






'''simple docstring'''

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


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

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

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

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

               SCREAMING_SNAKE_CASE__						=     next_observation
     except KeyboardInterrupt:
          pass

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








'''simple docstring'''

def 					lowercase__				(   __UpperCamelCase	,		__UpperCamelCase					)->				str:
      if not isinstance(__UpperCamelCase	,		__UpperCamelCase					):
            raise ValueError("""iterations must be defined as integers"""					)
      if not isinstance(__UpperCamelCase	,		__UpperCamelCase					) or not number >= 1:
            raise ValueError(
                """starting number must be
                         and integer and be more than 0"""					)
      if not iterations >= 1:
            raise ValueError("""Iterations must be done more than 0 times to play FizzBuzz"""					)

      UpperCamelCase       						=      """"""
      while number <= iterations:
            if number % 3 == 0:
                  out += "Fizz"
            if number % 5 == 0:
                  out += "Buzz"
            if 0 not in (number % 3, number % 5):
                  out += str(__UpperCamelCase					)

            # print(out)
            number += 1
            out += " "
      return out


if __name__ == "__main__":
     import doctest

     doctest.testmod()
