code: def test_batch_size_one(self, net_cls, module_cls, data):
      X, y = data
      net = net_cls(
          module_cls,
          max_epochs=1,
          batch_size=1,
      )
      net.fit(X, y)
  
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 10 for calling the TestNeuralNetBinaryClassifier obj's underlying member method code with example usage: obj.test_batch_size_one(net_cls, module_cls, data) without return types