
'''simple docstring'''






from ...processing_utils import ProcessorMixin

class  UpperCAmelCase__						(       A ):
    lowerCAmelCase_				    =		['image_processor', 'feature_extractor']
    lowerCAmelCase_				    =		'TvltImageProcessor'
    lowerCAmelCase_				    =		'TvltFeatureExtractor'



    def __init__(	self      :       Any,__A      :       List[Any],__A      :       str     ):
          super().__init__(image_processor=__A,feature_extractor=__A     )

          _lowerCamelCase				:   Dict								=   image_processor
          _lowerCamelCase				:   List[str]								=   feature_extractor



    def __call__(	self      :       List[Any],__A      :       Optional[int]=None,__A      :       List[Any]=None,__A      :       List[str]=None,__A      :       int=None,__A      :       Tuple=False,__A      :       Dict=False,*__A      :       List[Any],**__A      :       Optional[Any],):

          if images is None and audio is None:
                raise ValueError("You need to specify either an `images` or `audio` input to process."     )

          _lowerCamelCase				:   List[Any]								=   None
          if images is not None:
                _lowerCamelCase				:   Optional[int]								=   self.image_processor(__A,mask_pixel=__A,*__A,**__A     )
          if images_mixed is not None:
                _lowerCamelCase				:   Dict								=   self.image_processor(__A,is_mixed=__A,*__A,**__A     )
          if audio is not None:
                _lowerCamelCase				:   Optional[int]								=   self.feature_extractor(
                    __A,*__A,sampling_rate=__A,mask_audio=__A,**__A     )

          _lowerCamelCase				:   Dict								=   {}
          if audio is not None:
                output_dict.update(__A     )
          if images is not None:
                output_dict.update(__A     )
          if images_mixed_dict is not None:
                output_dict.update(__A     )
          return output_dict



    @property
    def   lowerCamelCase_  (	self      :       Optional[int]     ):
          _lowerCamelCase				:   Optional[int]								=   self.image_processor.model_input_names
          _lowerCamelCase				:   Any								=   self.feature_extractor.model_input_names
          return list(dict.fromkeys(image_processor_input_names + feature_extractor_input_names     )     )

'''simple docstring'''






from __future__ import annotations







def 		A_       (	_lowerCAmelCase   :    list[int]				,	_lowerCAmelCase   :    int				,	_lowerCAmelCase   :    int				,	_lowerCAmelCase   :    int							):



      """simple docstring"""




      if (direction == 1 and array[indexa] > array[indexa]) or (
          direction == 0 and array[indexa] < array[indexa]
      ):
            _lowerCamelCase						,		_lowerCamelCase				:   List[Any]								=   array[indexa], array[indexa]







def 		A_       (	_lowerCAmelCase   :    list[int]				,	_lowerCAmelCase   :    int				,	_lowerCAmelCase   :    int				,	_lowerCAmelCase   :    int							):



      """simple docstring"""




      if length > 1:
            _lowerCamelCase				:   Optional[int]								=   int(length / 2							)
            for i in range(_lowerCAmelCase				,	low + middle							):
                  comp_and_swap(_lowerCAmelCase				,	_lowerCAmelCase				,	i + middle				,	_lowerCAmelCase							)
            bitonic_merge(_lowerCAmelCase				,	_lowerCAmelCase				,	_lowerCAmelCase				,	_lowerCAmelCase							)
            bitonic_merge(_lowerCAmelCase				,	low + middle				,	_lowerCAmelCase				,	_lowerCAmelCase							)







def 		A_       (	_lowerCAmelCase   :    list[int]				,	_lowerCAmelCase   :    int				,	_lowerCAmelCase   :    int				,	_lowerCAmelCase   :    int							):



      """simple docstring"""




      if length > 1:
            _lowerCamelCase				:   Optional[Any]								=   int(length / 2							)
            bitonic_sort(_lowerCAmelCase				,	_lowerCAmelCase				,	_lowerCAmelCase				,	1							)
            bitonic_sort(_lowerCAmelCase				,	low + middle				,	_lowerCAmelCase				,	0							)
            bitonic_merge(_lowerCAmelCase				,	_lowerCAmelCase				,	_lowerCAmelCase				,	_lowerCAmelCase							)


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

 bitonic_sort(unsorted, 0, len(unsorted), 1)
 print('\nSorted array in ascending order is: ', end='')
 print(*unsorted, sep=', ')

 bitonic_merge(unsorted, 0, len(unsorted), 0)
 print('Sorted array in descending order is: ', end='')
 print(*unsorted, sep=', ')