class_docstr: HalfCheetah Environment with two diff tasks, moving forwards or backwards
  
  Direction is defined as a scalar: +1.0 (forwards) or -1.0 (backwards)
class_docstr_tok: ["HalfCheetah","Environment","with","two","diff","tasks",",","moving","forwards","or","backwards","Direction","is","defined","as","a","scalar",":","+1.0","(","forwards",")","or","-1.0","(","backwards",")"]
code: def _get_obs(self):
      return np.concatenate(
          [
              self.sim.data.qpos.flat[1:],
              self.sim.data.qvel.flat,
          ]
      )
  
file_path: ray/python/ray/rllib/examples/env/halfcheetah_rand_direc.py
imports: from gymnasium.envs.mujoco.mujoco_env import MujocoEnv
  from gymnasium.utils import EzPickle
  import numpy
  from ray.rllib.env.apis.task_settable_env import TaskSettableEnv
label_desc: Use image node_id 6 for calling the HalfCheetahRandDirecEnv obj's underlying member method code with example usage: obj._get_obs() and returns: np