Consider the following code that uses a list of n elements (alist).  What is the worst case runtime of this algorithm? def my_func(alist):     for item in alist:         return item >= alist[len(alist)-1]     for item in alist:         return item == alist[0]     for item in alist:         return item != alist[len(alist)//2]     Question 11 options:   O(n^2)   O(n)   O(n log n)   O(log n)   O(1)

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Merge sort

Merge Sort recursively sorts a given collection of numbers or elements by using the divide and conquer strategy in less time. It is one of the most used algorithms, with the worst-case time complexity of O (n log n). It was invented by John Von Neumann. The algorithm continuously divides an array into sub-arrays until each sub-array consists of a single element. It then merges those sub-arrays to produce a sorted array.