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,
   * 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.spark.mllib.fpm;
  
  import java.io.File;
  import java.util.Arrays;
  import java.util.List;
  
  import org.junit.Assert;
  import org.junit.Test;
  
  import org.apache.spark.SharedSparkSession;
  import org.apache.spark.api.java.JavaRDD;
  import org.apache.spark.mllib.fpm.PrefixSpan.FreqSequence;
  import org.apache.spark.util.Utils;
  
  public class JavaPrefixSpanSuite extends SharedSparkSession {
  
    @Test
    public void runPrefixSpan() {
      JavaRDD<List<List<Integer>>> sequences = jsc.parallelize(Arrays.asList(
        Arrays.asList(Arrays.asList(1, 2), Arrays.asList(3)),
        Arrays.asList(Arrays.asList(1), Arrays.asList(3, 2), Arrays.asList(1, 2)),
        Arrays.asList(Arrays.asList(1, 2), Arrays.asList(5)),
        Arrays.asList(Arrays.asList(6))
      ), 2);
      PrefixSpan prefixSpan = new PrefixSpan()
        .setMinSupport(0.5)
        .setMaxPatternLength(5);
      PrefixSpanModel<Integer> model = prefixSpan.run(sequences);
      JavaRDD<FreqSequence<Integer>> freqSeqs = model.freqSequences().toJavaRDD();
      List<FreqSequence<Integer>> localFreqSeqs = freqSeqs.collect();
      Assert.assertEquals(5, localFreqSeqs.size());
      // Check that each frequent sequence could be materialized.
      for (PrefixSpan.FreqSequence<Integer> freqSeq : localFreqSeqs) {
        List<List<Integer>> seq = freqSeq.javaSequence();
        long freq = freqSeq.freq();
      }
    }
  
    @Test
    public void runPrefixSpanSaveLoad() {
      JavaRDD<List<List<Integer>>> sequences = jsc.parallelize(Arrays.asList(
        Arrays.asList(Arrays.asList(1, 2), Arrays.asList(3)),
        Arrays.asList(Arrays.asList(1), Arrays.asList(3, 2), Arrays.asList(1, 2)),
        Arrays.asList(Arrays.asList(1, 2), Arrays.asList(5)),
        Arrays.asList(Arrays.asList(6))
      ), 2);
      PrefixSpan prefixSpan = new PrefixSpan()
        .setMinSupport(0.5)
        .setMaxPatternLength(5);
      PrefixSpanModel<Integer> model = prefixSpan.run(sequences);
  
      File tempDir = Utils.createTempDir(
        System.getProperty("java.io.tmpdir"), "JavaPrefixSpanSuite");
      String outputPath = tempDir.getPath();
  
      try {
        model.save(spark.sparkContext(), outputPath);
        @SuppressWarnings("unchecked")
        PrefixSpanModel<Integer> newModel =
            (PrefixSpanModel<Integer>) PrefixSpanModel.load(spark.sparkContext(), outputPath);
        JavaRDD<FreqSequence<Integer>> freqSeqs = newModel.freqSequences().toJavaRDD();
        List<FreqSequence<Integer>> localFreqSeqs = freqSeqs.collect();
        Assert.assertEquals(5, localFreqSeqs.size());
        // Check that each frequent sequence could be materialized.
        for (PrefixSpan.FreqSequence<Integer> freqSeq : localFreqSeqs) {
          List<List<Integer>> seq = freqSeq.javaSequence();
          long freq = freqSeq.freq();
        }
      } finally {
        Utils.deleteRecursively(tempDir);
      }
  
  
    }
  }
  