Query language fails to call python methods properly with grouped columns

[chipkent]

The query language is not properly calling python functions when columns are grouped. The example below illustrates the problem. Array values seem to be expanded and passed in as separate arguments, instead of being passed in as a single array argument.

from deephaven import time_table

t1 = time_table("00:00:01").update(["TimeBin = upperBin(Timestamp, '00:00:03')", "Person = random() > 0.5 ? `A` : random() > 0.5 ? `B` : `C`"])

t2 = t1 \
    .drop_columns("Timestamp") \
    .select_distinct(["TimeBin", "Person"]) \
    .sort(["TimeBin", "Person"]) \
    .group_by("TimeBin")

# single positional argument
def make_pairs_1(a):
    return 1

# take any inputs as an array
def make_pairs_2(*a):
    return 2

# works
x11 = t1.update("Pair=(int)make_pairs_1(Person)")
# works
x12 = t1.update("Pair=(int)make_pairs_2(Person)")
# fails
x21 = t2.update("Pair=(int)make_pairs_1(Person)")
# works
x22 = t2.update("Pair=(int)make_pairs_2(Person)")