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n_parallel_jobs=6 # number of jobs that will be run in parallel
n_total_jobs=100
for li in $(seq 0 $n_parallel_jobs $n_total_jobs);
do
# the for loop below will start n_parallel_jobs for each trait
# unless n_total_jobs will be reached first (this is checked in the if statementc)
mi=`expr "$li" + "$n_parallel_jobs"`
if [ "$mi" -gt "$n_total_jobs" ]
then
mi=$n_total_jobs
fi
for t in $(seq 0 6);
do
python2.7 -m classifiers.train_classifier -t $t -s 0 -a 0 -l $li -m $mi
wait
done
done