Improved performance of nextInt(int) in BitsStreamGenerator. JIRA: MATH-642
git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1154815 13f79535-47bb-0310-9956-ffa450edef68
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@ -119,28 +119,35 @@ public abstract class BitsStreamGenerator implements RandomGenerator {
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return next(32);
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}
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/** {@inheritDoc} */
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/**
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* {@inheritDoc}
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* <p>This default implementation is copied from Apache Harmony
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* java.util.Random (r929253).</p>
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*
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* <p>Implementation notes: <ul>
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* <li>If n is a power of 2, this method returns
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* {@code (int) ((n * (long) next(31)) >> 31)}.</li>
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*
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* <li>If n is not a power of 2, what is returned is {@code next(31) % n}
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* with {@code next(31)} values rejected (i.e. regenerated) until a
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* value that is larger than the remainder of {@code Integer.MAX_VALUE / n}
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* is generated. Rejection of this initial segment is necessary to ensure
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* a uniform distribution.</li></ul></p>
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*/
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public int nextInt(int n) throws IllegalArgumentException {
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if (n < 1) {
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throw new NotStrictlyPositiveException(n);
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}
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// find bit mask for n
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int mask = n;
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mask |= mask >> 1;
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mask |= mask >> 2;
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mask |= mask >> 4;
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mask |= mask >> 8;
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mask |= mask >> 16;
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while (true) {
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final int random = next(32) & mask;
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if (random < n) {
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return random;
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if (n > 0) {
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if ((n & -n) == n) {
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return (int) ((n * (long) next(31)) >> 31);
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}
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int bits;
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int val;
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do {
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bits = next(31);
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val = bits % n;
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} while (bits - val + (n - 1) < 0);
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return val;
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}
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throw new NotStrictlyPositiveException(n);
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}
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/** {@inheritDoc} */
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@ -52,6 +52,9 @@ The <action> type attribute can be add,update,fix,remove.
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If the output is not quite correct, check for invisible trailing spaces!
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-->
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<release version="3.0" date="TBD" description="TBD">
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<action dev="psteitz" type="update" issue="MATH-642">
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Improved performance of nextInt(int) in BitsStreamGenerator.
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</action>
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<action dev="luc" type="fix" issue="MATH-639" >
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Fixed a wrong detection of rotation axis versus vectors plane in Rotation constructor
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using two vectors pairs.
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@ -16,6 +16,8 @@
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*/
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package org.apache.commons.math.random;
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import java.util.Arrays;
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import org.apache.commons.math.TestUtils;
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import org.apache.commons.math.stat.Frequency;
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import org.apache.commons.math.stat.descriptive.SummaryStatistics;
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@ -77,30 +79,87 @@ public abstract class RandomGeneratorAbstractTest extends RandomDataTest {
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public void testNextSecureHex() {}
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@Test
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public void testNextIntDirect() {
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/**
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* Tests uniformity of nextInt(int) distribution by generating 1000
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* samples for each of 10 test values and for each sample performing
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* a chi-square test of homogeneity of the observed distribution with
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* the expected uniform distribution. Tests are performed at the .01
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* level and an average failure rate higher than 2% (i.e. more than 20
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* null hypothesis rejections) causes the test case to fail.
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*
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* All random values are generated using the generator instance used by
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* other tests and the generator is not reseeded, so this is a fixed seed
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* test.
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*/
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public void testNextIntDirect() throws Exception {
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// Set up test values - end of the array filled randomly
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int[] testValues = new int[] {4, 10, 12, 32, 100, 10000, 0, 0, 0, 0};
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for (int i = 6; i < 10; i++) {
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final int val = generator.nextInt();
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testValues[i] = val < 0 ? -val : val + 1;
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}
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final int numTests = 1000;
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for (int i = 0; i < testValues.length; i++) {
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final int n = testValues[i];
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// Set up bins
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int[] binUpperBounds;
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if (n < 32) {
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binUpperBounds = new int[n];
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for (int k = 0; k < n; k++) {
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binUpperBounds[k] = k;
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}
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} else {
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binUpperBounds = new int[10];
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final int step = n / 10;
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for (int k = 0; k < 9; k++) {
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binUpperBounds[k] = (k + 1) * step;
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}
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binUpperBounds[9] = n - 1;
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}
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// Run the tests
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int numFailures = 0;
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final int binCount = binUpperBounds.length;
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final long[] observed = new long[binCount];
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final double[] expected = new double[binCount];
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expected[0] = binUpperBounds[0] == 0 ? (double) smallSampleSize / (double) n :
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(double) ((binUpperBounds[0] + 1) * smallSampleSize) / (double) n;
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for (int k = 1; k < binCount; k++) {
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expected[k] = (double) smallSampleSize *
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(double) (binUpperBounds[k] - binUpperBounds[k - 1]) / (double) n;
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}
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for (int j = 0; j < numTests; j++) {
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Arrays.fill(observed, 0);
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for (int k = 0; k < smallSampleSize; k++) {
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final int value = generator.nextInt(n);
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Assert.assertTrue("nextInt range",(value >= 0) && (value < n));
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for (int l = 0; l < binCount; l++) {
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if (binUpperBounds[l] >= value) {
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observed[l]++;
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break;
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}
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}
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}
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if (testStatistic.chiSquareTest(expected, observed) < 0.01) {
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numFailures++;
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}
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}
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if ((double) numFailures / (double) numTests > 0.02) {
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Assert.fail("Too many failures for n = " + n +
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" " + numFailures + " out of " + numTests + " tests failed.");
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}
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}
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}
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@Test(expected=MathIllegalArgumentException.class)
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public void testNextIntIAE() {
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try {
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generator.nextInt(-1);
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Assert.fail("MathIllegalArgumentException expected");
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} catch (MathIllegalArgumentException ex) {
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// ignored
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}
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Frequency freq = new Frequency();
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int value = 0;
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for (int i=0; i<smallSampleSize; i++) {
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value = generator.nextInt(4);
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Assert.assertTrue("nextInt range",(value >= 0) && (value <= 3));
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freq.addValue(value);
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}
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long[] observed = new long[4];
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for (int i=0; i<4; i++) {
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observed[i] = freq.getCount(i);
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}
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/* Use ChiSquare dist with df = 4-1 = 3, alpha = .001
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* Change to 11.34 for alpha = .01
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*/
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Assert.assertTrue("chi-square test -- will fail about 1 in 1000 times",
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testStatistic.chiSquare(expected,observed) < 16.27);
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generator.nextInt(0);
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}
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@Test
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