Questions

CMPSC 132 Spring 2025 Module 4 Checkpoint

Multiple dropdown selections

Complete the implementation for the recursive function get_largest, that takes a list of numbers num_list and returns the largest value in the list. It does not modify num_list def get_largest(num_list): """ >>> get_largest([1,2,5,4,3]) 5 >>> get_largest([-9,7,2,4,20,1,100]) 100 >>> get_largest([-9,7,2,4,20,1]) 20 >>> get_largest([90,7,2,4,20,1]) 90 """ n = [ Select ] len(num_list) num_list[0] num_list num_list[-1] if n == 1: return [ Select ] num_list[:] num_list num_list[0] 0 else: temp = get_largest( [ Select ] num_list[:n-1] num_list[1] num_list[1:] num_list[:] ) if num_list[n-1] > [ Select ] num_list temp[1:] temp 1 : return [ Select ] num_list[1] num_list[n-1] num_list[n] num_list[0] else: return temp

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The question presents a Python function get_largest(num_list) that should return the largest value in the list without modifying num_list, and it uses a recursive approach with several placeholders to fill in. Option analysis: - len(num_list) This expression would be used to set n, the length of the list, which is essential for determining the base case and the slice boundaries for the recursive step. Using len(num_list) here makes sense because you need to know how many elements are in the list to decide if you’ve reached the base case (a single-element list) and to define slices based on n. If this were something else, the subsequent indexing and slicing logic could fail or cause incorrect recursion. - num_list[0] In a typical recu......Login to view full explanation

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