code: def test_classification_normal_invalid_dims(self):
      classification_normal = ClassificationNormalBiasDirection()
      with pytest.raises(ConfigurationError):
          classification_normal(torch.zeros(2), torch.zeros(2))
  
      with pytest.raises(ConfigurationError):
          classification_normal(torch.zeros(2, 2), torch.zeros(2, 3))
  
imports: import torch
  from torch import allclose
  import pytest
  import math
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.testing import AllenNlpTestCase, multi_device
  from allennlp.fairness.bias_direction import PCABiasDirection, PairedPCABiasDirection, TwoMeansBiasDirection, ClassificationNormalBiasDirection
label_desc: Use image node_id 1 for calling the ClassificationNormalBiasDirectionTest obj's underlying member method code with example usage: obj.test_classification_normal_invalid_dims() without return types