use of nars.lab.ioutils.ChangedTextInput in project opennars by opennars.
the class Predict_NARS_Core method main.
public static void main(String[] args) throws Narsese.InvalidInputException, InterruptedException {
Parameters.DEBUG = false;
int duration = 4;
float freq = 1.0f / duration * 0.03f;
double discretization = 10;
n = new NAR();
n.param.noiseLevel.set(0);
Random rnd = new Random();
n.on(TaskImmediateProcess.class, new TaskImmediateProcess() {
@Override
public void onProcessed(Task t, DerivationContext n) {
// return;
if (t.sentence.getOccurenceTime() >= n.memory.time() && t.sentence.truth.getExpectation() > 0.5) {
Term term = t.getTerm();
int time = (int) t.sentence.getOccurenceTime() / thinkInterval;
/*if(positionTruthExp.containsKey(time)) {
if(positionTruthExp.get(time) > t.sentence.truth.getExpectation()) {
return;
}
}*/
int value = -1;
String ts = term.toString();
// Prediction(t.sentence, ts, time);
}
}
});
TreeMLData observed = new TreeMLData("value", Color.WHITE).setRange(0, 1f);
// predictions = new TreeMLData[(int)discretization];
predicted = new TreeMLData("seen", Color.WHITE).setRange(0, 1f);
// for (int i = 0; i < predictions.length; i++) {
// predictions[i] = new TreeMLData("Pred" + i,
// Color.getHSBColor(0.25f + i / 4f, 0.85f, 0.85f));
// }
pred = (LineChart) new LineChart(predicted).thickness(16f).height(128).drawOverlapped();
TimelineVis tc = new TimelineVis(pred, new LineChart(observed).thickness(16f).height(128).drawOverlapped());
new NWindow("_", new PCanvas(tc)).show(800, 800, true);
n.cycles((int) discretization * 4);
NARSwing.themeInvert();
new NARSwing(n);
ChangedTextInput chg = new ChangedTextInput(n);
int k = 0;
String lastInput = "";
boolean pause = false;
HashSet<String> qus = new HashSet<String>();
int truecnt = 0;
String saved = "";
int lastOrival = 0;
while (true) {
int steps = 40;
int h = 0;
do {
truecnt++;
if (truecnt % 100 == 0) {
// qus.clear();
}
for (int i = 0; i < thinkInterval; i++) {
n.cycles(1);
}
Thread.sleep(10);
h++;
int repeat = 500;
signal = (float) Math.sin(freq * (k / 2 % 500) - Math.PI / 2) * 0.5f + 0.5f;
int time = (int) (n.time() / thinkInterval);
int val2 = (int) (((int) (((signal) * discretization)) * (10.0 / discretization)));
// System.out.println("observed "+val);
int tmp = val2;
if (!pause && val2 != lastOrival) {
float noise_amp = 0.5f;
// noise
val2 += (rnd.nextDouble() * noise_amp * 0.5f - noise_amp * 0.25f);
}
lastOrival = tmp;
final int val = val2;
lastInput = "<{" + val + "} --> value>. :|:";
if (k % repeat == 0 && k != 0) {
pause = true;
// new run
n.memory.seq_current.clear();
}
if (!pause && !saved.isEmpty()) {
chg.set(saved);
saved = "";
}
observed.add((int) time, val / 10.0);
int curval = val;
if (QUAnswers.containsKey(val)) {
curval = QUAnswers.get(val);
}
int curtime = time;
int hh = 0;
// QUAnswers.put(8, 0); //end to start link is fixed
while (QUAnswers.containsKey(curval)) {
int shift = QUShift.get(curval) / thinkInterval;
for (int i = 0; i < shift; i++) {
predicted.add((int) curtime + i, (curval) / 10.0);
pred.customColor.put(curtime + i, Color.RED.getRGB());
pred.customColor.put(curtime + i + 1, Color.RED.getRGB());
}
curtime = curtime + shift;
curval = QUAnswers.get(curval);
if (curval == 0) {
break;
}
hh++;
if (hh > discretization * 2) {
break;
}
}
// if(!positionTruthExp.containsKey(time)) { //keep pred line up to date
// but don't overwrite predictions
predicted.add((int) time, val / 10.0);
if (true) {
chg.set(lastInput);
if (!pause) {
} else {
saved = lastInput;
}
// n.addInput(lastInput);
String S = "<(&/," + "<{" + val + "} --> value>,?I1) =/> ?what>";
if (!qus.contains(S)) {
// n.addInput(S);
AnswerHandler cur = new AnswerHandler() {
@Override
public void onSolution(Sentence belief) {
// System.out.println("solution: " + belief);
System.out.println(belief);
String rpart = belief.toString().split("=/>")[1];
Prediction(belief, rpart, -1, val);
}
};
try {
// if(truecnt%10 == 0) {
qus.add(S);
n.askNow(S, cur);
// }
} catch (Narsese.InvalidInputException ex) {
Logger.getLogger(Predict_NARS_Core.class.getName()).log(Level.SEVERE, null, ex);
}
}
}
if (h > 20) {
pause = false;
}
} while (pause);
k += steps;
}
}
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