[BUG] hash aggregate test failures due to type conversion errors

[jlowe]

Last night's tests failed in hash_aggregate_test due to many tests failing with an error similar to this:

[2024-01-24T14:38:42.377Z] �[31mFAILED�[0m ../../src/main/python/hash_aggregate_test.py::�[1mtest_hash_multiple_filters[{'spark.rapids.sql.variableFloatAgg.enabled': 'true', 'spark.rapids.sql.castStringToFloat.enabled': 'true'}-[('a', RepeatSeq(Short)), ('b', Decimal(12,2)), ('c', Decimal(12,2))]][DATAGEN_SEED=1706101679, IGNORE_ORDER, INCOMPAT, APPROXIMATE_FLOAT, ALLOW_NON_GPU(HashAggregateExec,AggregateExpression,UnscaledValue,MakeDecimal,AttributeReference,Alias,Sum,Count,Max,Min,Average,Cast,StddevPop,StddevSamp,VariancePop,VarianceSamp,NormalizeNaNAndZero,GreaterThan,Literal,If,EqualTo,First,SortAggregateExec,Coalesce,IsNull,EqualNullSafe,PivotFirst,GetArrayItem,ShuffleExchangeExec,HashPartitioning)]�[0m - py4j.protocol.Py4JJavaError: An error occurred while calling o410972.collectToPython.
[2024-01-24T14:38:42.377Z] : org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 8516.0 failed 1 times, most recent failure: Lost task 0.0 in stage 8516.0 (TID 16243) (100.103.204.113 executor 0): java.lang.AssertionError: Type conversion is not allowed from Table{columns=[ColumnVector{rows=48, type=INT16, nullCount=Optional.empty, offHeap=(ID: 4641795 7f3abd2103f0)}, ColumnVector{rows=48, type=INT32, nullCount=Optional.empty, offHeap=(ID: 4641796 7f3ab605d8e0)}, ColumnVector{rows=48, type=INT32, nullCount=Optional.empty, offHeap=(ID: 4641797 7f3ab78ee6a0)}, ColumnVector{rows=48, type=UINT64, nullCount=Optional.empty, offHeap=(ID: 4641798 7f3b2d67a520)}, ColumnVector{rows=48, type=UINT64, nullCount=Optional.empty, offHeap=(ID: 4641799 7f3ab6063460)}, ColumnVector{rows=48, type=UINT64, nullCount=Optional.empty, offHeap=(ID: 4641800 7f3b309626b0)}, ColumnVector{rows=48, type=INT64, nullCount=Optional.empty, offHeap=(ID: 4641801 7f3ab6e5f910)}, ColumnVector{rows=48, type=INT64, nullCount=Optional.empty, offHeap=(ID: 4641802 7f3ab734d560)}, ColumnVector{rows=48, type=INT16, nullCount=Optional.empty, offHeap=(ID: 4641803 7f3ab7648e80)}, ColumnVector{rows=48, type=DECIMAL64 scale:-2, nullCount=Optional.empty, offHeap=(ID: 4641804 7f3ab7727ad0)}], cudfTable=139892686375040, rows=48} to [ShortType, IntegerType, IntegerType, LongType, LongType, LongType, LongType, LongType, ShortType, DecimalType(12,2)] columns 0 to 10

[jlowe]

Appears to be related to rapidsai/cudf#14679