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: grplasScan.m
    path of file: ./repos/d2d/arFramework3/L1
    
    the code of the file until where you have to start completion: % grplasScan([jks], [linv], [gradient], [lks], [OptimizerSteps])
% 
% The core function for performing a group-Lasso scan.
% 
% jks             indices of the fold-factor parameters to be investigated by L1
%                 regularization 
% linv            width, i.e. inverse slope of L1 penalty 
%                 (Inf = no penalty; small values = large penalty) 
%                 if provided, it overwrites ar.linv
%                 [ar.linv] is default
% gradient        use a small gradient on L1 penalty 
%                 Possible values: -1, 0, 1 
%                 [0] is default
% lks             [lks = 1:length(ar.linv)]
%                 lambda indices to be analyzed, a subset of ar.linv can be
%                 chosen. Depending on the regularization type, it also
%                 represents the indices of ar.gamma or ar.alpharange or
%                 ar.nu
% OptimizerSteps  Number of optimization iteration overwriting
%                 ar.config.op
    
function for performing a group-Lasso scan.
% 
% jks             indices of the fold-factor parameters to be investigated by L1
%                 regularization 
% linv            width, i.e. inverse slope of L1 penalty 
%                 (Inf = no penalty; small values = large penalty) 
%                 if provided, it overwrites ar.linv
%                 [ar.linv] is default
% gradient        use a small gradient on L1 penalty 
%                 Possible values: -1, 0, 1 
%                 [0] is default
% lks             [lks = 1:length(ar.linv)]
%                 lambda indices to be analyzed, a subset of ar.linv can be
%                 chosen. Depending on the regularization type, it also
%                 represents the indices of ar.gamma or ar.alpharange or
%                 ar.nu
% OptimizerSteps  Number of optimization iteration overwriting
%                 ar.config.optim.Maxiter
%                 The length of this vector controls the number of
%                 optimization restarts which are done.
%                 [1000 20] is default
% 
% See also arRegularize, l1Scan


function grplasScan(jks, linv, gradient, lks, OptimizerSteps)

global ar

%Check for trdog
checksum_l1   = {'6BBE213BEC28A0C59A8DEDCF65CF7649'}; % Modified trdog.m
trpath = which('trdog','-all');
if sum(strcmpi(md5(trpath{1}),checksum_l1))==1
    % All good
else
    warning('Found an outdated trdog, updating...! \n');
    l1trdog
end