code: def test_non_binary_classes_set_by_default(
      self, net_cls, module_cls, data
  ):
      X = data[0]
      y = np.arange(len(X)) % 10
      net = net_cls(module_cls, max_epochs=0).fit(X, y)
      assert (net.classes_ == [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]).all()
  
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 14 for calling the TestNeuralNet obj's underlying member method code with example usage: obj.test_non_binary_classes_set_by_default(net_cls, module_cls, data) without return types