Lecture Notes on 02 Nov 2022 class Node (object): def __init__ (self, data): self.data = data self.lchild = None self.rchild = None # self.parent = None # self.visited = False def __str__ (self): s = '' return s class Tree (object): def __init__ (self): self.root = None # self.size = 0 # insert data into the tree def insert_node (self, data): new_node = Node (data) if (self.root == None): self.root = new_node return else: current = self.root parent = self.root while (current != None): parent = current if (data < current.data): current = current.lchild else: current = current.rchild if (data < parent.data): parent.lchild = new_node else: parent.rchild = new_node # search for a node with given data def search_node (self, data): current = self.root while (current != None) and (current.data != data): if (data < current.data): current = current.lchild else: current = current.rchild return current # inorder traversal - left, center, right def in_order (self, aNode): if (aNode != None): self.in_order (aNode.lchild) print (aNode.data) self.in_order (aNode.rchild) # preorder traversal - center, left, right def pre_order (self, aNode): if (aNode != None): print (aNode.data) self.pre_order (aNode.lchild) self.pre_order (aNode.rchild) # postorder traversal - left, right, center def post_order (self, aNode): if (aNode != None): self.post_order (aNode.lchild) self.post_order (aNode.rchild) print (aNode.data) # Find the node with the smallest value def min_node (self): current = self.root parent = self.root while (current != None): parent = current current = current.lchild return parent # Find the node with the largest value def max_node (self): current = self.root parent = current while (current != None): parent = current current = current.rchild return parent # delete a node with a given key def delete_node (self, data): delete_node = self.root parent = self.root is_left = False # if empty tree if (delete_node == None): return None # find the node containing the data while (delete_node != None) and (delete_node.data != data): parent = delete_node if (data < delete_node.data): delete_node = delete_node.lchild is_left = True else: delete_node = delete_node.rchild is_left = False # if node not found if (delete_node == None): return None # check if the delete node is a leaf node if (delete_node.lchild == None) and (delete_node.rchild == None): if (delete_node == self.root): self.root = None elif (is_left): parent.lchild = None else: parent.rchild = None # check if the delete node is a node with only a left child elif (delete_node.rchild == None): if (delete_node == self.root): self.root = delete_node.lchild elif (is_left): parent.lchild = delete_node.lchild else: parent.rchild = delete_node.lchild # Delete node is a node with only right child elif (delete_node.lchild == None): if (delete_node == self.root): self.root = delete_node.rchild elif (is_left): parent.lchild = delete_node.rchild else: parent.rchild = delete_node.rchild # Delete node is a node with both left and right child else: # Find delete node's successor and successor's parent nodes successor = delete_node.rchild successor_parent = delete_node while (successor.lchild != None): successor_parent = successor successor = successor.lchild # Successor node right child of delete node if (delete_node == self.root): self.root = successor elif (is_left): parent.lchild = successor else: parent.rchild = successor # Connect delete node's left child to be successor's left child successor.lchild = delete_node.lchild # Successor node left descendant of delete node if (successor != delete_node.rchild): successor_parent.lchild = successor.rchild successor.rchild = delete_node.rchild return delete_node