"""simple docstring"""






from typing import List, Optional, Union

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType
class 				snake_case       ( __UpperCAmelCase				):




					"""simple docstring"""

					snake_case__				    = ["image_processor", "tokenizer"]
					snake_case__				    = "BridgeTowerImageProcessor"
					snake_case__				    = ("RobertaTokenizer", "RobertaTokenizerFast")







					def __init__(				self   :	List[str]    ,lowerCamelCase__   :	Dict    ,lowerCamelCase__   :	Union[str, Any]			):
									super().__init__(lowerCamelCase__    ,lowerCamelCase__			)







					def __call__(				self   :	Optional[int]    ,lowerCamelCase__   :	Tuple    ,lowerCamelCase__   :	Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]] = None    ,lowerCamelCase__   :	bool = True    ,lowerCamelCase__   :	Union[bool, str, PaddingStrategy] = False    ,lowerCamelCase__   :	Union[bool, str, TruncationStrategy] = None    ,lowerCamelCase__   :	Optional[int] = None    ,lowerCamelCase__   :	int = 0    ,lowerCamelCase__   :	Optional[int] = None    ,lowerCamelCase__   :	Optional[bool] = None    ,lowerCamelCase__   :	Optional[bool] = None    ,lowerCamelCase__   :	bool = False    ,lowerCamelCase__   :	bool = False    ,lowerCamelCase__   :	bool = False    ,lowerCamelCase__   :	bool = False    ,lowerCamelCase__   :	bool = True    ,lowerCamelCase__   :	Optional[Union[str, TensorType]] = None    ,**lowerCamelCase__   :	Tuple    ,):
									UpperCAmelCase__             =							self.tokenizer(
									    text=lowerCamelCase__    ,add_special_tokens=lowerCamelCase__    ,padding=lowerCamelCase__    ,truncation=lowerCamelCase__    ,max_length=lowerCamelCase__    ,stride=lowerCamelCase__    ,pad_to_multiple_of=lowerCamelCase__    ,return_token_type_ids=lowerCamelCase__    ,return_attention_mask=lowerCamelCase__    ,return_overflowing_tokens=lowerCamelCase__    ,return_special_tokens_mask=lowerCamelCase__    ,return_offsets_mapping=lowerCamelCase__    ,return_length=lowerCamelCase__    ,verbose=lowerCamelCase__    ,return_tensors=lowerCamelCase__    ,**lowerCamelCase__    ,)
									# add pixel_values + pixel_mask
									UpperCAmelCase__             =							self.image_processor(
									    lowerCamelCase__    ,return_tensors=lowerCamelCase__    ,do_normalize=lowerCamelCase__    ,do_center_crop=lowerCamelCase__    ,**lowerCamelCase__			)
									encoding.update(lowerCamelCase__			)

									return encoding







					def 		__lowerCAmelCase						(				self   :	Union[str, Any]    ,*lowerCamelCase__   :	Optional[int]    ,**lowerCamelCase__   :	Optional[Any]			):
									return self.tokenizer.batch_decode(*lowerCamelCase__    ,**lowerCamelCase__			)







					def 		__lowerCAmelCase						(				self   :	List[str]    ,*lowerCamelCase__   :	Union[str, Any]    ,**lowerCamelCase__   :	List[str]			):
									return self.tokenizer.decode(*lowerCamelCase__    ,**lowerCamelCase__			)







					@property
					def 		__lowerCAmelCase						(				self   :	int			):
									UpperCAmelCase__             =							self.tokenizer.model_input_names
									UpperCAmelCase__             =							self.image_processor.model_input_names
									return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names			)			)










"""simple docstring"""
def      __lowerCamelCase   (							a_     :		list							)			->      list:

      if len(a_							) < 2:
            return collection

      def circle_sort_util(a_     :		list ,   a_     :		int ,   a_     :		int							) -> bool:
            __SCREAMING_SNAKE_CASE   :int						=  False

            if low == high:
                  return swapped

            __SCREAMING_SNAKE_CASE   :int						=  low
            __SCREAMING_SNAKE_CASE   :Tuple						=  high

            while left < right:
                  if collection[left] > collection[right]:
                        __SCREAMING_SNAKE_CASE				,__SCREAMING_SNAKE_CASE   :str						=  (
                            collection[right],
                            collection[left],
                        )
                        __SCREAMING_SNAKE_CASE   :Optional[int]						=  True

                  left += 1
                  right -= 1

            if left == right and collection[left] > collection[right + 1]:
                  __SCREAMING_SNAKE_CASE				,__SCREAMING_SNAKE_CASE   :Tuple						=  (
                      collection[right + 1],
                      collection[left],
                  )

                  __SCREAMING_SNAKE_CASE   :Tuple						=  True

            __SCREAMING_SNAKE_CASE   :int						=  low + int((high - low) / 2							)
            __SCREAMING_SNAKE_CASE   :int						=  circle_sort_util(a_ ,   a_ ,   a_							)
            __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  circle_sort_util(a_ ,   mid + 1 ,   a_							)

            return swapped or left_swap or right_swap

      __SCREAMING_SNAKE_CASE   :Optional[Any]						=  True

      while is_not_sorted is True:
            __SCREAMING_SNAKE_CASE   :Tuple						=  circle_sort_util(a_ ,   0 ,   len(a_							) - 1							)

      return collection


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