Commit 2e677be
Rewrite hexhamming in Rust using PyO3/maturin (#37)
* Rewrite hexhamming in Rust using PyO3/maturin
Addresses #34 - Rust rewrite for better maintainability
- Replace C++ implementation with Rust using PyO3 0.25.1
- Maintain identical Python API (all 5 functions)
- SIMD support: SSE4.1, AVX2 (x86_64), NEON (ARM)
- Update pyproject.toml to use maturin build backend
- Update CI workflow for Rust/maturin builds
- All 66 existing tests pass
* ci: update workflow for Rust/maturin builds
- Use dtolnay/rust-toolchain instead of actions-rs
- Use bash shell for cross-platform glob expansion
- Build wheels with maturin and install for testing
* perf: aggressive optimization of Rust hamming distance
Key optimizations:
- Branchless hex parsing with 256-byte compile-time lookup table
- #[inline(always)] on hot path scalar functions
- Bounds check elimination with unsafe get_unchecked in inner loops
- Loop unrolling: process 4 hex chars and 32 bytes at a time
- SIMD batch processing: accumulate up to 512 bytes (AVX2) or 256 bytes
(SSE) before horizontal summation to minimize expensive lane reductions
- Optimized AVX2/SSE with VPSHUFB-based popcount lookup tables
- Improved NEON implementation using hardware vcnt instruction
- Better algorithm thresholds for small input fallback to scalar
- Optimized check_hexstrings_within_dist with early termination
- Fix: use count_ones() instead of invalid _mm_popcnt_u64 intrinsic
- Fix: remove compile-time #[cfg(target_feature)] gates for CI compatibility
- Fix: remove #[inline(always)] from #[target_feature] functions (rust-lang/rust#145574)
* perf: optimize check_bytes_arrays_within_dist array scanning
Move algorithm dispatch outside the inner loop to eliminate per-iteration
overhead. The previous implementation called hamming_distance_bytes_dispatch
on every array element, which included:
- Atomic load of CURRENT_ALGO
- Feature detection via is_x86_feature_detected!
- Match dispatch to algorithm implementation
The C++ implementation uses a pre-resolved function pointer that is set
once at module initialization, avoiding this overhead entirely.
This fix uses a macro to duplicate the loop body for each algorithm path,
ensuring the algorithm is resolved once and the inner loop runs with
zero dispatch overhead - matching the C++ approach.
Performance improvements (median times):
- [1024 elems,s=32,mid]: 1699ns -> 1225ns (28% faster)
- [1024 elems,s=32,end]: 3307ns -> 2417ns (27% faster)
- [16384 elems,s=64,mid]: 30542ns -> 27875ns (9% faster)
- [16384 elems,s=64,end]: 61000ns -> 55375ns (9% faster)
* perf(arm64): simplify NEON to use native count_ones()
Benchmarks on Apple Silicon (M-series) reveal that Rust's auto-vectorized
count_ones() is faster than handwritten NEON intrinsics (vcntq_u8 +
horizontal sums). The compiler generates optimal CNT instructions and
handles accumulation efficiently.
Changes:
- Remove manual NEON implementation (vcntq_u8, vpaddlq, vpadalq, etc.)
- ALGO_NEON now uses same code path as ALGO_NATIVE on ARM64
- Add explanatory comments about why x86 keeps VPSHUFB approach
Benefits:
- ~80 lines of complex intrinsic code removed
- Simpler, more maintainable codebase
- Equal or better performance on ARM64
- x86 SSE/AVX2 unchanged (VPSHUFB still faster there)
* fix(arm64): remove stale arm_simd reference in array scan
The arm_simd module was removed in the simplification but a reference
remained in the ALGO_NEON branch of check_bytes_arrays_within_dist.
Now uses hamming_distance_bytes_native which auto-vectorizes on ARM64.
* Add NEON vectorized hex string parser for aarch64
Port the SSE4.1 SIMD hex string path to ARM64 NEON intrinsics.
Processes 16 ASCII hex chars per iteration using:
- vqtbl1q_u8 for branchless hex→nibble conversion
- vcntq_u8/vpaddlq cascade for parallel popcount
- Batched horizontal summation (64 chars at a time)
- vmaxvq_u8 for fast validity checking
~2x speedup on hamming_distance_string for 254-char inputs
on Apple M4 Max (163ns → 83ns).
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add public Rust API for zero-overhead direct calls
Expose hex_hamming_distance() and bytes_hamming_distance() as public
functions callable from Rust without any Python/PyO3 overhead.
- Gate PyO3 bindings behind 'python' feature (on by default)
- Add 'rlib' crate-type so other Rust crates can depend on hexhamming
- Add criterion benchmarks for the raw Rust API
- cargo test --no-default-features runs doc tests without Python
Raw performance (Apple M4 Max, no Python overhead):
hex_hamming_distance: 254 chars → 24.5 ns (vs 83 ns from Python)
bytes_hamming_distance: 127 bytes → 5.0 ns (vs 63 ns from Python)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Optimize NEON hex parser: 10 instructions → 7
Replace the dual-range-check + double-blend hex parser with a simpler
subtract-and-correct approach:
1. digit_val = c - '0'
2. letter_val = (c & 0xDF) - '0' - 7 (case-fold + normalize)
3. Select letter path where digit_val > 9
4. Invalidate false positives where adjusted < 10 ('@', '`')
Rust-direct: 24.5ns → 20.9ns for 254 hex chars (15% faster)
From Python: 83ns → 76ns for 254 hex chars (8% faster)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Apply pack-to-bytes optimization to both NEON and SSE string paths
- Wire NEON pack variant into dispatch (was experimental, now default)
- Rewrite SSE hex string path with pack-to-bytes approach:
parse 32 chars (2×16) → nibbles → XOR → pack into bytes → hw popcnt
- Extract hex_parse_sse() helper using subtract-and-correct algorithm
(matches NEON hex_parse_neon: 7 instructions, catches @/` false positives)
- Fix signed comparison validation: check both > 15 and < 0 for SSE
- Add public hex_hamming_distance_pack() for aarch64 benchmarking
- Add criterion bench group for pack variant
- Add #[cfg(test)] unit tests covering both architectures
- Verified: x86_64 compiles and all tests pass via Rosetta 2
- Verified: aarch64 42 Python tests + 9 Rust unit tests + 2 doc tests pass
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add AVX2 vectorized hex string path
- Add hex_parse_avx2(): 256-bit subtract-and-correct hex parser (32 lanes)
- Add hamming_distance_string_avx2(): processes 64 hex chars per iteration
using pack-to-bytes approach with hardware popcnt
- Update string dispatch to prefer AVX2 over SSE when available
- Falls back to SSE for < 64 chars and tail processing
- Add unit tests for 64/128/254 char strings and mixed hex content
- Verified: x86_64 compilation + all tests pass via Rosetta 2
- Verified: aarch64 10 Rust tests + 42 Python tests pass
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add AVX-512 BITALG support for string and byte paths
- Gate on AVX-512BW + BITALG (Ice Lake+, Zen 4+)
- hex_parse_avx512(): 64-lane subtract-and-correct parser using k-masks
- hamming_distance_string_avx512(): parse 64 hex chars, XOR nibbles,
VPOPCNTB for native per-byte popcount — no pack step needed
- hamming_distance_bytes_avx512(): XOR + VPOPCNTB with batched accumulation
- Update dispatches, set_algo ('avx512'/'avx-512'), and auto-detect
- Graceful fallback: AVX-512 → AVX2 → SSE4.1 → scalar
- Verified: x86_64 compiles, all tests pass via Rosetta 2 (AVX2 fallback)
- Verified: forced AVX-512 target-feature correctly emits SIGILL on Rosetta
(confirms instructions generated; runtime feature detection skips them)
- Verified: aarch64 10 Rust tests + 42 Python tests pass
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Use masked AVX-512 loads to eliminate tail fallthrough overhead
- Replace AVX2/SSE fallthrough for string tail with _mm512_maskz_loadu_epi8
- Replace scalar loop for bytes tail with masked AVX-512 load + VPOPCNTB
- Both normal and early-termination paths use masked tails
- Lower AVX-512 string threshold from 64 to 16 chars
- Expected improvement: 254 chars should drop from ~32ns toward ~25ns
(eliminates AVX-512 → AVX2 → SSE function call cascade for 62-char tail)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add per-algorithm benchmarks and public set_algorithm() API
- Add set_algorithm() to public Rust API for algorithm selection
- Rewrite criterion benchmarks to iterate over all available algorithms
(classic, sse, avx2, avx512 on x86; classic, neon on aarch64)
- Automatically skips unsupported algorithms on each platform
- Groups results as hex_string/{algo} and bytes/{algo} for easy comparison
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add array API feature parity and GIL release
- Add check_bytes_within_dist() for single-pair byte distance check
- Add check_bytes_arrays_first_within_dist() (early-exit on first match)
- Add check_bytes_arrays_best_within_dist() (find closest match)
- Add check_bytes_arrays_all_within_dist() (find all matches)
- Keep check_bytes_arrays_within_dist() as backwards-compat alias for first
- Release GIL via py.allow_threads() on all compute-heavy functions
- Free-threaded Python supported out of the box (pyo3 0.25, no gil_used)
- Bump version to 2.4.0
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add array API benchmarks and public Rust API
- Add Rust public API: bytes_within_dist, bytes_array_{first,best,all}_within_dist
- Add Rust criterion benchmarks for array API (512×16, 16384×64 scenarios)
- Add Rust criterion benchmark for bytes_within_dist
- Add Python benchmark for check_bytes_within_dist
- Bump Cargo.toml version to 2.4.0
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* ci: make benchmark regressions a warning, not a failure
Benchmark comparisons run on different GitHub Actions runners, so
sub-microsecond timing differences are noise, not real regressions.
Change the severe regression check from exit 1 to a warning annotation.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>1 parent ac6e560 commit 2e677be
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Lines changed: 3205 additions & 177 deletions
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