Minor formatting fixes

core/src/main/scala/spark/HadoopWriter.scala

@@ -42,7 +42,7 @@ class HadoopWriter(@transient jobConf: JobConf) extends Logging with Serializabl
     setConfParams()
     
     val jCtxt = getJobContext() 
-    getOutputCommitter().setupJob(jCtxt) 		
+    getOutputCommitter().setupJob(jCtxt)
   }
 
 

core/src/main/scala/spark/scheduler/ShuffleMapTask.scala

@@ -147,7 +147,6 @@ private[spark] class ShuffleMapTask(
       val blockId = "shuffle_" + dep.shuffleId + "_" + partition + "_" + i
       // Get a scala iterator from java map
       val iter: Iterator[(Any, Any)] = bucketIterators(i)
-      // TODO: This should probably be DISK_ONLY
       blockManager.put(blockId, iter, StorageLevel.DISK_ONLY, false)
     }
 

core/src/test/scala/spark/AccumulatorSuite.scala

@@ -119,7 +119,7 @@ class AccumulatorSuite extends FunSuite with ShouldMatchers with BeforeAndAfter
     import SetAccum._
     val maxI = 1000
     for (nThreads <- List(1, 10)) { //test single & multi-threaded
-	  sc = new SparkContext("local[" + nThreads + "]", "test")
+      sc = new SparkContext("local[" + nThreads + "]", "test")
       val acc: Accumulable[mutable.Set[Any], Any] = sc.accumulable(new mutable.HashSet[Any]())
       val groupedInts = (1 to (maxI/20)).map {x => (20 * (x - 1) to 20 * x).toSet}
       val d = sc.parallelize(groupedInts)