



'''simple docstring'''


from __future__ import annotations

lowercase_      :				str   					=							[True] * 100_0001
lowercase_      :				int   					=							2
while i * i <= 100_0000:
						if seive[i]:
												for j in range(i * i, 100_0001, i):
																		lowercase_      :				int   					=							False
						i += 1







def      SCREAMING_SNAKE_CASE				(				lowercase_    :      Dict						):
						return seive[n]







def      SCREAMING_SNAKE_CASE				(				lowercase_    :      Union[str, Any]						):
						return any(digit in """02468""" for digit in str(a__						)						)







def      SCREAMING_SNAKE_CASE				(				lowercase_    :      Dict = 100_0000						):
						lowercase        =							[2]  # result already includes the number 2.
						for num in range(3 ,  limit + 1 ,  2						):
												if is_prime(a__						) and not contains_an_even_digit(a__						):
																		lowercase        =							str(a__						)
																		lowercase        =							[int(str_num[j:] + str_num[:j]						) for j in range(len(a__						)						)]
																		if all(is_prime(a__						) for i in list_nums						):
																								result.append(a__						)
						return result







def      SCREAMING_SNAKE_CASE				(				):
						return len(find_circular_primes()						)


if __name__ == "__main__":
						print(f'''{len(find_circular_primes()) = }''')







'''simple docstring'''


from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments







def      SCREAMING_SNAKE_CASE				(				):
						lowercase        =							HfArgumentParser(lowercase_						)
						lowercase        =							parser.parse_args_into_dataclasses()[0]
						lowercase        =							TensorFlowBenchmark(args=lowercase_						)
						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(lowercase_						).split(""" """						)[:-1]						)
												lowercase        =							""""""
												lowercase        =							eval(str(lowercase_						).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(lowercase_						)
												if len(lowercase_						) > 0:
																		lowercase        =							full_error_msg + begin_error_msg + str(lowercase_						)
												raise ValueError(lowercase_						)
						benchmark.run()


if __name__ == "__main__":
						main()


