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

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

mne/channels/channels.py

@@ -870,11 +870,11 @@ def interpolate_bads(
         .. versionadded:: 0.9.0
         """
         from .interpolation import (
-            _interpolate_bads_nan,
+            _interpolate_bads_ecog,
             _interpolate_bads_eeg,
             _interpolate_bads_meeg,
+            _interpolate_bads_nan,
             _interpolate_bads_nirs,
-            _interpolate_bads_ecog,
             _interpolate_bads_seeg,
         )
 

mne/channels/interpolation.py

@@ -6,14 +6,14 @@
 
 import numpy as np
 from numpy.polynomial.legendre import legval
+from scipy.interpolate import RectBivariateSpline
 from scipy.linalg import pinv
 from scipy.spatial.distance import pdist, squareform
-from scipy.interpolate import RectBivariateSpline
 
 from .._fiff.meas_info import _simplify_info
 from .._fiff.pick import pick_channels, pick_info, pick_types
 from ..surface import _normalize_vectors
-from ..utils import _check_option, _validate_type, logger, verbose, warn
+from ..utils import _validate_type, logger, verbose, warn
 
 
 def _calc_h(cosang, stiffness=4, n_legendre_terms=50):
@@ -358,6 +358,5 @@ def _interpolate_bads_seeg(inst, exclude=None, tol=2e-3, verbose=None):
         )
         y = np.arange(inst._data.shape[-1])
         inst._data[bads_shaft] = RectBivariateSpline(
-            x=ts[goods_shaft_idx], y=y,
-            z=inst._data[goods_shaft]
+            x=ts[goods_shaft_idx], y=y, z=inst._data[goods_shaft]
         )(x=ts[bads_shaft_idx], y=y)  # 3

mne/channels/tests/test_interpolation.py

@@ -358,12 +358,10 @@ def test_interpolation_ieeg():
     raw_seeg = RawArray(data=epochs_seeg._data[0], info=epochs_seeg.info)
     raw_before = raw_seeg._data[bads_idx]
     with pytest.raises(RuntimeError, match="Only 2 contact positions"):
-        raw_seeg.interpolate_bads(method=dict(seeg="linear"))._data[
-            bads_idx
-        ]
+        raw_seeg.interpolate_bads(method=dict(seeg="linear"))._data[bads_idx]
     montage = raw_seeg.get_montage()
     pos = montage.get_positions()
-    ch_pos = pos.pop('ch_pos')
+    ch_pos = pos.pop("ch_pos")
     n0 = ch_pos[epochs_seeg.ch_names[0]]
     n1 = ch_pos[epochs_seeg.ch_names[1]]
     for i, ch in enumerate(epochs_seeg.ch_names[2:]):