Fix scalastyle

Author: mccheah

core/src/main/scala/org/apache/spark/scheduler/cluster/SchedulerBackendUtils.scala

@@ -24,10 +24,10 @@ private[spark] object SchedulerBackendUtils {
   val DEFAULT_NUMBER_EXECUTORS = 2
 
   /**
-    * Getting the initial target number of executors depends on whether dynamic allocation is
-    * enabled.
-    * If not using dynamic allocation it gets the number of executors requested by the user.
-    */
+   * Getting the initial target number of executors depends on whether dynamic allocation is
+   * enabled.
+   * If not using dynamic allocation it gets the number of executors requested by the user.
+   */
   def getInitialTargetExecutorNumber(
       conf: SparkConf,
       numExecutors: Int = DEFAULT_NUMBER_EXECUTORS): Int = {

resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocator.scala

@@ -22,14 +22,14 @@ import java.util.concurrent._
 import java.util.concurrent.atomic.AtomicInteger
 import java.util.regex.Pattern
 
-import scala.collection.JavaConverters._
-import scala.collection.mutable
-import scala.collection.mutable.{ArrayBuffer, HashMap, HashSet, Queue}
-import scala.util.control.NonFatal
 import org.apache.hadoop.yarn.api.records._
 import org.apache.hadoop.yarn.client.api.AMRMClient
 import org.apache.hadoop.yarn.client.api.AMRMClient.ContainerRequest
 import org.apache.hadoop.yarn.conf.YarnConfiguration
+import scala.collection.JavaConverters._
+import scala.collection.mutable
+import scala.collection.mutable.{ArrayBuffer, HashMap, HashSet, Queue}
+import scala.util.control.NonFatal
 
 import org.apache.spark.{SecurityManager, SparkConf, SparkException}
 import org.apache.spark.deploy.yarn.YarnSparkHadoopUtil._