Previously, the Quicksort implementation was written in the obvious way: after each partitioning step, it explicitly recursed twice to sort the two sublists. Now it compares the two sublists' sizes, and recurses only to sort the smaller one. To handle the larger list it loops back round to the top of the function, so as to handle it within the existing stack frame. This means that every recursive call is handling a list at most half that of its caller. So the maximum recursive call depth is O(lg N). Otherwise, in Quicksort's bad cases where each partition step peels off a small constant number of array elements, the stack usage could grow linearly with the array being sorted, i.e. it might be Θ(N). I tested this code by manually constructing a List Of Doom that causes this particular quicksort implementation to hit its worst case, and confirming that it recursed very deeply in the old code and doesn't in the new code. But I haven't added that list to the test suite, because the List Of Doom has to be constructed in a way based on every detail of the quicksort algorithm (pivot choice and partitioning strategy), so it would silently stop being a useful regression test as soon as any detail changed.
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