

import math






def 					lowerCamelCase_     (							UpperCAmelCase_							:     list							,       UpperCAmelCase_							:     int	)						->				int:




	'''simple docstring'''




	_UpperCamelCase   :		Dict			=						len(UpperCAmelCase_	)
	_UpperCamelCase   :		List[Any]			=						int(math.floor(math.sqrt(UpperCAmelCase_	)	)	)
	_UpperCamelCase   :		Union[str, Any]			=						0
	while arr[min(UpperCAmelCase_							,       UpperCAmelCase_	) - 1] < x:
		_UpperCamelCase   :		List[Any]			=						step
		step += int(math.floor(math.sqrt(UpperCAmelCase_	)	)	)
		if prev >= n:
			return -1

	while arr[prev] < x:
		_UpperCamelCase   :		int			=						prev + 1
		if prev == min(UpperCAmelCase_							,       UpperCAmelCase_	):
			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 ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase__								=		logging.get_logger(__name__)

lowerCAmelCase__								=		{
    """facebook/vit-mae-base""": """https://huggingface.co/facebook/vit-mae-base/resolve/main/config.json""",
    # See all ViT MAE models at https://huggingface.co/models?filter=vit-mae
}







class 	lowercase    (				_lowercase							):


		"""simple docstring"""




		a__					       =  "vit_mae"


		def __init__(				self	,       __snake_case=7_68	,       __snake_case=12	,       __snake_case=12	,       __snake_case=30_72	,       __snake_case="gelu"	,       __snake_case=0.0	,       __snake_case=0.0	,       __snake_case=0.0_2	,       __snake_case=1e-12	,       __snake_case=2_24	,       __snake_case=16	,       __snake_case=3	,       __snake_case=True	,       __snake_case=16	,       __snake_case=5_12	,       __snake_case=8	,       __snake_case=20_48	,       __snake_case=0.7_5	,       __snake_case=False	,       **__snake_case	,       ):
			super().__init__(**__snake_case)

			_UpperCamelCase   :		Optional[int]			=						hidden_size
			_UpperCamelCase   :		Optional[int]			=						num_hidden_layers
			_UpperCamelCase   :		Tuple			=						num_attention_heads
			_UpperCamelCase   :		List[str]			=						intermediate_size
			_UpperCamelCase   :		str			=						hidden_act
			_UpperCamelCase   :		List[str]			=						hidden_dropout_prob
			_UpperCamelCase   :		List[Any]			=						attention_probs_dropout_prob
			_UpperCamelCase   :		str			=						initializer_range
			_UpperCamelCase   :		Any			=						layer_norm_eps
			_UpperCamelCase   :		int			=						image_size
			_UpperCamelCase   :		Any			=						patch_size
			_UpperCamelCase   :		List[Any]			=						num_channels
			_UpperCamelCase   :		Union[str, Any]			=						qkv_bias
			_UpperCamelCase   :		str			=						decoder_num_attention_heads
			_UpperCamelCase   :		Union[str, Any]			=						decoder_hidden_size
			_UpperCamelCase   :		Union[str, Any]			=						decoder_num_hidden_layers
			_UpperCamelCase   :		Any			=						decoder_intermediate_size
			_UpperCamelCase   :		int			=						mask_ratio
			_UpperCamelCase   :		List[Any]			=						norm_pix_loss




