给定一个可能含有重复元素的整数数组,要求随机输出给定的数字的索引。 您可以假设给定的数字一定存在于数组中。
注意:
数组大小可能非常大。 使用太多额外空间的解决方案将不会通过测试。
示例:
int[] nums = new int[] {1,2,3,3,3};
Solution solution = new Solution(nums);
// pick(3) 应该返回索引 2,3 或者 4。每个索引的返回概率应该相等。
solution.pick(3);
// pick(1) 应该返回 0。因为只有nums[0]等于1。
solution.pick(1);
class Solution {
Map<Integer, List<Integer>> map = new HashMap<>();
Random random = new Random();
public Solution(int[] nums) {
int n = nums.length;
for (int i = 0; i < n; ++i) {
List<Integer> list = map.getOrDefault(nums[i], new ArrayList<>());
list.add(i);
map.put(nums[i], list);
}
}
public int pick(int target) {
List<Integer> list = map.get(target);
return list.get(random.nextInt(list.size()));
}
}
/**
* Your Solution object will be instantiated and called as such:
* Solution obj = new Solution(nums);
* int param_1 = obj.pick(target);
*/
蓄水池抽样
class Solution {
//蓄水池抽样
int[] nums;
Random random = new Random();
public Solution(int[] nums) {
this.nums = nums;
}
public int pick(int target) {
int n = nums.length;
int res = 0;
for (int i = 0, cnt = 0; i < n; ++i) {
if (nums[i] == target) {
cnt ++;
if (random.nextInt(cnt) == 0) res = i;
}
}
return res;
}
}
/**
* Your Solution object will be instantiated and called as such:
* Solution obj = new Solution(nums);
* int param_1 = obj.pick(target);
*/