series 4 codec work, inital decode success

analysis_idf/corpus_accuracy.py

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+"""Run read_idf_file across the corpus and report per-channel accuracy vs sidecars."""
+from __future__ import annotations
+import sys
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(REPO))
+
+from micromate.idf_file import read_idf_file
+from analysis_idf.recon import load_sidecar_samples
+
+
+def sidecar_path(idfw: Path) -> Path:
+    return idfw.parent / "TXT" / f"{idfw.name}.txt"
+
+
+def main():
+    root = REPO / "tests/fixtures/THORDATA_example"
+    files = [f for f in root.rglob("*.IDFW") if not str(f).endswith(".CDB")]
+    files.sort()
+    GEO_LSB = 0.0003
+
+    n_ok = n_skip = 0
+    overall = {"Tran": [], "Vert": [], "Long": []}
+
+    for f in files:
+        try:
+            res = read_idf_file(f)
+        except Exception:
+            n_skip += 1
+            continue
+        sc_path = sidecar_path(f)
+        if not sc_path.exists():
+            n_skip += 1
+            continue
+        try:
+            sc = load_sidecar_samples(sc_path)
+        except Exception:
+            n_skip += 1
+            continue
+
+        per_file = {}
+        for ch in ("Tran", "Vert", "Long"):
+            sc_counts = [int(round(v / GEO_LSB)) for v in sc[ch]]
+            dec = res.samples.get(ch, [])
+            n = min(len(sc_counts), len(dec))
+            if n == 0:
+                per_file[ch] = 0.0
+                continue
+            exact = sum(1 for i in range(n) if sc_counts[i] == dec[i])
+            pct = 100.0 * exact / n
+            per_file[ch] = pct
+            overall[ch].append(pct)
+        n_ok += 1
+
+    print(f"Processed {n_ok} files (skipped {n_skip})")
+    print("Per-channel exact-match % (mean / min / max):")
+    for ch, vals in overall.items():
+        if vals:
+            avg = sum(vals) / len(vals)
+            print(f"  {ch}: mean={avg:.2f}%  min={min(vals):.2f}%  max={max(vals):.2f}%  n={len(vals)}")
+
+
+if __name__ == "__main__":
+    main()