All Downloads are FREE. Search and download functionalities are using the official Maven repository.

org.codehaus.plexus.util.CollectionUtils Maven / Gradle / Ivy

Go to download

Statistical sampling library for use in virtdata libraries, based on apache commons math 4

There is a newer version: 5.17.0
Show newest version
package org.codehaus.plexus.util;

/*
 * Copyright The Codehaus Foundation.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

import java.util.ArrayList;
import java.util.Collection;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.NoSuchElementException;
import java.util.Set;

/**
 * @author olamy
 * @version $Id$
 */
public class CollectionUtils
{
    // ----------------------------------------------------------------------
    // Static methods that can probably be moved to a real util class.
    // ----------------------------------------------------------------------

    /**
     * Take a dominant and recessive Map and merge the key:value
     * pairs where the recessive Map may add key:value pairs to the dominant
     * Map but may not override any existing key:value pairs.
     *
     * If we have two Maps, a dominant and recessive, and
     * their respective keys are as follows:
     *
     *  dominantMapKeys = { a, b, c, d, e, f }
     * recessiveMapKeys = { a, b, c, x, y, z }
     *
     * Then the result should be the following:
     *
     * resultantKeys = { a, b, c, d, e, f, x, y, z }
     *
     * @param dominantMap Dominant Map.
     * @param recessiveMap Recessive Map.
     * @return The result map with combined dominant and recessive values.
     */
    public static  Map mergeMaps( Map dominantMap, Map recessiveMap )
    {

        if ( dominantMap == null && recessiveMap == null )
        {
            return null;
        }

        if ( dominantMap != null && recessiveMap == null )
        {
            return dominantMap;
        }

        if ( dominantMap == null)
        {
            return recessiveMap;
        }

        Map result = new HashMap();

        // Grab the keys from the dominant and recessive maps.
        Set dominantMapKeys = dominantMap.keySet();
        Set recessiveMapKeys = recessiveMap.keySet();

        // Create the set of keys that will be contributed by the
        // recessive Map by subtracting the intersection of keys
        // from the recessive Map's keys.
        Collection contributingRecessiveKeys =
            CollectionUtils.subtract( recessiveMapKeys,
                                      CollectionUtils.intersection( dominantMapKeys, recessiveMapKeys ) );

        result.putAll( dominantMap );

        // Now take the keys we just found and extract the values from
        // the recessiveMap and put the key:value pairs into the dominantMap.
        for ( K key : contributingRecessiveKeys )
        {
            result.put( key, recessiveMap.get( key ) );
        }

        return result;
    }

    /**
     * Take a series of Maps and merge
     * them where the ordering of the array from 0..n
     * is the dominant order.
     *
     * @param maps An array of Maps to merge.
     * @return Map The result Map produced after the merging process.
     */
    public static  Map mergeMaps( Map[] maps )
    {
        Map result;

        if ( maps.length == 0 )
        {
            result = null;
        }
        else if ( maps.length == 1 )
        {
            result = maps[0];
        }
        else
        {
            result = mergeMaps( maps[0], maps[1] );

            for ( int i = 2; i < maps.length; i++ )
            {
                result = mergeMaps( result, maps[i] );
            }
        }

        return result;
    }

    /**
     * Returns a {@link Collection} containing the intersection
     * of the given {@link Collection}s.
     * 

* The cardinality of each element in the returned {@link Collection} * will be equal to the minimum of the cardinality of that element * in the two given {@link Collection}s. * * @param a The first collection * @param b The second collection * @see Collection#retainAll * @return The intersection of a and b, never null */ public static Collection intersection( final Collection a, final Collection b ) { ArrayList list = new ArrayList(); Map mapa = getCardinalityMap( a ); Map mapb = getCardinalityMap( b ); Set elts = new HashSet( a ); elts.addAll( b ); for ( E obj : elts ) { for ( int i = 0, m = Math.min( getFreq( obj, mapa ), getFreq( obj, mapb ) ); i < m; i++ ) { list.add( obj ); } } return list; } /** * Returns a {@link Collection} containing a - b. * The cardinality of each element e in the returned {@link Collection} * will be the cardinality of e in a minus the cardinality * of e in b, or zero, whichever is greater. * * @param a The start collection * @param b The collection that will be subtracted * @see Collection#removeAll * @return The result of the subtraction */ public static Collection subtract( final Collection a, final Collection b ) { ArrayList list = new ArrayList( a ); for ( T aB : b ) { list.remove( aB ); } return list; } /** * Returns a {@link Map} mapping each unique element in * the given {@link Collection} to an {@link Integer} * representing the number of occurances of that element * in the {@link Collection}. * An entry that maps to null indicates that the * element does not appear in the given {@link Collection}. * @param col The collection to count cardinalities for * @return A map of counts, indexed on each element in the collection */ public static Map getCardinalityMap( final Collection col ) { HashMap count = new HashMap(); for ( E obj : col ) { Integer c = count.get( obj ); if ( null == c ) { count.put( obj, 1 ); } else { count.put( obj, c + 1 ); } } return count; } public static List iteratorToList( Iterator it ) { if ( it == null ) { throw new NullPointerException( "it cannot be null." ); } List list = new ArrayList(); while ( it.hasNext() ) { list.add( it.next() ); } return list; } // ---------------------------------------------------------------------- // // ---------------------------------------------------------------------- private static int getFreq( final E obj, final Map freqMap ) { try { Integer o = freqMap.get( obj ); if ( o != null ) // minimize NullPointerExceptions { return o; } } catch ( NullPointerException ignore ) { } catch ( NoSuchElementException ignore ) { } return 0; } }





© 2015 - 2024 Weber Informatics LLC | Privacy Policy