File: RandomSample.java

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//******************************************************************************
//
// File:    RandomSample.java
// Package: edu.rit.util
// Unit:    Class edu.rit.util.RandomSample
//
// This Java source file is copyright (C) 2010 by Alan Kaminsky. All rights
// reserved. For further information, contact the author, Alan Kaminsky, at
// ark@cs.rit.edu.
//
// This Java source file is part of the Parallel Java Library ("PJ"). PJ is free
// software; you can redistribute it and/or modify it under the terms of the GNU
// General Public License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// PJ 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 General Public License for more details.
//
// Linking this library statically or dynamically with other modules is making a
// combined work based on this library. Thus, the terms and conditions of the
// GNU General Public License cover the whole combination.
//
// As a special exception, the copyright holders of this library give you
// permission to link this library with independent modules to produce an
// executable, regardless of the license terms of these independent modules, and
// to copy and distribute the resulting executable under terms of your choice,
// provided that you also meet, for each linked independent module, the terms
// and conditions of the license of that module. An independent module is a
// module which is not derived from or based on this library. If you modify this
// library, you may extend this exception to your version of the library, but
// you are not obligated to do so. If you do not wish to do so, delete this
// exception statement from your version.
//
// A copy of the GNU General Public License is provided in the file gpl.txt. You
// may also obtain a copy of the GNU General Public License on the World Wide
// Web at http://www.gnu.org/licenses/gpl.html.
//
//******************************************************************************

package edu.rit.util;

import java.util.Iterator;
import java.util.NoSuchElementException;

/**
 * Class RandomSample provides objects that generate random samples from
 * discrete sets.
 *
 * @author  Alan Kaminsky
 * @version 15-Feb-2010
 */
public class RandomSample
	{

// Prevent construction.

	private RandomSample()
		{
		}

// Exported operations.

	/**
	 * Create an iterator that generates a random sample of <TT>int</TT>s
	 * without replacement. The set to be sampled consists of the integers from
	 * 0 through <I>N</I>&minus;1 inclusive. The sample consists of <I>n</I>
	 * items. Each item in the set is equally likely to occur in the sample. The
	 * iterator returns the items in the sample in ascending order. The iterator
	 * uses the given <TT>prng</TT> to sample items at random. For each item
	 * returned, the iterator consumes one random number from the <TT>prng</TT>.
	 * <P>
	 * As a special case, if <I>n</I> &ge; <I>N</I>, then the iterator returns
	 * all items in the set in ascending order, and the iterator does not use
	 * the <TT>prng</TT>.
	 * <P>
	 * The iterator uses the algorithm in A. Bissell, Ordered random selection
	 * without replacement, <I>Applied Statistics,</I> 35(1):73-75, 1986.
	 *
	 * @param  prng  Pseudorandom number generator.
	 * @param  n     Number of items in the sample.
	 * @param  N     Number of items in the set.
	 *
	 * @return  Iterator over the sample.
	 *
	 * @exception  IllegalArgumentException
	 *     (unchecked exception) Thrown if <I>n</I> &lt; 0 or <I>N</I> &lt; 0.
	 */
	public static Iterator<Integer> withoutReplacement
		(final Random prng,
		 final int n,
		 final int N)
		{
		if (n < 0)
			{
			throw new IllegalArgumentException
				("RandomSample.withoutReplacement(): n < 0 illegal");
			}
		else if (N < 0)
			{
			throw new IllegalArgumentException
				("RandomSample.withoutReplacement(): N < 0 illegal");
			}
		else if (n < N)
			{
			return new Iterator<Integer>()
				{
				private int i = 0;
				private int M = N;
				private int r = N - n;
				public boolean hasNext()
					{
					return i < n;
					}
				public Integer next()
					{
					if (i >= n) throw new NoSuchElementException();
					++ i;
					double x = prng.nextDouble();
					double p = 1.0;
					for (;;)
						{
						p = p*r/M;
						if (p <= x)
							{
							int result = N - M;
							-- M;
							return result;
							}
						else
							{
							-- M;
							-- r;
							}
						}
					}
				public void remove()
					{
					throw new UnsupportedOperationException();
					}
				};
			}
		else
			{
			return new Iterator<Integer>()
				{
				private int i = 0;
				public boolean hasNext()
					{
					return i < N;
					}
				public Integer next()
					{
					if (i >= N) throw new NoSuchElementException();
					return i ++;
					}
				public void remove()
					{
					throw new UnsupportedOperationException();
					}
				};
			}
		}

	/**
	 * Generate a random sample of <TT>int</TT>s without replacement. The set to
	 * be sampled consists of the integers from 0 through <I>N</I>&minus;1
	 * inclusive. The sample consists of <I>n</I> items. Each item in the set is
	 * equally likely to occur in the sample. The items in the sample are stored
	 * in ascending order in the given <TT>buf</TT> starting at index 0. The
	 * iterator uses the given <TT>prng</TT> to sample items at random. For each
	 * item sampled, the iterator consumes one random number from the
	 * <TT>prng</TT>.
	 * <P>
	 * As a special case, if <I>n</I> &ge; <I>N</I>, then all items in the set
	 * are stored in ascending order in the given <TT>buf</TT> starting at index
	 * 0, and the iterator does not use the <TT>prng</TT>.
	 * <P>
	 * This method uses the algorithm in A. Bissell, Ordered random selection
	 * without replacement, <I>Applied Statistics,</I> 35(1):73-75, 1986.
	 *
	 * @param  prng  Pseudorandom number generator.
	 * @param  n     Number of items in the sample.
	 * @param  N     Number of items in the set.
	 * @param  buf   Array in which to store the sampled items.
	 *
	 * @return  Number of sampled items actually stored in <TT>buf</TT>.
	 *
	 * @exception  IllegalArgumentException
	 *     (unchecked exception) Thrown if <I>n</I> &lt; 0 or <I>N</I> &lt; 0.
	 * @exception  NullPointerException
	 *     (unchecked exception) Thrown if <TT>buf</TT> is null.
	 * @exception  IndexOutOfBoundsException
	 *     (unchecked exception) Thrown if <TT>buf.length</TT> &lt; <TT>n</TT>.
	 */
	public static int withoutReplacement
		(Random prng,
		 int n,
		 int N,
		 int[] buf)
		{
		if (n < 0)
			{
			throw new IllegalArgumentException
				("RandomSample.withoutReplacement(): n < 0 illegal");
			}
		else if (N < 0)
			{
			throw new IllegalArgumentException
				("RandomSample.withoutReplacement(): N < 0 illegal");
			}
		else if (n < N)
			{
			int M = N;
			int r = N - n;
			for (int i = 0; i < n; ++ i)
				{
				double x = prng.nextDouble();
				double p = 1.0;
				for (;;)
					{
					p = p*r/M;
					if (p <= x)
						{
						buf[i] = N - M;
						-- M;
						break;
						}
					else
						{
						-- M;
						-- r;
						}
					}
				}
			return n;
			}
		else
			{
			for (int i = 0; i < N; ++ i)
				{
				buf[i] = i;
				}
			return N;
			}
		}

	/**
	 * Create an iterator that generates a random sample of <TT>long</TT>s
	 * without replacement. The set to be sampled consists of the integers from
	 * 0 through <I>N</I>&minus;1 inclusive. The sample consists of <I>n</I>
	 * items. Each item in the set is equally likely to occur in the sample. The
	 * iterator returns the items in the sample in ascending order. The iterator
	 * uses the given <TT>prng</TT> to sample items at random. For each item
	 * returned, the iterator consumes one random number from the <TT>prng</TT>.
	 * <P>
	 * As a special case, if <I>n</I> &ge; <I>N</I>, then the iterator returns
	 * all items in the set in ascending order, and the iterator does not use
	 * the <TT>prng</TT>.
	 * <P>
	 * The iterator uses the algorithm in A. Bissell, Ordered random selection
	 * without replacement, <I>Applied Statistics,</I> 35(1):73-75, 1986.
	 *
	 * @param  prng  Pseudorandom number generator.
	 * @param  n     Number of items in the sample.
	 * @param  N     Number of items in the set.
	 *
	 * @return  Iterator over the sample.
	 *
	 * @exception  IllegalArgumentException
	 *     (unchecked exception) Thrown if <I>n</I> &lt; 0 or <I>N</I> &lt; 0.
	 */
	public static Iterator<Long> withoutReplacement
		(final Random prng,
		 final int n,
		 final long N)
		{
		if (n < 0)
			{
			throw new IllegalArgumentException
				("RandomSample.withoutReplacement(): n < 0 illegal");
			}
		else if (N < 0L)
			{
			throw new IllegalArgumentException
				("RandomSample.withoutReplacement(): N < 0 illegal");
			}
		else if (n < N)
			{
			return new Iterator<Long>()
				{
				private int i = 0;
				private long M = N;
				private long r = N - n;
				public boolean hasNext()
					{
					return i < n;
					}
				public Long next()
					{
					if (i >= n) throw new NoSuchElementException();
					++ i;
					double x = prng.nextDouble();
					double p = 1.0;
					for (;;)
						{
						p = p*r/M;
						if (p <= x)
							{
							long result = N - M;
							-- M;
							return result;
							}
						else
							{
							-- M;
							-- r;
							}
						}
					}
				public void remove()
					{
					throw new UnsupportedOperationException();
					}
				};
			}
		else
			{
			return new Iterator<Long>()
				{
				private long i = 0L;
				public boolean hasNext()
					{
					return i < N;
					}
				public Long next()
					{
					if (i >= N) throw new NoSuchElementException();
					return i ++;
					}
				public void remove()
					{
					throw new UnsupportedOperationException();
					}
				};
			}
		}

	/**
	 * Generate a random sample of <TT>long</TT>s without replacement. The set
	 * to be sampled consists of the integers from 0 through <I>N</I>&minus;1
	 * inclusive. The sample consists of <I>n</I> items. Each item in the set is
	 * equally likely to occur in the sample. The items in the sample are stored
	 * in ascending order in the given <TT>buf</TT> starting at index 0. The
	 * iterator uses the given <TT>prng</TT> to sample items at random. For each
	 * item sampled, the iterator consumes one random number from the
	 * <TT>prng</TT>.
	 * <P>
	 * As a special case, if <I>n</I> &ge; <I>N</I>, then all items in the set
	 * are stored in ascending order in the given <TT>buf</TT> starting at index
	 * 0, and the iterator does not use the <TT>prng</TT>.
	 * <P>
	 * This method uses the algorithm in A. Bissell, Ordered random selection
	 * without replacement, <I>Applied Statistics,</I> 35(1):73-75, 1986.
	 *
	 * @param  prng  Pseudorandom number generator.
	 * @param  n     Number of items in the sample.
	 * @param  N     Number of items in the set.
	 * @param  buf   Array in which to store the sampled items.
	 *
	 * @return  Number of sampled items actually stored in <TT>buf</TT>.
	 *
	 * @exception  IllegalArgumentException
	 *     (unchecked exception) Thrown if <I>n</I> &lt; 0 or <I>N</I> &lt; 0.
	 * @exception  NullPointerException
	 *     (unchecked exception) Thrown if <TT>buf</TT> is null.
	 * @exception  IndexOutOfBoundsException
	 *     (unchecked exception) Thrown if <TT>buf.length</TT> &lt; <TT>n</TT>.
	 */
	public static int withoutReplacement
		(Random prng,
		 int n,
		 long N,
		 long[] buf)
		{
		if (n < 0)
			{
			throw new IllegalArgumentException
				("RandomSample.withoutReplacement(): n < 0 illegal");
			}
		else if (N < 0)
			{
			throw new IllegalArgumentException
				("RandomSample.withoutReplacement(): N < 0 illegal");
			}
		else if (n < N)
			{
			long M = N;
			long r = N - n;
			for (int i = 0; i < n; ++ i)
				{
				double x = prng.nextDouble();
				double p = 1.0;
				for (;;)
					{
					p = p*r/M;
					if (p <= x)
						{
						buf[i] = N - M;
						-- M;
						break;
						}
					else
						{
						-- M;
						-- r;
						}
					}
				}
			return n;
			}
		else
			{
			for (int i = 0; i < N; ++ i)
				{
				buf[i] = i;
				}
			return (int) N;
			}
		}

// Unit test main program.

//	/**
//	 * Unit test main program.
//	 */
//	public static void main
//		(String[] args)
//		{
//		if (args.length != 3)
//			{
//			System.err.println ("Usage: java edu.rit.util.RandomSample <n> <N> <seed>");
//			System.exit (1);
//			}
//		int n = Integer.parseInt (args[0]);
//		int N = Integer.parseInt (args[1]);
//		long seed = Long.parseLong (args[2]);
//		Random prng = Random.getInstance (seed);
//		Iterator<Integer> iter = withoutReplacement (prng, n, N);
//		while (iter.hasNext()) System.out.printf (" %d", iter.next());
//		System.out.println();
//		}

	}