





def 					lowercase__    (					lowercase_			)					->		int:




      """simple docstring"""

      _UpperCamelCase      :	Union[str, Any]						=       [1]

      _UpperCamelCase      :	List[str]						=       0, 0, 0
      _UpperCamelCase      :	str						=       ugly_nums[ia] * 2
      _UpperCamelCase      :	int						=       ugly_nums[ia] * 3
      _UpperCamelCase      :	Tuple						=       ugly_nums[ia] * 5

      for _ in range(1		,lowercase_			):
            _UpperCamelCase      :	Optional[int]						=       min(lowercase_		,lowercase_		,lowercase_			)
            ugly_nums.append(lowercase_			)
            if next_num == next_a:
                  ia += 1
                  _UpperCamelCase      :	List[str]						=       ugly_nums[ia] * 2
            if next_num == next_a:
                  ia += 1
                  _UpperCamelCase      :	Any						=       ugly_nums[ia] * 3
            if next_num == next_a:
                  ia += 1
                  _UpperCamelCase      :	str						=       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"""


from typing import TYPE_CHECKING

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


lowerCamelCase__				  =   {
    "configuration_mask2former": [
        "MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Mask2FormerConfig",
    ],
}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowerCamelCase__				  =   ["Mask2FormerImageProcessor"]

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowerCamelCase__				  =   [
      "MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
      "Mask2FormerForUniversalSegmentation",
      "Mask2FormerModel",
      "Mask2FormerPreTrainedModel",
  ]

if TYPE_CHECKING:
  from .configuration_maskaformer import MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskaFormerConfig

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .image_processing_maskaformer import MaskaFormerImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_maskaformer import (
        MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        MaskaFormerForUniversalSegmentation,
        MaskaFormerModel,
        MaskaFormerPreTrainedModel,
    )


else:
  import sys

  lowerCamelCase__				  =   _LazyModule(__name__, globals()["__file__"], _import_structure)
