






from typing import TYPE_CHECKING

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


A_						:						Tuple						      =					{
    'configuration_graphormer': ['GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GraphormerConfig'],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   A_						:						Any						      =					[
       'GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
       'GraphormerForGraphClassification',
       'GraphormerModel',
       'GraphormerPreTrainedModel',
   ]


if TYPE_CHECKING:
   from .configuration_graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_graphormer import (
          GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
          GraphormerForGraphClassification,
          GraphormerModel,
          GraphormerPreTrainedModel,
      )


else:
   import sys

   A_						:						List[str]						      =					_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






def  __magic_name__  (				lowercase = 100				)				-> int:

							"""simple docstring"""



							lowercase_	:   Dict  				=     (n * (n + 1) // 2) ** 2
							lowercase_	:   List[str]  				=     n * (n + 1) * (2 * n + 1) // 6
							return sum_cubes - sum_squares


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