Remove old Spark 3.5 shim sources

Signed-off-by: Gera Shegalov <gshegalov@nvidia.com>

Author: gerashegalov

sql-plugin/src/main/spark350/scala/com/nvidia/spark/rapids/shims/LegacyBehaviorPolicyShim.scala

@@ -33,13 +33,13 @@
 spark-rapids-shim-json-lines ***/
 package com.nvidia.spark.rapids.shims
 
-import org.apache.spark.sql.internal.{LegacyBehaviorPolicy, SQLConf}
+import org.apache.spark.sql.internal.SQLConf
 
 object LegacyBehaviorPolicyShim {
-  val CORRECTED_STR: String = LegacyBehaviorPolicy.CORRECTED.toString
-  val EXCEPTION_STR: String = LegacyBehaviorPolicy.EXCEPTION.toString
+  val CORRECTED_STR: String = "CORRECTED"
+  val EXCEPTION_STR: String = "EXCEPTION"
 
   def isLegacyTimeParserPolicy(): Boolean = {
-    SQLConf.get.legacyTimeParserPolicy == LegacyBehaviorPolicy.LEGACY
+    SQLConf.get.legacyTimeParserPolicy.toString == "LEGACY"
   }
 }

sql-plugin/src/main/spark350/scala/com/nvidia/spark/rapids/shims/NullOutputStreamShim.scala

@@ -33,8 +33,11 @@
 spark-rapids-shim-json-lines ***/
 package com.nvidia.spark.rapids.shims
 
-import org.apache.commons.io.output.NullOutputStream
+import java.io.OutputStream
 
 object NullOutputStreamShim {
-  def INSTANCE = NullOutputStream.INSTANCE
+  val INSTANCE: OutputStream = new OutputStream {
+    override def write(b: Int): Unit = {}
+    override def write(b: Array[Byte], off: Int, len: Int): Unit = {}
+  }
 }

sql-plugin/src/main/spark350/scala/com/nvidia/spark/rapids/shims/Spark350PlusNonDBShims.scala

@@ -130,7 +130,7 @@ trait Spark350PlusNonDBShims extends Spark340PlusNonDBShims {
           // plugin is also an union of all the types of Pandas UDF.
           (TypeSig.commonCudfTypes + TypeSig.ARRAY).nested() + TypeSig.STRUCT,
           TypeSig.unionOfPandasUdfOut,
-          repeatingParamCheck = Some(RepeatingParamCheck(
+          repeatingParamCheck = Some(new RepeatingParamCheck(
             "param",
             (TypeSig.commonCudfTypes + TypeSig.ARRAY + TypeSig.STRUCT).nested(),
             TypeSig.all))),
@@ -150,24 +150,24 @@ trait Spark350PlusNonDBShims extends Spark340PlusNonDBShims {
         ExprChecks.projectOnly(
           TypeSig.all,
           TypeSig.all,
-          Seq(ParamCheck("condition", TypeSig.all, TypeSig.all)),
-          Some(RepeatingParamCheck("outputs", TypeSig.all, TypeSig.all))
+          Seq(new ParamCheck("condition", TypeSig.all, TypeSig.all)),
+          Some(new RepeatingParamCheck("outputs", TypeSig.all, TypeSig.all))
         ),
         (keep, conf, p, r) => new GpuKeepInstructionMeta(keep, conf, p, r)),
       GpuOverrides.expr[Discard](
         "Discard instruction for MERGE operations - discards rows based on condition",
         ExprChecks.projectOnly(
           TypeSig.all,
           TypeSig.all,
-          Seq(ParamCheck("condition", TypeSig.all, TypeSig.all))),
+          Seq(new ParamCheck("condition", TypeSig.all, TypeSig.all))),
         (discard, conf, p, r) => new GpuDiscardInstructionMeta(discard, conf, p, r)),
       GpuOverrides.expr[Split](
         "Split instruction for MERGE operations - splits rows into multiple outputs",
         ExprChecks.projectOnly(
           TypeSig.all,
           TypeSig.all,
-          Seq(ParamCheck("condition", TypeSig.all, TypeSig.all)),
-          Some(RepeatingParamCheck("outputs", TypeSig.all, TypeSig.all))),
+          Seq(new ParamCheck("condition", TypeSig.all, TypeSig.all)),
+          Some(new RepeatingParamCheck("outputs", TypeSig.all, TypeSig.all))),
         (split, conf, p, r) => new GpuSplitInstructionMeta(split, conf, p, r))
     ).map(r => (r.getClassFor.asSubclass(classOf[Expression]), r)).toMap
     super.getExprs ++ shimExprs

sql-plugin/src/main/spark350/scala/com/nvidia/spark/rapids/shims/spark350/SparkShimServiceProvider.scala

@@ -48,15 +48,15 @@ object PythonArgumentUtils {
             (None, e)
         }
         if (allInputs.exists(_.semanticEquals(value))) {
-          GpuArgumentMeta(allInputs.indexWhere(_.semanticEquals(value)), key)
+          new GpuArgumentMeta(allInputs.indexWhere(_.semanticEquals(value)), key)
         } else {
           allInputs += value
           dataTypes += value.dataType
-          GpuArgumentMeta(allInputs.length - 1, key)
+          new GpuArgumentMeta(allInputs.length - 1, key)
         }
       }.toArray
     }.toArray
-    GpuPythonArguments(allInputs.toSeq, dataTypes.toSeq,
+    new GpuPythonArguments(allInputs.toSeq, dataTypes.toSeq,
       argMetas.map(_.map(_.offset)), Some(argMetas.map(_.map(_.name))))
   }
 }