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? Question options: O(log n) O(n log n) O(1) O(n) O(n**2) None of these options

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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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?

Question options:

 
O(log n)
 
O(n log n)
 
O(1)
 
O(n)
 
O(n**2)
 
None of these options
import random
def a_func(alist):
for i in range(len(alist)):
alist[i] += random.randint(1, len(alist))
print(alist[i])
def b_func(alist):
for c in range(len(alist)):
print("Counter: ", c)
a_func(alist)
Transcribed Image Text:import random def a_func(alist): for i in range(len(alist)): alist[i] += random.randint(1, len(alist)) print(alist[i]) def b_func(alist): for c in range(len(alist)): print("Counter: ", c) a_func(alist)
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