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#!/usr/bin/env python3
from __future__ import annotations
import json
from pathlib import Path
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
import pandas as pd
import sqlite3
WNS_KEYS = [
"timing__setup__wns",
"timing__setup__WNS",
"finish__timing__setup__wns",
"timing__setup__ws",
"finish__timing__setup__ws",
"route__timing__setup__ws",
"cts__timing__setup__ws",
"detailedplace__timing__setup__ws",
"floorplan__timing__setup__ws",
"globalplace__timing__setup__ws",
"globalroute__timing__setup__ws",
"placeopt__timing__setup__ws",
]
AREA_KEYS = [
"finish__design__die__area",
"globalroute__design__die__area",
"placeopt__design__die__area",
"detailedplace__design__die__area",
"floorplan__design__die__area",
"design__die__area",
]
def pick_first(metrics: dict, keys: list[str]) -> float | None:
for k in keys:
if k in metrics:
try:
return float(metrics[k])
except Exception:
return None
lower = {kk.lower(): kk for kk in metrics.keys()}
for k in keys:
kk = lower.get(k.lower())
if kk:
try:
return float(metrics[kk])
except Exception:
return None
return None
def load_metrics(mj: str | None) -> dict | None:
if not mj:
return None
try:
return json.loads(mj)
except Exception:
return None
def main() -> None:
import argparse
p = argparse.ArgumentParser(description="Generate Pareto scatter (area vs WNS)")
p.add_argument("--db", default="runs/sweep_finish.sqlite", help="SQLite database path")
p.add_argument("--out", default="runs/sweep_finish/plots/pareto_area_vs_wns", help="Output path without extension")
args = p.parse_args()
con = sqlite3.connect(args.db)
df = pd.read_sql_query("SELECT * FROM trials", con)
con.close()
rows = []
for _, row in df.iterrows():
metrics = load_metrics(row.get("metrics_json"))
if not metrics:
continue
wns = pick_first(metrics, WNS_KEYS)
area = pick_first(metrics, AREA_KEYS)
if wns is None or area is None:
continue
rows.append({"wns": wns, "area": area, "fidelity": row.get("fidelity", "unknown")})
if not rows:
print("No points with both WNS and area found.")
return
plot_df = pd.DataFrame(rows)
colors = {
"synth": "#999999",
"place": "#4B8BBE",
"route": "#306998",
"finish": "#E07B39",
"unknown": "#666666",
}
markers = {
"synth": "o",
"place": "s",
"route": "^",
"finish": "D",
"unknown": "o",
}
fig, ax = plt.subplots(figsize=(6.4, 4.6))
for fid, group in plot_df.groupby("fidelity"):
ax.scatter(
group["area"],
group["wns"],
label=fid,
color=colors.get(fid, "#666666"),
marker=markers.get(fid, "o"),
alpha=0.75,
edgecolors="none",
)
ax.axhline(0.0, color="#333333", linewidth=0.8, linestyle="--")
ax.set_xlabel("Die area (um^2)")
ax.set_ylabel("WNS (ns)")
ax.set_title("Area vs WNS (Pareto scatter)")
ax.legend(frameon=False, fontsize=8, loc="best")
fig.tight_layout()
out_base = Path(args.out)
out_base.parent.mkdir(parents=True, exist_ok=True)
fig.savefig(out_base.with_suffix(".png"), dpi=300)
fig.savefig(out_base.with_suffix(".pdf"))
plt.close(fig)
if __name__ == "__main__":
main()
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