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   *  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
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   *
   *      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
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   */
  
  package org.apache.beam.learning.katas.coretransforms.map.mapelements;
  
  // beam-playground:
  //   name: Map
  //   description: Task from katas to implement a simple map function that multiplies all input elements by 5.
  //   multifile: false
  //   context_line: 45
  //   categories:
  //     - Core Transforms
  //   complexity: BASIC
  //   tags:
  //     - transforms
  //     - map
  //     - numbers
  
  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;
  import org.apache.beam.sdk.values.TypeDescriptors;
  
  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(10, 20, 30, 40, 50));
  
      PCollection<Integer> output = applyTransform(numbers);
  
      output.apply(Log.ofElements());
  
      pipeline.run();
    }
  
    static PCollection<Integer> applyTransform(PCollection<Integer> input) {
      return input.apply(
          MapElements.into(TypeDescriptors.integers())
              .via(number -> number * 5)
      );
    }
  
  }