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).
This commit is contained in:
2026-08-16 18:54:40 +03:00
parent 45a13dcebd
commit 25cf786c54
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#!/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')
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 load(path):
return read_wav(path)[0]
def band_db(x, fl, fh, sr=SR):
# band-integrated power between fl..fh via Goertzel on windowed segments
n = len(x)
seg = 4096
hop = 2048
total = 0.0
frames = 0
for t in range(0, n-seg, hop):
fr = x[t:t+seg]
w = np.hanning(seg)
X = np.fft.rfft(fr*w)
frq = np.fft.rfftfreq(seg, 1/sr)
m = (frq >= fl) & (frq <= fh)
total += float(np.sum(np.abs(X[m])**2))
frames += 1
if frames == 0: return -300.0
return 10*np.log10(total/frames + 1e-30)
def main():
# probe band around the carrier at flexible freqs
center = float(sys.argv[1])
outs = sys.argv[2:]
half_w = float(os.environ.get('PROBE_BW', 800.0))
widths = []
step = float(os.environ.get('PROBE_STEP', 25.0))
f = center - half_w
while f <= center + half_w:
widths.append(f)
f += step
datas = {p: load(p) for p in outs}
colw = 11
print(f"{'freq':>6}" + ''.join(f" {os.path.basename(p)[:colw]:>{colw}}" for p in outs))
prevbase = None
for fl in widths:
fh = fl + step
row = f"{fl + step/2:6.0f}"
base = None
for p in outs:
d = band_db(datas[p], fl, fh)
if base is None: base = d
row += f" {d:>{colw}.1f}"
print(row)
# also print relative-to-first file per bin is tricky; print a second table relative to first col
print("--- relative dB to first file ---")
for fl in widths:
fh = fl + step
row = f"{fl + step/2:6.0f}"
first = None
for p in outs:
d = band_db(datas[p], fl, fh)
if first is None: first = d
row += f" {d - first:>+{colw}.1f}"
print(row)
if __name__ == '__main__':
main()