code: def generate_sl(streamlines):
      """
      Helper function that takes a sequence and returns a generator
  
      Parameters
      ----------
      streamlines : sequence
          Usually, this would be a list of 2D arrays, representing streamlines
  
      Returns
      -------
      generator
      """
      for sl in streamlines:
          yield sl
  
imports: import warnings
  import types
  import numpy
  from numpy.linalg import norm
  import numpy.testing
  from dipy.testing.memory import get_type_refcount
  from dipy.testing import assert_arrays_equal
  from dipy.testing.decorators import set_random_number_generator
  from dipy.testing import assert_true
  from numpy.testing import assert_array_equal, assert_array_almost_equal, assert_raises, assert_allclose, assert_almost_equal, assert_equal
  from dipy.tracking.streamlinespeed import compress_streamlines, length, set_number_of_points
  from dipy.tracking.streamline import Streamlines
  from dipy.tracking.streamline import relist_streamlines, unlist_streamlines, center_streamlines, transform_streamlines, select_random_set_of_streamlines, select_by_rois, orient_by_rois, orient_by_streamline, values_from_volume, deform_streamlines, cluster_confidence
label_desc: Use image node_id 18 for calling a global function with example usage: generate_sl(streamlines) without return types