## 题目地址 https://leetcode.com/problems/rle-iterator/description/ ## 题目描述 ``` Write an iterator that iterates through a run-length encoded sequence. The iterator is initialized by RLEIterator(int[] A), where A is a run-length encoding of some sequence. More specifically, for all even i, A[i] tells us the number of times that the non-negative integer value A[i+1] is repeated in the sequence. The iterator supports one function: next(int n), which exhausts the next n elements (n >= 1) and returns the last element exhausted in this way. If there is no element left to exhaust, next returns -1 instead. For example, we start with A = [3,8,0,9,2,5], which is a run-length encoding of the sequence [8,8,8,5,5]. This is because the sequence can be read as "three eights, zero nines, two fives". Example 1: Input: ["RLEIterator","next","next","next","next"], [[[3,8,0,9,2,5]],[2],[1],[1],[2]] Output: [null,8,8,5,-1] Explanation: RLEIterator is initialized with RLEIterator([3,8,0,9,2,5]). This maps to the sequence [8,8,8,5,5]. RLEIterator.next is then called 4 times: .next(2) exhausts 2 terms of the sequence, returning 8. The remaining sequence is now [8, 5, 5]. .next(1) exhausts 1 term of the sequence, returning 8. The remaining sequence is now [5, 5]. .next(1) exhausts 1 term of the sequence, returning 5. The remaining sequence is now [5]. .next(2) exhausts 2 terms, returning -1. This is because the first term exhausted was 5, but the second term did not exist. Since the last term exhausted does not exist, we return -1. Note: 0 <= A.length <= 1000 A.length is an even integer. 0 <= A[i] <= 10^9 There are at most 1000 calls to RLEIterator.next(int n) per test case. Each call to RLEIterator.next(int n) will have 1 <= n <= 10^9. ``` ## 思路 这是一个游程编码的典型题目。 该算法分为两个部分,一个是初始化,一个是调用`next(n)`. 我们需要做的就是初始化的时候,记住这个A。 然后每次调用`next(n)`的时候只需要 判断n是否大于A[i](i从0开始) - 如果大于A[i], 那就说明不够,我们移除数组前两项,更新n,重复1 - 如果小于A[i], 则说明够了,更新A[i] 这样做,我们每次都要更新A,还有一种做法就是不更新A,而是`伪更新`,即用一个变量记录,当前访问到的数组位置。 > 很多时候我们需要原始的,那么就必须这种放了,我的解法就是这种方法。 ## 关键点解析 ## 代码 ```js /* * @lc app=leetcode id=900 lang=javascript * * [900] RLE Iterator * * https://leetcode.com/problems/rle-iterator/description/ * * algorithms * Medium (49.03%) * Total Accepted: 11.6K * Total Submissions: 23.5K * Testcase Example: '["RLEIterator","next","next","next","next"]\n[[[3,8,0,9,2,5]],[2],[1],[1],[2]]' * * Write an iterator that iterates through a run-length encoded sequence. * * The iterator is initialized by RLEIterator(int[] A), where A is a run-length * encoding of some sequence.  More specifically, for all even i, A[i] tells us * the number of times that the non-negative integer value A[i+1] is repeated * in the sequence. * * The iterator supports one function: next(int n), which exhausts the next n * elements (n >= 1) and returns the last element exhausted in this way.  If * there is no element left to exhaust, next returns -1 instead. * * For example, we start with A = [3,8,0,9,2,5], which is a run-length encoding * of the sequence [8,8,8,5,5].  This is because the sequence can be read as * "three eights, zero nines, two fives". * * * * Example 1: * * * Input: ["RLEIterator","next","next","next","next"], * [[[3,8,0,9,2,5]],[2],[1],[1],[2]] * Output: [null,8,8,5,-1] * Explanation: * RLEIterator is initialized with RLEIterator([3,8,0,9,2,5]). * This maps to the sequence [8,8,8,5,5]. * RLEIterator.next is then called 4 times: * * .next(2) exhausts 2 terms of the sequence, returning 8. The remaining * sequence is now [8, 5, 5]. * * .next(1) exhausts 1 term of the sequence, returning 8. The remaining * sequence is now [5, 5]. * * .next(1) exhausts 1 term of the sequence, returning 5. The remaining * sequence is now [5]. * * .next(2) exhausts 2 terms, returning -1. This is because the first term * exhausted was 5, * but the second term did not exist. Since the last term exhausted does not * exist, we return -1. * * * * Note: * * * 0 <= A.length <= 1000 * A.length is an even integer. * 0 <= A[i] <= 10^9 * There are at most 1000 calls to RLEIterator.next(int n) per test case. * Each call to RLEIterator.next(int n) will have 1 <= n <= 10^9. * * */ /** * @param {number[]} A */ var RLEIterator = function(A) { this.A = A; this.current = 0; }; /** * @param {number} n * @return {number} */ RLEIterator.prototype.next = function(n) { const A = this.A; while(this.current < A.length && A[this.current] < n){ n = n - A[this.current]; this.current += 2; } if(this.current >= A.length){ return -1; } A[this.current] = A[this.current] - n; // 更新Count return A[this.current + 1]; // 返回element }; /** * Your RLEIterator object will be instantiated and called as such: * var obj = new RLEIterator(A) * var param_1 = obj.next(n) */ ``` ## 扩展阅读 [哈夫曼编码和游程编码](../thinkings/run-length-encode-and-huffman-encode.md)