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

moabb/datasets/erpcore2021.py

@@ -454,7 +454,7 @@ def encoding(self, events_df):
 
         # Apply the encoding function to each row
         encoded_column = events_df.apply(self.encode_event, axis=1)
-        
+
         # Create the mapping dictionary
         mapping = {
             "Stimulus - faces": "Target",
@@ -541,7 +541,7 @@ def encoding(self, events_df):
 
         # Drop rows corresponding to the responses
         events_df.drop(events_df[events_df["value"].isin([201, 202])].index, inplace=True)
-        
+
         # Drop rows which correspond to trial_type = STATUS
         events_df.drop(events_df[events_df["trial_type"] == "STATUS"].index, inplace=True)
 
@@ -720,7 +720,7 @@ def encoding(self, events_df):
 
         # Apply the encoding function to each row
         encoded_column = events_df.apply(self.encode_event, axis=1)
-        
+
         # Create the mapping dictionary
         # Target : Stimulus - related word pair,
         # NonTarget : Stimulus - unrelated word pair
@@ -801,7 +801,7 @@ def encoding(self, events_df):
 
         # Apply the encoding function to each row
         encoded_column = events_df.apply(self.encode_event, axis=1)
-        
+
         # Create the mapping dictionary
         # Target: Correct response
         # NonTarget: Incorrect response,
@@ -884,10 +884,10 @@ def encoding(self, events_df):
 
         # Drop rows which correspond to trial_type = STATUS
         events_df.drop(events_df[events_df["trial_type"] == "STATUS"].index, inplace=True)
-        
+
         # Apply the encoding function to each row
         encoded_column = events_df.apply(self.encode_event, axis=1)
-        
+
         # Create the mapping dictionary
         # Target: Response - left
         # NonTarget: Response - right