
import math



def 					lowerCAmelCase__							(	SCREAMING_SNAKE_CASE_:							list	,       SCREAMING_SNAKE_CASE_:							int      )			->      Optional[Any]:




				'''simple docstring'''





				A__        =			len(snake_case__      )
				A__        =			int(math.floor(math.sqrt(snake_case__      )      )      )
				A__        =			0
				while arr[min(snake_case__	,       snake_case__      ) - 1] < x:
								A__        =			step
								step += int(math.floor(math.sqrt(snake_case__      )      )      )
								if prev >= n:
												return -1

				while arr[prev] < x:
								A__        =			prev + 1
								if prev == min(snake_case__	,       snake_case__      ):
												return -1
				if arr[prev] == x:
								return prev
				return -1


if __name__ == "__main__":
	lowerCAmelCase__	   = input("""Enter numbers separated by a comma:\n""").strip()
	lowerCAmelCase__	   = [int(item) for item in user_input.split(""",""")]
	lowerCAmelCase__	   = int(input("""Enter the number to be searched:\n"""))
	lowerCAmelCase__	   = jump_search(arr, x)
	if res == -1:
		print("""Number not found!""")
	else:
		print(f"""Number {x} is at index {res}""")




from ..utils import is_flax_available, is_torch_available


if is_torch_available():
	from .autoencoder_kl import AutoencoderKL
	from .controlnet import ControlNetModel
	from .dual_transformer_ad import DualTransformeraDModel
	from .modeling_utils import ModelMixin
	from .prior_transformer import PriorTransformer
	from .ta_film_transformer import TaFilmDecoder
	from .transformer_ad import TransformeraDModel
	from .unet_ad import UNetaDModel
	from .unet_ad import UNetaDModel
	from .unet_ad_condition import UNetaDConditionModel
	from .unet_ad_condition import UNetaDConditionModel
	from .vq_model import VQModel

if is_flax_available():
	from .controlnet_flax import FlaxControlNetModel
	from .unet_ad_condition_flax import FlaxUNetaDConditionModel
	from .vae_flax import FlaxAutoencoderKL

