Subhobrata Dey sbcd90

## ExecutorService.java
package org.example;

import java.util.concurrent.*;

class TestThread implements Runnable {
  public final String name;
  public final int newcount;
  public final long newtimesleep;

  public TestThread(String name, int newcount, long newtimeSleep) {

## SynchronizedTest.java
package com.sap.sync;

class SynchronizationTest {
  public int i;

  // synchronize locks a block of code printB or method like printA
  // only one thread can access a synchronized block at a single point in time.
  public synchronized void printA(int a) {
    for (int count=0;count < 5;count++) {
      System.out.println(a);

## TypeClasses.scala
object TypeClasses {
  // the trait defined independent of thing(type A) & evidence(type CanFoo[A])
  trait CanFoo[A] {
    def foos(x: A): String
  }

  // object defined whose apply method takes an implicit param of type CanFoo[A]
  object CanFoo {
    def apply[A:CanFoo]: CanFoo[A] = implicitly
  }

## spark-logical-plan-serializer-deserializer.scala
package org.apache.spark.sql

import java.io.ByteArrayOutputStream

import com.esotericsoftware.kryo.io.Input
import org.apache.hadoop.io.{NullWritable, BytesWritable}
import org.apache.spark.rdd.RDD
import org.apache.spark.serializer.KryoSerializer
import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
import org.apache.spark.{SparkContext, SparkConf}

## DataImportExample.java
/**
 * Disclaimer:
 * This file is an example on how to use the Cassandra SSTableSimpleUnsortedWriter class to create
 * sstables from a csv input file.
 * While this has been tested to work, this program is provided "as is" with no guarantee. Moreover,
 * it's primary aim is toward simplicity rather than completness. In partical, don't use this as an
 * example to parse csv files at home.
 */
import java.nio.ByteBuffer;
import java.io.*;

## gist:22783669d115363e58ed
public class ExodusWriter {

    private JdbcTemplate jdbcTemplate;
    private TransactionTemplate transactionTemplate;

    public ExodusWriter(DataSource dataSource) {
        DataSourceTransactionManager transactionManager = new DataSourceTransactionManager(dataSource);
        jdbcTemplate = new JdbcTemplate(transactionManager.getDataSource());
        transactionTemplate = new TransactionTemplate(transactionManager);
    }

## dojo-taffydb-app
<!DOCTYPE html>
<html>

<head>
    <link rel="stylesheet" href="http://ajax.googleapis.com/ajax/libs/dojo/1.10.3/dijit/themes/claro/claro.css">
    <script type="text/javascript">
        dojoConfig = {
            parseOnLoad: true
        };
    </script>

## console-newsReader
var libxmljs = require('libxmljs');

var XMLHttpRequest = require('xmlhttprequest').XMLHttpRequest;
var xmlhttp1 = new XMLHttpRequest();
xmlhttp1.open('GET','http://www.telegraphindia.com/feeds/rss.jsp?id=3',false);
xmlhttp1.send();
var responseXML = xmlhttp1.responseText;

var xmldoc = libxmljs.parseXmlString(responseXML);
var title = xmldoc.find('//title');
	package org.example;

	import java.util.concurrent.*;

	class TestThread implements Runnable {
	public final String name;
	public final int newcount;
	public final long newtimesleep;

	public TestThread(String name, int newcount, long newtimeSleep) {
	package com.sap.sync;

	class SynchronizationTest {
	public int i;

	// synchronize locks a block of code printB or method like printA
	// only one thread can access a synchronized block at a single point in time.
	public synchronized void printA(int a) {
	for (int count=0;count < 5;count++) {
	System.out.println(a);
	object TypeClasses {
	// the trait defined independent of thing(type A) & evidence(type CanFoo[A])
	trait CanFoo[A] {
	def foos(x: A): String
	}

	// object defined whose apply method takes an implicit param of type CanFoo[A]
	object CanFoo {
	def apply[A:CanFoo]: CanFoo[A] = implicitly
	}
	package org.apache.spark.sql

	import java.io.ByteArrayOutputStream

	import com.esotericsoftware.kryo.io.Input
	import org.apache.hadoop.io.{NullWritable, BytesWritable}
	import org.apache.spark.rdd.RDD
	import org.apache.spark.serializer.KryoSerializer
	import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
	import org.apache.spark.{SparkContext, SparkConf}
	/**
	* Disclaimer:
	* This file is an example on how to use the Cassandra SSTableSimpleUnsortedWriter class to create
	* sstables from a csv input file.
	* While this has been tested to work, this program is provided "as is" with no guarantee. Moreover,
	* it's primary aim is toward simplicity rather than completness. In partical, don't use this as an
	* example to parse csv files at home.
	*/
	import java.nio.ByteBuffer;
	import java.io.*;
	public class ExodusWriter {

	private JdbcTemplate jdbcTemplate;
	private TransactionTemplate transactionTemplate;

	public ExodusWriter(DataSource dataSource) {
	DataSourceTransactionManager transactionManager = new DataSourceTransactionManager(dataSource);
	jdbcTemplate = new JdbcTemplate(transactionManager.getDataSource());
	transactionTemplate = new TransactionTemplate(transactionManager);
	}
	<!DOCTYPE html>
	<html>

	<head>
	<link rel="stylesheet" href="http://ajax.googleapis.com/ajax/libs/dojo/1.10.3/dijit/themes/claro/claro.css">
	<script type="text/javascript">
	dojoConfig = {
	parseOnLoad: true
	};
	</script>
	var libxmljs = require('libxmljs');

	var XMLHttpRequest = require('xmlhttprequest').XMLHttpRequest;
	var xmlhttp1 = new XMLHttpRequest();
	xmlhttp1.open('GET','http://www.telegraphindia.com/feeds/rss.jsp?id=3',false);
	xmlhttp1.send();
	var responseXML = xmlhttp1.responseText;

	var xmldoc = libxmljs.parseXmlString(responseXML);
	var title = xmldoc.find('//title');