





"""simple docstring"""





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


lowerCAmelCase__   	=	{
    '''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__":
						lowerCAmelCase__   	=	'''hopper-medium-v2'''
						lowerCAmelCase__   	=	gym.make(env_name)

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

						env.seed(0)
						lowerCAmelCase__   	=	env.reset()
						lowerCAmelCase__   	=	0
						lowerCAmelCase__   	=	0
						lowerCAmelCase__   	=	1_000
						lowerCAmelCase__   	=	[obs.copy()]
						try:
												for t in tqdm.tqdm(range(T)):
																		# call the policy
																		lowerCAmelCase__   	=	pipeline(obs, planning_horizon=32)

																		# execute action in environment
																		lowerCAmelCase__   	=	env.step(denorm_actions)
																		lowerCAmelCase__   	=	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())

																		lowerCAmelCase__   	=	next_observation
						except KeyboardInterrupt:
												pass

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











import copy
from dataclasses import dataclass
from pathlib import Path
from typing import Dict, Optional, Union

@dataclass
class     _A       :
       UpperCamelCase__  :    Optional[Union[str, Path]]											=						None
       UpperCamelCase__  :    bool											=						False
       UpperCamelCase__  :    bool											=						False
       UpperCamelCase__  :    bool											=						False
       UpperCamelCase__  :    Optional[Dict]											=						None
       UpperCamelCase__  :    Optional[str]											=						None
       UpperCamelCase__  :    bool											=						False
       UpperCamelCase__  :    bool											=						False
       UpperCamelCase__  :    bool											=						False
       UpperCamelCase__  :    bool											=						True
       UpperCamelCase__  :    Optional[int]											=						None
       UpperCamelCase__  :    int											=						1
       UpperCamelCase__  :    Optional[Union[str, bool]]											=						None
       UpperCamelCase__  :    bool											=						False
       UpperCamelCase__  :    Optional[Dict]											=						None
       UpperCamelCase__  :    Optional[str]											=						None



       def 		_lowerCamelCase			(		self							:     Union[str, Any]):


           '''simple docstring'''

           return self.__class__(**{k: copy.deepcopy(__SCREAMING_SNAKE_CASE) for k, v in self.__dict__.items()})





