How to use cascading.tuple.hadoop.io

public T deserialize( T tuple ) throws IOException
 {
 if( tuple == null )
  tuple = createTuple();
 if( readers == null )
  return inputStream.readUnTyped( tuple );
 else
  return inputStream.readWith( readers, tuple );
 }

private Short readNullShort() throws IOException
 {
 byte b = this.readByte();
 if( b == 0 )
  return null;
 return readShort();
 }

@Override
public void serialize( T tuple ) throws IOException
 {
 if( writers == null )
  outputStream.writeUnTyped( tuple );
 else
  outputStream.writeWith( writers, tuple );
 }

public void open( InputStream in )
 {
 if( in instanceof HadoopTupleInputStream )
  inputStream = (HadoopTupleInputStream) in;
 else
  inputStream = new HadoopTupleInputStream( in, elementReader );
 }

public void serialize( T tuple ) throws IOException
 {
 outputStream.writeIntInternal( tuple.getIndex() );
 Class[] types = getTypesFor( tuple.getIndex() );
 if( types == null )
  outputStream.writeUnTyped( tuple.getTuple() );
 else
  outputStream.writeTyped( types, tuple.getTuple() );
 }

public void open( OutputStream out )
 {
 if( out instanceof HadoopTupleOutputStream )
  outputStream = (HadoopTupleOutputStream) out;
 else
  outputStream = new HadoopTupleOutputStream( out, elementWriter );
 }

private Object readNullBoolean() throws IOException
 {
 byte b = this.readByte();
 if( b == 0 )
  return null;
 return readBoolean();
 }

private Object readNullDouble() throws IOException
 {
 byte b = this.readByte();
 if( b == 0 )
  return null;
 return readDouble();
 }

private Object readNullFloat() throws IOException
 {
 byte b = this.readByte();
 if( b == 0 )
  return null;
 return readFloat();
 }

public Tuple deserialize( Tuple tuple ) throws IOException
 {
 if( tuple == null )
  return inputStream.readTuple();
 return inputStream.readTuple( tuple );
 }

public void serialize( Tuple tuple ) throws IOException
 {
 outputStream.writeTuple( tuple );
 }
}

public void open( InputStream in )
 {
 if( in instanceof HadoopTupleInputStream )
  inputStream = (HadoopTupleInputStream) in;
 else
  inputStream = new HadoopTupleInputStream( in, elementReader );
 }

public T deserialize( T tuple ) throws IOException
 {
 if( tuple == null )
  tuple = createTuple();
 if( readers == null )
  return inputStream.readUnTyped( tuple );
 else
  return inputStream.readWith( readers, tuple );
 }

private Short readNullShort() throws IOException
 {
 byte b = this.readByte();
 if( b == 0 )
  return null;
 return readShort();
 }

@Override
public void serialize( T tuple ) throws IOException
 {
 if( writers == null )
  outputStream.writeUnTyped( tuple );
 else
  outputStream.writeWith( writers, tuple );
 }

private Object readNullBoolean() throws IOException
 {
 byte b = this.readByte();
 if( b == 0 )
  return null;
 return readBoolean();
 }

private Object readNullDouble() throws IOException
 {
 byte b = this.readByte();
 if( b == 0 )
  return null;
 return readDouble();
 }

private Object readNullFloat() throws IOException
 {
 byte b = this.readByte();
 if( b == 0 )
  return null;
 return readFloat();
 }

public Tuple deserialize( Tuple tuple ) throws IOException
 {
 if( tuple == null )
  return inputStream.readTuple();
 return inputStream.readTuple( tuple );
 }

public void serialize( Tuple tuple ) throws IOException
 {
 outputStream.writeTuple( tuple );
 }
}