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: spm_vb_Fn.m
    path of file: ./repos/ExploreASL/External/SPMmodified
    
    the code of the file until where you have to start completion: function [F,L,KL] = spm_vb_Fn(Y,block)
% Compute voxel-wise contributions to model evidence
% FORMAT [F,L,KL] = spm_vb_Fn(Y,block)
%
% Y          - [T x N] time series 
% block      - data structure (see spm_vb_glmar)
%
% F          - [N x 1] vector where nth entry is unique contribution to 
%              model evidence from voxel n
% L          - [N x 1] Average Likelihood
% KL.w       - [N x 1] KL w - unique contribution
% KL.a       - [N x 1] KL a - unique contribution
% KL.lam     - [N x 1] KL Lambda
% KL.alpha   - Scalar
% KL.beta    - Scalar
%__________________________________________________________________________
% Copyright (C) 2005-2014 Wellcome Trust Centre for Neuroimaging

% Will Penny 
% $Id: spm_vb_Fn.m 6079 2014-06-30 18:25:37Z spm $

T  = block.T;
p  = block.p;
k  = block.k;
N  = block.N;
X  = block.X;

C2 = block.C2;  

Bk = kron(diag(block.mean_alpha),block.Dw);
B  = block.Hw*Bk*block.Hw';

if p>0

    
function [F,L,KL] = spm_vb_Fn(Y,block)
% Compute voxel-wise contributions to model evidence
% FORMAT [F,L,KL] = spm_vb_Fn(Y,block)
%
% Y          - [T x N] time series 
% block      - data structure (see spm_vb_glmar)
%
% F          - [N x 1] vector where nth entry is unique contribution to 
%              model evidence from voxel n
% L          - [N x 1] Average Likelihood
% KL.w       - [N x 1] KL w - unique contribution
% KL.a       - [N x 1] KL a - unique contribution
% KL.lam     - [N x 1] KL Lambda
% KL.alpha   - Scalar
% KL.beta    - Scalar
%__________________________________________________________________________
% Copyright (C) 2005-2014 Wellcome Trust Centre for Neuroimaging

% Will Penny 
% $Id: spm_vb_Fn.m 6079 2014-06-30 18:25:37Z spm $

T  = block.T;
p  = block.p;
k  = block.k;
N  = block.N;
X  = block.X;

C2 = block.C2;  

Bk = kron(diag(block.mean_alpha),block.Dw);
B  = block.Hw*Bk*block.Hw';

if p>0
    if ~strcmp(block.priors.A,'Discrete')
        Jk = kron(diag(block.mean_beta),block.Da);
        J  = block.Ha*Jk*block.Ha';
    end