/** Tests {@code recommend(long, SparseVector, int, Set, Set)}. */
@Test
public void testItemItemRecommender4() {
List<ScoredId> recs = recommender.recommend(5, -1, null, null);
assertThat(Lists.transform(recs, ScoredIds.idFunction()), containsInAnyOrder(6L, 7L, 9L));
LongOpenHashSet candidates = new LongOpenHashSet();
candidates.add(6);
candidates.add(7);
candidates.add(8);
candidates.add(9);
recs = recommender.recommend(5, -1, candidates, null);
assertThat(Lists.transform(recs, ScoredIds.idFunction()), containsInAnyOrder(6L, 7L, 9L));
candidates.remove(6);
recs = recommender.recommend(5, -1, candidates, null);
assertThat(Lists.transform(recs, ScoredIds.idFunction()), containsInAnyOrder(7L, 9L));
candidates.remove(7);
recs = recommender.recommend(5, -1, candidates, null);
assertThat(Lists.transform(recs, ScoredIds.idFunction()), containsInAnyOrder(9L));
candidates.remove(9);
recs = recommender.recommend(5, -1, candidates, null);
assertThat(recs, hasSize(0));
candidates.add(9);
candidates.add(7);
recs = recommender.recommend(5, 1, candidates, null);
assertThat(Lists.transform(recs, ScoredIds.idFunction()), anyOf(contains(9L), contains(7L)));
LongOpenHashSet exclude = new LongOpenHashSet();
exclude.add(7);
recs = recommender.recommend(5, 2, candidates, exclude);
assertThat(Lists.transform(recs, ScoredIds.idFunction()), containsInAnyOrder(9L));
recs = recommender.recommend(5, 0, candidates, null);
assertThat(recs, hasSize(0));
candidates.clear();
candidates.add(7);
candidates.add(9);
recs = recommender.recommend(5, -1, candidates, null);
assertThat(Lists.transform(recs, ScoredIds.idFunction()), containsInAnyOrder(7L, 9L));
candidates.add(6);
exclude.clear();
exclude.add(9);
recs = recommender.recommend(5, -1, candidates, exclude);
assertThat(Lists.transform(recs, ScoredIds.idFunction()), containsInAnyOrder(6L, 7L));
exclude.add(7);
recs = recommender.recommend(5, -1, candidates, exclude);
assertThat(Lists.transform(recs, ScoredIds.idFunction()), containsInAnyOrder(6L));
exclude.add(6);
recs = recommender.recommend(5, -1, candidates, exclude);
assertThat(recs, hasSize(0));
}
/** Tests {@code recommend(long, SparseVector, Set)}. */
@Test
public void testItemItemRecommender3() {
List<ScoredId> recs = recommender.recommend(1, null);
assertTrue(recs.isEmpty());
LongOpenHashSet candidates = new LongOpenHashSet();
candidates.add(6);
candidates.add(7);
candidates.add(8);
candidates.add(9);
recs = recommender.recommend(1, candidates);
assertThat(recs, hasSize(0));
recs = recommender.recommend(2, null);
assertThat(Lists.transform(recs, ScoredIds.idFunction()), contains(9L));
candidates.clear();
candidates.add(7);
candidates.add(8);
candidates.add(9);
recs = recommender.recommend(2, candidates);
assertThat(Lists.transform(recs, ScoredIds.idFunction()), contains(9L));
candidates.add(6);
candidates.remove(9);
recs = recommender.recommend(2, candidates);
assertThat(recs, hasSize(0));
recs = recommender.recommend(5, null);
assertThat(Lists.transform(recs, ScoredIds.idFunction()), containsInAnyOrder(9L, 7L, 6L));
candidates.clear();
candidates.add(6);
candidates.add(7);
recs = recommender.recommend(5, candidates);
assertThat(Lists.transform(recs, ScoredIds.idFunction()), containsInAnyOrder(6L, 7L));
candidates.clear();
candidates.add(6);
candidates.add(9);
recs = recommender.recommend(5, candidates);
assertThat(Lists.transform(recs, ScoredIds.idFunction()), containsInAnyOrder(6L, 9L));
}