add swig setup dependency and remove unrar/swig from github scripts (#…

…321)

* add swig setup dependency and remove unrar/swig from github scripts

* remove box2d dependency

* remove box2d envs from tests

.github/workflows/python-package.yml

@@ -25,8 +25,7 @@ jobs:
  python-version: ${{ matrix.python-version }}
  - name: Install dependencies
  run: |
- sudo apt-get install swig
- sudo apt-get install unrar
+ python -m pip install --upgrade pip
  pip install torch~=2.0 --extra-index-url https://download.pytorch.org/whl/cpu
  make install
  - name: Lint code

.github/workflows/python-publish.yml

@@ -25,8 +25,6 @@ jobs:
  - name: Install dependencies
  run: |
  python -m pip install --upgrade pip
- sudo apt-get install swig
- sudo apt-get install unrar
  pip install torch~=2.0 --extra-index-url https://download.pytorch.org/whl/cpu
  pip install setuptools wheel
  make install

all/presets/continuous_test.py

@@ -11,12 +11,12 @@
 
 class TestContinuousPresets(unittest.TestCase):
  def setUp(self):
- self.env = GymEnvironment("LunarLanderContinuous-v2")
+ self.env = GymEnvironment("MountainCarContinuous-v0")
  self.env.reset()
  self.parallel_env = DuplicateEnvironment(
  [
- GymEnvironment("LunarLanderContinuous-v2"),
- GymEnvironment("LunarLanderContinuous-v2"),
+ GymEnvironment("MountainCarContinuous-v0"),
+ GymEnvironment("MountainCarContinuous-v0"),
  ]
  )
  self.parallel_env.reset()

all/scripts/train_continuous.py

@@ -9,7 +9,7 @@ def main():
  continuous,
  GymEnvironment,
  description="Train an agent on a continuous control environment.",
- env_help="The name of the environment (e.g., LunarLanderContinuous-v2).",
+ env_help="The name of the environment (e.g., MountainCarContinuous-v0).",
  default_frames=10e6,
  )
 

integration/continuous_test.py

@@ -10,16 +10,16 @@ class TestContinuousPresets(unittest.TestCase):
  def test_ddpg(self):
  validate_agent(
  ddpg.device("cpu").hyperparameters(replay_start_size=50),
- GymEnvironment("LunarLanderContinuous-v2"),
+ GymEnvironment("MountainCarContinuous-v0"),
  )
 
  def test_ppo(self):
- validate_agent(ppo.device("cpu"), GymEnvironment("LunarLanderContinuous-v2"))
+ validate_agent(ppo.device("cpu"), GymEnvironment("MountainCarContinuous-v0"))
 
  def test_sac(self):
  validate_agent(
  sac.device("cpu").hyperparameters(replay_start_size=50),
- GymEnvironment("LunarLanderContinuous-v2"),
+ GymEnvironment("MountainCarContinuous-v0"),
  )
 
  def test_mujoco(self):

setup.py

@@ -8,9 +8,6 @@
  "atari": [
  f"gymnasium[atari, accept-rom-license]~={GYMNASIUM_VERSION}",
  ],
- "box2d": [
- f"gymnasium[box2d]~={GYMNASIUM_VERSION}",
- ],
  "pybullet": [
  "pybullet>=3.2.2,<4",
  "gym>=0.10.0,<0.26.0",
@@ -37,11 +34,7 @@
 }
 
 extras["all"] = (
- extras["atari"]
- + extras["box2d"]
- + extras["mujoco"]
- + extras["pybullet"]
- + extras["ma-atari"]
+ extras["atari"] + extras["mujoco"] + extras["pybullet"] + extras["ma-atari"]
 )
 extras["dev"] = extras["all"] + extras["test"] + extras["docs"]
 
@@ -75,7 +68,7 @@
  "numpy~=1.22", # math library
  "matplotlib~=3.7", # plotting library
  "opencv-python-headless~=4.0", # used by atari wrappers
- "torch~=2.0", # core deep learning library
+ "torch~=2.2", # core deep learning library
  "tensorboard~=2.8", # logging and visualization
  "cloudpickle~=2.0", # used to copy environments
  ],