overloooked cleanup

core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala

@@ -286,7 +286,6 @@ private[spark] class TaskSchedulerImpl(
     return launchedTask
   }
 
-
   /**
    * Called by cluster manager to offer resources on slaves. We respond by asking our active task
    * sets for tasks in order of priority. We fill each node with tasks in a round-robin manner so

core/src/main/scala/org/apache/spark/scheduler/TaskSetManager.scala

@@ -575,7 +575,6 @@ private[spark] class TaskSetManager(
     index
   }
 
-
   /**
    * Check whether the given task set has been blacklisted to the point that it can't run anywhere.
    *

core/src/test/scala/org/apache/spark/scheduler/TaskSchedulerImplSuite.scala

@@ -96,12 +96,6 @@ class TaskSchedulerImplSuite extends SparkFunSuite with LocalSparkContext with B
   test("Scheduler correctly accounts for multiple CPUs per task") {
     val taskCpus = 2
     val taskScheduler = setupScheduler("spark.task.cpus" -> taskCpus.toString)
-    taskScheduler.initialize(new FakeSchedulerBackend)
-    // Need to initialize a DAGScheduler for the taskScheduler to use for callbacks.
-    new DAGScheduler(sc, taskScheduler) {
-      override def taskStarted(task: Task[_], taskInfo: TaskInfo) {}
-      override def executorAdded(execId: String, host: String) {}
-    }
     // Give zero core offers. Should not generate any tasks
     val zeroCoreWorkerOffers = Seq(new WorkerOffer("executor0", "host0", 0),
       new WorkerOffer("executor1", "host1", 0))