def is_same_transform(matrix0, matrix1):
matrix0 = numpy.array(matrix0, dtype=numpy.float64, copy=True)<EOL>matrix0 /= matrix0[<NUM_LIT:3>, <NUM_LIT:3>]<EOL>matrix1 = numpy.array(matrix1, dtype=numpy.float64, copy=True)<EOL>matrix1 /= matrix1[<NUM_LIT:3>, <NUM_LIT:3>]<EOL>return numpy.allclose(matrix0, matrix1)<EOL>
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