/*
  Copyright 2006 by Sean Luke
  Licensed under the Academic Free License version 3.0
  See the file "LICENSE" for more information
*/


package ec.breed;
import ec.*;
import ec.util.*;

/* 
 * ReproductionPipeline.java
 * 
 * Created: Thu Nov  8 13:39:32 EST 2001
 * By: Sean Luke
 */

/**
 * ReproductionPipeline is a BreedingPipeline which simply makes a copy
 * of the individuals it recieves from its source.  If the source is another
 * BreedingPipeline, the individuals have already been cloned, so ReproductionPipeline
 * won't clone them again...unless you force it to do so by turning on the must-clone
 * parameter.
 *
 
Typical Number of Individuals Produced Per produce(...) call

 ...as many as the child produces

 
Number of Sources

 1

 
Parameters

 

 
base.must-clone

 bool =  true or false (default)
 
(do we always clone our individuals, or only clone if the individual hasn't already been cloned by our source?  Typically you want false)

 
 
Default Base

 breed.reproduce

 * @author Sean Luke
 * @version 1.0 
 */

public class ReproductionPipeline extends BreedingPipeline
    {
    public static final String P_REPRODUCE = "reproduce";
    public static final String P_MUSTCLONE = "must-clone";
    public static final int NUM_SOURCES = 1;
    
    public boolean mustClone;
    
    public Parameter defaultBase() { return BreedDefaults.base().push(P_REPRODUCE); }

    public int numSources() { return NUM_SOURCES; }

    public void setup(final EvolutionState state, final Parameter base)
        {
        super.setup(state,base);
        Parameter def = defaultBase();
        mustClone = state.parameters.getBoolean(base.push(P_MUSTCLONE), def.push(P_MUSTCLONE),false);
                
        if (likelihood != 1.0)
            state.output.warning("ReproductionPipeline given a likelihood other than 1.0.  This is nonsensical and will be ignored.",
                base.push(P_LIKELIHOOD),
                def.push(P_LIKELIHOOD));
        }
        
    public int produce(
        final int min, 
        final int max, 
        final int start,
        final int subpopulation,
        final Individual[] inds,
        final EvolutionState state,
        final int thread) 
        {
        // grab individuals from our source and stick 'em right into inds.
        // we'll modify them from there
        int n = sources[0].produce(min,max,start,subpopulation,inds,state,thread);
                
        if (mustClone || sources[0] instanceof SelectionMethod)
            for(int q=start; q < n+start; q++)
                inds[q] = (Individual)(inds[q].clone());
        return n;
        }
    }