code: def setUp(self):
      self.model = DummyModel()
      self.criterion = nn.CrossEntropyLoss()
      self.wrapper = ModelWrapper(self.model, self.criterion)
      self.optim = torch.optim.SGD(self.wrapper.get_params(), 0.01)
      self.dataset = DummyDataset()
      self.calibrator = DirichletCalibrator(
          self.wrapper, 2, lr=0.001, reg_factor=0.001
      )
  
imports: import unittest
  from unittest.mock import Mock
  import numpy
  import pytest
  import torch
  from torch import nn
  from torch.utils.data import Dataset
  from baal.calibration import DirichletCalibrator
  from baal.modelwrapper import ModelWrapper
label_desc: Use image node_id 1 for calling the CalibrationTest obj's underlying member method code with example usage: obj.setUp() without return types