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A Binary Search Tree (BST) is a node-based data structure where each node has at most two children, and the left child contains values less than the parent while the right child contains values greater than the parent. This property allows efficient search, insertion, and deletion operations.
Example Implementation:
class Node:def __init__(self, key):self.key = keyself.left = Noneself.right = Noneclass BST:def __init__(self):self.root = Nonedef insert(self, root, key):if root is None:return Node(key)if key < root.key:root.left = self.insert(root.left, key)elif key > root.key:root.right = self.insert(root.right, key)return rootdef search(self, root, key):if root is None or root.key == key:return rootif key < root.key:return self.search(root.left, key)return self.search(root.right, key)def inorder(self, root):if root:self.inorder(root.left)print(root.key, end=" ")self.inorder(root.right)# Usagetree = BST()root = Nonefor val in [15, 10, 20, 8, 12, 17, 25]:root = tree.insert(root, val)print("Inorder Traversal:", end=" ")tree.inorder(root) # Output: 8 10 12 15 17 20 25print("\nSearch for 12:", "Found" if tree.search(root, 12) else "Not Found")コピーしました。✕コピー Python Binary Search Trees - W3Schools
Another way to check if a Binary Tree is BST, is to do an in-order traversal (like we did on the previous page) and check if the resulting list of values are in an increasing order. The code below is an …
Print A Binary Search Tree In Python
- Here is the complete code: When you run this code, it will create a binary tree and print the tree using in-order, pre-order, and post-order traversals.
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Begin by defining an empty TreeNode class. The TreeNode class represents a node in a binary search tree. Use the pass keyword to fill the class body and avoid an …
Binary Search Tree Traversal Code Python について掘り下げる