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.
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?
Example:
12345678
// Init a singly linked list [1,2,3].
ListNode head = new ListNode(1);
head.next = new ListNode(2);
head.next.next = new ListNode(3);
Solution solution = new Solution(head);
// getRandom() should return either 1, 2, or 3 randomly. Each element should have equal probability of returning.
solution.getRandom();
/** * Definition for singly-linked list. * public class ListNode { * int val; * ListNode next; * ListNode(int x) { val = x; } * } */publicclassSolution{/** @param head The linked list's head. Note that the head is guaranteed to be not null, so it contains at least one node. */ListNodehead=null;RandomrandomGenerator=null;publicSolution(ListNodehead){this.head=head;this.randomGenerator=newRandom();}/** Returns a random node's value. */publicintgetRandom(){intret=0;ListNodecur=this.head;for(inti=1;cur!=null;i++){if(randomGenerator.nextInt(i)==0)ret=cur.val;cur=cur.next;}returnret;}}/** * Your Solution object will be instantiated and called as such: * Solution obj = new Solution(head); * int param_1 = obj.getRandom(); */
Python
我们以第2个数为例(就是head.next.val)
在从[0,n]遍历一边的过程中被选取的概率为(1/2)* (2/3)*(3/4)* ……….. (n-1) / n = 1/n (选取第2个数在长度为2的时候为1/2,其他的都不要选)
# Definition for singly-linked list.# class ListNode(object):# def __init__(self, x):# self.val = x# self.next = NoneclassSolution(object):def__init__(self,head):""" @param head The linked list's head. Note that the head is guaranteed to be not null, so it contains at least one node. :type head: ListNode """self.head=headdefgetRandom(self):""" Returns a random node's value. :rtype: int """i=0ans=0head=self.headwhilehead:# randint 是在[0,i]中生成随机数# roll到0才算数ifrandom.randint(0,i)==0:ans=head.val# head 一直在前进head=head.nexti=i+returnans# Your Solution object will be instantiated and called as such:# obj = Solution(head)# param_1 = obj.getRandom()