




"""simple docstring"""



def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		Dict:
 A__	=    [1]

 A__	=    0, 0, 0
 A__	=    ugly_nums[ia] * 2
 A__	=    ugly_nums[ia] * 3
 A__	=    ugly_nums[ia] * 5

 for _ in range(1      ,			_A						):
  A__	=    min(_A      ,			_A      ,			_A						)
  ugly_nums.append(_A						)
  if next_num == next_a:
   ia += 1
   A__	=    ugly_nums[ia] * 2
  if next_num == next_a:
   ia += 1
   A__	=    ugly_nums[ia] * 3
  if next_num == next_a:
   ia += 1
   A__	=    ugly_nums[ia] * 5
 return ugly_nums[-1]


if __name__ == "__main__":
      from doctest import testmod

      testmod(verbose=True)
      print(f'{ugly_numbers(200) = }')











"""simple docstring"""



SCREAMING_SNAKE_CASE    =	"\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n"

SCREAMING_SNAKE_CASE    =	[{"type": "code", "content": INSTALL_CONTENT}]
SCREAMING_SNAKE_CASE    =	{
    "{processor_class}": "FakeProcessorClass",
    "{model_class}": "FakeModelClass",
    "{object_class}": "FakeObjectClass",
}





