
"""simple docstring"""





def 		_lowerCAmelCase							(							UpperCamelCase_    ,							UpperCamelCase_    ,							UpperCamelCase_    ,							UpperCamelCase_    ,							UpperCamelCase_    ,							UpperCamelCase_							):







		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
		__SCREAMING_SNAKE_CASE				=					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 		_lowerCAmelCase							(							UpperCamelCase_    ,							UpperCamelCase_    ,							UpperCamelCase_							):
		__SCREAMING_SNAKE_CASE				=					[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
							__magic_name__			=     [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_perceiver import PerceiverImageProcessor


SCREAMING_SNAKE_CASE__     :     List[Any]		    =       logging.get_logger(__name__)



class       a_       (     SCREAMING_SNAKE_CASE__     ):





	def __init__(							self      ,     *SCREAMING_SNAKE_CASE      ,     **SCREAMING_SNAKE_CASE      )  ->					None:




				"""simple docstring"""



				warnings.warn(
				    'The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
				    ' Please use PerceiverImageProcessor instead.'      ,     SCREAMING_SNAKE_CASE      ,     )
				super().__init__(*SCREAMING_SNAKE_CASE      ,     **SCREAMING_SNAKE_CASE      )
