'return ``pheno(self.mean - (geno(x) - self.mean))``.
TODO: this implementation is yet experimental.
Selectively mirrored sampling improves to a moderate extend but
overadditively with active CMA for quite understandable reasons.
Optimal number of mirrors are suprisingly small: 1,2,3 for maxlam=7,13,20
however note that 3,6,10 are the respective maximal possible mirrors that
must be clearly suboptimal.'

def get_mirror(self, x):

    try:
        dx = (self.sent_solutions[x]['geno'] - self.mean)
    except:
        print('WARNING:    use    of    geno    is    depreciated')
        dx = (self.gp.geno(x, copy=True) - self.mean)
    dx *= ((sum((self.randn(self.N) ** 2)) ** 0.5) / self.mahalanobisNorm(dx))
    x = (self.mean - dx)
    y = self.gp.pheno(x, bounds=self.gp.bounds)
    if ((not self.gp.isidentity) or use_sent_solutions):
        self.sent_solutions[y] = {'geno': x, 'pheno': y, 'iteration': self.countiter}
    return y
