code: def test_ill_conditioned_train_data():
      Invt_model = InvertedEncoding1D()
      with pytest.raises(ValueError):
          X = np.array([[0, 0, 0], [1, 1, 1]])
          Invt_model.fit(X, np.array([0, 0, 0]))
  
imports: import pytest
  import numpy
  import logging
  from brainiak.reconstruct.iem import InvertedEncoding1D, InvertedEncoding2D
  from brainiak.utils.fmrisim import generate_1d_gaussian_rfs, generate_1d_rf_responses
  from scipy.stats import circmean
label_desc: Use image node_id 36 for calling a global function with example usage: test_ill_conditioned_train_data() without return types