From 7868df27dc168a2e1de11d86983184ce8eb88a97 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Wed, 3 Sep 2025 14:18:02 +0000
Subject: [PATCH] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 src/lerobot/datasets/lerobot_dataset.py | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/src/lerobot/datasets/lerobot_dataset.py b/src/lerobot/datasets/lerobot_dataset.py
index 9036827fa..2bd277b3b 100644
--- a/src/lerobot/datasets/lerobot_dataset.py
+++ b/src/lerobot/datasets/lerobot_dataset.py
@@ -315,13 +315,13 @@ class LeRobotDatasetMetadata:
         # Update the Hugging Face dataset by reloading it.
         # This process should be fast because only the latest Parquet file has been modified.
         # Therefore, only this file needs to be converted to PyArrow; the rest is loaded from the PyArrow memory-mapped cache.
-        
+
         # Explicitly delete old dataset to free memory before reloading
-        if hasattr(self, 'episodes') and self.episodes is not None:
+        if hasattr(self, "episodes") and self.episodes is not None:
             del self.episodes
             self.episodes = None
-            gc.collect()  
-        
+            gc.collect()
+
         self.episodes = load_episodes(self.root)
 
     def save_episode(
@@ -1059,13 +1059,13 @@ class LeRobotDataset(torch.utils.data.Dataset):
         # Update the Hugging Face dataset by reloading it.
         # This process should be fast because only the latest Parquet file has been modified.
         # Therefore, only this file needs to be converted to PyArrow; the rest is loaded from the PyArrow memory-mapped cache.
-        
+
         # Explicitly delete old dataset to free memory before reloading
-        if hasattr(self, 'hf_dataset') and self.hf_dataset is not None:
+        if hasattr(self, "hf_dataset") and self.hf_dataset is not None:
             del self.hf_dataset
             self.hf_dataset = None
             gc.collect()
-        
+
         self.hf_dataset = self.load_hf_dataset()
 
         metadata = {