Path Sum Root to Leaf in Binary Tree in DSA Javascript - Cheat Sheet & Quick Revision

Recall & Review

beginner

What does the 'Path Sum Root to Leaf' problem ask you to find in a binary tree?

It asks whether there is a path from the root node to any leaf node such that the sum of the node values along that path equals a given target sum.

beginner

In the context of 'Path Sum Root to Leaf', what is a leaf node?

A leaf node is a node in a binary tree that has no children (no left or right child).

intermediate

Why do we subtract the current node's value from the target sum when moving down the tree?

Because we want to check if the remaining sum needed to reach the target can be found in the subtree below the current node.

intermediate

What is the base case for the recursive solution to the Path Sum problem?

When the current node is null, return false. When the current node is a leaf, check if its value equals the remaining sum.

beginner

How does the algorithm decide to return true or false?

It returns true if any path from root to leaf sums to the target; otherwise, it returns false after checking all paths.

What is the first step in checking for a path sum in a binary tree?

A Return true immediately

B Add the current node's value to the sum

C Check if the current node is null

D Check if the current node has children

We first check if the current node is null to handle the base case and avoid errors.

When do we check if the current node's value equals the remaining sum?

A After visiting all nodes

B When the node has children

C At the root node only

D When the node is a leaf node

We check this at leaf nodes because only root-to-leaf paths count.

If the target sum is 22 and the root node value is 5, what sum do we look for in the subtrees?

A 17

B 27

C 22

D 5

We subtract the root value (5) from the target sum (22) to get 17 for the subtrees.

What does it mean if the function returns true at any point?

A A valid path sum has been found

B No path sum exists

C The tree is empty

D The target sum is zero

Returning true means a root-to-leaf path with the target sum exists.

Which traversal method is commonly used to solve the Path Sum problem?

A Breadth-first search (BFS)

B Depth-first search (DFS)

C Level order traversal

D Inorder traversal only

DFS is used to explore each path from root to leaf.

Explain how you would check if a binary tree has a root-to-leaf path with a given sum.

Think about how to reduce the problem as you go down the tree.

Describe the base cases needed in a recursive solution for the Path Sum problem.

Consider what happens when you reach the end of a path.

Practice

1. What does the "Path Sum Root to Leaf" problem ask you to find in a binary tree?

easy

A. If there exists a root-to-leaf path with a sum equal to a given target

B. The maximum depth of the binary tree

C. The total number of nodes in the binary tree

D. The sum of all node values in the binary tree

Solution

1. Step 1: Understand the problem statement

   The problem asks if there is any path from the root node down to any leaf node where the sum of the node values equals a given target sum.

2. Step 2: Differentiate from other tree properties

   This is different from finding depth, counting nodes, or summing all nodes. It specifically checks for a path sum from root to leaf.

3. Final Answer:

   If there exists a root-to-leaf path with a sum equal to a given target -> Option A

4. Quick Check:

   Path sum problem = Check root-to-leaf sum [OK]

Hint: Focus on root-to-leaf paths, not entire tree sums [OK]

Common Mistakes:

• Confusing path sum with total tree sum
• Checking any path, not root-to-leaf
• Ignoring leaf node condition

2. Which of the following is the correct base case check in JavaScript for a null node in a recursive path sum function?

easy

A. if (node === null) return true;

B. if (node == undefined) return true;

C. if (node === undefined) return null;

D. if (node === null) return false;

Solution

1. Step 1: Identify base case for recursion

   When the current node is null, it means no path exists here, so return false to indicate failure to find the path.

2. Step 2: Check JavaScript strict equality and return value

   Using 'node === null' is correct to check null nodes, and returning false means no valid path found.

3. Final Answer:

   if (node === null) return false; -> Option D

4. Quick Check:

   Null node means no path = false [OK]

Hint: Return false on null node to stop recursion [OK]

Common Mistakes:

• Returning true on null node
• Using == instead of ===
• Returning null instead of boolean

3. What will be the output of the following code snippet?

class TreeNode {
  constructor(val, left = null, right = null) {
    this.val = val;
    this.left = left;
    this.right = right;
  }
}

function hasPathSum(node, sum) {
  if (node === null) return false;
  if (!node.left && !node.right) return sum === node.val;
  return hasPathSum(node.left, sum - node.val) || hasPathSum(node.right, sum - node.val);
}

const root = new TreeNode(5, new TreeNode(4, new TreeNode(11, new TreeNode(7), new TreeNode(2))), new TreeNode(8, null, new TreeNode(4, null, new TreeNode(1))));
console.log(hasPathSum(root, 22));

medium

A. true

B. false

C. undefined

D. TypeError

Solution

1. Step 1: Trace the path sums in the tree

   Check if any root-to-leaf path sums to 22. The path 5->4->11->2 sums to 22 (5+4+11+2=22).

2. Step 2: Evaluate the recursive calls

   The function returns true because the path exists, so console.log prints true.

3. Final Answer:

   true -> Option A

4. Quick Check:

   Path 5-4-11-2 sum=22 = true [OK]

Hint: Check leaf paths sums carefully to confirm true [OK]

Common Mistakes:

• Ignoring leaf node condition
• Miscomputing sum along path
• Assuming false when path exists

4. Find the bug in this JavaScript function for path sum and select the fix:

function hasPathSum(node, sum) {
  if (node === null) return false;
  if (!node.left && !node.right) return sum = node.val;
  return hasPathSum(node.left, sum - node.val) || hasPathSum(node.right, sum - node.val);
}

medium

A. Change 'node === null' to 'node == null' in base case

B. Remove the leaf node check entirely

C. Change 'sum = node.val' to 'sum === node.val' in the leaf check

D. Change '||' to '&&' in the return statement

Solution

1. Step 1: Identify incorrect assignment in leaf check

   The line 'return sum = node.val;' uses assignment '=' instead of comparison '===' which causes wrong behavior.

2. Step 2: Correct the comparison operator

   Replace '=' with '===' to properly check if sum equals node.val at leaf nodes.

3. Final Answer:

   Change 'sum = node.val' to 'sum === node.val' in the leaf check -> Option C

4. Quick Check:

   Use '===' for comparison, not '=' [OK]

Hint: Use '===' for equality checks, not '=' assignment [OK]

Common Mistakes:

• Using '=' instead of '===' in conditions
• Removing necessary base cases
• Changing logical operators incorrectly

5. Given a binary tree where node values can be negative, which modification is necessary to correctly check for a path sum equal to target?

function hasPathSum(node, sum) {
  if (node === null) return false;
  if (!node.left && !node.right) return sum === node.val;
  return hasPathSum(node.left, sum - node.val) || hasPathSum(node.right, sum - node.val);
}

hard

A. Use absolute values of node.val and sum in comparisons

B. No change needed; current code works with negative values

C. Change base case to return true if sum <= node.val

D. Add a visited set to avoid infinite loops with negative values

Solution

1. Step 1: Understand negative values impact

   The current recursive approach subtracts node values from sum and checks leaf equality, which works even if values are negative.

2. Step 2: Confirm no cycles in binary tree

   Binary trees have no cycles, so no infinite loops occur; no visited set needed.

3. Final Answer:

   No change needed; current code works with negative values -> Option B

4. Quick Check:

   Negative values handled by subtraction correctly [OK]

Hint: Binary trees have no cycles; negative values handled naturally [OK]

Common Mistakes:

• Adding unnecessary visited sets
• Changing base case incorrectly
• Using absolute values which breaks logic