
"""simple docstring"""




_UpperCAmelCase :			str              =	256
# Modulus to hash a string
_UpperCAmelCase :			Optional[Any]              =	1_000_003


def 				A	( lowercase   ,	lowercase			)       ->  List[str]:
		'''simple docstring'''

		UpperCamelCase          =					len(_a			)
		UpperCamelCase          =					len(_a			)
		if p_len > t_len:
				return False

		UpperCamelCase          =					0
		UpperCamelCase          =					0
		UpperCamelCase          =					1

		# Calculating the hash of pattern and substring of text
		for i in range(_a			):
				UpperCamelCase          =					(ord(pattern[i]			) + p_hash * alphabet_size) % modulus
				UpperCamelCase          =					(ord(text[i]			) + text_hash * alphabet_size) % modulus
				if i == p_len - 1:
						continue
				UpperCamelCase          =					(modulus_power * alphabet_size) % modulus

		for i in range(0   ,	t_len - p_len + 1			):
				if text_hash == p_hash and text[i : i + p_len] == pattern:
						return True
				if i == t_len - p_len:
						continue
				# Calculate the https://en.wikipedia.org/wiki/Rolling_hash
				UpperCamelCase          =					(
				    (text_hash - ord(text[i]			) * modulus_power) * alphabet_size
				    + ord(text[i + p_len]			)
				) % modulus
		return False


def 				A	( )       ->  str:
		'''simple docstring'''

		UpperCamelCase          =					'abc1abc12'
		UpperCamelCase          =					'alskfjaldsabc1abc1abc12k23adsfabcabc'
		UpperCamelCase          =					'alskfjaldsk23adsfabcabc'
		assert rabin_karp(_a   ,	_a			) and not rabin_karp(_a   ,	_a			)

		# Test 2)
		UpperCamelCase          =					'ABABX'
		UpperCamelCase          =					'ABABZABABYABABX'
		assert rabin_karp(_a   ,	_a			)

		# Test 3)
		UpperCamelCase          =					'AAAB'
		UpperCamelCase          =					'ABAAAAAB'
		assert rabin_karp(_a   ,	_a			)

		# Test 4)
		UpperCamelCase          =					'abcdabcy'
		UpperCamelCase          =					'abcxabcdabxabcdabcdabcy'
		assert rabin_karp(_a   ,	_a			)

		# Test 5)
		UpperCamelCase          =					'Lü'
		UpperCamelCase          =					'Lüsai'
		assert rabin_karp(_a   ,	_a			)
		UpperCamelCase          =					'Lue'
		assert not rabin_karp(_a   ,	_a			)
		print('Success.'			)


if __name__ == "__main__":
					test_rabin_karp()


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


_UpperCAmelCase :			Optional[Any]              =	{
    "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__":
					_UpperCAmelCase :			int              =	"hopper-medium-v2"
					_UpperCAmelCase :			Tuple              =	gym.make(env_name)

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

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

															# execute action in environment
															_UpperCAmelCase       ,_UpperCAmelCase       ,_UpperCAmelCase       ,_UpperCAmelCase :			List[Any]              =	env.step(denorm_actions)
															_UpperCAmelCase :			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())

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

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