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To solve this problem, we need to write a function that takes a list of integers and returns the maximum integer in the list. If the list is empty, the function should return None.

Approach

The approach to solve this problem involves two main steps:

1. Check for Empty List: First, we need to verify if the input list is empty. If it is, return None.
2. Find Maximum Value: If the list is non-empty, we can use Python's built-in max() function to efficiently find the maximum value in the list. This function is optimized and handles all edge cases (like negative numbers, single-element lists) correctly.

Solution Code

def find_max(lst):
    if not lst:
        return None
    return max(lst)

Explanation

• Empty List Check: The condition if not lst checks if the list is empty (since empty lists are "falsy" in Python). If true, return None.
• Max Calculation: The max() function is used to get the largest element in the non-empty list. This function works for all valid integer lists, including those with negative numbers, single elements, or multiple elements.

This solution is concise, efficient, and adheres to the problem requirements. It handles all possible cases correctly and leverages Python's built-in functions for optimal performance.

Examples:

• find_max([]) → None
• find_max([1,3,2]) → 3
• find_max([-5, -3, -10]) → -3
• find_max([7]) → 7

All these examples are handled correctly by the function.

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