


def 						_UpperCAmelCase    (      SCREAMING_SNAKE_CASE__      : List[str]      ,					SCREAMING_SNAKE_CASE__      : List[Any]      ,					SCREAMING_SNAKE_CASE__      : Dict      ,					SCREAMING_SNAKE_CASE__      : Optional[int]      ,					SCREAMING_SNAKE_CASE__      : Any      ,					SCREAMING_SNAKE_CASE__      : Any    ):
     if index == r:
          for j in range(UpperCamelCase__    ):
               print(data[j]      ,					end=' '    )
          print(' '    )
          return
     #  When no more elements are there to put in data[]
     if i >= n:
          return
     # current is included, put next at next location
     __UpperCamelCase   							=arr[i]
     combination_util(UpperCamelCase__      ,					UpperCamelCase__      ,					UpperCamelCase__      ,					index + 1      ,					UpperCamelCase__      ,					i + 1    )
     # current is excluded, replace it with
     # next (Note that i+1 is passed, but
     # index is not changed)
     combination_util(UpperCamelCase__      ,					UpperCamelCase__      ,					UpperCamelCase__      ,					UpperCamelCase__      ,					UpperCamelCase__      ,					i + 1    )
     # The main function that prints all combinations
     # of size r in arr[] of size n. This function
     # mainly uses combinationUtil()

def 						_UpperCAmelCase    (      SCREAMING_SNAKE_CASE__      : List[Any]      ,					SCREAMING_SNAKE_CASE__      : Dict      ,					SCREAMING_SNAKE_CASE__      : List[Any]    ):
     # A temporary array to store all combination one by one
     __UpperCamelCase   							=[0] * r
     # Print all combination using temporary array 'data[]'
     combination_util(UpperCamelCase__      ,					UpperCamelCase__      ,					UpperCamelCase__      ,					0      ,					UpperCamelCase__      ,					0    )


if __name__ == "__main__":
   # Driver code to check the function above
   _A			=						[10, 20, 30, 40, 50]
   print_combination(arr, len(arr), 3)
   # This code is contributed by Ambuj sahu










import warnings

from ...utils import logging
from .image_processing_imagegpt import ImageGPTImageProcessor


_A			=						logging.get_logger(__name__)






class    UpperCAmelCase__	( A_		):



    """simple docstring"""






    def __init__(      self ,       *A_ ,       **A_   )  ->	None:
         warnings.warn(
             'The class ImageGPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
             ' Please use ImageGPTImageProcessor instead.' ,       A_ ,       )
         super().__init__(*A_ ,       **A_   )





