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


a  :      List[str]            =    {
    """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__":
 a  :      Optional[Any]            =    """hopper-medium-v2"""
 a  :      str            =    gym.make(env_name)

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

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

   # execute action in environment
   a     , a     , a     , a  :      str            =    env.step(denorm_actions)
   a  :      int            =    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  :      Optional[Any]            =    next_observation
 except KeyboardInterrupt:
  pass

 print(f'''Total reward: {total_reward}''')
def 		snake_case__	(		lowercase							,				lowercase					):
   lowerCAmelCase_:							list[list[str]]       =	[[] for _ in range(lowercase					)]
   lowerCAmelCase_:							Optional[Any]       =	key - 1

   if key <= 0:
      raise ValueError("Height of grid can't be 0 or negative"					)
   if key == 1 or len(lowercase					) <= key:
      return input_string

   for position, character in enumerate(lowercase					):
      lowerCAmelCase_:							Optional[Any]       =	position % (lowest * 2)  # puts it in bounds
      lowerCAmelCase_:							Any       =	min(lowercase							,				lowest * 2 - num					)  # creates zigzag pattern
      temp_grid[num].append(lowercase					)
   lowerCAmelCase_:							Optional[int]       =	["".join(lowercase					) for row in temp_grid]
   lowerCAmelCase_:							int       =	"".join(lowercase					)

   return output_string
def 		snake_case__	(		lowercase							,				lowercase					):
   lowerCAmelCase_:							Tuple       =	[]
   lowerCAmelCase_:							str       =	key - 1

   if key <= 0:
      raise ValueError("Height of grid can't be 0 or negative"					)
   if key == 1:
      return input_string

   lowerCAmelCase_:							list[list[str]]       =	[[] for _ in range(lowercase					)]  # generates template
   for position in range(len(lowercase					)					):
      lowerCAmelCase_:							List[str]       =	position % (lowest * 2)  # puts it in bounds
      lowerCAmelCase_:							Optional[int]       =	min(lowercase							,				lowest * 2 - num					)  # creates zigzag pattern
      temp_grid[num].append("*"					)

   lowerCAmelCase_:							Optional[Any]       =	0
   for row in temp_grid:  # fills in the characters
      lowerCAmelCase_:							Tuple       =	input_string[counter : counter + len(lowercase					)]
      grid.append(list(lowercase					)					)
      counter += len(lowercase					)

   lowerCAmelCase_:							int       =	""  # reads as zigzag
   for position in range(len(lowercase					)					):
      lowerCAmelCase_:							str       =	position % (lowest * 2)  # puts it in bounds
      lowerCAmelCase_:							Optional[int]       =	min(lowercase							,				lowest * 2 - num					)  # creates zigzag pattern
      output_string += grid[num][0]
      grid[num].pop(0					)
   return output_string
def 		snake_case__	(		lowercase					):
   lowerCAmelCase_:							Dict       =	{}
   for key_guess in range(1							,				len(lowercase					)					):  # tries every key
      lowerCAmelCase_:							int       =	decrypt(lowercase							,				lowercase					)
   return results


if __name__ == "__main__":
 import doctest

 doctest.testmod()