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#!/usr/bin/env bash
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set -u
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#set -x
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# File locations
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dir=$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )
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datadir="$dir/data"
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results="$datadir/battle.data"
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settings="$datadir/settings.last.battle"
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training="$datadir/training.scale.data"
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testing="$datadir/testing.scale.data"
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# Battle parameters
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rounds=6
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width=500
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height=500
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robot1="sample.Corners"
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robot2="sample.Fire"
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# Prepare the data directory
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mkdir -p "$datadir/";
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# Iterate over arguments
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while :; do
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# If there are any
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if [ $# -gt 0 ] ; then
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case $1 in
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# Regenerate data files
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-c|--clean)
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rm -rf "$datadir"
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;;
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# Call a "show_help" function to display a synopsis, then exit.
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-h|-\?|--help)
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echo "Generate the data required for SVM classification."
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echo "USAGE: robocode-svm [OPTION] [COORDINATES]"
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echo " -v, --visualize Shows visual run of the battle"
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echo " -x The x coordinate of the second robot, used with -v"
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echo " -y The y coordinate of the second robot, used with -v"
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echo " -a, --accuracy Only show the accuracy of the SVM prediction"
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echo " -c, --clean Regenerate the battle data (may take a very long time)"
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echo " -h, --help Show this help"
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exit
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;;
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# Just accuracy
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#-a|--accuracy)
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#show_accuracy
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#exit
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#;;
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# Unrecognized parameter
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-?*)
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printf 'WARNING: Unknown option (ignored): %s\n' "$1" >&2
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;;
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# Default case: If no more options then break out of the loop.
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*)
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break
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esac
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# "command" reduces the chance of fatal errors in many shells.
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command shift
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else
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break
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fi
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done
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# Generate the battle data (run 1000 battles) for a SVM classification
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# If the data file has required amount if data
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lines=$(wc -l < "$results")
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if [[ "$lines" -eq "$rounds" ]] ; then
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echo "Data are already generated."
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else
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# Repeat the battle desired number of times (till the battle data file does not contain $rounds entries
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echo "Generating the data for SVM predition. Depending on the machine, this may take very long time."
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delta=$((rounds - lines))
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for ((i = 1; i <= "$delta"; i++)) ; do
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# Generate input parameters
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number=$RANDOM; let "number %= $width"; x=$number
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number=$RANDOM; let "number %= $height"; y=$number
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number=$RANDOM; let "number %= 360"; alpha=$number
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# Write current settings to a file; first robot starts in the middle, with fixed gun angle;
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# the other one start at random known position, with random known gun angle
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{
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echo "#Battle Properties"
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echo "robocode.battleField.width=$width"
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echo "robocode.battleField.height=$height"
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echo "robocode.battle.numRounds=1"
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echo "robocode.battle.gunCoolingRate=0.07"
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echo "robocode.battle.rules.inactivityTime=450"
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echo "robocode.battle.selectedRobots=$robot1,$robot2"
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echo "robocode.battle.initialPositions=($((width/2)),$((height/2)),0),($x,$y,$alpha)"
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} > "$settings"
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# Run battle without GUI, following the settings file, and returning the lines containing winners
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winner=$(robocode -nodisplay -battle "$settings" | tail -2| awk 'NR==1F {print $2}')
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if [ "$winner" == "$robot1" ] ; then
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winner=1
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else
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winner=2
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fi
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# Append the result of the battle to the battle data file
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echo "$winner 1:$x 2:$y 3:$alpha" >> "$results"
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# Print a dot to infrom user tht something is happening
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printf "."
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done
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printf "\nData generation successful.\n"
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fi
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# Calculate and print the acuuracy of classification, given the test sample
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# Calculate the lines needed to split the data to 90% and 10%
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tr=$(bc <<< "scale=0; $rounds * 0.9 / 1");
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te=$(bc <<< "scale=0; ($rounds - $tr) / 1");
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# Scale the results to interval <0, 1> and split them to training set and testing set;
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# misuse tee for 'process substituion' and send its stdout do /dev/null
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svm-scale -l 0 -u 1 "$results" | tee >(head -n "$tr" > "$training") >(tail -n "$te" > "$testing") > /dev/null
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