public void preferencesFetchedOnlyOnce() { var dataModelMock = new DynamicMock( typeof( IDataModel) ); var itemSimilarityMock = new DynamicMock( typeof(IItemSimilarity) ); var candidateItemsStrategyMock = new DynamicMock( typeof (ICandidateItemsStrategy) ); var mostSimilarItemsCandidateItemsStrategyMock = new DynamicMock( typeof(IMostSimilarItemsCandidateItemsStrategy) ); IPreferenceArray preferencesFromUser = new GenericUserPreferenceArray( new List<IPreference>() {new GenericPreference(1L, 1L, 5.0f), new GenericPreference(1L, 2L, 4.0f)}); dataModelMock.ExpectAndReturn("GetMinPreference", float.NaN); dataModelMock.ExpectAndReturn("GetMaxPreference", float.NaN); dataModelMock.ExpectAndReturn("GetPreferencesFromUser", preferencesFromUser, 1L); var dataModel = (IDataModel)dataModelMock.MockInstance; candidateItemsStrategyMock.ExpectAndReturn("GetCandidateItems", new FastIDSet(new long[] { 3L, 4L }), 1L, preferencesFromUser, dataModel); itemSimilarityMock.ExpectAndReturn("ItemSimilarities", new double[] { 0.5, 0.3 }, 3L, preferencesFromUser.GetIDs()); itemSimilarityMock.ExpectAndReturn("ItemSimilarities", new double[] { 0.4, 0.1 }, 4L, preferencesFromUser.GetIDs()); //EasyMock.replay(dataModel, itemSimilarity, candidateItemsStrategy, mostSimilarItemsCandidateItemsStrategy); IRecommender recommender = new GenericItemBasedRecommender((IDataModel)dataModel, (IItemSimilarity)itemSimilarityMock.MockInstance, (ICandidateItemsStrategy)candidateItemsStrategyMock.MockInstance, (IMostSimilarItemsCandidateItemsStrategy)mostSimilarItemsCandidateItemsStrategyMock.MockInstance); recommender.Recommend(1L, 3); dataModelMock.Verify(); itemSimilarityMock.Verify(); candidateItemsStrategyMock.Verify(); mostSimilarItemsCandidateItemsStrategyMock.Verify(); //EasyMock.verify(dataModel, itemSimilarity, candidateItemsStrategy, mostSimilarItemsCandidateItemsStrategy); }