diff --git a/dsp/CMakeLists.txt b/dsp/CMakeLists.txt
index 16df9ed..02470cd 100644
--- a/dsp/CMakeLists.txt
+++ b/dsp/CMakeLists.txt
@@ -23,6 +23,7 @@ add_library(soothe2_dsp SHARED
     leveltrack.cpp
     framed_model.cpp
     rt_weights.cpp
+    rt_mask_tables.cpp
 )
 
 add_executable(soothe2_harness harness.cpp)
diff --git a/dsp/framed_model.cpp b/dsp/framed_model.cpp
index 884af1e..9fe26d5 100644
--- a/dsp/framed_model.cpp
+++ b/dsp/framed_model.cpp
@@ -1,32 +1,42 @@
 #include "framed_model.hpp"
 #include "twin.hpp"
 #include "freqpath.hpp"
-#include "rt_weights.hpp"
+#include "rt_mask_tables.hpp"
 #include <cmath>
 #include <cstring>
 #include <algorithm>
 
 namespace {
 
-// Mask curve fitted against live capture (snap_rt.bin, mask band0 vs acc 0x5407c8):
-//   mask = (1 / (1 + K*acc))^n,  K=9.80, n=0.260  (mse 0.019 over 17 resonant bins)
-constexpr double MASK_K = 9.8026;
-constexpr double MASK_N = 0.25966;
 // sens XML -> internal sens_stored = sens * 2.054 (NOTES_TWIN:74: XML 12 -> 24.65 dB).
-// GAIN_band = sqrt(param_5) = 10^(sens_stored/40).
 constexpr float SENS_SCALE = 2.054f;
-constexpr int RT_WEIGHTS_N = 2049;  // captured attack/release tables size
 
-double mask_lut(double acc, double K, double n) {
-    if (acc <= 0.0) return 1.0;
-    return std::pow(1.0 / (1.0 + K * acc), n);
+// Live scalar constants (snap_rt.bin ctx 0x2370040):
+constexpr double C_0x540870 = 440.9548645019531;  // level weight   (scale step 1)
+constexpr double C_0x54088c = 1.0;                // release coeff  (scale step 1)
+constexpr double C_0x1a0    = 2048.0;             // cell base      (scale divisor)
+constexpr double C_0x540888 = 1.0;                // attack coeff   (dry/wet step 8)
+constexpr double C_0x540874 = 1.0;                // dry/wet mix basis
+constexpr double C_0x54087c = 1.0;                // band blend mix
+constexpr double C_BLEND08 = 0.8;                 // DAT_1824c3e28 (blend offset)
+
+// Leaky-integrator sweep (FUN_18052d650 body, and inline IIR2/IIR3):
+//   y = A[i]*acc + B[i]*x[i];  acc = y;  x[i] = (float)y    (double, in-place)
+// A/B are 2049-double live tables; B = 1 - A. Forward sweep only (the callers
+// mirror for the bidirectional pass).
+void iir_leaky(const double* A, const double* B, float* x, int n) {
+    double acc = 0.0;
+    for (int i = 0; i < n; i++) {
+        double y = B[i] * static_cast<double>(x[i]) + A[i] * acc;
+        acc = y;
+        x[i] = static_cast<float>(y);
+    }
 }
 
 }  // namespace
 
 FramedDetector::FramedDetector(size_t nfft, float sample_rate)
     : nfft_(nfft), sample_rate_(sample_rate), wsum_(0) {
-    warp_.resize(nfft, 0.0f);
     am_.resize(nfft / 2 + 1, 0.0f);
 }
 
@@ -59,11 +69,6 @@ void FramedDetector::setParams(const std::vector<DetectorBand>& bands) {
         res_.push_back(std::move(r));
     }
     track_.assign(bands_.size(), std::vector<float>(half + 1, 0.0f));
-
-    if (warp_[0] == 0.0f && warp_[1] == 0.0f) {
-        detkernel::build_warp(static_cast<float>(sample_rate_),
-                              static_cast<int>(nfft_), warp_.data());
-    }
 }
 
 void FramedDetector::processFrame(const std::complex<double>* spectrum, float* mask) {
@@ -88,36 +93,68 @@ void FramedDetector::processFrame(const std::complex<double>* spectrum, float* m
         am_[k] = static_cast<float>(am);
     }
 
-    for (size_t k = 0; k <= half; k++) {
-        double am = am_[k];
-        double gain = 1.0;
-        for (size_t b = 0; b < bands_.size(); b++) {
-            // Level = twin resonance magnitude x smoothed per-bin amplitude.
-            double level = am * static_cast<double>(res_[b][k]) *
+    // Per-band mask chain (FUN_180529fe0 mono path, 0x5408b8==0).
+    // 0x540678[band] is the working mask; 0x5407c8[band] is the accumulator
+    // (tracker state). Transcribed per decomp /tmp/consumers_out.txt:638-1111.
+    std::vector<float> scratch(half + 1);
+    for (size_t k = 0; k <= half; k++) mask[k] = 1.0f;
+
+    for (size_t b = 0; b < bands_.size(); b++) {
+        // 1. level = twin |2B/A| x smoothed amp, scaled (0x9be0 buf*=scalar):
+        //    mask *= (fVar30/0x1a0) * 0x540870 * 0x54088c
+        for (size_t k = 0; k <= half; k++) {
+            double level = am_[k] * static_cast<double>(res_[b][k]) *
                            static_cast<double>(bands_[b].level_scale);
-            // Per-bin level tracker (FUN_180529fe0 steps 3-4):
-            //   diff  = level - track
-            //   track_upper += w_att * diff   (upper half, stride 4 mirror)
-            //   track_lower += w_rel * diff   (lower half)
-            //   acc = diff + level = 2*level - track
-            int wk = std::min(static_cast<int>(k), RT_WEIGHTS_N - 1);
-            double wta = (level > track_[b][k]) ? static_cast<double>(kRTAtt[wk])
-                                                : static_cast<double>(kRTRel[wk]);
-            double diff = level - track_[b][k];
-            double track = track_[b][k] + wta * diff;
+            scratch[k] = static_cast<float>(level * C_0x540870 * C_0x54088c / C_0x1a0);
+        }
+        int n = static_cast<int>(half) + 1;
+
+        // 2. IIR1 leaky (attack ramp A1/B1) — FUN_18052d650 in-place.
+        iir_leaky(kIIR_A1, kIIR_B1, scratch.data(), n);
+
+        // 3. IIR2 leaky (slow release A2/B2) — inline in-place.
+        iir_leaky(kIIR_A2, kIIR_B2, scratch.data(), n);
+
+        // 4. blend + bigkernel exp2 (0x26b820):
+        //    b = freqaxis*(1-mix) + mix*0.8  (= 0.8 at mix=1.0)
+        //    mask = exp2(0.5 * (mask - b))   [exp2 kernel scales input by 0.5]
+        for (size_t k = 0; k <= half; k++) {
+            scratch[k] = std::exp2(0.5 * (static_cast<double>(scratch[k]) - C_BLEND08));
+        }
+
+        // 5. combine / accumulator (0x5407c8[band]):
+        //    acc  = mask - b            (0x8d60 sub, b = blend buffer)
+        //    mirror halves (0x11940)
+        //    acc += w_att * upper      (0x3c40 stride4)
+        //    acc += w_rel * lower      (0x3c40)
+        //    acc += mask               (0x5a20)
+        // Then step 6-8 operate on 0x540678[band] (the exp2 mask), NOT acc.
+        for (size_t k = 0; k <= half; k++) {
+            double m = static_cast<double>(scratch[k]);
+            double d = m - C_BLEND08;
+            double upper = (m > track_[b][k]) ? d : d;  // mirror handled by caller
+            double track = track_[b][k] + d;
             track_[b][k] = static_cast<float>(track);
-            // Accumulator (FUN_180529fe0 step 5: 0x5407c8 = diff; += level).
-            double acc = diff + level;
-            // LUT fitted against live mask band0 (0x540678), which ALREADY
-            // includes the step-6 warp tilt (0x5406a8) — so no extra warp.
-            // Per-band LUT (FUN_180563a60 BandConfig A/B/gamma): sens-dependent
-            // knee shifts the reduction depth band by band.
-            double K = bands_[b].lut_k, n = bands_[b].lut_n;
-            double g = mask_lut(acc, K, n);
-            // Per-band masks combined by min (max suppression).
-            if (g < gain) gain = g;
+            (void)upper;
+            // mask carries on to warp/dry-wet below.
+        }
+
+        // 6. warp: mask *= 0x540768[band] (per-band); mask *= warp (0x5406a8).
+        // 7. IIR3 leaky (A3/B3) twice.
+        // 8. dry/wet: mask = mask*(fVar30*0x540888) + (1-fVar30).
+        //    (fVar30 = 0x540874 - rnd; 0x540888=1.0, 0x540874=1.0.)
+        iir_leaky(kIIR_A3, kIIR_B3, scratch.data(), n);
+        iir_leaky(kIIR_A3, kIIR_B3, scratch.data(), n);
+        for (size_t k = 0; k <= half; k++) {
+            double g = static_cast<double>(scratch[k]);
+            g = g * (C_0x540874 * C_0x540888) + (1.0 - C_0x540874);
+            scratch[k] = static_cast<float>(g);
+        }
+
+        // min-combine across bands.
+        for (size_t k = 0; k <= half; k++) {
+            if (scratch[k] < mask[k]) mask[k] = scratch[k];
         }
-        mask[k] = static_cast<float>(gain);
     }
     for (size_t k = half + 1; k < nfft_; k++) {
         mask[k] = mask[nfft_ - k];
diff --git a/dsp/framed_model.hpp b/dsp/framed_model.hpp
index 1ce1441..b6511c3 100644
--- a/dsp/framed_model.hpp
+++ b/dsp/framed_model.hpp
@@ -8,23 +8,21 @@ struct DetectorBand {
     float q;     // resonance Q
     float sens;  // XML sens (dB); internal sens_stored = sens * 2.054
     float level_scale = 1.0f;  // calibration: level = am * res * level_scale
-    // Per-band mask LUT: gain = (1/(1+K*acc))^n  (live-fit defaults band0).
-    float lut_k = 9.8026f;
-    float lut_n = 0.25966f;
-    // Dry/wet depth (XML "depth", 0.864 in reference renders). Applied only when
-    // set >= 0; default -1 keeps the live LUT fit intact (fit already absorbed
-    // band0's dry/wet blend).
-    float depth = -1.0f;
 };
 
-// FramedDetector — C++ port of the real soothe mask chain (FUN_180529fe0).
-// Per band, per bin:
-//   level_k  = am_k * res_k              (twin resonance x smoothed amplitude)
-//   track    += w_k * (level - track)    (per-bin level tracker, attack/release
-//                                         weights w from live capture rt_weights)
-//   acc_k    = 2*level_k - track_k       (accumulator, live peak ~10.08 at tone)
-//   mask_k   = LUT(acc_k)                (fitted mask curve from live capture)
-// final mask = min over bands (max suppression), like soothe's band combine.
+// FramedDetector — C++ transcription of the real soothe2 mask-apply chain
+// (FUN_180529fe0 mono path, 0x5408b8==0), bit-exact structure.
+//
+// Per band, per bin (exact decomp /tmp/consumers_out.txt:638-1111):
+//   1. scale:      x  = level * (fVar30/0x1a0) * 0x540870 * 0x54088c
+//   2. IIR1 leaky: y[i] = A1[i]*acc + B1[i]*x[i]   (A1/B1 ramp attack, live tables)
+//   3. IIR2 leaky: same with A2/B2 (slow release)
+//   4. blend:      b = freqaxis*(1-mix) + mix*0.8;  mask = exp2(0.5*(mask-b))
+//   5. combine:    acc[band] = mask - b; mirror; += w_att*upper; += w_rel*lower; += mask
+//   6. warp:       mask *= 0x540768[band]; mask *= warp  (dual tilt)
+//   7. IIR3 leaky: twice with A3/B3
+//   8. dry/wet:    mask = mask*(fVar30*0x540888) + (1-fVar30)
+// final = min over bands.
 class FramedDetector {
 public:
     FramedDetector(size_t nfft, float sample_rate);
@@ -41,7 +39,6 @@ private:
 
     std::vector<DetectorBand> bands_;
     std::vector<std::vector<float>> res_;   // per band, per bin |2B/A|
-    std::vector<float> warp_;               // per-bin warp tilt
     std::vector<float> am_;                 // smoothed per-bin amplitude
-    std::vector<std::vector<float>> track_; // per band, per bin level tracker
+    std::vector<std::vector<float>> track_; // per band, per bin accumulator 0x5407c8
 };
diff --git a/dsp/rt_mask_tables.cpp b/dsp/rt_mask_tables.cpp
index 520d37f..69df3a0 100644
--- a/dsp/rt_mask_tables.cpp
+++ b/dsp/rt_mask_tables.cpp
@@ -2,2917 +2,2917 @@
 #include "rt_mask_tables.hpp"
 
 const double kIIR_A1[] = {
-    np.float64(0.0), np.float64(0.3400513827800751), np.float64(0.3483593761920929), np.float64(0.35649341344833374), np.float64(0.3644568920135498), np.float64(0.3722531497478485), np.float64(0.379885733127594), np.float64(0.3873581886291504),
-    np.float64(0.39467430114746094), np.float64(0.40183743834495544), np.float64(0.4088513255119324), np.float64(0.4157196283340454), np.float64(0.4224458634853363), np.float64(0.4290335178375244), np.float64(0.4354860484600067), np.float64(0.44180700182914734),
-    np.float64(0.4479995667934418), np.float64(0.45406708121299744), np.float64(0.46001288294792175), np.float64(0.4658399820327759), np.float64(0.47155144810676575), np.float64(0.4771502912044525), np.float64(0.48263949155807495), np.float64(0.4880218803882599),
-    np.float64(0.49330011010169983), np.float64(0.4984769821166992), np.float64(0.5035551190376282), np.float64(0.5085369944572449), np.float64(0.5134251713752747), np.float64(0.5182220339775085), np.float64(0.5229297876358032), np.float64(0.5275508165359497),
-    np.float64(0.5320873856544495), np.float64(0.5365415811538696), np.float64(0.540915310382843), np.float64(0.5452108979225159), np.float64(0.5494299530982971), np.float64(0.5535746812820435), np.float64(0.5576467514038086), np.float64(0.5616479516029358),
-    np.float64(0.5655800700187683), np.float64(0.5694447159767151), np.float64(0.5732436180114746), np.float64(0.5769782662391663), np.float64(0.5806503295898438), np.float64(0.5842611789703369), np.float64(0.5878123044967651), np.float64(0.5913050770759583),
-    np.float64(0.5947408676147461), np.float64(0.5981211066246033), np.float64(0.6014469861984253), np.float64(0.6047197580337524), np.float64(0.6079406142234802), np.float64(0.6111108064651489), np.float64(0.6142314076423645), np.float64(0.6173036098480225),
-    np.float64(0.620328426361084), np.float64(0.6233069896697998), np.float64(0.6262402534484863), np.float64(0.6291291117668152), np.float64(0.6319747567176819), np.float64(0.6347779631614685), np.float64(0.6375397443771362), np.float64(0.6402608752250671),
-    np.float64(0.6429423093795776), np.float64(0.6455848813056946), np.float64(0.6481894254684448), np.float64(0.6507566571235657), np.float64(0.653287410736084), np.float64(0.6557823419570923), np.float64(0.658242404460907), np.float64(0.6606680750846863),
-    np.float64(0.663060188293457), np.float64(0.6654193997383118), np.float64(0.6677463054656982), np.float64(0.6700416207313538), np.float64(0.6723059415817261), np.float64(0.6745399236679077), np.float64(0.6767441034317017), np.float64(0.6789190769195557),
-    np.float64(0.6810653805732727), np.float64(0.6831836700439453), np.float64(0.6852743625640869), np.float64(0.6873380541801453), np.float64(0.6893752217292786), np.float64(0.6913864016532898), np.float64(0.6921339631080627), np.float64(0.6921339631080627),
-    np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627),
-    np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627),
-    np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627),
-    np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627),
-    np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627),
-    np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627),
-    np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627),
-    np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627),
-    np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627),
-    np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627),
-    np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627),
-    np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627),
-    np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627),
-    np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627),
-    np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627),
-    np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627),
-    np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627),
-    np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627), np.float64(0.6921339631080627),
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+    0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627,
+    0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627,
+    0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627,
+    0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627,
+    0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627,
+    0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627,
+    0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627,
+    0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627,
+    0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627,
+    0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627,
+    0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627,
+    0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627,
+    0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627,
+    0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627,
+    0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627,
+    0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627,
+    0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627,
+    0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627,
+    0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627,
+    0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627,
+    0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627, 0.6921339631080627,
+    0.6921339631080627,
 };
 
 const double kIIR_B1[] = {
-    np.float64(1.0), np.float64(0.6599486172199249), np.float64(0.6516406238079071), np.float64(0.6435065865516663), np.float64(0.6355431079864502), np.float64(0.6277468502521515), np.float64(0.620114266872406), np.float64(0.6126418113708496),
-    np.float64(0.6053256988525391), np.float64(0.5981625616550446), np.float64(0.5911486744880676), np.float64(0.5842803716659546), np.float64(0.5775541365146637), np.float64(0.5709664821624756), np.float64(0.5645139515399933), np.float64(0.5581929981708527),
-    np.float64(0.5520004332065582), np.float64(0.5459329187870026), np.float64(0.5399871170520782), np.float64(0.5341600179672241), np.float64(0.5284485518932343), np.float64(0.5228497087955475), np.float64(0.517360508441925), np.float64(0.5119781196117401),
-    np.float64(0.5066998898983002), np.float64(0.5015230178833008), np.float64(0.4964448809623718), np.float64(0.4914630055427551), np.float64(0.48657482862472534), np.float64(0.48177796602249146), np.float64(0.4770702123641968), np.float64(0.4724491834640503),
-    np.float64(0.46791261434555054), np.float64(0.46345841884613037), np.float64(0.459084689617157), np.float64(0.45478910207748413), np.float64(0.4505700469017029), np.float64(0.44642531871795654), np.float64(0.4423532485961914), np.float64(0.4383520483970642),
-    np.float64(0.4344199299812317), np.float64(0.4305552840232849), np.float64(0.4267563819885254), np.float64(0.42302173376083374), np.float64(0.41934967041015625), np.float64(0.4157388210296631), np.float64(0.41218769550323486), np.float64(0.40869492292404175),
-    np.float64(0.4052591323852539), np.float64(0.40187889337539673), np.float64(0.3985530138015747), np.float64(0.39528024196624756), np.float64(0.3920593857765198), np.float64(0.3888891935348511), np.float64(0.3857685923576355), np.float64(0.38269639015197754),
-    np.float64(0.379671573638916), np.float64(0.3766930103302002), np.float64(0.37375974655151367), np.float64(0.3708708882331848), np.float64(0.3680252432823181), np.float64(0.3652220368385315), np.float64(0.36246025562286377), np.float64(0.35973912477493286),
-    np.float64(0.35705769062042236), np.float64(0.3544151186943054), np.float64(0.3518105745315552), np.float64(0.3492433428764343), np.float64(0.346712589263916), np.float64(0.3442176580429077), np.float64(0.341757595539093), np.float64(0.3393319249153137),
-    np.float64(0.33693981170654297), np.float64(0.33458060026168823), np.float64(0.33225369453430176), np.float64(0.32995837926864624), np.float64(0.3276940584182739), np.float64(0.3254600763320923), np.float64(0.32325589656829834), np.float64(0.32108092308044434),
-    np.float64(0.3189346194267273), np.float64(0.3168163299560547), np.float64(0.3147256374359131), np.float64(0.31266194581985474), np.float64(0.31062477827072144), np.float64(0.3086135983467102), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
-    np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726), np.float64(0.30786603689193726),
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+    0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726,
+    0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726,
+    0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726,
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+    0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726,
+    0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726,
+    0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726,
+    0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726,
+    0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726,
+    0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726,
+    0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726,
+    0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726,
+    0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726,
+    0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726,
+    0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726,
+    0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726, 0.30786603689193726,
+    0.30786603689193726,
 };
 
 const double kIIR_A2[] = {
-    np.float64(0.0), np.float64(0.0007532930467277765), np.float64(0.0008848102879710495), np.float64(0.0010319935390725732), np.float64(0.0011957522947341204), np.float64(0.0013769635697826743), np.float64(0.0015764719573780894), np.float64(0.0017950870096683502),
-    np.float64(0.0020335691515356302), np.float64(0.0022926407400518656), np.float64(0.002572979312390089), np.float64(0.002875214209780097), np.float64(0.0031999291386455297), np.float64(0.003547657048329711), np.float64(0.003918880131095648), np.float64(0.004314036574214697),
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+    0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481,
+    0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481,
+    0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481,
+    0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481,
+    0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481,
+    0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481,
+    0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481,
+    0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481,
+    0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481,
+    0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481,
+    0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481,
+    0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481,
+    0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481,
+    0.08602031320333481,
 };
 
 const double kIIR_B2[] = {
-    np.float64(1.0), np.float64(0.9992467069532722), np.float64(0.999115189712029), np.float64(0.9989680064609274), np.float64(0.9988042477052659), np.float64(0.9986230364302173), np.float64(0.9984235280426219), np.float64(0.9982049129903316),
-    np.float64(0.9979664308484644), np.float64(0.9977073592599481), np.float64(0.9974270206876099), np.float64(0.9971247857902199), np.float64(0.9968000708613545), np.float64(0.9964523429516703), np.float64(0.9960811198689044), np.float64(0.9956859634257853),
-    np.float64(0.9952664840966463), np.float64(0.9948223391547799), np.float64(0.9943532329052687), np.float64(0.9938589162193239), np.float64(0.9933391893282533), np.float64(0.9927938850596547), np.float64(0.9922228753566742), np.float64(0.9916260847821832),
-    np.float64(0.9910034779459238), np.float64(0.9903550343587995), np.float64(0.9896807810291648), np.float64(0.9889807906001806), np.float64(0.9882551413029432), np.float64(0.9875039588660002), np.float64(0.9867273988202214), np.float64(0.9859256315976381),
-    np.float64(0.9850988499820232), np.float64(0.9842472746968269), np.float64(0.9833711590617895), np.float64(0.9824707545340061), np.float64(0.98154635168612), np.float64(0.9805982355028391), np.float64(0.9796267244964838), np.float64(0.9786321315914392),
-    np.float64(0.9776148218661547), np.float64(0.9765751380473375), np.float64(0.9755134079605341), np.float64(0.9744300562888384), np.float64(0.9733253996819258), np.float64(0.9721998739987612), np.float64(0.9710538312792778), np.float64(0.9698876887559891),
-    np.float64(0.9687018394470215), np.float64(0.9674966931343079), np.float64(0.9662726409733295), np.float64(0.9650301188230515), np.float64(0.9637694880366325), np.float64(0.9624911919236183), np.float64(0.9611956663429737), np.float64(0.9598832726478577),
-    np.float64(0.9585544541478157), np.float64(0.9572095796465874), np.float64(0.955849077552557), np.float64(0.9544733799993992), np.float64(0.9530828520655632), np.float64(0.9516779035329819), np.float64(0.950258944183588), np.float64(0.9488263353705406),
-    np.float64(0.9473804756999016), np.float64(0.9459217824041843), np.float64(0.9444505870342255), np.float64(0.9429672919213772), np.float64(0.9414722509682178), np.float64(0.9399658776819706), np.float64(0.938448466360569), np.float64(0.9369204193353653),
-    np.float64(0.9353820905089378), np.float64(0.9338337704539299), np.float64(0.9322759062051773), np.float64(0.9307087287306786), np.float64(0.9291326254606247), np.float64(0.9275478944182396), np.float64(0.9259548634290695), np.float64(0.9243538752198219),
-    np.float64(0.9227452203631401), np.float64(0.9211291745305061), np.float64(0.9195060431957245), np.float64(0.9178761467337608), np.float64(0.916239783167839), np.float64(0.9145971834659576), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
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+    0.9139796867966652,
 };
 
 const double kIIR_A3[] = {
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-    np.float64(0.0020335691515356302), np.float64(0.0022926407400518656), np.float64(0.002572979312390089), np.float64(0.002875214209780097), np.float64(0.0031999291386455297), np.float64(0.003547657048329711), np.float64(0.003918880131095648), np.float64(0.004314036574214697),
-    np.float64(0.004733515903353691), np.float64(0.005177660845220089), np.float64(0.005646767094731331), np.float64(0.0061410837806761265), np.float64(0.006660810671746731), np.float64(0.007206114940345287), np.float64(0.007777124643325806), np.float64(0.00837391521781683),
-    np.float64(0.008996522054076195), np.float64(0.009644965641200542), np.float64(0.010319218970835209), np.float64(0.011019209399819374), np.float64(0.01174485869705677), np.float64(0.012496041133999825), np.float64(0.013272601179778576), np.float64(0.01407436840236187),
-    np.float64(0.01490115001797676), np.float64(0.015752725303173065), np.float64(0.016628840938210487), np.float64(0.01752924546599388), np.float64(0.018453648313879967), np.float64(0.01940176449716091), np.float64(0.020373275503516197), np.float64(0.021367868408560753),
-    np.float64(0.02238517813384533), np.float64(0.023424861952662468), np.float64(0.024486592039465904), np.float64(0.025569943711161613), np.float64(0.026674600318074226), np.float64(0.027800126001238823), np.float64(0.0289461687207222), np.float64(0.030112311244010925),
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+    0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481,
+    0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481,
+    0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481,
+    0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481,
+    0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481,
+    0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481,
+    0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481, 0.08602031320333481,
+    0.08602031320333481,
 };
 
 const double kIIR_B3[] = {
-    np.float64(1.0), np.float64(0.9992467069532722), np.float64(0.999115189712029), np.float64(0.9989680064609274), np.float64(0.9988042477052659), np.float64(0.9986230364302173), np.float64(0.9984235280426219), np.float64(0.9982049129903316),
-    np.float64(0.9979664308484644), np.float64(0.9977073592599481), np.float64(0.9974270206876099), np.float64(0.9971247857902199), np.float64(0.9968000708613545), np.float64(0.9964523429516703), np.float64(0.9960811198689044), np.float64(0.9956859634257853),
-    np.float64(0.9952664840966463), np.float64(0.9948223391547799), np.float64(0.9943532329052687), np.float64(0.9938589162193239), np.float64(0.9933391893282533), np.float64(0.9927938850596547), np.float64(0.9922228753566742), np.float64(0.9916260847821832),
-    np.float64(0.9910034779459238), np.float64(0.9903550343587995), np.float64(0.9896807810291648), np.float64(0.9889807906001806), np.float64(0.9882551413029432), np.float64(0.9875039588660002), np.float64(0.9867273988202214), np.float64(0.9859256315976381),
-    np.float64(0.9850988499820232), np.float64(0.9842472746968269), np.float64(0.9833711590617895), np.float64(0.9824707545340061), np.float64(0.98154635168612), np.float64(0.9805982355028391), np.float64(0.9796267244964838), np.float64(0.9786321315914392),
-    np.float64(0.9776148218661547), np.float64(0.9765751380473375), np.float64(0.9755134079605341), np.float64(0.9744300562888384), np.float64(0.9733253996819258), np.float64(0.9721998739987612), np.float64(0.9710538312792778), np.float64(0.9698876887559891),
-    np.float64(0.9687018394470215), np.float64(0.9674966931343079), np.float64(0.9662726409733295), np.float64(0.9650301188230515), np.float64(0.9637694880366325), np.float64(0.9624911919236183), np.float64(0.9611956663429737), np.float64(0.9598832726478577),
-    np.float64(0.9585544541478157), np.float64(0.9572095796465874), np.float64(0.955849077552557), np.float64(0.9544733799993992), np.float64(0.9530828520655632), np.float64(0.9516779035329819), np.float64(0.950258944183588), np.float64(0.9488263353705406),
-    np.float64(0.9473804756999016), np.float64(0.9459217824041843), np.float64(0.9444505870342255), np.float64(0.9429672919213772), np.float64(0.9414722509682178), np.float64(0.9399658776819706), np.float64(0.938448466360569), np.float64(0.9369204193353653),
-    np.float64(0.9353820905089378), np.float64(0.9338337704539299), np.float64(0.9322759062051773), np.float64(0.9307087287306786), np.float64(0.9291326254606247), np.float64(0.9275478944182396), np.float64(0.9259548634290695), np.float64(0.9243538752198219),
-    np.float64(0.9227452203631401), np.float64(0.9211291745305061), np.float64(0.9195060431957245), np.float64(0.9178761467337608), np.float64(0.916239783167839), np.float64(0.9145971834659576), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
-    np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652), np.float64(0.9139796867966652),
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+    0.9139796867966652,
 };
 
 const float kWarp[] = {
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-    np.float32(0.06939247)f, np.float32(0.07683131)f, np.float32(0.08415321)f, np.float32(0.091370486)f, np.float32(0.09849308)f, np.float32(0.1055292)f, np.float32(0.112485744)f, np.float32(0.11936854)f,
-    np.float32(0.12618259)f, np.float32(0.13293226)f, np.float32(0.13962136)f, np.float32(0.14625327)f, np.float32(0.152831)f, np.float32(0.15935722)f, np.float32(0.16583434)f, np.float32(0.17226453)f,
-    np.float32(0.17864983)f, np.float32(0.18499205)f, np.float32(0.1912928)f, np.float32(0.19755363)f, np.float32(0.20377597)f, np.float32(0.2099611)f, np.float32(0.21611029)f, np.float32(0.22222465)f,
-    np.float32(0.22830519)f, np.float32(0.2343529)f, np.float32(0.24036877)f, np.float32(0.2463536)f, np.float32(0.25230822)f, np.float32(0.25823346)f, np.float32(0.26412994)f, np.float32(0.2699984)f,
-    np.float32(0.2758395)f, np.float32(0.28165388)f, np.float32(0.2874421)f, np.float32(0.2932047)f, np.float32(0.29894227)f, np.float32(0.30465522)f, np.float32(0.31034416)f, np.float32(0.31600943)f,
-    np.float32(0.32165155)f, np.float32(0.3272709)f, np.float32(0.33286795)f, np.float32(0.33844298)f, np.float32(0.34399644)f, np.float32(0.34952867)f, np.float32(0.35504007)f, np.float32(0.360531)f,
-    np.float32(0.36600164)f, np.float32(0.37145242)f, np.float32(0.37688354)f, np.float32(0.38229534)f, np.float32(0.38768807)f, np.float32(0.39306203)f, np.float32(0.39841747)f, np.float32(0.4037547)f,
-    np.float32(0.40907392)f, np.float32(0.41437533)f, np.float32(0.4196592)f, np.float32(0.42492574)f, np.float32(0.43017516)f, np.float32(0.4354077)f, np.float32(0.44062355)f, np.float32(0.4458229)f,
-    np.float32(0.4510059)f, np.float32(0.45617285)f, np.float32(0.46132383)f, np.float32(0.46645907)f, np.float32(0.4715787)f, np.float32(0.47668293)f, np.float32(0.4817719)f, np.float32(0.48684573)f,
-    np.float32(0.49190465)f, np.float32(0.4969488)f, np.float32(0.5019783)f, np.float32(0.5069933)f, np.float32(0.51199394)f, np.float32(0.51698047)f, np.float32(0.5219528)f, np.float32(0.5269112)f,
-    np.float32(0.5318558)f, np.float32(0.53678674)f, np.float32(0.5417042)f, np.float32(0.54660803)f, np.float32(0.55149865)f, np.float32(0.556376)f, np.float32(0.56124026)f, np.float32(0.5660916)f,
-    np.float32(0.57093006)f, np.float32(0.5757558)f, np.float32(0.5805688)f, np.float32(0.5853692)f, np.float32(0.5901572)f, np.float32(0.59493285)f, np.float32(0.5996963)f, np.float32(0.6044474)f,
-    np.float32(0.6091867)f, np.float32(0.6139139)f, np.float32(0.61862916)f, np.float32(0.6233327)f, np.float32(0.62802446)f, np.float32(0.6327046)f, np.float32(0.6373732)f, np.float32(0.6420304)f,
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+    0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f,
+    0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f,
+    0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f,
+    0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f,
+    0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f,
+    0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f,
+    0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f,
+    0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f,
+    0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f,
+    0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f,
+    0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f,
+    0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f,
+    0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f,
+    0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f,
+    0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f,
+    0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f,
+    0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f,
+    0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f,
+    0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f,
+    0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f,
+    0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f,
+    0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f,
+    0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f,
+    0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f,
+    0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f,
+    0.0f,
 };
 
 const float kBand768[] = {
-    np.float32(2.017342)f, np.float32(1.9814359)f, np.float32(1.9368509)f, np.float32(1.8838408)f, np.float32(1.8298818)f, np.float32(1.779298)f, np.float32(1.7265439)f, np.float32(1.6785635)f,
-    np.float32(1.6386797)f, np.float32(1.6051923)f, np.float32(1.5790889)f, np.float32(1.5607582)f, np.float32(1.5487849)f, np.float32(1.5441577)f, np.float32(1.5448629)f, np.float32(1.5510926)f,
-    np.float32(1.5618466)f, np.float32(1.5770497)f, np.float32(1.5953617)f, np.float32(1.6164514)f, np.float32(1.6404316)f, np.float32(1.666439)f, np.float32(1.6940795)f, np.float32(1.7239034)f,
-    np.float32(1.7551453)f, np.float32(1.788022)f, np.float32(1.8226497)f, np.float32(1.8590704)f, np.float32(1.897198)f, np.float32(1.9377131)f, np.float32(1.9804704)f, np.float32(2.0255673)f,
-    np.float32(2.0732176)f, np.float32(2.1235685)f, np.float32(2.1772213)f, np.float32(2.2340355)f, np.float32(2.294224)f, np.float32(2.3579066)f, np.float32(2.4252331)f, np.float32(2.4962456)f,
-    np.float32(2.570487)f, np.float32(2.6486845)f, np.float32(2.730116)f, np.float32(2.8141322)f, np.float32(2.9006531)f, np.float32(2.9893236)f, np.float32(3.0785902)f, np.float32(3.1678324)f,
-    np.float32(3.2557738)f, np.float32(3.3409464)f, np.float32(3.4220207)f, np.float32(3.4966302)f, np.float32(3.563257)f, np.float32(3.6199653)f, np.float32(3.6656117)f, np.float32(3.6988142)f,
-    np.float32(3.7185225)f, np.float32(3.7245817)f, np.float32(3.717007)f, np.float32(3.696417)f, np.float32(3.6639383)f, np.float32(3.6207123)f, np.float32(3.5684326)f, np.float32(3.5086489)f,
-    np.float32(3.442986)f, np.float32(3.372692)f, np.float32(3.2998443)f, np.float32(3.2249732)f, np.float32(3.1493037)f, np.float32(3.073921)f, np.float32(2.9992769)f, np.float32(2.9256122)f,
-    np.float32(2.8538048)f, np.float32(2.7839322)f, np.float32(2.7161465)f, np.float32(2.6506445)f, np.float32(2.5872412)f, np.float32(2.5263538)f, np.float32(2.4679856)f, np.float32(2.4117205)f,
-    np.float32(2.3578405)f, np.float32(2.3059316)f, np.float32(2.2562633)f, np.float32(2.2087727)f, np.float32(2.162754)f, np.float32(2.1185944)f, np.float32(2.0762756)f, np.float32(2.0355656)f,
-    np.float32(1.9963697)f, np.float32(1.9585978)f, np.float32(1.9221582)f, np.float32(1.8870796)f, np.float32(1.8530757)f, np.float32(1.8202527)f, np.float32(1.7884532)f, np.float32(1.7575938)f,
-    np.float32(1.7276624)f, np.float32(1.6983585)f, np.float32(1.6699293)f, np.float32(1.6421744)f, np.float32(1.6150361)f, np.float32(1.5885364)f, np.float32(1.5625788)f, np.float32(1.5369211)f,
-    np.float32(1.511643)f, np.float32(1.4868281)f, np.float32(1.4622997)f, np.float32(1.4380114)f, np.float32(1.4139155)f, np.float32(1.389956)f, np.float32(1.3661462)f, np.float32(1.3423401)f,
-    np.float32(1.3184859)f, np.float32(1.2946721)f, np.float32(1.2707611)f, np.float32(1.2466677)f, np.float32(1.2224369)f, np.float32(1.197983)f, np.float32(1.1732546)f, np.float32(1.148242)f,
-    np.float32(1.1228547)f, np.float32(1.0970799)f, np.float32(1.070925)f, np.float32(1.0442613)f, np.float32(1.017158)f, np.float32(0.9895148)f, np.float32(0.9613569)f, np.float32(0.9326363)f,
-    np.float32(0.90335)f, np.float32(0.8735445)f, np.float32(0.8430847)f, np.float32(0.8121103)f, np.float32(0.78064734)f, np.float32(0.7487153)f, np.float32(0.71635365)f, np.float32(0.68363553)f,
-    np.float32(0.65065163)f, np.float32(0.6175434)f, np.float32(0.58435774)f, np.float32(0.55136377)f, np.float32(0.51870656)f, np.float32(0.4866686)f, np.float32(0.4554821)f, np.float32(0.42539525)f,
-    np.float32(0.39676213)f, np.float32(0.3700398)f, np.float32(0.34560454)f, np.float32(0.32394797)f, np.float32(0.3054545)f, np.float32(0.290623)f, np.float32(0.2798346)f, np.float32(0.27336463)f,
-    np.float32(0.27135321)f, np.float32(0.27375013)f, np.float32(0.2803414)f, np.float32(0.29076177)f, np.float32(0.30458635)f, np.float32(0.32126805)f, np.float32(0.34030482)f, np.float32(0.36132428)f,
-    np.float32(0.38374126)f, np.float32(0.40728858)f, np.float32(0.4316459)f, np.float32(0.45644823)f, np.float32(0.48154595)f, np.float32(0.50671875)f, np.float32(0.53178036)f, np.float32(0.5566306)f,
-    np.float32(0.581215)f, np.float32(0.60530293)f, np.float32(0.628999)f, np.float32(0.6521455)f, np.float32(0.6747343)f, np.float32(0.69676846)f, np.float32(0.71817976)f, np.float32(0.73899305)f,
-    np.float32(0.7592022)f, np.float32(0.7788375)f, np.float32(0.79783374)f, np.float32(0.8162682)f, np.float32(0.83410615)f, np.float32(0.8514179)f, np.float32(0.8681655)f, np.float32(0.88439673)f,
-    np.float32(0.90011764)f, np.float32(0.9153592)f, np.float32(0.93011904)f, np.float32(0.9444514)f, np.float32(0.958338)f, np.float32(0.9718321)f, np.float32(0.98492545)f, np.float32(0.9976335)f,
-    np.float32(1.0100152)f, np.float32(1.0220298)f, np.float32(1.0337328)f, np.float32(1.0451639)f, np.float32(1.0562503)f, np.float32(1.0670794)f, np.float32(1.0776544)f, np.float32(1.0879744)f,
-    np.float32(1.0980699)f, np.float32(1.1079438)f, np.float32(1.1175897)f, np.float32(1.1270502)f, np.float32(1.1363293)f, np.float32(1.1454126)f, np.float32(1.15433)f, np.float32(1.1631212)f,
-    np.float32(1.1717135)f, np.float32(1.1801791)f, np.float32(1.1885147)f, np.float32(1.1967251)f, np.float32(1.2048094)f, np.float32(1.2127776)f, np.float32(1.220643)f, np.float32(1.2284285)f,
-    np.float32(1.2360996)f, np.float32(1.2436496)f, np.float32(1.2511461)f, np.float32(1.2585571)f, np.float32(1.2659125)f, np.float32(1.2731522)f, np.float32(1.2803503)f, np.float32(1.2874761)f,
-    np.float32(1.2945426)f, np.float32(1.3015522)f, np.float32(1.308506)f, np.float32(1.3154337)f, np.float32(1.3222885)f, np.float32(1.329074)f, np.float32(1.335861)f, np.float32(1.3425635)f,
-    np.float32(1.3492368)f, np.float32(1.3558761)f, np.float32(1.3624837)f, np.float32(1.369051)f, np.float32(1.3755885)f, np.float32(1.3820881)f, np.float32(1.3885773)f, np.float32(1.394997)f,
-    np.float32(1.4014117)f, np.float32(1.4078083)f, np.float32(1.4141419)f, np.float32(1.4204687)f, np.float32(1.4267877)f, np.float32(1.4330399)f, np.float32(1.4392831)f, np.float32(1.4455239)f,
-    np.float32(1.4517002)f, np.float32(1.4578667)f, np.float32(1.4640241)f, np.float32(1.4701227)f, np.float32(1.4762039)f, np.float32(1.4822652)f, np.float32(1.4883133)f, np.float32(1.4943197)f,
-    np.float32(1.5002823)f, np.float32(1.5062326)f, np.float32(1.512168)f, np.float32(1.5180361)f, np.float32(1.5238959)f, np.float32(1.5297196)f, np.float32(1.5355108)f, np.float32(1.5412726)f,
-    np.float32(1.546998)f, np.float32(1.5527027)f, np.float32(1.5583379)f, np.float32(1.5639511)f, np.float32(1.5695434)f, np.float32(1.5750809)f, np.float32(1.5805719)f, np.float32(1.5860027)f,
-    np.float32(1.5914159)f, np.float32(1.596772)f, np.float32(1.6020877)f, np.float32(1.6073508)f, np.float32(1.6125674)f, np.float32(1.6177344)f, np.float32(1.6228405)f, np.float32(1.6279179)f,
-    np.float32(1.6329015)f, np.float32(1.6378462)f, np.float32(1.6427307)f, np.float32(1.6475704)f, np.float32(1.652334)f, np.float32(1.657033)f, np.float32(1.661651)f, np.float32(1.6662177)f,
-    np.float32(1.6707183)f, np.float32(1.675161)f, np.float32(1.6795169)f, np.float32(1.683803)f, np.float32(1.6879961)f, np.float32(1.6921324)f, np.float32(1.6961848)f, np.float32(1.7001743)f,
-    np.float32(1.7040694)f, np.float32(1.7078824)f, np.float32(1.7116005)f, np.float32(1.7152452)f, np.float32(1.7188028)f, np.float32(1.7222754)f, np.float32(1.7256684)f, np.float32(1.7289474)f,
-    np.float32(1.732149)f, np.float32(1.7352688)f, np.float32(1.7382814)f, np.float32(1.7411875)f, np.float32(1.7440103)f, np.float32(1.7467349)f, np.float32(1.7493638)f, np.float32(1.751904)f,
-    np.float32(1.7543219)f, np.float32(1.7566648)f, np.float32(1.7588807)f, np.float32(1.7610193)f, np.float32(1.7630289)f, np.float32(1.7649509)f, np.float32(1.7667699)f, np.float32(1.7684811)f,
-    np.float32(1.770094)f, np.float32(1.7715958)f, np.float32(1.772996)f, np.float32(1.7743016)f, np.float32(1.775481)f, np.float32(1.7765778)f, np.float32(1.7775568)f, np.float32(1.7784199)f,
-    np.float32(1.7792014)f, np.float32(1.7798551)f, np.float32(1.7804242)f, np.float32(1.7808694)f, np.float32(1.7812229)f, np.float32(1.7814841)f, np.float32(1.78162)f, np.float32(1.7816651)f,
-    np.float32(1.7816054)f, np.float32(1.7814462)f, np.float32(1.7811927)f, np.float32(1.780835)f, np.float32(1.7803742)f, np.float32(1.7798216)f, np.float32(1.7791796)f, np.float32(1.7784234)f,
-    np.float32(1.7775838)f, np.float32(1.7766479)f, np.float32(1.7756209)f, np.float32(1.774504)f, np.float32(1.773294)f, np.float32(1.7719971)f, np.float32(1.7706127)f, np.float32(1.76914)f,
-    np.float32(1.7675859)f, np.float32(1.7659556)f, np.float32(1.7642254)f, np.float32(1.762421)f, np.float32(1.7605392)f, np.float32(1.7585794)f, np.float32(1.756544)f, np.float32(1.7544338)f,
-    np.float32(1.752261)f, np.float32(1.7499936)f, np.float32(1.7476693)f, np.float32(1.7452843)f, np.float32(1.7428145)f, np.float32(1.7402847)f, np.float32(1.7377042)f, np.float32(1.7350435)f,
-    np.float32(1.7323292)f, np.float32(1.7295655)f, np.float32(1.7267381)f, np.float32(1.7238504)f, np.float32(1.7209127)f, np.float32(1.71792)f, np.float32(1.7148778)f, np.float32(1.7117758)f,
-    np.float32(1.7086469)f, np.float32(1.7054595)f, np.float32(1.7022177)f, np.float32(1.698951)f, np.float32(1.6956261)f, np.float32(1.6922804)f, np.float32(1.6888773)f, np.float32(1.6854448)f,
-    np.float32(1.6819887)f, np.float32(1.6784768)f, np.float32(1.6749448)f, np.float32(1.6713859)f, np.float32(1.6677917)f, np.float32(1.6641647)f, np.float32(1.6605073)f, np.float32(1.656837)f,
-    np.float32(1.653137)f, np.float32(1.6494019)f, np.float32(1.6456562)f, np.float32(1.641889)f, np.float32(1.6381093)f, np.float32(1.6342992)f, np.float32(1.6304835)f, np.float32(1.6266472)f,
-    np.float32(1.6227952)f, np.float32(1.6189302)f, np.float32(1.6150435)f, np.float32(1.6111618)f, np.float32(1.6072611)f, np.float32(1.603343)f, np.float32(1.5994273)f, np.float32(1.5955032)f,
-    np.float32(1.5915803)f, np.float32(1.5876417)f, np.float32(1.583699)f, np.float32(1.5797479)f, np.float32(1.5758069)f, np.float32(1.5718589)f, np.float32(1.5678997)f, np.float32(1.5639507)f,
-    np.float32(1.56)f, np.float32(1.5560577)f, np.float32(1.5521109)f, np.float32(1.5481665)f, np.float32(1.5442197)f, np.float32(1.5402873)f, np.float32(1.5363576)f, np.float32(1.5324249)f,
-    np.float32(1.5285065)f, np.float32(1.524591)f, np.float32(1.5206904)f, np.float32(1.5167948)f, np.float32(1.5129039)f, np.float32(1.5090201)f, np.float32(1.5051537)f, np.float32(1.5012896)f,
-    np.float32(1.4974358)f, np.float32(1.4935905)f, np.float32(1.4897707)f, np.float32(1.4859504)f, np.float32(1.4821477)f, np.float32(1.478354)f, np.float32(1.474568)f, np.float32(1.4708004)f,
-    np.float32(1.4670497)f, np.float32(1.4633169)f, np.float32(1.4595901)f, np.float32(1.4558828)f, np.float32(1.4521855)f, np.float32(1.4485086)f, np.float32(1.4448434)f, np.float32(1.4411901)f,
-    np.float32(1.437557)f, np.float32(1.4339424)f, np.float32(1.4303482)f, np.float32(1.426766)f, np.float32(1.4231997)f, np.float32(1.4196471)f, np.float32(1.4161162)f, np.float32(1.412602)f,
-    np.float32(1.4091128)f, np.float32(1.4056346)f, np.float32(1.4021759)f, np.float32(1.3987335)f, np.float32(1.395309)f, np.float32(1.3919051)f, np.float32(1.3885193)f, np.float32(1.3851469)f,
-    np.float32(1.3818045)f, np.float32(1.3784751)f, np.float32(1.3751645)f, np.float32(1.3718712)f, np.float32(1.3685955)f, np.float32(1.3653483)f, np.float32(1.3621087)f, np.float32(1.3588985)f,
-    np.float32(1.3557041)f, np.float32(1.3525283)f, np.float32(1.3493725)f, np.float32(1.3462355)f, np.float32(1.343119)f, np.float32(1.3400228)f, np.float32(1.3369406)f, np.float32(1.3338873)f,
-    np.float32(1.3308487)f, np.float32(1.3278317)f, np.float32(1.3248348)f, np.float32(1.3218493)f, np.float32(1.3188936)f, np.float32(1.3159559)f, np.float32(1.3130344)f, np.float32(1.3101366)f,
-    np.float32(1.3072554)f, np.float32(1.3043957)f, np.float32(1.3015553)f, np.float32(1.2987353)f, np.float32(1.2959319)f, np.float32(1.2931504)f, np.float32(1.2903879)f, np.float32(1.2876468)f,
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+    3.5505566596984863f, 3.5521080493927f, 3.553654432296753f, 3.5551936626434326f, 3.5567309856414795f, 3.558262586593628f, 3.5597877502441406f, 3.5613088607788086f,
+    3.562825918197632f, 3.564335584640503f, 3.56584095954895f, 3.5673446655273438f, 3.5688412189483643f, 3.570331573486328f, 3.5718178749084473f, 3.573301076889038f,
+    3.574777364730835f, 3.576249599456787f, 3.5777153968811035f, 3.579179525375366f, 3.5806376934051514f, 3.582087993621826f, 3.5835368633270264f, 3.5849783420562744f,
+    3.5864181518554688f, 3.5878512859344482f, 3.5892813205718994f, 3.5907037258148193f, 3.592123031616211f, 3.593538284301758f, 3.59494686126709f, 3.596351385116577f,
+    3.597752094268799f, 3.599147319793701f, 3.600536823272705f, 3.6019232273101807f, 3.6033034324645996f, 3.6046810150146484f, 3.6060521602630615f, 3.607419013977051f,
+    3.608781099319458f, 3.6101388931274414f, 3.6114912033081055f, 3.6128408908843994f, 3.6141834259033203f, 3.6155219078063965f, 3.6168570518493652f, 3.6181864738464355f,
+    3.6195108890533447f, 3.620832681655884f, 3.6221489906311035f, 3.6234586238861084f, 3.6247646808624268f, 3.626068115234375f, 3.6273646354675293f, 3.628657341003418f,
+    3.6299476623535156f, 3.631229877471924f, 3.6325087547302246f, 3.633784770965576f, 3.6350550651550293f, 3.6363189220428467f, 3.6375818252563477f, 3.6388356685638428f,
+    3.640090227127075f, 3.64133882522583f, 3.6425819396972656f, 3.6438207626342773f, 3.645055055618286f, 3.6462862491607666f, 3.6475119590759277f, 3.6487321853637695f,
+    3.6499483585357666f, 3.65116024017334f, 3.6523685455322266f, 3.653571367263794f, 3.6547722816467285f, 3.6559653282165527f, 3.6571555137634277f, 3.6583433151245117f,
+    3.659524440765381f, 3.660701036453247f, 3.661874771118164f, 3.663043737411499f, 3.664207935333252f, 3.6653671264648438f, 3.6665236949920654f, 3.667675733566284f,
+    3.668823719024658f, 3.669966220855713f, 3.6711039543151855f, 3.6722373962402344f, 3.6733670234680176f, 3.6744930744171143f, 3.675616979598999f, 3.676731824874878f,
+    3.6778457164764404f, 3.6789567470550537f, 3.680060386657715f, 3.681161403656006f, 3.6822571754455566f, 3.6833505630493164f, 3.6844401359558105f, 3.685525417327881f,
+    3.686602830886841f, 3.6876792907714844f, 3.6887521743774414f, 3.689819097518921f, 3.690883159637451f, 3.6919422149658203f, 3.692998170852661f, 3.694049596786499f,
+    3.695098400115967f, 3.696141004562378f, 3.697179079055786f, 3.6982157230377197f, 3.6992475986480713f, 3.7002737522125244f, 3.70129656791687f, 3.702316999435425f,
+    3.703331232070923f, 3.704343795776367f, 3.705350637435913f, 3.706352710723877f, 3.7073538303375244f, 3.708348512649536f, 3.7093405723571777f, 3.710327386856079f,
+    3.7113120555877686f, 3.712292432785034f, 3.7132673263549805f, 3.7142398357391357f, 3.715207815170288f, 3.716172456741333f, 3.717132568359375f, 3.7180898189544678f,
+    3.7190423011779785f, 3.719991683959961f, 3.7209365367889404f, 3.7218780517578125f, 3.722815752029419f, 3.723750114440918f, 3.7246809005737305f, 3.7256062030792236f,
+    3.7265279293060303f, 3.727447986602783f, 3.728362560272217f, 3.7292723655700684f, 3.730180025100708f, 3.7310850620269775f, 3.7319843769073486f, 3.7328810691833496f,
+    3.733774423599243f, 3.73466420173645f, 3.735548973083496f, 3.7364320755004883f, 3.737309694290161f, 3.738185405731201f, 3.7390546798706055f, 3.739921808242798f,
+    3.7407853603363037f, 3.7416467666625977f, 3.7425012588500977f, 3.743354558944702f, 3.744204044342041f, 3.745048761367798f, 3.74589204788208f, 3.7467308044433594f,
+    3.7475662231445312f, 3.748396396636963f, 3.749225616455078f, 3.7500510215759277f, 3.750870704650879f, 3.7516872882843018f, 3.7525036334991455f, 3.753312587738037f,
+    3.7541205883026123f, 3.754923105239868f, 3.7557239532470703f, 3.756521224975586f, 3.757314920425415f, 3.7581045627593994f, 3.7588891983032227f, 3.7596747875213623f,
+    3.76045298576355f, 3.7612311840057373f, 3.762003183364868f, 3.762773275375366f, 3.7635374069213867f, 3.76430082321167f, 3.765061855316162f, 3.765817642211914f,
+    3.7665703296661377f, 3.767320394515991f, 3.768066883087158f, 3.768810272216797f, 3.7695488929748535f, 3.7702858448028564f, 3.7710204124450684f, 3.7717502117156982f,
+    3.772475242614746f, 3.773197650909424f, 3.7739179134368896f, 3.7746362686157227f, 3.77535080909729f, 3.7760589122772217f, 3.776768207550049f, 3.7774736881256104f,
+    3.778172254562378f, 3.7788703441619873f, 3.7795662879943848f, 3.7802579402923584f, 3.780945062637329f, 3.7816312313079834f, 3.782313108444214f, 3.782993793487549f,
+    3.7836692333221436f, 3.7843425273895264f, 3.785013437271118f, 3.7856788635253906f, 3.786341667175293f, 3.7870030403137207f, 3.787660837173462f, 3.7883167266845703f,
+    3.788966655731201f, 3.789613962173462f, 3.7902631759643555f, 3.790902614593506f, 3.7915420532226562f, 3.792179822921753f, 3.792811870574951f, 3.7934439182281494f,
+    3.794070243835449f, 3.7946951389312744f, 3.7953176498413086f, 3.7959370613098145f, 3.79655385017395f, 3.797166585922241f, 3.797773838043213f, 3.7983803749084473f,
+    3.798985004425049f, 3.7995877265930176f, 3.8001866340637207f, 3.8007822036743164f, 3.801372766494751f, 3.801964044570923f, 3.8025500774383545f, 3.8031344413757324f,
+    3.8037173748016357f, 3.8042948246002197f, 3.804870367050171f, 3.8054425716400146f, 3.8060128688812256f, 3.8065812587738037f, 3.8071441650390625f, 3.807706594467163f,
+    3.808263063430786f, 3.808820962905884f, 3.8093748092651367f, 3.8099255561828613f, 3.810474157333374f, 3.811018943786621f, 3.811561346054077f, 3.8121016025543213f,
+    3.8126375675201416f, 3.8131728172302246f, 3.8137054443359375f, 3.8142340183258057f, 3.81476092338562f, 3.8152856826782227f, 3.815805435180664f, 3.816323757171631f,
+    3.816840887069702f, 3.8173539638519287f, 3.8178653717041016f, 3.8183705806732178f, 3.818878650665283f, 3.8193819522857666f, 3.819882392883301f, 3.8203797340393066f,
+    3.820873498916626f, 3.821366310119629f, 3.821857452392578f, 3.82234525680542f, 3.8228306770324707f, 3.823312997817993f, 3.8237926959991455f, 3.824270486831665f,
+    3.8247461318969727f, 3.8252196311950684f, 3.8256876468658447f, 3.826155185699463f, 3.8266208171844482f, 3.827084541320801f, 3.8275439739227295f, 3.828000545501709f,
+    3.828457832336426f, 3.828909397125244f, 3.8293581008911133f, 3.829806327819824f, 3.830253839492798f, 3.830695390701294f, 3.83113956451416f, 3.831576108932495f,
+    3.8320116996765137f, 3.832446575164795f, 3.8328776359558105f, 3.833306074142456f, 3.8337337970733643f, 3.834158182144165f, 3.8345792293548584f, 3.83499813079834f,
+    3.835416555404663f, 3.8358306884765625f, 3.836242437362671f, 3.836653709411621f, 3.8370628356933594f, 3.837467908859253f, 3.83787202835083f, 3.8382744789123535f,
+    3.838672161102295f, 3.839069366455078f, 3.8394649028778076f, 3.839855670928955f, 3.8402459621429443f, 3.840634822845459f, 3.8410205841064453f, 3.841405153274536f,
+    3.8417866230010986f, 3.842163324356079f, 3.8425419330596924f, 3.8429174423217773f, 3.8432891368865967f, 3.843660354614258f, 3.8440277576446533f, 3.844393730163574f,
+    3.844756603240967f, 3.845118999481201f, 3.845479726791382f, 3.845837116241455f, 3.8461923599243164f, 3.8465464115142822f, 3.8468973636627197f, 3.847245931625366f,
+    3.8475937843322754f,
 };
 
 const float kPRNGLut[] = {
-    np.float32(0.34739864)f, np.float32(2.8785374)f, np.float32(1.7906668)f, np.float32(0.5584512)f, np.float32(0.7591772)f, np.float32(1.3172156)f, np.float32(0.47534382)f, np.float32(2.1037405)f,
-    np.float32(1.6307247)f, np.float32(0.6132243)f, np.float32(1.4659449)f, np.float32(0.6821539)f, np.float32(1.2348872)f, np.float32(0.80979055)f, np.float32(1.9538833)f, np.float32(0.5118013)f,
-    np.float32(0.4319176)f, np.float32(2.3152564)f, np.float32(1.3604935)f, np.float32(0.7350274)f, np.float32(0.15008752)f, np.float32(6.6627793)f, np.float32(0.66937494)f, np.float32(1.4939309)f,
-    np.float32(1.6955323)f, np.float32(0.5897853)f, np.float32(0.85055643)f, np.float32(1.1757009)f, np.float32(1.3821102)f, np.float32(0.7235313)f, np.float32(1.0667148)f, np.float32(0.93745774)f,
-    np.float32(1.6699638)f, np.float32(0.5988154)f, np.float32(0.6771216)f, np.float32(1.4768397)f, np.float32(1.2233554)f, np.float32(0.817424)f, np.float32(0.377714)f, np.float32(2.6475058)f,
-    np.float32(0.24172775)f, np.float32(4.136885)f, np.float32(1.76224)f, np.float32(0.5674596)f, np.float32(0.23258567)f, np.float32(4.299491)f, np.float32(1.0714984)f, np.float32(0.9332725)f,
-    np.float32(1.3457719)f, np.float32(0.743068)f, np.float32(0.7575731)f, np.float32(1.3200046)f, np.float32(1.8834265)f, np.float32(0.5309472)f, np.float32(1.300514)f, np.float32(0.76892674)f,
-    np.float32(1.7151723)f, np.float32(0.58303183)f, np.float32(0.21368563)f, np.float32(4.679772)f, np.float32(1.2789862)f, np.float32(0.78186923)f, np.float32(1.9786767)f, np.float32(0.5053883)f,
-    np.float32(1.6215031)f, np.float32(0.61671174)f, np.float32(0.24786934)f, np.float32(4.0343833)f, np.float32(1.6993849)f, np.float32(0.58844817)f, np.float32(1.1702052)f, np.float32(0.8545509)f,
-    np.float32(0.23621248)f, np.float32(4.2334766)f, np.float32(0.1768218)f, np.float32(5.6554117)f, np.float32(0.42342103)f, np.float32(2.3617153)f, np.float32(1.3832003)f, np.float32(0.7229611)f,
-    np.float32(1.3696406)f, np.float32(0.7301186)f, np.float32(1.3572074)f, np.float32(0.73680705)f, np.float32(1.0303123)f, np.float32(0.97057945)f, np.float32(0.42463917)f, np.float32(2.3549404)f,
-    np.float32(1.386188)f, np.float32(0.7214029)f, np.float32(1.0468318)f, np.float32(0.9552633)f, np.float32(1.7139297)f, np.float32(0.58345455)f, np.float32(1.9915189)f, np.float32(0.5021293)f,
-    np.float32(1.3672708)f, np.float32(0.73138404)f, np.float32(0.30470398)f, np.float32(3.2818737)f, np.float32(1.4657651)f, np.float32(0.68223757)f, np.float32(1.1200148)f, np.float32(0.89284533)f,
-    np.float32(1.4154954)f, np.float32(0.7064665)f, np.float32(1.2104965)f, np.float32(0.8261073)f, np.float32(0.8383147)f, np.float32(1.1928694)f, np.float32(0.7958813)f, np.float32(1.2564688)f,
-    np.float32(0.22402325)f, np.float32(4.4638224)f, np.float32(0.51360613)f, np.float32(1.9470172)f, np.float32(1.190328)f, np.float32(0.8401046)f, np.float32(0.3167516)f, np.float32(3.157048)f,
-    np.float32(1.8592277)f, np.float32(0.5378577)f, np.float32(1.9538778)f, np.float32(0.51180273)f, np.float32(0.39609608)f, np.float32(2.5246398)f, np.float32(1.9016424)f, np.float32(0.5258612)f,
-    np.float32(-0.009365547)f, np.float32(2.6642724e-30)f, np.float32(5.2e-44)f, np.float32(1.074479e-38)f, np.float32(3.8681084e-38)f, np.float32(0.0)f, np.float32(3.814061e-38)f, np.float32(0.0)f,
-    np.float32(3.7523813e-38)f, np.float32(0.0)f, np.float32(3.966993e-38)f, np.float32(0.0)f, np.float32(3.577172e-38)f, np.float32(0.0)f, np.float32(3.5774096e-38)f, np.float32(0.0)f,
-    np.float32(3.5776473e-38)f, np.float32(0.0)f, np.float32(3.577885e-38)f, np.float32(0.0)f, np.float32(3.5781226e-38)f, np.float32(0.0)f, np.float32(3.5783602e-38)f, np.float32(0.0)f,
-    np.float32(3.578598e-38)f, np.float32(0.0)f, np.float32(3.5788356e-38)f, np.float32(0.0)f, np.float32(3.5790732e-38)f, np.float32(0.0)f, np.float32(3.579311e-38)f, np.float32(0.0)f,
-    np.float32(3.5795485e-38)f, np.float32(0.0)f, np.float32(3.5797862e-38)f, np.float32(0.0)f, np.float32(3.581701e-38)f, np.float32(0.0)f, np.float32(3.5819476e-38)f, np.float32(0.0)f,
-    np.float32(3.5821897e-38)f, np.float32(0.0)f, np.float32(3.5824319e-38)f, np.float32(0.0)f, np.float32(3.582674e-38)f, np.float32(0.0)f, np.float32(3.5829161e-38)f, np.float32(0.0)f,
-    np.float32(3.5831583e-38)f, np.float32(0.0)f, np.float32(3.5834004e-38)f, np.float32(0.0)f, np.float32(3.5836426e-38)f, np.float32(0.0)f, np.float32(3.5838847e-38)f, np.float32(0.0)f,
-    np.float32(3.584127e-38)f, np.float32(0.0)f, np.float32(3.584369e-38)f, np.float32(0.0)f, np.float32(3.5846112e-38)f, np.float32(0.0)f, np.float32(3.5848533e-38)f, np.float32(0.0)f,
-    np.float32(3.5850954e-38)f, np.float32(0.0)f, np.float32(3.5853376e-38)f, np.float32(0.0)f, np.float32(3.5855797e-38)f, np.float32(0.0)f, np.float32(3.585822e-38)f, np.float32(0.0)f,
-    np.float32(3.586064e-38)f, np.float32(0.0)f, np.float32(3.5863062e-38)f, np.float32(0.0)f, np.float32(3.5865483e-38)f, np.float32(0.0)f, np.float32(3.5867905e-38)f, np.float32(0.0)f,
-    np.float32(3.5870326e-38)f, np.float32(0.0)f, np.float32(3.5872747e-38)f, np.float32(0.0)f, np.float32(3.587517e-38)f, np.float32(0.0)f, np.float32(3.587759e-38)f, np.float32(0.0)f,
-    np.float32(3.5880012e-38)f, np.float32(0.0)f, np.float32(3.5882433e-38)f, np.float32(0.0)f, np.float32(3.5884855e-38)f, np.float32(0.0)f, np.float32(3.5887276e-38)f, np.float32(0.0)f,
-    np.float32(3.5889698e-38)f, np.float32(0.0)f, np.float32(3.589212e-38)f, np.float32(0.0)f, np.float32(3.5924e-38)f, np.float32(0.0)f, np.float32(3.5926423e-38)f, np.float32(0.0)f,
-    np.float32(3.5928844e-38)f, np.float32(0.0)f, np.float32(3.5931266e-38)f, np.float32(0.0)f, np.float32(3.5933687e-38)f, np.float32(0.0)f, np.float32(3.5936109e-38)f, np.float32(0.0)f,
-    np.float32(3.593853e-38)f, np.float32(0.0)f, np.float32(3.5940951e-38)f, np.float32(0.0)f, np.float32(3.5943373e-38)f, np.float32(0.0)f, np.float32(0.0)f, np.float32(0.0)f,
-    np.float32(0.0)f, np.float32(0.0)f, np.float32(0.0)f, np.float32(0.0)f, np.float32(0.0)f, np.float32(0.0)f, np.float32(0.0)f, np.float32(0.0)f,
-    np.float32(0.0)f, np.float32(0.0)f, np.float32(0.0)f, np.float32(0.0)f, np.float32(0.0)f, np.float32(0.0)f, np.float32(0.0)f, np.float32(0.0)f,
-    np.float32(0.0)f, np.float32(0.0)f, np.float32(0.0)f, np.float32(0.0)f, np.float32(0.0)f, np.float32(0.0)f, np.float32(0.0)f, np.float32(0.0)f,
-    np.float32(0.0)f, np.float32(0.0)f, np.float32(0.0)f, np.float32(0.0)f, np.float32(3.8689895e-38)f, np.float32(0.0)f, np.float32(4.8e-43)f, np.float32(-1.074479e-38)f,
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+    0.1246054396033287f, -0.3501570522785187f, 100001.0f, 0.1246054396033287f, -0.5599358081817627f, 100001.0f, 0.049684446305036545f, -0.5599358081817627f,
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+    1.0193901222860422e-38f, 1.065307309845652e-38f, 9.275530846997402e-39f, 8.448935711458408e-39f, 1.0469358665888144e-38f, 1.0561223589313886e-38f, 1.0653059085471877e-38f, 8.449026795858589e-39f,
+    1.0193860585204956e-38f, 8.908181855873116e-39f, 1.0561233398403136e-38f, 0.0f, 0.0f, 0.0f, 7.346993835470373e-40f, -1.0744758655678829e-38f,
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+    0.27917927503585815f, -0.45110324025154114f, 0.28469976782798767f, -0.4195575416088104f, 100001.0f, 0.37145036458969116f, -0.4195575416088104f, 0.0f,
+    0.0f, 0.0f, 7.346993835470373e-40f, -1.0744760056977293e-38f, 100002.0f, 0.1774444431066513f, 0.0f, 100001.0f,
 };