[pre-commit.ci] pre-commit autoupdate

.pre-commit-config.yaml

@@ -1,12 +1,12 @@
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.4.0
+    rev: v5.0.0
     hooks:
       - id: check-merge-conflict
       - id: debug-statements
   - repo: https://github.com/astral-sh/ruff-pre-commit
     # Ruff version.
-    rev: v0.8.5
+    rev: v0.9.6
     hooks:
       # Run the linter.
       - id: ruff
@@ -16,22 +16,22 @@ repos:
       - id: ruff-format
         types_or: [ python, pyi, jupyter ]
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v1.5.1
+    rev: v1.15.0
     hooks:
       - id: mypy
         additional_dependencies: [types-beautifulsoup4, types-decorator, types-PyYAML, pydantic, types-toml]
   - repo: https://github.com/igorshubovych/markdownlint-cli
-    rev: v0.35.0
+    rev: v0.44.0
     hooks:
       - id: markdownlint
         args: ["--disable", "MD013"]
   - repo: https://github.com/kynan/nbstripout
-    rev: 0.7.1
+    rev: 0.8.1
     hooks:
       - id: nbstripout
         args: ['--extra-keys="metadata.kernelspec"']
   - repo: https://github.com/astral-sh/uv-pre-commit
     # uv version.
-    rev: 0.5.22
+    rev: 0.5.29
     hooks:
       - id: uv-lock

docs/source/examples/comparing-pyprobe-performance.ipynb

@@ -222,7 +222,7 @@
     "median_total_time_pandas = total_time_pandas[:, median_total_time_idx_pandas]\n",
     "\n",
     "print(\n",
-    "    f\"The median execution time for the filtering query in PyProBE is {median_total_time_pandas[-1]/median_total_time_pyprobe[-1]:.2f} times faster than Pandas.\"\n",
+    "    f\"The median execution time for the filtering query in PyProBE is {median_total_time_pandas[-1] / median_total_time_pyprobe[-1]:.2f} times faster than Pandas.\"\n",
     ")"
    ]
   },
@@ -388,7 +388,7 @@
     "os.remove(data_directory + \"/sample_data_neware_repeated.parquet\")\n",
     "\n",
     "print(\n",
-    "    f\"The median execution time for the filtering query in PyProBE is {rep_median_total_time_pandas[-1]/rep_median_total_time_pyprobe[-1]:.2f} times faster than Pandas.\"\n",
+    "    f\"The median execution time for the filtering query in PyProBE is {rep_median_total_time_pandas[-1] / rep_median_total_time_pyprobe[-1]:.2f} times faster than Pandas.\"\n",
     ")\n",
     "\n",
     "plt.figure(figsize=(10, 7.5))\n",

pyprobe/analysis/pulsing.py

@@ -222,8 +222,7 @@ def get_resistances(
         "Pulse Number": "An index for each pulse.",
         "Capacity": input_data.column_definitions["Capacity"],
         "SOC": input_data.column_definitions["SOC"],
-        "OCV": "The voltage value at the final data point in the rest before a "
-        "pulse.",
+        "OCV": "The voltage value at the final data point in the rest before a pulse.",
         "R0": "The instantaneous resistance measured between the final rest "
         "point and the first data point in the pulse.",
     }

pyprobe/cell.py

@@ -84,7 +84,7 @@ def _convert_to_parquet(
                 output_data_path,
                 compression=compression_dict[compression_priority],
             )
-            logger.info(f"\tparquet written in {time.time()-t1: .2f} seconds.")
+            logger.info(f"\tparquet written in {time.time() - t1: .2f} seconds.")
         else:
             logger.info(f"File {output_data_path} already exists. Skipping.")