Package org.grouplens.lenskit.data.history

Source Code of org.grouplens.lenskit.data.history.UserVectorTest

/*
* LensKit, an open source recommender systems toolkit.
* Copyright 2010-2014 LensKit Contributors.  See CONTRIBUTORS.md.
* Work on LensKit has been funded by the National Science Foundation under
* grants IIS 05-34939, 08-08692, 08-12148, and 10-17697.
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as
* published by the Free Software Foundation; either version 2.1 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., 51
* Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*/
package org.grouplens.lenskit.data.history;

import com.google.common.collect.Lists;
import org.grouplens.lenskit.data.event.Rating;
import org.grouplens.lenskit.data.event.Ratings;
import org.grouplens.lenskit.vectors.MutableSparseVector;
import org.grouplens.lenskit.vectors.SparseVector;
import org.junit.Test;

import java.util.Collection;

import static org.junit.Assert.assertEquals;

/**
* @author <a href="http://www.grouplens.org">GroupLens Research</a>
*/
public class UserVectorTest {
    private final static double EPSILON = 1.0e-6;

    /**
     * Test method for {@link org.grouplens.lenskit.data.event.Ratings#userRatingVector(java.util.Collection)}.
     */
    @Test
    public void testUserRatingVector() {
        Collection<Rating> ratings = Lists.newArrayList(
                Ratings.make(5, 7, 3.5),
                Ratings.make(5, 3, 1.5),
                Ratings.make(5, 8, 2)
        );
        SparseVector v = Ratings.userRatingVector(ratings);
        assertEquals(3, v.size());
        assertEquals(7, v.sum(), EPSILON);

        long[] keys = {3, 7, 8};
        double[] values = {1.5, 3.5, 2};
        SparseVector sv = MutableSparseVector.wrap(keys, values);
        assertEquals(sv, v);
    }

}
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