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: basket1.m
    path of file: ./repos/informME/third_party/global_optim
    
    the code of the file until where you have to start completion: %
% Permission was provided by the author, Arnold Neumaier, to 
% modify and distribute this MATLAB code with the informME 
% package. Contact the original author directly for use outside 
% this package. 
%
% Author's website:
% http://www.mat.univie.ac.at/~neum/
%
% Author's source websites:
% http://www.mat.univie.ac.at/~neum/software/mcs/
% http://www.mat.univie.ac.at/~neum/software/minq/
% http://www.mat.univie.ac.at/~neum/software/ls/
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% basket1.m %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% checks whether a candidate for the 'shopping basket' lies in the 
% 'domain of attraction' of a point already in the 'shopping basket'
% function [xbest,fbest,xmin,fmi,loc,flag,ncall] = basket1(fcn,data,x,f
% xmin,fmi,xbest,fbest,stop,nbasket)
% Input:
% fcn = 'fun' 	name of function fun(data,x), x an n-vector
% data		data vector (or other data structure)
% x(1:n)	candidate for the shopping basket
% f		its function value
% xmin(1:n,:)  	columns are the base vertices of the boxes in the 
%              	'shopping basket'
% fmi          	fmi(j) is the function value at xmin(:,j)
% xbest       	current best vertex
% fbest    	current best function value
% stop          stop(1) in ]0,1[:  relative error with which the known 
%		 global minimum of a test function should be found
%		 stop(2) = fglob known global minimum of a test function
%		 stop(3) = safeguard parameter for absolutely small 
%		 fglo
    
function [xbest,fbest,xmin,fmi,loc,flag,ncall] = basket1(fcn,data,x,f
% xmin,fmi,xbest,fbest,stop,nbasket)
% Input:
% fcn = 'fun' 	name of function fun(data,x), x an n-vector
% data		data vector (or other data structure)
% x(1:n)	candidate for the shopping basket
% f		its function value
% xmin(1:n,:)  	columns are the base vertices of the boxes in the 
%              	'shopping basket'
% fmi          	fmi(j) is the function value at xmin(:,j)
% xbest       	current best vertex
% fbest    	current best function value
% stop          stop(1) in ]0,1[:  relative error with which the known 
%		 global minimum of a test function should be found
%		 stop(2) = fglob known global minimum of a test function
%		 stop(3) = safeguard parameter for absolutely small 
%		 fglob
%		stop(1) >= 1: the program stops if the best function
%		 value has not been improved for stop(1) sweeps
%		stop(1) = 0: the user can specify a function value that
%		 should be reached
%                stop(2) = function value that is to be achieved
% nbasket	current number of points in the shopping basket
% Output:
% xbest       	current best vertex
% fbest    	current best function value
% xmin(1:n,:)	updated version of the points in the shopping basket
% fmi		their function values
% loc           = 0  candidate lies in the 'domain of attraction' of a
%		     point in the 'shopping basket 
%		= 1  otherwise
% flag		= 0  the global minimum of a test function has been 
%		     found with the required accuracy prcerr
% 		= 1  otherwise
% ncall		number of function calls used in the program

function [xbest,fbest,xmin,fmi,loc,flag,ncall] = basket1(fcn,data,x,f,xmin,fmi,xbest,fbest,stop,nbasket)
global nsweep nsweepbest 
loc = 1;
flag = 1;
ncall = 0;
if ~nbasket, return, end