

'''simple docstring'''

from torch import nn




class 	A_			(    nn.Module							):






					'''simple docstring'''



					def __init__(		self			:					Union[str, Any]					,      lowercase_			:					Optional[Any]					,      lowercase_			:					List[Any]	)						->     int:
						super().__init__()
						UpperCAmelCase	:     Optional[int]						 =			class_size
						UpperCAmelCase	:     Optional[int]						 =			embed_size
						# self.mlp1 = nn.Linear(embed_size, embed_size)
						# self.mlp2 = (nn.Linear(embed_size, class_size))
						UpperCAmelCase	:     Dict						 =			nn.Linear(lowercase_					,      lowercase_	)




					def        UpperCAmelCase_	(		self			:					List[Any]					,      lowercase_			:					Any	)						->     Union[str, Any]:
						# hidden_state = nn.functional.relu(self.mlp1(hidden_state))
						# hidden_state = self.mlp2(hidden_state)
						UpperCAmelCase	:     Optional[int]						 =			self.mlp(lowercase_	)
						return logits







'''simple docstring'''

def 				UpperCamelCase(					UpperCAmelCase_  ,	UpperCAmelCase_     ):
 UpperCAmelCase	:     int						 =			len(UpperCAmelCase_     )
 UpperCAmelCase	:     int						 =			len(UpperCAmelCase_     )
 UpperCAmelCase	:     int						 =			(
     first_str_length if first_str_length > second_str_length else second_str_length
 )
 UpperCAmelCase	:     list						 =			[]
 for char_count in range(UpperCAmelCase_     ):
  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(UpperCAmelCase_     )


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




