Problem
Given a singly linked list, return a random node's value from the linked list. Each node must have the same probability of being chosen.
Implement the Solution
class:
Solution(ListNode head)
Initializes the object with the head of the singly-linked listhead
.int getRandom()
Chooses a node randomly from the list and returns its value. All the nodes of the list should be equally likely to be chosen.
Example 1:
Input
["Solution", "getRandom", "getRandom", "getRandom", "getRandom", "getRandom"]
[[[1, 2, 3]], [], [], [], [], []]
Output
[null, 1, 3, 2, 2, 3]
Explanation
Solution solution = new Solution([1, 2, 3]);
solution.getRandom(); // return 1
solution.getRandom(); // return 3
solution.getRandom(); // return 2
solution.getRandom(); // return 2
solution.getRandom(); // return 3
// getRandom() should return either 1, 2, or 3 randomly. Each element should have equal probability of returning.
Constraints:
The number of nodes in the linked list will be in the range
[1, 10^4]
.-10^4 <= Node.val <= 10^4
At most
10^4
calls will be made togetRandom
.
Follow up:
What if the linked list is extremely large and its length is unknown to you?
Could you solve this efficiently without using extra space?
Solution
/**
* Definition for singly-linked list.
* public class ListNode {
* int val;
* ListNode next;
* ListNode() {}
* ListNode(int val) { this.val = val; }
* ListNode(int val, ListNode next) { this.val = val; this.next = next; }
* }
*/
class Solution {
private List<Integer> al;
private Random rand;
public Solution(ListNode head) {
al = new ArrayList<>();
rand = new Random();
while (head != null) {
al.add(head.val);
head = head.next;
}
}
public int getRandom() {
/*
Math.random() will generate a random number b/w 0 & 1.
then multiply it with the array size.
take only the integer part which is a random index.
return the element at that random index.
*/
int ind = rand.nextInt(al.size());
return al.get(ind);
}
}
/**
* Your Solution object will be instantiated and called as such:
* Solution obj = new Solution(head);
* int param_1 = obj.getRandom();
*/
Explain:
nope.
Complexity:
- Time complexity : O(n).
- Space complexity : O(n).