



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


__snake_case						:List[str]      		=     {
    '''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						:Union[str, Any]      		=     '''hopper-medium-v2'''
 __snake_case						:Optional[int]      		=     gym.make(env_name)

 __snake_case						:Optional[Any]      		=     ValueGuidedRLPipeline.from_pretrained(
     '''bglick13/hopper-medium-v2-value-function-hor32''',
     env=env,
 )

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

   # execute action in environment
   __snake_case		,__snake_case		,__snake_case		,__snake_case						:List[Any]      		=     env.step(denorm_actions)
   __snake_case						:Dict      		=     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						:Tuple      		=     next_observation
 except KeyboardInterrupt:
  pass

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










import os

try:
 from .build_directory_md import good_file_paths
except ImportError:
 from build_directory_md import good_file_paths  # type: ignore

__snake_case						:Optional[Any]      		=     list(good_file_paths())
assert filepaths, "good_file_paths() failed!"

__snake_case						:Any      		=     [file for file in filepaths if file != file.lower()]
if upper_files:
 print(f'{len(upper_files)} files contain uppercase characters:')
 print('''\n'''.join(upper_files) + '''\n''')

__snake_case						:Tuple      		=     [file for file in filepaths if ''' ''' in file]
if space_files:
 print(f'{len(space_files)} files contain space characters:')
 print('''\n'''.join(space_files) + '''\n''')

__snake_case						:Optional[int]      		=     [file for file in filepaths if '''-''' in file]
if hyphen_files:
 print(f'{len(hyphen_files)} files contain hyphen characters:')
 print('''\n'''.join(hyphen_files) + '''\n''')

__snake_case						:Optional[int]      		=     [file for file in filepaths if os.sep not in file]
if nodir_files:
 print(f'{len(nodir_files)} files are not in a directory:')
 print('''\n'''.join(nodir_files) + '''\n''')

__snake_case						:int      		=     len(upper_files + space_files + hyphen_files + nodir_files)
if bad_files:
 import sys

 sys.exit(bad_files)





