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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
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   *  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.
   */
  
  package org.apache.beam.learning.katas.coretransforms.partition;
  
  // beam-playground:
  //   name: Partition
  //   description: Task from katas that splits a PCollection of numbers into two PCollections. The first PCollection
  //     contains numbers greater than 100, and the second PCollection contains the remaining numbers.
  //   multifile: false
  //   context_line: 48
  //   categories:
  //     - Core Transforms
  //     - Multiple Outputs
  //   complexity: BASIC
  //   tags:
  //     - split
  //     - transforms
  //     - 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.Partition;
  import org.apache.beam.sdk.transforms.Partition.PartitionFn;
  import org.apache.beam.sdk.values.PCollection;
  import org.apache.beam.sdk.values.PCollectionList;
  
  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, 100, 110, 150, 250)
          );
  
      PCollectionList<Integer> partition = applyTransform(numbers);
  
      partition.get(0).apply(Log.ofElements("Number > 100: "));
      partition.get(1).apply(Log.ofElements("Number <= 100: "));
  
      pipeline.run();
    }
  
    static PCollectionList<Integer> applyTransform(PCollection<Integer> input) {
      return input
          .apply(Partition.of(2,
              (PartitionFn<Integer>) (number, numPartitions) -> {
                if (number > 100) {
                  return 0;
                } else {
                  return 1;
                }
              }));
    }
  
  }