code: def test_ill_conditioned_2d_train_data():
      with pytest.raises(ValueError):
          Xt = np.ones((nobs, nvox))
          y = np.random.rand(nobs, 2)
          iem_2d.fit(Xt, y)
  
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 19 for calling a global function with example usage: test_ill_conditioned_2d_train_data() without return types