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package de.lmu.ifi.dbs.elki.visualization;
/*
This file is part of ELKI:
Environment for Developing KDD-Applications Supported by Index-Structures
Copyright (C) 2011
Ludwig-Maximilians-Universität München
Lehr- und Forschungseinheit für Datenbanksysteme
ELKI Development Team
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published by
the Free Software Foundation, either version 3 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 Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
import static org.junit.Assert.assertEquals;
import org.junit.Test;
import de.lmu.ifi.dbs.elki.JUnit4Test;
import de.lmu.ifi.dbs.elki.visualization.scales.LinearScale;
/**
* Test class to test rounding of the linear scale.
*
* @author Erich Schubert
*
*/
public class TestLinearScale implements JUnit4Test {
/**
* Produces a simple linear scale and verifies the tick lines are placed as
* expected.
*/
@Test
public final void testLinearScale() {
LinearScale a = new LinearScale(3, 97);
assertEquals("Minimum for scale 3-97 not as expected.", 0.0, a.getMin(), Double.MIN_VALUE);
assertEquals("Maximum for scale 3-97 not as expected.", 100.0, a.getMax(), Double.MIN_VALUE);
LinearScale b = new LinearScale(-97, -3);
assertEquals("Minimum for scale -97 : -3 not as expected.", -100.0, b.getMin(), Double.MIN_VALUE);
assertEquals("Maximum for scale -97 : -3 not as expected.", 0.0, b.getMax(), Double.MIN_VALUE);
LinearScale c = new LinearScale(-3, 37);
assertEquals("Minimum for scale -3 : 37 not as expected.", -10.0, c.getMin(), Double.MIN_VALUE);
assertEquals("Maximum for scale -3 : 37 not as expected.", 40.0, c.getMax(), Double.MIN_VALUE);
LinearScale d = new LinearScale(-37, 3);
assertEquals("Minimum for scale -37 : 3 not as expected.", -40.0, d.getMin(), Double.MIN_VALUE);
assertEquals("Maximum for scale -37 : 3 not as expected.", 10.0, d.getMax(), Double.MIN_VALUE);
}
}
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