
"""simple docstring"""






import copy
import random

from transformers import CLIPTokenizer




class 				lowercase__(				_UpperCAmelCase   ):
	'''simple docstring'''

	def __init__(						self    :Optional[int]		, *lowerCamelCase_    :Union[str, Any]		, **lowerCamelCase_    :str					)							->			Optional[int]:







			'''simple docstring'''




			super().__init__(*lowerCamelCase_		, **lowerCamelCase_					)
			SCREAMING_SNAKE_CASE       :     List[str]				= {}





	def   __lowerCAmelCase (						self    :Dict		, lowerCamelCase_    :List[Any]		, *lowerCamelCase_    :int		, **lowerCamelCase_    :Union[str, Any]					)							->			Dict:







			'''simple docstring'''




			SCREAMING_SNAKE_CASE       :     Dict				= super().add_tokens(lowerCamelCase_		, *lowerCamelCase_		, **lowerCamelCase_					)
			if num_added_tokens == 0:
					raise ValueError(
					    f"The tokenizer already contains the token {placeholder_token}. Please pass a different"
					    ''' `placeholder_token` that is not already in the tokenizer.'''					)





	def   __lowerCAmelCase (						self    :Dict		, lowerCamelCase_    :List[Any]		, *lowerCamelCase_    :Optional[Any]		, lowerCamelCase_    :str=1		, **lowerCamelCase_    :Tuple					)							->			Dict:







			'''simple docstring'''




			SCREAMING_SNAKE_CASE       :     List[str]				= []
			if num_vec_per_token == 1:
					self.try_adding_tokens(lowerCamelCase_		, *lowerCamelCase_		, **lowerCamelCase_					)
					output.append(lowerCamelCase_					)
			else:
					SCREAMING_SNAKE_CASE       :     Dict				= []
					for i in range(lowerCamelCase_					):
							SCREAMING_SNAKE_CASE       :     Optional[int]				= placeholder_token + f"_{i}"
							self.try_adding_tokens(lowerCamelCase_		, *lowerCamelCase_		, **lowerCamelCase_					)
							output.append(lowerCamelCase_					)
        # handle cases where there is a new placeholder token that contains the current placeholder token but is larger
			for token in self.token_map:
					if token in placeholder_token:
							raise ValueError(
							    f"The tokenizer already has placeholder token {token} that can get confused with"
							    f" {placeholder_token}keep placeholder tokens independent"					)
			SCREAMING_SNAKE_CASE       :     str				= output





	def   __lowerCAmelCase (						self    :Tuple		, lowerCamelCase_    :Union[str, Any]		, lowerCamelCase_    :Tuple=False		, lowerCamelCase_    :Optional[int]=1.0					)							->			Any:







			'''simple docstring'''




			if isinstance(lowerCamelCase_		, lowerCamelCase_					):
					SCREAMING_SNAKE_CASE       :     Optional[int]				= []
					for i in range(len(lowerCamelCase_					)					):
							output.append(self.replace_placeholder_tokens_in_text(text[i]		, vector_shuffle=lowerCamelCase_					)					)
					return output
			for placeholder_token in self.token_map:
					if placeholder_token in text:
							SCREAMING_SNAKE_CASE       :     List[Any]				= self.token_map[placeholder_token]
							SCREAMING_SNAKE_CASE       :     List[str]				= tokens[: 1 + int(len(lowerCamelCase_					) * prop_tokens_to_load					)]
							if vector_shuffle:
									SCREAMING_SNAKE_CASE       :     Any				= copy.copy(lowerCamelCase_					)
									random.shuffle(lowerCamelCase_					)
							SCREAMING_SNAKE_CASE       :     List[Any]				= text.replace(lowerCamelCase_		, ''' '''.join(lowerCamelCase_					)					)
			return text





	def __call__(						self    :Any		, lowerCamelCase_    :Union[str, Any]		, *lowerCamelCase_    :str		, lowerCamelCase_    :Optional[int]=False		, lowerCamelCase_    :Tuple=1.0		, **lowerCamelCase_    :Tuple					)							->			Any:







			'''simple docstring'''




			return super().__call__(
			    self.replace_placeholder_tokens_in_text(
			        lowerCamelCase_		, vector_shuffle=lowerCamelCase_		, prop_tokens_to_load=lowerCamelCase_					)		, *lowerCamelCase_		, **lowerCamelCase_		, )







	def   __lowerCAmelCase (						self    :Tuple		, lowerCamelCase_    :str		, *lowerCamelCase_    :Union[str, Any]		, lowerCamelCase_    :Optional[Any]=False		, lowerCamelCase_    :List[str]=1.0		, **lowerCamelCase_    :Union[str, Any]					)							->			Optional[int]:







			'''simple docstring'''




			return super().encode(
			    self.replace_placeholder_tokens_in_text(
			        lowerCamelCase_		, vector_shuffle=lowerCamelCase_		, prop_tokens_to_load=lowerCamelCase_					)		, *lowerCamelCase_		, **lowerCamelCase_		, )







"""simple docstring"""






import math





def __A						(   a_ :							list		,		a_ :							int     )->							int:




		'''simple docstring'''






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

		while arr[prev] < x:
				SCREAMING_SNAKE_CASE       :     Any				= prev + 1
				if prev == min(a_		,		a_     ):
						return -1
		if arr[prev] == x:
				return prev
		return -1


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





