数据结构与算法之数组: LeetCode 384. 打乱数组 (Ts版)
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打乱数组
描述
- 给你一个整数数组 nums ,设计算法来打乱一个没有重复元素的数组
- 打乱后,数组的所有排列应该是 等可能 的
- 实现 Solution class:
Solution(int[] nums)使用整数数组 nums 初始化对象int[] reset()重设数组到它的初始状态并返回int[] shuffle()返回数组随机打乱后的结果
示例 1
输入
["Solution", "shuffle", "reset", "shuffle"]
[[[1, 2, 3]], [], [], []]
输出
[null, [3, 1, 2], [1, 2, 3], [1, 3, 2]]
解释
Solution solution = new Solution([1, 2, 3]);
solution.shuffle(); // 打乱数组 [1,2,3] 并返回结果。任何 [1,2,3]的排列返回的概率应该相同。例如,返回 [3, 1, 2]
solution.reset(); // 重设数组到它的初始状态 [1, 2, 3] 。返回 [1, 2, 3]
solution.shuffle(); // 随机返回数组 [1, 2, 3] 打乱后的结果。例如,返回 [1, 3, 2]
提示
- 1 <= nums.length <= 50
- - 1 0 6 10^6 106 <= nums[i] <= 1 0 6 10^6 106
- nums 中的所有元素都是 唯一的
- 最多可以调用 104 次 reset 和 shuffle
Typescript 版算法实现
1 ) 方案1:暴力
class Solution {
private nums: number[];
private original: number[];
constructor(nums: number[]) {
this.nums = [...nums];
this.original = [...nums];
}
reset(): number[] {
this.nums = [...this.original];
return this.nums;
}
shuffle(): number[] {
const shuffled = [...this.nums]; // 创建一个副本避免直接修改原数组
for (let i = shuffled.length - 1; i > 0; i--) {
const j = Math.floor(Math.random() * (i + 1));
[shuffled[i], shuffled[j]] = [shuffled[j], shuffled[i]]; // Fisher-Yates 洗牌算法
}
this.nums = shuffled;
return this.nums;
}
}
/**
* Your Solution object will be instantiated and called as such:
* var obj = new Solution(nums)
* var param_1 = obj.reset()
* var param_2 = obj.shuffle()
*/
2 ) 方案2:Fisher-Yates 洗牌算法
class Solution {
private nums: number[];
private original: number[];
constructor(nums: number[]) {
this.nums = [...nums];
this.original = [...nums];
}
reset(): number[] {
this.nums = [...this.original];
return this.nums;
}
shuffle(): number[] {
const shuffled = [...this.nums]; // 创建一个副本避免直接修改原数组
for (let i = 0; i < shuffled.length; ++i) {
const j = Math.floor(Math.random() * (shuffled.length - i)) + i;
[shuffled[i], shuffled[j]] = [shuffled[j], shuffled[i]]; // 解构赋值交换元素
}
this.nums = shuffled;
return this.nums;
}
}
/**
* Your Solution object will be instantiated and called as such:
* var obj = new Solution(nums)
* var param_1 = obj.reset()
* var param_2 = obj.shuffle()
*/
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