Java tutorial
/* * Seldon -- open source prediction engine * ======================================= * * Copyright 2011-2015 Seldon Technologies Ltd and Rummble Ltd (http://www.seldon.io/) * * ******************************************************************************************** * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * ******************************************************************************************** */ package io.seldon.clustering.recommender; import java.util.Collections; import java.util.Map; import java.util.Set; import java.util.concurrent.ConcurrentHashMap; import org.springframework.stereotype.Service; @Service public class ClientClusterTypeServiceImpl implements ClientClusterTypeService { Map<String, Set<Integer>> validClusters = new ConcurrentHashMap<>(); public ClientClusterTypeServiceImpl() { } public void addTypes(String client, Set<Integer> types) { validClusters.put(client, Collections.unmodifiableSet(types)); } public boolean okToClusterCount(String client, int type) { Set<Integer> s = validClusters.get(client); if (s != null) { return s.contains(type); } else return true; } }