




def  SCREAMING_SNAKE_CASE							(       __UpperCamelCase)      ->					int:
					a     =				[1]

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

					for _ in range(1		, __UpperCamelCase):
										a     =				min(__UpperCamelCase		, __UpperCamelCase		, __UpperCamelCase)
										ugly_nums.append(__UpperCamelCase)
										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) = }')







lowercase__				:      str	   = "\n# Installazione di Transformers\n! pip install transformers datasets\n# Per installare dalla fonte invece dell'ultima versione rilasciata, commenta il comando sopra e\n# rimuovi la modalità commento al comando seguente.\n# ! pip install git+https://github.com/huggingface/transformers.git\n"

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

