update pre-commit

.github/ISSUE_TEMPLATE/proposal.md

@@ -6,7 +6,7 @@ title: "[Proposal] Proposal title"
 
 
 
-### Proposal 
+### Proposal
 
 A clear and concise description of the proposal.
 

.github/stale.yml

@@ -59,4 +59,4 @@ only: issues
 
 # issues:
 #   exemptLabels:
-#     - confirmed
+#     - confirmed

.github/workflows/build-docs-dev.yml

@@ -46,4 +46,4 @@ jobs:
         with:
           folder: _build
           target-folder: main
-          clean: false
+          clean: false

.github/workflows/build-docs-version.yml

@@ -59,4 +59,4 @@ jobs:
           folder: _build
           clean-exclude: |
             *.*.*/
-            main
+            main

.github/workflows/build-publish.yml

@@ -54,4 +54,3 @@ jobs:
         uses: pypa/gh-action-pypi-publish@release/v1
         with:
           password: ${{ secrets.PYPI_API_TOKEN }}
-

.github/workflows/build.yml

@@ -9,7 +9,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: ['3.8', '3.9', '3.10', '3.11', '3.12']
+        python-version: ['3.8', '3.9', '3.10', '3.11', "3.12"]
     steps:
       - uses: actions/checkout@v2
       - run: |

.github/workflows/manual-build-docs-version.yml

@@ -71,4 +71,4 @@ jobs:
           folder: _build
           clean-exclude: |
             *.*.*/
-            main
+            main

.gitignore

@@ -41,4 +41,4 @@ vizdoom.ini
 # docs
 docs/envs/**/*.*
 !docs/envs/**/index.md
-_build/
+_build/

.pre-commit-config.yaml

@@ -1,16 +1,30 @@
+# See https://pre-commit.com for more information
+# See https://pre-commit.com/hooks.html for more hooks
 repos:
-  - repo: https://github.com/python/black
-    rev: 22.3.0
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v5.0.0
     hooks:
-      - id: black
+      - id: check-symlinks
+      - id: destroyed-symlinks
+      - id: trailing-whitespace
+      - id: end-of-file-fixer
+      - id: check-yaml
+      - id: check-toml
+      - id: check-ast
+      - id: check-added-large-files
+      - id: check-merge-conflict
+      - id: check-executables-have-shebangs
+      - id: check-shebang-scripts-are-executable
+      - id: detect-private-key
+      - id: debug-statements
   - repo: https://github.com/codespell-project/codespell
-    rev: v2.1.0
+    rev: v2.3.0
     hooks:
       - id: codespell
         exclude: .svg
         args:
           - --ignore-words-list=nd,reacher,thist,ths, arry
-  - repo: https://github.com/pycqa/flake8
+  - repo: https://github.com/PyCQA/flake8
     rev: 7.1.1
     hooks:
       - id: flake8
@@ -21,16 +35,31 @@ repos:
           - --max-line-length=456
           - --show-source
           - --statistics
+  - repo: https://github.com/asottile/pyupgrade
+    rev: v3.18.0
+    hooks:
+      - id: pyupgrade
+        args: ["--py38-plus"]
   - repo: https://github.com/PyCQA/isort
-    rev: 5.12.0
+    rev: 5.13.2
     hooks:
       - id: isort
         args: ["--profile", "black"]
-  - repo: https://github.com/asottile/pyupgrade
-    rev: v2.32.0
+  - repo: https://github.com/python/black
+    rev: 24.10.0
     hooks:
-      - id: pyupgrade
-        args: ["--py38-plus"]
+      - id: black
+  - repo: https://github.com/pycqa/pydocstyle
+    rev: 6.3.0
+    hooks:
+      - id: pydocstyle
+        exclude: ^(tests/envs/hand)|(tests/test_envs.py)|(tests/__init__.py)|(tests/utils.py)|(tests/envs/__init__.py)|(docs)|(gymnasium_robotics/utils)|(gymnasium_robotics/envs/fetch)|(gymnasium_robotics/envs/shadow_dexterous_hand)|(gymnasium_robotics/envs/maze)|(gymnasium_robotics/envs/adroit_hand)|(gymnasium_robotics/envs/franka_kitchen)
+        args:
+          - --convention=google
+          - --add-ignore=D100
+          - --source
+          - --explain
+        additional_dependencies: ["tomli"]
   - repo: local
     hooks:
       - id: pyright
@@ -42,11 +71,3 @@ repos:
         additional_dependencies: ["[email protected]"]
         args:
           - --project=pyproject.toml
-  - repo: https://github.com/pycqa/pydocstyle
-    rev: 6.1.1
-    hooks:
-      - id: pydocstyle
-        exclude: ^(tests/envs/hand)|(tests/test_envs.py)|(tests/__init__.py)|(tests/utils.py)|(tests/envs/__init__.py)|(docs)|(gymnasium_robotics/utils)|(gymnasium_robotics/envs/fetch)|(gymnasium_robotics/envs/shadow_dexterous_hand)|(gymnasium_robotics/envs/maze)|(gymnasium_robotics/envs/adroit_hand)|(gymnasium_robotics/envs/franka_kitchen)
-        args:
-          - --convention=google
-          - --add-ignore=D100

CODE_OF_CONDUCT.rst

@@ -65,5 +65,3 @@ Attribution
 -----------
 This Code of Conduct is adapted from `Python's Code of Conduct <https://www.python.org/psf/conduct/>`_, which is under a `Creative Commons License
 <https://creativecommons.org/licenses/by-sa/3.0/>`_.
-
-

README.md

@@ -16,7 +16,7 @@ The documentation website is at [robotics.farama.org](https://robotics.farama.or
 
 To install the Gymnasium-Robotics environments use `pip install gymnasium-robotics`
 
-These environments also require the MuJoCo engine from Deepmind to be installed. Instructions to install the physics engine can be found at the [MuJoCo website](https://mujoco.org/) and the [MuJoCo Github repository](https://github.com/deepmind/mujoco).  
+These environments also require the MuJoCo engine from Deepmind to be installed. Instructions to install the physics engine can be found at the [MuJoCo website](https://mujoco.org/) and the [MuJoCo Github repository](https://github.com/deepmind/mujoco).
 
 Note that the latest environment versions use the latest mujoco python bindings maintained by the MuJoCo team. If you wish to use the old versions of the environments that depend on [mujoco-py](https://github.com/openai/mujoco-py), please install this library with `pip install gymnasium-robotics[mujoco-py]`
 
@@ -28,7 +28,7 @@ We support and test for Linux and macOS. We will accept PRs related to Windows,
 
 * [Fetch](https://robotics.farama.org/envs/fetch/) - A collection of environments with a 7-DoF robot arm that has to perform manipulation tasks such as Reach, Push, Slide or Pick and Place.
 * [Shadow Dexterous Hand](https://robotics.farama.org/envs/shadow_dexterous_hand/) - A collection of environments with a 24-DoF anthropomorphic robotic hand that has to perform object manipulation tasks with a cube, egg-object, or pen. There are variations of these environments that also include data from 92 touch sensors in the observation space.
-* [MaMuJoCo](https://robotics.farama.org/envs/MaMuJoCo/) - A collection of multi agent factorizations of the [Gymnasium/MuJoCo](https://gymnasium.farama.org/environments/mujoco/) environments and a framework for factorizing robotic environments, uses the [pettingzoo.ParallelEnv](https://pettingzoo.farama.org/api/parallel/) API. 
+* [MaMuJoCo](https://robotics.farama.org/envs/MaMuJoCo/) - A collection of multi agent factorizations of the [Gymnasium/MuJoCo](https://gymnasium.farama.org/environments/mujoco/) environments and a framework for factorizing robotic environments, uses the [pettingzoo.ParallelEnv](https://pettingzoo.farama.org/api/parallel/) API.
 
 The [D4RL](https://github.com/Farama-Foundation/D4RL) environments are now available. These environments have been refactored and may not have the same action/observation spaces as the original, please read their documentation:
 
@@ -76,7 +76,7 @@ substitute_truncated = env.compute_truncated(obs["achieved_goal"], substitute_go
 The `GoalEnv` class can also be used for custom environments.
 
 ## Project Maintainers
-Main Contributors: [Rodrigo Perez-Vicente](https://github.com/rodrigodelazcano), [Kallinteris Andreas](https://github.com/Kallinteris-Andreas), [Jet Tai](https://github.com/jjshoots) 
+Main Contributors: [Rodrigo Perez-Vicente](https://github.com/rodrigodelazcano), [Kallinteris Andreas](https://github.com/Kallinteris-Andreas), [Jet Tai](https://github.com/jjshoots)
 
 Maintenance for this project is also contributed by the broader Farama team: [farama.org/team](https://farama.org/team).
 

docs/_static/css/env_pages.css

@@ -32,4 +32,4 @@
     width: 240px;
     margin: 12px auto;
     display: block;
-}
+}

docs/content/installation.md

@@ -7,7 +7,7 @@ lastpage:
 
 To install the Gymnasium-Robotics environments use `pip install gymnasium-robotics`
 
-These environments also require the MuJoCo engine from Deepmind to be installed. Instructions to install the physics engine can be found at the [MuJoCo website](https://mujoco.org/) and the [MuJoCo Github repository](https://github.com/deepmind/mujoco).  
+These environments also require the MuJoCo engine from Deepmind to be installed. Instructions to install the physics engine can be found at the [MuJoCo website](https://mujoco.org/) and the [MuJoCo Github repository](https://github.com/deepmind/mujoco).
 
 Note that the latest environment versions use the latest mujoco python bindings maintained by the MuJoCo team. If you wish to use the old versions of the environments that depend on [mujoco-py](https://github.com/openai/mujoco-py), please install this library with `pip install gymnasium-robotics[mujoco-py]`
 

docs/content/multi-goal_api.md

@@ -54,4 +54,4 @@ The `GoalEnv` class can also be used for custom environments.
 .. autofunction:: gymnasium_robotics.core.GoalEnv.compute_reward
 .. autofunction:: gymnasium_robotics.core.GoalEnv.compute_terminated
 .. autofunction:: gymnasium_robotics.core.GoalEnv.compute_truncated
-```
+```

docs/envs/MaMuJoCo/index.md

@@ -83,7 +83,7 @@ Here we are Factorizing the "[Boston Dynamics Spot with arm](https://bostondynam
 We are using the robot model from [MuJoCo Menagerie](https://github.com/google-deepmind/mujoco_menagerie/tree/main/boston_dynamics_spot).
 
 ```{figure} figures/boston_dymanics_spot_arm.png
-    :name: Boston Dymanics Spot Arm factorization
+    :name: Boston Dynamics Spot Arm factorization
 ```
 
 ```python
@@ -179,7 +179,7 @@ env = mamujoco_v1.parallel_env(
     xml_file="./mujoco_menagerie/boston_dynamics_spot/scene_arm.xml",
 )
 ```
-Of course, you also need to add new elements to the environment and define your task, to do something useful. 
+Of course, you also need to add new elements to the environment and define your task, to do something useful.
 
 
 

docs/envs/MaMuJoCo/ma_ant.md

@@ -9,7 +9,7 @@ lastpage:
 	<p align="center">
 		<img src="https://gymnasium.farama.org/_images/ant.gif" alt="ant" width="200"/>
 	</p>
-</html> 
+</html>
 
 This Environment is part of [MaMuJoCo](https://robotics.farama.org/envs/MaMuJoCo/) environments. Please read that page first for general information.
 The task is [Gymansium's MuJoCo/Ant](https://gymnasium.farama.org/environments/mujoco/ant/).
@@ -151,7 +151,7 @@ The environment is partitioned in 4 parts, with each part corresponding to a leg
 
 ## Observation Space
 | Observation Categories ||
-|-----------------------|------------------------------------------------------|			
+|-----------------------|------------------------------------------------------|
 | Default `local_categories` | `[["qpos", "qvel"], ["qpos"]]` |
 | Default `global_categories` | `("qpos", "qvel")` |
 | Supported observation categories | `"qpos", "qvel", "cfrc_ext"` |

docs/envs/MaMuJoCo/ma_coupled_half_cheetah.md

@@ -83,7 +83,7 @@ The environment is partitioned in 2 parts, one part corresponding to the first c
 ## Observation Space
 
 | Observation Categories ||
-|-----------------------|------------------------------------------------------|			
+|-----------------------|------------------------------------------------------|
 | Default `local_categories` | `[["qpos", "qvel", "ten_J", "ten_length,ten_velocity"], ["qpos"]]` |
 | Default `global_categories` | `("qpos", "qvel")` |
 | Supported observation categories | `"qpos", "qvel", "ten_J", "ten_length,ten_velocity"` |
@@ -117,4 +117,3 @@ Changes from the original `MaMuJoCo` ([schroederdewitt/multiagent_mujoco](https:
 	- Added/Fixed Global observations (The Cheetahes's front tips: `rootx`s, `rooty`s, `rootz`s) not being observed.
  	- Improved node naming
 	- Changed action ordering to be same as [Gymnasium/MuJoCo/HalfCheetah](https://gymnasium.farama.org/environments/mujoco/half_cheetah/#action-space)
-

docs/envs/MaMuJoCo/ma_half_cheetah.md

@@ -9,7 +9,7 @@ lastpage:
 	<p align="center">
 		<img src="https://gymnasium.farama.org/_images/half_cheetah.gif" alt="Half Cheetah" width="200"/>
 	</p>
-</html> 
+</html>
 
 This Environment is part of [MaMuJoCo](https://robotics.farama.org/envs/MaMuJoCo/) environments. Please read that page first for general information.
 The task is [Gymansium's MuJoCo/Half Cheetah](https://gymnasium.farama.org/environments/mujoco/half_cheetah/).
@@ -42,7 +42,7 @@ If partitioning, is `None`, then the environment contains a single agent with th
 | 4   | Torque applied on the front shin rotor  | -1          | 1           | fshin                            | hinge | torque (N m) |
 | 5   | Torque applied on the front foot rotor  | -1          | 1           | ffoot                            | hinge | torque (N m) |
 
-### if partitioning == "2x3":  # front and back 
+### if partitioning == "2x3":  # front and back
 ```{figure} figures/half_cheetah_2x3.png
     :name: half_cheetah_2x3
 ```
@@ -113,7 +113,7 @@ The environment is partitioned in 6 parts, each part corresponding to a single j
 
 ## Observation Space
 | Observation Categories ||
-|-----------------------|------------------------------------------------------|			
+|-----------------------|------------------------------------------------------|
 | Default `local_categories` | `[["qpos", "qvel"], ["qpos"]]` |
 | Default `global_categories` | `("qpos", "qvel")` |
 | Supported observation categories | `"qpos", "qvel"` |
@@ -144,5 +144,3 @@ All agent terminate and truncate at the same time, given the same conditions as
 Changes from the original `MaMuJoCo` ([schroederdewitt/multiagent_mujoco](https://github.com/schroederdewitt/multiagent_mujoco)):
 	- Added/Fixed Global observations (The Cheetah's front tip: `rootx`, `rooty`, `rootz`) not being observed.
 	- Changed action ordering to be same as [Gymnasium/MuJoCo/HalfCheetah](https://gymnasium.farama.org/environments/mujoco/half_cheetah/#action-space)
-
-

docs/envs/MaMuJoCo/ma_hopper.md

@@ -9,7 +9,7 @@ lastpage:
 	<p align="center">
 		<img src="https://gymnasium.farama.org/_images/hopper.gif" alt="Hopper" width="200"/>
 	</p>
-</html> 
+</html>
 
 This Environment is part of [MaMuJoCo](https://robotics.farama.org/envs/MaMuJoCo/) environments. Please read that page first for general information.
 The task is [Gymansium's MuJoCo/Hopper](https://gymnasium.farama.org/environments/mujoco/hopper/).
@@ -73,7 +73,7 @@ The environment is partitioned in 3 parts, each part corresponding to a single j
 
 ## Observation Space
 | Observation Categories ||
-|-----------------------|------------------------------------------------------|			
+|-----------------------|------------------------------------------------------|
 | Default `local_categories` | `[["qpos", "qvel"], ["qpos"]]` |
 | Default `global_categories` | `("qpos", "qvel")` |
 | Supported observation categories | `"qpos", "qvel"` |

docs/envs/MaMuJoCo/ma_humanoid.md

@@ -9,7 +9,7 @@ lastpage:
 	<p align="center">
 		<img src="https://gymnasium.farama.org/_images/humanoid.gif" alt="Humanoid" width="200"/>
 	</p>
-</html> 
+</html>
 
 This Environment is part of [MaMuJoCo](https://robotics.farama.org/envs/MaMuJoCo/) environments. Please read that page first for general information.
 The task is [Gymansium's MuJoCo/Humanoid](https://gymnasium.farama.org/environments/mujoco/humanoid/).
@@ -98,7 +98,7 @@ The environment is partitioned in 2 parts, one part corresponding to the upper b
 
 ## Observation Space
 | Observation Categories ||
-|-----------------------|------------------------------------------------------|			
+|-----------------------|------------------------------------------------------|
 | Default `local_categories` | `[["qpos", "qvel", "cinert", "cvel", "qfrc_actuator", "cfrc_ext"], ["qpos"]]` |
 | Default `global_categories` | `("qpos", "qvel", "cinert", "cvel", "qfrc_actuator", "cfrc_ext")` |
 | Supported observation categories | `"qpos", "qvel", "cinert", "cvel", "qfrc_actuator", "cfrc_ext"` |
@@ -132,4 +132,3 @@ Changes from the original `MaMuJoCo` ([schroederdewitt/multiagent_mujoco](https:
 	- Fixed abdomen observations ordering.
 	- Added support for body observations (`cvel`, `cinert`, `cfrc_ext`)
 	- Changed action ordering to be same as [Gymnasium/MuJoCo/Humanoid](https://gymnasium.farama.org/environments/mujoco/humanoid/#action-space)
-

docs/envs/MaMuJoCo/ma_humanoid_standup.md

@@ -9,7 +9,7 @@ lastpage:
 	<p align="center">
 		<img src="https://gymnasium.farama.org/_images/humanoid_standup.gif" alt="Humanoid Standup" width="200"/>
 	</p>
-</html> 
+</html>
 
 This Environment is part of [MaMuJoCo](https://robotics.farama.org/envs/MaMuJoCo/) environments. Please read that page first for general information.
 The task is [Gymansium's MuJoCo/Humanoid Standup](https://gymnasium.farama.org/environments/mujoco/humanoid_standup/).
@@ -98,7 +98,7 @@ The environment is partitioned in 2 parts, one part corresponding to the upper b
 
 ## Observation Space
 | Observation Categories ||
-|-----------------------|------------------------------------------------------|			
+|-----------------------|------------------------------------------------------|
 | Default `local_categories` | `[["qpos", "qvel", "cinert", "cvel", "qfrc_actuator", "cfrc_ext"], ["qpos"]]` |
 | Default `global_categories` | `("qpos", "qvel", "cinert", "cvel", "qfrc_actuator", "cfrc_ext")` |
 | Supported observation categories | `"qpos", "qvel", "cinert", "cvel", "qfrc_actuator", "cfrc_ext"` |

docs/envs/MaMuJoCo/ma_multiagentswimmer.md

@@ -48,7 +48,7 @@ The environment is partitioned in `${Number Of Agents}` parts, with each part co
 
 ## Observation Space
 | Observation Categories ||
-|-----------------------|------------------------------------------------------|			
+|-----------------------|------------------------------------------------------|
 | Default `local_categories` | `[["qpos", "qvel"], ["qpos"]]` |
 | Default `global_categories` | `("qpos", "qvel")` |
 | Supported observation categories | `"qpos", "qvel"` |
@@ -78,4 +78,3 @@ All agent terminate and truncate at the same time, given the same conditions as
 	- Now uses the same `option.timestep` as `Gymansum/Swimmer` (0.01).
 	- Updated model to work with `mujoco>=3.0.0`.
 * v0: Initial version release, uses [Gymnasium.MuJoCo-v4](https://gymnasium.farama.org/environments/mujoco/), and is a fork of the original MaMuJoCo [schroederdewitt/multiagent_mujoco](https://github.com/schroederdewitt/multiagent_mujoco).
-

docs/envs/MaMuJoCo/ma_pusher.md

@@ -9,7 +9,7 @@ lastpage:
 	<p align="center">
 		<img src="https://gymnasium.farama.org/_images/pusher.gif" alt="Pusher" width="200"/>
 	</p>
-</html> 
+</html>
 
 This Environment is part of [MaMuJoCo](https://robotics.farama.org/envs/MaMuJoCo/) environments. Please read that page first for general information.
 The task is [Gymansium's MuJoCo/Pusher](https://gymnasium.farama.org/environments/mujoco/pusher/).
@@ -82,7 +82,7 @@ The environment is partitioned in 3 parts, one part corresponding to the shoulde
 
 ## Observation Space
 | Observation Categories ||
-|-----------------------|------------------------------------------------------|			
+|-----------------------|------------------------------------------------------|
 | Default `local_categories` | `[["qpos", "qvel"], ["qpos"]]` |
 | Default `global_categories` | `("qpos", "qvel")` |
 | Supported observation categories | `"qpos", "qvel"` |