feat(fingerprint): VectorWidth config + dequantize_i8_to_f32#107
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…hable Adds VectorConfig + vector_config() frozen singleton (like simd_caps()). Three widths: W4K (64 words): CAM command address space — one item per slot W8K (128 words): deprecated legacy W16K (256 words): production default Default: 16K. Override: NDARRAY_VECTOR_WIDTH=8192 env var before first access. After first call, width is frozen for the process lifetime. https://claude.ai/code/session_01SbYsmmbPf9YQuYbHZN52Zh
…or width 4096 = 0xFFF address space for CAM commands/verbs (one item per slot). Not a holographic memory width. Only W8K (deprecated) and W16K (production). https://claude.ai/code/session_01SbYsmmbPf9YQuYbHZN52Zh
…, not, permute, random, from_content, density Adds all methods needed by ladybug-rs cognitive modules: - Bit manipulation: get_bit, set_bit, toggle_bit - VSA ops: bind (XOR), and, not, permute (circular shift) - Construction: random (xorshift128+), from_content (hash expansion) - Query: density (set bits / total), hamming alias, as_raw These enable lance-graph-cognitive grammar+world modules to compile clean against ndarray Fingerprint<256> without ladybug-rs core types. https://claude.ai/code/session_01SbYsmmbPf9YQuYbHZN52Zh
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Summary
vector_config()LazyLock singleton (likesimd_caps()). Three widths: W4K (CAM command space), W8K (deprecated), W16K (production default). Override viaNDARRAY_VECTOR_WIDTHenv var.Test plan
https://claude.ai/code/session_01SbYsmmbPf9YQuYbHZN52Zh