series 4 codec work, inital decode success

analysis_idf/verify_full.py

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+"""Verify decode_waveform_v2 against sidecar across all 2304 samples per channel."""
+from __future__ import annotations
+import sys
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(REPO))
+
+from minimateplus.waveform_codec import decode_waveform_v2
+from analysis_idf.recon import TARGET, TXT, load_sidecar_samples
+
+
+def main():
+    buf = TARGET.read_bytes()
+    sc = load_sidecar_samples(TXT)
+    body = buf[0x0f1f:]
+    decoded = decode_waveform_v2(body)
+
+    print(f"Sidecar lengths: Tran={len(sc['Tran'])} Vert={len(sc['Vert'])} Long={len(sc['Long'])} MicL={len(sc['MicL'])}")
+    print(f"Decoded lengths: Tran={len(decoded['Tran'])} Vert={len(decoded['Vert'])} Long={len(decoded['Long'])} MicL={len(decoded['MicL'])}")
+    print()
+
+    GEO_LSB = 0.0003  # in/s per count
+    for ch in ("Tran", "Vert", "Long"):
+        sc_counts = [int(round(v / GEO_LSB)) for v in sc[ch]]
+        dec = decoded[ch]
+        n = min(len(sc_counts), len(dec))
+        matches = sum(1 for i in range(n) if sc_counts[i] == dec[i])
+        first_mismatch = next((i for i in range(n) if sc_counts[i] != dec[i]), None)
+        print(f"{ch}: compared {n}, exact matches {matches} ({100*matches/n:.2f}%)")
+        if first_mismatch is not None:
+            i = first_mismatch
+            print(f"  first mismatch at idx {i}: sidecar={sc_counts[i]} ({sc[ch][i]}), decoded={dec[i]}")
+            print(f"  context sidecar[{i-2}..{i+5}]: {sc_counts[max(0,i-2):i+5]}")
+            print(f"  context decoded[{i-2}..{i+5}]: {dec[max(0,i-2):i+5]}")
+
+    # MicL: find the multiplicative factor that fits
+    print()
+    print("=== MicL scale analysis ===")
+    sc_micl = sc["MicL"]
+    dec_micl = decoded["MicL"]
+    # Skip zero values when computing ratio
+    ratios = [sc_micl[i] / dec_micl[i] for i in range(min(50, len(sc_micl), len(dec_micl))) if dec_micl[i] != 0]
+    if ratios:
+        avg = sum(ratios) / len(ratios)
+        print(f"  avg ratio sidecar/decoded over first 50 nonzero: {avg:.4e} (n={len(ratios)})")
+        print(f"  ratios sample: {[f'{r:.4e}' for r in ratios[:6]]}")
+
+
+if __name__ == "__main__":
+    main()