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/*
* Copyright 2009 Keith Stevens
*
* This file is part of the S-Space package and is covered under the terms and
* conditions therein.
*
* The S-Space package is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License version 2 as published
* by the Free Software Foundation and distributed hereunder to you.
*
* THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES,
* EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE
* NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY
* PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION
* WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER
* RIGHTS.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see .
*/
package edu.ucla.sspace.common;
import edu.ucla.sspace.common.SemanticSpaceIO.SSpaceFormat;
import edu.ucla.sspace.matrix.ArrayMatrix;
import edu.ucla.sspace.matrix.Matrices;
import edu.ucla.sspace.matrix.Matrix;
import edu.ucla.sspace.matrix.SparseMatrix;
import edu.ucla.sspace.vector.CompactSparseVector;
import edu.ucla.sspace.vector.Vector;
import edu.ucla.sspace.vector.Vectors;
import edu.ucla.sspace.util.IntegerMap;
import java.io.BufferedInputStream;
import java.io.BufferedReader;
import java.io.DataInputStream;
import java.io.File;
import java.io.FileInputStream;
import java.io.FileReader;
import java.io.IOError;
import java.io.IOException;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.util.Arrays;
import java.util.Collections;
import java.util.LinkedHashMap;
import java.util.Map;
import java.util.Properties;
import java.util.Set;
import java.util.logging.Level;
import java.util.logging.Logger;
/**
* An unmodifiable {@link SemanticSpace} whose data is loaded into memory from
* an {@code .sspace} file. Instance of this class perform no document
* processing, and the {@code processDocument} and {@code processSpace} methods
* throw an {@link UnsupportedOperationException}.
*
* In general, users should call {@link
* edu.ucla.sspace.common.SemanticSpaceUtils#loadSemanticSpace(File)
* SemanticSpaceUtils.loadSemanticSpace(File)} rather than create an instance of
* this class directly.
*
* This class is thread-safe
*
* @see OnDiskSemanticSpace
* @see SemanticSpaceUtils
* @see SemanticSpaceUtils.SSpaceFormat
*/
public class StaticSemanticSpace implements SemanticSpace {
private static final Logger LOGGER =
Logger.getLogger(StaticSemanticSpace.class.getName());
/**
* The {@code Matrix} which contains the data read from a finished {@link
* SemanticSpace}.
*/
private Matrix wordSpace;
/**
* A mapping of terms to row indexes. Also serves as a quick means of
* retrieving the words known by this {@link SemanticSpace}.
*/
private Map termToIndex ;
/**
* The name of this semantic space.
*/
private String spaceName;
/**
* Creates the {@link StaticSemanticSpace} from the file.
*
* @param filename the name of a file containing {@code SemanticSpace} data.
*
* @throws IOException if any I/O exception occurs when reading the semantic
* space data from the file
*/
public StaticSemanticSpace(String filename) throws IOException {
this(new File(filename));
}
/**
* Creates the {@link StaticSemanticSpace} from the provided file.
*
* @param file a file containing the data of a {@link
* edu.ucla.sspace.common.SemanticSpace}.
*
* @throws IOException if any I/O exception occurs when reading the semantic
* space data from the file
*/
public StaticSemanticSpace(File file) throws IOException {
spaceName = file.getName();
SSpaceFormat format = SemanticSpaceIO.getFormat(file);
if (format == null)
throw new Error("Unrecognzied format in " +
"file: " + file.getName());
DataInputStream dis = new DataInputStream(
new BufferedInputStream(new FileInputStream(file)));
// Read off the four byte header from the stream so the loading methods
// do not see the data. This is necessary to support older formats that
// did not include the header.
dis.readInt();
loadFromFormat(dis, format);
}
/**
* Creates the {@link StaticSemanticSpace} from the provided file in the
* specified format. This method is only to be used in accessing {@code
* SemanticSpace} files that do not include the format in their file
* contents.
*
* @param file a file containing the data of a {@link
* edu.ucla.sspace.common.SemanticSpace}.
* @param format the format of the semantic space
*
* @throws IOException if any I/O exception occurs when reading the semantic
* space data from the file
*/
@Deprecated public StaticSemanticSpace(File file, SSpaceFormat format)
throws IOException {
loadFromFormat(new BufferedInputStream(
new FileInputStream(file)), format);
spaceName = file.getName();
}
/**
* Loads the semantic space data from the specified stream, using the format
* to determine how the data is layed out internally within the stream.
*
* @param is the input stream from which the semantic space will be read
* @param format the internal data formatting of the semantic space
*/
private void loadFromFormat(InputStream is, SSpaceFormat format)
throws IOException {
// NOTE: Use a LinkedHashMap here because this will ensure that the
// words are returned in the same row-order as the matrix. This
// generates better disk I/O behavior for accessing the matrix since
// each word is directly after the previous on disk.
termToIndex = new LinkedHashMap();
Matrix m = null;
long start = System.currentTimeMillis();
switch (format) {
case TEXT:
m = Matrices.synchronizedMatrix(loadText(is));
break;
case BINARY:
m = Matrices.synchronizedMatrix(loadBinary(is));
break;
// REMINDER: we don't use synchronized here because the current
// sparse matrix implementations are thread-safe. We really should
// be aware of this for when the file-based sparse matrix gets
// implemented. -jurgens 05/29/09
case SPARSE_TEXT:
m = loadSparseText(is);
break;
case SPARSE_BINARY:
m = loadSparseBinary(is);
break;
}
if (LOGGER.isLoggable(Level.FINE)) {
LOGGER.fine("loaded " + format + " .sspace file in " +
(System.currentTimeMillis() - start) + "ms");
}
wordSpace = m;
}
/**
* Loads the {@link SemanticSpace} from the text formatted file, adding its
* words to {@link #termToIndex} and returning the {@code Matrix} containing
* the space's vectors.
*
* @param sspaceFile a file in {@link SSpaceFormat#TEXT text} format
*/
private Matrix loadText(InputStream fileStream) throws IOException {
Matrix matrix = null;
BufferedReader br =
new BufferedReader(new InputStreamReader(fileStream));
String line = br.readLine();
if (line == null)
throw new IOException("Empty .sspace file");
// Strip off the 4-byte (2 char) header
String[] dimensions = line.split("\\s");
int rows = Integer.parseInt(dimensions[0]);
int columns = Integer.parseInt(dimensions[1]);
int index = 0;
// reusable array for writing rows into the matrix
double[] row = new double[columns];
matrix = new ArrayMatrix(rows, columns);
while ((line = br.readLine()) != null) {
if (index >= rows)
throw new IOException("More rows than specified");
String[] termVectorPair = line.split("\\|");
String[] values = termVectorPair[1].split("\\s");
termToIndex.put(termVectorPair[0], index);
if (values.length != columns) {
throw new IOException(
"improperly formated semantic space file");
}
for (int c = 0; c < columns; ++c) {
double d = Double.parseDouble(values[c]);
row[c] = d;
// matrix.set(index, c, d);
}
matrix.setRow(index, row);
index++;
}
if (index != rows)
throw new IOException(String.format(
"Expected %d rows; saw %d", rows, index));
return matrix;
}
/**
* Loads the {@link SemanticSpace} from the text formatted file, adding its
* words to {@link #termToIndex} and returning the {@code Matrix} containing
* the space's vectors.
*
* @param sspaceFile a file in {@link SSpaceFormat#TEXT text} format
*/
private Matrix loadSparseText(InputStream fileStream) throws IOException {
Matrix matrix = null;
BufferedReader br =
new BufferedReader(new InputStreamReader(fileStream));
String line = br.readLine();
if (line == null)
throw new IOError(new Throwable(
"An empty file has been passed in"));
String[] dimensions = line.split("\\s");
int rows = Integer.parseInt(dimensions[0]);
int columns = Integer.parseInt(dimensions[1]);
int row = 0;
// create a sparse matrix
matrix = Matrices.create(rows, columns, false);
while ((line = br.readLine()) != null) {
String[] termVectorPair = line.split("\\|");
String[] values = termVectorPair[1].split(",");
termToIndex.put(termVectorPair[0], row);
// even indicies are columns, odd are the values
for (int i = 0; i < values.length; i +=2 ) {
int col = Integer.parseInt(values[i]);
double val = Double.parseDouble(values[i+1]);
matrix.set(row, col, val);
}
row++;
}
return matrix;
}
/**
* Loads the {@link SemanticSpace} from the binary formatted file, adding
* its words to {@link #termToIndex} and returning the {@code Matrix}
* containing the space's vectors.
*
* @param sspaceFile a file in {@link SSpaceFormat#BINARY binary} format
*/
private Matrix loadBinary(InputStream fileStream) throws IOException {
DataInputStream dis = new DataInputStream(fileStream);
int rows = dis.readInt();
int cols = dis.readInt();
// create a dense matrix
Matrix m = new ArrayMatrix(rows, cols);
double[] d = new double[cols];
for (int row = 0; row < rows; ++row) {
String word = dis.readUTF();
termToIndex.put(word, row);
for (int col = 0; col < cols; ++col) {
d[col] = dis.readDouble();
}
m.setRow(row, d);
}
return m;
}
/**
* Loads the {@link SemanticSpace} from the binary formatted file, adding
* its words to {@link #termToIndex} and returning the {@code Matrix}
* containing the space's vectors.
*
* @param sspaceFile a file in {@link SSpaceFormat#BINARY binary} format
*/
private Matrix loadSparseBinary(InputStream fileStream) throws IOException {
DataInputStream dis = new DataInputStream(fileStream);
int rows = dis.readInt();
int cols = dis.readInt();
// Create the sparse matrix as individual rows since we can fully
// allocate the indices values at once, rather than pay the log(n)
// overhead of sorting them
CompactSparseVector[] rowVectors = new CompactSparseVector[rows];
for (int row = 0; row < rows; ++row) {
String word = dis.readUTF();
termToIndex.put(word, row);
int nonZero = dis.readInt();
int[] indices = new int[nonZero];
double[] values = new double[nonZero];
for (int i = 0; i < nonZero; ++i) {
int nz = dis.readInt();
double val = dis.readDouble();
indices[i] = nz;
values[i] = val;
}
rowVectors[row] = new CompactSparseVector(indices, values, cols);
}
return Matrices.asSparseMatrix(Arrays.asList(rowVectors));
}
/**
* {@inheritDoc}
*/
public Set getWords() {
return Collections.unmodifiableSet(termToIndex.keySet());
}
/**
* {@inheritDoc}
*/
public Vector getVector(String term) {
Integer index = termToIndex.get(term);
return (index == null)
? null
: wordSpace.getRowVector(index.intValue());
}
/**
* {@inheritDoc}
*/
public String getSpaceName() {
return spaceName;
}
/**
* {@inheritDoc}
*/
public int getVectorLength() {
return wordSpace.columns();
}
/**
* Not supported; throws an {@link UnsupportedOperationException} if called.
*
* @throws an {@link UnsupportedOperationException} if called
*/
public void processDocument(BufferedReader document) {
throw new UnsupportedOperationException(
"StaticSemanticSpace instances cannot be updated");
}
/**
* Not supported; throws an {@link UnsupportedOperationException} if called.
*
* @throws an {@link UnsupportedOperationException} if called
*/
public void processSpace(Properties props) {
throw new UnsupportedOperationException(
"StaticSemanticSpace instances cannot be updated");
}
}