code: def test_evolution_of_previous_iterations():
      static = fornix_streamlines()[:20]
      moving = fornix_streamlines()[:20]
  
      moving = [m + np.array([10.0, 0.0, 0.0]) for m in moving]
  
      slr = StreamlineLinearRegistration(evolution=True)
  
      slm = slr.optimize(static, moving)
  
      assert_equal(len(slm.matrix_history), slm.iterations)
  
imports: import numpy
  from numpy.testing import assert_, assert_equal, assert_almost_equal, assert_array_almost_equal, assert_raises
  from dipy.align.streamlinear import compose_matrix44, decompose_matrix44, BundleSumDistanceMatrixMetric, BundleMinDistanceMatrixMetric, BundleMinDistanceMetric, StreamlineLinearRegistration, StreamlineDistanceMetric, groupwise_slr, get_unique_pairs
  from dipy.tracking.streamline import center_streamlines, unlist_streamlines, relist_streamlines, transform_streamlines, set_number_of_points, Streamlines
  from dipy.io.streamline import load_tractogram
  from dipy.core.geometry import compose_matrix
  from dipy.data import get_fnames, two_cingulum_bundles, read_five_af_bundles
  from dipy.align.bundlemin import _bundle_minimum_distance_matrix, _bundle_minimum_distance, distance_matrix_mdf
  from dipy.testing.decorators import set_random_number_generator
label_desc: Use image node_id 15 for calling a global function with example usage: test_evolution_of_previous_iterations() without return types