add Pumpkin voxel modules, jitson JIT engine, holo optics, and SIMD enhancements`#29
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Pumpkin Shopping List (9 new items): - property_mask.rs: compiled bitset property queries, batch test_section - nibble.rs: 4-bit nibble pack/unpack/sub_clamp/threshold - aabb.rs: AABB batch intersection, expand, squared distance - distance.rs: batch f32/f64 squared distance, radius filter, knn - byte_scan.rs: NBT byte/u16 pattern scanner - spatial_hash.rs: 3D spatial hash grid with radius/knn queries - jitson/noise.rs: NoiseParams for JIT octave baking - bitwise.rs: popcount_batch_u64, popcount_per_word, masked_popcount - palette_codec.rs: unpack_indices_simd with AVX2 4-bit fast path Integration wiring: - clam.rs: rho_nn_candidates + clam_cascade_search bridge - crystal_encoder.rs: search_similar, pipeline_encode_search - arrow_bridge.rs: ThreePlaneFingerprintBuffer, SoakingBuffer, BindNodeV2 https://claude.ai/code/session_01CdqyUTUfjKZuk8YGJzv6LB
- Don't break knn search immediately when k candidates found — check if next ring could contain closer points first - Compare distances instead of IDs in test (tie-breaking is implementation-defined) https://claude.ai/code/session_01CdqyUTUfjKZuk8YGJzv6LB
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Summary
aabb(batch AABB intersection w/ SSE4.1),nibble(4-bit light-level pack/unpack w/ AVX2),property_mask(compiled bitmask queries w/ AVX2),spatial_hash(grid-based spatial index w/ KNN),clam(chunk-column claim tracking),crystal_encoder(run-length block encoding),arrow_bridge(Arrow IPC serde),byte_scan(varint + length-prefixed protocol parsing),kernels(batch dot/saxpy/reduce)parser,validator,template,scan_config,precompile,packed,noisemodules + runtime detect/IR/engine layers. Refactored fromRwLocktoLazyLock::get_mut(populate-then-freeze pattern)palette_codec(variable-width bit-packed palette indices),zeck(Zeckendorf/Fibonacci encoding + batch/top_k),hamming_top_k_raw, distance kernels, bitwise opssimd_avx2for downstream crate access, 74 clippy fixes,chunks_exactSIMD loop optimization, data-flow invariants rule