Replace all array elements with the nearest power of its previous element

Replace all array elements with the nearest power of its previous element
Given a circular array arr[] consisting of N integers, the task is to replace all the array elements with the nearest possible power of its previous adjacent element
Examples:

Input: arr[] = {2, 4, 6, 3, 11}Output: 1 4 4 6 9 Explanation:Power of 11 which is nearest to 2 —> 110 = 1Power of 2 which is nearest to 4 —> 22 = 4Power of 4 which is nearest to 6 —> 41 = 4Power of 6 which is nearest to 3 —> 61 = 6Power of 3 which is nearest to 11—> 32 = 9
Input: arr[] = {3, 2, 4, 3}Output: 3 3 4 4Explanation:Power of 3 which is nearest to 3 —> 31 = 3Power of 3 which is nearest to 2 —> 31 = 3Power of 2 which is nearest to 4 —> 22 = 4Power of 4 which is nearest to 3 —> 41 = 4

Approach: The idea to solve this problem is to traverse the array and for each array element arr[i], find the power of the previous element, say X, which is nearest to arr[i], i.e. XK which is closest to arr[i]. Follow the steps:Calculate the value of K, which is equal to the floor value of logx(Y).
Therefore, K and (K + 1) will be the two integers for which the power could be nearest.   
Calculate XKand X(K + 1) and check which is nearer to Y. Then, print that value.
Below is the implementation of the above approach:

Python3

import math
  

def LOG(x, base):
    return int(math.log(x)/math.log(base))
  

def repbyNP(arr):
  
    
    
    x = arr[-1]
  
    
    for i in range(len(arr)):
  
        
        
        k = LOG(arr[i], x)
        temp = arr[i]
  
        
        if abs(x**k – arr[i]) < abs(x**(k + 1) - arr[i]):             arr[i] = x**k         else:             arr[i] = x**(k + 1)                     x = temp             return arr       arr = [2, 4, 6, 3, 11]    print(repbyNP(arr)) Output: [1, 4, 4, 1, 9] Time Complexity: O(N)Auxiliary Space: O(1) Attention reader! Don’t stop learning now. Get hold of all the important DSA concepts with the DSA Self Paced Course at a student-friendly price and become industry ready.