Package java.io

Examples of java.io.DataInputStream.readDouble()

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        new FileInputStream(args[0])));

    double d;
    try {
      while (true)
        out.println(in.readDouble());
    } catch (Exception E) {
    }
    out.close();
    in.close();
  }
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        new FileInputStream(args[0])));

    double d;
    try {
      while (true)
        out.println(in.readDouble());
    } catch (Exception E) {
    }
    out.close();
    in.close();
  }
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    }

    DataInputStream reverseDis =
        new DataInputStream(new ByteArrayInputStream(tx));

    Double result = reverseDis.readDouble();
    if(this.debug) {
      System.out.println(result);
    }
    return result;
  }
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          long date = in.readLong();
          if (date > -1)
            value = new Date(date);
          break;
        case DOUBLE:
          value = in.readDouble();
          break;
        case EMBEDDED:
          length = in.readInt();
          if (length >= 0) {
            // != NULL
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          long date = in.readLong();
          if (date > -1)
            value = new Date(date);
          break;
        case DOUBLE:
          value = in.readDouble();
          break;
        case EMBEDDED:
          length = in.readInt();
          if (length >= 0) {
            // != NULL
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  public double getDouble()
  {
    DataInputStream data = new DataInputStream(new ByteArrayInputStream(getByteArray(bytePos,8)));
    double res = 0.0;
    try{
      res = data.readDouble();
    }catch(Exception e){
    }
    return res;
  }
 
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            int size=dis.readInt();
            value=new double[size];
           
            for (int i=0;i<value.length;i++)
            {
                value[i]=dis.readDouble();
            }
        }
        catch(Exception ex)
        {
            System.err.println("Fehler in VS1DDouble.loadFromStream() : "+ex.toString());
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    //System.out.println("Loading kMeans Results "+fileName);
    for (i = 0; i < numCluster; i++) {
      curNumCluster = dis.readInt();
      curInfo[i] = new ClusteringInfosKMean(curNumCluster - 1, numvars);
      curInfo[i].omsr = dis.readDouble();
      curInfo[i].ratio = dis.readDouble();
      for (k = 0; k < curNumCluster; k++) {
        curInfo[i].infoCluster[k] = new ClusterInfoKMean(numvars);
        curInfo[i].infoCluster[k].numOss = dis.readInt();
        for (j = 0; j < numvars; j++) {
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    //System.out.println("Loading kMeans Results "+fileName);
    for (i = 0; i < numCluster; i++) {
      curNumCluster = dis.readInt();
      curInfo[i] = new ClusteringInfosKMean(curNumCluster - 1, numvars);
      curInfo[i].omsr = dis.readDouble();
      curInfo[i].ratio = dis.readDouble();
      for (k = 0; k < curNumCluster; k++) {
        curInfo[i].infoCluster[k] = new ClusterInfoKMean(numvars);
        curInfo[i].infoCluster[k].numOss = dis.readInt();
        for (j = 0; j < numvars; j++) {
          curInfo[i].infoCluster[k].percVar[j] = dis.readDouble();
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      curInfo[i].ratio = dis.readDouble();
      for (k = 0; k < curNumCluster; k++) {
        curInfo[i].infoCluster[k] = new ClusterInfoKMean(numvars);
        curInfo[i].infoCluster[k].numOss = dis.readInt();
        for (j = 0; j < numvars; j++) {
          curInfo[i].infoCluster[k].percVar[j] = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].iNotZr = dis.readInt();
          curInfo[i].infoCluster[k].statClust[j].dMedia = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dStdEr = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dStdDv = dis.readDouble();
          curInfo[i].infoCluster[k].statClust[j].dVarnz = dis.readDouble();
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