



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_  ):
			lowercase__					  =				0

			# if input_string is "aba" than new_input_string become "a|b|a"
			lowercase__					  =				""
			lowercase__					  =				""

			# append each character + "|" in new_string for range(0, length-1)
			for i in input_string[: len(SCREAMING_SNAKE_CASE_  ) - 1]:
						new_input_string += i + "|"
			# append last character
			new_input_string += input_string[-1]

			# we will store the starting and ending of previous furthest ending palindromic
			# substring
			lowercase__  ,       lowercase__					  =				0, 0

			# length[i] shows the length of palindromic substring with center i
			lowercase__					  =				[1 for i in range(len(SCREAMING_SNAKE_CASE_  )  )]

			# for each character in new_string find corresponding palindromic string
			lowercase__					  =				0
			for j in range(len(SCREAMING_SNAKE_CASE_  )  ):
						lowercase__					  =				1 if j > r else min(length[l + r - j] // 2						,  r - j + 1  )
						while (
						    j - k >= 0
						    and j + k < len(SCREAMING_SNAKE_CASE_  )
						    and new_input_string[k + j] == new_input_string[j - k]
						):
									k += 1

						lowercase__					  =				2 * k - 1

						# does this string is ending after the previously explored end (that is r) ?
						# if yes the update the new r to the last index of this
						if j + k - 1 > r:
									lowercase__					  =				j - k + 1  # noqa: E741
									lowercase__					  =				j + k - 1

						# update max_length and start position
						if max_length < length[j]:
									lowercase__					  =				length[j]
									lowercase__					  =				j

    # create that string
			lowercase__					  =				new_input_string[start - max_length // 2 : start + max_length // 2 + 1]
			for i in s:
						if i != "|":
									output_string += i

			return output_string


if __name__ == "__main__":
							import doctest

							doctest.testmod()









from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments



def __lowerCAmelCase (     ):
			lowercase__					  =				HfArgumentParser(SCREAMING_SNAKE_CASE_  )
			lowercase__					  =				parser.parse_args_into_dataclasses()[0]
			lowercase__					  =				TensorFlowBenchmark(args=SCREAMING_SNAKE_CASE_  )
			try:
						lowercase__					  =				parser.parse_args_into_dataclasses()[0]
			except ValueError as e:
						lowercase__					  =				"Arg --no_{0} is no longer used, please use --no-{0} instead."
						lowercase__					  =				" ".join(str(SCREAMING_SNAKE_CASE_  ).split(" "  )[:-1]  )
						lowercase__					  =				""
						lowercase__					  =				eval(str(SCREAMING_SNAKE_CASE_  ).split(" "  )[-1]  )
						lowercase__					  =				[]
						for arg in depreciated_args:
									# arg[2:] removes '--'
									if arg[2:] in TensorFlowBenchmark.deprecated_args:
												# arg[5:] removes '--no_'
												full_error_msg += arg_error_msg.format(arg[5:]  )
									else:
												wrong_args.append(SCREAMING_SNAKE_CASE_  )
						if len(SCREAMING_SNAKE_CASE_  ) > 0:
									lowercase__					  =				full_error_msg + begin_error_msg + str(SCREAMING_SNAKE_CASE_  )
						raise ValueError(SCREAMING_SNAKE_CASE_  )
			benchmark.run()


if __name__ == "__main__":
							main()




