content: package org.apache.cassandra.stress.operations;
  /*
   *
   * Licensed to the Apache Software Foundation (ASF) under one
   * or more contributor license agreements.  See the NOTICE file
   * distributed with this work for additional information
   * regarding copyright ownership.  The ASF licenses this file
   * to you 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.
   *
   */
  
  
  import java.util.ArrayList;
  import java.util.Collections;
  import java.util.List;
  import java.util.Map;
  
  import org.apache.cassandra.stress.Operation;
  import org.apache.cassandra.stress.StressAction.MeasurementSink;
  import org.apache.cassandra.stress.generate.DistributionFactory;
  import org.apache.cassandra.stress.generate.DistributionFixed;
  import org.apache.cassandra.stress.report.Timer;
  import org.apache.commons.math3.distribution.EnumeratedDistribution;
  import org.apache.commons.math3.util.Pair;
  
  public abstract class SampledOpDistributionFactory<T> implements OpDistributionFactory
  {
  
      final Map<T, Double> ratios;
      final DistributionFactory clustering;
      protected SampledOpDistributionFactory(Map<T, Double> ratios, DistributionFactory clustering)
      {
          this.ratios = ratios;
          this.clustering = clustering;
      }
  
      protected abstract List<? extends Operation> get(Timer timer, T key, boolean isWarmup);
  
      public OpDistribution get(boolean isWarmup, MeasurementSink sink)
      {
          List<Pair<Operation, Double>> operations = new ArrayList<>();
          for (Map.Entry<T, Double> ratio : ratios.entrySet())
          {
              List<? extends Operation> ops = get(new Timer(ratio.getKey().toString(), sink),
                                                  ratio.getKey(), isWarmup);
              for (Operation op : ops)
                  operations.add(new Pair<>(op, ratio.getValue() / ops.size()));
          }
          return new SampledOpDistribution(new EnumeratedDistribution<>(operations), clustering.get());
      }
  
      public String desc()
      {
          List<T> keys = new ArrayList<>();
          for (Map.Entry<T, Double> ratio : ratios.entrySet())
              keys.add(ratio.getKey());
          return keys.toString();
      }
  
      public Iterable<OpDistributionFactory> each()
      {
          List<OpDistributionFactory> out = new ArrayList<>();
          for (final Map.Entry<T, Double> ratio : ratios.entrySet())
          {
              out.add(new OpDistributionFactory()
              {
                  public OpDistribution get(boolean isWarmup, MeasurementSink sink)
                  {
                      List<? extends Operation> ops = SampledOpDistributionFactory.this.get(new Timer(ratio.getKey().toString(), sink),
                                                                                            ratio.getKey(),
                                                                                            isWarmup);
                      if (ops.size() == 1)
                          return new FixedOpDistribution(ops.get(0));
                      List<Pair<Operation, Double>> ratios = new ArrayList<>();
                      for (Operation op : ops)
                          ratios.add(new Pair<>(op, 1d / ops.size()));
                      return new SampledOpDistribution(new EnumeratedDistribution<>(ratios), new DistributionFixed(1));
                  }
  
                  public String desc()
                  {
                      return ratio.getKey().toString();
                  }
  
                  public Iterable<OpDistributionFactory> each()
                  {
                      return Collections.<OpDistributionFactory>singleton(this);
                  }
              });
          }
          return out;
      }
  
  }
  