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.master;
  
  import com.tencent.angel.conf.AngelConf;
  import com.tencent.angel.ml.matrix.MatrixContext;
  import com.tencent.angel.ml.matrix.RowType;
  import com.tencent.angel.ps.storage.partitioner.ColumnRangePartitioner;
  import com.tencent.angel.ps.storage.partitioner.RangePartitioner;
  import org.apache.hadoop.conf.Configuration;
  import org.junit.Test;
  
  public class PartitionerTest {
    @Test public void testModelLongPartitioner() throws Exception {
      MatrixContext mMatrix = new MatrixContext();
      mMatrix.setName("w1");
      mMatrix.setRowNum(10);
      mMatrix.setColNum(-1);
      mMatrix.setValidIndexNum(100000000);
      mMatrix.setRowType(RowType.T_DOUBLE_SPARSE_LONGKEY);
      Configuration conf = new Configuration();
      conf.setInt(AngelConf.ANGEL_PS_NUMBER, 1);
      ColumnRangePartitioner partitioner = new ColumnRangePartitioner();
      //partitioner.init(mMatrix, conf);
      partitioner.getPartitions();
    }
  }
  