title
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
solution
We can store an index i and quantity q which represents that q elements of A[i] (repeated A[i+1] times) are exhausted.
For example, if we have A = [1,2,3,4] (mapping to the sequence [2,4,4,4]) then i = 0, q = 0 represents that nothing is exhausted; i = 0, q = 1 represents that [2] is exhausted, i = 2, q = 1 will represent that we have currently exhausted [2, 4], and so on.
q记录了上次n的位置
class RLEIterator {
public:
int i, q;
vector<int> A;
RLEIterator(vector<int> A) {
this->A = A;
i = 0;
q = 0;
}
int next(int n) {
while (i < A.size()) {
//n+q超过当前值, q重新赋值向前移动, i每次都是偶数,也就是个数3x8的3
if (n + q > A[i]) {
n -= A[i]-q;
q = 0;
i += 2;
}
else {
q += n;
return A[i + 1];
}
}
return -1;
}
};
class RLEIterator:
def __init__(self, A):
"""
:type A: List[int]
"""
self.A = A
self.p = 0
def next(self, n):
"""
:type n: int
:rtype: int
"""
while self.p < len(self.A) and n > self.A[self.p]:
n -= self.A[self.p]
self.p += 2
if self.p >= len(self.A):
return -1
self.A[self.p] -= n
return self.A[self.p+1]