run_quality.sh

#!/usr/bin/env bash
#----problem: $1

irr_dims=( 1 2 3 4 5 6 7 8 9 10 )
distances=( "ID" "CJS" )
thresholds=( 0.3 0.5 0.8 )
#17 problems
problems=(
        "2d_3_cubes_aligned_xor"
        "2d_2_cubes_aligned"
        "2d_2_cubes_xor"
        "3d_2_cubes_aligned"
        "3d_2_cubes_xor"
        "3d_3_cubes_aligned"
        "3d_3_cubes_aligned_xor"
        "3d_3_cubes_xor"
        "3d_4_cubes_1_aligned_xor"
        "3d_4_cubes_2_aligned"
        "3d_4_cubes_xor"
        "4d_2_cubes_aligned"
        "4d_3_cubes_aligned_xor"
        "4d_3_cubes_xor"
        "4d_4_cubes_aligned_xor"
        "4d_4_cubes_2_aligned"
        "4d_4_cubes_xor"
        )

#function problem_run {
#
#python main.py -b=logs_quality -f=synthetic_cases/cubes/$1.csv -m=predefined -dist=$2 -t=$3 -notime -s &
#
#for i in "${irr_dims[@]}"
#do
#    if [ "$2" == "CJS" ] && [ ${i} -gt 3 ]; then
#        break
#      fi
#    python main.py -b=logs_quality -f=synthetic_cases/cubes/$1_$i.csv -m=original -dist=$2 -t=$3 -notime &
#
#done
#
#}

for problem in "${problems[@]}"
do

    python main.py -b=logs_quality -f=synthetic_cases/cubes/${problem}.csv -m=trivial -notime &

    for dist in "${distances[@]}"
    do
        for threshold in "${thresholds[@]}"
        do
            python main.py -b=logs_quality -f=synthetic_cases/cubes/${problem}.csv -m=predefined -dist=${dist} -t=${threshold} -notime -s &

            for i in "${irr_dims[@]}"
            do
                if [ "$dist" == "CJS" ] && [ ${i} -gt 3 ]; then
                    break
                  fi
                python main.py -b=logs_quality -f=synthetic_cases/cubes/${problem}_${i}.csv -m=original -dist=${dist} -t=${threshold} -notime &

            done

#           problem_run ${problem} ${dist} ${threshold} &
        done
    done
done

wait

python discretization_quality_measure.py -b=logs_quality