






def   lowerCamelCase__			(     lowercase				):

  """simple docstring"""






  SCREAMING_SNAKE_CASE       :      Optional[int]							=    (1 + 24 * n) ** 0.5
  return ((1 + root) / 6) % 1 == 0


def   lowerCamelCase__			(     lowercase = 5000				):

  """simple docstring"""






  SCREAMING_SNAKE_CASE       :      Any							=    [(i * (3 * i - 1)) // 2 for i in range(1						,     lowercase				)]
  for i, pentagonal_i in enumerate(lowercase				):
    for j in range(lowercase						,     len(lowercase				)				):
      SCREAMING_SNAKE_CASE       :      Any							=    pentagonal_nums[j]
      SCREAMING_SNAKE_CASE       :      Optional[int]							=    pentagonal_i + pentagonal_j
      SCREAMING_SNAKE_CASE       :      int							=    pentagonal_j - pentagonal_i
      if is_pentagonal(lowercase				) and is_pentagonal(lowercase				):
        return b

  return -1


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














from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments


def   lowerCamelCase__			(     ):

  """simple docstring"""






  SCREAMING_SNAKE_CASE       :      List[Any]							=    HfArgumentParser(lowercase				)
  SCREAMING_SNAKE_CASE       :      Any							=    parser.parse_args_into_dataclasses()[0]
  SCREAMING_SNAKE_CASE       :      Optional[Any]							=    TensorFlowBenchmark(args=lowercase				)
  try:
    SCREAMING_SNAKE_CASE       :      Union[str, Any]							=    parser.parse_args_into_dataclasses()[0]
  except ValueError as e:
    SCREAMING_SNAKE_CASE       :      int							=    "Arg --no_{0} is no longer used, please use --no-{0} instead."
    SCREAMING_SNAKE_CASE       :      Optional[int]							=    " ".join(str(lowercase				).split(" "				)[:-1]				)
    SCREAMING_SNAKE_CASE       :      Union[str, Any]							=    ""
    SCREAMING_SNAKE_CASE       :      Any							=    eval(str(lowercase				).split(" "				)[-1]				)
    SCREAMING_SNAKE_CASE       :      List[str]							=    []
    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:
      SCREAMING_SNAKE_CASE       :      Optional[int]							=    full_error_msg + begin_error_msg + str(lowercase				)
    raise ValueError(lowercase				)
  benchmark.run()


if __name__ == "__main__":
   main()






