22s: offline law-fit infra (full replay sim, 2s/corpus) — NO single affine (A,S) exists even on pure tones; family slopes 0.85-2.19, global LSQ resid 0.60 dB structured by rms/fc-dist; scalar law saturated ~1.87-1.93, canon stays HEAD

2026-08-23 14:36:27 +03:00
parent 3b9158e63e
commit 3857205a6b
3 changed files with 561 additions and 0 deletions
@@ -0,0 +1,75 @@
+#!/usr/bin/env python3
+"""pairfit22q.py — collect (model lvl_raw, real cut_dB) pairs across corpus."""
+import sys, os, subprocess, numpy as np
+sys.path.insert(0, "/home/m/re-tools/scripts")
+sys.path.insert(0, "/home/m/re-tools/handoff")
+import corpus
+from render_parity import load, FS
+
+RB = "/home/m/re-tools/dsp/build/render48k"
+ENVBASE = {"RT_LUT_OFF": "1", "RT_IIR12": "0", "RT_NOWARP": "1",
+           "RT_NOBLEND": "1", "RT_NOIIR3": "1", "RT_POOL": "0",
+           "RT_SCALE_M": "1.0", "RT_FLOOR": "0",
+           "RT_DUMP_BIN": "/tmp/opencode/tract_pair.txt",
+           "RT_DUMP_FRAME": "120"}
+
+def amp(p, f):
+    a = load(p)
+    seg = np.mean(a[:min(len(a), int(3.5*FS))][-int(0.75*FS):], axis=1)
+    n = len(seg); tt = np.arange(n)/FS
+    return 2*np.abs(np.dot(seg, np.exp(-2j*np.pi*f*tt)))/n
+
+def bin_of(f):
+    return int(round(f/48000*4096))
+
+def main():
+    e = {**os.environ, **ENVBASE}
+    pairs = []
+    seen_render = {}
+    cases = corpus.build_cases()
+    # unique renders first (input,args): dump tract once, remember lvl per freq
+    uniq = {}
+    for name, inp, args, ref, f in cases:
+        key = (inp, ",".join(args) if isinstance(args, list) else args)
+        uniq.setdefault(key, []).append((name, ref, f))
+    n_done = 0
+    for (inp, argstr), items in sorted(uniq.items()):
+        out_wav = "/tmp/opencode/pf_model.wav"
+        env = {**e}
+        bands = argstr.split(",") if "," in argstr else [argstr]
+        nbands = max(1, len(bands)//3)
+        env["RT_DUMP_FRAME"] = str(120 * nbands - 1)  # land mid-frame of last band
+        r = subprocess.run([RB, inp, out_wav] + ([argstr] if "," in argstr else [" ".join([])]),
+                           capture_output=True, text=True, env=env, cwd="/home/m/re-tools")
+        if not os.path.exists("/tmp/opencode/tract_pair.txt"):
+            print("no tract for", argstr); continue
+        try:
+            d = np.loadtxt("/tmp/opencode/tract_pair.txt")
+        except Exception as ex:
+            print("load fail", ex); continue
+        if d.ndim == 1: continue
+        k, am, res, lvl = d.T[0], d.T[1], d.T[2], d.T[3]
+        for name, ref, f in items:
+            b = bin_of(f)
+            if b >= len(lvl): continue
+            lv = float(lvl[b])
+            i_db = 20*np.log10(max(amp(inp, f), 1e-12))
+            r_db = 20*np.log10(max(amp(ref, f), 1e-12))
+            cut = i_db - r_db
+            pairs.append((name, f, lv, cut))
+        n_done += 1
+        os.remove("/tmp/opencode/tract_pair.txt")
+    print("collected %d pairs from %d renders" % (len(pairs), n_done))
+    with open("/tmp/opencode/pairs.csv", "w") as fh:
+        fh.write("case,freq,lvl,cut_db\n")
+        for nm, f, lv, c in pairs:
+            fh.write("%s,%.1f,%.4f,%.3f\n" % (nm, f, lv, c))
+    arr = np.array([(lv, c) for _, _, lv, c in pairs])
+    o = np.argsort(arr[:, 0]); s = arr[o]
+    print("lvl -> cut samples:")
+    step = max(1, len(s)//18)
+    for i in range(0, len(s), step):
+        print("  %8.3f -> %+8.2f dB" % tuple(s[i]))
+
+if __name__ == "__main__":
+    main()