📄 filemodel.java
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/*
* YALE - Yet Another Learning Environment
* Copyright (C) 2001-2004
* Simon Fischer, Ralf Klinkenberg, Ingo Mierswa,
* Katharina Morik, Oliver Ritthoff
* Artificial Intelligence Unit
* Computer Science Department
* University of Dortmund
* 44221 Dortmund, Germany
* email: yale-team@lists.sourceforge.net
* web: http://yale.cs.uni-dortmund.de/
*
* This program is free software; you can redistribute it and/or
* modify it under the terms of the GNU General Public License as
* published by the Free Software Foundation; either version 2 of the
* License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful, but
* WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307
* USA.
*/
package edu.udo.cs.yale.operator.learner;
import edu.udo.cs.yale.example.Attribute;
import edu.udo.cs.yale.tools.LogService;
import edu.udo.cs.yale.tools.TempFileService;
import edu.udo.cs.yale.tools.Tools;
import java.io.*;
/** FileModels are models that are generated by external algorithms and are not interpreted by Yale.
* Yale keeps the contents of the file in memory and provides a Reader or InputStream
* for the data.
*
* @author Ingo
* @version $Id: FileModel.java,v 2.10 2004/08/27 11:57:38 ingomierswa Exp $
*/
public abstract class FileModel extends IOModel {
/** The data contained in the file as literally generated by the learner. */
private byte[] data;
/** Creates an empty file model. */
public FileModel(Attribute label) {
super(label);
data = new byte[0];
}
/** This constructor is for the test case only! */
public FileModel(Attribute label, byte[] data) {
super(label);
this.data = data;
}
/** Constructs a new model reading the data from the given file. */
public FileModel(Attribute label, File modelFile) throws IOException {
super(label);
if (!modelFile.exists()) {
throw new FileNotFoundException("Model file does not exist: " + modelFile);
}
FileInputStream in = new FileInputStream(modelFile);
data = new byte[(int)modelFile.length()];
in.read(data);
in.close();
}
public void writeData(ObjectOutputStream out) throws IOException {
writeYaleData(out);
out.flush();
writeFileData(out);
out.flush();
}
public final void readData(ObjectInputStream in) throws IOException {
readYaleData(in);
readFileData(in);
}
/** Reads additional data written by {@link #readYaleData(ObjectInputStream)}. */
public abstract void writeYaleData(ObjectOutputStream out) throws IOException;
/** Writes additional data, e.g. training parameters used for applying. */
public abstract void readYaleData(ObjectInputStream in) throws IOException;
/** Reads the data from the stream. */
private void readFileData(ObjectInputStream in) throws IOException {
data = new byte[in.readInt()];
in.readFully(data);
LogService.logMessage("Model has "+data.length+" bytes.", LogService.MINIMUM);
}
/** Writes the file data to the stream. */
private void writeFileData(ObjectOutputStream out) throws IOException {
out.writeInt(data.length);
out.write(data);
out.flush();
}
/** Creates a temp file and writes the model to it as it was read when created by the learner. */
public File writeModelToTmp() throws IOException {
File file = TempFileService.createTempFile("model_");
OutputStream out = new FileOutputStream(file);
out.write(data);
out.close();
return file;
}
public InputStream getInputStream() {
return new ByteArrayInputStream(data);
}
public Reader getReader() {
return new InputStreamReader(getInputStream());
}
public boolean equals(Object o) {
if (!super.equals(o)) return false;
FileModel other = (FileModel)o;
if (this.data.length != other.data.length) return false;
for (int i = 0; i < this.data.length; i++) {
if (this.data[i] != other.data[i]) return false;
}
return true;
}
}
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