style: ruff format

giant/analysis/condor.py

@@ -130,7 +130,9 @@ class RunMeta:
         return cls(**json.loads(Path(path).read_text()))
 
 
-def _rows_per_chunk(rollout: str | Path, reference: str | Path, n_chunks: int) -> list[int]:
+def _rows_per_chunk(
+    rollout: str | Path, reference: str | Path, n_chunks: int
+) -> list[int]:
     """Rollout+reference row count of each ``event_id % n_chunks`` chunk.
 
     One cheap streaming ``group_by`` per side (just the ``event_id`` column) —
@@ -345,7 +347,9 @@ def _submit_description(cfg: SubmitConfig, wrapper: Path, jobs_file: Path) -> st
     )
 
 
-def _job_walltimes(run_dir: Path, ids: list[str], n_chunks: int) -> list[tuple[str, int, int]]:
+def _job_walltimes(
+    run_dir: Path, ids: list[str], n_chunks: int
+) -> list[tuple[str, int, int]]:
     """``(spec_id, chunk, walltime_s)`` for every job, sized from ``run_meta.json``.
 
     Row counts come from ``prep``'s ``RunMeta.rows_per_chunk``/``total_rows``;

giant/analysis/runtime_estimate.py

@@ -54,7 +54,9 @@ _FIXED_OVERHEAD_S = 60.0
 # scan. Calibrated from the 3 real router jobs' observed wall times (119, 66,
 # 124s) — max minus _FIXED_OVERHEAD_S, on top of it.
 _ROUTER_FIXED_S = 64.0
-_ROUTER_IDS = frozenset({"router_gating", "router_share_by_pdg", "router_share_by_process"})
+_ROUTER_IDS = frozenset(
+    {"router_gating", "router_share_by_pdg", "router_share_by_process"}
+)
 
 # Conservative fallback for any catalog id not in _COST_MODEL (e.g. a plot
 # added after the last calibration run) — the most expensive fitted per-row