def taubin(script, iterations=<NUM_LIT:10>, t_lambda=<NUM_LIT:0.5>, t_mu=-<NUM_LIT>, selected=False):
filter_xml = '<STR_LIT>'.join([<EOL>'<STR_LIT>',<EOL>'<STR_LIT>',<EOL>'<STR_LIT>'.format(t_lambda),<EOL>'<STR_LIT>',<EOL>'<STR_LIT>',<EOL>'<STR_LIT>',<EOL>'<STR_LIT>',<EOL>'<STR_LIT>'.format(t_mu),<EOL>'<STR_LIT>',<EOL>'<STR_LIT>',<EOL>'<STR_LIT>',<EOL>'<STR_LIT>',<EOL>'<STR_LIT>'.format(iterations),<EOL>'<STR_LIT>',<EOL>'<STR_LIT>',<EOL>'<STR_LIT>',<EOL>'<STR_LIT>',<EOL>'<STR_LIT>'.format(str(selected).lower()),<EOL>'<STR_LIT>',<EOL>'<STR_LIT>',<EOL>'<STR_LIT>',<EOL>'<STR_LIT>'])<EOL>util.write_filter(script, filter_xml)<EOL>return None<EOL>
The lambda & mu Taubin smoothing, it make two steps of smoothing, forth
        and back, for each iteration.

    Based on:
    Gabriel Taubin
    "A signal processing approach to fair surface design"
    Siggraph 1995

    Args:
        script: the FilterScript object or script filename to write
            the filter to.
        iterations (int): The number of times that the taubin smoothing is
            iterated. Usually it requires a larger number of iteration than the
            classical laplacian.
        t_lambda (float): The lambda parameter of the Taubin Smoothing algorithm
        t_mu (float): The mu parameter of the Taubin Smoothing algorithm
        selected (bool): If selected the filter is performed only on the
            selected faces

    Layer stack:
        No impacts

    MeshLab versions:
        2016.12
        1.3.4BETA