





import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mvp import MvpTokenizer


snake_case 				=       logging.get_logger(__name__)


snake_case 				=       {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

# See all MVP models at https://huggingface.co/models?filter=mvp
snake_case 				=       {
    '''vocab_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json''',
    },
    '''added_tokens.json''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json''',
    },
    '''merges_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt''',
    },
    '''tokenizer_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/tokenizer.json''',
    },
}

snake_case 				=       {
    '''RUCAIBox/mvp''': 1_0_2_4,
}





class 				A_				(      __UpperCAmelCase	):







							"""simple docstring"""





							SCREAMING_SNAKE_CASE_      : Tuple      =  VOCAB_FILES_NAMES
							SCREAMING_SNAKE_CASE_      : Union[str, Any]      =  PRETRAINED_VOCAB_FILES_MAP
							SCREAMING_SNAKE_CASE_      : Any      =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							SCREAMING_SNAKE_CASE_      : Dict      =  ['''input_ids''', '''attention_mask''']
							SCREAMING_SNAKE_CASE_      : Optional[int]      =  MvpTokenizer







							def __init__(    self	:	Dict						,__A	:	int=None						,__A	:	int=None						,__A	:	Any=None						,__A	:	int="replace"						,__A	:	List[Any]="<s>"						,__A	:	Union[str, Any]="</s>"						,__A	:	Union[str, Any]="</s>"						,__A	:	Optional[int]="<s>"						,__A	:	Optional[int]="<unk>"						,__A	:	int="<pad>"						,__A	:	Any="<mask>"						,__A	:	int=False						,__A	:	Union[str, Any]=True						,**__A	:	List[Any]						,)						->					Dict:
									super().__init__(
									    __SCREAMING_SNAKE_CASE						,__SCREAMING_SNAKE_CASE						,tokenizer_file=__SCREAMING_SNAKE_CASE						,errors=__SCREAMING_SNAKE_CASE						,bos_token=__SCREAMING_SNAKE_CASE						,eos_token=__SCREAMING_SNAKE_CASE						,sep_token=__SCREAMING_SNAKE_CASE						,cls_token=__SCREAMING_SNAKE_CASE						,unk_token=__SCREAMING_SNAKE_CASE						,pad_token=__SCREAMING_SNAKE_CASE						,mask_token=__SCREAMING_SNAKE_CASE						,add_prefix_space=__SCREAMING_SNAKE_CASE						,trim_offsets=__SCREAMING_SNAKE_CASE						,**__SCREAMING_SNAKE_CASE						,)

									_lowercase							= json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()  )
									if pre_tok_state.get('add_prefix_space'						,__SCREAMING_SNAKE_CASE  ) != add_prefix_space:
											_lowercase							= getattr(__SCREAMING_SNAKE_CASE						,pre_tok_state.pop('type'  )  )
											_lowercase							= add_prefix_space
											_lowercase							= pre_tok_class(**__SCREAMING_SNAKE_CASE  )

									_lowercase							= add_prefix_space

									# the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
									_lowercase							= 'post_processor'
									_lowercase							= getattr(self.backend_tokenizer						,__SCREAMING_SNAKE_CASE						,__SCREAMING_SNAKE_CASE  )
									if tokenizer_component_instance:
											_lowercase							= json.loads(tokenizer_component_instance.__getstate__()  )

											# The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
											if "sep" in state:
													_lowercase							= tuple(state['sep']  )
											if "cls" in state:
													_lowercase							= tuple(state['cls']  )

											_lowercase							= False

											if state.get('add_prefix_space'						,__SCREAMING_SNAKE_CASE  ) != add_prefix_space:
													_lowercase							= add_prefix_space
													_lowercase							= True

											if state.get('trim_offsets'						,__SCREAMING_SNAKE_CASE  ) != trim_offsets:
													_lowercase							= trim_offsets
													_lowercase							= True

											if changes_to_apply:
													_lowercase							= getattr(__SCREAMING_SNAKE_CASE						,state.pop('type'  )  )
													_lowercase							= component_class(**__SCREAMING_SNAKE_CASE  )
													setattr(self.backend_tokenizer						,__SCREAMING_SNAKE_CASE						,__SCREAMING_SNAKE_CASE  )







							@property
							def    __UpperCAmelCase (    self	:	List[str]  )						->					int:

									if self._mask_token is None:
											if self.verbose:
													logger.error('Using mask_token, but it is not set yet.'  )
											return None
									return str(self._mask_token  )







							@mask_token.setter
							def    __UpperCAmelCase (    self	:	List[str]						,__A	:	Union[str, Any]  )						->					List[Any]:
									_lowercase							= AddedToken(__SCREAMING_SNAKE_CASE						,lstrip=__SCREAMING_SNAKE_CASE						,rstrip=__SCREAMING_SNAKE_CASE  ) if isinstance(__SCREAMING_SNAKE_CASE						,__SCREAMING_SNAKE_CASE  ) else value
									_lowercase							= value







							def    __UpperCAmelCase (    self	:	Tuple						,*__A	:	List[str]						,**__A	:	Dict  )						->					Optional[Any]:
									_lowercase							= kwargs.get('is_split_into_words'						,__SCREAMING_SNAKE_CASE  )

									if is_split_into_words and not self.add_prefix_space:
											raise ValueError(
											    F"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
											    'to use it with pretokenized inputs.'  )

									return super()._batch_encode_plus(*__SCREAMING_SNAKE_CASE						,**__SCREAMING_SNAKE_CASE  )







							def    __UpperCAmelCase (    self	:	Any						,*__A	:	List[Any]						,**__A	:	Dict  )						->					Any:
									_lowercase							= kwargs.get('is_split_into_words'						,__SCREAMING_SNAKE_CASE  )

									if is_split_into_words and not self.add_prefix_space:
											raise ValueError(
											    F"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
											    'to use it with pretokenized inputs.'  )

									return super()._encode_plus(*__SCREAMING_SNAKE_CASE						,**__SCREAMING_SNAKE_CASE  )







							def    __UpperCAmelCase (    self	:	Optional[int]						,__A	:	str						,__A	:	Optional[str] = None  )						->					Optional[int]:
									_lowercase							= self._tokenizer.model.save(__SCREAMING_SNAKE_CASE						,name=__SCREAMING_SNAKE_CASE  )
									return tuple(__SCREAMING_SNAKE_CASE  )







							def    __UpperCAmelCase (    self	:	str						,__A	:	str						,__A	:	List[Any]=None  )						->					int:
									_lowercase							= [self.bos_token_id] + token_ids_a + [self.eos_token_id]
									if token_ids_a is None:
											return output

									return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]







							def    __UpperCAmelCase (    self	:	Any						,__A	:	List[int]						,__A	:	Optional[List[int]] = None  )						->					Any:
									_lowercase							= [self.sep_token_id]
									_lowercase							= [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 + sep + token_ids_a + sep  ) * [0]






def 							SCREAMING_SNAKE_CASE__       (  snake_case__  :List[str]     )      ->						Dict:
  _lowercase							= len(snake_case__     )
  while cur > 1:
    # Find the maximum number in arr
    _lowercase							= arr.index(max(arr[0:cur]     )     )
    # Reverse from 0 to mi
    _lowercase							= arr[mi::-1] + arr[mi + 1 : len(snake_case__     )]
    # Reverse whole list
    _lowercase							= arr[cur - 1 :: -1] + arr[cur : len(snake_case__     )]
    cur -= 1
  return arr


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