Initial commit: soothe2 RE workspace + roadmap

- Инфраструктура: RTTI-дампы (rtti_dsp/full.json), декомпиляции DSP-классов (decomp_*.txt),
  Ghidra-скрипты (Dump*.java, ImportRtti*.java, Diag.java), depthcurve/curve_fits LUT.
- Поведенческая модель sim_v5.py + sim.py (RMSE ~0.3dB), утилиты (measure, tt_sweep, patchparam,
  sweep, harness_*, verify_sim).
- summary.md + roadmap.md (контракт из manual M1-M12, топология пайплайна из OCR, фазы A-C).
- pipeline_ocr.txt: OCR диаграммы Appendix A (mid/side ручка, trim/mix/bypass порядок).

spec.py

@@ -0,0 +1,73 @@
+#!/usr/bin/env python3
+import sys, os, struct
+import numpy as np
+
+SR = 44100
+
+def read_wav(path):
+    d = open(path, 'rb').read()
+    i = 12
+    ch = bps = None
+    data_off = data_sz = None
+    while i + 8 <= len(d):
+        cid = d[i:i+4]; sz = struct.unpack('<I', d[i+4:i+8])[0]
+        if cid == b'fmt ':
+            ch = struct.unpack('<H', d[i+8:i+10])[0]
+            bps = struct.unpack('<H', d[i+16:i+18])[0]
+        if cid == b'data':
+            data_off = i + 8; data_sz = sz
+        i += 8 + sz + (sz & 1)
+    raw = d[data_off:data_off+data_sz]
+    if bps == 32:
+        a = np.frombuffer(raw, dtype='<f4')
+        e = (1, 2)[ch-1:]
+        return a.reshape(-1, ch)[:, 0], ch
+    if bps == 24:
+        b = np.frombuffer(raw, dtype=np.uint8).reshape(-1, ch*3)
+        v = b[:, 0] | (b[:,1].astype(np.int32) << 8) | (b[:,2].astype(np.int32) << 16)
+        v = (v ^ (1 << 23)) - (1 << 23)
+        return v / 8388608.0, ch
+    a = np.frombuffer(raw, dtype='<i2')
+    return a.reshape(-1, ch)[:, 0] / 32768.0, ch
+
+def db_spec_mono(x, nfft=16384, hop=2048, sr=SR):
+    # averaged magnitude spectrum in dB
+    w = np.hanning(nfft)
+    frames = [x[t:t+nfft] for t in range(0, len(x)-nfft, hop)]
+    if not frames: return None
+    X = np.stack([np.fft.rfft(f*w) for f in frames])
+    return 20*np.log10(np.abs(X).mean(0) + 1e-12), np.fft.rfftfreq(nfft, 1/sr)
+
+def main():
+    inp = sys.argv[1]
+    outs = sys.argv[2:]
+    x, ch = read_wav(inp)
+    bin, fr = db_spec_mono(x)
+    NFFT = 16384
+    # collect peaks (sines) of test tone from input
+    masks = {}
+    peakset = set()
+    for f in range(1, len(fr)):
+        if bin[f] > -120 and bin[f] == np.max(bin[max(0,f-8):f+9]):
+            peakset.add(f)
+    print("peaks in input (Hz):", sorted(round(fr[f]) for f in peakset if fr[f] < 18000))
+    colw = 22
+    hdr = f"{'Hz':>6} {'IN dB':>7}" + ''.join(f" {os.path.basename(p)[:colw]:>{colw}}" for p in outs)
+    print(hdr)
+    for f in sorted(peakset):
+        if fr[f] < 18000:
+            row = f"{fr[f]:6.0f} {bin[f]:7.1f}"
+            refbase = None
+            for p in outs:
+                y, _ = read_wav(p)
+                b, f2 = db_spec_mono(y)
+                # nearest bin to fr[f]
+                idx = int(round(fr[f]*(len(f2)-1)/f2[-1]))
+                idx = int(np.argmin(np.abs(f2 - fr[f])))
+                if p == outs[0]:
+                    refbase = b[idx]
+                row += f" {b[idx]:{colw}.2f}"
+            print(row)
+
+if __name__ == '__main__':
+    main()