elsethis node has one child if current_node has_left_child()if current_node is_left_child()current_node left_child parent current_node parent current_node parent left_child current_node left_child elif current_node is_right_child()current_node left_child parent current_node parent current_node parent right_child current_node left_child elsecurrent_node replace_node_data(current_node left_child keycurrent_node left_child payloadcurrent_node left_child left_childcurrent_node left_child right_childelseif current_node is_left_child()current_node right_child parent current_node parent current_node parent left_child current_node right_child elif current_node is_right_child()current_node right_child parent current_node parent current_node parent right_child current_node right_child elsecurrent_node replace_node_data(current_node right_child keycurrent_node right_child payloadcurrent_node right_child left_childcurrent_node right_child right_childmy_tree binarysearchtree(my_tree[ "redmy_tree[ "bluemy_tree[ "yellowmy_tree[ "atprint(my_tree[ ]print(my_tree[ ]search tree analysis with the implementation of binary search tree now completewe will do quick analysis of the methods we have implemented let' first look at the put method the limiting factor on its performance is the height of the binary tree recall from the vocabulary section that the height of tree is the number of edges between the root and the deepest leaf node the height is the limiting factor because when we are searching for the appropriate place to insert node into the treewe will need to do at most one comparison at each level of the tree what is the height of binary tree likely to bethe answer to this question depends on how trees and tree algorithms