def 							__UpperCAmelCase     (							UpperCAmelCase							)->							Tuple:



			"""simple docstring"""







			lowercase       		=		[1]

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

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


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

						testmod(verbose=True)
						print(F"{ugly_numbers(200) = }")








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


_UpperCAmelCase						:  Tuple									=			{
    """configuration_m2m_100""": ["""M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP""", """M2M100Config""", """M2M100OnnxConfig"""],
    """tokenization_m2m_100""": ["""M2M100Tokenizer"""],
}


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					_UpperCAmelCase						:  Tuple									=			[
					    """M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """M2M100ForConditionalGeneration""",
					    """M2M100Model""",
					    """M2M100PreTrainedModel""",
					]


if TYPE_CHECKING:
					from .configuration_mam_aaa import M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP, MaMaaaConfig, MaMaaaOnnxConfig
					from .tokenization_mam_aaa import MaMaaaTokenizer

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_mam_aaa import (
										    M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST,
										    MaMaaaForConditionalGeneration,
										    MaMaaaModel,
										    MaMaaaPreTrainedModel,
										)


else:
					import sys

					_UpperCAmelCase						:  Any									=			_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




