예제 #1
0
  /** An implementation of {@link Multiset#setCount(Object, int, int)}. */
  static <E> boolean setCountImpl(Multiset<E> self, E element, int oldCount, int newCount) {
    checkNonnegative(oldCount, "oldCount");
    checkNonnegative(newCount, "newCount");

    if (self.count(element) == oldCount) {
      self.setCount(element, newCount);
      return true;
    } else {
      return false;
    }
  }
예제 #2
0
 // GWT compiler warning; see contains().
 @SuppressWarnings("cast")
 @Override
 public boolean remove(Object object) {
   if (object instanceof Multiset.Entry) {
     Entry<?> entry = (Entry<?>) object;
     Object element = entry.getElement();
     int entryCount = entry.getCount();
     if (entryCount != 0) {
       // Safe as long as we never add a new entry, which we won't.
       @SuppressWarnings("unchecked")
       Multiset<Object> multiset = (Multiset) multiset();
       return multiset.setCount(element, entryCount, 0);
     }
   }
   return false;
 }
예제 #3
0
 /** Delegate implementation which cares about the element type. */
 private static <E> boolean retainOccurrencesImpl(
     Multiset<E> multisetToModify, Multiset<?> occurrencesToRetain) {
   checkNotNull(multisetToModify);
   checkNotNull(occurrencesToRetain);
   // Avoiding ConcurrentModificationExceptions is tricky.
   Iterator<Entry<E>> entryIterator = multisetToModify.entrySet().iterator();
   boolean changed = false;
   while (entryIterator.hasNext()) {
     Entry<E> entry = entryIterator.next();
     int retainCount = occurrencesToRetain.count(entry.getElement());
     if (retainCount == 0) {
       entryIterator.remove();
       changed = true;
     } else if (retainCount < entry.getCount()) {
       multisetToModify.setCount(entry.getElement(), retainCount);
       changed = true;
     }
   }
   return changed;
 }
예제 #4
0
  /**
   * @param orConditions StatisticsQueryOrConditions<StatisticsQueryCondition>
   * @param statisticsStorage
   * @param scoringExps Set of experiments that have at least one non-zero score for
   *     statisticsQuery. This is used retrieving efos to be displayed in heatmap when no query efvs
   *     exist (c.f. atlasStatisticsQueryService.getScoringAttributesForGenes())
   * @return Multiset<Integer> containing experiment counts corresponding to all attributes in each
   *     StatisticsQueryCondition in orConditions
   */
  private static Multiset<Integer> getScoresForOrConditions(
      final StatisticsQueryOrConditions<StatisticsQueryCondition> orConditions,
      StatisticsStorage statisticsStorage,
      Set<ExperimentInfo> scoringExps) {

    Multiset<Integer> scores = HashMultiset.create();
    for (StatisticsQueryCondition orCondition : orConditions.getConditions()) {
      orCondition.setBioEntityIdRestrictionSet(orConditions.getBioEntityIdRestrictionSet());
      scores.addAll(scoreQuery(orCondition, statisticsStorage, scoringExps));
    }

    // Now apply orConditions' min experiments restriction to scores
    Multiset<Integer> qualifyingScores = HashMultiset.create();
    for (Multiset.Entry<Integer> entry : scores.entrySet()) {
      if (entry.getCount() >= orConditions.getMinExperiments()) {
        qualifyingScores.setCount(entry.getElement(), entry.getCount());
      }
    }

    return qualifyingScores;
  }
 @Override
 public boolean setCount(E element, int oldCount, int newCount) {
   constraint.checkElement(element);
   return delegate.setCount(element, oldCount, newCount);
 }
 @Override
 public int setCount(E element, int count) {
   constraint.checkElement(element);
   return delegate.setCount(element, count);
 }
예제 #7
0
 /**
  * Adds or removes the necessary occurrences of an element such that the element attains the
  * desired count.
  *
  * @param element the element to add or remove occurrences of
  * @param count the desired count of the element in this multiset
  * @return this {@code Builder} object
  * @throws NullPointerException if {@code element} is null
  * @throws IllegalArgumentException if {@code count} is negative
  */
 public Builder<E> setCount(E element, int count) {
   contents.setCount(checkNotNull(element), count);
   return this;
 }
예제 #8
0
  /**
   * The core scoring method for statistics queries
   *
   * @param statisticsQuery query to be peformed on statisticsStorage
   * @param statisticsStorage core data for Statistics qeries
   * @param scoringExps an out parameter.
   *     <p>- If null, experiment counts result of statisticsQuery should be returned. if - If
   *     non-null, it serves as a flag that an optimised statisticsQuery should be performed to just
   *     collect Experiments for which non-zero counts exist for Statistics query. A typical call
   *     scenario in this case is just one efv per statisticsQuery, in which we can both: 1. check
   *     if the efv Attribute itself is a scoring one 2. map this Attribute and Experimeants in
   *     scoringExps to efo terms - via the reverse mapping efv-experiment-> efo term in EfoIndex
   *     (c.f. atlasStatisticsQueryService.getScoringAttributesForGenes())
   * @return Multiset of aggregated experiment counts, where the set of scores genes is intersected
   *     across statisticsQuery.getConditions(), and union-ed across attributes within each
   *     condition in statisticsQuery.getConditions().
   */
  public static Multiset<Integer> scoreQuery(
      StatisticsQueryCondition statisticsQuery,
      final StatisticsStorage statisticsStorage,
      Set<ExperimentInfo> scoringExps) {

    // gatherScoringExpsOnly -> experiment counts should be calculated for statisticsQuery
    // !gatherScoringExpsOnly -> scoring experiments should be collected (into scoringExps) only
    boolean gatherScoringExpsOnly = scoringExps != null;
    Set<StatisticsQueryOrConditions<StatisticsQueryCondition>> andStatisticsQueryConditions =
        statisticsQuery.getConditions();

    Multiset<Integer> results = null;

    if (andStatisticsQueryConditions.isEmpty()) { // End of recursion
      Set<Integer> bioEntityIdRestrictionSet = statisticsQuery.getBioEntityIdRestrictionSet();

      Set<EfAttribute> attributes = statisticsQuery.getAttributes();
      if (attributes.isEmpty()) {

        // No attributes were provided - we have to use pre-computed scores across all attributes
        Multiset<Integer> scoresAcrossAllEfos =
            statisticsStorage.getScoresAcrossAllEfos(statisticsQuery.getStatisticsType());
        results = intersect(scoresAcrossAllEfos, bioEntityIdRestrictionSet);
      } else {
        results = HashMultiset.create();
        setQueryExperiments(statisticsQuery, statisticsStorage);

        // For each experiment in the query, traverse through all attributes and add all gene
        // indexes into one ConciseSet. This way a gene can score
        // only once for a single experiment - across all OR attributes in this query. Once all
        // attributes have been traversed for a single experiment,
        // add ConciseSet to Multiset results
        for (ExperimentInfo exp : statisticsQuery.getExperiments()) {
          FastSet statsForExperiment = new FastSet();
          for (EfAttribute attr : attributes) {
            Map<ExperimentInfo, ConciseSet> expsToStats =
                getStatisticsForAttribute(
                    statisticsQuery.getStatisticsType(), attr, statisticsStorage);
            if (expsToStats != null) {
              if (expsToStats.isEmpty()) {
                log.debug(
                    "Failed to retrieve stats for stat: "
                        + statisticsQuery.getStatisticsType()
                        + " and attr: "
                        + attr);
              } else {
                if (expsToStats.get(exp) != null) {
                  if (!gatherScoringExpsOnly) {
                    statsForExperiment.addAll(
                        intersect(expsToStats.get(exp), bioEntityIdRestrictionSet));
                  } else if (containsAtLeastOne(expsToStats.get(exp), bioEntityIdRestrictionSet)) {
                    // exp contains at least one non-zero score for at least one gene index in
                    // bioEntityIdRestrictionSet -> add it to scoringExps
                    scoringExps.add(exp);
                  }
                } else {
                  log.debug(
                      "Failed to retrieve stats for stat: "
                          + statisticsQuery.getStatisticsType()
                          + " exp: "
                          + exp.getAccession()
                          + " and attr: "
                          + attr);
                }
              }
            }
          }
          if (!gatherScoringExpsOnly) {
            results.addAll(statsForExperiment);
          }
        }
      }
    } else {
      // run over all AND conditions, do "OR" inside (cf. scoreOrStatisticsQueryConditions()) ,
      // "AND"'ing over the whole thing
      for (StatisticsQueryOrConditions<StatisticsQueryCondition> orConditions :
          andStatisticsQueryConditions) {

        // Pass gene restriction set down to orConditions
        orConditions.setGeneRestrictionSet(statisticsQuery.getBioEntityIdRestrictionSet());
        // process OR conditions
        Multiset<Integer> condGenes =
            getScoresForOrConditions(orConditions, statisticsStorage, scoringExps);

        if (results == null) results = condGenes;
        else {
          Iterator<Multiset.Entry<Integer>> resultGenes = results.entrySet().iterator();

          while (resultGenes.hasNext()) {
            Multiset.Entry<Integer> entry = resultGenes.next();
            if (!condGenes.contains(
                entry.getElement())) // AND operation between different top query conditions
            resultGenes.remove();
            else
              // for all gene ids belonging to intersection of all conditions seen so far, we
              // accumulate experiment counts
              results.setCount(
                  entry.getElement(), entry.getCount() + condGenes.count(entry.getElement()));
          }
        }
      }
    }

    if (results == null) {
      results = HashMultiset.create();
    }
    return results;
  }