code: def compose_matrix44(t, dtype=np.double):
      """Compose a 4x4 transformation matrix.
  
      Parameters
      ----------
      t : ndarray
          This is a 1D vector of affine transformation parameters with
          size at least 3.
          If the size is 3, t is interpreted as translation.
          If the size is 6, t is interpreted as translation + rotation.
          If the size is 7, t is interpreted as translation + rotation +
          isotropic scaling.
          If the size is 9, t is interpreted as translation + rotation +
          anisotropic scaling.
          If size is 12, t is interpreted as translation + rotation +
          scaling + shearing.
  
      Returns
      -------
      T : ndarray
          Homogeneous transformation matrix of size 4x4.
  
      """
      if isinstance(t, list):
          t = np.array(t)
      size = t.size
  
      if size not in [3, 6, 7, 9, 12]:
          raise ValueError(
              "Accepted number of parameters is 3, 6, 7, 9 and 12"
          )
  
      MAX_DIST = 1e10
      scale, shear, angles, translate = (None,) * 4
      translate = _threshold(t[0:3], MAX_DIST)
      if size in [6, 7, 9, 12]:
          angles = np.deg2rad(t[3:6])
      if size == 7:
          scale = np.array((t[6],) * 3)
      if size in [9, 12]:
          scale = t[6:9]
      if size == 12:
          shear = t[9:12]
      return compose_matrix(
          scale=scale, shear=shear, angles=angles, translate=translate
      )
  
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 11 for calling a global function with example usage: compose_matrix44(t, dtype) and returns: compose_matrix