code: def synchronized_order(img, target_img, axes=True, reference=True):
      """Reorder reference and axes of `img` to match target_img.
  
      Parameters
      ----------
      img : Image
      target_img : Image
      axes : bool, optional
          If True, synchronize the order of the axes.
      reference : bool, optional
          If True, synchronize the order of the reference coordinates.
  
      Returns
      -------
      newimg : Image
          An Image satisfying newimg.axes == target.axes (if axes == True),
          newimg.reference == target.reference (if reference == True).
  
      Examples
      --------
      >>> data = np.random.standard_normal((3,4,7,5))
      >>> im = Image(data, AffineTransform.from_params('ijkl', 'xyzt', np.diag([1,2,3,4,1])))
      >>> im_scrambled = im.reordered_axes('iljk').reordered_reference('txyz')
      >>> im == im_scrambled
      False
      >>> im_unscrambled = synchronized_order(im_scrambled, im)
      >>> im == im_unscrambled
      True
  
      The images don't have to be the same shape
  
      >>> data2 = np.random.standard_normal((3,11,9,4))
      >>> im2 = Image(data, AffineTransform.from_params('ijkl', 'xyzt', np.diag([1,2,3,4,1])))
      >>> im_scrambled2 = im2.reordered_axes('iljk').reordered_reference('xtyz')
      >>> im_unscrambled2 = synchronized_order(im_scrambled2, im)
      >>> im_unscrambled2.coordmap == im.coordmap
      True
  
      or have the same coordmap
  
      >>> data3 = np.random.standard_normal((3,11,9,4))
      >>> im3 = Image(data3, AffineTransform.from_params('ijkl', 'xyzt', np.diag([1,9,3,-2,1])))
      >>> im_scrambled3 = im3.reordered_axes('iljk').reordered_reference('xtyz')
      >>> im_unscrambled3 = synchronized_order(im_scrambled3, im)
      >>> im_unscrambled3.axes == im.axes
      True
      >>> im_unscrambled3.reference == im.reference
      True
      >>> im_unscrambled4 = synchronized_order(im_scrambled3, im, axes=False)
      >>> im_unscrambled4.axes == im.axes
      False
      >>> im_unscrambled4.axes == im_scrambled3.axes
      True
      >>> im_unscrambled4.reference == im.reference
      True
      """
      # Caution, we can't just use target_img.reference because other subclasses
      # of Image may not have all axes in the .reference attribute.
      target_axes = (
          target_img.axes
      )  # = target_img.coordmap.function_domain
      # the below not necessarily == target_image.reference
      target_reference = target_img.coordmap.function_range
      if axes:
          img = img.reordered_axes(target_axes.coord_names)
      if reference:
          img = img.reordered_reference(target_reference.coord_names)
      return img
  
imports: import warnings
  from copy import copy
  from itertools import chain
  import numpy
  from nibabel.onetime import auto_attr
  from ..reference.array_coords import ArrayCoordMap
  from ..reference.coordinate_map import AffineTransform, CoordinateSystem, input_axis_index
label_desc: Use image node_id 6 for calling a global function with example usage: synchronized_order(img, target_img, axes, reference) and returns: img