






import math



def  a__ (__lowercase							:list					,  __lowercase							:int   )		-> int:
				_A	:				int   =      len(__lowercase   )
				_A	:				Optional[Any]   =      int(math.floor(math.sqrt(__lowercase   )   )   )
				_A	:				Dict   =      0
				while arr[min(__lowercase					,  __lowercase   ) - 1] < x:
								_A	:				Tuple   =      step
								step += int(math.floor(math.sqrt(__lowercase   )   )   )
								if prev >= n:
												return -1

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


if __name__ == "__main__":
	_UpperCamelCase			:	List[Any]								=input('Enter numbers separated by a comma:\n').strip()
	_UpperCamelCase			:	int								=[int(item) for item in user_input.split(',')]
	_UpperCamelCase			:	int								=int(input('Enter the number to be searched:\n'))
	_UpperCamelCase			:	Dict								=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


_UpperCamelCase			:	Optional[int]								=logging.get_logger(__name__)

_UpperCamelCase			:	Tuple								={
    'google/canine-s': 'https://huggingface.co/google/canine-s/resolve/main/config.json',
    # See all CANINE models at https://huggingface.co/models?filter=canine
}






class 						UpperCAmelCase__ (							__snake_case							):
		__snake_case      :       Any     =   "canine"







		def __init__(					self       ,A__=768       ,A__=12       ,A__=12       ,A__=3072       ,A__="gelu"       ,A__=0.1       ,A__=0.1       ,A__=16384       ,A__=16       ,A__=0.02       ,A__=1E-12       ,A__=0       ,A__=0xE_000       ,A__=0xE_001       ,A__=4       ,A__=4       ,A__=8       ,A__=16384       ,A__=128       ,**A__       ,):
						super().__init__(pad_token_id=A__       ,bos_token_id=A__       ,eos_token_id=A__       ,**A__		)

						_A	:				int   =      max_position_embeddings
						_A	:				Dict   =      hidden_size
						_A	:				List[str]   =      num_hidden_layers
						_A	:				Optional[Any]   =      num_attention_heads
						_A	:				Optional[Any]   =      intermediate_size
						_A	:				Optional[Any]   =      hidden_act
						_A	:				str   =      hidden_dropout_prob
						_A	:				Optional[int]   =      attention_probs_dropout_prob
						_A	:				Union[str, Any]   =      initializer_range
						_A	:				Dict   =      type_vocab_size
						_A	:				Optional[Any]   =      layer_norm_eps

						# Character config:
						_A	:				Union[str, Any]   =      downsampling_rate
						_A	:				List[str]   =      upsampling_kernel_size
						_A	:				str   =      num_hash_functions
						_A	:				Optional[Any]   =      num_hash_buckets
						_A	:				Optional[Any]   =      local_transformer_stride



