Consider the following code. Assume alist is a list of n numbers. Select the best answer that represents the run time complexity of function b func? import random def a func(alist): for i in range(3): index return index, alist[index] random.randint(e, len(alist)-1) %3D def b_func(alist): a - 0 while a < len(alist): print("Counter: ind, result - a_func(alist) print(ind, result) , a) a += 1 O(n log n) O 0(1) O Oln**2) O(log n) O(n) None of these options
Consider the following code. Assume alist is a list of n numbers. Select the best answer that represents the run time complexity of function b func? import random def a func(alist): for i in range(3): index return index, alist[index] random.randint(e, len(alist)-1) %3D def b_func(alist): a - 0 while a < len(alist): print("Counter: ind, result - a_func(alist) print(ind, result) , a) a += 1 O(n log n) O 0(1) O Oln**2) O(log n) O(n) None of these options
C++ Programming: From Problem Analysis to Program Design
8th Edition
ISBN:9781337102087
Author:D. S. Malik
Publisher:D. S. Malik
Chapter5: Control Structures Ii (repetition)
Section: Chapter Questions
Problem 19SA
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