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: test_bug1607.m
    path of file: ./repos/fieldtrip/test
    
    the code of the file until where you have to start completion: function test_bug1607

% MEM 1gb
% WALLTIME 00:10:00
% DEPENDENCY ft_channelrepair ft_topoplotER
% DATA private

% During preprocessing I lost some channels which I got back through
% ft_channelrepair after which the channel order changed per subject.
% I realigned the channel order and the associated data structure of each subject
% to one reference order after which the topoplots look completely different.
% They look even worse than before realignment. Anybody got a clue where the
% confusion arises?
% Attached a script and two data files, one with reference data and one with the
% to be aligned data.

% solution
% was not a bug, instead jonas was indexing the wrong way around:
%
%     nERPdata_nD_left{isubject}.avg(:,:) = ERPdata_nD_left{isubject}.avg(loc,:);     % realign data to ref channel order
% instead of
%     nERPdata_nD_left{isubject}.avg(loc,:) = ERPdata_nD_left{isubject}.avg(:,:);     % realign data to ref channel order

ERPdata_nD_left = [];

    
function test_bug1607

% MEM 1gb
% WALLTIME 00:10:00
% DEPENDENCY ft_channelrepair ft_topoplotER
% DATA private

% During preprocessing I lost some channels which I got back through
% ft_channelrepair after which the channel order changed per subject.
% I realigned the channel order and the associated data structure of each subject
% to one reference order after which the topoplots look completely different.
% They look even worse than before realignment. Anybody got a clue where the
% confusion arises?
% Attached a script and two data files, one with reference data and one with the
% to be aligned data.

% solution
% was not a bug, instead jonas was indexing the wrong way around:
%
%     nERPdata_nD_left{isubject}.avg(:,:) = ERPdata_nD_left{isubject}.avg(loc,:);     % realign data to ref channel order
% instead of
%     nERPdata_nD_left{isubject}.avg(loc,:) = ERPdata_nD_left{isubject}.avg(:,:);     % realign data to ref channel order

ERPdata_nD_left = [];
reference_labels = [];

%load(dccnpath('/home/common/matlab/fieldtrip/data/test/bug1607/06_control_ICA_clean.mat'));
load(dccnpath('/home/common/matlab/fieldtrip/data/test/bug1607/ERPdata.mat'));
load(dccnpath('/home/common/matlab/fieldtrip/data/test/bug1607/reference.mat'));

% reference_labels = ICA_clean.label;

nERPdata_nD_left = ERPdata_nD_left;
% nERPdata_D_left = ERPdata_D_left;
% nERPdata_nD_right = ERPdata_nD_right;
% nERPdata_D_right = ERPdata_D_right;

for isubject = 1:1%length(ERPdata_nD_left)
%     disp(num2str(isubject))
    [a loc] = ismember(ERPdata_nD_left{isubject}.label, reference_labels);  % compare the channel labeling of each subject with a reference
%     for isens = 1 : 64
%         if loc(isens) ~= isens
%             disp(['changing subj ' num2str(isubject) ' sensnr ' num2str(isens)]);
%             break;
%         end