code: def test_sph_harm_ind_list():
      m_list, n_list = sph_harm_ind_list(8)
      assert_equal(m_list.shape, n_list.shape)
      assert_equal(m_list.shape, (45,))
      assert_true(np.all(np.abs(m_list) <= n_list))
      assert_array_equal(n_list % 2, 0)
      assert_raises(ValueError, sph_harm_ind_list, 1)
  
      # Test for a full basis
      m_list, n_list = sph_harm_ind_list(8, True)
      assert_equal(m_list.shape, n_list.shape)
      # There are (sh_order + 1) * (sh_order + 1) coefficients
      assert_equal(m_list.shape, (81,))
      assert_true(np.all(np.abs(m_list) <= n_list))
  
imports: import warnings
  import numpy
  import numpy.linalg
  import numpy.testing
  from dipy.testing import assert_true
  from numpy.testing import assert_array_equal, assert_array_almost_equal, assert_equal, assert_raises
  from scipy.special import sph_harm
  from dipy.core.sphere import hemi_icosahedron, Sphere
  from dipy.core.gradients import gradient_table
  from dipy.core.interpolation import NearestNeighborInterpolator
  from dipy.sims.voxel import single_tensor
  from dipy.direction.peaks import peak_directions
  from dipy.reconst.shm import sf_to_sh, sh_to_sf
  from dipy.sims.voxel import multi_tensor_odf
  from dipy.data import mrtrix_spherical_functions
  from dipy.reconst import odf
  from dipy.reconst.shm import real_sh_descoteaux_from_index, real_sym_sh_basis, real_sym_sh_mrtrix, real_sh_descoteaux, real_sh_tournier, sph_harm_ind_list, order_from_ncoef, OpdtModel, normalize_data, hat, lcr_matrix, smooth_pinv, bootstrap_data_array, bootstrap_data_voxel, ResidualBootstrapWrapper, CsaOdfModel, QballModel, SphHarmFit, spherical_harmonics, anisotropic_power, calculate_max_order, sh_to_sf_matrix, gen_dirac, convert_sh_to_full_basis, convert_sh_from_legacy, convert_sh_to_legacy, convert_sh_descoteaux_tournier, descoteaux07_legacy_msg, tournier07_legacy_msg
label_desc: Use image node_id 2 for calling a global function with example usage: test_sph_harm_ind_list() without return types