





"""simple docstring"""





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


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

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

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

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

      __A											=		next_observation
  except KeyboardInterrupt:
    pass

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



"""simple docstring"""





import os
from collections.abc import Iterator

def   __SCREAMING_SNAKE_CASE  (      A_ = "." ):
	for dir_path, dir_names, filenames in os.walk(A_ ):
		lowerCAmelCase__	:						str  				=	[d for d in dir_names if d != '''scripts''' and d[0] not in '''._''']
		for filename in filenames:
			if filename == "__init__.py":
				continue
			if os.path.splitext(A_ )[1] in (".py", ".ipynb"):
				yield os.path.join(A_						,     A_ ).lstrip('''./''' )

def   __SCREAMING_SNAKE_CASE  (      A_ ):
	return f'{i * "  "}*' if i else "\n##"

def   __SCREAMING_SNAKE_CASE  (      A_						,     A_ ):
	lowerCAmelCase__	:						Optional[Any]  				=	old_path.split(os.sep )
	for i, new_part in enumerate(new_path.split(os.sep ) ):
		if (i + 1 > len(A_ ) or old_parts[i] != new_part) and new_part:
			print(f'{md_prefix(A_ )} {new_part.replace("_"						,     " " ).title()}' )
	return new_path

def   __SCREAMING_SNAKE_CASE  (      A_ = "." ):
	lowerCAmelCase__	:						Any  				=	''''''
	for filepath in sorted(good_file_paths(A_ ) ):
		lowerCAmelCase__				,lowerCAmelCase__	:						str  				=	os.path.split(A_ )
		if filepath != old_path:
			lowerCAmelCase__	:						str  				=	print_path(A_						,     A_ )
		lowerCAmelCase__	:						str  				=	(filepath.count(os.sep ) + 1) if filepath else 0
		lowerCAmelCase__	:						Union[str, Any]  				=	f'{filepath}/{filename}'.replace(''' '''						,     '''%20''' )
		lowerCAmelCase__	:						List[str]  				=	os.path.splitext(filename.replace('''_'''						,     ''' ''' ).title() )[0]
		print(f'{md_prefix(A_ )} [{filename}]({url})' )


if __name__ == "__main__":
							print_directory_md('''.''')




