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📄 randomnumberstooltest.java

📁 化学图形处理软件
💻 JAVA
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/* $Revision: 7691 $ $Author: egonw $ $Date: 2007-01-11 12:47:48 +0100 (Thu, 11 Jan 2007) $ *  * Copyright (C) 2007  Egon Willighagen <egonw@users.sf.net> *  * Contact: cdk-devel@lists.sourceforge.net *  * This program 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 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 Lesser General Public License for more details. *  * You should have received a copy of the GNU Lesser General Public License * along with this program; if not, write to the Free Software * Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.  */package org.openscience.cdk.test.math;import junit.framework.Test;import junit.framework.TestSuite;import org.openscience.cdk.math.RandomNumbersTool;import org.openscience.cdk.test.CDKTestCase;/** * @cdk.module test-standard */public class RandomNumbersToolTest extends CDKTestCase {    public RandomNumbersToolTest(String name) {        super(name);    }    public static Test suite() {        return new TestSuite(RandomNumbersToolTest.class);    }    public void testGetRandomSeed() {        testSetRandomSeed_long();    }    public void testSetRandomSeed_long() {        long seed = System.currentTimeMillis();        RandomNumbersTool.setRandomSeed(seed);        assertEquals(seed, RandomNumbersTool.getRandomSeed());    }    public void testRandomInt() {        int random = RandomNumbersTool.randomInt();        assertTrue(random == 0 || random == 1);    }    public void testRandomBoolean() {        boolean random = RandomNumbersTool.randomBoolean();        assertTrue(random == true || random == false);    }    public void testRandomLong() {        long random = RandomNumbersTool.randomLong();        assertTrue(random >= 0l);        assertTrue(random <= 1l);    }    public void testRandomLong_long_long() {        long lower_limit = 2l;        long upper_limit = 4l;        long random = RandomNumbersTool.randomLong(lower_limit, upper_limit);        assertTrue(random >= lower_limit);        assertTrue(random <= upper_limit);    }    public void testRandomDouble() {        double random = RandomNumbersTool.randomDouble();        assertTrue(random >= 0.0);        assertTrue(random <= 1.0);    }    public void testRandomDouble_double_double() {        double lower_limit = 2.0;        double upper_limit = 4.0;        double random = RandomNumbersTool.randomDouble(lower_limit, upper_limit);        assertTrue(random >= lower_limit);        assertTrue(random <= upper_limit);    }    public void testRandomFloat() {        float random = RandomNumbersTool.randomFloat();        assertTrue(random >= 0.0);        assertTrue(random <= 1.0);    }    public void testRandomFloat_float_float() {        float lower_limit = (float) 2.0;        float upper_limit = (float) 4.0;        float random = RandomNumbersTool.randomFloat(lower_limit, upper_limit);        assertTrue(random >= lower_limit);        assertTrue(random <= upper_limit);    }    public void testRandomBit() {        int random = RandomNumbersTool.randomBit();        assertTrue(random == 0 || random == 1);    }    public void testRandomInt_int_int() {        int random = RandomNumbersTool.randomInt(0, 5);        assertTrue(random == 0 || random == 1 || random == 2 ||                random == 3 || random == 4 || random == 5);    }    public void testFlipCoin() {        int ntry = 1000000;        double p = 0.5;        int ntrue = 0;        int nfalse = 0;        for (int i = 0; i < ntry; i++) {            if (RandomNumbersTool.flipCoin(p)) ntrue += 1;            else nfalse += 1;        }        assertEquals(0.5, (double) ntrue / ntry, 0.001);        assertEquals(0.5, (double) nfalse / ntry, 0.001);    }    public void testGaussianFloat() {        float dev = (float) 1.0;        float epsilon = 0.01f;        int ntry = 10000000;        float[] values = new float[ntry];        for (int i = 0; i < ntry; i++) values[i] = RandomNumbersTool.gaussianFloat(dev);        // no get the sd of the values        float mean = 0.0f;        for (int i = 0; i < ntry; i++) mean += values[i];        mean = mean / ntry;        float sd = 0.0f;        for (int i = 0; i < ntry; i++) sd += (values[i] - mean) * (values[i] - mean);        sd = (float) Math.sqrt(sd / (ntry - 1));        assertTrue("Estimated SD does not match to 2 decimal places",                sd >= (dev - epsilon) && sd <= (dev + epsilon));    }    public void testGaussianDouble() {        double dev = 2.0;        double epsilon = 0.01;        int ntry = 10000000;        double[] values = new double[ntry];        for (int i = 0; i < ntry; i++) values[i] = RandomNumbersTool.gaussianDouble(dev);        // no get the sd of the values        double mean = 0.0f;        for (int i = 0; i < ntry; i++) mean += values[i];        mean = mean / ntry;        double sd = 0.0f;        for (int i = 0; i < ntry; i++) sd += (values[i] - mean) * (values[i] - mean);        sd = Math.sqrt(sd / (ntry - 1));        assertTrue("Estimated SD does not match to 2 decimal places",                sd >= (dev - epsilon) && sd <= (dev + epsilon));    }    public void testExponentialFloat() {        float mean = 1.0f;        float epsilon = 0.01f;        int ntry = 10000000;        float[] values = new float[ntry];        for (int i = 0; i < ntry; i++) values[i] = RandomNumbersTool.exponentialFloat(mean);        // no get the sd of the values        float m = 0.0f;        for (int i = 0; i < ntry; i++) m += values[i];        m = m / ntry;        assertTrue("Estimated mean does not match to 2 decimal places",                m >= (mean - epsilon) && m <= (mean + epsilon));    }    public void testExponentialDouble() {        double mean = 1.0f;        double epsilon = 0.01f;        int ntry = 10000000;        double[] values = new double[ntry];        for (int i = 0; i < ntry; i++) values[i] = RandomNumbersTool.exponentialDouble(mean);        // no get the sd of the values        double m = 0.0f;        for (int i = 0; i < ntry; i++) m += values[i];        m = m / ntry;        assertTrue("Estimated mean does not match to 2 decimal places",                m >= (mean - epsilon) && m <= (mean + epsilon));    }}

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