




import torch

from transformers import AutoTokenizer


class        __SCREAMING_SNAKE_CASE							(	lowerCamelCase						):

					def __init__(       self				, __lowercase      ):







						'''simple docstring'''




						lowerCamelCase_							:	int							     =							AutoTokenizer.from_pretrained(__lowercase      )

					def 			lowercase_							(       self				, __lowercase      ):







						'''simple docstring'''




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

							lowerCamelCase_							:	Dict							     =							torch.tensor(self.tokenizer.convert_tokens_to_ids('[E]'      )      )
							lowerCamelCase_							:	str							     =							torch.tensor(self.tokenizer.convert_tokens_to_ids('[/E]'      )      )

						elif isinstance(__lowercase				, __lowercase      ) and all(isinstance(_x				, __lowercase      ) for _x in x      ):
							lowerCamelCase_							:	str							     =							self.tokenizer(
							    __lowercase				, padding='max_length'				, max_length=384				, truncation=__lowercase				, 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 			lowercase_							(       self				, __lowercase				, __lowercase				, __lowercase				, __lowercase				, __lowercase=0.70      ):







						'''simple docstring'''




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

							lowerCamelCase_							:	Dict							     =							[]
							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 __lowercase      : (tup[2] * tup[3])				, reverse=__lowercase      )
							lowerCamelCase_							:	List[str]							     =							[]
							for k in range(len(__lowercase      )      ):
								if output[k][2] * output[k][3] >= thresh:
									lowerCamelCase_     ,    lowerCamelCase_							:	Tuple							     =							output[k][0], output[k][1]
									lowerCamelCase_							:	Any							     =							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(__lowercase      )

						return final_outputs






def       snake_case      (							A = 998001    )							->							int:




	'''simple docstring'''


	for number in range(n - 1		,     9999		,     -1    ):
		lowerCamelCase_							:	Tuple							     =							str(A    )

		# checks whether 'str_number' is a palindrome.
		if str_number == str_number[::-1]:
			lowerCamelCase_							:	Tuple							     =							999

			# if 'number' is a product of two 3-digit numbers
			# then number is the answer otherwise fetch next number.
			while divisor != 99:
				if (number % divisor == 0) and (len(str(number // divisor    )    ) == 3.0):
					return number
				divisor -= 1
	raise ValueError('That number is larger than our acceptable range.'    )


if __name__ == "__main__":
							print(F'{solution() = }')
