import warnings

from ...utils import logging
from .image_processing_dpt import DPTImageProcessor


lowercase									=				logging.get_logger(__name__)





class 	__lowercase    (			A       ):




				'''simple docstring'''


				def __init__(		self    :		Tuple      ,							*_a    :		List[Any]      ,							**_a    :		Tuple				):
								warnings.warn(
								    '''The class DPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
								    ''' use DPTImageProcessor instead.'''      ,							A__      ,							)
								super().__init__(*A__      ,							**A__				)






def 		UpperCamelCase   (lowercase_:					list   )	-> list:
	A__				:       Union[str, Any]	  =						False
	while is_sorted is False:  # Until all the indices are traversed keep looping
		A__				:       Dict	  =						True
		for i in range(0       , len(lowercase_   ) - 1       , 2   ):  # iterating over all even indices
			if input_list[i] > input_list[i + 1]:
				A__  ,  A__				:       Dict	  =						input_list[i + 1], input_list[i]
				# swapping if elements not in order
				A__				:       Optional[Any]	  =						False

		for i in range(1       , len(lowercase_   ) - 1       , 2   ):  # iterating over all odd indices
			if input_list[i] > input_list[i + 1]:
				A__  ,  A__				:       Dict	  =						input_list[i + 1], input_list[i]
				# swapping if elements not in order
				A__				:       Optional[Any]	  =						False
	return input_list


if __name__ == "__main__":
	print('Enter list to be sorted')
	A_			:					Optional[int]    			=     [int(x) for x in input().split()]
	# inputing elements of the list in one line
	A_			:					Optional[int]    			=     odd_even_sort(input_list)
	print('The sorted list is')
	print(sorted_list)



