





"""simple docstring"""





from typing import TYPE_CHECKING

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


lowercase__				:int				   =       {
    'configuration_gpt_bigcode': ['GPT_BIGCODE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GPTBigCodeConfig'],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase__				:Tuple				   =       [
      'GPT_BIGCODE_PRETRAINED_MODEL_ARCHIVE_LIST',
      'GPTBigCodeForSequenceClassification',
      'GPTBigCodeForTokenClassification',
      'GPTBigCodeForCausalLM',
      'GPTBigCodeModel',
      'GPTBigCodePreTrainedModel',
  ]

if TYPE_CHECKING:
  from .configuration_gpt_bigcode import GPT_BIGCODE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTBigCodeConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_gpt_bigcode import (
        GPT_BIGCODE_PRETRAINED_MODEL_ARCHIVE_LIST,
        GPTBigCodeForCausalLM,
        GPTBigCodeForSequenceClassification,
        GPTBigCodeForTokenClassification,
        GPTBigCodeModel,
        GPTBigCodePreTrainedModel,
    )


else:
  import sys

  lowercase__				:Union[str, Any]				   =       _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






"""simple docstring"""





def       lowerCamelCase_       (   UpperCAmelCase_ = 10_00  )						->int:





  """simple docstring"""


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


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