code: def test_pass_classes_explicitly_overrides(
      self, net_cls, module_cls, data
  ):
      net = net_cls(
          module_cls, max_epochs=0, classes=["foo", "bar"]
      ).fit(*data)
      assert net.classes_ == ["foo", "bar"]
  
imports: from unittest.mock import Mock
  import numpy
  import pytest
  import torch
  from scipy.special import expit
  from sklearn.base import clone
  from torch import nn
  from skorch.tests.conftest import INFERENCE_METHODS
label_desc: Use image node_id 17 for calling the TestNeuralNet obj's underlying member method code with example usage: obj.test_pass_classes_explicitly_overrides(net_cls, module_cls, data) without return types