





import darl  # noqa
import gym
import tqdm
from diffusers.experimental import ValueGuidedRLPipeline


snake_case_           =     {
    """n_samples""": 64,
    """horizon""": 32,
    """num_inference_steps""": 20,
    """n_guide_steps""": 2,  # can set to 0 for faster sampling, does not use value network
    """scale_grad_by_std""": True,
    """scale""": 0.1,
    """eta""": 0.0,
    """t_grad_cutoff""": 2,
    """device""": """cpu""",
}


if __name__ == "__main__":
    snake_case_           =     """hopper-medium-v2"""
    snake_case_           =     gym.make(env_name)

    snake_case_           =     ValueGuidedRLPipeline.from_pretrained(
        'bglick13/hopper-medium-v2-value-function-hor32',
        env=env,
    )

    env.seed(0)
    snake_case_           =     env.reset()
    snake_case_           =     0
    snake_case_           =     0
    snake_case_           =     1000
    snake_case_           =     [obs.copy()]
    try:
        for t in tqdm.tqdm(range(T)):
            # call the policy
            snake_case_           =     pipeline(obs, planning_horizon=32)

            # execute action in environment
            snake_case_           =     env.step(denorm_actions)
            snake_case_           =     env.get_normalized_score(total_reward)

            # update return
            total_reward += reward
            total_score += score
            print(
                F'Step: {t}, Reward: {reward}, Total Reward: {total_reward}, Score: {score}, Total Score:'
                F' {total_score}'
            )

            # save observations for rendering
            rollout.append(next_observation.copy())

            snake_case_           =     next_observation
    except KeyboardInterrupt:
        pass

    print(F'Total reward: {total_reward}')





'''simple docstring'''



import argparse


A__						:   Optional[Any]				=    """docs/source/_static/js/custom.js"""



def      UpperCAmelCase__   (      UpperCAmelCase_       :							Optional[int]				)	->						int:
     with open(UpperCAmelCase_ ,       encoding='utf-8' ,       newline='\n'				) as f:
          __lowerCamelCase  :      Dict														=						f.readlines()
     __lowerCamelCase  :      Tuple														=						0

     # First let's put the right version
     while not lines[index].startswith('const stableVersion ='				):
          index += 1
     __lowerCamelCase  :      Dict														=						F'const stableVersion = "v{version}"\n'

     # Then update the dictionary
     while not lines[index].startswith('const versionMapping = {'				):
          index += 1

     # We go until the end
     while not lines[index].startswith('}'				):
          index += 1
     # We add the new version at the end
     lines[index - 1] += F'    "v{version}": "v{version}",\n'

     with open(UpperCAmelCase_ ,       'w' ,       encoding='utf-8' ,       newline='\n'				) as f:
          f.writelines(UpperCAmelCase_				)


if __name__ == "__main__":
      A__						:   str				=    argparse.ArgumentParser()
      parser.add_argument("""--version""", help="""Release version.""")
      A__						:   Any				=    parser.parse_args()
      update_custom_js(args.version)






