Rev the reservoir downsampler to support partitioning through a functor.
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@ -10,6 +10,9 @@ import java.util.*;
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* with a Reservoir" (Vitter 1985). At time of writing, this paper is located here:
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* http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.138.784&rep=rep1&type=pdf
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*
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* Contains an enhancement allowing users to partition downsampled data. If a partitioner
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* is used, each partition will be allowed to contain maxElements elements.
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*
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* Note that using the ReservoirDownsampler will leave the given iterator in an undefined
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* state. Do not attempt to use the iterator (other than closing it) after the Downsampler
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* completes.
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@ -33,6 +36,11 @@ public class ReservoirDownsampler<T> implements Iterator<Collection<T>> {
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*/
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private final Comparator<T> comparator;
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/**
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* Partitions the elements into subsets, each having an equal number of maxElements.
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*/
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private final Partitioner<T> partitioner;
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/**
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* What is the maximum number of reads that can be returned in a single batch.
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*/
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@ -42,11 +50,23 @@ public class ReservoirDownsampler<T> implements Iterator<Collection<T>> {
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* Create a new downsampler with the given source iterator and given comparator.
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* @param iterator Source of the data stream.
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* @param comparator Used to compare two records to see whether they're 'equal' at this position.
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* @param maxElements What is the maximum number of reads that can be returned in any call of this
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* @param maxElements What is the maximum number of reads that can be returned in any partition of any call of this iterator.
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*/
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public ReservoirDownsampler(final Iterator<T> iterator, final Comparator<T> comparator, final int maxElements) {
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this(iterator,comparator,null,maxElements);
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}
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/**
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* Create a new downsampler with the given source iterator and given comparator.
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* @param iterator Source of the data stream.
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* @param comparator Used to compare two records to see whether they're 'equal' at this position.
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* @param partitioner Used to divide the elements into bins. Each bin can have maxElements elements.
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* @param maxElements What is the maximum number of reads that can be returned in any call of this
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*/
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public ReservoirDownsampler(final Iterator<T> iterator, final Comparator<T> comparator, final Partitioner<T> partitioner, final int maxElements) {
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this.iterator = new PeekableIterator<T>(iterator);
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this.comparator = comparator;
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this.partitioner = partitioner;
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if(maxElements < 0)
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throw new StingException("Unable to work with an negative size collection of elements");
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this.maxElements = maxElements;
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@ -65,39 +85,101 @@ public class ReservoirDownsampler<T> implements Iterator<Collection<T>> {
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if(!hasNext())
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throw new NoSuchElementException("No next element is present.");
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List<T> batch = new ArrayList<T>(maxElements);
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int currentElement = 0;
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Map<Object,Partition<T>> partitions = new HashMap<Object,Partition<T>>();
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// Determine our basis of equality.
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T first = iterator.next();
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if(maxElements > 0)
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batch.add(first);
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currentElement++;
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getPartitionForEntry(partitions,first).add(first);
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// Fill the reservoir
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while(iterator.hasNext() &&
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currentElement < maxElements &&
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comparator.compare(first,iterator.peek()) == 0) {
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batch.add(iterator.next());
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currentElement++;
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}
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// Trim off remaining elements, randomly selecting them using the process as described by Vitter.
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while(iterator.hasNext() && comparator.compare(first,iterator.peek()) == 0) {
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T candidate = iterator.next();
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final int slot = random.nextInt(currentElement);
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if(slot >= 0 && slot < maxElements)
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batch.set(slot,candidate);
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currentElement++;
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}
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getPartitionForEntry(partitions,candidate).add(candidate);
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}
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LinkedList<T> batch = new LinkedList<T>();
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for(Partition<T> partition: partitions.values())
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batch.addAll(partition.elements);
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return batch;
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}
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/**
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* Gets the appropriate partition for the given entry from storage.
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* @param partitions List of partitions from which to choose.
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* @param entry Entry for which to compute the partition.
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* @return The partition associated with this entry. Will be created if not present.
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*/
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private Partition<T> getPartitionForEntry(final Map<Object,Partition<T>> partitions, final T entry) {
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Object partition = partitioner!=null ? partitioner.partition(entry) : null;
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if(!partitions.containsKey(partition))
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partitions.put(partition,new Partition<T>(maxElements));
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return partitions.get(partition);
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}
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/**
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* Unsupported; throws exception to that effect.
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*/
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public void remove() {
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throw new UnsupportedOperationException("Cannot remove from a ReservoirDownsampler.");
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}
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/**
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* A common interface for a functor that can take data of
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* some type and return an object that can be used to partition
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* that data in some way. Really just a declaration of a
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* specialized map function.
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*/
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public interface Partitioner<T> {
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public Object partition(T input);
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}
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/**
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* Models a partition of a given set of elements. Knows how to select
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* random elements with replacement.
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* @param <T> Data type for the elements of the partition.
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*/
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private class Partition<T> {
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/**
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* How large can this partition grow?
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*/
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private final int partitionSize;
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/**
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* The elements of the partition.
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*/
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private List<T> elements = new ArrayList<T>();
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/**
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* The total number of elements seen.
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*/
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private long elementsSeen = 0;
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public Partition(final int partitionSize) {
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this.partitionSize = partitionSize;
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}
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/**
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* Add a new element to this collection, downsampling as necessary so that the partition
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* stays under partitionSize elements.
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* @param element Element to conditionally add.
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*/
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public void add(T element) {
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if(elements.size() < partitionSize)
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elements.add(element);
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else {
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// Get a uniformly distributed long > 0 and remap it to the range from [0,elementsSeen).
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long slot = random.nextLong();
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while(slot == Long.MIN_VALUE)
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slot = random.nextLong();
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slot = (long)(((float)Math.abs(slot))/Long.MAX_VALUE * (elementsSeen-1));
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// If the chosen slot lives within the partition, replace the entry in that slot with the newest entry.
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if(slot >= 0 && slot < partitionSize)
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elements.set((int)slot,element);
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}
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elementsSeen++;
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}
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}
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}
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@ -16,6 +16,9 @@ import java.util.Comparator;
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*/
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public class AlignmentStartComparator implements Comparator<SAMRecord> {
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public int compare(SAMRecord lhs, SAMRecord rhs) {
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if(!lhs.getReferenceIndex().equals(rhs.getReferenceIndex()))
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return lhs.getReferenceIndex() - rhs.getReferenceIndex();
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// Note: no integer overflow here because alignment starts are >= 0.
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return lhs.getAlignmentStart() - rhs.getAlignmentStart();
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}
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