code: def test_multiple_fast_inverse_errors():
      shape = (2, 2, 2)
      X = np.zeros(shape)
  
      with pytest.raises(
          ValueError, match="Matrix LU decomposition failed"
      ):
          multiple_fast_inverse(X)
  
      shape = (10, 20, 20)
      X = np.zeros(shape)
  
      with pytest.raises(
          ValueError, match="Matrix LU decomposition failed"
      ):
          multiple_fast_inverse(X)
  
imports: import numpy
  import pytest
  import scipy.linalg
  import scipy.stats
  from numpy.testing import assert_almost_equal, assert_array_almost_equal, assert_array_equal
  from scipy.stats import norm
  from nilearn._utils.data_gen import generate_fake_fmri
  from nilearn.glm._utils import full_rank, multiple_fast_inverse, multiple_mahalanobis, pad_contrast, positive_reciprocal, z_score
  from nilearn.glm.first_level import FirstLevelModel, make_first_level_design_matrix
  from nilearn.maskers import NiftiMasker
label_desc: Use image node_id 9 for calling a global function with example usage: test_multiple_fast_inverse_errors() without return types