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Application using JACK-GAMS integration
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package io.github.agentsoz.conservation;
/*
* #%L
* BDI-ABM Integration Package
* %%
* Copyright (C) 2014 - 2015 by its authors. See AUTHORS file.
* %%
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as
* published by the Free Software Foundation, either version 3 of the
* License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Lesser Public License for more details.
*
* You should have received a copy of the GNU General Lesser Public
* License along with this program. If not, see
* .
* #L%
*/
import static io.github.agentsoz.conservation.ConservationUtils.*;
import io.github.agentsoz.bdiabm.data.ActionContainer;
import io.github.agentsoz.bdiabm.data.ActionContent;
import io.github.agentsoz.bdiabm.data.AgentDataContainer;
import io.github.agentsoz.bdiabm.data.AgentState;
import io.github.agentsoz.bdiabm.data.AgentStateList;
import io.github.agentsoz.bdiabm.data.PerceptContainer;
import io.github.agentsoz.conservation.jill.agents.Landholder;
import io.github.agentsoz.conservation.outputwriters.AgentsProgressWriter;
import io.github.agentsoz.conservation.outputwriters.AgentsStatisticsWriter;
import io.github.agentsoz.conservation.outputwriters.AuctionStatisticsWriter;
import io.github.agentsoz.conservation.outputwriters.AuctionSummaryWriter;
import io.github.agentsoz.conservation.outputwriters.BidsWriter;
import io.github.agentsoz.conservation.outputwriters.ConstantFileNames;
import io.github.agentsoz.conservation.outputwriters.LowCHighPStatistics;
import java.io.FileWriter;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import ch.qos.logback.classic.Level;
/**
* Main class of the conservation application
*
* @author Sewwandi Perera
*/
public class Main {
// Defaults
/**
* How many time the same serias of auction cycles should be ran. Here, one
* test can have many repeats. One repeat can have many auction cycles.
*/
private static int repeats = 1;
/**
* How many auction cycles should be ran for one repeat.
*/
private static int cycles = 1;
/**
* Number of agents (land holders) in the population. This parameter can be
* set using the command-line argument "-a"
*/
private static int numLandholders = 400;
/**
* GAMS model
*/
private static String gamsModel = null;
/**
* The GAMS installation directory. It is compulsory to pass this parameter
* using command-line arguments when running the application.
*
* command-line argument : "-gams_dir"
*/
private static String gamsDir = null;
/**
* Number of packages used in the application
*/
private static int numPackages = 26;
/**
* Log level
*/
private static Level logLevel = Level.INFO;
/**
* This value is set based on the number of land holders and the
* targetPercentage
*/
private static String target = "";
// State variables
/**
* Path to the input file to GAMS model. This file contain the information
* about all bids made by land holders.
*/
private static String csvInputFile = null;
/**
* Path to the output file from GAMS. GAMS output file contains the
* information about all bids made by agents during the auction cycle and
* which of them were successful.
*/
private static String csvOutputFile = null;
/**
* Contains percept and action data about all agents
*/
private static AgentDataContainer adc;
/**
* Agents state list
*/
private static AgentStateList asl;
/**
* Instance of {@link AuctioneerModel}
*/
private static AuctioneerModel auctioneerModel;
/**
* Instance of {@link LandholderModel}
*/
private static LandholderModel landholderModel;
/**
* The list of pakcages used in the application.
*/
public static Package[] packages;
/**
* Current cycle number
*/
public static int cycle;
/**
* Current repeat number
*/
public static int repeat;
/**
* All {@link Landholder}s in the application
*/
public static List landholders;
/**
* The main method
*
* @param args
*/
public static void main(String[] args) {
// parse command line arguments
parse(args);
ConservationUtils.init(numPackages);
// Initialise variables
auctioneerModel = new AuctioneerModel(gamsDir, gamsModel);
landholderModel = new LandholderModel();
asl = new AgentStateList();
adc = new AgentDataContainer();
long t0, t1;
t0 = System.currentTimeMillis();
if (repeats < 0)
repeats = 1;
while (repeat < repeats) {
repeat++;
// init all output writers for the repeat
initOutputWriters(repeat);
// initialise the agents
initialiseSimulation(args);
// save a reference to all agents
landholders = new ArrayList();
for (int i = 1; i <= numLandholders; i++) {
landholders.add((Landholder) landholderModel
.getAgentByName(Integer.toString(i)));
}
// set target
setTarget();
// send initial attributes of agents to the AgentsStatisticsWriter
publishAgentsStats(0);
AuctionStatisticsWriter.getInstance().open(repeat, landholders);
for (cycle = 1; cycle <= cycles; cycle++) {
Log.info("Started the auction cycle " + cycle
+ " in the repeat " + repeat);
// Set cycle number in output writers
BidsWriter.getInstance().setCycleNumber(cycle);
LowCHighPStatistics.getInstance().setCycleNumber(cycle);
// Create new log files for this repeat and this cycle
createGamsFiles(repeat, cycle);
// set CSV file
Log.setCSV(csvInputFile);
// Conduct the auction
auctioneerModel.conductAuction();
// Send outputs
publishAuctionSummary(repeat, cycle);
publishAgentsStats(cycle);
publishAuctionStats(cycle);
Log.info("Completed the auction cycle " + cycle
+ " in the repeat " + repeat);
}
// Close the output file
Log.close();
}
t1 = System.currentTimeMillis();
try {
// Flush all output files
AgentsStatisticsWriter.getInstance().flush();
AgentsProgressWriter.getInstance().flush();
// Close of file writers
AuctionSummaryWriter.getInstance().close();
BidsWriter.getInstance().close();
LowCHighPStatistics.getInstance().close();
} catch (Exception e) {
e.printStackTrace();
}
// report how long the test took
Log.info("Finished running " + repeats + " repeats of " + cycles
+ " auctions (" + (t1 - t0) + " ms)");
System.exit(0);
}
/**
* Initialises output writers
*
* @param repeat
*/
private static void initOutputWriters(int repeat) {
// Create a new log file for this repeat
Log.setLog(ConstantFileNames.getOutputLogFileName(repeat), logLevel);
Log.open();
// Output writers
AgentsStatisticsWriter.getInstance().open(repeat, numLandholders);
AgentsProgressWriter.getInstance().open(repeat, cycles);
BidsWriter.getInstance().init(repeat);
LowCHighPStatistics.getInstance().open(repeat);
}
/**
* Publishes statistics about the auction cycle to the
* {@link AuctionStatisticsWriter}
*
* @param cycle
*/
private static void publishAuctionStats(int cycle) {
AuctionStatisticsWriter.getInstance().addAuctionStatistics(cycle,
auctioneerModel.getLatestAuctionResultSet().getResultSet(),
landholders, target, packages, cycle == 0);
}
/**
* Publishes a summary of the auction cycle to the
* {@link AuctionSummaryWriter}
*
* @param repeat
* @param cycle
*/
private static void publishAuctionSummary(int repeat, int cycle) {
// write auction result summary to log file
try {
AuctionSummaryWriter.getInstance().writeSummary(repeat, cycle,
auctioneerModel.getLatestAuctionResultSet().getResultSet());
} catch (IOException e) {
Log.error(e.getMessage());
}
}
/**
* Publishes statistics about agents to the {@link AgentsStatisticsWriter}
*
* @param cycle
*/
private static void publishAgentsStats(int cycle) {
for (Landholder landholder : landholders) {
// publish statistics
AgentsStatisticsWriter.getInstance().addAllInfo(cycle,
landholder.getName(),
landholder.getConservationEthicBarometer(),
landholder.getProfitMotiveBarometer(),
landholder.getCurrentAuctionRound());
}
}
/**
* Generates file paths for GAMS input and output files
*
* @param repeat
* @param cycle
*/
private static void createGamsFiles(int repeat, int cycle) {
csvInputFile = "conservation.in." + String.format("%03d", repeat)
+ "r." + String.format("%03d", cycle) + "c.csv";
csvOutputFile = "conservation.out." + String.format("%03d", repeat)
+ "r." + String.format("%03d", cycle) + "c.csv";
}
/**
* Sets the target of the auction based on the number of land holders and
* the targetPercentage
*/
public static void setTarget() {
int maxMalleefowls = 0;
int maxPhascogales = 0;
int maxPythons = 0;
for (Package p : packages) {
String[] species = p.description.split(",");
int malleefowls = Integer.parseInt(species[0]);
int phascogales = Integer.parseInt(species[1]);
int pythons = Integer.parseInt(species[2]);
if (maxMalleefowls < malleefowls) {
maxMalleefowls = malleefowls;
}
if (maxPhascogales < phascogales) {
maxPhascogales = phascogales;
}
if (maxPythons < pythons) {
maxPythons = pythons;
}
}
Log.debug("Target percentage : " + getTargetPercentage());
maxMalleefowls = (int) (maxMalleefowls * numLandholders
* getTargetPercentage() / 100);
maxPhascogales = (int) (maxPhascogales * numLandholders
* getTargetPercentage() / 100);
maxPythons = (int) (maxPythons * numLandholders * getTargetPercentage() / 100);
// Print target file
FileWriter targetFileWriter;
try {
targetFileWriter = new FileWriter(
ConstantFileNames.getTargetFileName());
// append header
targetFileWriter.append("dummy,mallNum,phasNum,pythNum\n1,");
// append data
targetFileWriter.append(Integer.toString(maxMalleefowls));
targetFileWriter.append(",");
targetFileWriter.append(Integer.toString(maxPhascogales));
targetFileWriter.append(",");
targetFileWriter.append(Integer.toString(maxPythons));
targetFileWriter.append("\n");
targetFileWriter.flush();
targetFileWriter.close();
} catch (IOException e) {
Log.error(e.getMessage());
}
target = maxMalleefowls + " " + maxPhascogales + " " + maxPythons;
Log.info("Target [mallefowls:" + maxMalleefowls + ", phascogales:"
+ maxPhascogales + ", pythons:" + maxPythons + "]");
}
/**
* Initialises the simulation for a new repeat
*
* @param args
*/
public static void initialiseSimulation(String[] args) {
// generate the bid packages
packages = Package.getPackages(numPackages);
// initalise the agent data container
adc = new AgentDataContainer();
// initalise the agent state container
asl = new AgentStateList();
// create the agents, and their data/state containers
String[] agentIds = new String[numLandholders];
for (int i = 0; i < numLandholders; i++) {
agentIds[i] = String.format("%d", i);
asl.add(new AgentState(agentIds[i]));
adc.getOrCreate(agentIds[i]);
}
// connect the two systems and initialise
auctioneerModel.connect(landholderModel, adc, asl);
landholderModel.init(adc, asl, auctioneerModel, args);
// start the bdi system
landholderModel.start();
}
/**
* Called by MatsimModel to signal news actions from BDI side Handles two
* types of changes, new actions (INITIATED) and dropped actions
*/
public static void updateActions(AgentDataContainer agentDataContainer) {
/*
* Remove the former percepts as they are no longer needed
*/
for (String agentName : agentDataContainer.keySet()) {
PerceptContainer newPerceptContainer = new PerceptContainer();
agentDataContainer.getOrCreate(agentName).setPerceptContainer(
newPerceptContainer);
}
for (String agent : agentDataContainer.keySet()) {
ActionContainer actionContainer = agentDataContainer.getOrCreate(
agent).getActionContainer();
for (String action : actionContainer.actionIDSet()) {
if (actionContainer.get(action).getState() == ActionContent.State.INITIATED) {
// TODO: placeholder for handling this state if required
}
if (actionContainer.get(action).getState() == ActionContent.State.DROPPED) {
// TODO: placeholder for handling this state if required
}
}
}
}
/**
* Note for future additions: keep alphabetical order, and wrap long lines
*/
public static String usage() {
return "usage: "
+ Main.class.getName()
+ " [options]\n"
+ " -a number of landholder agents (default is "
+ numLandholders
+ ")\n"
+ " -bidAddon the gap between defaultBids and increased bid number\n"
+ " (default is "
+ getBidAddon()
+ ")\n"
+ " -c number of unique auctions to perform (default is "
+ cycles
+ ")\n"
+ " -conservationEthicModifier The factor used to increase and decrease conservation ethic barometer \n"
+ " of agents (default is "
+ getConservationEthicModifier()
+ ")\n"
+ " -conservationEthicSeed seed value used when generating conservation ethic barometer of agents\n"
+ " (default is "
+ getConservationEthicSeed()
+ ")\n"
+ " -defaultMaxNumberOfBids number of bids by default a normal agent make \n"
+ " (default is "
+ getDefaultMaxNumberOfBids()
+ ")\n"
+ " -gams_dir path to directory where GAMS is installed\n"
+ " -gams_model path to GAMS model to execute\n"
+ " -globalRandomSeed seed of the global random variable used throughout the application\n"
+ " (default is "
+ getGlobalRandomSeed()
+ ")\n"
+ " -h print this help message and exit\n"
+ " -highCEAgentsPercentage percentage of agents having high conservation ethic \n"
+ " (default is "
+ getHighCEAgentsPercentage()
+ ")\n"
+ " -high_participation_prob high participation probability (default is "
+ getHighParticipationProbability()
+ ")\n"
+ " -highProfitRangeMinMargin minimum margin of high profit percentage range (default is "
+ getHighProfitRangeMinMargin()
+ "\n"
+ " -low_participation_prob low participation probability (default is "
+ getLowParticipationProbability()
+ ")\n"
+ " -log_level one of ERROR,WARN,INFO,DEBUG,TRACE (default is "
+ logLevel
+ ")\n"
+ " -lower_threshold_c lower threshold for conservation ethic barometer to be low\n"
+ " (default is "
+ getLowerThresholdC()
+ ")\n"
+ " -lower_threshold_p lower threshold for profit motive barometer to be low (default is \n"
+ " "
+ getLowerThresholdP()
+ ")\n"
+ " -max_c maximum value for conservation ethic barometer (default is "
+ getMaxConservationEthic()
+ ")\n"
+ " -max_p maximum value for profit motivation barometer (default is "
+ getMaxProfitMotivation()
+ ")\n"
+ " -medProfitRangeMinMargin minimum margin of medium profit range (default is "
+ getMedProfitRangeMinMargin()
+ "\n"
+ " -p number of conservation packages to use (default is "
+ numPackages
+ "')\n"
+ " -profitDifferenctial the gap between low, medium and high profit percentage levels\n"
+ " (default is "
+ getProfitDifferenctial()
+ ")\n"
+ " -profitMotivationModifier The factor used to increase and decrease profit motive barometer \n"
+ " of agents (default is "
+ getProfitMotivationModifier()
+ ")\n"
+ " -profitMotivationSeed seed value used when generating profit motive barometer of agents\n"
+ " (default is "
+ getProfitMotivationSeed()
+ ")\n"
+ " -profitVariability the variability in low, medium and high profit ranges\n"
+ " (default is "
+ getProfitVariability()
+ ")\n"
+ " -r number of times to run the trading strategy (default is "
+ repeats
+ ")\n"
+ " -socialNormUpdatePercentage the percentage increased in agents' CE as a result of social norm\n"
+ " (default is "
+ getSocialNormUpdatePercentage()
+ ")\n"
+ " -targetPercentage The percentage of maximum possible target (if all agents bid on the highest package)\n"
+ " that should be assigned as the target (default is "
+ getTargetPercentage()
+ ")\n"
+ " -upper_threshold_c upper threshold for conservation ethic barometer to be high (default is "
+ getUpperThresholdC()
+ ")\n"
+ " -upper_threshold_p upper threshold for profit motive barometer to be high (default is "
+ getUpperThresholdP() + ")\n";
}
/**
* Parse command-line argumets.
*
* @param args
*/
public static void parse(String[] args) {
for (int i = 0; i < args.length; i++) {
switch (args[i]) {
case "-a":
if (i + 1 < args.length) {
if (i + 1 < args.length) {
i++;
try {
numLandholders = Integer.parseInt(args[i]);
} catch (Exception e) {
exit("Option value '" + args[i]
+ "' is not a number");
}
}
break;
}
case "-c":
if (i + 1 < args.length) {
if (i + 1 < args.length) {
i++;
try {
cycles = Integer.parseInt(args[i]);
} catch (Exception e) {
exit("Option value '" + args[i]
+ "' is not a number");
}
}
break;
}
case "-gams_dir":
if (i + 1 < args.length) {
i++;
gamsDir = args[i];
}
break;
case "-gams_model":
if (i + 1 < args.length) {
i++;
gamsModel = args[i];
}
break;
case "-log_level":
if (i + 1 < args.length) {
i++;
logLevel = Level.toLevel(args[i]); // ill-formed strings
// default to DEBUG
}
break;
case "-p":
if (i + 1 < args.length) {
i++;
try {
numPackages = Integer.parseInt(args[i]);
} catch (Exception e) {
exit("Could not parse numPackages value '" + args[i]
+ "'. Will use the default of '" + repeats
+ "'");
}
}
break;
case "-r":
if (i + 1 < args.length) {
i++;
try {
repeats = Integer.parseInt(args[i]);
} catch (Exception e) {
exit("Could not parse repeats value '" + args[i]
+ "'. Will use the default of '" + repeats
+ "'");
}
}
break;
case "-conservationEthicSeed":
if (i + 1 < args.length) {
i++;
try {
setConservationEthicSeed(Long.parseLong(args[i]));
} catch (Exception e) {
exit("Option value '" + args[i]
+ "' is not in the format 'int:int'. Will "
+ "use the default of '"
+ getConservationEthicSeed() + "'");
}
}
break;
case "-profitMotivationSeed":
if (i + 1 < args.length) {
i++;
try {
setProfitMotivationSeed(Long.parseLong(args[i]));
} catch (Exception e) {
exit("Option value '" + args[i]
+ "' is not in the format 'int:int'. Will "
+ "use the default of '"
+ getProfitMotivationSeed() + "'");
}
}
break;
case "-highCEAgentsPercentage":
if (i + 1 < args.length) {
i++;
try {
setHighCEAgentsPercentage(Double.parseDouble(args[i]));
} catch (Exception e) {
exit("Option value '"
+ args[i]
+ "' is not in the format 'double:double'. Will "
+ "use the default of '"
+ getHighCEAgentsPercentage() + "'");
}
}
break;
case "-high_participation_prob":
if (i + 1 < args.length) {
i++;
try {
setHighParticipationProbability(Double
.parseDouble(args[i]));
} catch (Exception e) {
exit("Option value '"
+ args[i]
+ "' is not in the format 'double:double'. Will "
+ "use the default of '"
+ getHighParticipationProbability() + "'");
}
}
break;
case "-low_participation_prob":
if (i + 1 < args.length) {
i++;
try {
setLowParticipationProbability(Double
.parseDouble(args[i]));
} catch (Exception e) {
exit("Option value '"
+ args[i]
+ "' is not in the format 'double:double'. Will "
+ "use the default of '"
+ getLowParticipationProbability() + "'");
}
}
break;
case "-upper_threshold_c":
if (i + 1 < args.length) {
i++;
try {
setUpperThresholdP(Double.parseDouble(args[i]));
} catch (Exception e) {
exit("Option value '"
+ args[i]
+ "' is not in the format 'double:double'. Will "
+ "use the default of '" + getUpperThresholdC()
+ "'");
}
}
break;
case "-lower_threshold_c":
if (i + 1 < args.length) {
i++;
try {
setLowerThresholdC(Double.parseDouble(args[i]));
} catch (Exception e) {
exit("Option value '"
+ args[i]
+ "' is not in the format 'double:double'. Will "
+ "use the default of '" + getLowerThresholdC()
+ "'");
}
}
break;
case "-upper_threshold_p":
if (i + 1 < args.length) {
i++;
try {
setUpperThresholdP(Double.parseDouble(args[i]));
} catch (Exception e) {
exit("Option value '"
+ args[i]
+ "' is not in the format 'double:double'. Will "
+ "use the default of '" + getUpperThresholdP()
+ "'");
}
}
break;
case "-lower_threshold_p":
if (i + 1 < args.length) {
i++;
try {
setLowerThresholdP(Double.parseDouble(args[i]));
} catch (Exception e) {
exit("Option value '"
+ args[i]
+ "' is not in the format 'double:double'. Will "
+ "use the default of '" + getLowerThresholdP()
+ "'");
}
}
break;
case "-max_c":
if (i + 1 < args.length) {
i++;
try {
setMaxConservationEthic(Double.parseDouble(args[i]));
} catch (Exception e) {
exit("Option value '"
+ args[i]
+ "' is not in the format 'double:double'. Will "
+ "use the default of '"
+ getMaxConservationEthic() + "'");
}
}
break;
case "-max_p":
if (i + 1 < args.length) {
i++;
try {
setMaxProfitMotivation(Double.parseDouble(args[i]));
} catch (Exception e) {
exit("Option value '"
+ args[i]
+ "' is not in the format 'double:double'. Will "
+ "use the default of '"
+ getMaxProfitMotivation() + "'");
}
}
break;
case "-socialNormUpdatePercentage":
if (i + 1 < args.length) {
i++;
try {
setSocialNormUpdatePercentage(Double
.parseDouble(args[i]));
} catch (Exception e) {
exit("Option value '"
+ args[i]
+ "' is not in the format 'double:double'. Will "
+ "use the default of '"
+ getSocialNormUpdatePercentage() + "'");
}
}
break;
case "-profitDifferenctial":
if (i + 1 < args.length) {
i++;
try {
setProfitDifferenctial(Double.parseDouble(args[i]));
} catch (Exception e) {
exit("Option value '"
+ args[i]
+ "' is not in the format 'double:double'. Will "
+ "use the default of '"
+ getProfitDifferenctial() + "'");
}
}
break;
case "-defaultMaxNumberOfBids":
if (i + 1 < args.length) {
i++;
try {
setDefaultMaxNumberOfBids(Double.parseDouble(args[i]));
} catch (Exception e) {
exit("Option value '" + args[i]
+ "' is not in the format 'int:int'. Will "
+ "use the default of '"
+ getDefaultMaxNumberOfBids() + "'");
}
}
break;
case "-bidAddon":
if (i + 1 < args.length) {
i++;
try {
setBidAddon(Double.parseDouble(args[i]));
} catch (Exception e) {
exit("Option value '"
+ args[i]
+ "' is not in the format 'double:double'. Will "
+ "use the default of '" + getBidAddon() + "'");
}
}
break;
case "-profitVariability":
if (i + 1 < args.length) {
i++;
try {
setProfitVariability(Double.parseDouble(args[i]));
} catch (Exception e) {
exit("Option value '"
+ args[i]
+ "' is not in the format 'double:double'. Will "
+ "use the default of '"
+ getProfitVariability() + "'");
}
}
break;
case "-conservationEthicModifier":
if (i + 1 < args.length) {
i++;
try {
setConservationEthicModifier(Double
.parseDouble(args[i]));
} catch (Exception e) {
exit("Option value '"
+ args[i]
+ "' is not in the format 'double:double'. Will "
+ "use the default of '"
+ getConservationEthicModifier() + "'");
}
}
break;
case "-profitMotivationModifier":
if (i + 1 < args.length) {
i++;
try {
setProfitMotivationModifier(Double.parseDouble(args[i]));
} catch (Exception e) {
exit("Option value '"
+ args[i]
+ "' is not in the format 'double:double'. Will "
+ "use the default of '"
+ getProfitMotivationModifier() + "'");
}
}
break;
case "-medProfitRangeMinMargin":
if (i + 1 < args.length) {
i++;
try {
setMedProfitRangeMinMargin(Double.parseDouble(args[i]));
} catch (Exception e) {
exit("Option value '"
+ args[i]
+ "' is not in the format 'double:double'. Will "
+ "use the default of '"
+ getMedProfitRangeMinMargin() + "'");
}
}
break;
case "-highProfitRangeMinMargin":
if (i + 1 < args.length) {
i++;
try {
setHighProfitRangeMinMargin(Double.parseDouble(args[i]));
} catch (Exception e) {
exit("Option value '"
+ args[i]
+ "' is not in the format 'double:double'. Will "
+ "use the default of '"
+ getHighProfitRangeMinMargin() + "'");
}
}
break;
case "-targetPercentage":
if (i + 1 < args.length) {
i++;
try {
setTargetPercentage(Double.parseDouble(args[i]));
} catch (Exception e) {
exit("Option value '"
+ args[i]
+ "' is not in the format 'double:double'. Will "
+ "use the default of '"
+ getTargetPercentage() + "'");
}
}
break;
case "-globalRandomSeed":
if (i + 1 < args.length) {
i++;
try {
setGlobalRandomSeed(Long.parseLong(args[i]));
} catch (Exception e) {
exit("Option value '" + args[i]
+ "' is not in the format 'long'. Will "
+ "use the default of '"
+ getGlobalRandomSeed() + "'");
}
}
break;
case "-h":
exit(null);
}
// print all configurable parameters to a output file
printConfigParams();
}
// Abort if required args were not given
if (gamsDir == null) {
exit("Required option -gams_dir was not specified");
} else if (gamsModel == null) {
exit("Required option -gams_model was not specified");
}
}
/**
* Prints all configurable parameters and their values to a csv file for
* future reference.
*/
private static void printConfigParams() {
try {
FileWriter writer = new FileWriter(
ConstantFileNames.getConfigParametersFileName());
// header line
writer.append("a,bidAddon,c,conservationEthicModifier,defaultMaxNumberOfBids,"
+ "high_participation_prob,highProfitRangeMinMargin,low_participation_prob,lower_threshold_c,"
+ "lower_threshold_p,max_c,max_p,medProfitRangeMinMargin,p,profitDifferenctial,"
+ "profitMotivationModifier,profitVariability,r,socialNormUpdatePercentage,"
+ "upper_threshold_c,upper_threshold_p,targetPercentage,CE_seed,PM_seed,Global_seed,"
+ "highCEAgentsPercentage\n");
// table values
writer.append(Integer.toString(numLandholders));
writer.append(",");
writer.append(Integer.toString(getBidAddon()));
writer.append(",");
writer.append(Integer.toString(cycles));
writer.append(",");
writer.append(Double.toString(getConservationEthicModifier()));
writer.append(",");
writer.append(Integer.toString(getDefaultMaxNumberOfBids()));
writer.append(",");
writer.append(Double.toString(getHighParticipationProbability()));
writer.append(",");
writer.append(Double.toString(getHighProfitRangeMinMargin()));
writer.append(",");
writer.append(Double.toString(getLowParticipationProbability()));
writer.append(",");
writer.append(Double.toString(getLowerThresholdC()));
writer.append(",");
writer.append(Double.toString(getLowerThresholdP()));
writer.append(",");
writer.append(Double.toString(getMaxConservationEthic()));
writer.append(",");
writer.append(Double.toString(getMaxProfitMotivation()));
writer.append(",");
writer.append(Double.toString(getMedProfitRangeMinMargin()));
writer.append(",");
writer.append(Integer.toString(numPackages));
writer.append(",");
writer.append(Double.toString(getProfitDifferenctial()));
writer.append(",");
writer.append(Double.toString(getProfitMotivationModifier()));
writer.append(",");
writer.append(Double.toString(getProfitVariability()));
writer.append(",");
writer.append(Integer.toString(repeats));
writer.append(",");
writer.append(Double.toString(getSocialNormUpdatePercentage()));
writer.append(",");
writer.append(Double.toString(getUpperThresholdC()));
writer.append(",");
writer.append(Double.toString(getUpperThresholdP()));
writer.append(",");
writer.append(Double.toString(getTargetPercentage()));
writer.append(",");
writer.append(Long.toString(getConservationEthicSeed()));
writer.append(",");
writer.append(Long.toString(getProfitMotivationSeed()));
writer.append(",");
writer.append(Long.toString(getGlobalRandomSeed()));
writer.append(",");
writer.append(Double.toString(getHighCEAgentsPercentage()));
writer.flush();
writer.close();
} catch (IOException e) {
Log.error(e.getMessage());
}
}
/**
* Exit the simulation.
*
* @param err
*/
private static void exit(String err) {
if (err != null) {
System.err.println("\nERROR: " + err + "\n");
}
System.out.println(usage());
System.exit(0);
}
/**
* Returns the path to the input file to GAMS model.
*
* @return
*/
public static String GAMSInputFile() {
return csvInputFile;
}
/**
* Returns the path to the output file of the GAMS model.
*
* @return
*/
public static String GAMSOutputFile() {
return csvOutputFile;
}
/**
* Returns the number of packages used by the simulation.
*
* @return
*/
public static int numPackages() {
return numPackages;
}
/**
* Returns the number of land holders in the simulation.
*
* @return
*/
public static int numLandholders() {
return numLandholders;
}
}
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