Aggregate function with over clause handled incorrectly

[rogalski]

MCVE in Snowflake:

CREATE OR REPLACE TEMPORARY TABLE TEST (ID BIGINT, COL VARCHAR, ANOTHER VARCHAR);
INSERT INTO TEST (ID, COL, ANOTHER) VALUES (1, 's1', 'c1'),(1, 's2', 'c1'), (1, 's3', 'c1'), (2, 's1', 'c2'), (2,'s2','c2');

SELECT DISTINCT
    ID
    , ANOTHER
    , ARRAY_AGG(DISTINCT COL) OVER(PARTITION BY ID) AS COLS
FROM TEST;

ID	ANOTHER	COLS
1	c1	[ "s1", "s2", "s3" ]
2	c2	[ "s1", "s2" ]

MCVE in fakesnow:

import fakesnow
import snowflake.connector

def main():
    with fakesnow.patch():
        conn = snowflake.connector.connect(database="X", schema="Y")
        conn.execute_string("CREATE OR REPLACE TEMPORARY TABLE TEST (ID BIGINT, COL VARCHAR, ANOTHER VARCHAR)")
        conn.execute_string("INSERT INTO TEST (ID, COL, ANOTHER) VALUES (1, 's1', 'c1'),(1, 's2', 'c1'),(1, 's3', 'c1'),(2, 's1', 'c2'), (2,'s2','c2')")
        conn.cursor().execute("""
        SELECT DISTINCT
            ID
            , ANOTHER
            , ARRAY_AGG(DISTINCT COL) OVER(PARTITION BY ID) AS COLS
        FROM TEST;
        """).fetchall()

if __name__ == "__main__":
    main()

Error:

$ FAKESNOW_DEBUG=1 python3 standalone.py 

CREATE OR REPLACE TEMPORARY TABLE TEST (ID BIGINT, COL TEXT, ANOTHER TEXT);
INSERT INTO TEST (ID, COL, ANOTHER) VALUES (1, 's1', 'c1'), (1, 's2', 'c1'), (1, 's3', 'c1'), (2, 's1', 'c2'), (2, 's2', 'c2');
SELECT DISTINCT ID, ANOTHER, TO_JSON(ARRAY_AGG(DISTINCT COL)) OVER (PARTITION BY ID) AS COLS FROM TEST;
Traceback (most recent call last):
[...]
    raise snowflake.connector.errors.ProgrammingError(msg=msg, errno=2003, sqlstate="42S02") from None
snowflake.connector.errors.ProgrammingError: 002003 (42S02): Catalog Error: to_json is not an aggregate function

Version:

$ pip freeze | grep snow
fakesnow==0.9.12
snowflake-connector-python==3.2.1
snowflake-sqlalchemy==1.5.0

[rogalski]

Arguably SQL example is an edge case.