Added a way to compute a "histogram" (ordered by time slices).

This allows us to see snapshots of the online statistics algorihm.

ProtocolLib/src/main/java/com/comphenix/protocol/timing/HistogramStream.java

@@ -0,0 +1,125 @@
+package com.comphenix.protocol.timing;
+
+import java.util.ArrayList;
+import java.util.List;
+
+import com.google.common.base.Preconditions;
+import com.google.common.collect.ImmutableList;
+
+/**
+ * Represents an online algortihm of computing histograms over time.
+ * @author Kristian
+ */
+public class HistogramStream extends OnlineComputation {
+	/**
+	 * Each bin in the histogram, indexed by time.
+	 */
+	protected List<StatisticsStream> bins;
+	
+	/**
+	 * The current statistics stream we are updating.
+	 */
+	protected StatisticsStream current;
+
+	/**
+	 * The maximum number of observations in each bin.
+	 */
+	protected int binWidth;
+	
+	/**
+	 * The number of total observations.
+	 */
+	protected int count;
+	
+	/**
+	 * Construct a new histogram stream which splits up every observation in different bins, ordered by time. 
+	 * @param binWidth - maximum number of observations in each bin.
+	 */
+	public HistogramStream(int binWidth) {
+		this(new ArrayList<StatisticsStream>(), new StatisticsStream(), binWidth);
+	}
+	
+	/**
+	 * Construct a new copy of the given histogram.
+	 * @param other - the histogram to copy.
+	 */
+	public HistogramStream(HistogramStream other) {
+		// Deep cloning
+		for (StatisticsStream stream : other.bins) {
+			StatisticsStream copy = stream.copy();
+			
+			// Update current
+			if (stream == other.current)
+				this.current = copy;
+			this.bins.add(copy);
+		}
+		this.binWidth = other.binWidth;
+	}
+	
+	/**
+	 * Construct a new histogram stream.
+	 * @param bins - list of bins.
+	 * @param current - the current selected bin. This will be added to the list if it is not already present.
+	 * @param binWidth - the desired number of observations in each bin.
+	 */
+	protected HistogramStream(List<StatisticsStream> bins, StatisticsStream current, int binWidth) {
+		if (binWidth < 1)
+			throw new IllegalArgumentException("binWidth cannot be less than 1");
+		this.bins =  Preconditions.checkNotNull(bins, "bins cannot be NULL");
+		this.current = Preconditions.checkNotNull(current, "current cannot be NULL");
+		this.binWidth = binWidth;
+		
+		if (!this.bins.contains(current)) {
+			this.bins.add(current);
+		}
+	}
+	
+	@Override
+	public HistogramStream copy() {
+		return new HistogramStream(this);
+	}
+	
+	/**
+	 * Retrieve an immutable view of every bin in the histogram.
+	 * @return Every bin in the histogram.
+	 */
+	public ImmutableList<StatisticsStream> getBins() {
+		return ImmutableList.copyOf(bins);
+	}
+	
+	@Override
+	public void observe(double value) {
+		checkOverflow();
+		count++;
+		current.observe(value);
+	}
+	
+	/**
+	 * See if the current bin has overflowed. If so, construct a new bin and set it as the current.
+	 */
+	protected void checkOverflow() {
+		if (current.getCount() >= binWidth) {
+			bins.add(current = new StatisticsStream());
+		}
+	}
+	
+	/**
+	 * Retrieve the total statistics of every bin in the histogram.
+	 * <p>
+	 * This method is not thread safe.
+	 * @return The total statistics.
+	 */
+	public StatisticsStream getTotal() {
+		StatisticsStream sum = null;
+		
+		for (StatisticsStream stream : bins) {
+			sum = sum != null ? stream.add(sum) : stream;
+		}
+		return sum;
+	}
+		
+	@Override
+	public int getCount() {
+		return count;
+	}
+}

ProtocolLib/src/main/java/com/comphenix/protocol/timing/OnlineComputation.java

@@ -0,0 +1,49 @@
+package com.comphenix.protocol.timing;
+
+/**
+ * Represents an online computation.
+ * @author Kristian
+ */
+public abstract class OnlineComputation {
+    /**
+     * Retrieve the number of observations.
+     * @return Number of observations.
+     */
+	public abstract int getCount();
+
+	/**
+     * Observe a value.
+     * @param value - the observed value.
+     */
+	public abstract void observe(double value);
+	
+	/**
+	 * Construct a copy of the current online computation.
+	 * @return The new copy.
+	 */
+	public abstract OnlineComputation copy();
+	
+	/**
+	 * Retrieve a wrapper for another online computation that is synchronized.
+	 * @param computation - the computation.
+	 * @return The synchronized wrapper.
+	 */
+	public static OnlineComputation synchronizedComputation(final OnlineComputation computation) {
+		return new OnlineComputation() {
+			@Override
+			public synchronized void observe(double value) {
+				computation.observe(value);
+			}
+			
+			@Override
+			public synchronized int getCount() {
+				return computation.getCount();
+			}
+			
+			@Override
+			public synchronized OnlineComputation copy() {
+				return computation.copy();
+			}
+		};
+	}
+}

ProtocolLib/src/main/java/com/comphenix/protocol/timing/StatisticsStream.java

@@ -4,7 +4,7 @@ package com.comphenix.protocol.timing;
  * Represents an online algortihm for computing the mean and standard deviation without storing every value.
  * @author Kristian
  */
-public class StatisticsStream {
+public class StatisticsStream extends OnlineComputation {
 	// This algorithm is due to Donald Knuth, as described in:
 	//     Donald E. Knuth (1998). The Art of Computer Programming, volume 2: 
 	//	   Seminumerical Algorithms, 3rd edn., p. 232. Boston: Addison-Wesley.
@@ -35,10 +35,16 @@ public class StatisticsStream {
 		this.maximum = other.maximum;
 	}
 
+	@Override
+	public StatisticsStream copy() {
+		return new StatisticsStream(this);
+	}
+    
 	/**
      * Observe a value.
      * @param value - the observed value.
      */
+    @Override
 	public void observe(double value) {
     	double delta = value - mean;
     	
@@ -125,6 +131,7 @@ public class StatisticsStream {
      * Retrieve the number of observations.
      * @return Number of observations.
      */
+    @Override
 	public int getCount() {
 		return count;
 	}
@@ -134,4 +141,14 @@ public class StatisticsStream {
     		throw new IllegalStateException("No observations in stream.");
     	}
     }
+    
+    @Override
+    public String toString() {
+    	if (count == 0)
+    		return "StatisticsStream [Nothing recorded]";
+    	
+		return String.format("StatisticsStream [Average: %.3f, SD: %.3f, Min: %.3f, Max: %.3f, Count: %s]", 
+			getMean(), getStandardDeviation(), 
+			getMinimum(), getMaximum(), getCount());
+    }
 }