From e91a773b9335fdc478c178c6e4110b00e4e0ef68 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Tue, 2 Sep 2025 12:10:50 +0000
Subject: [PATCH] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 docs/source/libero.mdx | 36 ++++++++++++++++++------------------
 1 file changed, 18 insertions(+), 18 deletions(-)

diff --git a/docs/source/libero.mdx b/docs/source/libero.mdx
index c52f8a376..a88b82b91 100644
--- a/docs/source/libero.mdx
+++ b/docs/source/libero.mdx
@@ -67,14 +67,14 @@ python src/lerobot/scripts/eval.py \
 When using LIBERO through LeRobot, policies interact with the environment via **observations** and **actions**:
 
 - **Observations**
-    - `observation.state` – proprioceptive features (agent state).
-    - `observation.images.image` – main camera view (`agentview_image`).
-    - `observation.images.image2` – wrist camera view (`robot0_eye_in_hand_image`).
-    
-    ⚠️ **Note:** LeRobot enforces the `.images.*` prefix for any visual features. Make sure your dataset metadata keys match this convention when evaluating.
-    
+  - `observation.state` – proprioceptive features (agent state).
+  - `observation.images.image` – main camera view (`agentview_image`).
+  - `observation.images.image2` – wrist camera view (`robot0_eye_in_hand_image`).
+
+  ⚠️ **Note:** LeRobot enforces the `.images.*` prefix for any visual features. Make sure your dataset metadata keys match this convention when evaluating.
+
 - **Actions**
-    - Continuous control values in a `Box(-1, 1, shape=(7,))` space.
+  - Continuous control values in a `Box(-1, 1, shape=(7,))` space.
 
 We also provide a notebook for quick testing:
 Training with LIBERO
@@ -92,16 +92,16 @@ observation.images.image2 → wrist camera (robot0_eye_in_hand_image)
 
 Example training command
 python src/lerobot/scripts/train.py \
-  --policy.type=smolvla \
-  --dataset.repo_id=jadechoghari/smol-libero3 \
-  --env.type=libero \
-  --env.task=libero_10,libero_spatial \
-  --output_dir=./outputs/ \
-  --steps=100000 \
-  --batch_size=4 \
-  --env.multitask_eval=True \
-  --eval.batch_size=1 \
-  --eval.n_episodes=1
+ --policy.type=smolvla \
+ --dataset.repo_id=jadechoghari/smol-libero3 \
+ --env.type=libero \
+ --env.task=libero_10,libero_spatial \
+ --output_dir=./outputs/ \
+ --steps=100000 \
+ --batch_size=4 \
+ --env.multitask_eval=True \
+ --eval.batch_size=1 \
+ --eval.n_episodes=1
 
 Note on rendering
 
@@ -109,4 +109,4 @@ LeRobot uses MuJoCo for simulation. You need to set the rendering backend before
 
 export MUJOCO_GL=egl → for headless servers (e.g. HPC, cloud)
 
-export MUJOCO_GL=glfw → for local runs with a display
\ No newline at end of file
+export MUJOCO_GL=glfw → for local runs with a display