Largest Subarray Length K
This problem is asking us to find the largest subarray of a given size k
from an array nums
of unique integers. The “largeness” of a subarray is determined by the first differing element when comparing two subarrays.
The Python solution for this problem involves a sliding window approach. We scan through the array to find the start index of the largest subarray. The largest subarray of size k
is the one starting at the maximum element in the nums[0:len(nums)k+1]
range.


In this solution, we find the index of the maximum element in the range nums[0:len(nums)k+1]
and consider this as the starting index of our largest subarray. Then, we return the subarray of length k
starting from this index. This approach guarantees the largest subarray because we start at the highest possible value that allows a subarray of length k
, then select k
elements starting from that index.