code: def test_cannot_score():
      with pytest.raises(ValueError):
          Invt_model = InvertedEncoding1D()
          Invt_model.fit(X, y)
          score = Invt_model.score(X2.transpose(), y)
          logger.info("Scores: " + str(score))
  
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 42 for calling a global function with example usage: test_cannot_score() without return types