/**
* Definition for singly-linked list.
* public class ListNode {
* int val;
* ListNode next;
* ListNode(int x) { val = x; }
* }
*/
class Solution {
HashMap<Integer, ListNode> map;
Random rand;
/** @param head The linked list's head.
Note that the head is guaranteed to be not null, so it contains at least one node. */
public Solution(ListNode head) {
map = new HashMap<>();
rand = new Random();
int i = 0;
while(head != null) {
map.put(i++, head);
head = head.next;
}
}
/** Returns a random node's value. */
public int getRandom() {
int size = map.size();
int idx = rand.nextInt(size);
return map.get(idx).val;
}
}
/**
* Your Solution object will be instantiated and called as such:
* Solution obj = new Solution(head);
* int param_1 = obj.getRandom();
*/
Using reservoir sampling:
/**
* Definition for singly-linked list.
* public class ListNode {
* int val;
* ListNode next;
* ListNode(int x) { val = x; }
* }
*/
class Solution {
ListNode h;
Random rand;
/** @param head The linked list's head.
Note that the head is guaranteed to be not null, so it contains at least one node. */
public Solution(ListNode head) {
h = head;
rand = new Random();
}
/** Returns a random node's value. */
public int getRandom() {
ListNode c = h;
int r = c.val;
for (int i = 1; c.next != null; i++) {
c = c.next;
if (rand.nextInt(i + 1) == i) r = c.val;
}
return r;
}
}
/**
* Your Solution object will be instantiated and called as such:
* Solution obj = new Solution(head);
* int param_1 = obj.getRandom();
*/
Using reservoir sampling: