






def     lowerCamelCase__				(   __lowerCamelCase      :					Dict = 1000		):
  __UpperCAmelCase							:     List[Any]									=  []
  __UpperCAmelCase							:     List[Any]									=  []
  __UpperCAmelCase							:     List[str]									=  3
  __UpperCAmelCase							:     Optional[Any]									=  5
  __UpperCAmelCase							:     int									=  1
  while True:
    __UpperCAmelCase							:     str									=  z * temp
    if result < n:
      zmulti.append(_A		)
      temp += 1
    else:
      __UpperCAmelCase							:     List[Any]									=  1
      break
  while True:
    __UpperCAmelCase							:     Union[str, Any]									=  x * temp
    if result < n:
      xmulti.append(_A		)
      temp += 1
    else:
      break
  __UpperCAmelCase							:     Optional[Any]									=  list(set(xmulti + zmulti		)		)
  return sum(_A		)


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










from typing import TYPE_CHECKING

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


a		:	Any      					=			{
    "configuration_deta": ["DETA_PRETRAINED_CONFIG_ARCHIVE_MAP", "DetaConfig"],
}

try:
       if not is_vision_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a		:	Optional[int]      					=			["DetaImageProcessor"]

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a		:	Tuple      					=			[
           "DETA_PRETRAINED_MODEL_ARCHIVE_LIST",
           "DetaForObjectDetection",
           "DetaModel",
           "DetaPreTrainedModel",
       ]


if TYPE_CHECKING:
       from .configuration_deta import DETA_PRETRAINED_CONFIG_ARCHIVE_MAP, DetaConfig

       try:
              if not is_vision_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .image_processing_deta import DetaImageProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_deta import (
                  DETA_PRETRAINED_MODEL_ARCHIVE_LIST,
                  DetaForObjectDetection,
                  DetaModel,
                  DetaPreTrainedModel,
              )

else:
       import sys

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


