Template

def solve_problem(inputs):
    # Step 1: Understand the Problem
    # - Parse inputs and outputs.
    # - Clarify constraints (e.g., time, space).
    # - Identify edge cases.

    # Step 2: Plan and Design
    # - Think about the brute-force approach.
    # - Optimize: Can you use dynamic programming, divide & conquer, etc.?
    # - Choose the appropriate data structures (e.g., arrays, hashmaps, heaps).
    
    # Step 3: Implement the Solution
    # - Use helper functions for modularity.
    # - Write clear, well-commented code.
    
    def helper_function(args):
        # Optional: For recursion, BFS, DFS, etc.
        pass

    # Main logic
    result = None  # Initialize result or output variable.
    
    # Example logic
    # for num in inputs:
    #    result += num  # Or other computations.

    return result

# Driver code (for testing locally)
if __name__ == "__main__":
    inputs = []  # Replace with example test cases.
    print(solve_problem(inputs))