Enhance/code-scanning-alerts (#115)

* Enhance/code-scanning-alerts

* Remove rendering

* Remove unused import

scripts/download-torch.py

@@ -6,15 +6,18 @@
 
 
 def main() -> None:
+ cmd = "pip install torch==1.9.1"
+
  if sys.platform == "win32" or sys.platform == "linux":
  if GPUtil.getAvailable():
- cli = "pip install torch==1.9.1+cu111 -f https://download.pytorch.org/whl/torch_stable.html"
+ cmd += "+cu111 -f https://download.pytorch.org/whl/torch_stable.html"
  else:
- cli = "pip install torch==1.9.1+cpu -f https://download.pytorch.org/whl/torch_stable.html"
+ cmd += "+cpu -f https://download.pytorch.org/whl/torch_stable.html"
  elif sys.platform == "darwin":
- cli = "pip install torch==1.9.1 -f https://download.pytorch.org/whl/torch_stable.html"
- print(cli)
- os.system(cli)
+ cmd += " -f https://download.pytorch.org/whl/torch_stable.html"
+
+ print(cmd)
+ os.system(cmd)
 
 
 if __name__ == "__main__":

src/meta_rl/envs/half_cheetah.py

@@ -1,5 +1,3 @@
-from typing import List, Union
-
 import numpy as np
 from gym import utils
 from gym.envs.mujoco import HalfCheetahEnv as HalfCheetahEnv_
@@ -30,12 +28,3 @@ def viewer_setup(self) -> None:
  self.viewer.cam.fixedcamid = camera_id
  self.viewer.cam.distance = self.model.stat.extent * 0.35
  self.viewer._hide_overlay = True
-
- def render(self, mode: str = "human") -> Union[List[float], None]:
- if mode == "rgb_array":
- self._get_viewer().render()
- width, height = 500, 500
- data = self._get_viewer().read_pixels(width, height, depth=False)
- return data
- elif mode == "human":
- self._get_viewer().render()