
In this problem, you are provided with an integer array nums of length n and a positive integer k. The task is to determine the power of all possible contiguous subarrays of nums with length k. The power of an array is uniquely defined based on the sequence and ordering of its elements:
The output should be an array results such that results[i] represents the power of the subarray starting from index i and ending at index i + k - 1. This problem challenges you to assess and deduce the sequence composition while keeping an eye on continuous subarray chunks of a given size.
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1 <= n == nums.length <= 5001 <= nums[i] <= 10^51 <= k <= nInitialize an empty list results to store the power of each subarray of size k.
Iterate through the main list nums and for each index i from 0 to n - k, perform:
Extract the subarray sub = nums[i : i + k].
Sort sub and check if each adjacent pair of elements has a difference of 1.
If the subarray is consecutive and sorted:
sub to results.Otherwise:
-1 to results.n <= 500, this O(n * k log k) approach is acceptable, even with a nested loop and sorting inside each window.k = 1 — any single number is trivially consecutive and ascending, so its power is the number itself.Explore the solution for finding the power of K-size subarrays using the C++ language. The provided C++ code defines a method within a class Solution that calculates an array of last elements from consecutive numerically increasing subsequences of a given length target in the input array data.
output with a default value of -1. This vector will store the last elements of valid consecutive segments of the required length.data. During each iteration, check if the current element and the next element form a consecutive sequence.countConsecutive to keep track of how many consecutive elements you encounter.countConsecutive.countConsecutive reaches the value of target, update the output vector at the required position with the current element of the array.The code handles a special case where if the target is 1, it simply returns the original data vector, as every element is a valid segment by itself. The primary algorithm focuses on tracking segments of consecutive numbers and ensuring that only segments with length equal to or greater than target are considered. This efficient method of finding and recording the last element of valid segments provides a direct approach to solving the problem.
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