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

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

Author: pre-commit-ci[bot]

mne/viz/evoked.py

@@ -1896,14 +1896,18 @@ def plot_evoked_joint(
             n_topomaps = 3 + 1
         elif isinstance(times, dict) and "peaks" in times:
             if len(times) != 1:
-                raise ValueError("If 'times' is a dict, it must have only one key 'peaks'.")
+                raise ValueError(
+                    "If 'times' is a dict, it must have only one key 'peaks'."
+                )
             val = times["peaks"]
             if isinstance(val, int):
                 n_topomaps = val + 1
             elif isinstance(val, (list, tuple)):
                 n_topomaps = len(val) + 1
             else:
-                raise ValueError("Values for 'peaks' must be int or list/tuple of tuples.")
+                raise ValueError(
+                    "Values for 'peaks' must be int or list/tuple of tuples."
+                )
         else:
             assert not isinstance(times, str)
             n_topomaps = len(times) + 1

mne/viz/tests/test_evoked.py

@@ -669,31 +669,30 @@ def get_axes_midpoints(axes):
 
 def test_plot_joint_times_dict():
     """Test using a dictionary for the 'times' parameter in plot_joint."""
-    
-    ch_names = ['F3', 'Fz', 'F4']
-    sfreq = 1000.
-    info = mne.create_info(ch_names=ch_names, sfreq=sfreq, ch_types='eeg')
-    
+    ch_names = ["F3", "Fz", "F4"]
+    sfreq = 1000.0
+    info = mne.create_info(ch_names=ch_names, sfreq=sfreq, ch_types="eeg")
+
     data = np.zeros((3, 500))
-    
-    data[:, 100] = 5e-6  
-    data[:, 300] = 5e-6  
-    
+
+    data[:, 100] = 5e-6
+    data[:, 300] = 5e-6
+
     evoked = mne.EvokedArray(data, info, tmin=0)
-    
-    evoked.set_montage(mne.channels.make_standard_montage('standard_1020'))
+
+    evoked.set_montage(mne.channels.make_standard_montage("standard_1020"))
 
     # Test 1: Integer count (Logic check: does it find N peaks?)
     fig = evoked.plot_joint(times={"peaks": 3}, show=False)
-    assert len(fig.axes) >= 2 
-    
+    assert len(fig.axes) >= 2
+
     # Test 2: Specific Windows (Logic check: does it parse windows?)
     fig2 = evoked.plot_joint(times={"peaks": [(0.0, 0.2), (0.2, 0.4)]}, show=False)
     assert len(fig2.axes) >= 2
-    
+
     # Test 3: Validation checks (Ensuring robust error handling)
     with pytest.raises(ValueError, match="must be 'peaks'"):
         evoked.plot_joint(times={"bad_key": 5})
 
     with pytest.raises(ValueError, match="Values for 'peaks' must be"):
-        evoked.plot_joint(times={"peaks": "invalid_string"})
+        evoked.plot_joint(times={"peaks": "invalid_string"})

mne/viz/utils.py

@@ -895,13 +895,12 @@ def _find_peaks(evoked, npeaks):
 
 def _process_times(inst, use_times, n_peaks=None, few=False):
     """Return a list of times for topomaps."""
-    
     if isinstance(use_times, dict):
         if "peaks" not in use_times:
             raise ValueError("If 'times' is a dict, the key must be 'peaks'.")
-        
+
         peak_params = use_times["peaks"]
-        
+
         if isinstance(peak_params, int):
             use_times = _find_peaks(inst, peak_params)
         elif isinstance(peak_params, (list, tuple)):
@@ -910,12 +909,14 @@ def _process_times(inst, use_times, n_peaks=None, few=False):
                 if len(window) != 2:
                     raise ValueError(f"Each window must be (tmin, tmax), got {window}")
                 tmin, tmax = window
-                _, t_peak = inst.get_peak(tmin=tmin, tmax=tmax, mode='abs')
+                _, t_peak = inst.get_peak(tmin=tmin, tmax=tmax, mode="abs")
                 peaks.append(t_peak)
             use_times = np.array(peaks)
         else:
-             raise ValueError("Values for 'peaks' must be an integer or a list/tuple of (tmin, tmax) windows.")
-         
+            raise ValueError(
+                "Values for 'peaks' must be an integer or a list/tuple of (tmin, tmax) windows."
+            )
+
     if isinstance(use_times, str):
         if use_times == "interactive":
             use_times, n_peaks = "peaks", 1