Assume items is a nonempty list of numbers in the following…
Assume items is a nonempty list of numbers in the following Python function. def min_value(items): if len(items) == 1: return items mid = len(items) // 2 left_min = min_value(items) right_min = min_value(items) if left_min < right_min: return left_min return right_min The combine step compares left_min and right_min because the minimum value of the whole list must be the smaller of the minimum of the left half and the minimum of the right half. Therefore, the combine step takes time, while all elements are still eventually considered through the base cases. The overall running time is if we ignore Python slicing cost.