code: def test_glm_logL():
      mulm, n, p, q = ols_glm()
      logL = mulm.get_logL()
      assert_array_almost_equal(logL / n, -p * 1.41 * np.ones(n) / n, 0)
  
imports: import numpy
  import pytest
  from nibabel import Nifti1Image, load, save
  from numpy.testing import assert_almost_equal, assert_array_almost_equal, assert_array_equal
  from nipy.io.nibcompat import get_affine
  from nipy.testing import funcfile
  from nipy.testing.decorators import if_example_data
  from ..glm import FMRILinearModel, GeneralLinearModel, data_scaling
label_desc: Use image node_id 12 for calling a global function with example usage: test_glm_logL() without return types