Start by clarifying the problem constraints (e.g., array size, integer range, empty array handling) and then propose a simple linear iteration to compute the sum. Discuss potential optimizations like using built-in functions or parallel reduction for large arrays, and mention edge cases such as overflow and empty input.
Pro tip: Demonstrate awareness of production concerns: ask whether the array can be empty, contain negative numbers, or cause integer overflow, and suggest using a 64-bit integer or language-specific safe sum if needed. This shows you think beyond the basic algorithm.
Ask about input size, data types, possible empty array, and expected output type. Confirm whether the array can be modified or if additional memory is allowed.
Propose iterating through the array once, maintaining a running sum. Mention time complexity O(n) and space complexity O(1).
Address empty array (return 0), negative numbers, integer overflow, and potential use of built-in functions or parallel reduction for very large arrays.
Implement the function with clear variable names, proper initialization, and handling of edge cases. Use language-appropriate syntax.
Walk through a few test cases: empty array, single element, positive and negative numbers, and large values to check overflow.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.