illustrate how to implement inorder traversal in binary search tree gurneet singh https www geeksforgeeks orgtreetraversalsinorderpreorderandpostorder defining the structure of binarytreenode def initself data int none self data data self leftchild binarytreenode none none self rightchild binarytreenode none none def insertnode binarytreenode none newvalue int binarytreenode none if node is none node binarytreenodenewvalue return node binary search tree is not empty so we will insert it into the tree if newvalue is less than value of data in node add it to left subtree and proceed recursively if newvalue node data node leftchild insertnode leftchild newvalue else if newvalue is greater than value of data in node add it to right subtree and proceed recursively node rightchild insertnode rightchild newvalue return node def inordernode none binarytreenode listint if node is none return if node inorderarray inordernode leftchild inorderarray inorderarray node data inorderarray inorderarray inordernode rightchild else inorderarray return inorderarray def maketree binarytreenode none root insertnone 15 insertroot 10 insertroot 25 insertroot 6 insertroot 14 insertroot 20 insertroot 60 return root def main none main function root maketree printprinting values of binary search tree in inorder traversal inorderroot if name main import doctest doctest testmod main defining the structure of binarytreenode if the binary search tree is empty make a new node and declare it as root node_a binarytreenode 12345 node_b insert node_a 67890 node_a left_child node_b left_child true node_a right_child node_b right_child true node_a data node_b data true 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 is greater than value of data in node add it to right subtree and proceed recursively if node is none return inorder make_tree 6 10 14 15 20 25 60 main function
class BinaryTreeNode:
    

    def __init__(self, data: int) -> None:
        self.data = data
        self.left_child: BinaryTreeNode | None = None
        self.right_child: BinaryTreeNode | None = None


def insert(node: BinaryTreeNode | None, new_value: int) -> BinaryTreeNode | None:
    
    if node is None:
        node = BinaryTreeNode(new_value)
        return node

    
    
    
    
    if new_value < node.data:
        node.left_child = insert(node.left_child, new_value)
    else:
        
        
        node.right_child = insert(node.right_child, new_value)
    return node


def inorder(node: None | BinaryTreeNode) -> list[int]:  
    
    if node:
        inorder_array = inorder(node.left_child)
        inorder_array = [*inorder_array, node.data]
        inorder_array = inorder_array + inorder(node.right_child)
    else:
        inorder_array = []
    return inorder_array


def make_tree() -> BinaryTreeNode | None:
    root = insert(None, 15)
    insert(root, 10)
    insert(root, 25)
    insert(root, 6)
    insert(root, 14)
    insert(root, 20)
    insert(root, 60)
    return root


def main() -> None:
    
    root = make_tree()
    print("Printing values of binary search tree in Inorder Traversal.")
    inorder(root)


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    main()