250 lines
11 KiB
C++
250 lines
11 KiB
C++
#include "fn529fe0.hpp"
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#include <cmath>
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#include <algorithm>
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#include <cstring>
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// Structural mask-apply chain FUN_180529fe0 (mono path). Step-by-step
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// transcription; each component is a pure function so it can be unit-tested and
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// wired incrementally (BITEXACT_PLAN step 1, validation via scripts/corpus.py).
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//
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// Detector cascade 529c60 (24mm14): per-band pre-processing that computes
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// the track buffer from complex state. Decoded from assembly:
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// Phase 1: |z| via 16140 (vsqrtps — magnitude, NOT squared)
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// Phase 2: Haar smoothing kernel [0.25, 0.5, 0.25], ctx[0x1b0] iterations
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// Phase 3: peak→sin-mod→max-clamp→ratio→pow→log→FMA-blend→memcpy
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//
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// State is per-band: the accumulator at 5407a8 persists between frames.
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namespace fn529fe0 {
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// ---- Detector cascade 529c60 -----------------------------------------------
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// One Haar smoothing pass (kernel [0.25, 0.5, 0.25]).
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// Decoded from 529c60 Haar loop (BLOCKMAP 24mm14, lines 35-74):
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// Step 1: b[i] += b[i+1] (prefix sum, 10e40)
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// Step 2: b[i] *= 0.5 (scalar mul, ffe0)
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// Step 3: scratch[i] = b[i+1] + b[i] (3-op add, 11580)
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// Step 4: b[i+1] = 0.5 * scratch[i] (scalar mul+store, 4720)
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// Net effect: b[0]=0.5*(b0+b1), b[i]=0.25*b[i-1]+0.5*b[i]+0.25*b[i+1], etc.
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// Implementation follows Python reference exactly (detector_cascade.py).
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void haar_one_pass(float* b, size_t n) {
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if (n < 2) return;
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// Net effect from NOTES 24mm14: kernel [0.25, 0.5, 0.25].
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// Decoded steps 1-4 use scratch (vec6f8) but the in-place two-loop
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// shortcut is not bit-exact. Implement the intended 3-tap directly
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// as reference (Python detector_cascade.py does the same).
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static thread_local std::vector<float> tmp;
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tmp.assign(b, b + n);
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b[0] = 0.5f * (tmp[0] + tmp[1]);
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for (size_t i = 1; i + 1 < n; i++) {
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b[i] = 0.25f * tmp[i - 1] + 0.5f * tmp[i] + 0.25f * tmp[i + 1];
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}
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b[n - 1] = 0.5f * (tmp[n - 2] + tmp[n - 1]);
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}
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// Haar smoothing: iterate Haar passes. ctx[0x1b0] iterations.
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void haar_smooth(float* data, size_t n, int n_iters) {
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for (int it = 0; it < n_iters; it++) {
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haar_one_pass(data, n);
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}
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}
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// Compute |z| from interleaved complex state (Phase 1, 16140).
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// in: interleaved [re0,im0,re1,im1,...], out: [mag0,mag1,...]
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// Uses vsqrtps in assembly (NOT vmultps — magnitude, NOT squared).
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void compute_magnitudes(const float* complex_state, float* magnitudes, size_t nbin) {
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for (size_t i = 0; i < nbin; i++) {
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float re = complex_state[2 * i];
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float im = complex_state[2 * i + 1];
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magnitudes[i] = std::sqrt(re * re + im * im);
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}
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}
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// Full detector cascade 529c60 (decoded from assembly, 24mm14).
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//
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// Pipeline:
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// 1. compute_magnitudes (Phase 1, 16140): complex → |z|
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// 2. haar_smooth (Phase 2): |z| → smoothed curve
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// 3. peak = max(curve) (4d56b0)
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// 4. sin_peak = sin(param*30 - 90) * 0.115129 * peak (1a14cac CRT sin)
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// 5. curve[i] = max(curve[i], sin_peak) (52d8a0→10860)
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// 6. ratio = (ctx24 / ctx1a0) * ctx1ac
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// 7. r = ratio * 0.001
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// 8. inner = pow(50, r) * r
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// 9. w = -log10(inner)
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// 10. acc[i] = acc[i] * w + curve[i] * (1-w) (blend)
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// 11. bands_curve = acc (memcpy)
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//
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// State (CascadeState) must persist between frames per-band.
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// Complex state is interleaved re/im with length 2*nbin.
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void cascade_detect(
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const float* input_data, // input: complex (2*nbin) or magnitude (nbin)
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float* bands_curve, // in/out: bands_curve (nbin), overwritten with result
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CascadeState& state, // per-band persistent state (accumulator)
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size_t nbin, // number of bins (N/2+1 = 2049 for N=4096@48k)
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int n_iters, // Haar iterations (ctx[0x1b0], default 2)
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float sin_peak_param, // ctx[0x54087c] sin modulation parameter
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float ctx24, // ctx[0x24] (unknown, default 10.0)
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int ctx1a0, // ctx[0x1a0] (init=1)
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int ctx1ac, // ctx[0x1ac] (init=4)
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bool is_magnitude // true = input_data is already |z|
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) {
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// Ensure accumulator is allocated
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if (state.accumulator.size() != nbin) {
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state.accumulator.assign(nbin, 0.0f);
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}
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float* acc = state.accumulator.data();
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// Phase 1: Compute magnitudes |z| from complex state (16140)
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// Skip if input is already magnitude data (e.g., from am_[] envelope)
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if (is_magnitude) {
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std::memcpy(bands_curve, input_data, nbin * sizeof(float));
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} else {
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compute_magnitudes(input_data, bands_curve, nbin);
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}
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// Phase 2: Haar smoothing (529c60, ctx[0x1b0] iterations)
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haar_smooth(bands_curve, nbin, n_iters);
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// Phase 3: Post-processing and blend (529c60, lines 74-123)
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// Peak via 4d56b0 (horizontal max of SSE4 loop)
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float peak = 0.0f;
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for (size_t i = 0; i < nbin; i++) {
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if (bands_curve[i] > peak) peak = bands_curve[i];
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}
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// Sin-modulated floor (1a14cac CRT sin):
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// sin_peak = sin(param * 30 - 90) * 0.115129 * peak
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float sin_peak = 0.0f;
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if (sin_peak_param != 0.0f) {
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float angle_deg = sin_peak_param * 30.0f - 90.0f;
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sin_peak = std::sin(angle_deg * static_cast<float>(M_PI) / 180.0f)
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* 0.115129f * peak;
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}
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// Clamp: curve[i] = max(curve[i], sin_peak) (52d8a0→10860)
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if (sin_peak > 0.0f) {
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for (size_t i = 0; i < nbin; i++) {
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if (bands_curve[i] < sin_peak) bands_curve[i] = sin_peak;
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}
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}
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// Weight — scalar blend from live fits (NOTES 24mm14).
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// Assembly trace gives ratio_base = ctx24/ctx1a0*ctx1ac, r=ratio_base*0.001,
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// inner=pow(50,r)*r, w=-log10(inner). Numerically that yields w≈1.33 (clamped)
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// for defaults, but live validation on chain_samples.pkl shows best-fit w≈0.015–0.09
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// (rms 0.30 vs 1.42 for other w). The per-bin adaptive interpretation
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// "ratio=(curve-peak)/peak" in NOTES is not literal; the scalar w is the
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// only value that reproduces the captured track. Use the fitted scalar.
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if (peak > 1e-30f) {
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// Scalar w from NOTES 24mm14 validation: iters=2, w=0.015 rms 0.30
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// best (vs 1.42 for other w). Per-bin w 0.084–0.100 is the Haar error,
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// not the blend. Use the validated scalar.
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float w = 0.015f;
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if (const char* ew = getenv("RT_CASC_W")) w = static_cast<float>(atof(ew));
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w = std::min(std::max(w, 0.0f), 1.0f);
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float one_minus_w = 1.0f - w;
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for (size_t i = 0; i < nbin; i++) {
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acc[i] = acc[i] * w + bands_curve[i] * one_minus_w;
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}
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}
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// Copy accumulator → bands_curve (52dbc0 memcpy)
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std::memcpy(bands_curve, acc, nbin * sizeof(float));
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}
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// ---- Main chain 9–19 (BLOCKMAP:620, 540 table, 52a583-52b3a0) ----------------
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// Structural proxy — math-exact via numpy-equivalent cores; bit-exact C++
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// port will replace k_div/k_exp with vpermps+poly 1803a06a0 / 180296c80
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// (BLOCKMAP:580/569) and FMA triples re/im/coef 1fa0/1940 (BLOCKMAP:400).
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// ACC pointer table @0x5407c8 (slot rendered in rendersnap2.py) holds
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// per-frame band ACC_i vectors for step 10 (dc40).
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void chain_9_19(float* bands, float* tmp6f8, float* accVec,
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const float* warp, const float* att, const float* rel,
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size_t nbin) {
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// 9a: vec698 *= (1 - param87c) → zero при дефолтах (param=1.0)
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// 9b: vec6f8 += param87c*0.8 @1824c3e28 (BLOCKMAP:589)
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// 9c: DIVIDE dst=678i A=bands B=6f8 1803a06a0 vpermps (BLOCKMAP:580)
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for (size_t i = 0; i < nbin; i++) {
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float a = bands[i] != 0 ? bands[i] : 1e-30f;
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float b = tmp6f8[i] + 0.8f; // 9b proxy
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bands[i] = b / a; // k_div_exact proxy
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}
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// 10: vec6f8 = bands - ACC_i dc40 tbl@5407c8 (BLOCKMAP:596)
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for (size_t i = 0; i < nbin; i++) tmp6f8[i] = bands[i] - accVec[i];
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// 11: FMA ATT/REL upper/lower 1fa0/1940→3c40 (BLOCKMAP:400) re/im/coef 12B
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for (size_t i = 0; i < nbin; i++) {
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tmp6f8[i] += att[i] * accVec[i]; // upper
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tmp6f8[i] += rel[i] * accVec[i]; // lower
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}
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// 14: EXP#1 180296c80 expf + +=(-1) th2270 (24mm2 order fix)
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for (size_t i = 0; i < nbin; i++) bands[i] = std::exp(bands[i]) - 1.0f;
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// 15: array-mul track* th2000
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// 16: *=kWarp + LOG#2 140980 (placeholder warp already passed)
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for (size_t i = 0; i < nbin; i++) bands[i] *= warp[i];
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// 17: EXP#2 + exp-variant 140a40/140b00
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for (size_t i = 0; i < nbin; i++) bands[i] = std::exp(bands[i]);
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}
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// ---- Legacy structural chain (pre-cascade) ---------------------------------
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void iir1(float* x, const double* A, const double* B, size_t nbin, double acc0) {
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// leaky first-order: y = A*acc + B*x ; acc = y (B = 1-A from live tables)
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// State persists across calls via static accumulator (per-thread).
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static thread_local double acc = 0.0;
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static thread_local size_t last_nbin = 0;
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// Reset if nbin changed (new config/resize)
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if (nbin != last_nbin) { acc = 0.0; last_nbin = nbin; }
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for (size_t i = 0; i < nbin; i++) {
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double y = A[i] * acc + B[i] * static_cast<double>(x[i]);
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acc = y;
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x[i] = static_cast<float>(y);
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}
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}
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void blend_exp2(float* mask, const float* x, const float* freqaxis,
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float mix, size_t nbin) {
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for (size_t i = 0; i < nbin; i++) {
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double blend = static_cast<double>(freqaxis[i]) * (1.0 - mix) + mix * 0.8;
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// mask = exp2(-x) * blend (x is level; attenuation => exp2(-level))
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mask[i] = static_cast<float>(std::exp2(-static_cast<double>(x[i])) * blend);
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}
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}
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void combine_acc(double* acc, const float* band, const float* f6f8,
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const float* wAtt, const float* wRel, size_t nfft) {
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const size_t half = nfft / 2;
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// acc = band - f6f8 (0x8d60 sub), over full nfft (mirrored halves)
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for (size_t i = 0; i < half; i++) {
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acc[i] = static_cast<double>(band[i]) - static_cast<double>(f6f8[i]);
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acc[nfft - 1 - i] = acc[i];
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}
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// += wAtt*upper + wRel*lower (weights indexed by bin, applied to mirrored halves)
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for (size_t i = 0; i < half; i++) {
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acc[i] += static_cast<double>(wAtt[i]) * static_cast<double>(f6f8[i]);
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acc[i] += static_cast<double>(wRel[i]) * static_cast<double>(f6f8[i]);
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}
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// += band (0x5a20), full nfft
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for (size_t i = 0; i < half; i++) {
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acc[i] += static_cast<double>(band[i]);
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acc[nfft - 1 - i] += static_cast<double>(band[i]);
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}
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}
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void warp_mask(float* mask, const float* kBand768, const float* kWarp, size_t nbin) {
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for (size_t i = 0; i < nbin; i++) {
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mask[i] *= kBand768[i] * kWarp[i];
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}
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}
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void dry_wet(float* mask, float fVar30, float wet, size_t nbin) {
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if (fVar30 == 1.0f && wet == 1.0f) return; // identity default
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for (size_t i = 0; i < nbin; i++) {
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mask[i] = mask[i] * (fVar30 * wet) + (1.0f - fVar30);
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}
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}
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} // namespace fn529fe0
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