code: def test_raise_incompatible_len_on_max_lr_err(self, init_optimizer):
      with pytest.raises(ValueError) as excinfo:
          WarmRestartLR(init_optimizer, max_lr=[1e-1, 1e-2])
      assert "max_lr" in str(excinfo.value)
  
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 6 for calling the TestWarmRestartLR obj's underlying member method code with example usage: obj.test_raise_incompatible_len_on_max_lr_err(init_optimizer) without return types