human
Complete this python program:
def additive_epsilon(front, **kargs):
assistant
#Here is the Python code you requested.

    """Returns the index of the individual with the least the additive epsilon
    contribution. The provided *front* should be a set of non-dominated
    individuals having each a :attr:`fitness` attribute.
    .. warning::
    This function has not been tested.
    """
    wobj = (numpy.array([ind.fitness.wvalues for ind in front]) * (-1))
    def contribution(i):
        mwobj = numpy.ma.array(wobj)
        mwobj[i] = numpy.ma.masked
        return numpy.min(numpy.max((wobj[i] - mwobj), axis=1))
    contrib_values = map(contribution, range(len(front)))
    return numpy.argmin(contrib_values)