code: /*
   * Copyright (c) 2016-present, RxJava Contributors.
   *
   * 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
   *
   * 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.
   */
  
  package io.reactivex.rxjava3.core;
  
  import java.util.Arrays;
  import java.util.concurrent.TimeUnit;
  
  import org.openjdk.jmh.annotations.*;
  import org.reactivestreams.Publisher;
  
  import io.reactivex.rxjava3.functions.*;
  
  @BenchmarkMode(Mode.Throughput)
  @Warmup(iterations = 5)
  @Measurement(iterations = 5, time = 1, timeUnit = TimeUnit.SECONDS)
  @OutputTimeUnit(TimeUnit.SECONDS)
  @Fork(value = 1)
  @State(Scope.Thread)
  public class ToFlowablePerf {
      @Param({ "1", "1000", "1000000" })
      public int times;
  
      Maybe<Integer> flowable;
  
      Flowable<Integer> flowableInner;
  
      Observable<Integer> observable;
  
      Observable<Integer> observableInner;
  
      @Setup
      public void setup() {
          Integer[] array = new Integer[times];
          Arrays.fill(array, 777);
  
          Flowable<Integer> source = Flowable.fromArray(array);
  
          final BiFunction<Integer, Integer, Integer> second = new BiFunction<Integer, Integer, Integer>() {
              @Override
              public Integer apply(Integer a, Integer b) {
                  return b;
              }
          };
  
          flowable = source.reduce(second);
  
          flowableInner = source.concatMap(new Function<Integer, Publisher<Integer>>() {
              @Override
              public Publisher<Integer> apply(Integer v) {
                  return Flowable.range(1, 50).reduce(second).toFlowable();
              }
          });
  
          Observable<Integer> sourceObs = Observable.fromArray(array);
  
          observable = sourceObs.reduce(second).toObservable();
  
          observableInner = sourceObs.concatMap(new Function<Integer, Observable<Integer>>() {
              @Override
              public Observable<Integer> apply(Integer v) {
                  return Observable.range(1, 50).reduce(second).toObservable();
              }
          });
      }
  
      @Benchmark
      public Object flowable() {
          return flowable.blockingGet();
      }
  
      @Benchmark
      public Object flowableInner() {
          return flowableInner.blockingLast();
      }
  
      @Benchmark
      public Object observable() {
          return observable.blockingLast();
      }
  
      @Benchmark
      public Object observableInner() {
          return observableInner.blockingLast();
      }
  
      static volatile Object o;
  
      public static void main(String[] args) {
          ToFlowablePerf p = new ToFlowablePerf();
          p.times = 1000000;
          p.setup();
  
          for (int j = 0; j < 15; j++) {
              for (int i = 0; i < 600; i++) {
                  o = p.flowable();
              }
              System.out.println("--- " + j);
          }
      }
  }
  