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.ml.GBDT.psf;
  
  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 io.netty.buffer.ByteBuf;
  
  import java.util.ArrayList;
  import java.util.List;
  
  /**
   * `UnaryAggrParam` is Parameter of `UnaryAggrFunc`.
   */
  public class HistAggrParam extends GetParam {
  
    public static class HistPartitionAggrParam extends PartitionGetParam {
      private int rowId;
      private int splitNum;
      private float minChildWeight;
      private float regAlpha;
      private float regLambda;
  
      public HistPartitionAggrParam(int matrixId, PartitionKey partKey, int rowId, int splitNum,
        float minChildWeight, float regAlpha, float regLambda) {
        super(matrixId, partKey);
        this.rowId = rowId;
        this.splitNum = splitNum;
        this.minChildWeight = minChildWeight;
        this.regAlpha = regAlpha;
        this.regLambda = regLambda;
      }
  
      public HistPartitionAggrParam() {
        this(0, null, 0, 0, 0.0f, 0.0f, 0.0f);
      }
  
      @Override public void serialize(ByteBuf buf) {
        super.serialize(buf);
        buf.writeInt(rowId);
        buf.writeInt(splitNum);
        buf.writeFloat(minChildWeight);
        buf.writeFloat(regAlpha);
        buf.writeFloat(regLambda);
      }
  
      @Override public void deserialize(ByteBuf buf) {
        super.deserialize(buf);
        rowId = buf.readInt();
        splitNum = buf.readInt();
        minChildWeight = buf.readFloat();
        regAlpha = buf.readFloat();
        regLambda = buf.readFloat();
      }
  
      @Override public int bufferLen() {
        return super.bufferLen() + 4 * 2 + 4 * 3;
      }
  
      public int getRowId() {
        return rowId;
      }
  
      public int getSplitNum() {
        return splitNum;
      }
  
  
      public float getMinChildWeight() {
        return minChildWeight;
      }
  
      public float getRegAlpha() {
        return regAlpha;
      }
  
      public float getRegLambda() {
        return regLambda;
      }
    }
  
  
    private final int rowId;
    private final int splitNum;
    private float minChildWeight;
    private float regAlpha;
    private float regLambda;
  
    public HistAggrParam(int matrixId, int rowId, int splitNum, float minChildWeight, float regAlpha,
      float regLambda) {
  
      super(matrixId);
      this.rowId = rowId;
      this.splitNum = splitNum;
      this.minChildWeight = minChildWeight;
      this.regAlpha = regAlpha;
      this.regLambda = regLambda;
    }
  
    @Override public List<PartitionGetParam> split() {
      List<PartitionKey> parts = PSAgentContext.get().getMatrixMetaManager().getPartitions(matrixId);
      int size = parts.size();
  
      List<PartitionGetParam> partParams = new ArrayList<PartitionGetParam>(size);
  
      for (PartitionKey part : parts) {
        partParams.add(
          new HistPartitionAggrParam(matrixId, part, rowId, splitNum, minChildWeight, regAlpha,
            regLambda));
      }
  
      return partParams;
    }
  
  }