code: def configure_model(self) -> None:
      self.register_buffer(
          "complex_buffer_right",
          torch.complex(torch.rand(10), torch.rand(10)),
          persistent=False,
      )
  
imports: import pickle
  from unittest.mock import MagicMock
  import pytest
  import torch
  from lightning.pytorch import Trainer
  from lightning.pytorch.demos.boring_classes import BoringModel, RandomDataset
  from lightning.pytorch.plugins.precision.double import DoublePrecision
  from torch.utils.data import DataLoader, Dataset
  from tests_pytorch.helpers.runif import RunIf
label_desc: Use image node_id 2 for calling the DoublePrecisionBoringModelComplexBuffer obj's underlying member method code with example usage: obj.configure_model() without return types