[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

python/exp/param_eq_paper/normalize_archives.py

@@ -99,7 +99,9 @@ def _normalize_haskell_rows(tf: tarfile.TarFile) -> list[dict[str, str]]:
         table_member = f"param-eq-haskell/results/{dataset}_table_counts.csv"
         raw_rows = _read_csv_text(_read_text(tf, table_member))
         exprs_by_algorithm = {
-            path_algorithm: _load_expression_lines(tf, f"param-eq-haskell/results/exprs/{path_algorithm}_exprs_{dataset}")
+            path_algorithm: _load_expression_lines(
+                tf, f"param-eq-haskell/results/exprs/{path_algorithm}_exprs_{dataset}"
+            )
             for path_algorithm in ("Bingo", "EPLEX", "FEAT", "GOMEA", "Operon", "SBP", "SRjl")
         }
         sympy_by_algorithm = {
@@ -150,17 +152,17 @@ def _normalize_runtime_rows(tf: tarfile.TarFile) -> list[dict[str, str]]:
         node_count = int(benchmark_name.split("/")[-1])
         _, numeric, unit, *_ = time_line.split()
         runtime_ms = float(numeric) * _to_runtime_multiplier(unit)
-        rows.append(
-            {
-                "benchmark_name": benchmark_name,
-                "node_count": str(node_count),
-                "runtime_ms": f"{runtime_ms:.9f}",
-            }
-        )
+        rows.append({
+            "benchmark_name": benchmark_name,
+            "node_count": str(node_count),
+            "runtime_ms": f"{runtime_ms:.9f}",
+        })
     return rows
 
 
-def _normalize_manifest(bundle: ArchiveBundle, haskell_rows: Iterable[dict[str, str]], runtime_rows: Iterable[dict[str, str]]) -> dict[str, Any]:
+def _normalize_manifest(
+    bundle: ArchiveBundle, haskell_rows: Iterable[dict[str, str]], runtime_rows: Iterable[dict[str, str]]
+) -> dict[str, Any]:
     haskell_rows = list(haskell_rows)
     runtime_rows = list(runtime_rows)
     return {
@@ -169,7 +171,9 @@ def _normalize_manifest(bundle: ArchiveBundle, haskell_rows: Iterable[dict[str,
         "haskell_row_count": len(haskell_rows),
         "paper_row_count": sum(row["is_paper_row"] == "1" for row in haskell_rows),
         "pagie_paper_rows": sum(row["dataset"] == "pagie" and row["is_paper_row"] == "1" for row in haskell_rows),
-        "kotanchek_paper_rows": sum(row["dataset"] == "kotanchek" and row["is_paper_row"] == "1" for row in haskell_rows),
+        "kotanchek_paper_rows": sum(
+            row["dataset"] == "kotanchek" and row["is_paper_row"] == "1" for row in haskell_rows
+        ),
         "runtime_row_count": len(runtime_rows),
         "matcher_height_limit": 8,
     }