Query Discrepancy in Postgres HLL Test

[developerayuva]

I have encountered an unexpected behavior while executing query from cumulative_add_sparse_edge.sql regress test.
The given test run from data file cumulative_add_sparse_edge.csv.
Since every rows hll value is calculated by using previous hll value and current raw value, I tried to run them manually and getting unexpected results. I used second last hll value to generate last row's hll values as given below

select hll_add('\x148B481002108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421080000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000002',hll_hashval(2561));

hll_add
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\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

But according to the cumulative_add_sparse_edge.csv file the generated value must be

 \x148B481002108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084210842108421084000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000002

I am using postgres version

postgres=> select version();
                                                   version                                                   
-------------------------------------------------------------------------------------------------------------
 PostgreSQL 16.1 on aarch64-unknown-linux-gnu, compiled by aarch64-unknown-linux-gnu-gcc (GCC) 9.5.0, 64-bit

Can someone help me out here? Is this an issue or some precision error, and if not an issue then how to get correct values which is present in .csv file