






"""simple docstring"""
def 			lowerCamelCase_    (		_lowerCamelCase     ,  _lowerCamelCase							):
 if not root or root not in binary_tree_mirror_dictionary:
  return
 lowerCamelCase__							,	lowerCamelCase__	:     Union[str, Any]								=		binary_tree_mirror_dictionary[root][:2]
 lowerCamelCase__	:     Optional[Any]								=		[right_child, left_child]
 binary_tree_mirror_dict(_lowerCamelCase     ,  _lowerCamelCase							)
 binary_tree_mirror_dict(_lowerCamelCase     ,  _lowerCamelCase							)






def 			lowerCamelCase_    (		_lowerCamelCase     ,  _lowerCamelCase = 1							):
 if not binary_tree:
  raise ValueError('binary tree cannot be empty'							)
 if root not in binary_tree:
  lowerCamelCase__	:     Dict								=		f'''root {root} is not present in the binary_tree'''
  raise ValueError(_lowerCamelCase							)
 lowerCamelCase__	:     Optional[int]								=		dict(_lowerCamelCase							)
 binary_tree_mirror_dict(_lowerCamelCase     ,  _lowerCamelCase							)
 return binary_tree_mirror_dictionary


if __name__ == "__main__":
      A_     :					Tuple							=     {1: [2, 3], 2: [4, 5], 3: [6, 7], 7: [8, 9]}
      print(f"Binary tree: {binary_tree}")
      A_     :					List[Any]							=     binary_tree_mirror(binary_tree, 5)
      print(f"Binary tree mirror: {binary_tree_mirror_dictionary}")









"""simple docstring"""
class 						a_ :







      '''simple docstring'''

      def __init__(self,	lowerCamelCase_   ):

       '''simple docstring'''



       lowerCamelCase__	:     Dict								=		data
       lowerCamelCase__	:     BinaryTreeNode | None								=		None
       lowerCamelCase__	:     BinaryTreeNode | None								=		None






def 			lowerCamelCase_    (		_lowerCamelCase     ,  _lowerCamelCase							):
 if node is None:
  lowerCamelCase__	:     List[str]								=		BinaryTreeNode(_lowerCamelCase							)
  return node

 # binary search tree is not empty,
 # so we will insert it into the tree
 # if new_value is less than value of data in node,
 #  add it to left subtree and proceed recursively
 if new_value < node.data:
  lowerCamelCase__	:     str								=		insert(node.left_child     ,  _lowerCamelCase							)
 else:
  # if new_value is greater than value of data in node,
  #  add it to right subtree and proceed recursively
  lowerCamelCase__	:     str								=		insert(node.right_child     ,  _lowerCamelCase							)
 return node






def 			lowerCamelCase_    (		_lowerCamelCase							):  # if node is None,return
 if node:
  lowerCamelCase__	:     Any								=		inorder(node.left_child							)
  lowerCamelCase__	:     Tuple								=		[*inorder_array, node.data]
  lowerCamelCase__	:     List[Any]								=		inorder_array + inorder(node.right_child							)
 else:
  lowerCamelCase__	:     Any								=		[]
 return inorder_array






def 			lowerCamelCase_    (		):
 lowerCamelCase__	:     Tuple								=		insert(_lowerCamelCase     ,  15							)
 insert(_lowerCamelCase     ,  10							)
 insert(_lowerCamelCase     ,  25							)
 insert(_lowerCamelCase     ,  6							)
 insert(_lowerCamelCase     ,  14							)
 insert(_lowerCamelCase     ,  20							)
 insert(_lowerCamelCase     ,  60							)
 return root






def 			lowerCamelCase_    (		):
 # main function
 lowerCamelCase__	:     List[Any]								=		make_tree()
 print('Printing values of binary search tree in Inorder Traversal.'							)
 inorder(_lowerCamelCase							)


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      main()

