[jvm-packages] Update scalatest to 3.2.15 (#8925)

---------

Co-authored-by: Jiaming Yuan <jm.yuan@outlook.com>

jvm-packages/pom.xml

@@ -495,13 +495,13 @@
         <dependency>
             <groupId>org.scalatest</groupId>
             <artifactId>scalatest_${scala.binary.version}</artifactId>
-            <version>3.0.8</version>
+            <version>3.2.15</version>
             <scope>test</scope>
         </dependency>
         <dependency>
             <groupId>org.scalactic</groupId>
             <artifactId>scalactic_${scala.binary.version}</artifactId>
-            <version>3.0.8</version>
+            <version>3.2.15</version>
             <scope>test</scope>
         </dependency>
     </dependencies>

jvm-packages/xgboost4j-gpu/pom.xml

@@ -53,7 +53,7 @@
         <dependency>
             <groupId>org.scalatest</groupId>
             <artifactId>scalatest_${scala.binary.version}</artifactId>
-            <version>3.0.5</version>
+            <version>3.2.15</version>
             <scope>provided</scope>
         </dependency>
         <dependency>

jvm-packages/xgboost4j-gpu/src/test/scala/ml/dmlc/xgboost4j/scala/QuantileDMatrixSuite.scala

@@ -19,10 +19,10 @@ package ml.dmlc.xgboost4j.scala
 import scala.collection.mutable.ArrayBuffer
 
 import ai.rapids.cudf.Table
-import org.scalatest.FunSuite
+import org.scalatest.funsuite.AnyFunSuite
 import ml.dmlc.xgboost4j.gpu.java.CudfColumnBatch
 
-class QuantileDMatrixSuite extends FunSuite {
+class QuantileDMatrixSuite extends AnyFunSuite {
 
   test("QuantileDMatrix test") {
 

jvm-packages/xgboost4j-spark-gpu/src/test/scala/ml/dmlc/xgboost4j/scala/rapids/spark/GpuTestSuite.scala

@@ -20,14 +20,15 @@ import java.nio.file.{Files, Path}
 import java.sql.{Date, Timestamp}
 import java.util.{Locale, TimeZone}
 
-import org.scalatest.{BeforeAndAfterAll, FunSuite}
+import org.scalatest.BeforeAndAfterAll
+import org.scalatest.funsuite.AnyFunSuite
 
 import org.apache.spark.{GpuTestUtils, SparkConf}
 import org.apache.spark.internal.Logging
 import org.apache.spark.network.util.JavaUtils
 import org.apache.spark.sql.{Row, SparkSession}
 
-trait GpuTestSuite extends FunSuite with TmpFolderSuite {
+trait GpuTestSuite extends AnyFunSuite with TmpFolderSuite {
   import SparkSessionHolder.withSparkSession
 
   protected def getResourcePath(resource: String): String = {
@@ -200,7 +201,7 @@ trait GpuTestSuite extends FunSuite with TmpFolderSuite {
 
 }
 
-trait TmpFolderSuite extends BeforeAndAfterAll { self: FunSuite =>
+trait TmpFolderSuite extends BeforeAndAfterAll { self: AnyFunSuite =>
   protected var tempDir: Path = _
 
   override def beforeAll(): Unit = {

jvm-packages/xgboost4j-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/CommunicatorRobustnessSuite.scala

@@ -23,9 +23,9 @@ import scala.util.Random
 import ml.dmlc.xgboost4j.java.{Communicator, RabitTracker => PyRabitTracker}
 import ml.dmlc.xgboost4j.java.IRabitTracker.TrackerStatus
 import ml.dmlc.xgboost4j.scala.DMatrix
-import org.scalatest.FunSuite
+import org.scalatest.funsuite.AnyFunSuite
 
-class CommunicatorRobustnessSuite extends FunSuite with PerTest {
+class CommunicatorRobustnessSuite extends AnyFunSuite with PerTest {
 
   private def getXGBoostExecutionParams(paramMap: Map[String, Any]): XGBoostExecutionParams = {
     val classifier = new XGBoostClassifier(paramMap)

jvm-packages/xgboost4j-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/DeterministicPartitioningSuite.scala

@@ -17,13 +17,13 @@
 package ml.dmlc.xgboost4j.scala.spark
 
 import org.apache.spark.ml.linalg.Vectors
-import org.scalatest.FunSuite
+import org.scalatest.funsuite.AnyFunSuite
 import ml.dmlc.xgboost4j.scala.spark.util.DataUtils
 import ml.dmlc.xgboost4j.scala.spark.util.DataUtils.PackedParams
 
 import org.apache.spark.sql.functions._
 
-class DeterministicPartitioningSuite extends FunSuite with TmpFolderPerSuite with PerTest {
+class DeterministicPartitioningSuite extends AnyFunSuite with TmpFolderPerSuite with PerTest {
 
   test("perform deterministic partitioning when checkpointInternal and" +
     " checkpointPath is set (Classifier)") {

jvm-packages/xgboost4j-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/ExternalCheckpointManagerSuite.scala

@@ -19,10 +19,10 @@ package ml.dmlc.xgboost4j.scala.spark
 import java.io.File
 
 import ml.dmlc.xgboost4j.scala.{Booster, DMatrix, ExternalCheckpointManager, XGBoost => SXGBoost}
-import org.scalatest.FunSuite
+import org.scalatest.funsuite.AnyFunSuite
 import org.apache.hadoop.fs.{FileSystem, Path}
 
-class ExternalCheckpointManagerSuite extends FunSuite with TmpFolderPerSuite with PerTest {
+class ExternalCheckpointManagerSuite extends AnyFunSuite with TmpFolderPerSuite with PerTest {
 
   private def produceParamMap(checkpointPath: String, checkpointInterval: Int):
   Map[String, Any] = {

jvm-packages/xgboost4j-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/FeatureSizeValidatingSuite.scala

@@ -18,12 +18,12 @@ package ml.dmlc.xgboost4j.scala.spark
 
 import org.apache.spark.Partitioner
 import org.apache.spark.ml.feature.VectorAssembler
-import org.scalatest.FunSuite
+import org.scalatest.funsuite.AnyFunSuite
 import org.apache.spark.sql.functions._
 
 import scala.util.Random
 
-class FeatureSizeValidatingSuite extends FunSuite with PerTest {
+class FeatureSizeValidatingSuite extends AnyFunSuite with PerTest {
 
   test("transform throwing exception if feature size of dataset is greater than model's") {
     val modelPath = getClass.getResource("/model/0.82/model").getPath

jvm-packages/xgboost4j-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/MissingValueHandlingSuite.scala

@@ -19,12 +19,12 @@ package ml.dmlc.xgboost4j.scala.spark
 import org.apache.spark.ml.feature.VectorAssembler
 import org.apache.spark.ml.linalg.Vectors
 import org.apache.spark.sql.DataFrame
-import org.scalatest.FunSuite
+import org.scalatest.funsuite.AnyFunSuite
 import scala.util.Random
 
 import org.apache.spark.SparkException
 
-class MissingValueHandlingSuite extends FunSuite with PerTest {
+class MissingValueHandlingSuite extends AnyFunSuite with PerTest {
   test("dense vectors containing missing value") {
     def buildDenseDataFrame(): DataFrame = {
       val numRows = 100

jvm-packages/xgboost4j-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/ParameterSuite.scala

@@ -16,12 +16,13 @@
 
 package ml.dmlc.xgboost4j.scala.spark
 
-import org.scalatest.{BeforeAndAfterAll, FunSuite}
+import org.scalatest.BeforeAndAfterAll
+import org.scalatest.funsuite.AnyFunSuite
 
 import org.apache.spark.SparkException
 import org.apache.spark.ml.param.ParamMap
 
-class ParameterSuite extends FunSuite with PerTest with BeforeAndAfterAll {
+class ParameterSuite extends AnyFunSuite with PerTest with BeforeAndAfterAll {
 
   test("XGBoost and Spark parameters synchronize correctly") {
     val xgbParamMap = Map("eta" -> "1", "objective" -> "binary:logistic",

jvm-packages/xgboost4j-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/PerTest.scala

@@ -22,13 +22,14 @@ import ml.dmlc.xgboost4j.{LabeledPoint => XGBLabeledPoint}
 
 import org.apache.spark.SparkContext
 import org.apache.spark.sql._
-import org.scalatest.{BeforeAndAfterEach, FunSuite}
+import org.scalatest.BeforeAndAfterEach
+import org.scalatest.funsuite.AnyFunSuite
 import scala.math.min
 import scala.util.Random
 
 import org.apache.commons.io.IOUtils
 
-trait PerTest extends BeforeAndAfterEach { self: FunSuite =>
+trait PerTest extends BeforeAndAfterEach { self: AnyFunSuite =>
 
   protected val numWorkers: Int = min(Runtime.getRuntime.availableProcessors(), 4)
 

jvm-packages/xgboost4j-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/PersistenceSuite.scala

@@ -25,9 +25,9 @@ import scala.util.Random
 import org.apache.spark.ml.feature._
 import org.apache.spark.ml.{Pipeline, PipelineModel}
 import org.apache.spark.sql.functions._
-import org.scalatest.FunSuite
+import org.scalatest.funsuite.AnyFunSuite
 
-class PersistenceSuite extends FunSuite with TmpFolderPerSuite with PerTest {
+class PersistenceSuite extends AnyFunSuite with TmpFolderPerSuite with PerTest {
 
   test("test persistence of XGBoostClassifier and XGBoostClassificationModel") {
     val eval = new EvalError()

jvm-packages/xgboost4j-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/TmpFolderPerSuite.scala

@@ -19,9 +19,10 @@ package ml.dmlc.xgboost4j.scala.spark
 import java.nio.file.{Files, Path}
 
 import org.apache.spark.network.util.JavaUtils
-import org.scalatest.{BeforeAndAfterAll, FunSuite}
+import org.scalatest.BeforeAndAfterAll
+import org.scalatest.funsuite.AnyFunSuite
 
-trait TmpFolderPerSuite extends BeforeAndAfterAll { self: FunSuite =>
+trait TmpFolderPerSuite extends BeforeAndAfterAll { self: AnyFunSuite =>
   protected var tempDir: Path = _
 
   override def beforeAll(): Unit = {

jvm-packages/xgboost4j-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/XGBoostClassifierSuite.scala

@@ -22,13 +22,13 @@ import ml.dmlc.xgboost4j.scala.{DMatrix, XGBoost => ScalaXGBoost}
 
 import org.apache.spark.ml.linalg._
 import org.apache.spark.sql._
-import org.scalatest.FunSuite
+import org.scalatest.funsuite.AnyFunSuite
 import org.apache.commons.io.IOUtils
 
 import org.apache.spark.Partitioner
 import org.apache.spark.ml.feature.VectorAssembler
 
-class XGBoostClassifierSuite extends FunSuite with PerTest with TmpFolderPerSuite {
+class XGBoostClassifierSuite extends AnyFunSuite with PerTest with TmpFolderPerSuite {
 
   protected val treeMethod: String = "auto"
 

jvm-packages/xgboost4j-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/XGBoostCommunicatorRegressionSuite.scala

@@ -21,11 +21,11 @@ import ml.dmlc.xgboost4j.scala.Booster
 import scala.collection.JavaConverters._
 
 import org.apache.spark.sql._
-import org.scalatest.FunSuite
+import org.scalatest.funsuite.AnyFunSuite
 
 import org.apache.spark.SparkException
 
-class XGBoostCommunicatorRegressionSuite extends FunSuite with PerTest {
+class XGBoostCommunicatorRegressionSuite extends AnyFunSuite with PerTest {
   val predictionErrorMin = 0.00001f
   val maxFailure = 2;
 

jvm-packages/xgboost4j-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/XGBoostConfigureSuite.scala

@@ -19,9 +19,9 @@ package ml.dmlc.xgboost4j.scala.spark
 import ml.dmlc.xgboost4j.scala.{Booster, DMatrix}
 
 import org.apache.spark.sql._
-import org.scalatest.FunSuite
+import org.scalatest.funsuite.AnyFunSuite
 
-class XGBoostConfigureSuite extends FunSuite with PerTest {
+class XGBoostConfigureSuite extends AnyFunSuite with PerTest {
 
   override def sparkSessionBuilder: SparkSession.Builder = super.sparkSessionBuilder
       .config("spark.serializer", "org.apache.spark.serializer.KryoSerializer")

jvm-packages/xgboost4j-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/XGBoostGeneralSuite.scala

@@ -22,12 +22,12 @@ import ml.dmlc.xgboost4j.{LabeledPoint => XGBLabeledPoint}
 import ml.dmlc.xgboost4j.scala.DMatrix
 
 import org.apache.spark.{SparkException, TaskContext}
-import org.scalatest.FunSuite
+import org.scalatest.funsuite.AnyFunSuite
 
 import org.apache.spark.ml.feature.VectorAssembler
 import org.apache.spark.sql.functions.lit
 
-class XGBoostGeneralSuite extends FunSuite with TmpFolderPerSuite with PerTest {
+class XGBoostGeneralSuite extends AnyFunSuite with TmpFolderPerSuite with PerTest {
 
   test("distributed training with the specified worker number") {
     val trainingRDD = sc.parallelize(Classification.train)

jvm-packages/xgboost4j-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/XGBoostRegressorSuite.scala

@@ -23,11 +23,11 @@ import ml.dmlc.xgboost4j.scala.{DMatrix, XGBoost => ScalaXGBoost}
 import org.apache.spark.ml.linalg.{Vector, Vectors}
 import org.apache.spark.sql.functions._
 import org.apache.spark.sql.{DataFrame, Row}
-import org.scalatest.FunSuite
+import org.scalatest.funsuite.AnyFunSuite
 
 import org.apache.spark.ml.feature.VectorAssembler
 
-class XGBoostRegressorSuite extends FunSuite with PerTest with TmpFolderPerSuite {
+class XGBoostRegressorSuite extends AnyFunSuite with PerTest with TmpFolderPerSuite {
   protected val treeMethod: String = "auto"
 
   test("XGBoost-Spark XGBoostRegressor output should match XGBoost4j") {

jvm-packages/xgboost4j-tester/generate_pom.py

@@ -69,7 +69,7 @@
     <dependency>
       <groupId>org.scalactic</groupId>
       <artifactId>scalactic_${{scala.binary.version}}</artifactId>
-      <version>3.0.8</version>
+      <version>3.2.15</version>
       <scope>test</scope>
     </dependency>
     <dependency>

jvm-packages/xgboost4j/pom.xml

@@ -46,7 +46,7 @@
         <dependency>
           <groupId>org.scalatest</groupId>
           <artifactId>scalatest_${scala.binary.version}</artifactId>
-          <version>3.0.5</version>
+          <version>3.2.15</version>
           <scope>provided</scope>
         </dependency>
     </dependencies>

jvm-packages/xgboost4j/src/test/scala/ml/dmlc/xgboost4j/scala/DMatrixSuite.scala

@@ -20,10 +20,10 @@ import java.util.Arrays
 
 import scala.util.Random
 
-import org.scalatest.FunSuite
+import org.scalatest.funsuite.AnyFunSuite
 import ml.dmlc.xgboost4j.java.{DMatrix => JDMatrix}
 
-class DMatrixSuite extends FunSuite {
+class DMatrixSuite extends AnyFunSuite {
   test("create DMatrix from File") {
     val dmat = new DMatrix("../../demo/data/agaricus.txt.test")
     // get label

jvm-packages/xgboost4j/src/test/scala/ml/dmlc/xgboost4j/scala/ScalaBoosterImplSuite.scala

@@ -20,11 +20,11 @@ import java.io.{FileOutputStream, FileInputStream, File}
 
 import junit.framework.TestCase
 import org.apache.commons.logging.LogFactory
-import org.scalatest.FunSuite
+import org.scalatest.funsuite.AnyFunSuite
 
 import ml.dmlc.xgboost4j.java.XGBoostError
 
-class ScalaBoosterImplSuite extends FunSuite {
+class ScalaBoosterImplSuite extends AnyFunSuite {
 
   private class EvalError extends EvalTrait {