


'''simple docstring'''




import warnings

from ...utils import logging
from .image_processing_conditional_detr import ConditionalDetrImageProcessor


__lowercase	:   Optional[Any]   		=					logging.get_logger(__name__)





class _snake_case (			a__ ):
							"""simple docstring"""





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



											"""simple docstring"""







											warnings.warn(
											    "The class ConditionalDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
											    " Please use ConditionalDetrImageProcessor instead."      ,					__A      ,					)
											super().__init__(*__A      ,					**__A						)









'''simple docstring'''




def 				a_							(    lowercase				,    lowercase     )      ->list:






				'''simple docstring'''

				__lowerCamelCase		:   int           =       len(lowercase     )
				__lowerCamelCase		:   int           =       len(lowercase     )
				__lowerCamelCase		:   int           =       (
				    first_input_list_length
				    if first_input_list_length > second_input_list_length
				    else second_input_list_length
				)
				__lowerCamelCase		:   list           =       []
				for char_count in range(lowercase     ):
								if char_count < first_input_list_length:
												output_result_list.append(first_input_list[char_count]     )
								if char_count < second_input_list_length:
												output_result_list.append(second_input_list[char_count]     )

				return output_result_list


if __name__ == "__main__":
				print(alternative_list_arrange(["""A""", """B""", """C"""], [1, 2, 3, 4, 5]), end=""" """)





