
import math






def      _A				(UpperCamelCase		:      list      ,			UpperCamelCase		:      int )  ->int:



			'''simple docstring'''







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

			while arr[prev] < x:
						lowerCamelCase__ :      Dict								=		prev + 1
						if prev == min(UpperCamelCase      ,			UpperCamelCase ):
									return -1
			if arr[prev] == x:
						return prev
			return -1


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








from ... import PretrainedConfig


_lowercase     							=						{
    '''sijunhe/nezha-cn-base''': '''https://huggingface.co/sijunhe/nezha-cn-base/resolve/main/config.json''',
}
class 				__A					( A_      ):
			UpperCamelCase					:Optional[Any]     =			NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP
			UpperCamelCase					:int     =			'''nezha'''





			def __init__(self							,    __magic_name__=21128							,    __magic_name__=768							,    __magic_name__=12							,    __magic_name__=12							,    __magic_name__=3072							,    __magic_name__="gelu"							,    __magic_name__=0.1							,    __magic_name__=0.1							,    __magic_name__=512							,    __magic_name__=64							,    __magic_name__=2							,    __magic_name__=0.02							,    __magic_name__=1E-12							,    __magic_name__=0.1							,    __magic_name__=0							,    __magic_name__=2							,    __magic_name__=3							,    __magic_name__=True							,    **__magic_name__							,    ):
						super().__init__(pad_token_id=__magic_name__							,    bos_token_id=__magic_name__							,    eos_token_id=__magic_name__							,    **__magic_name__				)

						lowerCamelCase__ :      List[str]								=		vocab_size
						lowerCamelCase__ :      int								=		hidden_size
						lowerCamelCase__ :      int								=		num_hidden_layers
						lowerCamelCase__ :      Optional[int]								=		num_attention_heads
						lowerCamelCase__ :      Dict								=		hidden_act
						lowerCamelCase__ :      str								=		intermediate_size
						lowerCamelCase__ :      Optional[Any]								=		hidden_dropout_prob
						lowerCamelCase__ :      Dict								=		attention_probs_dropout_prob
						lowerCamelCase__ :      str								=		max_position_embeddings
						lowerCamelCase__ :      Optional[Any]								=		max_relative_position
						lowerCamelCase__ :      Optional[int]								=		type_vocab_size
						lowerCamelCase__ :      Optional[Any]								=		initializer_range
						lowerCamelCase__ :      Any								=		layer_norm_eps
						lowerCamelCase__ :      Union[str, Any]								=		classifier_dropout
						lowerCamelCase__ :      Union[str, Any]								=		use_cache



