code: def test_multi_period_with_restart(self, init_optimizer):
      optimizer = init_optimizer
      epochs = 9
      min_lr = 5e-5
      max_lr = 5e-2
      base_period = 2
      period_mult = 2
      targets = self._multi_period_targets(
          epochs, min_lr, max_lr, base_period, period_mult
      )
      self.assert_lr_correct(
          optimizer,
          targets,
          epochs,
          min_lr,
          max_lr,
          base_period,
          period_mult,
      )
  
imports: from unittest.mock import Mock
  import numpy
  import pytest
  from sklearn.base import clone
  from torch.optim import SGD
  from torch.optim.lr_scheduler import CosineAnnealingLR
  from torch.optim.lr_scheduler import ExponentialLR
  from torch.optim.lr_scheduler import LambdaLR
  from torch.optim.lr_scheduler import MultiStepLR
  from torch.optim.lr_scheduler import ReduceLROnPlateau
  from torch.optim.lr_scheduler import StepLR
  from torch.optim.lr_scheduler import CyclicLR
  from skorch import NeuralNetClassifier
  from skorch.callbacks.lr_scheduler import WarmRestartLR, LRScheduler
label_desc: Use image node_id 8 for calling the TestWarmRestartLR obj's underlying member method code with example usage: obj.test_multi_period_with_restart(init_optimizer) without return types