HomeLeetcode138. Copy List with Random Pointer - Leetcode Solutions

138. Copy List with Random Pointer – Leetcode Solutions

Description

A linked list of length n is given such that each node contains an additional random pointer, which could point to any node in the list, or null.

Construct a deep copy of the list. The deep copy should consist of exactly n brand new nodes, where each new node has its value set to the value of its corresponding original node. Both the next and random pointer of the new nodes should point to new nodes in the copied list such that the pointers in the original list and copied list represent the same list state. None of the pointers in the new list should point to nodes in the original list.

For example, if there are two nodes X and Y in the original list, where X.random --> Y, then for the corresponding two nodes x and y in the copied list, x.random --> y.

Return the head of the copied linked list.

The linked list is represented in the input/output as a list of n nodes. Each node is represented as a pair of [val, random_index] where:

  • val: an integer representing Node.val
  • random_index: the index of the node (range from 0 to n-1) that the random pointer points to, or null if it does not point to any node.

Your code will only be given the head of the original linked list.

Examples:

Example 1:
Input: head = [[7,null],[13,0],[11,4],[10,2],[1,0]]
Output: [[7,null],[13,0],[11,4],[10,2],[1,0]]

Example 2:
Input: head = [[1,1],[2,1]]
Output: [[1,1],[2,1]]

Example 3:
Input: head = [[3,null],[3,0],[3,null]]
Output: [[3,null],[3,0],[3,null]]

Solution in Python

To solve the problem of making a deep copy of a linked list where each node contains an additional random pointer, we can use a two-pass algorithm. Here are the detailed steps:

Approach:

  1. First Pass – Create a Copy of Each Node:
    • Traverse the original list and create a new node for each original node.
    • Insert the newly created node right after the original node. This way, the copied node follows its corresponding original node directly in the list.
  2. Second Pass – Set Up the Random Pointers:
    • Traverse the list again. For each original node, set the random pointer of the copied node to the copied version of the original node’s random pointer.
  3. Third Pass – Separate the Two Lists:
    • Finally, restore the original list and extract the copied list.
Python
# Definition for a Node.
class Node:
    def __init__(self, x: int, next: 'Node' = None, random: 'Node' = None):
        self.val = int(x)
        self.next = next
        self.random = random

class Solution:
    def copyRandomList(self, head: 'Optional[Node]') -> 'Optional[Node]':
        if not head:
            return None

        # First pass: Create a copy of each node and insert it right after the original node.
        current = head
        while current:
            new_node = Node(current.val, current.next, None)
            current.next = new_node
            current = new_node.next

        # Second pass: Assign random pointers for the copied nodes.
        current = head
        while current:
            if current.random:
                current.next.random = current.random.next
            current = current.next.next

        # Third pass: Restore the original list and extract the copied list.
        current = head
        copy_head = head.next
        while current:
            copy = current.next
            current.next = copy.next
            if copy.next:
                copy.next = copy.next.next
            current = current.next

        return copy_head

Explanation:

  1. First Pass:
    • For each node in the original list, create a new node with the same value.
    • Insert this new node immediately after the original node.
    • After this step, the list will look like: original1 -> copy1 -> original2 -> copy2 -> ...
  2. Second Pass:
    • Set the random pointer of each copied node.
    • If an original node’s random pointer is not null, set the copied node’s random pointer to the copied version of the original node’s random node.
    • This is done using current.next.random = current.random.next.
  3. Third Pass:
    • Separate the original and copied nodes to restore the original list.
    • Extract the copied nodes to form the new copied list.
    • This is done by adjusting the next pointers appropriately.

This approach ensures that we maintain linear runtime complexity O(n) and use only constant extra space (not considering the space for the output).

Solution in Javascript

JavaScript
/**
 * @param {_Node} head
 * @return {_Node}
 */
var copyRandomList = function(head) {
    if (!head) return null;

    // First pass: Create a copy of each node and insert it right after the original node
    let current = head;
    while (current) {
        let newNode = new _Node(current.val, current.next, null);
        current.next = newNode;
        current = newNode.next;
    }

    // Second pass: Assign random pointers for the copied nodes
    current = head;
    while (current) {
        if (current.random) {
            current.next.random = current.random.next;
        }
        current = current.next.next;
    }

    // Third pass: Restore the original list and extract the copied list
    current = head;
    let copyHead = head.next;
    while (current) {
        let copy = current.next;
        current.next = copy.next;
        if (copy.next) {
            copy.next = copy.next.next;
        }
        current = current.next;
    }

    return copyHead;
};

Solution in Java

Java
class Solution {
    public Node copyRandomList(Node head) {
        if (head == null) return null;

        // First pass: Create a copy of each node and insert it right after the original node
        Node current = head;
        while (current != null) {
            Node newNode = new Node(current.val);
            newNode.next = current.next;
            current.next = newNode;
            current = newNode.next;
        }

        // Second pass: Assign random pointers for the copied nodes
        current = head;
        while (current != null) {
            if (current.random != null) {
                current.next.random = current.random.next;
            }
            current = current.next.next;
        }

        // Third pass: Restore the original list and extract the copied list
        current = head;
        Node copyHead = head.next;
        while (current != null) {
            Node copy = current.next;
            current.next = copy.next;
            if (copy.next != null) {
                copy.next = copy.next.next;
            }
            current = current.next;
        }

        return copyHead;
    }
}

Solution in C#

C#
public class Solution {
    public Node CopyRandomList(Node head) {
        if (head == null) return null;

        // First pass: Create a copy of each node and insert it right after the original node
        Node current = head;
        while (current != null) {
            Node newNode = new Node(current.val);
            newNode.next = current.next;
            current.next = newNode;
            current = newNode.next;
        }

        // Second pass: Assign random pointers for the copied nodes
        current = head;
        while (current != null) {
            if (current.random != null) {
                current.next.random = current.random.next;
            }
            current = current.next.next;
        }

        // Third pass: Restore the original list and extract the copied list
        current = head;
        Node copyHead = head.next;
        while (current != null) {
            Node copy = current.next;
            current.next = copy.next;
            if (copy.next != null) {
                copy.next = copy.next.next;
            }
            current = current.next;
        }

        return copyHead;
    }
}

Subscribe
Notify of

0 Comments
Inline Feedbacks
View all comments

Popular