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);
  }

}