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The S-Space Package is a collection of algorithms for building Semantic Spaces as well as a highly-scalable library for designing new distributional semantics algorithms. Distributional algorithms process text corpora and represent the semantic for words as high dimensional feature vectors. This package also includes matrices, vectors, and numerous clustering algorithms. These approaches are known by many names, such as word spaces, semantic spaces, or distributed semantics and rest upon the Distributional Hypothesis: words that appear in similar contexts have similar meanings.

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package edu.ucla.sspace.matrix;

import edu.ucla.sspace.vector.DenseVector;
import edu.ucla.sspace.vector.DoubleVector;


/**
 * @author Keith Stevens
 */
public class ScalarMatrix implements Matrix {

    private double scalar;

    private int rows;

    private int columns;

    public ScalarMatrix(int rows, int columns, double scalar) {
        this.rows = rows;
        this.columns = columns;
        this.scalar = scalar;
    }

    public double add(int row, int col, double delta) {
        throw new UnsupportedOperationException(
                "Cannot modify values in a ScalarMatrix");
    }

    public double get(int row, int col) {
        return scalar;
    }

    public double[] getColumn(int column) {
        double[] values = new double[rows];
        for (int r = 0; r < rows; ++r)
            values[r] = scalar;
        return values;
    }

    public DoubleVector getColumnVector(int column) {
        return new DenseVector(getColumn(column));
    }

    public double[] getRow(int row) {
        double[] values = new double[columns];
        for (int c = 0; c < columns; ++c)
            values[c] = scalar;
        return values;
    }

    public DoubleVector getRowVector(int row) {
        return new DenseVector(getRow(row));
    }

    public int columns() {
        return columns;
    }

    public int rows() {
        return rows;
    }

    public double[][] toDenseArray() {
        double[][] values = new double[rows][];
        for (int r = 0; r < rows; ++r) {
            values[r] = new double[columns];
            for (int c = 0; c < columns; ++c)
                values[r][c] = scalar;
        }
        return values;
    }

    public void set(int row, int col, double val) {
        throw new UnsupportedOperationException(
                "Cannot modify values in a ScalarMatrix");
    }

    public void setColumn(int col, double[] values) {
        throw new UnsupportedOperationException(
                "Cannot modify values in a ScalarMatrix");
    }

    public void setColumn(int col, DoubleVector values) {
        throw new UnsupportedOperationException(
                "Cannot modify values in a ScalarMatrix");
    }

    public void setRow(int row, double[] values) {
        throw new UnsupportedOperationException(
                "Cannot modify values in a ScalarMatrix");
    }

    public void setRow(int row, DoubleVector values) {
        throw new UnsupportedOperationException(
                "Cannot modify values in a ScalarMatrix");
    }
}