feat(eval): added slowstart analysis

analysis/values/slowstart.py

@@ -0,0 +1,33 @@
+"""Initial ssthresh per (solution, qlen) from slowstart raw text files."""
+import os
+from pathlib import Path
+
+import numpy as np
+
+
+def _read(path: Path) -> dict[int, np.ndarray]:
+    out = {}
+    for line in path.read_text().splitlines():
+        line = line.strip()
+        if not line:
+            continue
+        qlen, vals = line.split(":", 1)
+        out[int(qlen)] = np.array([float(v) for v in vals.split()])
+    return out
+
+
+def compute(derived: Path) -> tuple[dict[str, str], list[Path]]:
+    raw_root = Path(os.environ.get("RAW_DATA_ROOT", derived.parent / "raw_data"))
+    raw = raw_root / "slowstart"
+    files = {"tso": raw / "tso.txt", "tso-pacing": raw / "tso_pacing.txt"}
+    if not all(p.exists() for p in files.values()):
+        return {}, []
+
+    out: dict[str, str] = {}
+    for sol, path in files.items():
+        for qlen, vals in _read(path).items():
+            base = f"slowstart/{sol}/qlen-{qlen}"
+            out[f"{base}/mean-pkts"] = f"{vals.mean():.0f}"
+            out[f"{base}/sd-pkts"]   = f"{vals.std(ddof=1):.0f}"
+            out[f"{base}/n-runs"]    = str(vals.size)
+    return out, list(files.values())