code: def single_run_realign4d(
      im4d,
      affine_class=Rigid,
      time_interp=True,
      loops=5,
      speedup=5,
      refscan=0,
      borders=(1, 1, 1),
      optimizer="ncg",
      xtol=XTOL,
      ftol=FTOL,
      gtol=GTOL,
      stepsize=STEPSIZE,
      maxiter=MAXITER,
      maxfun=MAXFUN,
  ):
      """
      Realign a single run in space and time.
  
      Parameters
      ----------
      im4d : Image4d instance
  
      speedup : int or sequence
        If a sequence, implement a multi-scale realignment
      """
      if type(loops) not in (list, tuple, np.array):
          loops = [loops]
      repeats = len(loops)
  
      def format_arg(x):
          if type(x) not in (list, tuple, np.array):
              x = [x for i in range(repeats)]
          else:
              if not len(x) == repeats:
                  raise ValueError("inconsistent length in arguments")
          return x
  
      speedup = format_arg(speedup)
      optimizer = format_arg(optimizer)
      xtol = format_arg(xtol)
      ftol = format_arg(ftol)
      gtol = format_arg(gtol)
      stepsize = format_arg(stepsize)
      maxiter = format_arg(maxiter)
      maxfun = format_arg(maxfun)
  
      transforms = None
      opt_params = zip(
          loops,
          speedup,
          optimizer,
          xtol,
          ftol,
          gtol,
          stepsize,
          maxiter,
          maxfun,
      )
  
      for (
          loops_,
          speedup_,
          optimizer_,
          xtol_,
          ftol_,
          gtol_,
          stepsize_,
          maxiter_,
          maxfun_,
      ) in opt_params:
          subsampling = adjust_subsampling(
              speedup_, im4d.get_shape()[0:3]
          )
  
          r = Realign4dAlgorithm(
              im4d,
              transforms=transforms,
              affine_class=affine_class,
              time_interp=time_interp,
              subsampling=subsampling,
              refscan=refscan,
              borders=borders,
              optimizer=optimizer_,
              xtol=xtol_,
              ftol=ftol_,
              gtol=gtol_,
              stepsize=stepsize_,
              maxiter=maxiter_,
              maxfun=maxfun_,
          )
  
          for loop in range(loops_):
              r.estimate_motion()
  
          r.align_to_refscan()
          transforms = r.transforms
          im4d.free_data()
  
      return transforms
  
imports: import os
  import warnings
  import numpy
  from nibabel import io_orientation
  from nibabel.affines import apply_affine
  from ...core.image.image_spaces import as_xyz_image, make_xyz_image, xyz_affine
  from ...io.nibcompat import get_header
  from ..slicetiming import timefuncs
  from ._registration import _cspline_sample3d, _cspline_sample4d, _cspline_transform
  from .affine import Affine, Rigid
  from .optimizer import configure_optimizer, use_derivatives
  from .type_check import check_type, check_type_and_shape
label_desc: Use image node_id 8 for calling a global function with example usage: single_run_realign4d(im4d, affine_class, time_interp, loops, speedup, refscan, borders, optimizer, xtol, ftol, gtol, stepsize, maxiter, maxfun) and returns: transforms, x