Apply ruff format across the codebase

Whitespace-only reflow (line wrapping, blank lines between defs); no
logic changes.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

analysis/compare_ode_steps_energy_conservation.py

@@ -38,9 +38,7 @@ def per_event(file: str) -> dict:
     E0 = float(primary_E[0])
     real = pe["real_total_edep"].to_numpy()
     gen = pe["gen_total_edep"].to_numpy()
-    n_steps = (
-        pl.scan_parquet(file).select(pl.len()).collect(engine="streaming").item()
-    )
+    n_steps = pl.scan_parquet(file).select(pl.len()).collect(engine="streaming").item()
     return {
         "E0": E0,
         "n_events": pe.height,
@@ -78,6 +76,8 @@ fmt_row("gen mean/E0", lambda r: f"{r['gen'].mean() / r['E0']:.4f}")
 fmt_row("gen max/E0", lambda r: f"{r['gen'].max() / r['E0']:.4f}")
 fmt_row("gen p99/E0", lambda r: f"{np.quantile(r['gen'], 0.99) / r['E0']:.4f}")
 fmt_row("frac events gen>E0", lambda r: f"{np.mean(r['gen'] > r['E0']):.4f}")
+
+
 def disp_ratio(r):
     return (r["gen"].std() / r["gen"].mean()) / (r["real"].std() / r["real"].mean())
 
@@ -92,21 +92,31 @@ E0, real_tot, gen_tot = r["E0"], r["real"], r["gen"]
 fig, ax = plt.subplots(figsize=(6, 4))
 edges = _hist_edges(real_tot, gen_tot, bins=50).tolist()
 ax.hist(
-    real_tot, bins=edges, density=True, histtype="step",
+    real_tot,
+    bins=edges,
+    density=True,
+    histtype="step",
     label=f"real (σ/μ={real_tot.std() / real_tot.mean():.3f})",
 )
 ax.hist(
-    gen_tot, bins=edges, density=True, histtype="step",
+    gen_tot,
+    bins=edges,
+    density=True,
+    histtype="step",
     label=f"generated (σ/μ={gen_tot.std() / gen_tot.mean():.3f}, "
     f"{np.mean(gen_tot > E0):.1%} > E0)",
 )
-ax.axvline(E0, color="k", linestyle="--", linewidth=1, label=f"incident energy E0={E0:.0f} MeV")
+ax.axvline(
+    E0, color="k", linestyle="--", linewidth=1, label=f"incident energy E0={E0:.0f} MeV"
+)
 ax.set_yscale("log")
 ax.set_xlabel("total deposited energy per event [MeV]")
 ax.set_title("20 ODE steps")
 ax.legend(fontsize=8)
 fig.tight_layout()
-fig.savefig(OUT / f"{PREFIX20}-event-total-energy-vs-E0.png", dpi=150, bbox_inches="tight")
+fig.savefig(
+    OUT / f"{PREFIX20}-event-total-energy-vs-E0.png", dpi=150, bbox_inches="tight"
+)
 
 fig, ax = plt.subplots(figsize=(6, 4))
 ratio_real = real_tot / E0
@@ -129,12 +139,19 @@ all_arrays = [results["10-step (baseline)"]["real"]] + [
 ]
 edges = _hist_edges(*all_arrays, bins=60).tolist()
 ax.hist(
-    results["20-step"]["real"], bins=edges, density=True, histtype="step",
-    color="k", label="real",
+    results["20-step"]["real"],
+    bins=edges,
+    density=True,
+    histtype="step",
+    color="k",
+    label="real",
 )
 for name, r2 in results.items():
     ax.hist(
-        r2["gen"], bins=edges, density=True, histtype="step",
+        r2["gen"],
+        bins=edges,
+        density=True,
+        histtype="step",
         label=f"gen {name} ({np.mean(r2['gen'] > r2['E0']):.1%} > E0)",
     )
 ax.axvline(E0, color="gray", linestyle="--", linewidth=1, label=f"E0={E0:.0f} MeV")
@@ -143,6 +160,8 @@ ax.set_xlabel("total deposited energy per event [MeV]")
 ax.set_title("Generated event energy: 10 vs 20 ODE steps")
 ax.legend(fontsize=8)
 fig.tight_layout()
-fig.savefig(OUT / f"{PREFIX20}-compare-event-total-energy.png", dpi=150, bbox_inches="tight")
+fig.savefig(
+    OUT / f"{PREFIX20}-compare-event-total-energy.png", dpi=150, bbox_inches="tight"
+)
 
 print("DONE")

analysis/compare_ode_steps_kl.py

@@ -66,6 +66,4 @@ print(
     f"{'SUM':<14}{tot['10-step']:>14.5f}{tot['20-step']:>14.5f}"
     f"{tot['20-step'] / tot['10-step']:>14.2f}"
 )
-print(
-    f"{'MEAN':<14}{tot['10-step'] / 9:>14.5f}{tot['20-step'] / 9:>14.5f}"
-)
+print(f"{'MEAN':<14}{tot['10-step'] / 9:>14.5f}{tot['20-step'] / 9:>14.5f}")

analysis/export_energy_conservation_poc.py

@@ -77,12 +77,16 @@ ax.hist(
     label=f"generated (σ/μ={gen_tot.std() / gen_tot.mean():.3f}, "
     f"{np.mean(gen_tot > E0):.1%} > E0)",
 )
-ax.axvline(E0, color="k", linestyle="--", linewidth=1, label=f"incident energy E0={E0:.0f} MeV")
+ax.axvline(
+    E0, color="k", linestyle="--", linewidth=1, label=f"incident energy E0={E0:.0f} MeV"
+)
 ax.set_yscale("log")
 ax.set_xlabel("total deposited energy per event [MeV]")
 ax.legend(fontsize=8)
 fig.tight_layout()
-fig.savefig(OUT / f"{PREFIX}-event-total-energy-vs-E0.png", dpi=150, bbox_inches="tight")
+fig.savefig(
+    OUT / f"{PREFIX}-event-total-energy-vs-E0.png", dpi=150, bbox_inches="tight"
+)
 
 print("=== plot: total edep / incident energy ratio ===")
 fig, ax = plt.subplots(figsize=(6, 4))

analysis/export_rollout_observables.py

@@ -13,7 +13,9 @@ from pathlib import Path
 import giant.analysis as a
 
 rollout_file = sys.argv[1] if len(sys.argv) > 1 else "rollout.parquet"
-reference_file = sys.argv[2] if len(sys.argv) > 2 and sys.argv[2] not in ("", "-") else None
+reference_file = (
+    sys.argv[2] if len(sys.argv) > 2 and sys.argv[2] not in ("", "-") else None
+)
 OUT = Path(sys.argv[3]) if len(sys.argv) > 3 else Path(".")
 
 print(f"=== computing rollout observables: {rollout_file} ===")