shellchecked and refactored

robocode-svm

@@ -18,8 +18,6 @@ height=500
 robot1="sample.Corners"
 robot2="sample.Fire"
 
-# Prepare the data directory
-mkdir -p "$datadir/";
 
 # Iterate over arguments
 while :; do
@@ -32,21 +30,18 @@ while :; do
 			;;
 			# Call a "show_help" function to display a synopsis, then exit.
 			-h|-\?|--help)   
-			echo "Generate the data required for SVM classification."
+			echo "Generate the data required for SVM classification and show the accuracy"
+			echo "of the generated SVM model. If coordinates are supported, one visual battle"
+			echo "is shown to support the prediction."
+			echo ""
 			echo "USAGE: robocode-svm [OPTION] [COORDINATES]"
 			echo "  -v, --visualize	Shows visual run of the battle"
 			echo "  -x			The x coordinate of the second robot, used with -v"
 			echo "  -y			The y coordinate of the second robot, used with -v"
-			echo "  -a, --accuracy	Only show the accuracy of the SVM prediction"
 			echo "  -c, --clean		Regenerate the battle data (may take a very long time)"
 			echo "  -h, --help		Show this help"
 			exit
 			;;
-			# Just accuracy
-			#-a|--accuracy)
-			#show_accuracy
-			#exit
-			#;;
 			# Unrecognized parameter
 			-?*)
 			printf 'WARNING: Unknown option (ignored): %s\n' "$1" >&2
@@ -54,21 +49,29 @@ while :; do
 			# Default case: If no more options then break out of the loop.
 			*)               
 			break
-	esac
-
-	# "command" reduces the chance of fatal errors in many shells.
-	command shift        
-else
-	break
-fi
+		esac
+		# "command" reduces the chance of fatal errors in many shells.
+		command shift        
+	else
+		break
+	fi
 done
 
+# Prepare the data directory
+mkdir -p "$datadir/"
+touch "$results"
 
-# Generate the battle data (run 1000 battles) for a SVM classification
 # If the data file has required amount if data
 lines=$(wc -l < "$results")
 if [[ "$lines" -eq "$rounds" ]] ; then
-	echo "Data are already generated."
+	# Calculate the lines needed to split the data to 90% and 10%
+	tr=$(bc <<< "scale=0; $rounds * 0.9 / 1");
+	te=$(bc <<< "scale=0; ($rounds - $tr) / 1");
+
+	# Scale the results to interval <0, 1> and split them to training set and testing set;
+	# misuse tee for 'process substituion' and send its stdout do /dev/null
+	svm-scale -l 0 -u 1 "$results" | tee  >(head -n "$tr" > "$training") >(tail -n "$te" > "$testing") > /dev/null
+# Generate the battle data (run 1000 battles) for a SVM classification
 else
 	# Repeat the battle desired number of times (till the battle data file does not contain $rounds entries
 	echo "Generating the data for SVM predition. Depending on the machine, this may take very long time."
@@ -105,17 +108,7 @@ else
 		# Print a dot to infrom user tht something is happening
 		printf "."
 	done
-	printf "\nData generation successful.\n"
+	printf "\nData generation successful. Run the command again the show the accuracy.\n"
 fi
 
 
-# Calculate and print the acuuracy of classification, given the test sample
-# Calculate the lines needed to split the data to 90% and 10%
-tr=$(bc <<< "scale=0; $rounds * 0.9 / 1");
-te=$(bc <<< "scale=0; ($rounds - $tr) / 1");
-
-# Scale the results to interval <0, 1> and split them to training set and testing set;
-# misuse tee for 'process substituion' and send its stdout do /dev/null
-svm-scale -l 0 -u 1 "$results" | tee  >(head -n "$tr" > "$training") >(tail -n "$te" > "$testing") > /dev/null
-
-