jfreechart1.0.1 jsp绘制图表的开发包

源代码在线查看: meanandstandarddeviationtests.java

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关键词: jfreechart jsp 绘制 图表
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				/* ===========================================================
				 * JFreeChart : a free chart library for the Java(tm) platform
				 * ===========================================================
				 *
				 * (C) Copyright 2000-2005, by Object Refinery Limited and Contributors.
				 *
				 * Project Info:  http://www.jfree.org/jfreechart/index.html
				 *
				 * This library 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 library 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 Lesser General Public 
				 * License for more details.
				 *
				 * You should have received a copy of the GNU Lesser General Public
				 * License along with this library; if not, write to the Free Software
				 * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301, 
				 * USA.  
				 *
				 * [Java is a trademark or registered trademark of Sun Microsystems, Inc. 
				 * in the United States and other countries.]
				 *
				 * ----------------------------------
				 * MeanAndStandardDeviationTests.java
				 * ----------------------------------
				 * (C) Copyright 2005, by Object Refinery Limited and Contributors.
				 *
				 * Original Author:  David Gilbert (for Object Refinery Limited);
				 * Contributor(s):   -;
				 *
				 * $Id: MeanAndStandardDeviationTests.java,v 1.1.2.1 2005/10/25 21:34:59 mungady Exp $
				 *
				 * Changes
				 * -------
				 * 05-Feb-2005 : Version 1 (DG);
				 *
				 */
				
				package org.jfree.data.statistics.junit;
				
				import java.io.ByteArrayInputStream;
				import java.io.ByteArrayOutputStream;
				import java.io.ObjectInput;
				import java.io.ObjectInputStream;
				import java.io.ObjectOutput;
				import java.io.ObjectOutputStream;
				
				import junit.framework.Test;
				import junit.framework.TestCase;
				import junit.framework.TestSuite;
				
				import org.jfree.data.statistics.MeanAndStandardDeviation;
				
				/**
				 * Tests for the {@link MeanAndStandardDeviation} class.
				 */
				public class MeanAndStandardDeviationTests extends TestCase {
				
				    /**
				     * Returns the tests as a test suite.
				     *
				     * @return The test suite.
				     */
				    public static Test suite() {
				        return new TestSuite(MeanAndStandardDeviationTests.class);
				    }
				
				    /**
				     * Constructs a new set of tests.
				     *
				     * @param name  the name of the tests.
				     */
				    public MeanAndStandardDeviationTests(String name) {
				        super(name);
				    }
				
				    /**
				     * Confirm that the equals method can distinguish all the required fields.
				     */
				    public void testEquals() {
				        MeanAndStandardDeviation m1 = new MeanAndStandardDeviation(1.2, 3.4);
				        MeanAndStandardDeviation m2 = new MeanAndStandardDeviation(1.2, 3.4);
				        assertTrue(m1.equals(m2));
				        assertTrue(m2.equals(m1));
				
				        m1 = new MeanAndStandardDeviation(1.0, 3.4);
				        assertFalse(m1.equals(m2));
				        m2 = new MeanAndStandardDeviation(1.0, 3.4);
				        assertTrue(m1.equals(m2));
				
				        m1 = new MeanAndStandardDeviation(1.0, 3.0);
				        assertFalse(m1.equals(m2));
				        m2 = new MeanAndStandardDeviation(1.0, 3.0);
				        assertTrue(m1.equals(m2));
				    }
				
				    /**
				     * Immutable class - should not be cloneable.
				     */
				    public void testCloning() {
				        MeanAndStandardDeviation m1 = new MeanAndStandardDeviation(1.2, 3.4);
				        assertFalse(m1 instanceof Cloneable);
				    }
				
				    /**
				     * Serialize an instance, restore it, and check for equality.
				     */
				    public void testSerialization() {
				        MeanAndStandardDeviation m1 = new MeanAndStandardDeviation(1.2, 3.4);
				        MeanAndStandardDeviation m2 = null;
				
				        try {
				            ByteArrayOutputStream buffer = new ByteArrayOutputStream();
				            ObjectOutput out = new ObjectOutputStream(buffer);
				            out.writeObject(m1);
				            out.close();
				
				            ObjectInput in = new ObjectInputStream(
				                new ByteArrayInputStream(buffer.toByteArray())
				            );
				            m2 = (MeanAndStandardDeviation) in.readObject();
				            in.close();
				        }
				        catch (Exception e) {
				            System.out.println(e.toString());
				        }
				        assertEquals(m1, m2);
				
				    }
				}
							

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