/*
* This file is part of ADDIS (Aggregate Data Drug Information System).
* ADDIS is distributed from http://drugis.org/.
* Copyright © 2009 Gert van Valkenhoef, Tommi Tervonen.
* Copyright © 2010 Gert van Valkenhoef, Tommi Tervonen, Tijs Zwinkels,
* Maarten Jacobs, Hanno Koeslag, Florin Schimbinschi, Ahmad Kamal, Daniel
* Reid.
* Copyright © 2011 Gert van Valkenhoef, Ahmad Kamal, Daniel Reid, Florin
* Schimbinschi.
* Copyright © 2012 Gert van Valkenhoef, Daniel Reid, Joël Kuiper, Wouter
* Reckman.
* Copyright © 2013 Gert van Valkenhoef, Joël Kuiper.
*
* 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 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 General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
package org.drugis.addis.plot;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertTrue;
import org.drugis.addis.forestplot.BinnedScale;
import org.drugis.addis.forestplot.IdentityScale;
import org.drugis.addis.forestplot.LinearScale;
import org.drugis.addis.forestplot.LogScale;
import org.drugis.addis.forestplot.BinnedScale.Bin;
import org.drugis.common.Interval;
import org.junit.Test;
public class ScaleTest {
@Test
public void testIdentityThrows() {
IdentityScale id = new IdentityScale();
assertEquals(1.1D, id.getNormalized(1.1), 0.0001);
}
@Test
public void testLinearScale() {
LinearScale ls = new LinearScale(new Interval<Double>(10.0,20.0));
assertEquals(0.5, ls.getNormalized(15.0), 0.0001);
}
@Test
public void testLogScale() {
LogScale los = new LogScale(new Interval<Double>(0.1,10.0));
assertEquals(0.5, los.getNormalized(Math.exp( (Math.log(10.0) - Math.log(0.1)) / 2 + Math.log(0.1) )), 0.0001);
}
@Test
public void testLogScale10base() {
LogScale los = new LogScale(new Interval<Double>(0.1,1000.0));
assertEquals(0.75, los.getNormalizedLog10(100), 0.0001);
}
@Test
public void testBinnedScale() {
BinnedScale bs = new BinnedScale(new IdentityScale(), 1, 201);
Bin b = bs.getBin(0.75);
assertTrue(!b.outOfBoundsMax);
assertTrue(!b.outOfBoundsMin);
assertEquals((int) 151, (int) b.bin);
}
@Test
public void testBinnedScaleOutofBounds() {
BinnedScale bs = new BinnedScale(new IdentityScale(), 1, 201);
assertTrue(bs.getBin(1.1).outOfBoundsMax);
assertTrue(bs.getBin(-0.1).outOfBoundsMin);
assertEquals(1,(int) bs.getBin(-0.1).bin);
assertEquals(201,(int) bs.getBin(1.1).bin);
}
}