code: def test_can_score():
      Invt_model = InvertedEncoding1D()
      Invt_model.fit(X, y)
      score = Invt_model.score(X2, 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 41 for calling a global function with example usage: test_can_score() without return types