






def 		SCREAMING_SNAKE_CASE							( __lowerCAmelCase ,   __lowerCAmelCase      )			->     str:
     UpperCamelCase__      :       List[str]	    =  len(a__      )
     UpperCamelCase__      :       str	    =  len(a__      )
     UpperCamelCase__      :       Tuple	    =  (
         first_str_length if first_str_length > second_str_length else second_str_length
     )
     UpperCamelCase__      :       Optional[Any]	    =  []
     for char_count in range(a__      ):
          if char_count < first_str_length:
               output_list.append(first_str[char_count]      )
          if char_count < second_str_length:
               output_list.append(second_str[char_count]      )
     return "".join(a__      )


if __name__ == "__main__":
 print(alternative_string_arrange('''AB''', '''XYZ'''), end=''' ''')







from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase     :							Dict    =logging.get_logger(__name__)





class       __a  (   A__	):
 _lowerCAmelCase	:	Optional[int]				=			'''timm_backbone'''







 def __init__(		self :       Dict							,       SCREAMING_SNAKE_CASE :       Dict=None							,       SCREAMING_SNAKE_CASE :       List[Any]=3							,       SCREAMING_SNAKE_CASE :       List[Any]=True							,       SCREAMING_SNAKE_CASE :       Dict=True							,       SCREAMING_SNAKE_CASE :       Union[str, Any]=None							,       **SCREAMING_SNAKE_CASE :       int							,       ):


      '''simple docstring'''






      super().__init__(**SCREAMING_SNAKE_CASE						)
      UpperCamelCase__      :       Union[str, Any]	    =  backbone
      UpperCamelCase__      :       Dict	    =  num_channels
      UpperCamelCase__      :       str	    =  features_only
      UpperCamelCase__      :       Dict	    =  use_pretrained_backbone
      UpperCamelCase__      :       Tuple	    =  True
      UpperCamelCase__      :       List[Any]	    =  out_indices if out_indices is not None else (-1,)