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While this exact problem may not always appear, similar questions about partial application, function composition, and closures are common in JavaScript interviews at top tech companies. Understanding this pattern helps demonstrate strong functional programming knowledge.
The time complexity is O(n + m), where n is the number of preset arguments and m is the number of arguments provided during invocation. Each argument is processed at most once during placeholder replacement and final merging.
The optimal approach is to iterate through the stored argument list and replace placeholders with incoming arguments sequentially. After filling all placeholders, any remaining arguments are appended before calling the original function. This ensures efficient processing in linear time.
Arrays are the most suitable data structure for this problem because both the preset arguments and incoming arguments are handled sequentially. Simple iteration and pointer tracking allow easy replacement of placeholders and merging of arguments.
