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: get_batch.m
    path of file: ./repos/cnnimageretrieval/cnntrain
    
    the code of the file until where you have to start completion: function [inputs, nidxs, time_remine] = get_batch(opts, db, net, batch, subbatch, mode, epoch)
% GET_BATCH gets a batch (or a subBatch) of images for one iteration of training.
% This function also performs negative re-mining when required.
%
%   [INPUTS, NIDXS, TIME_REMINE] = get_batch(opts, DB, NET, BATCH, SUBBATCH, MODE, EPOCH)
%
%   Check supported opts in function LOAD_OPTS_TRAIN.M
%
% Authors: F. Radenovic, G. Tolias, O. Chum. 2017. 

time_remine = 0;

nbatch = floor(numel(db.(mode).qidxs)/opts.batchSize);
remine_after = ceil(nbatch/opts.numRemine);

    
function [inputs, nidxs, time_remine] = get_batch(opts, db, net, batch, subbatch, mode, epoch)
% GET_BATCH gets a batch (or a subBatch) of images for one iteration of training.
% This function also performs negative re-mining when required.
%
%   [INPUTS, NIDXS, TIME_REMINE] = get_batch(opts, DB, NET, BATCH, SUBBATCH, MODE, EPOCH)
%
%   Check supported opts in function LOAD_OPTS_TRAIN.M
%
% Authors: F. Radenovic, G. Tolias, O. Chum. 2017. 

time_remine = 0;

nbatch = floor(numel(db.(mode).qidxs)/opts.batchSize);
remine_after = ceil(nbatch/opts.numRemine);

% check if it is time to perform re-mining
if (strcmp(mode, 'train') && rem(batch-1, remine_after)==0 && subbatch==1) || (strcmp(mode, 'val') && batch == 1 && subbatch==1)
	fprintf('>> Remining negatives\n'); start_remine = tic;
	% clear intermediate values and der of training
	net = resetKeepStats(net);
	% range of batches for which we want to remine negatives
	if strcmp(mode, 'train')
		batch_start = batch;
		batch_end