[ psql - review request ] review request for \d+ tablename, \d+ indexname indenting

The existing partition table list is printed in this format.
-- Current Partition Table List

postgres=# \d+ p_quarter_check
                                     Partitioned table "public.p_quarter_check"
 Column |         Type          | Collation | Nullable | Default | Storage  | Compression | Stats target | Description
--------+-----------------------+-----------+----------+---------+----------+-------------+--------------+-------------
 id     | integer               |           | not null |         | plain    |             |              |
 dept   | character varying(10) |           |          |         | extended |             |              |
 name   | character varying(20) |           |          |         | extended |             |              |
 in_d   | date                  |           | not null |         | plain    |             |              |
 etc    | text                  |           |          |         | extended |             |              |
Partition key: RANGE (in_d)
Indexes:
    "parent_idx01" btree (id)
Partitions: in_p_q1 FOR VALUES FROM ('2023-01-01') TO ('2023-04-01'), PARTITIONED,
            in_p_q2 FOR VALUES FROM ('2023-04-01') TO ('2023-07-01'), PARTITIONED,
            in_p_q3 FOR VALUES FROM ('2023-07-01') TO ('2023-10-01'), PARTITIONED,
            in_p_q4 FOR VALUES FROM ('2023-10-01') TO ('2024-01-01'), PARTITIONED

It doesn't matter in the normal partition structure, but I felt uncomfortable looking up the list when there were additional subpartitions.
So to improve this inconvenience, I wrote an SQL query to query the partition table and partition index in the format below when querying the partition table and partition index in psql.

-- After Patch Partition Table List
postgres=# \d+ p_quarter_check
                                      Partitioned table "public.p_quarter_check"
 Column |         Type          | Collation | Nullable | Default | Storage  | Compression | Stats target | Description
--------+-----------------------+-----------+----------+---------+----------+-------------+--------------+-------------
 id     | integer               |           | not null |         | plain    |             |              |
 dept   | character varying(10) |           |          |         | extended |             |              |
 name   | character varying(20) |           |          |         | extended |             |              |
 in_d   | date                  |           | not null |         | plain    |             |              |
 etc    | text                  |           |          |         | extended |             |              |
Partition key: RANGE (in_d)
Indexes:
    "parent_idx01" btree (id)
Partitions: in_p_q1 FOR VALUES FROM ('2023-01-01') TO ('2023-04-01'), PARTITIONED,
                in_p_y202301 FOR VALUES FROM ('2023-01-01') TO ('2023-02-01'),
                in_p_y202302 FOR VALUES FROM ('2023-02-01') TO ('2023-03-01'),
                in_p_y202303 FOR VALUES FROM ('2023-03-01') TO ('2023-04-01'),
            in_p_q2 FOR VALUES FROM ('2023-04-01') TO ('2023-07-01'), PARTITIONED,
                in_p_y202304 FOR VALUES FROM ('2023-04-01') TO ('2023-05-01'),
                in_p_y202305 FOR VALUES FROM ('2023-05-01') TO ('2023-06-01'),
                in_p_y202306 FOR VALUES FROM ('2023-06-01') TO ('2023-07-01'),
            in_p_q3 FOR VALUES FROM ('2023-07-01') TO ('2023-10-01'), PARTITIONED,
                in_p_y202307 FOR VALUES FROM ('2023-07-01') TO ('2023-08-01'),
                in_p_y202308 FOR VALUES FROM ('2023-08-01') TO ('2023-09-01'),
                in_p_y202309 FOR VALUES FROM ('2023-09-01') TO ('2023-10-01'),
            in_p_q4 FOR VALUES FROM ('2023-10-01') TO ('2024-01-01'), PARTITIONED,
                in_p_y202310 FOR VALUES FROM ('2023-10-01') TO ('2023-11-01'),
                in_p_y202311 FOR VALUES FROM ('2023-11-01') TO ('2023-12-01'),
                in_p_y202312 FOR VALUES FROM ('2023-12-01') TO ('2024-01-01')

Partition Index also wrote the SQL syntax so that you can look up the list with an intuitive structure.
--Current Partition Index
postgres=# \d+ parent_idx01
           Partitioned index "public.parent_idx01"
 Column |  Type   | Key? | Definition | Storage | Stats target
--------+---------+------+------------+---------+--------------
 id     | integer | yes  | id         | plain   |
btree, for table "public.p_quarter_check"
Partitions: in_p_q1_id_idx, PARTITIONED,
            in_p_q2_id_idx, PARTITIONED,
            in_p_q3_id_idx, PARTITIONED,
            in_p_q4_id_idx, PARTITIONED
Access method: btree

-- After Patch  Partition Index
postgres=# \d+ parent_idx01
            Partitioned index "public.parent_idx01"
 Column |  Type   | Key? | Definition | Storage | Stats target
--------+---------+------+------------+---------+--------------
 id     | integer | yes  | id         | plain   |
btree, for table "public.p_quarter_check"
Partitions: in_p_q1_id_idx, PARTITIONED,
                in_p_y202301_id_idx,
                in_p_y202302_id_idx,
                in_p_y202303_id_idx,
            in_p_q2_id_idx, PARTITIONED,
                in_p_y202304_id_idx,
                in_p_y202305_id_idx,
                in_p_y202306_id_idx,
            in_p_q3_id_idx, PARTITIONED,
                in_p_y202307_id_idx,
                in_p_y202308_id_idx,
                in_p_y202309_id_idx,
            in_p_q4_id_idx, PARTITIONED,
                in_p_y202310_id_idx,
                in_p_y202311_id_idx,
                in_p_y202312_id_idx
Access method: btree

I attached the queries used to create the partition and the queries I wrote to look up the list to the mail.
This is the patch applied to line 3370 of the 'describe.c' source file.
Based on this SQL syntax and patch file, I would like you to review the query \d+ Partition_table_name and \d+ Partition_index_name so that the SQL is reflected.

If you are not asking for a review in this way, please let me know how to proceed.
Please give me a positive answer and I will wait for your feedback.
Have a nice day.

From  Query Tricks / Hyunhee Ryu.