SNOW-1889503: [Local Testing] Group by in empty dataframe adds "phantom" row with NULL group by key

Please answer these questions before submitting your issue. Thanks!

1. What version of Python are you using?

3.11.11

2. What operating system and processor architecture are you using?

Linux-6.8.0-51-generic-x86_64-with-glibc2.39

3. What are the component versions in the environment (pip freeze)?

N/A

4. What did you do?

   Performing a group by on an empty dataframe produces a dataframe with a row where the key is NULL.

Simple reproducible example:

from snowflake.snowpark import Session
from snowflake.snowpark.functions import when_matched, when_not_matched, col, sum

session = Session.builder.config('local_testing', True).create()

df = session.create_dataframe([[1, 5]], schema=['id', 'count'])

df.filter(col("id") > 1).group_by(col("id")).agg(sum(col("count")).alias("count")).show()

5. What did you expect to see?

   An empty DataFrame should be shown.
   However, we obtain the following output:

------------------
|"ID"  |"COUNT"  |
------------------
|NULL  |nan      |
------------------

6. Can you set logging to DEBUG and collect the logs?
   N/A

Start by running the supplied Python reproducer with local_testing enabled, focusing on the group_by and agg operations on the filtered empty dataframe. Done means the result is an empty DataFrame rather than a row containing a NULL group key and NaN aggregate.