{ "data": { "question": { "questionId": "936", "questionFrontendId": "900", "categoryTitle": "Algorithms", "boundTopicId": 1240, "title": "RLE Iterator", "titleSlug": "rle-iterator", "content": "
We can use run-length encoding (i.e., RLE) to encode a sequence of integers. In a run-length encoded array of even length encoding
(0-indexed), for all even i
, encoding[i]
tells us the number of times that the non-negative integer value encoding[i + 1]
is repeated in the sequence.
arr = [8,8,8,5,5]
can be encoded to be encoding = [3,8,2,5]
. encoding = [3,8,0,9,2,5]
and encoding = [2,8,1,8,2,5]
are also valid RLE of arr
.Given a run-length encoded array, design an iterator that iterates through it.
\n\nImplement the RLEIterator
class:
RLEIterator(int[] encoded)
Initializes the object with the encoded array encoded
.int next(int n)
Exhausts the next n
elements and returns the last element exhausted in this way. If there is no element left to exhaust, return -1
instead.\n
Example 1:
\n\n\nInput\n["RLEIterator", "next", "next", "next", "next"]\n[[[3, 8, 0, 9, 2, 5]], [2], [1], [1], [2]]\nOutput\n[null, 8, 8, 5, -1]\n\nExplanation\nRLEIterator rLEIterator = new RLEIterator([3, 8, 0, 9, 2, 5]); // This maps to the sequence [8,8,8,5,5].\nrLEIterator.next(2); // exhausts 2 terms of the sequence, returning 8. The remaining sequence is now [8, 5, 5].\nrLEIterator.next(1); // exhausts 1 term of the sequence, returning 8. The remaining sequence is now [5, 5].\nrLEIterator.next(1); // exhausts 1 term of the sequence, returning 5. The remaining sequence is now [5].\nrLEIterator.next(2); // exhausts 2 terms, returning -1. This is because the first term exhausted was 5,\nbut the second term did not exist. Since the last term exhausted does not exist, we return -1.\n\n\n
\n
Constraints:
\n\n2 <= encoding.length <= 1000
encoding.length
is even.0 <= encoding[i] <= 109
1 <= n <= 109
1000
calls will be made to next
.我们可以使用游程编码(即 RLE )来编码一个整数序列。在偶数长度 encoding
( 从 0 开始 )的游程编码数组中,对于所有偶数 i
,encoding[i]
告诉我们非负整数 encoding[i + 1]
在序列中重复的次数。
arr = [8,8,8,5,5]
可以被编码为 encoding =[3,8,2,5]
。encoding =[3,8,0,9,2,5]
和 encoding =[2,8,1,8,2,5]
也是 arr
有效的 RLE 。给定一个游程长度的编码数组,设计一个迭代器来遍历它。
\n\n实现 RLEIterator
类:
RLEIterator(int[] encoded)
用编码后的数组初始化对象。int next(int n)
以这种方式耗尽后 n
个元素并返回最后一个耗尽的元素。如果没有剩余的元素要耗尽,则返回 -1
。\n\n
示例 1:
\n\n\n输入:\n[\"RLEIterator\",\"next\",\"next\",\"next\",\"next\"]\n[[[3,8,0,9,2,5]],[2],[1],[1],[2]]\n输出:\n[null,8,8,5,-1]\n解释:\nRLEIterator rLEIterator = new RLEIterator([3, 8, 0, 9, 2, 5]); // 这映射到序列 [8,8,8,5,5]。\nrLEIterator.next(2); // 耗去序列的 2 个项,返回 8。现在剩下的序列是 [8, 5, 5]。\nrLEIterator.next(1); // 耗去序列的 1 个项,返回 8。现在剩下的序列是 [5, 5]。\nrLEIterator.next(1); // 耗去序列的 1 个项,返回 5。现在剩下的序列是 [5]。\nrLEIterator.next(2); // 耗去序列的 2 个项,返回 -1。 这是由于第一个被耗去的项是 5,\n但第二个项并不存在。由于最后一个要耗去的项不存在,我们返回 -1。\n\n\n
\n\n
提示:
\n\n2 <= encoding.length <= 1000
encoding.length
为偶0 <= encoding[i] <= 109
1 <= n <= 109
next
不高于 1000
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