



def 				_lowerCAmelCase      (_lowerCAmelCase				,		_lowerCAmelCase):
					UpperCamelCase_											=				[]
					UpperCamelCase_											=				len(_lowerCamelCase)
					for i in range(_lowerCamelCase):
										UpperCamelCase_											=				[]
										for j in range(_lowerCamelCase):
															UpperCamelCase_											=				0
															for k in range(_lowerCamelCase):
																				UpperCamelCase_											=				val + matrix_a[i][k] * matrix_b[k][j]
															list_a.append(_lowerCamelCase)
										matrix_c.append(_lowerCamelCase)
					return matrix_c



def 				_lowerCAmelCase      (_lowerCAmelCase):
					return [[int(row == column) for column in range(_lowerCamelCase)] for row in range(_lowerCamelCase)]



def 				_lowerCAmelCase      (_lowerCAmelCase):





					if n <= 1:
										return n
					UpperCamelCase_											=				identity(2)
					UpperCamelCase_											=				[[1, 1], [1, 0]]
					UpperCamelCase_											=				n - 1
					while n > 0:
										if n % 2 == 1:
															UpperCamelCase_											=				multiply(_lowerCamelCase				,		_lowerCamelCase)
										UpperCamelCase_											=				multiply(_lowerCamelCase				,		_lowerCamelCase)
										UpperCamelCase_											=				int(n / 2)
					return res_matrix[0][0]



def 				_lowerCAmelCase      (_lowerCAmelCase):





					if n <= 1:
										return n
					UpperCamelCase_											=				0
					UpperCamelCase_											=				1
					for _ in range(2				,		n + 1):
										UpperCamelCase_					,      UpperCamelCase_											=				fiba, fiba + fiba
					return fiba



def 				_lowerCAmelCase      ():





					for ordinal in "0th 1st 2nd 3rd 10th 100th 1000th".split():
										UpperCamelCase_											=				int("".join(c for c in ordinal if c in "0123456789"))  # 1000th --> 1000
										print(
										    f"""{ordinal} fibonacci number using matrix exponentiation is """
										    f"""{nth_fibonacci_matrix(_lowerCamelCase)} and using bruteforce is """
										    f"""{nth_fibonacci_bruteforce(_lowerCamelCase)}\n""")
					# from timeit import timeit
					# print(timeit("nth_fibonacci_matrix(1000000)",
					#              "from main import nth_fibonacci_matrix", number=5))
					# print(timeit("nth_fibonacci_bruteforce(1000000)",
					#              "from main import nth_fibonacci_bruteforce", number=5))
					# 2.3342058970001744
					# 57.256506615000035


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()





from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments



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

					UpperCamelCase_											=				PyTorchBenchmark(args=_lowerCAmelCase)
					benchmark.run()


if __name__ == "__main__":
	main()
