import numpy as np


def ConfidenceBound(gp, nr_test, nr_weights, beta=1.2, seed=None, lower=-1.0, upper=1.0):
    rng = np.random.default_rng(seed=seed)
    X_test = rng.uniform(lower, upper, (nr_test, nr_weights))
    mu, sigma = gp.predict(X_test, return_std=True)
    cb = mu + beta * sigma

    idx = np.argmax(cb)
    X_next = X_test[idx, :]
    return X_next