You are given a 0-indexed integer array nums. A subarray of nums is called continuous if:
i, i + 1, ..., j be the indices in the subarray. Then, for each pair of indices i <= i1, i2 <= j, 0 <= |nums[i1] - nums[i2]| <= 2.Return the total number of continuous subarrays.
A subarray is a contiguous non-empty sequence of elements within an array.
Example 1:
Input: nums = [5,4,2,4] Output: 8 Explanation: Continuous subarray of size 1: [5], [4], [2], [4]. Continuous subarray of size 2: [5,4], [4,2], [2,4]. Continuous subarray of size 3: [4,2,4]. Thereare no subarrys of size 4. Total continuous subarrays = 4 + 3 + 1 = 8. It can be shown that there are no more continuous subarrays.
Example 2:
Input: nums = [1,2,3] Output: 6 Explanation: Continuous subarray of size 1: [1], [2], [3]. Continuous subarray of size 2: [1,2], [2,3]. Continuous subarray of size 3: [1,2,3]. Total continuous subarrays = 3 + 2 + 1 = 6.
Constraints:
1 <= nums.length <= 1051 <= nums[i] <= 109class Solution {
public long continuousSubarrays(int[] nums) {
int right = 0, left = 0;
int curMin, curMax;
long windowLen = 0, total = 0;
// Initialize window with first element
curMin = curMax = nums[right];
for (right = 0; right < nums.length; right++) {
// Update min and max for current window
curMin = Math.min(curMin, nums[right]);
curMax = Math.max(curMax, nums[right]);
// If window condition breaks (diff > 2)
if (curMax - curMin > 2) {
// Add subarrays from previous valid window
windowLen = right - left;
total += ((windowLen * (windowLen + 1)) / 2);
// Start new window at current position
left = right;
curMin = curMax = nums[right];
// Expand left boundary while maintaining condition
while (
left > 0 && Math.abs(nums[right] - nums[left - 1]) <= 2
) {
left--;
curMin = Math.min(curMin, nums[left]);
curMax = Math.max(curMax, nums[left]);
}
// Remove overcounted subarrays if left boundary expanded
if (left < right) {
windowLen = right - left;
total -= ((windowLen * (windowLen + 1)) / 2);
}
}
}
// Add subarrays from final window
windowLen = right - left;
total += ((windowLen * (windowLen + 1)) / 2);
return total;
}
}