BST Inorder Successor in DSA Python - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the inorder successor of a node in a Binary Search Tree (BST)?

The inorder successor of a node in a BST is the node with the smallest key greater than the given node's key. It is the next node visited in an inorder traversal.

beginner

How do you find the inorder successor if the node has a right child?

If the node has a right child, the inorder successor is the leftmost node in the right subtree.

intermediate

How do you find the inorder successor if the node has no right child?

If the node has no right child, move up the tree using parent pointers until you find a node that is the left child of its parent. That parent is the inorder successor.

beginner

What is the inorder successor of the maximum node in a BST?

The maximum node in a BST has no inorder successor because there is no node with a greater key.

beginner

Why is inorder traversal important for finding the inorder successor in a BST?

Inorder traversal visits nodes in ascending order of their keys. The inorder successor is the next node visited after the given node in this order.

If a node has a right child, where is its inorder successor located?

A Rightmost node in the left subtree

B Parent node

C Leftmost node in the right subtree

D Root node

The inorder successor is the smallest node greater than the current node, which is the leftmost node in its right subtree.

If a node has no right child, how do you find its inorder successor?

A Go down to the leftmost node

B Go up until you find a node that is a left child of its parent

C It has no inorder successor

D Go to the root node

Without a right child, the inorder successor is found by moving up the tree until a node is found that is the left child of its parent.

What is the inorder successor of the maximum node in a BST?

A The minimum node

B The root node

C The parent node

D No inorder successor

The maximum node has no inorder successor because no node has a greater key.

Which traversal order visits nodes in ascending order in a BST?

A Inorder

B Postorder

C Preorder

D Level order

Inorder traversal visits nodes in ascending order of their keys in a BST.

What is the first step to find the inorder successor of a node with a right child?

A Find the leftmost node in the right subtree

B Find the right child

C Find the parent node

D Find the left child

The inorder successor is the leftmost node in the right subtree of the given node.

Explain how to find the inorder successor of a node in a BST when the node has a right child.

Think about the smallest node greater than the current node.

Describe the process to find the inorder successor of a node in a BST when the node has no right child.

Consider moving up the tree to find a bigger key.

Practice

1. What is the inorder successor of a node in a Binary Search Tree (BST)?

easy

A. The left child of the given node

B. The node with the largest key smaller than the given node's key

C. The node with the smallest key greater than the given node's key

D. The root node of the BST

Solution

1. Step 1: Understand inorder traversal order

   Inorder traversal visits nodes in ascending order of their keys in a BST.

2. Step 2: Define inorder successor

   The inorder successor of a node is the next node visited after it in inorder traversal, which is the smallest node greater than the given node.

3. Final Answer:

   The node with the smallest key greater than the given node's key -> Option C

4. Quick Check:

   Inorder successor = next larger node [OK]

Hint: Inorder successor is next bigger node in sorted order [OK]

Common Mistakes:

• Confusing successor with predecessor
• Thinking successor is always right child
• Assuming successor is parent node

2. Which of the following Python function signatures correctly represents a function to find the inorder successor in a BST node class?

easy

A. def inorder_successor(self, p: 'Node') -> 'Node':

B. def inorder_successor(self, root: 'Node', p: 'Node') -> 'Node':

C. def inorder_successor(root, p):

D. def inorder_successor(p: 'Node') -> 'Node':

Solution

1. Step 1: Identify parameters needed

   To find inorder successor, we need the BST root and the target node p.

2. Step 2: Check function signature correctness

   def inorder_successor(self, root: 'Node', p: 'Node') -> 'Node': includes self (method), root, and p with type hints, matching common BST method style.

3. Final Answer:

   def inorder_successor(self, root: 'Node', p: 'Node') -> 'Node': -> Option B

4. Quick Check:

   Correct parameters and type hints [OK]

Hint: Include root and target node as parameters with type hints [OK]

Common Mistakes:

• Missing root parameter
• Omitting type hints in modern Python
• Wrong parameter order or missing self

3. Given the BST below and the node with value 15, what is the inorder successor?

       20
      /  \
    10    30
      \     \
      15    40

medium

A. 10

B. 40

C. 30

D. 20

Solution

1. Step 1: Locate node 15 and find its right subtree

   Node 15 has no right child, so successor is one of its ancestors.

2. Step 2: Find the lowest ancestor whose left child is also ancestor of 15

   Node 20 is the parent of 15's ancestor and 15 is in left subtree of 20, so successor is 20.

3. Final Answer:

   20 -> Option D

4. Quick Check:

   Next bigger after 15 is 20 [OK]

Hint: If no right child, go up to first left ancestor [OK]

Common Mistakes:

• Choosing right child when none exists
• Picking 30 or 40 which are too large
• Confusing predecessor with successor

4. The following code attempts to find the inorder successor of a node in a BST but returns None incorrectly. What is the bug?

def inorder_successor(root, p):
    if p.right:
        curr = p.right
        while curr.left:
            curr = curr.left
        return curr
    else:
        curr = root
        successor = None
        while curr:
            if p.val < curr.val:
                successor = curr
                curr = curr.left
            else:
                curr = curr.right
        return None

medium

A. The function returns None instead of successor at the end

B. The while loop condition is incorrect

C. The function does not check if p has a right child

D. The variable successor is never updated

Solution

1. Step 1: Analyze return statements

   When p has no right child, function finds successor but returns None instead of successor.

2. Step 2: Identify missing return of successor

   At the end of else block, it should return successor, not None.

3. Final Answer:

   The function returns None instead of successor at the end -> Option A

4. Quick Check:

   Return successor, not None [OK]

Hint: Return successor variable after loop, not None [OK]

Common Mistakes:

• Returning None instead of found successor
• Not updating successor inside loop
• Ignoring right subtree case

5. You have a BST where each node has a parent pointer. How can you find the inorder successor of a node efficiently using the parent pointer?

hard

A. If node has right child, successor is leftmost node in right subtree; else go up until node is left child of its parent

B. If node has left child, successor is rightmost node in left subtree; else go up until node is right child of its parent

C. Successor is always the parent node

D. Successor is the left child of the node's parent

Solution

1. Step 1: Check if node has right child

   If yes, successor is the leftmost node in right subtree.

2. Step 2: If no right child, move up using parent pointer

   Go up until current node is left child of its parent; that parent is successor.

3. Final Answer:

   If node has right child, successor is leftmost node in right subtree; else go up until node is left child of its parent -> Option A

4. Quick Check:

   Use right subtree or climb parents [OK]

Hint: Use right subtree or climb parents until left child [OK]

Common Mistakes:

• Confusing left and right child cases
• Assuming successor is always parent
• Not using parent pointer to climb up