code: def noise_level(self, value):
      if value < 0:
          raise ValueError(
              "Noise level should be larger than or equal to 0."
          )
      self._noise_level = value
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import pytest
  import numpy
  import torch
  import torch.nn
  import torch.optim
  from torch.utils.data import Dataset, DataLoader
  import bluefog.torch
  from bluefog.common import topology_util
label_desc: Use image node_id 8 for calling the LinearProblemBuilder obj's underlying member method code with example usage: obj.noise_level(value) without return types