900. RLE Iterator
Description
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.
- For example, the sequence
arr = [8,8,8,5,5]can be encoded to beencoding = [3,8,2,5].encoding = [3,8,0,9,2,5]andencoding = [2,8,1,8,2,5]are also valid RLE ofarr.
Given a run-length encoded array, design an iterator that iterates through it.
Implement the RLEIterator class:
RLEIterator(int[] encoded)Initializes the object with the encoded arrayencoded.int next(int n)Exhausts the nextnelements and returns the last element exhausted in this way. If there is no element left to exhaust, return-1instead.
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 rLEIterator = new RLEIterator([3, 8, 0, 9, 2, 5]); // This maps to the sequence [8,8,8,5,5]. rLEIterator.next(2); // exhausts 2 terms of the sequence, returning 8. The remaining sequence is now [8, 5, 5]. rLEIterator.next(1); // exhausts 1 term of the sequence, returning 8. The remaining sequence is now [5, 5]. rLEIterator.next(1); // exhausts 1 term of the sequence, returning 5. The remaining sequence is now [5]. rLEIterator.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.
Constraints:
2 <= encoding.length <= 1000encoding.lengthis even.0 <= encoding[i] <= 1091 <= n <= 109- At most
1000calls will be made tonext.
Solutions
Solution 1: Maintain Two Pointers
We define two pointers \(i\) and \(j\), where pointer \(i\) points to the current run-length encoding being read, and pointer \(j\) points to which character in the current run-length encoding is being read. Initially, \(i = 0\), \(j = 0\).
Each time we call next(n), we judge whether the remaining number of characters in the current run-length encoding \(encoding[i] - j\) is less than \(n\). If it is, we subtract \(n\) by \(encoding[i] - j\), add \(2\) to \(i\), and set \(j\) to \(0\), then continue to judge the next run-length encoding. If it is not, we add \(n\) to \(j\) and return \(encoding[i + 1]\).
If \(i\) exceeds the length of the run-length encoding and there is still no return value, it means that there are no remaining elements to be exhausted, and we return \(-1\).
The time complexity is \(O(n + q)\), and the space complexity is \(O(n)\). Here, \(n\) is the length of the run-length encoding, and \(q\) is the number of times next(n) is called.
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