code: 
  
  import numpy as np
  
  def 			snake_case__    (					SCREAMING_SNAKE_CASE_	:					Union[str, Any]			,  SCREAMING_SNAKE_CASE_	:					Dict    ):
  
  
  
       '''simple docstring'''
  
  
  
  
  
       lowercase__					:     str   = np.array(SCREAMING_SNAKE_CASE_    )
       lowercase__					:     Union[str, Any]   = np.array(SCREAMING_SNAKE_CASE_    )
  
       lowercase__					:     Dict   = abs(predict - actual    )
       lowercase__					:     Dict   = difference.mean()
  
       return score
  
  def 			snake_case__    (					SCREAMING_SNAKE_CASE_	:					int			,  SCREAMING_SNAKE_CASE_	:					Union[str, Any]    ):
  
  
  
       '''simple docstring'''
  
  
  
  
  
       lowercase__					:     Optional[Any]   = np.array(SCREAMING_SNAKE_CASE_    )
       lowercase__					:     List[str]   = np.array(SCREAMING_SNAKE_CASE_    )
  
       lowercase__					:     Optional[int]   = predict - actual
       lowercase__					:     List[Any]   = np.square(SCREAMING_SNAKE_CASE_    )
  
       lowercase__					:     Optional[int]   = square_diff.mean()
       return score
  
  def 			snake_case__    (					SCREAMING_SNAKE_CASE_	:					Optional[int]			,  SCREAMING_SNAKE_CASE_	:					Optional[Any]    ):
  
  
  
       '''simple docstring'''
  
  
  
  
  
       lowercase__					:     str   = np.array(SCREAMING_SNAKE_CASE_    )
       lowercase__					:     int   = np.array(SCREAMING_SNAKE_CASE_    )
  
       lowercase__					:     str   = predict - actual
       lowercase__					:     Union[str, Any]   = np.square(SCREAMING_SNAKE_CASE_    )
       lowercase__					:     Dict   = square_diff.mean()
       lowercase__					:     Tuple   = np.sqrt(SCREAMING_SNAKE_CASE_    )
       return score
  
  def 			snake_case__    (					SCREAMING_SNAKE_CASE_	:					int			,  SCREAMING_SNAKE_CASE_	:					str    ):
  
  
  
       '''simple docstring'''
  
  
  
  
  
       lowercase__					:     List[Any]   = np.array(SCREAMING_SNAKE_CASE_    )
       lowercase__					:     Tuple   = np.array(SCREAMING_SNAKE_CASE_    )
  
       lowercase__					:     Optional[int]   = np.log(predict + 1    )
       lowercase__					:     List[str]   = np.log(actual + 1    )
  
       lowercase__					:     List[str]   = log_predict - log_actual
       lowercase__					:     str   = np.square(SCREAMING_SNAKE_CASE_    )
       lowercase__					:     str   = square_diff.mean()
  
       lowercase__					:     Tuple   = np.sqrt(SCREAMING_SNAKE_CASE_    )
  
       return score
  
  def 			snake_case__    (					SCREAMING_SNAKE_CASE_	:					Dict			,  SCREAMING_SNAKE_CASE_	:					Optional[Any]    ):
  
  
  
       '''simple docstring'''
  
  
  
  
  
       lowercase__					:     str   = np.array(SCREAMING_SNAKE_CASE_    )
       lowercase__					:     Optional[int]   = np.array(SCREAMING_SNAKE_CASE_    )
  
       lowercase__					:     Tuple   = predict - actual
       lowercase__					:     List[Any]   = np.sum(SCREAMING_SNAKE_CASE_    ) / len(SCREAMING_SNAKE_CASE_    )
       lowercase__					:     Optional[int]   = np.sum(SCREAMING_SNAKE_CASE_    ) / len(SCREAMING_SNAKE_CASE_    )
       # print(numerator, denumerator)
       lowercase__					:     int   = float(SCREAMING_SNAKE_CASE_    ) / denumerator * 100
  
       return score
  
  def 			snake_case__    (					SCREAMING_SNAKE_CASE_	:					Union[str, Any]			,  SCREAMING_SNAKE_CASE_	:					Optional[Any]    ):
  
  
  
       '''simple docstring'''
  
  
  
  
  
       return np.mean(np.array(SCREAMING_SNAKE_CASE_    ) == np.array(SCREAMING_SNAKE_CASE_    )    )
  
  
style_context: 
  
  from __future__ import annotations
  
  
  class    SCREAMING_SNAKE_CASE__      :
  
  
  
  
  
      def __init__(   self		,     a = 0):
           lowercase__					:     int   = value
           lowercase__					:     Node | None   = None
           lowercase__					:     Node | None   = None
  
  
  
  def 			snake_case__    (					SCREAMING_SNAKE_CASE_	:					Node | None			,  SCREAMING_SNAKE_CASE_	:					Node | None    ):
  
  
  
       '''simple docstring'''
  
  
  
  
  
       if treea is None:
            return treea
       if treea is None:
            return treea
  
       lowercase__					:     Optional[Any]   = treea.value + treea.value
       lowercase__					:     Union[str, Any]   = merge_two_binary_trees(treea.left			,  treea.left    )
       lowercase__					:     Optional[Any]   = merge_two_binary_trees(treea.right			,  treea.right    )
       return treea
  
  def 			snake_case__    (					SCREAMING_SNAKE_CASE_	:					Node | None    ):
  
  
  
       '''simple docstring'''
  
  
  
  
  
       if root:
            print(root.value    )
            print_preorder(root.left    )
            print_preorder(root.right    )
  
  
  if __name__ == "__main__":
         snake_case_    						=				Node(1)
         snake_case_    						=				Node(2)
         snake_case_    						=				Node(3)
         snake_case_    						=				Node(4)
  
         snake_case_    						=				Node(2)
         snake_case_    						=				Node(4)
         snake_case_    						=				Node(6)
         snake_case_    						=				Node(9)
         snake_case_    						=				Node(5)
  
         print('''Tree1 is: ''')
         print_preorder(treea)
         print('''Tree2 is: ''')
         print_preorder(treea)
         snake_case_    						=				merge_two_binary_trees(treea, treea)
         print('''Merged Tree is: ''')
         print_preorder(merged_tree)
  
  