






"""simple docstring"""



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


A__       :				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__":
						A__       :				Optional[int] 					=					'hopper-medium-v2'
						A__       :				List[str] 					=					gym.make(env_name)

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

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

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

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










"""simple docstring"""
def      __lowerCamelCase   (							a_     :		list							)			->      list:

      if len(a_							) < 2:
            return collection

      def circle_sort_util(a_     :		list ,   a_     :		int ,   a_     :		int							) -> bool:
            __SCREAMING_SNAKE_CASE   :int						=  False

            if low == high:
                  return swapped

            __SCREAMING_SNAKE_CASE   :int						=  low
            __SCREAMING_SNAKE_CASE   :Tuple						=  high

            while left < right:
                  if collection[left] > collection[right]:
                        __SCREAMING_SNAKE_CASE				,__SCREAMING_SNAKE_CASE   :str						=  (
                            collection[right],
                            collection[left],
                        )
                        __SCREAMING_SNAKE_CASE   :Optional[int]						=  True

                  left += 1
                  right -= 1

            if left == right and collection[left] > collection[right + 1]:
                  __SCREAMING_SNAKE_CASE				,__SCREAMING_SNAKE_CASE   :Tuple						=  (
                      collection[right + 1],
                      collection[left],
                  )

                  __SCREAMING_SNAKE_CASE   :Tuple						=  True

            __SCREAMING_SNAKE_CASE   :int						=  low + int((high - low) / 2							)
            __SCREAMING_SNAKE_CASE   :int						=  circle_sort_util(a_ ,   a_ ,   a_							)
            __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  circle_sort_util(a_ ,   mid + 1 ,   a_							)

            return swapped or left_swap or right_swap

      __SCREAMING_SNAKE_CASE   :Optional[Any]						=  True

      while is_not_sorted is True:
            __SCREAMING_SNAKE_CASE   :Tuple						=  circle_sort_util(a_ ,   0 ,   len(a_							) - 1							)

      return collection


if __name__ == "__main__":
  lowerCamelCase_								=		input("Enter numbers separated by a comma:\n").strip()
  lowerCamelCase_								=		[int(item) for item in user_input.split(",")]
  print(circle_sort(unsorted))