diff --git a/src/main/java/org/apache/commons/math/random/BitsStreamGenerator.java b/src/main/java/org/apache/commons/math/random/BitsStreamGenerator.java index fde5d742b..bef86a0bb 100644 --- a/src/main/java/org/apache/commons/math/random/BitsStreamGenerator.java +++ b/src/main/java/org/apache/commons/math/random/BitsStreamGenerator.java @@ -119,28 +119,35 @@ public abstract class BitsStreamGenerator implements RandomGenerator { return next(32); } - /** {@inheritDoc} */ + /** + * {@inheritDoc} + *

This default implementation is copied from Apache Harmony + * java.util.Random (r929253).

+ * + *

Implementation notes:

+ */ public int nextInt(int n) throws IllegalArgumentException { - - if (n < 1) { - throw new NotStrictlyPositiveException(n); - } - - // find bit mask for n - int mask = n; - mask |= mask >> 1; - mask |= mask >> 2; - mask |= mask >> 4; - mask |= mask >> 8; - mask |= mask >> 16; - - while (true) { - final int random = next(32) & mask; - if (random < n) { - return random; + if (n > 0) { + if ((n & -n) == n) { + return (int) ((n * (long) next(31)) >> 31); } + int bits; + int val; + do { + bits = next(31); + val = bits % n; + } while (bits - val + (n - 1) < 0); + return val; } - + throw new NotStrictlyPositiveException(n); } /** {@inheritDoc} */ diff --git a/src/site/xdoc/changes.xml b/src/site/xdoc/changes.xml index bb053c095..41922764a 100644 --- a/src/site/xdoc/changes.xml +++ b/src/site/xdoc/changes.xml @@ -52,6 +52,9 @@ The type attribute can be add,update,fix,remove. If the output is not quite correct, check for invisible trailing spaces! --> + + Improved performance of nextInt(int) in BitsStreamGenerator. + Fixed a wrong detection of rotation axis versus vectors plane in Rotation constructor using two vectors pairs. diff --git a/src/test/java/org/apache/commons/math/random/RandomGeneratorAbstractTest.java b/src/test/java/org/apache/commons/math/random/RandomGeneratorAbstractTest.java index ec5c0f212..2893cd8b2 100644 --- a/src/test/java/org/apache/commons/math/random/RandomGeneratorAbstractTest.java +++ b/src/test/java/org/apache/commons/math/random/RandomGeneratorAbstractTest.java @@ -16,6 +16,8 @@ */ package org.apache.commons.math.random; +import java.util.Arrays; + import org.apache.commons.math.TestUtils; import org.apache.commons.math.stat.Frequency; import org.apache.commons.math.stat.descriptive.SummaryStatistics; @@ -77,30 +79,87 @@ public abstract class RandomGeneratorAbstractTest extends RandomDataTest { public void testNextSecureHex() {} @Test - public void testNextIntDirect() { + /** + * Tests uniformity of nextInt(int) distribution by generating 1000 + * samples for each of 10 test values and for each sample performing + * a chi-square test of homogeneity of the observed distribution with + * the expected uniform distribution. Tests are performed at the .01 + * level and an average failure rate higher than 2% (i.e. more than 20 + * null hypothesis rejections) causes the test case to fail. + * + * All random values are generated using the generator instance used by + * other tests and the generator is not reseeded, so this is a fixed seed + * test. + */ + public void testNextIntDirect() throws Exception { + // Set up test values - end of the array filled randomly + int[] testValues = new int[] {4, 10, 12, 32, 100, 10000, 0, 0, 0, 0}; + for (int i = 6; i < 10; i++) { + final int val = generator.nextInt(); + testValues[i] = val < 0 ? -val : val + 1; + } + + final int numTests = 1000; + for (int i = 0; i < testValues.length; i++) { + final int n = testValues[i]; + // Set up bins + int[] binUpperBounds; + if (n < 32) { + binUpperBounds = new int[n]; + for (int k = 0; k < n; k++) { + binUpperBounds[k] = k; + } + } else { + binUpperBounds = new int[10]; + final int step = n / 10; + for (int k = 0; k < 9; k++) { + binUpperBounds[k] = (k + 1) * step; + } + binUpperBounds[9] = n - 1; + } + // Run the tests + int numFailures = 0; + final int binCount = binUpperBounds.length; + final long[] observed = new long[binCount]; + final double[] expected = new double[binCount]; + expected[0] = binUpperBounds[0] == 0 ? (double) smallSampleSize / (double) n : + (double) ((binUpperBounds[0] + 1) * smallSampleSize) / (double) n; + for (int k = 1; k < binCount; k++) { + expected[k] = (double) smallSampleSize * + (double) (binUpperBounds[k] - binUpperBounds[k - 1]) / (double) n; + } + for (int j = 0; j < numTests; j++) { + Arrays.fill(observed, 0); + for (int k = 0; k < smallSampleSize; k++) { + final int value = generator.nextInt(n); + Assert.assertTrue("nextInt range",(value >= 0) && (value < n)); + for (int l = 0; l < binCount; l++) { + if (binUpperBounds[l] >= value) { + observed[l]++; + break; + } + } + } + if (testStatistic.chiSquareTest(expected, observed) < 0.01) { + numFailures++; + } + } + if ((double) numFailures / (double) numTests > 0.02) { + Assert.fail("Too many failures for n = " + n + + " " + numFailures + " out of " + numTests + " tests failed."); + } + } + } + + @Test(expected=MathIllegalArgumentException.class) + public void testNextIntIAE() { try { generator.nextInt(-1); Assert.fail("MathIllegalArgumentException expected"); } catch (MathIllegalArgumentException ex) { // ignored } - Frequency freq = new Frequency(); - int value = 0; - for (int i=0; i= 0) && (value <= 3)); - freq.addValue(value); - } - long[] observed = new long[4]; - for (int i=0; i<4; i++) { - observed[i] = freq.getCount(i); - } - - /* Use ChiSquare dist with df = 4-1 = 3, alpha = .001 - * Change to 11.34 for alpha = .01 - */ - Assert.assertTrue("chi-square test -- will fail about 1 in 1000 times", - testStatistic.chiSquare(expected,observed) < 16.27); + generator.nextInt(0); } @Test