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.psf.sample.samplenodefeats;
  
  import com.tencent.angel.ml.math2.vector.IntFloatVector;
  import com.tencent.angel.ml.matrix.psf.get.base.GetResult;
  import java.util.Collections;
  import java.util.List;
  
  public class SampleNodeFeatResult extends GetResult {
  
    /**
     * randomly sampled node features array
     */
    public List<IntFloatVector> feats;
  
    SampleNodeFeatResult(List<IntFloatVector> feats) {
      this.feats = feats;
    }
  
    SampleNodeFeatResult() {
      this(null);
    }
  
    public IntFloatVector[] getNodeFeats() {
      Collections.shuffle(feats);
      IntFloatVector[] res = new IntFloatVector[feats.size()];
      return feats.toArray(res);
    }
  }