Repository: commons-math
Updated Branches:
  refs/heads/master 5c753a87c -> 657b1b49d


MATH-1393: Remove code provided in "Commons RNG".


Project: http://git-wip-us.apache.org/repos/asf/commons-math/repo
Commit: http://git-wip-us.apache.org/repos/asf/commons-math/commit/d198cc8c
Tree: http://git-wip-us.apache.org/repos/asf/commons-math/tree/d198cc8c
Diff: http://git-wip-us.apache.org/repos/asf/commons-math/diff/d198cc8c

Branch: refs/heads/master
Commit: d198cc8cae8e42aed25b7ea8af6f1b7960e8a6bb
Parents: 5c753a8
Author: Gilles <er...@apache.org>
Authored: Wed Dec 14 15:52:02 2016 +0100
Committer: Gilles <er...@apache.org>
Committed: Wed Dec 14 17:38:28 2016 +0100

----------------------------------------------------------------------
 .../commons/math4/random/RandomUtils.java       |  86 -----------
 .../RandomUtilsDataGeneratorAbstractTest.java   | 142 -------------------
 2 files changed, 228 deletions(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/commons-math/blob/d198cc8c/src/main/java/org/apache/commons/math4/random/RandomUtils.java
----------------------------------------------------------------------
diff --git a/src/main/java/org/apache/commons/math4/random/RandomUtils.java 
b/src/main/java/org/apache/commons/math4/random/RandomUtils.java
index 8f9c804..7b2cb9e 100644
--- a/src/main/java/org/apache/commons/math4/random/RandomUtils.java
+++ b/src/main/java/org/apache/commons/math4/random/RandomUtils.java
@@ -30,7 +30,6 @@ import 
org.apache.commons.math4.exception.NotStrictlyPositiveException;
 import org.apache.commons.math4.exception.NumberIsTooLargeException;
 import org.apache.commons.math4.exception.util.LocalizedFormats;
 import org.apache.commons.rng.UniformRandomProvider;
-import org.apache.commons.math4.util.MathArrays;
 
 /**
  * Factory for creating generators of miscellaneous data.
@@ -403,90 +402,5 @@ public class RandomUtils {
 
             return u * upper + (1.0 - u) * lower;
         }
-
-        /**
-         * Generates an integer array of length {@code k} whose entries are 
selected
-         * randomly, without repetition, from the integers {@code 0, ..., n - 
1}
-         * (inclusive).
-         * <p>
-         * Generated arrays represent permutations of {@code n} taken {@code 
k} at a
-         * time.
-         * </p>
-         * <p>
-         * This method calls {@link 
MathArrays#shuffle(int[],UniformRandomProvider)
-         * MathArrays.shuffle} in order to create a random shuffle of the set
-         * of natural numbers {@code { 0, 1, ..., n - 1 }}.
-         * </p>
-         *
-         * @param n Domain of the permutation.
-         * @param k Size of the permutation.
-         * @return a random {@code k}-permutation of {@code n}, as an array of
-         * integers.
-         * @throws NumberIsTooLargeException if {@code k > n}.
-         * @throws NotStrictlyPositiveException if {@code k <= 0}.
-         */
-        public int[] nextPermutation(int n,
-                                     int k)
-            throws NumberIsTooLargeException, NotStrictlyPositiveException {
-            if (k > n) {
-                throw new 
NumberIsTooLargeException(LocalizedFormats.PERMUTATION_EXCEEDS_N,
-                                                    k, n, true);
-            }
-            if (k <= 0) {
-                throw new 
NotStrictlyPositiveException(LocalizedFormats.PERMUTATION_SIZE,
-                                                       k);
-            }
-
-            final int[] index = MathArrays.natural(n);
-            MathArrays.shuffle(index, rng);
-
-            // Return a new array containing the first "k" entries of "index".
-            return MathArrays.copyOf(index, k);
-        }
-
-        /**
-         * Returns a list of {@code k} objects selected randomly from the
-         * given {@code collection}.
-         *
-         * <p>
-         * Sampling is without replacement; but if {@code collection} contains
-         * identical objects, the sample may include repeats.  If all elements
-         * are distinct, the resulting object array represents a
-         * <a 
href="http://rkb.home.cern.ch/rkb/AN16pp/node250.html#SECTION0002500000000000000000";>
-         * Simple Random Sample</a> of size {@code k} from the elements of
-         * the {@code collection}.
-         * </p>
-         * <p>
-         * This method calls {@link #nextPermutation(int,int) 
nextPermutation(c.size(), k)}
-         * in order to sample the collection.
-         * </p>
-         *
-         * @param <T> Type of objects held in the {@code collection}.
-         * @param collection Collection to be sampled.
-         * @param k Size of the sample.
-         * @return a random sample of {@code k} elements from the {@code 
collection}.
-         * @throws NumberIsTooLargeException if {@code k > collection.size()}.
-         * @throws NotStrictlyPositiveException if {@code k <= 0}.
-         */
-        public <T> List<T> nextSample(Collection<T> collection,
-                                      int k) {
-            final int len = collection.size();
-            if (k > len) {
-                throw new 
NumberIsTooLargeException(LocalizedFormats.SAMPLE_SIZE_EXCEEDS_COLLECTION_SIZE,
-                                                    k, len, true);
-            }
-            if (k <= 0) {
-                throw new 
NotStrictlyPositiveException(LocalizedFormats.NUMBER_OF_SAMPLES, k);
-            }
-
-            final ArrayList<T> objects = new ArrayList<>(collection);
-            final int[] index = nextPermutation(len, k);
-            final List<T> result = new ArrayList<>(k);
-            for (int i = 0; i < k; i++) {
-                result.add(objects.get(index[i]));
-            }
-
-            return result;
-        }
     }
 }

http://git-wip-us.apache.org/repos/asf/commons-math/blob/d198cc8c/src/test/java/org/apache/commons/math4/random/RandomUtilsDataGeneratorAbstractTest.java
----------------------------------------------------------------------
diff --git 
a/src/test/java/org/apache/commons/math4/random/RandomUtilsDataGeneratorAbstractTest.java
 
b/src/test/java/org/apache/commons/math4/random/RandomUtilsDataGeneratorAbstractTest.java
index 59170d4..dedf278 100644
--- 
a/src/test/java/org/apache/commons/math4/random/RandomUtilsDataGeneratorAbstractTest.java
+++ 
b/src/test/java/org/apache/commons/math4/random/RandomUtilsDataGeneratorAbstractTest.java
@@ -311,146 +311,4 @@ public abstract class 
RandomUtilsDataGeneratorAbstractTest {
             Assert.assertTrue(u > 0.99 && u < 1);
         }
     }
-
-    /** Tests for "nextSample" (sampling from Collection). */
-    @Test
-    public void testNextSample() {
-        Object[][] c = { { "0", "1" }, { "0", "2" }, { "0", "3" },
-                { "0", "4" }, { "1", "2" }, { "1", "3" }, { "1", "4" },
-                { "2", "3" }, { "2", "4" }, { "3", "4" } };
-        long[] observed = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
-        double[] expected = { 100, 100, 100, 100, 100, 100, 100, 100, 100, 100 
};
-
-        HashSet<Object> cPop = new HashSet<>(); // {0,1,2,3,4}
-        for (int i = 0; i < 5; i++) {
-            cPop.add(Integer.toString(i));
-        }
-
-        Object[] sets = new Object[10]; // 2-sets from 5
-        for (int i = 0; i < 10; i++) {
-            HashSet<Object> hs = new HashSet<>();
-            hs.add(c[i][0]);
-            hs.add(c[i][1]);
-            sets[i] = hs;
-        }
-
-        for (int i = 0; i < 1000; i++) {
-            List<Object> cSamp = randomData.nextSample(cPop, 2);
-            observed[findSample(sets, cSamp)]++;
-        }
-
-        // Use ChiSquare dist with df = 10-1 = 9, alpha = 0.001
-        // Change to 21.67 for alpha = 0.01
-        Assert.assertTrue("chi-square test -- will fail about 1 in 1000 times",
-                          testStatistic.chiSquare(expected, observed) < 27.88);
-
-        // Make sure sample of size = size of collection returns same 
collection
-        HashSet<Object> hs = new HashSet<>();
-        hs.add("one");
-        List<Object> one = randomData.nextSample(hs, 1);
-        String oneString = (String) one.get(0);
-        if (one.size() != 1 ||
-            !oneString.equals("one")) {
-            Assert.fail("bad sample for set size = 1, sample size = 1");
-        }
-
-        // Make sure we fail for sample size > collection size.
-        try {
-            one = randomData.nextSample(hs, 2);
-            Assert.fail("sample size > set size, expecting 
MathIllegalArgumentException");
-        } catch (MathIllegalArgumentException ex) {
-            // ignored
-        }
-
-        // Make sure we fail for empty collection.
-        try {
-            hs = new HashSet<>();
-            one = randomData.nextSample(hs, 0);
-            Assert.fail("n = k = 0, expecting MathIllegalArgumentException");
-        } catch (MathIllegalArgumentException ex) {
-            // ignored
-        }
-    }
-
-    @SuppressWarnings("unchecked")
-    private int findSample(Object[] u, List<Object> sampList) {
-        Object[] samp = sampList.toArray(new Object[sampList.size()]);
-        for (int i = 0; i < u.length; i++) {
-            HashSet<Object> set = (HashSet<Object>) u[i];
-            HashSet<Object> sampSet = new HashSet<>();
-            for (int j = 0; j < samp.length; j++) {
-                sampSet.add(samp[j]);
-            }
-            if (set.equals(sampSet)) {
-                return i;
-            }
-        }
-        Assert.fail("sample not found:{" + samp[0] + "," + samp[1] + "}");
-        return -1;
-    }
-
-    /** tests for nextPermutation */
-    @Test
-    public void testNextPermutation() {
-        int[][] p = { { 0, 1, 2 }, { 0, 2, 1 }, { 1, 0, 2 }, { 1, 2, 0 },
-                      { 2, 0, 1 }, { 2, 1, 0 } };
-        long[] observed = { 0, 0, 0, 0, 0, 0 };
-        double[] expected = { 100, 100, 100, 100, 100, 100 };
-
-        for (int i = 0; i < 600; i++) {
-            int[] perm = randomData.nextPermutation(3, 3);
-            observed[findPerm(p, perm)]++;
-        }
-
-        String[] labels = {"{0, 1, 2}", "{ 0, 2, 1 }", "{ 1, 0, 2 }",
-                           "{ 1, 2, 0 }", "{ 2, 0, 1 }", "{ 2, 1, 0 }"};
-        TestUtils.assertChiSquareAccept(labels, expected, observed, 0.001);
-
-        // Check size = 1 boundary case
-        int[] perm = randomData.nextPermutation(1, 1);
-        if ((perm.length != 1) || (perm[0] != 0)) {
-            Assert.fail("bad permutation for n = 1, sample k = 1");
-
-            // Make sure we fail for k size > n
-            try {
-                perm = randomData.nextPermutation(2, 3);
-                Assert.fail("permutation k > n, expecting 
MathIllegalArgumentException");
-            } catch (MathIllegalArgumentException ex) {
-                // ignored
-            }
-
-            // Make sure we fail for n = 0
-            try {
-                perm = randomData.nextPermutation(0, 0);
-                Assert.fail("permutation k = n = 0, expecting 
MathIllegalArgumentException");
-            } catch (MathIllegalArgumentException ex) {
-                // ignored
-            }
-
-            // Make sure we fail for k < n < 0
-            try {
-                perm = randomData.nextPermutation(-1, -3);
-                Assert.fail("permutation k < n < 0, expecting 
MathIllegalArgumentException");
-            } catch (MathIllegalArgumentException ex) {
-                // ignored
-            }
-
-        }
-    }
-
-    private int findPerm(int[][] p, int[] samp) {
-        for (int i = 0; i < p.length; i++) {
-            boolean good = true;
-            for (int j = 0; j < samp.length; j++) {
-                if (samp[j] != p[i][j]) {
-                    good = false;
-                }
-            }
-            if (good) {
-                return i;
-            }
-        }
-        Assert.fail("permutation not found");
-        return -1;
-    }
 }

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