docstr: Transform moving streamlines to the static.
  
  Parameters
  ----------
  moving : streamlines
  
  Returns
  -------
  moved : streamlines
  
  Notes
  -----
  All this does is apply ``self.matrix`` to the input streamlines.
docstr_tok: ["Transform","moving","streamlines","to","the","static",".","Parameters","--","--","--","--","--","moving",":","streamlines","Returns","--","--","--","-","moved",":","streamlines","Notes","--","--","-","All","this","does","is","apply","``","self.matrix","``","to","the","input","streamlines","."]
code: def transform(self, moving):
      """Transform moving streamlines to the static.
  
      Parameters
      ----------
      moving : streamlines
  
      Returns
      -------
      moved : streamlines
  
      Notes
      -----
      All this does is apply ``self.matrix`` to the input streamlines.
  
      """
      return transform_streamlines(moving, self.matrix)
  
imports: import logging
  import abc
  from itertools import combinations
  import numpy
  from dipy.core.optimize import Optimizer
  from dipy.align.bundlemin import _bundle_minimum_distance, _bundle_minimum_distance_asymmetric, distance_matrix_mdf
  from dipy.tracking.streamline import transform_streamlines, unlist_streamlines, center_streamlines, set_number_of_points, select_random_set_of_streamlines, length, Streamlines
  from dipy.segment.clustering import qbx_and_merge
  from dipy.core.geometry import compose_transformations, compose_matrix, decompose_matrix
  from time import time
label_desc: Use image node_id 2 for calling the StreamlineRegistrationMap obj's underlying member method code with example usage: obj.transform(moving) and returns: transform_streamlines