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.ml.feature;
  
  import java.util.Arrays;
  import java.util.List;
  
  import org.junit.Test;
  
  import org.apache.spark.SharedSparkSession;
  import org.apache.spark.sql.Dataset;
  import org.apache.spark.sql.Row;
  import org.apache.spark.sql.RowFactory;
  import org.apache.spark.sql.types.DataTypes;
  import org.apache.spark.sql.types.Metadata;
  import org.apache.spark.sql.types.StructField;
  import org.apache.spark.sql.types.StructType;
  
  
  public class JavaStopWordsRemoverSuite extends SharedSparkSession {
  
    @Test
    public void javaCompatibilityTest() {
      StopWordsRemover remover = new StopWordsRemover()
        .setInputCol("raw")
        .setOutputCol("filtered");
  
      List<Row> data = Arrays.asList(
        RowFactory.create(Arrays.asList("I", "saw", "the", "red", "baloon")),
        RowFactory.create(Arrays.asList("Mary", "had", "a", "little", "lamb"))
      );
      StructType schema = new StructType(new StructField[]{
        new StructField("raw", DataTypes.createArrayType(DataTypes.StringType), false,
          Metadata.empty())
      });
      Dataset<Row> dataset = spark.createDataFrame(data, schema);
  
      remover.transform(dataset).collect();
    }
  }
  