/* ====================================================================
 * The Apache Software License, Version 1.1
 *
 * Copyright (c) 2003 The Apache Software Foundation.  All rights
 * reserved.
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions
 * are met:
 *
 * 1. Redistributions of source code must retain the above copyright
 *    notice, this list of conditions and the following disclaimer.
 *
 * 2. Redistributions in binary form must reproduce the above copyright
 *    notice, this list of conditions and the following disclaimer in
 *    the documentation and/or other materials provided with the
 *    distribution.
 *
 * 3. The end-user documentation included with the redistribution, if
 *    any, must include the following acknowledgement:
 *       "This product includes software developed by the
 *        Apache Software Foundation (http://www.apache.org/)."
 *    Alternately, this acknowledgement may appear in the software itself,
 *    if and wherever such third-party acknowledgements normally appear.
 *
 * 4. The names "The Jakarta Project", "Commons", and "Apache Software
 *    Foundation" must not be used to endorse or promote products derived
 *    from this software without prior written permission. For written
 *    permission, please contact apache@apache.org.
 *
 * 5. Products derived from this software may not be called "Apache"
 *    nor may "Apache" appear in their name without prior written
 *    permission of the Apache Software Foundation.
 *
 * THIS SOFTWARE IS PROVIDED ``AS IS'' AND ANY EXPRESSED OR IMPLIED
 * WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
 * OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
 * DISCLAIMED.  IN NO EVENT SHALL THE APACHE SOFTWARE FOUNDATION OR
 * ITS CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
 * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
 * LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF
 * USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
 * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
 * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT
 * OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
 * SUCH DAMAGE.
 * ====================================================================
 *
 * This software consists of voluntary contributions made by many
 * individuals on behalf of the Apache Software Foundation.  For more
 * information on the Apache Software Foundation, please see
 * <http://www.apache.org/>.
 */
package org.apache.commons.math.random;

import junit.framework.Test;
import junit.framework.TestCase;
import junit.framework.TestSuite;
import java.io.File;
import java.net.URL;

import org.apache.commons.math.stat.DescriptiveStatistics;
import org.apache.commons.math.stat.StorelessDescriptiveStatisticsImpl;

/**
 * Test cases for the EmpiricalDistribution class
 *
 * @version $Revision: 1.8 $ $Date: 2004/01/11 07:26:51 $
 */

public final class EmpiricalDistributionTest extends TestCase {

    protected EmpiricalDistribution empiricalDistribution = null;
    protected File file = null;
    protected URL url = null; 
    
    public EmpiricalDistributionTest(String name) {
        super(name);
    }

    public void setUp() {
        empiricalDistribution = new EmpiricalDistributionImpl(100);
        url = getClass().getResource("testData.txt");
        file = new File(url.getFile());
    }

    public static Test suite() {
        TestSuite suite = new TestSuite(EmpiricalDistributionTest.class);
        suite.setName("EmpiricalDistribution Tests");
        return suite;
    }

    /**
     * Test EmpiricalDistrbution.load() using sample data file.<br> 
     * Check that the sampleCount, mu and sigma match data in 
     * the sample data file.
     */
    public void testLoad() throws Exception {
        empiricalDistribution.load(url);   
        // testData File has 10000 values, with mean ~ 5.0, std dev ~ 1
        // Make sure that loaded distribution matches this
        assertEquals(empiricalDistribution.getSampleStats().getN(),1000,10E-7);
        //TODO: replace with statistical tests
        assertEquals
            (empiricalDistribution.getSampleStats().getMean(),
                5.069831575018909,10E-7);
        assertEquals
          (empiricalDistribution.getSampleStats().getStandardDeviation(),
                1.0173699343977738,10E-7);
    }
    
    /** 
      * Generate 1000 random values and make sure they look OK.<br>
      * Note that there is a non-zero (but very small) probability that
      * these tests will fail even if the code is working as designed.
      */
    public void testNext() throws Exception {
        tstGen(0.1);
    }
    
    /**
      * Make sure exception thrown if digest getNext is attempted
      * before loading empiricalDistribution.
     */
    public void testNexFail() {
        try {
            empiricalDistribution.getNextValue();
            fail("Expecting IllegalStateException");
        } catch (IllegalStateException ex) {;}
    }
    
    /**
     * Make sure we can handle a grid size that is too fine
     */
    public void testGridTooFine() throws Exception {
        empiricalDistribution = new EmpiricalDistributionImpl(10000);
        tstGen(0.1);    
    }
    
    /**
     * How about too fat?
     */
    public void testGridTooFat() throws Exception {
        empiricalDistribution = new EmpiricalDistributionImpl(1);
        tstGen(5); // ridiculous tolerance; but ridiculous grid size
                   // really just checking to make sure we do not bomb
    }
    
    private void tstGen(double tolerance)throws Exception {
        empiricalDistribution.load(file);   
        DescriptiveStatistics stats = new StorelessDescriptiveStatisticsImpl();
        for (int i = 1; i < 1000; i++) {
            stats.addValue(empiricalDistribution.getNextValue());
        }
        //TODO: replace these with statistical tests -- refactor as necessary
        assertEquals("mean", stats.getMean(),5.069831575018909,tolerance);
        assertEquals
         ("std dev", stats.getStandardDeviation(),1.0173699343977738,tolerance);
    }
                    
}

@@ -2830,16 +2830,44 @@
 net.URL;
+%0Aimport java.net.URLDecoder;
 %0A%0Aimport
@@ -3074,17 +3074,17 @@
 sion: 1.
-8
+9
  $ $Date
@@ -3100,15 +3100,15 @@
 /11 
-07:26:5
+20:50:1
 1 $%0A
@@ -3551,37 +3551,92 @@
     
-file = new File(url.getFile()
+String fileName = URLDecoder.decode(url.getFile());%0A        file = new File(fileName
 );%0A 

Fix URL -> File conversion in the test.