[pre-commit.ci] pre-commit autoupdate (#564)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Eric Larson <[email protected]>

.pre-commit-config.yaml

@@ -1,7 +1,7 @@
 repos:
   # Ruff mne
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.5.1
+    rev: v0.5.2
     hooks:
       - id: ruff
         args: ["--fix"]

mne_nirs/statistics/tests/test_statsmodels.py

@@ -46,14 +46,14 @@ def test_statsmodel_to_df(func):
     df_cha["theta"] = df_cha["theta"] * 1.0e6
     roi_model = func("theta ~ -1 + Condition", df_cha, groups=df_cha["ID"]).fit()
     df = statsmodels_to_results(roi_model)
-    assert type(df) == pd.DataFrame
+    assert isinstance(df, pd.DataFrame)
     assert_allclose(df["Coef."]["Condition[A]"], amplitude, rtol=0.1)
     assert df["Significant"]["Condition[A]"]
     assert df.shape == (8, 8)
 
     roi_model = smf.rlm("theta ~ -1 + Condition", df_cha, groups=df_cha["ID"]).fit()
     df = statsmodels_to_results(roi_model)
-    assert type(df) == pd.DataFrame
+    assert isinstance(df, pd.DataFrame)
     assert_allclose(df["Coef."]["Condition[A]"], amplitude, rtol=0.1)
     assert df["Significant"]["Condition[A]"]
     assert df.shape == (8, 8)

mne_nirs/visualisation/tests/test_visualisation.py

@@ -157,7 +157,7 @@ def test_run_plot_GLM_projection(requires_pyvista):
             surface="white",
             subjects_dir=subjects_dir,
         )
-        assert type(brain) == mne.viz._brain.Brain
+        assert isinstance(brain, mne.viz._brain.Brain)
 
 
 @pytest.mark.parametrize(