[BUG] test_coalesce fails with DATAGEN_SEED=1698940723

[abellina]

 SPARK_RAPIDS_TEST_DATAGEN_SEED=1698940723 ./run_pyspark_from_build.sh -k test_coalesce\ and\ Double\ and\ not_null

CPU fails with duplicate key. Note that I tried setting mapKeyDedupPolicy=LAST_WIN and the test passes.

2023-11-02T17:07:56.059Z] ^[[1m^[[31mE                   : java.lang.RuntimeException: Duplicate map key NaN was found, please check the input data. If you want to remove the duplicated keys, you can set spark.sql.mapKeyDedupPolicy to LAST_WIN so that the key inserted at last takes precedence.^[[0m
[2023-11-02T17:07:56.059Z] ^[[1m^[[31mE                     at org.apache.spark.sql.catalyst.util.ArrayBasedMapBuilder.put(ArrayBasedMapBuilder.scala:72)^[[0m
[2023-11-02T17:07:56.059Z] ^[[1m^[[31mE                     at org.apache.spark.sql.catalyst.expressions.CreateMap.eval(complexTypeCreator.scala:229)^[[0m
[2023-11-02T17:07:56.059Z] ^[[1m^[[31mE                     at org.apache.spark.sql.catalyst.optimizer.ConstantFolding$$anonfun$apply$1$$anonfun$applyOrElse$1.applyOrElse(expressions.scala:66)^[[0m
[2023-11-02T17:07:56.059Z] ^[[1m^[[31mE                     at org.apache.spark.sql.catalyst.optimizer.ConstantFolding$$anonfun$apply$1$$anonfun$applyOrElse$1.applyOrElse(expressions.scala:54)^[[0m
[2023-11-02T17:07:56.059Z] ^[[1m^[[31mE                     at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDown$1(TreeNode.scala:317)^[[0m
[2023-11-02T17:07:56.059Z] ^[[1m^[[31mE                     at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:73)^[[0m
[2023-11-02T17:07:56.059Z] ^[[1m^[[31mE                     at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:317)^[[0m
[2023-11-02T17:07:56.059Z] ^[[1m^[[31mE                     at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDown$3(TreeNode.scala:322)^[[0m
[2023-11-02T17:07:56.059Z] ^[[1m^[[31mE                     at org.apache.spark.sql.catalyst.trees.TreeNode.mapChild$2(TreeNode.scala:376)^[[0m
[2023-11-02T17:07:56.059Z] ^[[1m^[[31mE                     at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$mapChildren$4(TreeNode.scala:437)^[[0m
[2023-11-02T17:07:56.059Z] ^[[1m^[[31mE                     at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238)^[[0m
[2023-11-02T17:07:56.059Z] ^[[1m^[[31mE                     at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)^[[0m
[2023-11-02T17:07:56.059Z] ^[[1m^[[31mE                     at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)^[[0m
[2023-11-02T17:07:56.059Z] ^[[1m^[[31mE                     at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)^[[0m
[2023-11-02T17:07:56.059Z] ^[[1m^[[31mE                     at scala.collection.TraversableLike.map(TraversableLike.scala:238)^[[0m
[2023-11-02T17:07:56.059Z] ^[[1m^[[31mE                     at scala.collection.TraversableLike.map$(TraversableLike.scala:231)^[[0m
[2023-11-02T17:07:56.059Z] ^[[1m^[[31mE                     at scala.collection.AbstractTraversable.map(Traversable.scala:108)^[[0m
[2023-11-02T17:07:56.059Z] ^[[1m^[[31mE                     at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$mapChildren$1(TreeNode.scala:437)^[[0m
[2023-11-02T17:07:56.059Z] ^[[1m^[[31mE                     at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:243)^[[0m
[2023-11-02T17:07:56.059Z] ^[[1m^[[31mE                     at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:405)^[[0m
[2023-11-02T17:07:56.059Z] ^[[1m^[[31mE                     at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:358)^[[0m
[2023-11-02T17:07:56.059Z] ^[[1m^[[31mE                     at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:322)^[[0m
[2023-11-02T17:07:56.059Z] ^[[1m^[[31mE                     at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDown$3(TreeNode.scala:322)^[[0m
[2023-11-02T17:07:56.059Z] ^[[1m^[[31mE                     at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$mapChildren$1(TreeNode.scala:407)^[[0m