code: def test_csd_convergence():
      """Check existence of `convergence` keyword in CSD model"""
      _, fbvals, fbvecs = get_fnames("small_64D")
      bvals, bvecs = read_bvals_bvecs(fbvals, fbvecs)
      gtab = gradient_table(bvals, bvecs)
  
      evals = np.array([[1.5, 0.3, 0.3]]) * [[1.0], [1.0]] / 1000.0
      S, sticks = multi_tensor(
          gtab, evals, snr=None, fractions=[55.0, 45.0]
      )
  
      with warnings.catch_warnings():
          warnings.filterwarnings(
              "ignore",
              message=descoteaux07_legacy_msg,
              category=PendingDeprecationWarning,
          )
          model_w_conv = ConstrainedSphericalDeconvModel(
              gtab,
              (evals[0], 3.0),
              sh_order=8,
              convergence=50,
          )
      with warnings.catch_warnings():
          warnings.filterwarnings(
              "ignore",
              message=descoteaux07_legacy_msg,
              category=PendingDeprecationWarning,
          )
          model_wo_conv = ConstrainedSphericalDeconvModel(
              gtab, (evals[0], 3.0), sh_order=8
          )
  
      assert_equal(
          model_w_conv.fit(S).shm_coeff, model_wo_conv.fit(S).shm_coeff
      )
  
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 19 for calling a global function with example usage: test_csd_convergence() without return types