content: /*
   * 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,
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   * See the License for the specific language governing permissions and
   * limitations under the License.
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  package org.apache.beam.learning.katas.coretransforms.branching;
  
  // beam-playground:
  //   name: Branching
  //   description: Task from katas to branch out the numbers to two different transforms, one transform
  //     is multiplying each number by 5 and the other transform is multiplying each number by 10.
  //   multifile: false
  //   context_line: 48
  //   categories:
  //     - Branching
  //     - Core Transforms
  //   complexity: BASIC
  //   tags:
  //     - branch
  //     - transforms
  //     - numbers
  
  import static org.apache.beam.sdk.values.TypeDescriptors.integers;
  
  import org.apache.beam.learning.katas.util.Log;
  import org.apache.beam.sdk.Pipeline;
  import org.apache.beam.sdk.options.PipelineOptions;
  import org.apache.beam.sdk.options.PipelineOptionsFactory;
  import org.apache.beam.sdk.transforms.Create;
  import org.apache.beam.sdk.transforms.MapElements;
  import org.apache.beam.sdk.values.PCollection;
  
  public class Task {
  
    public static void main(String[] args) {
      PipelineOptions options = PipelineOptionsFactory.fromArgs(args).create();
      Pipeline pipeline = Pipeline.create(options);
  
      PCollection<Integer> numbers =
          pipeline.apply(Create.of(1, 2, 3, 4, 5));
  
      PCollection<Integer> mult5Results = applyMultiply5Transform(numbers);
      PCollection<Integer> mult10Results = applyMultiply10Transform(numbers);
  
      mult5Results.apply("Log multiply 5", Log.ofElements("Multiplied by 5: "));
      mult10Results.apply("Log multiply 10", Log.ofElements("Multiplied by 10: "));
  
      pipeline.run();
    }
  
    static PCollection<Integer> applyMultiply5Transform(PCollection<Integer> input) {
      return input.apply("Multiply by 5", MapElements.into(integers()).via(num -> num * 5));
    }
  
    static PCollection<Integer> applyMultiply10Transform(PCollection<Integer> input) {
      return input.apply("Multiply by 10", MapElements.into(integers()).via(num -> num * 10));
    }
  
  }