
from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments

def a__   (	):






  '''simple docstring'''





  __magic_name__    					=	HfArgumentParser(A_ )
  try:
    __magic_name__    					=	parser.parse_args_into_dataclasses()[0]
  except ValueError as e:
    __magic_name__    					=	"""Arg --no_{0} is no longer used, please use --no-{0} instead."""
    __magic_name__    					=	""" """.join(str(A_ ).split(""" """ )[:-1] )
    __magic_name__    					=	""""""
    __magic_name__    					=	eval(str(A_ ).split(""" """ )[-1] )
    __magic_name__    					=	[]
    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(A_ )
    if len(A_ ) > 0:
      __magic_name__    					=	full_error_msg + begin_error_msg + str(A_ )
    raise ValueError(A_ )

  __magic_name__    					=	PyTorchBenchmark(args=A_ )
  benchmark.run()


if __name__ == "__main__":
    main()



from itertools import compress, repeat
from math import ceil, sqrt

def a__   (	A_ ):






  '''simple docstring'''





  if num <= 2:
    return []
  if num == 3:
    return [2]

  # Odd sieve for numbers in range [3, num - 1]
  __magic_name__    					=	bytearray(b"""\x01""" ) * ((num >> 1) - 1)

  for i in range(3,					int(sqrt(A_ ) ) + 1,					2 ):
    if sieve[(i >> 1) - 1]:
      __magic_name__    					=	i**2
      __magic_name__    					=	repeat(
          0,					ceil((num - i_squared) / (i << 1) ) )

  return [2] + list(compress(range(3,					A_,					2 ),					A_ ) )


if __name__ == "__main__":
    import doctest

    doctest.testmod()

