






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


A_						:						Dict						      =					{
    'configuration_mega': ['MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MegaConfig', 'MegaOnnxConfig'],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   A_						:						str						      =					[
       'MEGA_PRETRAINED_MODEL_ARCHIVE_LIST',
       'MegaForCausalLM',
       'MegaForMaskedLM',
       'MegaForMultipleChoice',
       'MegaForQuestionAnswering',
       'MegaForSequenceClassification',
       'MegaForTokenClassification',
       'MegaModel',
       'MegaPreTrainedModel',
   ]

if TYPE_CHECKING:
   from .configuration_mega import MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP, MegaConfig, MegaOnnxConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_mega import (
          MEGA_PRETRAINED_MODEL_ARCHIVE_LIST,
          MegaForCausalLM,
          MegaForMaskedLM,
          MegaForMultipleChoice,
          MegaForQuestionAnswering,
          MegaForSequenceClassification,
          MegaForTokenClassification,
          MegaModel,
          MegaPreTrainedModel,
      )

else:
   import sys

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





def lowerCamelCase__  (     ):

     '''simple docstring'''


     UpperCAmelCase_     :				Dict  =     0
     for i in range(1					,		1001 ):
          total += i**i
     return str(_lowercase )[-10:]


if __name__ == "__main__":
     print(solution())