code: def _single_period_targets(self, epochs, min_lr, max_lr, period):
      targets = 1 + np.cos(np.arange(epochs) * np.pi / period)
      targets = min_lr + 0.5 * (max_lr - min_lr) * targets
      return targets.tolist()
  
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 2 for calling the TestWarmRestartLR obj's underlying member method code with example usage: obj._single_period_targets(epochs, min_lr, max_lr, period) and returns: targets