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

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

Author: pre-commit-ci[bot]

src/spikeinterface/extractors/neoextractors/neobaseextractor.py

@@ -231,22 +231,24 @@ def __init__(
 
         # remove all duplicate channel-to-electrode assignments
         mask_id = np.argwhere(mask).flatten()
-        [u,u_i,u_v,u_c] = np.unique(signal_channels[mask]['name'], return_index=True, return_inverse=True, return_counts=True)
-        for i in u_v[u_i[u_c>1]]:
-            mask[mask_id[np.argwhere(signal_channels[mask]['name'] == u[i])[1:].flatten()]] = False
-        
+        [u, u_i, u_v, u_c] = np.unique(
+            signal_channels[mask]["name"], return_index=True, return_inverse=True, return_counts=True
+        )
+        for i in u_v[u_i[u_c > 1]]:
+            mask[mask_id[np.argwhere(signal_channels[mask]["name"] == u[i])[1:].flatten()]] = False
+
         # remove all duplicate channel assigments corresponding to different electrodes (channel is a mix of mulitple electrode signals)
         mask_id = np.argwhere(mask).flatten()
-        signal_channels_chan,_ = map(list, zip(*(x.split(' ') for x in signal_channels[mask]['name'])))
-        [u,u_i,u_v,u_c] = np.unique(signal_channels_chan, return_index=True, return_inverse=True, return_counts=True)
-        for i in u_v[u_i[u_c>1]]:
+        signal_channels_chan, _ = map(list, zip(*(x.split(" ") for x in signal_channels[mask]["name"])))
+        [u, u_i, u_v, u_c] = np.unique(signal_channels_chan, return_index=True, return_inverse=True, return_counts=True)
+        for i in u_v[u_i[u_c > 1]]:
             mask[mask_id[np.argwhere(signal_channels_chan == u[i])[:].flatten()]] = False
-        
+
         # remove subsequent duplicated electrodes (single electrode saved to multiple channels)
         mask_id = np.argwhere(mask).flatten()
-        _,signal_channels_elec = map(list, zip(*(x.split(' ') for x in signal_channels[mask]['name'])))
-        [u,u_i,u_v,u_c] = np.unique(signal_channels_elec, return_index=True, return_inverse=True, return_counts=True)
-        for i in u_v[u_i[u_c>1]]:
+        _, signal_channels_elec = map(list, zip(*(x.split(" ") for x in signal_channels[mask]["name"])))
+        [u, u_i, u_v, u_c] = np.unique(signal_channels_elec, return_index=True, return_inverse=True, return_counts=True)
+        for i in u_v[u_i[u_c > 1]]:
             mask[mask_id[np.argwhere(signal_channels_elec == u[i])[1:].flatten()]] = False
 
         signal_channels = signal_channels[mask]