@Override
public GRCandidateProgram[] crossover(final CandidateProgram p1, final CandidateProgram p2) {
final GRCandidateProgram child1 = (GRCandidateProgram) p1;
final GRCandidateProgram child2 = (GRCandidateProgram) p2;
final NonTerminalSymbol parseTree1 = child1.getParseTree();
final NonTerminalSymbol parseTree2 = child2.getParseTree();
final List<NonTerminalSymbol> nonTerminals1 = parseTree1.getNonTerminalSymbols();
final List<NonTerminalSymbol> nonTerminals2 = parseTree2.getNonTerminalSymbols();
final int point1 = rng.nextInt(nonTerminals1.size());
final NonTerminalSymbol subtree1 = nonTerminals1.get(point1);
// Generate a list of matching non-terminals from the second program.
final List<NonTerminalSymbol> matchingNonTerminals = new ArrayList<NonTerminalSymbol>();
for (final NonTerminalSymbol nt : nonTerminals2) {
if (nt.getGrammarRule().equals(subtree1.getGrammarRule())) {
matchingNonTerminals.add(nt);
}
}
if (matchingNonTerminals.isEmpty()) {
// No valid points in second program, cancel crossover.
return null;
} else {
// Randomly choose a second point out of the matching non-terminals.
final int point2 = rng.nextInt(matchingNonTerminals.size());
final NonTerminalSymbol subtree2 = matchingNonTerminals.get(point2);
// Add crossover points to the stats manager.
Stats.get().addData(XO_POINT1, point1);
Stats.get().addData(XO_POINT2, point2);
// Swap the non-terminals' children.
final List<Symbol> temp = subtree1.getChildren();
subtree1.setChildren(subtree2.getChildren());
subtree2.setChildren(temp);
// Add subtrees into the stats manager.
Stats.get().addData(XO_SUBTREE1, subtree1);
Stats.get().addData(XO_SUBTREE2, subtree2);
}
return new GRCandidateProgram[] {child1, child2};
}
@NotNull
public String getAnalysisSummary() {
StringBuilder sb = new StringBuilder();
sb.append("\n" + _.banner("analysis summary"));
String duration = _.formatTime(System.currentTimeMillis() - stats.getInt("startTime"));
sb.append("\n- total time: " + duration);
sb.append("\n- modules loaded: " + loadedFiles.size());
sb.append("\n- semantic problems: " + semanticErrors.size());
sb.append("\n- failed to parse: " + failedToParse.size());
// calculate number of defs, refs, xrefs
int nDef = 0, nXRef = 0;
for (Binding b : getAllBindings()) {
nDef += 1;
nXRef += b.refs.size();
}
sb.append("\n- number of definitions: " + nDef);
sb.append("\n- number of cross references: " + nXRef);
sb.append("\n- number of references: " + getReferences().size());
long nResolved = this.resolved.size();
long nUnresolved = this.unresolved.size();
sb.append("\n- resolved names: " + nResolved);
sb.append("\n- unresolved names: " + nUnresolved);
sb.append("\n- name resolve rate: " + _.percent(nResolved, nResolved + nUnresolved));
sb.append("\n" + _.getGCStats());
return sb.toString();
}
/**
* Writes the node to the specified output stream.
*
* @param out output stream
* @throws IOException I/O exception
*/
void write(final DataOutput out) throws IOException {
out.writeNum(name);
out.write1(kind);
out.writeNum(0);
out.writeNum(children.length);
out.writeDouble(1);
// update leaf flag
boolean leaf = stats.isLeaf();
for (final PathNode child : children) {
leaf &= child.kind == Data.TEXT || child.kind == Data.ATTR;
}
stats.setLeaf(leaf);
stats.write(out);
for (final PathNode child : children) child.write(out);
}
/**
* get xp and gold from killing characters
*
* @param Charac collision characters
*/
public void KillXP(GameCharacter[] Charac) {
// When the character dies
for (int i = 0; i < Charac.length; i++) {
if (Charac[i].ISDEAD && Charac[i].COLL_LISTENER) {
Charac[i].COLL_LISTENER = false;
audDEATH.playAudio("death.wav");
// Remove collision listener
for (int j = 0; j < FIREBALL.length; j++) {
FIREBALL[j].removeCollChar(Charac[i]);
}
for (int j = 0; j < SHOCK.length; j++) {
SHOCK[j].removeCollChar(Charac[i]);
}
for (int j = 0; j < DARKNESS.length; j++) {
DARKNESS[j].removeCollChar(Charac[i]);
}
for (int j = 0; j < LIFE_DRAIN.length; j++) {
LIFE_DRAIN[j].removeCollChar(Charac[i]);
}
// Add Xp
STATS.IncreaseXP(10 * Charac[i].STATS.LEVEL);
// Add Gold
this.GOLD += Charac[i].GOLD;
}
}
}
/**
* Default constructor.
*
* @param name node name
* @param kind node kind
* @param parent parent node
* @param count counter
*/
private PathNode(final int name, final byte kind, final PathNode parent, final int count) {
this.children = new PathNode[0];
this.name = (short) name;
this.kind = kind;
this.parent = parent;
stats = new Stats();
stats.count = count;
}
public void CompleteQuest(int Index) {
Quest qstComp = QUEST_LIST.elementAt(Index);
qstComp.STATUS = 3;
qstComp.QUEST_GIVER.QUEST_LIST.elementAt(0).STATUS = 3;
qstComp.QUEST_GIVER.QUEST_LIST.removeElementAt(0);
STATS.IncreaseXP(qstComp.XP);
GOLD += qstComp.GOLD;
}
public boolean pass(int[] bowl, int bowlId, int round, boolean canPick, boolean mustTake) {
float[] currentBowl = Vectors.castToFloatArray(bowl);
numFruits = Vectors.sum(currentBowl);
if (!canPick) {
log("CANT PICK RETURNING EARLY");
return false;
}
log("|||||||||||||||||||||||||||||||||||||||||");
log("Number of bowls that will pass: "******"Number of bowls remaining: " + bowlsRemaining);
// Initialize the histogram now that we know how many fruit come in a bowl
if (mle == null) {
mle = new MLE((int) numFruits, numPlayers, prefs);
}
mle.addObservation(currentBowl);
// calculate score for the bowl the we get
float score = score(currentBowl);
scoreStats.addData(score);
// get MLE and score it
float[] uniformBowl = new float[currentBowl.length];
for (int i = 0; i < bowl.length; i++) {
uniformBowl[i] = numFruits / bowl.length;
}
float uniformScore = score(uniformBowl);
log("Uniform Score: " + uniformScore);
log("MLE Score: " + score(mle.bowl(round == 0)));
log("Score: " + score);
float[] mleBowl = mle.bowl(round == 0);
Stats bowlGenerationStats = mle.getBowlGenerationStats();
float[] mlePlatter = mle.platter();
float maxScore = maxScore(mlePlatter);
boolean take =
shouldTakeBasedOnScore(
score, score(mleBowl), maxScore, bowlGenerationStats.standardDeviation());
bowlsRemaining--;
return take;
}
public Analyzer(Map<String, Object> options) {
self = this;
if (options != null) {
this.options = options;
} else {
this.options = new HashMap<>();
}
stats.putInt("startTime", System.currentTimeMillis());
this.suffix = ".rb";
addEnvPath();
copyModels();
createCacheDir();
getAstCache();
}
/**
* Constructor, specifying an input stream.
*
* @param in input stream
* @param node parent node
* @throws IOException I/O exception
*/
PathNode(final DataInput in, final PathNode node) throws IOException {
name = (short) in.readNum();
kind = (byte) in.read();
final int count = in.readNum();
children = new PathNode[in.readNum()];
if (in.readDouble() == 1) {
// "1" indicates the format introduced with Version 7.1
stats = new Stats(in);
} else {
// create old format
stats = new Stats();
stats.count = count;
}
parent = node;
for (int c = 0; c < children.length; ++c) children[c] = new PathNode(in, this);
}
private static int buildRings(
final IScope scope,
final IAgentFilter filter,
final Double distance,
final List<Double> rings,
final Map<Double, Integer> ringsPn,
final IAddressableContainer<Integer, IAgent, Integer, IAgent> agents) {
IList<ILocation> locs = GamaListFactory.create(Types.POINT);
for (IAgent ag : agents.iterable(scope)) {
locs.add(ag.getLocation());
}
ILocation centralLoc = (ILocation) Stats.getMean(scope, locs);
IAgent centralAg = scope.getTopology().getAgentClosestTo(scope, centralLoc, filter);
List<IAgent> neighbors =
distance == 0 || filter == null
? new ArrayList<IAgent>()
: new ArrayList<IAgent>(
scope.getTopology().getNeighborsOf(scope, centralAg, distance, filter));
for (IAgent ag : neighbors) {
double dist = centralLoc.euclidianDistanceTo(ag.getLocation());
if (dist == 0) {
continue;
}
if (!rings.contains(dist)) {
rings.add(dist);
ringsPn.put(dist, 1);
} else {
ringsPn.put(dist, 1 + ringsPn.get(dist));
}
}
Collections.sort(rings);
for (int i = 1; i < rings.size(); i++) {
double dist = rings.get(i);
double dist1 = rings.get(i - 1);
ringsPn.put(dist, ringsPn.get(dist) + ringsPn.get(dist1));
}
return rings.size();
}
void finish() {
long elapsed = System.nanoTime() - startTime;
Object st = accum.get(name);
if (st == null) accum.put(name, new Stats(elapsed, numOps));
else ((Stats) st).addTime(elapsed, numOps);
}
/**
* Run the pass <code>pass</code> on the job. Before running the pass on the job, if the job is a
* <code>SourceJob</code>, then this method will ensure that the scheduling invariants are
* enforced by calling <code>enforceInvariants</code>.
*/
protected void runPass(Job job, Pass pass) throws CyclicDependencyException {
// make sure that all scheduling invariants are satisfied before running
// the next pass. We may thus execute some other passes on other
// jobs running the given pass.
try {
enforceInvariants(job, pass);
} catch (CyclicDependencyException e) {
// A job that depends on this job is still running
// an earlier pass. We cannot continue this pass,
// but we can just silently fail since the job we're
// that depends on this one will eventually try
// to run this pass again when it reaches a barrier.
return;
}
if (getOptions().disable_passes.contains(pass.name())) {
if (Report.should_report(Report.frontend, 1)) Report.report(1, "Skipping pass " + pass);
job.finishPass(pass, true);
return;
}
if (Report.should_report(Report.frontend, 1))
Report.report(1, "Trying to run pass " + pass + " in " + job);
if (job.isRunning()) {
// We're currently running. We can't reach the goal.
throw new CyclicDependencyException(job + " cannot reach pass " + pass);
}
pass.resetTimers();
boolean result = false;
if (job.status()) {
Job oldCurrentJob = this.currentJob;
this.currentJob = job;
Report.should_report.push(pass.name());
// Stop the timer on the old pass. */
Pass oldPass = oldCurrentJob != null ? oldCurrentJob.runningPass() : null;
if (oldPass != null) {
oldPass.toggleTimers(true);
}
job.setRunningPass(pass);
pass.toggleTimers(false);
result = pass.run();
pass.toggleTimers(false);
job.setRunningPass(null);
Report.should_report.pop();
this.currentJob = oldCurrentJob;
// Restart the timer on the old pass. */
if (oldPass != null) {
oldPass.toggleTimers(true);
}
// pretty-print this pass if we need to.
if (getOptions().print_ast.contains(pass.name())) {
System.err.println("--------------------------------" + "--------------------------------");
System.err.println("Pretty-printing AST for " + job + " after " + pass.name());
PrettyPrinter pp = new PrettyPrinter();
pp.printAst(job.ast(), new CodeWriter(System.err, 78));
}
// dump this pass if we need to.
if (getOptions().dump_ast.contains(pass.name())) {
System.err.println("--------------------------------" + "--------------------------------");
System.err.println("Dumping AST for " + job + " after " + pass.name());
NodeVisitor dumper = new DumpAst(new CodeWriter(System.err, 78));
dumper = dumper.begin();
job.ast().visit(dumper);
dumper.finish();
}
// This seems to work around a VM bug on linux with JDK
// 1.4.0. The mark-sweep collector will sometimes crash.
// Running the GC explicitly here makes the bug go away.
// If this fails, maybe run with bigger heap.
// System.gc();
}
Stats stats = getStats();
stats.accumPassTimes(pass.id(), pass.inclusiveTime(), pass.exclusiveTime());
if (Report.should_report(Report.time, 2)) {
Report.report(
2,
"Finished "
+ pass
+ " status="
+ str(result)
+ " inclusive_time="
+ pass.inclusiveTime()
+ " exclusive_time="
+ pass.exclusiveTime());
} else if (Report.should_report(Report.frontend, 1)) {
Report.report(1, "Finished " + pass + " status=" + str(result));
}
job.finishPass(pass, result);
}
private static void computeXaXsTransitions(
final IScope scope,
final IAgentFilter filter,
final GamaMatrix<Double> fuzzytransitions,
final Double distance,
final IContainer<Integer, IAgent> agents,
final int nbCat,
final Map<List<Integer>, Map<Double, Double>> XaPerTransition,
final Map<List<Integer>, Map<Double, Double>> XsPerTransition,
final Set<Double> Xvals) {
IList<ILocation> locs = GamaListFactory.create(Types.POINT);
for (IAgent ag : agents.iterable(scope)) {
locs.add(ag.getLocation());
}
ILocation centralLoc = (ILocation) Stats.getMean(scope, locs);
if (filter != null) {
IAgent centralAg = scope.getTopology().getAgentClosestTo(scope, centralLoc, filter);
List<IAgent> neighbors =
distance == 0
? new ArrayList<IAgent>()
: new ArrayList<IAgent>(
scope.getTopology().getNeighborsOf(scope, centralAg, distance, filter));
double sizeNorm = FastMath.sqrt(centralAg.getEnvelope().getArea());
Map<IAgent, Double> distancesCoeff = new TOrderedHashMap<IAgent, Double>();
distancesCoeff.put(centralAg, 1.0);
for (IAgent ag : neighbors) {
double euclidDist = centralAg.getLocation().euclidianDistanceTo(ag.getLocation());
double dist = 1 / (1.0 + euclidDist / sizeNorm);
distancesCoeff.put(ag, dist);
}
for (int i = 0; i < nbCat; i++) {
for (int j = 0; j < nbCat; j++) {
for (int k = 0; k < nbCat; k++) {
List<Integer> ca = new ArrayList();
ca.add(i);
ca.add(j);
ca.add(k);
double xa = 0;
double xs = 0;
for (IAgent ag : distancesCoeff.keySet()) {
double dist = distancesCoeff.get(ag);
double xatmp = fuzzyTransition(scope, fuzzytransitions, nbCat, i, k, i, j) * dist;
double xstmp = fuzzyTransition(scope, fuzzytransitions, nbCat, i, j, i, k) * dist;
if (xatmp > xa) {
xa = xatmp;
}
if (xstmp > xs) {
xs = xstmp;
}
}
if (xa > 0) {
Map<Double, Double> mapxa = XaPerTransition.get(ca);
if (mapxa == null) {
mapxa = new TOrderedHashMap<Double, Double>();
mapxa.put(xa, 1.0);
XaPerTransition.put(ca, mapxa);
} else {
if (mapxa.containsKey(xa)) {
mapxa.put(xa, mapxa.get(xa) + 1.0);
} else {
mapxa.put(xa, 1.0);
}
}
Xvals.add(xa);
}
if (xs > 0) {
Map<Double, Double> mapxs = XsPerTransition.get(ca);
if (mapxs == null) {
mapxs = new TOrderedHashMap<Double, Double>();
mapxs.put(xs, 1.0);
XsPerTransition.put(ca, mapxs);
} else {
if (mapxs.containsKey(xa)) {
mapxs.put(xs, mapxs.get(xs) + 1.0);
} else {
mapxs.put(xs, 1.0);
}
}
Xvals.add(xs);
}
}
}
}
}
}
public void integrateObservation(int[] succState, float currFitScore) {
// If this is the first observation of the round
if (state == null) {
state = succState;
action = new boolean[Environment.numberOfKeys];
prevFitScore = 0;
bestScore = 0;
possibleActions = getPossibleActions(environment);
// Unpack Values
if (learnedParams.containsKey("weights")) {
iter = (Iteration) learnedParams.get("iter");
rm = (ReplayMemory) learnedParams.get("rm");
weights = (HashMap<String, double[][]>) learnedParams.get("weights");
System.out.println("Starting Simulation at iteration : " + Integer.toString(iter.value));
} else {
// If this is the first observation of the simulation/trials
rm = new ReplayMemory(GlobalOptions.replaySize);
weights = new HashMap<String, double[][]>();
iter = new Iteration(1);
learnedParams.put("weights", weights);
learnedParams.put("rm", rm);
learnedParams.put("iter", iter);
}
if (net == null) {
numFeatures = state.length + possibleActions.size() + 1;
int numActions = possibleActions.size();
// Network Architecture
List<LayerSpec> layerSpecs = new ArrayList<LayerSpec>();
// Layer 1:
layerSpecs.add(
new LayerSpec(LayerFactory.TYPE_FULLY_CONNECTED, numFeatures, GlobalOptions.h1Size));
layerSpecs.add(
new LayerSpec(LayerFactory.TYPE_RELU, GlobalOptions.batchSize, GlobalOptions.h1Size));
// Layer 2:
layerSpecs.add(
new LayerSpec(
LayerFactory.TYPE_FULLY_CONNECTED, GlobalOptions.h1Size, GlobalOptions.h2Size));
layerSpecs.add(
new LayerSpec(LayerFactory.TYPE_RELU, GlobalOptions.batchSize, GlobalOptions.h2Size));
// Layer 3:
layerSpecs.add(new LayerSpec(LayerFactory.TYPE_FULLY_CONNECTED, GlobalOptions.h2Size, 1));
net = new NeuralNet(layerSpecs, weights);
}
}
// state and action denote (s,a) while succState and succAction denote (s'a')
// Reward denotes r
StateActionPair SAP = new StateActionPair(state, action);
boolean[] succAction = findBestAction(environment, succState);
StateActionPair succSAP = new StateActionPair(succState, succAction);
double succBestScore = evalScore(succSAP);
float reward = currFitScore - prevFitScore;
if (GlobalOptions.useIndicatorRewards) {
if (reward != 0) reward = reward > 0 ? 1.0f : -1.0f;
}
double trueScore = reward + GlobalOptions.dicount * succBestScore;
rm.addMemory(extractFeatures(SAP)[0], trueScore);
// Annealed learning rate and epsilon greedy
if (iter.value % GlobalOptions.DECAY_STEP == 0
&& !GlobalOptions.testTime
&& GlobalOptions.LR > GlobalOptions.MIN_LR) {
GlobalOptions.LR = GlobalOptions.LR * GlobalOptions.decayFactor;
// RANDOM_ACTION_EPSILON = RANDOM_ACTION_EPSILON * DECAY_FACTOR;
System.out.println(
"Decay Step - LR : "
+ Double.toString(GlobalOptions.LR)
+ " Epsilon : "
+ Double.toString(randomJump));
}
// only do this update on every n-th iteration
if (iter.value % GlobalOptions.UPDATE_INTERVAL == 0 && !GlobalOptions.testTime) {
List<double[][]> batch = rm.sample(GlobalOptions.batchSize);
double[][] trainX = batch.get(0);
double[][] trainy = batch.get(1);
double[][] pred = net.forward(trainX);
double[][] trainError = Matrix.subtract(pred, trainy);
double regError = 0.5 * GlobalOptions.regularizationLamda * net.getWeightSq();
trainError = Matrix.scalarAdd(trainError, regError);
net.backprop(trainError, GlobalOptions.LR, GlobalOptions.regularizationLamda);
}
if (iter.value % GlobalOptions.STAT_INTERVAL == 0 && !GlobalOptions.testTime) {
// Print learning statistics - on every nth iteration
double error = (evalScore(SAP) - trueScore);
stats.addError(error);
stats.addWeights(net);
stats.addLearningRate(GlobalOptions.LR);
stats.addEpsilonGreedy(randomJump);
stats.flush();
}
// Update Persistent Parameters
iter.value++;
state = succState;
action = succAction;
prevFitScore = currFitScore;
}
/**
* Constructor to create a character
*
* @param x X Position
* @param y Y Position
* @param w Width of Image
* @param h Height of Image
* @param FileN Name of image file
* @param S Max number of frames
*/
public GameCharacter(
double x, double y, double w, double h, String FileN, int S, int Ty, String c) {
// Set position and size
X = x;
Y = y;
W = w;
H = h;
BASIC_PROCESS = new ProgressBar(new Font("Arial", 36, 36), this);
BASIC_EFFECTS = new ProgressBar(new Font("Arial", 36, 36), this);
// Add magic attacks
// Fireball
for (int i = 0; i < FIREBALL.length; i++) {
FIREBALL[i] = new MagicAttack(-500, -500, 39, 41, "Fireball.png", 3, 1, 2, "Fireball");
FIREBALL[i].STATS.setStats(new String[] {"Damage=10", "Points=10"});
FIREBALL[i].CASTER = this;
}
// Shock
for (int i = 0; i < SHOCK.length; i++) {
SHOCK[i] = new MagicAttack(-500, -500, 39, 41, "Shock.png", 2, 1, 0, "Shock");
SHOCK[i].STATS.setStats(new String[] {"Damage=20", "Points=15"});
SHOCK[i].CASTER = this;
}
// Darkness
for (int i = 0; i < DARKNESS.length; i++) {
DARKNESS[i] = new MagicAttack(-500, -500, 165, 164, "Darkness.png", 3, 1, 2, "Darkness");
DARKNESS[i].STATS.setStats(new String[] {"Damage=100", "Points=50"});
DARKNESS[i].CASTER = this;
}
// Life Drain
for (int i = 0; i < LIFE_DRAIN.length; i++) {
LIFE_DRAIN[i] = new MagicAttack(-500, -500, 32, 32, "Life Drain.png", 7, 1, 0, "Life Drain");
LIFE_DRAIN[i].STATS.setStats(new String[] {"Damage=50", "Points=25"});
LIFE_DRAIN[i].CASTER = this;
}
// Get Image
try {
if (isJar()) {
// Character
imgCHARAC = getImage("/Graphics/Character/", FileN);
// Blood
int BloodType = (int) Math.round(Math.random() * 3) + 1;
imgBLOOD = getImage("/Graphics/Effects/", "Dead" + BloodType + ".png");
// Quest
imgQStart = getImage("/Graphics/Effects/", "Quest_Start.png");
imgQEnd = getImage("/Graphics/Effects/", "Quest_Complete.png");
} else {
// Character
imgCHARAC = ImageIO.read(Paths.get(DIRECT + FileN).toFile());
// Blood
int BloodType = (int) Math.round(Math.random() * 3) + 1;
imgBLOOD = ImageIO.read(Paths.get(DIRECT2 + "Dead" + BloodType + ".png").toFile());
// Quest
imgQStart = ImageIO.read(Paths.get(DIRECT2 + "Quest_Start.png").toFile());
imgQEnd = ImageIO.read(Paths.get(DIRECT2 + "Quest_Complete.png").toFile());
}
} catch (Exception e) {
}
// Max number of frames
SIZE = S;
// Sprite type
TYPE = Ty;
// Assign class
CLASS = c;
Cl = c;
// Add items and attacks according to class
if (CLASS.equals("Player")) {
// Add items
INVENTORY.addItem(
"Health Potion", 25, 1, "Health Pot.png", "Potion", new String[] {"Points=50"});
INVENTORY.addItem(
"Rusted Dagger",
20,
1,
"Dagger_4.png",
"Meele",
new String[] {"Damage=10", "Attack Speed=1"});
INVENTORY.addItem(
"Wooden Staff",
20,
1,
"Staff_1.png",
"Meele",
new String[] {"Damage=5", "Attack Speed=1"});
// Equip items
INVENTORY.ItemEffect(1, this);
// MEELE_WEAPON=null;
// Assign Magic
SPELL_LIST.add(FIREBALL);
// Inventory type
INVENTORY.Type = "Player";
} else if (CLASS.equals("Citizen")) {
// Add items
INVENTORY.addItem(
"Health Potion", 25, 1, "Health Pot.png", "Potion", new String[] {"Points=50"});
// Add Ai
NAI = new NPCAI(this);
// Add Gold
this.GOLD = (int) Math.round(Math.random() * 15 + 5);
INVENTORY.Type = "Friendly";
} else if (CLASS.equals("Blacksmith")) {
// Add items
INVENTORY.addItem(
"Silver Dagger",
250,
1,
"Dagger_3.png",
"Meele",
new String[] {"Damage=10", "Attack Speed=1"});
INVENTORY.addItem(
"Steel Dagger",
450,
1,
"Dagger_5.png",
"Meele",
new String[] {"Damage=35", "Attack Speed=1"});
// INVENTORY.addItem("Assassin blade", 750,1, "Dagger_6.png","Meele",new
// String[]{"Damage=45","Attack Speed=1"});
// INVENTORY.addItem("Serpent Dagger", 5000,1, "Dagger_2.png","Meele",new
// String[]{"Damage=50","Attack Speed=1"});
// INVENTORY.addItem("Dagger of Time", 5050,1, "Dagger_1.png","Meele",new
// String[]{"Damage=75","Attack Speed=1"});
INVENTORY.addItem(
"Steel Sword",
450,
1,
"Sword_1.png",
"Meele",
new String[] {"Damage=30", "Attack Speed=0.65"});
INVENTORY.addItem(
"Iron Sword",
50,
1,
"Sword_2.png",
"Meele",
new String[] {"Damage=15", "Attack Speed=0.65"});
INVENTORY.addItem(
"Silver Sword",
100,
1,
"Sword_5.png",
"Meele",
new String[] {"Damage=20", "Attack Speed=0.5"});
// INVENTORY.addItem("Iron Scimitar", 150,1, "Sword_7.png","Meele",new
// String[]{"Damage=15","Attack Speed=0.75"});
// INVENTORY.addItem("Steel Scimitar", 500,1, "Sword_4.png","Meele",new
// String[]{"Damage=50","Attack Speed=0.75"});
// INVENTORY.addItem("Steel Katana", 450,1, "Sword_6.png","Meele",new
// String[]{"Damage=40","Attack Speed=0.95"});
// INVENTORY.addItem("Butcher's Sword", 5000,1, "Sword_3.png","Meele",new
// String[]{"Damage=100","Attack Speed=0.55"});
// INVENTORY.addItem("Blood Thirster", 6000,1, "Sword_8.png","Meele",new
// String[]{"Damage=200","Attack Speed=0.75"});
INVENTORY.addItem(
"Iron Hammer",
150,
1,
"Hammer_1.png",
"Meele",
new String[] {"Damage=40", "Attack Speed=0.15"});
// INVENTORY.addItem("Steel Hammer", 450,1, "Hammer_0.png","Meele",new
// String[]{"Damage=60","Attack Speed=0.15"});
// INVENTORY.addItem("Iron Mace", 50,1, "Mace_1.png","Meele",new String[]{"Damage=15","Attack
// Speed=0.5"});
INVENTORY.addItem("Steel Helmet", 250, 1, "Head_1.png", "H_armor", new String[] {"Armor=20"});
INVENTORY.addItem("Iron Helmet", 150, 1, "Head_2.png", "H_armor", new String[] {"Armor=5"});
// INVENTORY.addItem("Iron Horn Helmet", 350,1, "Head_6.png","H_armor",new
// String[]{"Armor=50","Magic Resist=0"});
// INVENTORY.addItem("Steel Horn Helmet", 500,1, "Head_7.png","H_armor",new
// String[]{"Armor=80","Magic Resist=0"});
// INVENTORY.addItem("Skysteel Helmet", 4000,1, "Head_4.png","H_armor",new
// String[]{"Armor=60","Magic Resist=25"});
INVENTORY.addItem(
"Iron Cuirass", 250, 1, "Chest_4.png", "C_armor", new String[] {"Armor=20"});
INVENTORY.addItem(
"Steel Cuirass", 350, 1, "Chest_1.png", "C_armor", new String[] {"Armor=30"});
// INVENTORY.addItem("Scale Cuirass", 550,1, "Chest_3.png","C_armor",new
// String[]{"Armor=50"});
// INVENTORY.addItem("Dark metal Cuirass", 750,1, "Chest_6.png","C_armor",new
// String[]{"Armor=70"});
// INVENTORY.addItem("Master Cuirass", 3050,1, "Chest_5.png","C_armor",new
// String[]{"Armor=80","Magic Resist=25"});
// INVENTORY.addItem("Legendary Cuirass", 3050,1, "Chest_2.png","C_armor",new
// String[]{"Armor=100","Magic Resist=100"});
INVENTORY.addItem(
"Wooden Shield",
50,
1,
"Shield_1.png",
"Shield",
new String[] {"Armor=5", "Magic Resist=0"});
// Add AI
NAI = new NPCAI(this);
// Identify as trader
INVENTORY.Type = "Trader";
// Set Stats
STATS.setStats(new String[] {"Level = 5 "});
MAX_HEALTH = 200;
HEALTH = (int) MAX_HEALTH;
} else if (CLASS.equals("Alchemist")) {
// Add Items
INVENTORY.addItem(
"Health Potion", 25, 50, "Health Pot.png", "Potion", new String[] {"Points=50"});
INVENTORY.addItem(
"Mana Potion", 20, 50, "Mana Pot.png", "Potion", new String[] {"Points=50"});
INVENTORY.addItem(
"Speed Potion", 10, 50, "Speed Pot.png", "Potion", new String[] {"Points=5"});
// INVENTORY.addItem("Invisib Potion", 50, 10, "Invisibility Pot.png","Potion",new
// String[]{"Points=5"});
// Add AI
NAI = new NPCAI(this);
// Identify as trader
INVENTORY.Type = "Trader";
} else if (CLASS.equals("Inn Keeper")) {
// Add Items
INVENTORY.addItem("Roasted Fish", 15, 10, "Fish.png", "Food", new String[] {"Points=5"});
INVENTORY.addItem("Apple", 15, 10, "Apple.png", "Food", new String[] {"Points=2"});
// Add AI
NAI = new NPCAI(this);
// Identify as trader
INVENTORY.Type = "Trader";
} else if (CLASS.equals("Mage")) {
INVENTORY.addItem(
"Leather Cap",
250,
1,
"Head_8.png",
"H_armor",
new String[] {"Armor=5", "Magic Resist=25"});
INVENTORY.addItem(
"Dark Leather Cap",
300,
1,
"Head_9.png",
"H_armor",
new String[] {"Armor=5", "Magic Resist=50"});
// INVENTORY.addItem("Jesters Cap", 500,1, "Head_5.png","H_armor",new
// String[]{"Armor=10","Magic Resist=90"});
// INVENTORY.addItem("Skull Helmet", 5000,1, "Head_3.png","H_armor",new
// String[]{"Armor=100","Magic Resist=100"});
INVENTORY.addItem(
"Shock Spell Stone",
250,
1,
"Stone_1.png",
"SpellStoner",
new String[] {"Damage=" + SHOCK[0].STATS.DAMAGE});
// INVENTORY.addItem("Darkness Spell Stone", 500,1, "Stone_1.png","SpellStoner",new
// String[]{"Damage="+DARKNESS[0].STATS.DAMAGE});
INVENTORY.addItem(
"Life Drain Spell Stone",
300,
1,
"Stone_1.png",
"SpellStoner",
new String[] {"Damage=" + LIFE_DRAIN[0].STATS.DAMAGE});
// Add AI
NAI = new NPCAI(this);
// Identify as trader
INVENTORY.Type = "Trader";
} else if (CLASS.equals("Skeleton")) {
// Add items
INVENTORY.addItem(
"Bone Club", 5, 1, "Mace_2.png", "Meele", new String[] {"Damage=5", "Attack Speed=1"});
// Add Gold
this.GOLD = (int) Math.round(Math.random() * 10 + 2);
// Use Item
INVENTORY.ItemEffect(0, this);
// Add AI
EAI = new EnemyAI(this);
} else if (CLASS.equals("Skeleton Chieftan")) {
// Add Item
INVENTORY.addItem(
"Iron Sword",
50,
1,
"Sword_2.png",
"Meele",
new String[] {"Damage=15", "Attack Speed=0.65"});
INVENTORY.addItem(
"Health Potion", 25, 1, "Health Pot.png", "Potion", new String[] {"Points=50"});
// Add Gold
this.GOLD = (int) Math.round(Math.random() * 50 + 25);
// Use Item
INVENTORY.ItemEffect(0, this);
// Assign Stats
STATS.LEVEL = 3;
HEALTH = 250;
MAX_HEALTH = 250;
// Opify
Opify(1 / 1.25);
// Add AI
EAI = new EnemyAI(this);
} else if (CLASS.equals("Shaman")) {
// Add items
INVENTORY.addItem(
"Health Potion", 25, 1, "Health Pot.png", "Potion", new String[] {"Points=50"});
// Add Ai
NAI = new NPCAI(this);
} else if (CLASS.equals("Dark Elf")) {
// Add items
INVENTORY.addItem(
"Rusted Dagger",
20,
1,
"Dagger_4.png",
"Meele",
new String[] {"Damage=10", "Attack Speed=1"});
INVENTORY.addItem("Iron Helmet", 150, 1, "Head_2.png", "H_armor", new String[] {"Armor=5"});
// Assign Stats
STATS.LEVEL = 2;
HEALTH = 150;
MAX_HEALTH = 150;
// Add Gold
this.GOLD = (int) Math.round(Math.random() * 15 + 2);
// Use Item
INVENTORY.ItemEffect(0, this);
INVENTORY.ItemEffect(1, this);
// Add Ai
EAI = new EnemyAI(this);
} else if (CLASS.equals("Prisoner")) {
INVENTORY.addItem("Key", 0, 1, "Key.png", "Key", new String[] {});
// NAI= new NPCAI(this);
}
}
/** Retrieves statistics data based on app usage */
public Stats getStats() {
Stats mStats = new Stats();
// Categories
mStats.setCategories(getCategories().size());
// Everything about notes and their text stats
int notesActive = 0,
notesArchived = 0,
notesTrashed = 0,
reminders = 0,
remindersFuture = 0,
checklists = 0,
notesMasked = 0,
tags = 0,
locations = 0;
int totalWords = 0, totalChars = 0, maxWords = 0, maxChars = 0, avgWords = 0, avgChars = 0;
int words, chars;
List<Note> notes = getAllNotes(false);
for (Note note : notes) {
if (note.isTrashed()) {
notesTrashed++;
} else if (note.isArchived()) {
notesArchived++;
} else {
notesActive++;
}
if (note.getAlarm() != null && Long.parseLong(note.getAlarm()) > 0) {
if (Long.parseLong(note.getAlarm()) > Calendar.getInstance().getTimeInMillis()) {
remindersFuture++;
} else {
reminders++;
}
}
if (note.isChecklist()) {
checklists++;
}
if (note.isLocked()) {
notesMasked++;
}
tags += TagsHelper.retrieveTags(note).size();
if (note.getLongitude() != null && note.getLongitude() != 0) {
locations++;
}
words = getWords(note);
chars = getChars(note);
if (words > maxWords) {
maxWords = words;
}
if (chars > maxChars) {
maxChars = chars;
}
totalWords += words;
totalChars += chars;
}
mStats.setNotesActive(notesActive);
mStats.setNotesArchived(notesArchived);
mStats.setNotesTrashed(notesTrashed);
mStats.setReminders(reminders);
mStats.setRemindersFutures(remindersFuture);
mStats.setNotesChecklist(checklists);
mStats.setNotesMasked(notesMasked);
mStats.setTags(tags);
mStats.setLocation(locations);
avgWords = totalWords / (notes.size() != 0 ? notes.size() : 1);
avgChars = totalChars / (notes.size() != 0 ? notes.size() : 1);
mStats.setWords(totalWords);
mStats.setWordsMax(maxWords);
mStats.setWordsAvg(avgWords);
mStats.setChars(totalChars);
mStats.setCharsMax(maxChars);
mStats.setCharsAvg(avgChars);
// Everything about attachments
int attachmentsAll = 0, images = 0, videos = 0, audioRecordings = 0, sketches = 0, files = 0;
List<Attachment> attachments = getAllAttachments();
for (Attachment attachment : attachments) {
if (Constants.MIME_TYPE_IMAGE.equals(attachment.getMime_type())) {
images++;
} else if (Constants.MIME_TYPE_VIDEO.equals(attachment.getMime_type())) {
videos++;
} else if (Constants.MIME_TYPE_AUDIO.equals(attachment.getMime_type())) {
audioRecordings++;
} else if (Constants.MIME_TYPE_SKETCH.equals(attachment.getMime_type())) {
sketches++;
} else if (Constants.MIME_TYPE_FILES.equals(attachment.getMime_type())) {
files++;
}
}
mStats.setAttachments(attachmentsAll);
mStats.setImages(images);
mStats.setVideos(videos);
mStats.setAudioRecordings(audioRecordings);
mStats.setSketches(sketches);
mStats.setFiles(files);
return mStats;
}