





import torch

from transformers import AutoTokenizer

class 		snake_case_      (       UpperCAmelCase_	):







	'''simple docstring'''




	def __init__(	self       :    Union[str, Any]				,			__lowerCamelCase       :    Tuple      )					->   List[Any]:

			'''simple docstring'''




			__lowercase					=    AutoTokenizer.from_pretrained(__lowerCamelCase      )




	def       UpperCAmelCase (	self       :    List[Any]				,			__lowerCamelCase       :    Any      )					->   List[Any]:

			'''simple docstring'''




			if isinstance(__lowerCamelCase				,			__lowerCamelCase      ) and all(isinstance(_x				,			__lowerCamelCase      ) for _x in x      ):
					__lowercase					=    None
					for l in x:
							__lowercase					=    self.tokenizer(
							    __lowerCamelCase				,			padding='max_length'				,			max_length=384				,			truncation=__lowerCamelCase				,			return_tensors='pt'				,			)
							__lowercase					=    torch.tensor([len(__lowerCamelCase      )]      )
							if d is not None:
									for k in d.keys():
											__lowercase					=    torch.cat((d[k], t[k])				,			0      )
							else:
									__lowercase					=    t

					__lowercase					=    torch.tensor(self.tokenizer.convert_tokens_to_ids('[E]'      )      )
					__lowercase					=    torch.tensor(self.tokenizer.convert_tokens_to_ids('[/E]'      )      )

			elif isinstance(__lowerCamelCase				,			__lowerCamelCase      ) and all(isinstance(_x				,			__lowerCamelCase      ) for _x in x      ):
					__lowercase					=    self.tokenizer(
					    __lowerCamelCase				,			padding='max_length'				,			max_length=384				,			truncation=__lowerCamelCase				,			return_tensors='pt'				,			)

			else:
					raise Exception(
					    'Type of parameter x was not recognized! Only `list of strings` for query or `list of lists of'
					    ' strings` for supports are supported.'      )

			return d






	def       UpperCAmelCase (	self       :    Tuple				,			__lowerCamelCase       :    Optional[int]				,			__lowerCamelCase       :    Tuple				,			__lowerCamelCase       :    List[Any]				,			__lowerCamelCase       :    Dict				,			__lowerCamelCase       :    int=0.70      )					->   Any:

			'''simple docstring'''




			__lowercase					=    []
			for idx in range(len(W_query['input_ids']      )      ):
					__lowercase					=    __lowercase					=    range(p_start.shape[1]      )

					__lowercase					=    []
					for start_id in start_indexes:
							for end_id in end_indexes:
									if start_id < end_id:
											output.append(
											    (
											        start_id,
											        end_id,
											        p_start[idx][start_id].item(),
											        p_end[idx][end_id].item(),
											    )      )

					output.sort(key=lambda __lowerCamelCase      : (tup[2] * tup[3])				,			reverse=__lowerCamelCase      )
					__lowercase					=    []
					for k in range(len(__lowerCamelCase      )      ):
							if output[k][2] * output[k][3] >= thresh:
									__lowercase	,			__lowercase					=    output[k][0], output[k][1]
									__lowercase					=    self.tokenizer.decode(W_query['input_ids'][idx][c_start_pos:c_end_pos]      )
									temp.append((decoded, output[k][2] * output[k][3])      )

					final_outputs.append(__lowerCamelCase      )

			return final_outputs











SCREAMING_SNAKE_CASE_      :			str		  =      [chr(i) for i in range(32, 126)]
SCREAMING_SNAKE_CASE_      :			Any		  =      list(range(len(alphabets)))
SCREAMING_SNAKE_CASE_      :			Any		  =      list(range(len(alphabets)))
SCREAMING_SNAKE_CASE_      :			List[str]		  =      list(range(len(alphabets)))
SCREAMING_SNAKE_CASE_      :			Dict		  =      list(reversed(range(len(alphabets))))
SCREAMING_SNAKE_CASE_      :			int		  =      []
SCREAMING_SNAKE_CASE_      :			Union[str, Any]		  =      0



def    SCREAMING_SNAKE_CASE							(			)		->						int:
		global gear_one_pos
		global gear_two_pos
		global gear_three_pos
		__lowercase					=    gear_one[0]
		gear_one.append(snake_case       )
		del gear_one[0]
		gear_one_pos += 1
		if gear_one_pos % int(len(snake_case       )       ) == 0:
				__lowercase					=    gear_two[0]
				gear_two.append(snake_case       )
				del gear_two[0]
				gear_two_pos += 1
				if gear_two_pos % int(len(snake_case       )       ) == 0:
						__lowercase					=    gear_three[0]
						gear_three.append(snake_case       )
						del gear_three[0]
						gear_three_pos += 1



def    SCREAMING_SNAKE_CASE							(			snake_case       )		->						int:
		__lowercase					=    alphabets.index(snake_case       )
		__lowercase					=    gear_one[target]
		__lowercase					=    gear_two[target]
		__lowercase					=    gear_three[target]
		__lowercase					=    reflector[target]
		__lowercase					=    gear_three.index(snake_case       )
		__lowercase					=    gear_two.index(snake_case       )
		__lowercase					=    gear_one.index(snake_case       )
		code.append(alphabets[target]       )
		rotator()


if __name__ == "__main__":
		SCREAMING_SNAKE_CASE_      :			Tuple		  =      list(input('''Type your message:\n'''))
		while True:
				try:
						SCREAMING_SNAKE_CASE_      :			List[str]		  =      int(input('''Please set token:(must be only digits)\n'''))
						break
				except Exception as error:
						print(error)
		for _ in range(token):
				rotator()
		for j in decode:
				engine(j)
		print('''\n''' + ''''''.join(code))
		print(
		    F"""\nYour Token is {token} please write it down.\nIf you want to decode """
		    '''this message again you should input same digits as token!'''
		)




