// Init an array with set 1, 2, and 3.
int[] nums = {1,2,3};
Solution solution = new Solution(nums);
// Shuffle the array [1,2,3] and return its result. Any permutation of [1,2,3] must equally likely to be returned.
solution.shuffle();
// Resets the array back to its original configuration [1,2,3].
solution.reset();
// Returns the random shuffling of array [1,2,3].
solution.shuffle();
Note
Fisher-Yates Algorithm
每个元素每次和后面的随机一个位置进行交换
On each iteration of the algorithm, we generate a random integer between the current index and the last index of the array
private int randRange(int min, int max) {
return rand.nextInt(max - min) + min;
}
Then, we swap the elements at the current index and the chosen index - this simulates drawing (and removing) the element from the hat, as the next range from which we select a random index will not include the most recently processed one.
Code
class Solution {
private int[] array;
private int[] original;
Random rand = new Random();
private int randRange(int min, int max) {
return rand.nextInt(max - min) + min;
}
private void swapAt(int i, int j) {
int temp = array[i];
array[i] = array[j];
array[j] = temp;
}
public Solution(int[] nums) {
array = nums;
original = nums.clone();
}
public int[] reset() {
array = original;
original = original.clone();
return original;
}
public int[] shuffle() {
for (int i = 0; i < array.length; i++) {
swapAt(i, randRange(i, array.length));
}
return array;
}
}
/**
* Your Solution object will be instantiated and called as such:
* Solution obj = new Solution(nums);
* int[] param_1 = obj.reset();
* int[] param_2 = obj.shuffle();
*/