content: /*
   * Tencent is pleased to support the open source community by making Angel available.
   *
   * Copyright (C) 2017-2018 THL A29 Limited, a Tencent company. All rights reserved.
   *
   * 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
   *
   * https://opensource.org/licenses/Apache-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 com.tencent.angel.graph.client.sampleFeats;
  
  import com.tencent.angel.PartitionKey;
  import com.tencent.angel.ml.matrix.psf.get.base.GetParam;
  import com.tencent.angel.ml.matrix.psf.get.base.PartitionGetParam;
  import com.tencent.angel.psagent.PSAgentContext;
  import java.util.ArrayList;
  import java.util.List;
  
  public class SampleNodeFeatsParam extends GetParam {
  
    private final int size;
  
    public SampleNodeFeatsParam(int matrixId, int size) {
      super(matrixId);
      this.size = size;
    }
  
    public SampleNodeFeatsParam() {
      this(-1, 0);
    }
  
    @Override
    public List<PartitionGetParam> split() {
  
      List<PartitionGetParam> params = new ArrayList<>();
      List<PartitionKey> parts = PSAgentContext.get().getMatrixMetaManager().getPartitions(matrixId);
      int eachSize = size / parts.size() + 1;
      for (PartitionKey key : parts) {
        params.add(new SampleNodeFeatsPartParam(matrixId, key, eachSize));
      }
  
      return params;
    }
  }
  