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#Java - Code Snippets for '#Lists.newArrayList' - 6 code snippet(s) found

 Sample 1. Initialize list using google guava Lists

import java.util.List;
import com.google.common.collect.Lists;

class GoogleListsTest{
public static void main(String[] args){
List list = Lists.newArrayList();
}
}

   Like      Feedback     list  google guava  Lists  Lists.newArrayList  com.google.common.collect.Lists


 Sample 2. Code Sample / Example / Snippet of org.apache.spark.mllib.clustering.PowerIterationClustering

  public static void main(String[] args) {

SparkConf sparkConf = new SparkConf().setAppName("JavaPowerIterationClusteringExample");

JavaSparkContext sc = new JavaSparkContext(sparkConf);



@SuppressWarnings("unchecked")

JavaRDD<Tuple3<Long, Long, Double>> similarities = sc.parallelize(Lists.newArrayList(

new Tuple3<Long, Long, Double>(0L, 1L, 0.9),

new Tuple3<Long, Long, Double>(1L, 2L, 0.9),

new Tuple3<Long, Long, Double>(2L, 3L, 0.9),

new Tuple3<Long, Long, Double>(3L, 4L, 0.1),

new Tuple3<Long, Long, Double>(4L, 5L, 0.9)));



PowerIterationClustering pic = new PowerIterationClustering()

.setK(2)

.setMaxIterations(10);

PowerIterationClusteringModel model = pic.run(similarities);



for (PowerIterationClustering.Assignment a: model.assignments().toJavaRDD().collect()) {

System.out.println(a.id() + " -> " + a.cluster());

}



sc.stop();

}


   Like      Feedback      org.apache.spark.mllib.clustering.PowerIterationClustering


 Sample 3. Code Sample / Example / Snippet of org.apache.spark.mllib.clustering.PowerIterationClusteringModel

  public static void main(String[] args) {

SparkConf sparkConf = new SparkConf().setAppName("JavaPowerIterationClusteringExample");

JavaSparkContext sc = new JavaSparkContext(sparkConf);



@SuppressWarnings("unchecked")

JavaRDD<Tuple3<Long, Long, Double>> similarities = sc.parallelize(Lists.newArrayList(

new Tuple3<Long, Long, Double>(0L, 1L, 0.9),

new Tuple3<Long, Long, Double>(1L, 2L, 0.9),

new Tuple3<Long, Long, Double>(2L, 3L, 0.9),

new Tuple3<Long, Long, Double>(3L, 4L, 0.1),

new Tuple3<Long, Long, Double>(4L, 5L, 0.9)));



PowerIterationClustering pic = new PowerIterationClustering()

.setK(2)

.setMaxIterations(10);

PowerIterationClusteringModel model = pic.run(similarities);



for (PowerIterationClustering.Assignment a: model.assignments().toJavaRDD().collect()) {

System.out.println(a.id() + " -> " + a.cluster());

}



sc.stop();

}


   Like      Feedback      org.apache.spark.mllib.clustering.PowerIterationClusteringModel


 Sample 4. Code Sample / Example / Snippet of org.apache.storm.starter.tools.Rankable

  public Object[][] duplicatesData() {

Rankable A1 = new RankableObjectWithFields("A", 1);

Rankable A2 = new RankableObjectWithFields("A", 2);

Rankable A3 = new RankableObjectWithFields("A", 3);

return new Object[][]{ { Lists.newArrayList(ANY_RANKABLE, ANY_RANKABLE, ANY_RANKABLE) }, { Lists.newArrayList(A1,

A2, A3) }, };

}


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 Sample 5. Code Sample / Example / Snippet of org.apache.calcite.sql.type.SqlTypeFactoryImpl

  public void testLeastRestrictiveWithAny() {

SqlTypeFactoryImpl typeFactory = new SqlTypeFactoryImpl(RelDataTypeSystem.DEFAULT);

final RelDataType sqlBigInt = typeFactory.createSqlType(SqlTypeName.BIGINT);

final RelDataType sqlAny = typeFactory.createSqlType(SqlTypeName.ANY);



RelDataType leastRestrictive =

typeFactory.leastRestrictive(Lists.newArrayList(sqlBigInt, sqlAny));

assertEquals(leastRestrictive.getSqlTypeName(), SqlTypeName.ANY);

}


   Like      Feedback      org.apache.calcite.sql.type.SqlTypeFactoryImpl


 Sample 6. Get Files from a directory

private List<File> getFilesFromDirectory(String dir) {
List<File> files = Lists.newArrayList();
Path dirPath = Paths.get(dir);
DirectoryStream<Path> dirFiles = null;
try {
dirFiles = Files.newDirectoryStream(dirPath, glob);
for (Path dirFile : dirFiles) {
files.add(dirFile.toFile());
}
}
catch (Exception cause) {
System.out.println("Exception Occurred, What the hell are you doing");
}

return files;
}

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