCase	   =do_lower_case
										__lowerCAmelCase	   =remove_space
										__lowerCAmelCase	   =keep_accents
										__lowerCAmelCase	   =vocab_file

										__lowerCAmelCase	   =spm.SentencePieceProcessor(**self.sp_model_kwargs)
										self.sp_model.Load(snake_case_)

										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.""")
										__lowerCAmelCase	   =jieba
										__lowerCAmelCase	   =str.maketrans(""" \n"""				,	"""\u2582\u2583""")



					@property
					# Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
					def 		UpperCamelCase							(						self							:    Union[str, Any])->							Any:
										return len(self.sp_model)



					def 		UpperCamelCase							(						self							:    Tuple)->							List[str]:
										__lowerCAmelCase	   ={self.convert_ids_to_tokens(snake_case_): i for i in range(self.vocab_size)}
										vocab.update(self.added_tokens_encoder)
										return vocab



					def __getstate__(						self							:    Dict)->							Optional[Any]:
										__lowerCAmelCase	   =self.__dict__.copy()
										__lowerCAmelCase	   =None
										return state



					def __setstate__(						self							:    List[str]				,	snake_case_							:    Dict)->							List[str]:
										__lowerCAmelCase	   =d

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

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



					def 		UpperCamelCase							(						self							:    Dict				,	snake_case_							:    int)->							List[str]:
										if self.remove_space:
															__lowerCAmelCase	   =""" """.join(inputs.strip().split())
										else:
															__lowerCAmelCase	   =inputs
										__lowerCAmelCase	   =outputs.replace("""``"""				,	"""\"""").replace("""''"""				,	"""\"""")

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

										return outputs



					def 		UpperCamelCase							(						self							:    Any				,	snake_case_							:    str)->							List[str]:
										__lowerCAmelCase	   =self.preprocess_text(snake_case_)
										__lowerCAmelCase	   =self.sp_model.encode(snake_case_				,	out_type=snake_case_)
										__lowerCAmelCase	   =[]
										for piece in pieces:
															if len(snake_case_) > 1 and piece[-1] == str(""",""") and piece[-2].isdigit():
																				__lowerCAmelCase	   =self.sp_model.EncodeAsPieces(piece[:-1].replace(snake_case_				,	""""""))
																				if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
																									if len(cur_pieces[0]) == 1:
																														__lowerCAmelCase	   =cur_pieces[1:]
																									else:
																														__lowerCAmelCase	   =cur_pieces[0][1:]
																				cur_pieces.append(piece[-1])
																				new_pieces.extend(snake_case_)
															else:
																				new_pieces.append(snake_case_)

										return new_pieces



					def 		UpperCamelCase							(						self							:    List[Any]				,	snake_case_							:    Optional[Any])->							int:
										return self.sp_model.PieceToId(snake_case_)



					def 		UpperCamelCase							(						self							:    Tuple				,	snake_case_							:    Dict)->							List[str]:
										return self.sp_model.IdToPiece(snake_case_)



					def 		UpperCamelCase							(						self							:    List[str]				,	snake_case_							:    Dict)->							Dict:
										__lowerCAmelCase	   ="""""".join(snake_case_).replace(snake_case_				,	""" """).strip()
										return out_string



					def 		UpperCamelCase							(						self							:    int				,	snake_case_							:    List[int]				,	snake_case_							:    Optional[List[int]] = None)->							List[int]:
										__lowerCAmelCase	   =[self.sep_token_id]
										__lowerCAmelCase	   =[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 		UpperCamelCase							(						self							:    Dict				,	snake_case_							:    List[int]				,	snake_case_							:    Optional[List[int]] = None				,	snake_case_							:    bool = False)->							List[int]:

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

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



					def 		UpperCamelCase							(						self							:    Optional[Any]				,	snake_case_							:    List[int]				,	snake_case_							:    Optional[List[int]] = None)->							List[int]:
										__lowerCAmelCase	   =[self.sep_token_id]
										__lowerCAmelCase	   =[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 		UpperCamelCase							(						self							:    str				,	snake_case_							:    str				,	snake_case_							:    Optional[str] = None)->							Tuple[str]:
										if not os.path.isdir(snake_case_):
															logger.error(F"""Vocabulary path ({save_directory}) should be a directory""")
															return
										__lowerCAmelCase	   =os.path.join(
										    snake_case_				,	(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""])

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

										return (out_vocab_file,)



					def 		UpperCamelCase							(						self							:    List[str]				,	*snake_case_							:    List[str]				,	**snake_case_							:    List[str])->							int:
										__lowerCAmelCase	   =super()._decode(*snake_case_				,	**snake_case_)
										__lowerCAmelCase	   =text.replace(""" """				,	"""""").replace("""\u2582"""				,	""" """).replace("""\u2583"""				,	"""\n""")
										return text









def 					__lowerCAmelCase		(  __lowerCamelCase	:    list	)  ->						list:
					if len(__lowerCamelCase	) <= 1:
										return lst

					__lowerCAmelCase	   =1

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

					return lst


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




