



'''simple docstring'''



import math
from datetime import datetime, timedelta
def 					UpperCAmelCase   (						A  :				int				):
							SCREAMING_SNAKE_CASE					:      Tuple     					=			year % 19
							SCREAMING_SNAKE_CASE					:      List[Any]     					=			year % 4
							SCREAMING_SNAKE_CASE					:      str     					=			year % 7
							SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			math.floor(year / 100				)
							SCREAMING_SNAKE_CASE					:      int     					=			math.floor((13 + 8 * leap_day_inhibits) / 25				)
							SCREAMING_SNAKE_CASE					:      Dict     					=			leap_day_inhibits / 4
							SCREAMING_SNAKE_CASE					:      Tuple     					=			(
							    15 - lunar_orbit_correction + leap_day_inhibits - leap_day_reinstall_number
							) % 30
							SCREAMING_SNAKE_CASE					:      List[str]     					=			(4 + leap_day_inhibits - leap_day_reinstall_number) % 7

							# days to be added to March 21
							SCREAMING_SNAKE_CASE					:      List[Any]     					=			(19 * metonic_cycle + secular_moon_shift) % 30

							# PHM -> Paschal Full Moon
							SCREAMING_SNAKE_CASE					:      int     					=			(
							    2 * julian_leap_year
							    + 4 * non_leap_year
							    + 6 * days_to_add
							    + century_starting_point
							) % 7

							if days_to_add == 29 and days_from_phm_to_sunday == 6:
														return datetime(A					,		4					,		19				)
							elif days_to_add == 28 and days_from_phm_to_sunday == 6:
														return datetime(A					,		4					,		18				)
							else:
														return datetime(A					,		3					,		22				) + timedelta(
														    days=int(days_to_add + days_from_phm_to_sunday				)				)


if __name__ == "__main__":
							for year in (1994, 2000, 2010, 2021, 2023):
														lowerCAmelCase_     :       Tuple								=						'will be' if year > datetime.now().year else 'was'
														print(f'Easter in {year} {tense} {gauss_easter(year)}')









'''simple docstring'''



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


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

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

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

																					# execute action in environment
																					lowerCAmelCase_			,							lowerCAmelCase_			,							lowerCAmelCase_			,							lowerCAmelCase_     :       Union[str, Any]								=						env.step(denorm_actions)
																					lowerCAmelCase_     :       Optional[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())

																					lowerCAmelCase_     :       Union[str, Any]								=						next_observation
							except KeyboardInterrupt:
														pass

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




