code: def test_modify_2d_properties():
      nchan = 8
      res = 10
      npix = res * res
      channels = np.random.rand(nchan, npix) * 2 - 1
      bds = [-1, 1]
      s = InvertedEncoding2D(
          stim_xlim=bds,
          stim_ylim=bds,
          stimulus_resolution=res,
          chan_xlim=bds,
          chan_ylim=bds,
          channels=channels,
      )
      with pytest.raises(ValueError):
          s = s.set_params(n_channels=nchan - 1)
          assert s, "Invalid InvertedEncoding2D instance"
      with pytest.raises(ValueError):
          s = s.set_params(xp=np.random.rand(npix - 10))
          assert s, "Invalid InvertedEncoding2D instance"
      with pytest.raises(ValueError):
          s = s.set_params(stim_fov=[[0, 1], [0, -1]])
          assert s, "Invalid InvertedEncoding2D instance"
      with pytest.raises(ValueError):
          s = s.set_params(stim_fov=[[0, 1]])
          assert s, "Invalid InvertedEncoding2D instance"
      with pytest.raises(ValueError):
          s = s.set_params(stim_fov=[[0], [0, 1]])
          assert s, "Invalid InvertedEncoding2D instance"
  
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 8 for calling a global function with example usage: test_modify_2d_properties() without return types