@Test public void test() { ScoreDistribution result = ScoreDistributions.merge(dist1, dist2); assertEquals(2, result.getNumTerms()); assertEquals("[HP:1, HP:2]", ImmutableSortedSet.copyOf(result.getObjectIds()).toString()); assertEquals(tid1, result.getObjectScoreDistribution(tid1).getObjectId()); assertEquals(tid2, result.getObjectScoreDistribution(tid2).getObjectId()); }
public static ScoreDistribution merge(Collection<? extends ScoreDistribution> distributions) { if (distributions.isEmpty()) { throw new CannotMergeScoreDistributions("Cannot merge zero ScoreDistributions objects."); } if (distributions.stream().map(ScoreDistribution::getNumTerms).collect(Collectors.toSet()).size() != 1) { throw new CannotMergeScoreDistributions("Different numbers of terms used for precomputation"); } Map<TermId, ObjectScoreDistribution> mapping = new HashMap<>(); for (ScoreDistribution d : distributions) { for (TermId objectId : d.getObjectIds()) { final ObjectScoreDistribution dist = d.getObjectScoreDistribution(objectId); if (mapping.containsKey(objectId)) { throw new CannotMergeScoreDistributions("Duplicate object ID " + objectId + " detected"); } else { mapping.put(objectId, dist); } } } return new ScoreDistribution(distributions.stream().findAny().get().getNumTerms(), mapping); }
ScoreDistributions { public static ScoreDistribution merge(Collection<? extends ScoreDistribution> distributions) { if (distributions.isEmpty()) { throw new CannotMergeScoreDistributions("Cannot merge zero ScoreDistributions objects."); } if (distributions.stream().map(ScoreDistribution::getNumTerms).collect(Collectors.toSet()).size() != 1) { throw new CannotMergeScoreDistributions("Different numbers of terms used for precomputation"); } Map<TermId, ObjectScoreDistribution> mapping = new HashMap<>(); for (ScoreDistribution d : distributions) { for (TermId objectId : d.getObjectIds()) { final ObjectScoreDistribution dist = d.getObjectScoreDistribution(objectId); if (mapping.containsKey(objectId)) { throw new CannotMergeScoreDistributions("Duplicate object ID " + objectId + " detected"); } else { mapping.put(objectId, dist); } } } return new ScoreDistribution(distributions.stream().findAny().get().getNumTerms(), mapping); } }
ScoreDistributions { public static ScoreDistribution merge(Collection<? extends ScoreDistribution> distributions) { if (distributions.isEmpty()) { throw new CannotMergeScoreDistributions("Cannot merge zero ScoreDistributions objects."); } if (distributions.stream().map(ScoreDistribution::getNumTerms).collect(Collectors.toSet()).size() != 1) { throw new CannotMergeScoreDistributions("Different numbers of terms used for precomputation"); } Map<TermId, ObjectScoreDistribution> mapping = new HashMap<>(); for (ScoreDistribution d : distributions) { for (TermId objectId : d.getObjectIds()) { final ObjectScoreDistribution dist = d.getObjectScoreDistribution(objectId); if (mapping.containsKey(objectId)) { throw new CannotMergeScoreDistributions("Duplicate object ID " + objectId + " detected"); } else { mapping.put(objectId, dist); } } } return new ScoreDistribution(distributions.stream().findAny().get().getNumTerms(), mapping); }  }
ScoreDistributions { public static ScoreDistribution merge(Collection<? extends ScoreDistribution> distributions) { if (distributions.isEmpty()) { throw new CannotMergeScoreDistributions("Cannot merge zero ScoreDistributions objects."); } if (distributions.stream().map(ScoreDistribution::getNumTerms).collect(Collectors.toSet()).size() != 1) { throw new CannotMergeScoreDistributions("Different numbers of terms used for precomputation"); } Map<TermId, ObjectScoreDistribution> mapping = new HashMap<>(); for (ScoreDistribution d : distributions) { for (TermId objectId : d.getObjectIds()) { final ObjectScoreDistribution dist = d.getObjectScoreDistribution(objectId); if (mapping.containsKey(objectId)) { throw new CannotMergeScoreDistributions("Duplicate object ID " + objectId + " detected"); } else { mapping.put(objectId, dist); } } } return new ScoreDistribution(distributions.stream().findAny().get().getNumTerms(), mapping); }  static ScoreDistribution merge(Collection<? extends ScoreDistribution> distributions); static ScoreDistribution merge(ScoreDistribution... distributions); }
ScoreDistributions { public static ScoreDistribution merge(Collection<? extends ScoreDistribution> distributions) { if (distributions.isEmpty()) { throw new CannotMergeScoreDistributions("Cannot merge zero ScoreDistributions objects."); } if (distributions.stream().map(ScoreDistribution::getNumTerms).collect(Collectors.toSet()).size() != 1) { throw new CannotMergeScoreDistributions("Different numbers of terms used for precomputation"); } Map<TermId, ObjectScoreDistribution> mapping = new HashMap<>(); for (ScoreDistribution d : distributions) { for (TermId objectId : d.getObjectIds()) { final ObjectScoreDistribution dist = d.getObjectScoreDistribution(objectId); if (mapping.containsKey(objectId)) { throw new CannotMergeScoreDistributions("Duplicate object ID " + objectId + " detected"); } else { mapping.put(objectId, dist); } } } return new ScoreDistribution(distributions.stream().findAny().get().getNumTerms(), mapping); }  static ScoreDistribution merge(Collection<? extends ScoreDistribution> distributions); static ScoreDistribution merge(ScoreDistribution... distributions);  }