Query causes duckdb internal error

[dberardo-com]

What happens?

INTERNAL Error: Attempted to access index 6 within vector of size 6
This error signals an assertion failure within DuckDB. This usually occurs due to unexpected conditions or errors in the program's logic.
For more information, see https://duckdb.org/docs/dev/internal_errors

To Reproduce

download the database from: #161 (comment)
then run:

INSTALL duckpgq FROM community;
LOAD duckpgq;
import database 'access_control_graph';
-- init property graph

create or replace property graph access_control_graph
    VERTEX TABLES (operators label operator, groups label gr, resources label resource)
    EDGE TABLES (parent_of 			SOURCE KEY (groupid1) REFERENCES groups (name)
                         			DESTINATION KEY (groupid2) REFERENCES groups (name),
                 responsible_for 	SOURCE KEY (groupid1) REFERENCES groups (name)
                                 	DESTINATION KEY (groupid2) REFERENCES groups (name),
                 has_permission 	SOURCE KEY (groupid) REFERENCES groups (name)
                    				DESTINATION KEY (resourceid) REFERENCES resources (name),
                 belongs_to	 		SOURCE KEY (operatorid) REFERENCES operators (name)
                    				DESTINATION KEY (groupsid) REFERENCES groups (name));
FROM GRAPH_TABLE (access_control_graph MATCH (op:operator WHERE op.name='Operator1' )-[bt:belongs_to]->(g:gr WHERE g._type='NOP')-[rf:responsible_for]->(plant:gr WHERE plant._type='PLANT') -[hp:has_permission]-> (r:resource));

all good sofar, now run the same query adding {0,6} -->

FROM GRAPH_TABLE (access_control_graph MATCH (op:operator WHERE op.name='Operator1' )-[bt:belongs_to]->{0,6}(g:gr WHERE g._type='NOP')-[rf:responsible_for]->(plant:gr WHERE plant._type='PLANT') -[hp:has_permission]-> (r:resource));

this leads to error

OS:

windows

DuckDB Version:

1.1.0

DuckDB Client:

cli / .exe

Full Name:

db100

Affiliation:

private

How did you load the extension?

Community extension version

Did you include all relevant data sets for reproducing the issue?

No - Other reason (please specify in the issue body)

Did you include all code required to reproduce the issue?

• Yes, I have

Did you include all relevant configuration (e.g., CPU architecture, Python version, Linux distribution) to reproduce the issue?

• Yes, I have