def calculate_mean(samples, weights):
    r'''Calculate the mean of weighted samples (like the output of an
    importance-sampling run).

    :param samples:

        Matrix-like numpy array; the samples to be used.

    :param weights:

        Vector-like numpy array; the (unnormalized) importance weights.

    '''
    assert len(samples) == len(weights), "The number of samples (got %i) must equal the number of weights (got %i)." % (len(samples),len(weights))
    return _np.average(samples, axis=0, weights=weights)
r'''Calculate the mean of weighted samples (like the output of an
    importance-sampling run).

    :param samples:

        Matrix-like numpy array; the samples to be used.

    :param weights:

        Vector-like numpy array; the (unnormalized) importance weights.