code: def is_same_transform(matrix0, matrix1):
      """Return True if two matrices perform same transformation.
  
      >>> is_same_transform(numpy.identity(4), numpy.identity(4))
      True
      >>> is_same_transform(numpy.identity(4), random_rotation_matrix())
      False
  
      """
      matrix0 = numpy.array(matrix0, dtype=numpy.float64, copy=True)
      matrix0 /= matrix0[3, 3]
      matrix1 = numpy.array(matrix1, dtype=numpy.float64, copy=True)
      matrix1 /= matrix1[3, 3]
      return numpy.allclose(matrix0, matrix1)
  
imports: import math
  import numpy
label_desc: Use image node_id 45 for calling a global function with example usage: is_same_transform(matrix0, matrix1) and returns: numpy