* util/vector: hoist quicksort scratch buffers out of the recursion
vector_quick_sort allocated its two element-sized scratch buffers (t and
pivot) with malloc/free on every recursive call. For a vector of n elements
the sort makes O(n) recursive calls, i.e. O(n) malloc/free pairs purely for
scratch space, and each call could also fail half-way through the sort.
Split the function into a small entry point that allocates the two buffers
once and a recursive worker that receives them as scratch. The buffers are
reused across the whole recursion (each partition step finishes using them
before recursing, and the recursion is sequential, so sharing one pair is
safe). Small elements -- the common case, including every RzPVector-backed
sort -- use stack buffers and allocate nothing at all; only elements larger
than 256 bytes fall back to a single heap allocation for the whole sort.
The element movement and rand()-based pivot selection are unchanged, so the
result is identical for any input (verified byte-for-byte against the previous
implementation for ascending and descending orders over many random arrays).
* util/vector: evaluate the comparator once per element in the quicksort
The partition loop tested the element against the pivot with two separate
calls to the comparator:
if ((cmp(VEC_INDEX(a, i), pivot, user) < 0 && !reverse) ||
(cmp(VEC_INDEX(a, i), pivot, user) > 0 && reverse)) {
Because cmp is an opaque function pointer the compiler cannot common up the
two calls, so depending on the result and the reverse flag the comparator was
invoked up to twice per element. Compute the result once into a local and test
that:
int c = cmp(VEC_INDEX(a, i), pivot, user);
if ((c < 0 && !reverse) || (c > 0 && reverse)) {
This halves comparator calls in the worst case and is a clear win whenever the
comparator is non-trivial (the common case for struct elements). Measured on a
shared host: ~12-14% faster for int sorting and ~30% faster with a moderately
expensive comparator. The ordering is unchanged (verified byte-for-byte).
* util/vector: simplify rz_pvector_remove_data index computation
The index of the located slot was computed as
size_t index = (el - (void **)vec->v.a) * sizeof(void **) / vec->v.elem_size;
For an RzPVector the element size is always sizeof(void *), so the
`* sizeof(void **) / vec->v.elem_size` factor is identically 1 and the pointer
difference `el - (void **)vec->v.a` already yields the index directly. Drop the
redundant scaling, which removes a multiply and a divide and makes the intent
clear. Behaviour is unchanged.
* test/unit: add RzVector sort and rz_pvector_remove_data regression tests
The existing sort tests only sort 4-5 small elements and there was no test for
rz_pvector_remove_data. Add coverage for the code paths exercised by the sort
changes and the remove_data cleanup:
- test_vector_sort_large sort 2000 heavily-duplicated ut32 values
ascending and descending, verifying the result
is ordered and a permutation of the input (vs a
reference qsort). Drives the recursion deeply
and the shared scratch buffers.
- test_vector_sort_large_elem sort 400 elements of 304 bytes each, taking the
heap-allocated scratch fallback, and check the
full payload (not just the key) stays consistent
through all the element moves.
- test_pvector_remove_data remove interior, first and last elements by
value while preserving order, and confirm
removing an absent value is a no-op.
All pass on both the previous and the optimized implementation (the sort and
remove_data changes are behaviour-preserving).
* test/bench: benchmark rz_vector_sort and rz_pvector_sort
bench_vector.c benchmarked only remove_at and swap. Add sort benchmarks so the
suite covers the functions touched by the sort optimizations and can be run
against the old and new librz for before/after numbers:
- rz_vector_sort over 4k ut64 with a cheap comparator
- rz_vector_sort over 4k ut64 with a deliberately expensive comparator
(shows the effect of evaluating the comparator once per element)
- rz_pvector_sort over 4k pointers (reference; pvector sort is unchanged)
Each iteration refills the buffer from an unsorted master copy via a single
memcpy before sorting; that overhead is identical across builds so the measured
delta reflects the sort.
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Co-authored-by: Anton Kochkov <anton.kochkov@gmail.com>
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