




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCamelCase								=					{'configuration_ibert': ['IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'IBertConfig', 'IBertOnnxConfig']}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCamelCase								=					[
         'IBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
         'IBertForMaskedLM',
         'IBertForMultipleChoice',
         'IBertForQuestionAnswering',
         'IBertForSequenceClassification',
         'IBertForTokenClassification',
         'IBertModel',
         'IBertPreTrainedModel',
     ]

if TYPE_CHECKING:
     from .configuration_ibert import IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, IBertConfig, IBertOnnxConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_ibert import (
              IBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
              IBertForMaskedLM,
              IBertForMultipleChoice,
              IBertForQuestionAnswering,
              IBertForSequenceClassification,
              IBertForTokenClassification,
              IBertModel,
              IBertPreTrainedModel,
          )

else:
     import sys

     UpperCamelCase								=					_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






def 							_A       (						lowerCAmelCase_					: int = 1000      ):
     """simple docstring"""

     return sum(2 * a * ((a - 1) // 2) for a in range(3       ,    n + 1      )      )


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