code: def test_not_running(self):
      metric = EpochLambda(
          "test", self._metric_function, running=False, step_size=6
      )
      metric.reset(
          {
              torchbearer.DEVICE: "cpu",
              torchbearer.DATA_TYPE: torch.float32,
          }
      )
      metric.train()
  
      for i in range(12):
          metric.process(self._states[0])
  
      self._metric_function.assert_not_called()
  
imports: import unittest
  import torch
  from mock import Mock, call
  from torch.autograd import Variable
  import torchbearer
  from torchbearer.metrics import Metric, BatchLambda, EpochLambda, ToDict
label_desc: Use image node_id 4 for calling the TestEpochLambda obj's underlying member method code with example usage: obj.test_not_running() without return types