code: def get_test_data():
      _, fbvals, fbvecs = get_fnames("small_64D")
      bvals, bvecs = read_bvals_bvecs(fbvals, fbvecs)
      gtab = gradient_table(bvals, bvecs)
      evals_list = [
          np.array([1.7e-3, 0.4e-3, 0.4e-3]),
          np.array([4.0e-4, 4.0e-4, 4.0e-4]),
          np.array([3.0e-3, 3.0e-3, 3.0e-3]),
      ]
      s0 = [0.8, 1, 4]
      signals = [
          single_tensor(gtab, x[0], x[1]) for x in zip(s0, evals_list)
      ]
      tissues = [0, 0, 2, 0, 1, 0, 0, 1, 2]
      data = [signals[tissue] for tissue in tissues]
      data = np.asarray(data).reshape((3, 3, 1, len(signals[0])))
      evals = [evals_list[tissue] for tissue in tissues]
      evals = np.asarray(evals).reshape((3, 3, 1, 3))
      tissues = np.asarray(tissues).reshape((3, 3, 1))
      mask = np.where(tissues == 0, 1, 0)
      response = (evals_list[0], s0[0])
      fa = fractional_anisotropy(evals)
      return gtab, data, mask, response, fa
  
imports: import warnings
  import numpy
  import numpy.testing
  from numpy.testing import assert_, assert_equal, assert_almost_equal, assert_array_almost_equal, assert_array_equal
  from dipy.testing import assert_greater, assert_greater_equal
  from dipy.data import get_sphere, get_fnames, default_sphere, small_sphere
  from dipy.sims.voxel import multi_tensor, single_tensor, multi_tensor_odf, all_tensor_evecs, single_tensor_odf
  from dipy.core.gradients import gradient_table
  from dipy.core.sphere import Sphere, HemiSphere
  from dipy.core.sphere_stats import angular_similarity
  from dipy.reconst.csdeconv import ConstrainedSphericalDeconvModel, ConstrainedSDTModel, forward_sdeconv_mat, odf_deconv, odf_sh_to_sharp, mask_for_response_ssst, response_from_mask_ssst, response_from_mask, auto_response_ssst, auto_response, recursive_response
  from dipy.direction.peaks import peak_directions
  from dipy.reconst.dti import TensorModel, fractional_anisotropy
  from dipy.reconst.shm import descoteaux07_legacy_msg, QballModel, sf_to_sh, sh_to_sf, real_sh_descoteaux, sph_harm_ind_list
  from dipy.reconst.shm import lazy_index
  from dipy.utils.deprecator import ExpiredDeprecationError
  from dipy.io.gradients import read_bvals_bvecs
  from dipy.testing.decorators import set_random_number_generator
label_desc: Use image node_id 1 for calling a global function with example usage: get_test_data() and returns: gtab,  data,  mask,  response,  fa