def weights(self):
        n = self.n
        k = self.kappa

        W = np.full(2*n+1, .5 / (n + k))
        W[0] = k / (n+k)
        return W, W
Fetch a frame from the read queue and return it, otherwise return
dataset/ETHPy150Open rlabbe/filterpy/filterpy/kalman/sigma_points.py/JulierSigmaPoints.weights--crossover with--dataset/ETHPy150Open gmr/rabbitpy/rabbitpy/channel.py/Channel._get_from_read_queue