






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


__UpperCAmelCase							:   int							=  {
    "n_samples": 6_4,
    "horizon": 3_2,
    "num_inference_steps": 2_0,
    "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__":
	__UpperCAmelCase							:   str							=  "hopper-medium-v2"
	__UpperCAmelCase							:   Optional[int]							=  gym.make(env_name)

	__UpperCAmelCase							:   List[Any]							=  ValueGuidedRLPipeline.from_pretrained(
	    "bglick13/hopper-medium-v2-value-function-hor32",
	    env=env,
	)

	env.seed(0)
	__UpperCAmelCase							:   List[str]							=  env.reset()
	__UpperCAmelCase							:   List[Any]							=  0
	__UpperCAmelCase							:   int							=  0
	__UpperCAmelCase							:   List[str]							=  1_0_0_0
	__UpperCAmelCase							:   str							=  [obs.copy()]
	try:
		for t in tqdm.tqdm(range(T)):
			# call the policy
			__UpperCAmelCase							:   List[str]							=  pipeline(obs, planning_horizon=3_2)

			# execute action in environment
			__UpperCAmelCase						,						__UpperCAmelCase						,						__UpperCAmelCase						,						__UpperCAmelCase							:   Dict							=  env.step(denorm_actions)
			__UpperCAmelCase							:   List[Any]							=  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())

			__UpperCAmelCase							:   Union[str, Any]							=  next_observation
	except KeyboardInterrupt:
		pass

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







def 					lowercase_ (    __snake_case     :							int      )     -> bool:





				'''simple docstring'''


				if p < 2:
								raise ValueError("p should not be less than 2!"      )
				elif p == 2:
								return True

				snake_case__      :List[str]         =   4
				snake_case__      :Optional[int]         =   (1 << p) - 1
				for _ in range(p - 2      ):
								snake_case__      :List[Any]         =   ((s * s) - 2) % m
				return s == 0


if __name__ == "__main__":
	print(lucas_lehmer_test(7))
	print(lucas_lehmer_test(1_1))