Fix format issues.

Author: mbutrovich

spark/src/main/scala/org/apache/comet/rules/CometExecRule.scala

@@ -339,8 +339,8 @@ case class CometExecRule(session: SparkSession)
               }
               if (cometChild.isInstanceOf[CometNativeExec]) {
                 logInfo(
-                  s"Converting SubqueryBroadcastExec to " +
-                    s"CometSubqueryBroadcastExec for DPP exchange reuse")
+                  "Converting SubqueryBroadcastExec to " +
+                    "CometSubqueryBroadcastExec for DPP exchange reuse")
                 val cometBroadcast = CometBroadcastExchangeExec(b, b.output, b.mode, cometChild)
                 val cometSub = CometSubqueryBroadcastExec(
                   sub.name,

spark/src/main/scala/org/apache/spark/sql/comet/CometNativeScanExec.scala

@@ -185,7 +185,7 @@ case class CometNativeScanExec(
         logDebug(s"Resolving DPP subquery: plan=${e.plan.getClass.getSimpleName}")
         try {
           e.updateResult()
-          logDebug(s"DPP subquery resolved successfully")
+          logDebug("DPP subquery resolved successfully")
         } catch {
           case ex: Exception =>
             logError(s"DPP subquery resolution failed: ${ex.getMessage}")
@@ -200,7 +200,7 @@ case class CometNativeScanExec(
       scan.partitionFilters.foreach {
         case DynamicPruningExpression(e: InSubqueryExec) if e.values().isEmpty =>
           logDebug(
-            s"Resolving CometScanExec DPP subquery: " +
+            "Resolving CometScanExec DPP subquery: " +
               s"plan=${e.plan.getClass.getSimpleName}")
           e.updateResult()
         case _ =>

spark/src/main/scala/org/apache/spark/sql/comet/CometSubqueryBroadcastExec.scala

@@ -31,7 +31,7 @@ import org.apache.spark.sql.catalyst.plans.QueryPlan
 import org.apache.spark.sql.comet.util.Utils
 import org.apache.spark.sql.errors.QueryExecutionErrors
 import org.apache.spark.sql.execution._
-import org.apache.spark.sql.execution.metric.SQLMetrics
+import org.apache.spark.sql.execution.metric.{SQLMetric, SQLMetrics}
 import org.apache.spark.sql.internal.{SQLConf, StaticSQLConf}
 import org.apache.spark.util.ThreadUtils
 import org.apache.spark.util.io.ChunkedByteBuffer
@@ -72,7 +72,7 @@ case class CometSubqueryBroadcastExec(
     }
   }
 
-  override lazy val metrics = Map(
+  override lazy val metrics: Map[String, SQLMetric] = Map(
     "numOutputRows" -> SQLMetrics.createMetric(sparkContext, "number of output rows"),
     "dataSize" -> SQLMetrics.createMetric(sparkContext, "data size (bytes)"),
     "collectTime" -> SQLMetrics.createMetric(sparkContext, "time to collect (ms)"))