Given an integer array nums, design an algorithm to randomly shuffle the array. All permutations of the array should be equally likely as a result of the shuffling.
Implement the Solution class:
Solution(int[] nums)Initializes the object with the integer array nums.int[] reset()Resets the array to its original configuration and returns it.int[] shuffle()Returns a random shuffling of the array.
Example 1:
Input
["Solution", "shuffle", "reset", "shuffle"]
[[[1, 2, 3]], [], [], []]
Output
[null, [3, 1, 2], [1, 2, 3], [1, 3, 2]]
Explanation
Solution solution = new Solution([1, 2, 3]);
solution.shuffle(); // Shuffle the array [1,2,3] and return its result.
// Any permutation of [1,2,3] must be equally likely to be returned.
// Example: return [3, 1, 2]
solution.reset(); // Resets the array back to its original configuration [1,2,3]. Return [1, 2, 3]
solution.shuffle(); // Returns the random shuffling of array [1,2,3]. Example: return [1, 3, 2]
Constraints:
1 <= nums.length <= 200-106 <= nums[i] <= 106- All the elements of
numsare unique. - At most
5 * 104calls in total will be made toresetandshuffle.
代码(Rust):
use rand::{thread_rng, Rng};
struct Solution {
origin: Vec<i32>,
list: Vec<i32>,
}
/**
* `&self` means the method takes an immutable reference.
* If you need a mutable reference, change it to `&mut self` instead.
*/
impl Solution {
fn new(nums: Vec<i32>) -> Self {
Self {
origin: nums.clone(),
list: nums,
}
}
/** Resets the array to its original configuration and return it. */
fn reset(&self) -> Vec<i32> {
self.origin.clone()
}
/** Returns a random shuffling of the array. */
fn shuffle(&mut self) -> Vec<i32> {
let mut rng = thread_rng();
for i in 0..self.list.len() {
let j: usize = rng.gen_range(i, self.list.len());
let tmp = self.list[i];
self.list[i] = self.list[j];
self.list[j] = tmp;
}
self.list.clone()
}
}
本文介绍如何使用 Rust 实现一个 Solution 类,该类可以对给定的整数数组进行随机洗牌,保证每次操作返回的数组都是等可能的排列。方法包括初始化、重置原始数组和进行随机化操作。适用于需要频繁随机数组的场景,同时满足性能和公平性要求。
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