





from typing import List, Optional, Union

from ...image_utils import ImageInput
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType





class 				A_				(      UpperCAmelCase	):







							"""simple docstring"""





							SCREAMING_SNAKE_CASE_      : List[str]      =  ['''image_processor''', '''tokenizer''']
							SCREAMING_SNAKE_CASE_      : Tuple      =  '''BlipImageProcessor'''
							SCREAMING_SNAKE_CASE_      : List[Any]      =  ('''BertTokenizer''', '''BertTokenizerFast''')







							def __init__(    self	:	str						,__A	:	Tuple						,__A	:	Optional[int]  )						->					Optional[int]:
									_lowercase							= False
									super().__init__(__A						,__A  )
									_lowercase							= self.image_processor







							def __call__(    self	:	Tuple						,__A	:	ImageInput = None						,__A	:	Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]] = None						,__A	:	bool = True						,__A	:	Union[bool, str, PaddingStrategy] = False						,__A	:	Union[bool, str, TruncationStrategy] = None						,__A	:	Optional[int] = None						,__A	:	int = 0						,__A	:	Optional[int] = None						,__A	:	Optional[bool] = None						,__A	:	bool = False						,__A	:	bool = False						,__A	:	bool = False						,__A	:	bool = False						,__A	:	bool = False						,__A	:	bool = True						,__A	:	Optional[Union[str, TensorType]] = None						,**__A	:	str						,)						->					BatchEncoding:
									if images is None and text is None:
											raise ValueError('You have to specify either images or text.'  )

									# Get only text
									if images is None:
											_lowercase							= self.tokenizer
											_lowercase							= self.tokenizer(
											    text=__A						,add_special_tokens=__A						,padding=__A						,truncation=__A						,max_length=__A						,stride=__A						,pad_to_multiple_of=__A						,return_attention_mask=__A						,return_overflowing_tokens=__A						,return_special_tokens_mask=__A						,return_offsets_mapping=__A						,return_token_type_ids=__A						,return_length=__A						,verbose=__A						,return_tensors=__A						,**__A						,)
											return text_encoding

									# add pixel_values
									_lowercase							= self.image_processor(__A						,return_tensors=__A  )

									if text is not None:
											_lowercase							= self.tokenizer(
											    text=__A						,add_special_tokens=__A						,padding=__A						,truncation=__A						,max_length=__A						,stride=__A						,pad_to_multiple_of=__A						,return_attention_mask=__A						,return_overflowing_tokens=__A						,return_special_tokens_mask=__A						,return_offsets_mapping=__A						,return_token_type_ids=__A						,return_length=__A						,verbose=__A						,return_tensors=__A						,**__A						,)
									else:
											_lowercase							= None

									if text_encoding is not None:
											encoding_image_processor.update(__A  )

									return encoding_image_processor







							def    __UpperCAmelCase (    self	:	List[str]						,*__A	:	Any						,**__A	:	Optional[Any]  )						->					Dict:
									return self.tokenizer.batch_decode(*__A						,**__A  )







							def    __UpperCAmelCase (    self	:	List[Any]						,*__A	:	Any						,**__A	:	int  )						->					Tuple:
									return self.tokenizer.decode(*__A						,**__A  )







							@property
							def    __UpperCAmelCase (    self	:	Optional[int]  )						->					Union[str, Any]:
									_lowercase							= self.tokenizer.model_input_names
									_lowercase							= self.image_processor.model_input_names
									return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names  )  )






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))