From cc9ceed7f0b2933742ef4c5c443aa179122ba1fc Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Thu, 29 Aug 2024 13:10:10 +0000
Subject: [PATCH] [pre-commit.ci] auto fixes from pre-commit.com hooks

---
 moabb/datasets/erpcore2021.py | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/moabb/datasets/erpcore2021.py b/moabb/datasets/erpcore2021.py
index 377181ea0..514a3060d 100644
--- a/moabb/datasets/erpcore2021.py
+++ b/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