You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: priorMix.m
    path of file: ./repos/bads/gpml-matlab-v3.6-2015-07-07/prior
    
    the code of the file until where you have to start completion: function [lp,dlp] = priorMix(w,priors,x)

% Mixture of Univariate or Multivariate hyperparameter prior distributions.
% Compute log-likelihood and its derivative or draw a random sample.
% The prior distribution is parameterized as:
%
%   p(x) = sum_i w_i p_i(x),
%
% w(bx1) is the mixture weight vector (nonnegative, normalised to add up to 1),
% priors(bx1) is a cell array containing the priors to be mixed and x(1xN)
% contains query hyperparameters for prior evaluation.
%
% For more help on design of priors, try "help priorDistributions".
%
% Copyright (c) by Roman Garnett and Hannes Nickisch, 2014-09-08.

    
function [lp,dlp] = priorMix(w,priors,x)

% Mixture of Univariate or Multivariate hyperparameter prior distributions.
% Compute log-likelihood and its derivative or draw a random sample.
% The prior distribution is parameterized as:
%
%   p(x) = sum_i w_i p_i(x),
%
% w(bx1) is the mixture weight vector (nonnegative, normalised to add up to 1),
% priors(bx1) is a cell array containing the priors to be mixed and x(1xN)
% contains query hyperparameters for prior evaluation.
%
% For more help on design of priors, try "help priorDistributions".
%
% Copyright (c) by Roman Garnett and Hannes Nickisch, 2014-09-08.
%
% See also PRIORDISTRIBUTIONS.M.

if nargin<2, error('specification of w and priors required'), end