fix: update regexp UDFs to new CometUDF.evaluate(inputs, numRows) signature

PR #4306 added a numRows parameter to CometUDF.evaluate; merging main
into this branch brought in the trait change but the six regexp UDF
implementations still used the old single-argument signature, breaking
comet-common compilation across all Spark profiles.

Author: andygrove

common/src/main/scala/org/apache/comet/udf/RegExpExtractAllUDF.scala

@@ -46,7 +46,7 @@ class RegExpExtractAllUDF extends CometUDF {
 
   private val patternCache = new ConcurrentHashMap[String, Pattern]()
 
-  override def evaluate(inputs: Array[ValueVector]): ValueVector = {
+  override def evaluate(inputs: Array[ValueVector], numRows: Int): ValueVector = {
     require(inputs.length == 3, s"RegExpExtractAllUDF expects 3 inputs, got ${inputs.length}")
     val subject = inputs(0).asInstanceOf[VarCharVector]
     val patternVec = inputs(1).asInstanceOf[VarCharVector]

common/src/main/scala/org/apache/comet/udf/RegExpExtractUDF.scala

@@ -44,7 +44,7 @@ class RegExpExtractUDF extends CometUDF {
 
   private val patternCache = new ConcurrentHashMap[String, Pattern]()
 
-  override def evaluate(inputs: Array[ValueVector]): ValueVector = {
+  override def evaluate(inputs: Array[ValueVector], numRows: Int): ValueVector = {
     require(inputs.length == 3, s"RegExpExtractUDF expects 3 inputs, got ${inputs.length}")
     val subject = inputs(0).asInstanceOf[VarCharVector]
     val patternVec = inputs(1).asInstanceOf[VarCharVector]

common/src/main/scala/org/apache/comet/udf/RegExpInStrUDF.scala

@@ -44,7 +44,7 @@ class RegExpInStrUDF extends CometUDF {
 
   private val patternCache = new ConcurrentHashMap[String, Pattern]()
 
-  override def evaluate(inputs: Array[ValueVector]): ValueVector = {
+  override def evaluate(inputs: Array[ValueVector], numRows: Int): ValueVector = {
     require(inputs.length == 3, s"RegExpInStrUDF expects 3 inputs, got ${inputs.length}")
     val subject = inputs(0).asInstanceOf[VarCharVector]
     val patternVec = inputs(1).asInstanceOf[VarCharVector]

common/src/main/scala/org/apache/comet/udf/RegExpLikeUDF.scala

@@ -40,7 +40,7 @@ class RegExpLikeUDF extends CometUDF {
 
   private val patternCache = new ConcurrentHashMap[String, Pattern]()
 
-  override def evaluate(inputs: Array[ValueVector]): ValueVector = {
+  override def evaluate(inputs: Array[ValueVector], numRows: Int): ValueVector = {
     require(inputs.length == 2, s"RegExpLikeUDF expects 2 inputs, got ${inputs.length}")
     val subject = inputs(0).asInstanceOf[VarCharVector]
     val patternVec = inputs(1).asInstanceOf[VarCharVector]

common/src/main/scala/org/apache/comet/udf/RegExpReplaceUDF.scala

@@ -43,7 +43,7 @@ class RegExpReplaceUDF extends CometUDF {
 
   private val patternCache = new ConcurrentHashMap[String, Pattern]()
 
-  override def evaluate(inputs: Array[ValueVector]): ValueVector = {
+  override def evaluate(inputs: Array[ValueVector], numRows: Int): ValueVector = {
     require(inputs.length == 3, s"RegExpReplaceUDF expects 3 inputs, got ${inputs.length}")
     val subject = inputs(0).asInstanceOf[VarCharVector]
     val patternVec = inputs(1).asInstanceOf[VarCharVector]

common/src/main/scala/org/apache/comet/udf/StringSplitUDF.scala

@@ -46,7 +46,7 @@ class StringSplitUDF extends CometUDF {
 
   private val patternCache = new ConcurrentHashMap[String, Pattern]()
 
-  override def evaluate(inputs: Array[ValueVector]): ValueVector = {
+  override def evaluate(inputs: Array[ValueVector], numRows: Int): ValueVector = {
     require(inputs.length == 3, s"StringSplitUDF expects 3 inputs, got ${inputs.length}")
     val subject = inputs(0).asInstanceOf[VarCharVector]
     val patternVec = inputs(1).asInstanceOf[VarCharVector]