package io.vivarium.scripts; import java.util.LinkedList; import java.util.List; import org.apache.commons.cli.CommandLine; import org.apache.commons.cli.Option; import io.vivarium.core.processor.NeuralNetwork; import io.vivarium.core.processor.Processor; import io.vivarium.serialization.FileIO; import io.vivarium.serialization.Format; import io.vivarium.serialization.VivariumObjectCollection; public class NormalizeProcessorGenomes extends CommonsScript { private static final String INPUT_FILE = "input"; private static final String OUTPUT_FILE = "output"; public NormalizeProcessorGenomes(String[] args) { super(args); } // WebWorld worldCopy = Streamer.get().deepCopy(world); @Override protected List<Option> getScriptSpecificOptions() { LinkedList<Option> options = new LinkedList<>(); options.add(Option .builder("i") .required(true) .longOpt(INPUT_FILE) .hasArg(true) .argName("FILE") .desc("file to load.") .build()); options.add(Option .builder("o") .required(true) .longOpt(OUTPUT_FILE) .hasArg(true) .argName("FILE") .desc("file to save.") .build()); return options; } @Override protected void run(CommandLine commandLine) { // Load the file String inputFile = commandLine.getOptionValue(INPUT_FILE); VivariumObjectCollection collection = FileIO.loadObjectCollection(inputFile, Format.JSON); List<Processor> processors = collection.getAll(Processor.class); for (Processor processor : processors) { NeuralNetwork nn = (NeuralNetwork) processor; nn.normalizeWeights(1); } String outputFile = commandLine.getOptionValue(OUTPUT_FILE); FileIO.saveSerializerCollection(collection, outputFile, Format.JSON); } @Override protected String getUsageHeader() { return "Normalize all processors in the loaded file"; } @Override protected String getExtraArgString() { return ""; } public static void main(String[] args) { new NormalizeProcessorGenomes(args); } }