On Fri, Dec 14, 2012 at 12:14:45PM -0800, Phil Steitz wrote:
> On 12/14/12 11:59 AM, Gilles Sadowski wrote:
> > On Fri, Dec 14, 2012 at 10:03:14AM -0800, Phil Steitz wrote:
> >> On 12/14/12 9:43 AM, Phil Steitz wrote:
> >>> On 12/14/12 8:52 AM, Gilles Sadowski wrote:
> >>>> On Fri, Dec 14, 2012 at 04:28:25PM -0000, pste...@apache.org wrote:
> >>>>> Author: psteitz
> >>>>> Date: Fri Dec 14 16:28:23 2012
> >>>>> New Revision: 1421968
> >>>>>
> >>>>> URL: http://svn.apache.org/viewvc?rev=1421968&view=rev
> >>>>> Log:
> >>>>> Reverted incompatible changes made in r1420006.
> >>>> I don't understand why you did that.
> >>>> You nullified my changes that fixed (IIUC) the problem while still
> >>>> providing users a smooth upgrade path to using RandomDataGenerator
> >>>> (which it seems was your goal).
> >>> I was basically reverting my original commit, which caused the
> >>> problem.  I started with a revert back to before  r1420006.  Then I
> >>> just added some deprecations.  I should not have introduced new
> >>> constructors or RandomDataGenerator at all at this point. 
> >> Sorry.  Misspoke there.  What I meant was I should not have
> >> introduced a constructor using RandomDataGenerator.  I *did*
> >> introduce one using RandomGenerator, which is what should be used. 
> >> Sorry for the bad communication and somewhat convoluted naming on
> >> this.  Hopefully this makes sense.
> > Si, ultimately, there will be neither a "RandomDataImpl" nor a
> > "RandomDataGenerator" (as I suggested in the comments to MATH-915)?
> 
> Right, there will be no *constructor* taking one of those.  There
> will be a member variable, constructed from a RandomGenerator, which
> will change from being a RandomDataImpl to a RandomDataGenerator. 

I don't understand why "EmpiricalDistribution" would need a
"RandomDataGenerator" at all. That duplicates the "random source" readily
available from the parent class. [That was part of my comment to MATH-915.]
The "randomData" field is only actually used in "getNextValue" where the
code could directly use "UniformRealDistribution" and "NormalDistribution"
variables instead (as my overwritten fix was doing).

> We could make that change now if RandomDataImpl exposed a
> getDelegate method to deliver the wrapped RandomDataGenerator.  

It does. That was one of my changes to fix MATH-916.

Gilles

> Then the current member variable could be changed to a
> RandomDataGenerator and the (now deprecated) constructor taking a
> RandomDataImpl could convert it.  That is a little more work to
> implement and probably not worth the hassle for 3.1 as the member
> field is private.
> 
> Phil
> >
> > Gilles
> >
> >> Phil
> >>>  I am
> >>> sorry I did a bad job explaining what was going on there. 
> >>> Basically, EmpiricalDistibution needs a RandomDataGenerator /
> >>> RandomDataImpl to generate data following certain distributions. 
> >>> What should be provided as a constructor argument for this class
> >>> (and ValueServer) is a RandomGenerator, which is the underlying
> >>> source of random data.  The RandomDataImpl constructors are really
> >>> legacy, going back to the days before RandomGenerator existed.  Does
> >>> this make sense?
> >>>
> >>> Phil
> >>>> Gilles
> >>>>
> >>>>> Fixed javadoc error in EmpiricalDistribution class javadoc.
> >>>>> Deprecated constructors taking RandomDataImpl instances in 
> >>>>> EmpiricalDistribution, ValueServer.  These constructors predate 
> >>>>> RandomGenerator, which should be used directly as the source of random 
> >>>>> data for these classes.
> >>>>>
> >>>>> Modified:
> >>>>>     
> >>>>> commons/proper/math/trunk/src/main/java/org/apache/commons/math3/random/EmpiricalDistribution.java
> >>>>>     
> >>>>> commons/proper/math/trunk/src/main/java/org/apache/commons/math3/random/ValueServer.java
> >>>>>
> >>>>> Modified: 
> >>>>> commons/proper/math/trunk/src/main/java/org/apache/commons/math3/random/EmpiricalDistribution.java
> >>>>> URL: 
> >>>>> http://svn.apache.org/viewvc/commons/proper/math/trunk/src/main/java/org/apache/commons/math3/random/EmpiricalDistribution.java?rev=1421968&r1=1421967&r2=1421968&view=diff
> >>>>> ==============================================================================
> >>>>> --- 
> >>>>> commons/proper/math/trunk/src/main/java/org/apache/commons/math3/random/EmpiricalDistribution.java
> >>>>>  (original)
> >>>>> +++ 
> >>>>> commons/proper/math/trunk/src/main/java/org/apache/commons/math3/random/EmpiricalDistribution.java
> >>>>>  Fri Dec 14 16:28:23 2012
> >>>>> @@ -29,8 +29,8 @@ import java.util.ArrayList;
> >>>>>  import java.util.List;
> >>>>>  
> >>>>>  import org.apache.commons.math3.distribution.AbstractRealDistribution;
> >>>>> -import org.apache.commons.math3.distribution.RealDistribution;
> >>>>>  import org.apache.commons.math3.distribution.NormalDistribution;
> >>>>> +import org.apache.commons.math3.distribution.RealDistribution;
> >>>>>  import org.apache.commons.math3.exception.MathIllegalStateException;
> >>>>>  import org.apache.commons.math3.exception.MathInternalError;
> >>>>>  import org.apache.commons.math3.exception.NullArgumentException;
> >>>>> @@ -134,18 +134,14 @@ public class EmpiricalDistribution exten
> >>>>>      /** upper bounds of subintervals in (0,1) "belonging" to the bins 
> >>>>> */
> >>>>>      private double[] upperBounds = null;
> >>>>>  
> >>>>> -    /** Data generator. */
> >>>>> -    private final RandomDataGenerator randomDataGen;
> >>>>> -    /**
> >>>>> -     * XXX Enable backward-compatibility (to be removed in 4.0).
> >>>>> -     */
> >>>>> -    private final boolean useRandomDataImpl;
> >>>>> +    /** RandomDataImpl instance to use in repeated calls to getNext() 
> >>>>> */
> >>>>> +    private final RandomDataImpl randomData;
> >>>>>  
> >>>>>      /**
> >>>>>       * Creates a new EmpiricalDistribution with the default bin count.
> >>>>>       */
> >>>>>      public EmpiricalDistribution() {
> >>>>> -        this(DEFAULT_BIN_COUNT);
> >>>>> +        this(DEFAULT_BIN_COUNT, new RandomDataImpl());
> >>>>>      }
> >>>>>  
> >>>>>      /**
> >>>>> @@ -154,7 +150,7 @@ public class EmpiricalDistribution exten
> >>>>>       * @param binCount number of bins
> >>>>>       */
> >>>>>      public EmpiricalDistribution(int binCount) {
> >>>>> -        this(binCount, (RandomGenerator) null);
> >>>>> +        this(binCount, new RandomDataImpl());
> >>>>>      }
> >>>>>  
> >>>>>      /**
> >>>>> @@ -162,82 +158,52 @@ public class EmpiricalDistribution exten
> >>>>>       * provided {@link RandomGenerator} as the source of random data.
> >>>>>       *
> >>>>>       * @param binCount number of bins
> >>>>> -     * @param randomData random data generator (may be null, resulting 
> >>>>> in a default generator)
> >>>>> -     * @deprecated As of 3.1. To be removed in 4.0. Please use
> >>>>> -     * {@link #EmpiricalDistribution(int,RandomDataGenerator)} instead.
> >>>>> +     * @param generator random data generator (may be null, resulting 
> >>>>> in default JDK generator)
> >>>>> +     * @since 3.0
> >>>>>       */
> >>>>> -    @Deprecated
> >>>>> -    public EmpiricalDistribution(int binCount, RandomDataImpl 
> >>>>> randomData) {
> >>>>> +    public EmpiricalDistribution(int binCount, RandomGenerator 
> >>>>> generator) {
> >>>>>          this.binCount = binCount;
> >>>>> -        this.randomData = randomData == null ?
> >>>>> -            new RandomDataImpl() :
> >>>>> -            randomData;
> >>>>> +        randomData = new RandomDataImpl(generator);
> >>>>>          binStats = new ArrayList<SummaryStatistics>();
> >>>>> -        useRandomDataImpl = true;
> >>>>> -        randomDataGen = null;
> >>>>> -    }
> >>>>> -    /**
> >>>>> -     * Creates a new EmpiricalDistribution with the specified bin 
> >>>>> count using the
> >>>>> -     * provided {@link RandomGenerator} as the source of random data.
> >>>>> -     *
> >>>>> -     * @param randomData random data generator (may be null, resulting 
> >>>>> in a default generator)
> >>>>> -     * @deprecated As of 3.1. To be removed in 4.0. Please use
> >>>>> -     * {@link #EmpiricalDistribution(RandomDataGenerator)} instead.
> >>>>> -     */
> >>>>> -    @Deprecated
> >>>>> -    public EmpiricalDistribution(RandomDataImpl randomData) {
> >>>>> -        this(DEFAULT_BIN_COUNT, randomData);
> >>>>>      }
> >>>>>  
> >>>>>      /**
> >>>>> -     * Creates a new EmpiricalDistribution with the specified bin 
> >>>>> count using the
> >>>>> -     * provided {@link RandomGenerator} as the source of random data.
> >>>>> -     *
> >>>>> -     * @param binCount number of bins
> >>>>> -     * @param randomData random data generator (may be null, resulting 
> >>>>> in a default generator)
> >>>>> -     */
> >>>>> -    public EmpiricalDistribution(int binCount, RandomDataGenerator 
> >>>>> randomData) {
> >>>>> -        this.binCount = binCount;
> >>>>> -        this.randomDataGen = randomData == null ?
> >>>>> -            new RandomDataGenerator() :
> >>>>> -            randomData;
> >>>>> -        binStats = new ArrayList<SummaryStatistics>();
> >>>>> -        useRandomDataImpl = false; // XXX Remove in 4.0
> >>>>> -    }
> >>>>> -    /**
> >>>>> -     * Creates a new EmpiricalDistribution with the specified bin 
> >>>>> count using the
> >>>>> +     * Creates a new EmpiricalDistribution with default bin count 
> >>>>> using the
> >>>>>       * provided {@link RandomGenerator} as the source of random data.
> >>>>>       *
> >>>>> -     * @param randomData random data generator (may be null, resulting 
> >>>>> in a default generator)
> >>>>> +     * @param generator random data generator (may be null, resulting 
> >>>>> in default JDK generator)
> >>>>> +     * @since 3.0
> >>>>>       */
> >>>>> -    public EmpiricalDistribution(RandomDataGenerator randomData) {
> >>>>> -        this(DEFAULT_BIN_COUNT, randomData);
> >>>>> +    public EmpiricalDistribution(RandomGenerator generator) {
> >>>>> +        this(DEFAULT_BIN_COUNT, generator);
> >>>>>      }
> >>>>>  
> >>>>>      /**
> >>>>>       * Creates a new EmpiricalDistribution with the specified bin 
> >>>>> count using the
> >>>>> -     * provided {@link RandomGenerator} as the source of random data.
> >>>>> +     * provided {@link RandomDataImpl} instance as the source of 
> >>>>> random data.
> >>>>>       *
> >>>>>       * @param binCount number of bins
> >>>>> -     * @param generator random data generator (may be null, resulting 
> >>>>> in a default generator)
> >>>>> +     * @param randomData random data generator (may be null, resulting 
> >>>>> in default JDK generator)
> >>>>>       * @since 3.0
> >>>>>       */
> >>>>> -    public EmpiricalDistribution(int binCount, RandomGenerator 
> >>>>> generator) {
> >>>>> -        this(binCount, new RandomDataGenerator(generator));
> >>>>> +    public EmpiricalDistribution(int binCount, RandomDataImpl 
> >>>>> randomData) {
> >>>>> +        this.binCount = binCount;
> >>>>> +        this.randomData = randomData;
> >>>>> +        binStats = new ArrayList<SummaryStatistics>();
> >>>>>      }
> >>>>>  
> >>>>>      /**
> >>>>>       * Creates a new EmpiricalDistribution with default bin count 
> >>>>> using the
> >>>>> -     * provided {@link RandomGenerator} as the source of random data.
> >>>>> +     * provided {@link RandomDataImpl} as the source of random data.
> >>>>>       *
> >>>>> -     * @param generator random data generator (may be null, resulting 
> >>>>> in default generator)
> >>>>> +     * @param randomData random data generator (may be null, resulting 
> >>>>> in default JDK generator)
> >>>>>       * @since 3.0
> >>>>>       */
> >>>>> -    public EmpiricalDistribution(RandomGenerator generator) {
> >>>>> -        this(DEFAULT_BIN_COUNT, generator);
> >>>>> +    public EmpiricalDistribution(RandomDataImpl randomData) {
> >>>>> +        this(DEFAULT_BIN_COUNT, randomData);
> >>>>>      }
> >>>>>  
> >>>>> -    /**
> >>>>> +     /**
> >>>>>       * Computes the empirical distribution from the provided
> >>>>>       * array of numbers.
> >>>>>       *
> >>>>> @@ -288,7 +254,7 @@ public class EmpiricalDistribution exten
> >>>>>          } finally {
> >>>>>             try {
> >>>>>                 in.close();
> >>>>> -           } catch (IOException ex) { // NOPMD
> >>>>> +           } catch (IOException ex) {
> >>>>>                 // ignore
> >>>>>             }
> >>>>>          }
> >>>>> @@ -320,7 +286,7 @@ public class EmpiricalDistribution exten
> >>>>>          } finally {
> >>>>>              try {
> >>>>>                  in.close();
> >>>>> -            } catch (IOException ex) { // NOPMD
> >>>>> +            } catch (IOException ex) {
> >>>>>                  // ignore
> >>>>>              }
> >>>>>          }
> >>>>> @@ -497,41 +463,22 @@ public class EmpiricalDistribution exten
> >>>>>              throw new 
> >>>>> MathIllegalStateException(LocalizedFormats.DISTRIBUTION_NOT_LOADED);
> >>>>>          }
> >>>>>  
> >>>>> -        if (useRandomDataImpl) {
> >>>>> -            // XXX backward compatibility.
> >>>>> -            // Start with a uniformly distributed random number in (0, 
> >>>>> 1)
> >>>>> -            final double x = randomData.nextUniform(0,1);
> >>>>> -            // Use this to select the bin and generate a Gaussian 
> >>>>> within the bin
> >>>>> -            for (int i = 0; i < binCount; i++) {
> >>>>> -                if (x <= upperBounds[i]) {
> >>>>> -                    SummaryStatistics stats = binStats.get(i);
> >>>>> -                    if (stats.getN() > 0) {
> >>>>> -                        if (stats.getStandardDeviation() > 0) {  // 
> >>>>> more than one obs
> >>>>> -                            return 
> >>>>> randomData.nextGaussian(stats.getMean(),
> >>>>> -                                                           
> >>>>> stats.getStandardDeviation());
> >>>>> -                        } else {
> >>>>> -                            return stats.getMean(); // only one obs in 
> >>>>> bin
> >>>>> -                        }
> >>>>> -                    }
> >>>>> -                }
> >>>>> -            }
> >>>>> -        } else {
> >>>>> -            // Start with a uniformly distributed random number in (0, 
> >>>>> 1)
> >>>>> -            final double x = randomDataGen.nextUniform(0, 1);
> >>>>> -            // Use this to select the bin and generate a Gaussian 
> >>>>> within the bin
> >>>>> -            for (int i = 0; i < binCount; i++) {
> >>>>> -                if (x <= upperBounds[i]) {
> >>>>> -                    SummaryStatistics stats = binStats.get(i);
> >>>>> -                    if (stats.getN() > 0) {
> >>>>> -                        if (stats.getStandardDeviation() > 0) {  // 
> >>>>> more than one obs
> >>>>> -                            return 
> >>>>> randomDataGen.nextGaussian(stats.getMean(),
> >>>>> -                                                              
> >>>>> stats.getStandardDeviation());
> >>>>> -                        } else {
> >>>>> -                            return stats.getMean(); // only one obs in 
> >>>>> bin
> >>>>> -                        }
> >>>>> -                    }
> >>>>> -                }
> >>>>> -            }
> >>>>> +        // Start with a uniformly distributed random number in (0,1)
> >>>>> +        final double x = randomData.nextUniform(0,1);
> >>>>> +
> >>>>> +        // Use this to select the bin and generate a Gaussian within 
> >>>>> the bin
> >>>>> +        for (int i = 0; i < binCount; i++) {
> >>>>> +           if (x <= upperBounds[i]) {
> >>>>> +               SummaryStatistics stats = binStats.get(i);
> >>>>> +               if (stats.getN() > 0) {
> >>>>> +                   if (stats.getStandardDeviation() > 0) {  // more 
> >>>>> than one obs
> >>>>> +                       return randomData.nextGaussian(stats.getMean(),
> >>>>> +                                                      
> >>>>> stats.getStandardDeviation());
> >>>>> +                   } else {
> >>>>> +                       return stats.getMean(); // only one obs in bin
> >>>>> +                   }
> >>>>> +               }
> >>>>> +           }
> >>>>>          }
> >>>>>          throw new 
> >>>>> MathIllegalStateException(LocalizedFormats.NO_BIN_SELECTED);
> >>>>>      }
> >>>>> @@ -624,12 +571,7 @@ public class EmpiricalDistribution exten
> >>>>>       * @since 3.0
> >>>>>       */
> >>>>>      public void reSeed(long seed) {
> >>>>> -        if (useRandomDataImpl) {
> >>>>> -            // XXX backward compatibility.
> >>>>> -            randomData.reSeed(seed);
> >>>>> -        } else {
> >>>>> -            randomDataGen.reSeed(seed);
> >>>>> -        }
> >>>>> +        randomData.reSeed(seed);
> >>>>>      }
> >>>>>  
> >>>>>      // Distribution methods ---------------------------
> >>>>> @@ -819,7 +761,7 @@ public class EmpiricalDistribution exten
> >>>>>       */
> >>>>>      @Override
> >>>>>      public void reseedRandomGenerator(long seed) {
> >>>>> -        reSeed(seed);
> >>>>> +        randomData.reSeed(seed);
> >>>>>      }
> >>>>>  
> >>>>>      /**
> >>>>>
> >>>>> Modified: 
> >>>>> commons/proper/math/trunk/src/main/java/org/apache/commons/math3/random/ValueServer.java
> >>>>> URL: 
> >>>>> http://svn.apache.org/viewvc/commons/proper/math/trunk/src/main/java/org/apache/commons/math3/random/ValueServer.java?rev=1421968&r1=1421967&r2=1421968&view=diff
> >>>>> ==============================================================================
> >>>>> --- 
> >>>>> commons/proper/math/trunk/src/main/java/org/apache/commons/math3/random/ValueServer.java
> >>>>>  (original)
> >>>>> +++ 
> >>>>> commons/proper/math/trunk/src/main/java/org/apache/commons/math3/random/ValueServer.java
> >>>>>  Fri Dec 14 16:28:23 2012
> >>>>> @@ -88,35 +88,36 @@ public class ValueServer {
> >>>>>      private BufferedReader filePointer = null;
> >>>>>  
> >>>>>      /** RandomDataImpl to use for random data generation. */
> >>>>> -    private final RandomDataGenerator randomData;
> >>>>> +    private final RandomDataImpl randomData;
> >>>>>  
> >>>>>      // Data generation modes ======================================
> >>>>>  
> >>>>>      /** Creates new ValueServer */
> >>>>>      public ValueServer() {
> >>>>> -        randomData = new RandomDataGenerator();
> >>>>> +        randomData = new RandomDataImpl();
> >>>>>      }
> >>>>>  
> >>>>>      /**
> >>>>> -     * Construct a ValueServer instance using a RandomDataGenerator as 
> >>>>> its source
> >>>>> +     * Construct a ValueServer instance using a RandomDataImpl as its 
> >>>>> source
> >>>>>       * of random data.
> >>>>>       *
> >>>>> -     * @param randomData random data source
> >>>>> +     * @param randomData the RandomDataImpl instance used to source 
> >>>>> random data
> >>>>>       * @since 3.0
> >>>>> +     * @deprecated use {@link #ValueServer(RandomGenerator)}
> >>>>>       */
> >>>>> -    public ValueServer(RandomDataGenerator randomData) {
> >>>>> +    public ValueServer(RandomDataImpl randomData) {
> >>>>>          this.randomData = randomData;
> >>>>>      }
> >>>>> +
> >>>>>      /**
> >>>>> -     * Construct a ValueServer instance using a RandomDataImpl as its 
> >>>>> source
> >>>>> +     * Construct a ValueServer instance using a RandomGenerator as its 
> >>>>> source
> >>>>>       * of random data.
> >>>>>       *
> >>>>> -     * @param randomData random data source
> >>>>> -     * @deprecated As of 3.1. Use {@link 
> >>>>> #ValueServer(RandomDataGenerator)} instead.
> >>>>> +     * @since 3.1
> >>>>> +     * @param generator source of random data
> >>>>>       */
> >>>>> -    @Deprecated
> >>>>> -    public ValueServer(RandomDataImpl randomData) {
> >>>>> -        this(randomData.getDelegate());
> >>>>> +    public ValueServer(RandomGenerator generator) {
> >>>>> +        this.randomData = new RandomDataImpl(generator);
> >>>>>      }
> >>>>>  
> >>>>>      /**
> >>>>> @@ -288,7 +289,7 @@ public class ValueServer {
> >>>>>              try {
> >>>>>                  filePointer.close();
> >>>>>                  filePointer = null;
> >>>>> -            } catch (IOException ex) { // NOPMD
> >>>>> +            } catch (IOException ex) {
> >>>>>                  // ignore
> >>>>>              }
> >>>>>          }
> >>>>>
> >>>>>
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> >>>>
> >>>>
> >>
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