


"""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							:      List[str]						=      logging.get_logger(__name__)

__lowerCAmelCase							:      int						=      {"vocab_file": "spiece.model"}

__lowerCAmelCase							:      Optional[Any]						=      {
    "vocab_file": {
        "TsinghuaAI/CPM-Generate": "https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model",
    }
}





class        __A       (_SCREAMING_SNAKE_CASE):





							'''simple docstring'''

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



														"""simple docstring"""



														snake_case_          =						AddedToken(UpperCAmelCase_						,    lstrip=UpperCAmelCase_						,    rstrip=UpperCAmelCase_    ) if isinstance(UpperCAmelCase_						,    UpperCAmelCase_    ) else mask_token

														snake_case_          =						{} 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_						,    )

														snake_case_          =						3

														snake_case_          =						do_lower_case
														snake_case_          =						remove_space
														snake_case_          =						keep_accents
														snake_case_          =						vocab_file

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

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



							@property
							# Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
							def 						lowerCAmelCase    (			self							: List[str]    )   ->int:



														"""simple docstring"""



														return len(self.sp_model    )



							def 						lowerCAmelCase    (			self							: Optional[Any]    )   ->List[str]:



														"""simple docstring"""



														snake_case_          =						{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							: Dict    )   ->Optional[Any]:



														"""simple docstring"""



														snake_case_          =						self.__dict__.copy()
														snake_case_          =						None
														return state



							def __setstate__(			self							: Tuple						,    UpperCAmelCase_							: Dict    )   ->int:



														"""simple docstring"""



														snake_case_          =						d

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

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



							def 						lowerCAmelCase    (			self							: Optional[int]						,    UpperCAmelCase_							: Optional[Any]    )   ->Optional[Any]:



														"""simple docstring"""



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

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

														return outputs



							def 						lowerCAmelCase    (			self							: str						,    UpperCAmelCase_							: str    )   ->List[str]:



														"""simple docstring"""



														snake_case_          =						self.preprocess_text(UpperCAmelCase_    )
														snake_case_          =						self.sp_model.encode(UpperCAmelCase_						,    out_type=UpperCAmelCase_    )
														snake_case_          =						[]
														for piece in pieces:
																					if len(UpperCAmelCase_    ) > 1 and piece[-1] == str(""","""    ) and piece[-2].isdigit():
																												snake_case_          =						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:
																																										snake_case_          =						cur_pieces[1:]
																																			else:
																																										snake_case_          =						cur_pieces[0][1:]
																												cur_pieces.append(piece[-1]    )
																												new_pieces.extend(UpperCAmelCase_    )
																					else:
																												new_pieces.append(UpperCAmelCase_    )

														return new_pieces



							def 						lowerCAmelCase    (			self							: Dict						,    UpperCAmelCase_							: str    )   ->Optional[int]:



														"""simple docstring"""



														return self.sp_model.PieceToId(UpperCAmelCase_    )



							def 						lowerCAmelCase    (			self							: str						,    UpperCAmelCase_							: Tuple    )   ->Optional[int]:



														"""simple docstring"""



														return self.sp_model.IdToPiece(UpperCAmelCase_    )



							def 						lowerCAmelCase    (			self							: str						,    UpperCAmelCase_							: Tuple    )   ->int:



														"""simple docstring"""



														snake_case_          =						"""""".join(UpperCAmelCase_    ).replace(UpperCAmelCase_						,    """ """    ).strip()
														return out_string



							def 						lowerCAmelCase    (			self							: Optional[Any]						,    UpperCAmelCase_							: List[int]						,    UpperCAmelCase_							: Optional[List[int]] = None    )   ->List[int]:



														"""simple docstring"""



														snake_case_          =						[self.sep_token_id]
														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							: str						,    UpperCAmelCase_							: List[int]						,    UpperCAmelCase_							: Optional[List[int]] = None						,    UpperCAmelCase_							: bool = False    )   ->List[int]:



														"""simple docstring"""



														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 						lowerCAmelCase    (			self							: Dict						,    UpperCAmelCase_							: List[int]						,    UpperCAmelCase_							: Optional[List[int]] = None    )   ->List[int]:



														"""simple docstring"""



														snake_case_          =						[self.sep_token_id]
														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							: Tuple						,    UpperCAmelCase_							: str						,    UpperCAmelCase_							: Optional[str] = None    )   ->Tuple[str]:



														"""simple docstring"""



														if not os.path.isdir(UpperCAmelCase_    ):
																					logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""    )
																					return
														snake_case_          =						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:
																												snake_case_          =						self.sp_model.serialized_model_proto()
																												fi.write(UpperCAmelCase_    )

														return (out_vocab_file,)



							def 						lowerCAmelCase    (			self							: Optional[Any]						,    *UpperCAmelCase_							: Optional[int]						,    **UpperCAmelCase_							: Optional[int]    )   ->List[Any]:



														"""simple docstring"""



														snake_case_          =						super()._decode(*UpperCAmelCase_						,    **UpperCAmelCase_    )
														snake_case_          =						text.replace(""" """						,    """"""    ).replace("""\u2582"""						,    """ """    ).replace("""\u2583"""						,    """\n"""    )
														return text







"""simple docstring"""
def   _a			( _SCREAMING_SNAKE_CASE			)      ->			list[int]:
							snake_case_          =						len(_SCREAMING_SNAKE_CASE			)
							for i in range(_SCREAMING_SNAKE_CASE			):
														for j in range(i + 1			,	_SCREAMING_SNAKE_CASE			):
																					if numbers[j] < numbers[i]:
																												snake_case_    ,  snake_case_          =						numbers[j], numbers[i]
							return numbers


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



