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Copy path2090.k-radius-subarray-averages.cpp
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2090.k-radius-subarray-averages.cpp
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// Tag: Array, Sliding Window
// Time: O(N)
// Space: O(1)
// Ref: -
// Note: -
// You are given a 0-indexed array nums of n integers, and an integer k.
// The k-radius average for a subarray of nums centered at some index i with the radius k is the average of all elements in nums between the indices i - k and i + k (inclusive). If there are less than k elements before or after the index i, then the k-radius average is -1.
// Build and return an array avgs of length n where avgs[i] is the k-radius average for the subarray centered at index i.
// The average of x elements is the sum of the x elements divided by x, using integer division. The integer division truncates toward zero, which means losing its fractional part.
//
// For example, the average of four elements 2, 3, 1, and 5 is (2 + 3 + 1 + 5) / 4 = 11 / 4 = 2.75, which truncates to 2.
//
//
// Example 1:
//
//
// Input: nums = [7,4,3,9,1,8,5,2,6], k = 3
// Output: [-1,-1,-1,5,4,4,-1,-1,-1]
// Explanation:
// - avg[0], avg[1], and avg[2] are -1 because there are less than k elements before each index.
// - The sum of the subarray centered at index 3 with radius 3 is: 7 + 4 + 3 + 9 + 1 + 8 + 5 = 37.
// Using integer division, avg[3] = 37 / 7 = 5.
// - For the subarray centered at index 4, avg[4] = (4 + 3 + 9 + 1 + 8 + 5 + 2) / 7 = 4.
// - For the subarray centered at index 5, avg[5] = (3 + 9 + 1 + 8 + 5 + 2 + 6) / 7 = 4.
// - avg[6], avg[7], and avg[8] are -1 because there are less than k elements after each index.
//
// Example 2:
//
// Input: nums = [100000], k = 0
// Output: [100000]
// Explanation:
// - The sum of the subarray centered at index 0 with radius 0 is: 100000.
// avg[0] = 100000 / 1 = 100000.
//
// Example 3:
//
// Input: nums = [8], k = 100000
// Output: [-1]
// Explanation:
// - avg[0] is -1 because there are less than k elements before and after index 0.
//
//
// Constraints:
//
// n == nums.length
// 1 <= n <= 105
// 0 <= nums[i], k <= 105
//
//
class Solution {
public:
vector<int> getAverages(vector<int>& nums, int k) {
int n = nums.size();
vector<int> res(n, -1);
long long total = 0;
k = 2 * k + 1;
for (int i = 0; i < n; i++) {
total += nums[i];
if (i >= k - 1) {
int j = i - k + 1;
int center = (i + j) / 2;
res[center] = total / k;
total -= nums[j];
}
}
return res;
}
};