source: anac2020/BlingBling/src/main/java/geniusweb/blingbling/Ranknet/Test.java

package geniusweb.blingbling.Ranknet;

import java.util.ArrayList;
import java.util.Arrays;
import java.util.HashMap;
import java.util.List;

import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;

import geniusweb.blingbling.Ranknet.NeuralRankNet;
import geniusweb.issuevalue.Bid;
import geniusweb.issuevalue.Value;

public class Test {
        List<HashMap<String, String>> result = new ArrayList<HashMap<String, String>>();

        public void main(String[] args) {
                
//              List<HashMap<String, String>> result = getmap();
                System.out.println(result.get(0).size());
                
                
                // TODO Auto-generated method stub
//              double LearningRate =0.0005;
//              int inputcount = 10;
//              int Hiddencount =20;
//              NeuralRankNet ann = NeuralRankNet.Builder().setLearningRate(LearningRate)
//                              .addLayer(Layer.Builder().setInCount(inputcount).setOutCount(Hiddencount).setActivationFunction(IdentityActivationFunction.INSTANCE).build())
//                              .addLayer(Layer.Builder().setInCount(Hiddencount).setOutCount(Hiddencount).setActivationFunction(IdentityActivationFunction.INSTANCE).build())
//                              .addLayer(Layer.Builder().setInCount(Hiddencount).setOutCount(1).setActivationFunction(SigmoidActivationFunction.INSTANCE).build())
//                              .build();
////            Nd4j.create(new double[6](1.0, 0.0, 2.0, 1.0,0.0,1.0));
//              List<INDArray> bidlist = new ArrayList<INDArray>();
//              for (int i =0; i< 10; i++) {
//                      bidlist.add(Nd4j.rand(1, 10));
//              }
//              for (INDArray bid: bidlist) {
//                      System.out.println(ann.getActivationZPair(bid).snd);
//              }
//
//              
//              for (int epoch = 0; epoch< 1000; epoch++) {
//                      
//                      for (int i =0; i< 10; i++) {
//                              INDArray bid1 = bidlist.get(i);
//                              for (int j =i+1; j<10; j++) {
//                                      INDArray bid2 = bidlist.get(j);
//                                      ann.train(bid1, bid2, Nd4j.scalar(1));
//                              }
//                      }
//
//              }
//              for (INDArray bid: bidlist) {
//                      System.out.println(ann.feedForward(bid));
//              }
//
//              System.out.println(Nd4j.rand(1, 10));

        }
        public List<HashMap<String, String>> getmap(){
                HashMap<String, List<String>> infomap = new HashMap<String, List<String>>();
                HashMap<String, String> bidmap = new HashMap<String, String>();
                
                infomap.put("a", new ArrayList<String>(Arrays.asList("alex", "brian", "charles")));
                infomap.put("b", new ArrayList<String>(Arrays.asList("ax", "ban", "cha")));
                infomap.put("c", new ArrayList<String>(Arrays.asList("apple","app","ape")));
                bidDFS(new ArrayList<String>(Arrays.asList("a", "b", "c")), bidmap, infomap, result);
                return result;
        }
        
        private void bidDFS(List<String> issues, HashMap<String, String> bidmap, HashMap<String, List<String>> infomap, List<HashMap<String, String>> bidresultlist) {
                if (bidmap.keySet().size() == issues.size()) {
                        System.out.println(bidmap);
                        bidresultlist.add(bidmap);
                        return;
                }
                
                for (String value: infomap.get(issues.get(bidmap.size()))) {
//                      System.out.println(value);
                        bidmap.put(issues.get(bidmap.size()), value);
                        bidDFS(issues, bidmap, infomap, bidresultlist);
                        bidmap.remove(issues.get(bidmap.size()-1));
                }
        }


}