package OSU.PEQ.AVC.SUQ.test;
import java.io.IOException;
import java.util.Iterator;
import java.util.Map;

import AEU.AVC.SUQ.engine.EnvironmentInit;
import AEU.OCI.AVC.SUQ.estimation.C.EmotionSample;
import SVQ.stable.StableString;
//作者,著作权人： 罗瑶光，浏阳
public class EnvironmentTest{
  public static void main(String[] argv) throws IOException {
    //init
    EnvironmentInit environmentInit = new EnvironmentInit();
    environmentInit.IV_(StableString.text1);
    Map<String, EmotionSample> environmentSampleMap 
    = environmentInit.getEmotionSampleMap();
    //reduce
    System.out.println("环    境：");
    Iterator<String> Iterator = environmentSampleMap.keySet().iterator();
    while(Iterator.hasNext()) {
      String word = Iterator.next();
      EmotionSample emotionSample = environmentSampleMap.get(word);
      if(null != emotionSample.getDistinction()) {
        System.out.print(emotionSample.getDistinction()+" ");
      }
    }
    System.out.println("");
    System.out.println("动    机：");
    Iterator = environmentSampleMap.keySet().iterator();
    while(Iterator.hasNext()) {
      String word = Iterator.next();
      EmotionSample emotionSample = environmentSampleMap.get(word);
      if(null != emotionSample.getMotivation()) {
        System.out.print(emotionSample.getMotivation()+" ");
      }
    }
    System.out.println("");
    System.out.println("倾    向：" );
    Iterator = environmentSampleMap.keySet().iterator();
    while(Iterator.hasNext()) {
      String word = Iterator.next();
      EmotionSample emotionSample = environmentSampleMap.get(word);
      if(null != emotionSample.getTrending()) {
        System.out.print(emotionSample.getTrending()+" ");
      }
    }
    //reduce
    System.out.println("");
    System.out.println("决    策：");
    Iterator = environmentSampleMap.keySet().iterator();
    while(Iterator.hasNext()) {
      String word = Iterator.next();
      EmotionSample emotionSample = environmentSampleMap.get(word);
      if(null != emotionSample.getPrediction()) {
        System.out.print(emotionSample.getPrediction()+" ");
      }
    }  
  }
}