I have a couple of org-tables one of which is much larger than the other.
Before coming across you library I asked chatgpt to write a function for estimating elisp object sizes,
and it came up with this: https://gist.github.com/vapniks/542a3c642e6fa459d7ed3e719d9aabf7
In the table below I've listed the table dimensions, and the results returned by the chatgpt generated function and caliper-object-size:
table 1
table 2
ratio (table1/table2)
num dlines
38
59
0.644
num hlines
0
20
0
num columns
2
27
0.074
width in chars
105
262
0.401
total displayed chars
3990
20698
0.193
estimate-list-size
2930
16988
0.172
caliper-object-size
9469875
9543694
0.9923
My question is; why are the results of caliper-object-size so wildly different to those of estimate-list-size, especially the final column?
I have a couple of org-tables one of which is much larger than the other. Before coming across you library I asked chatgpt to write a function for estimating elisp object sizes, and it came up with this: https://gist.github.com/vapniks/542a3c642e6fa459d7ed3e719d9aabf7 In the table below I've listed the table dimensions, and the results returned by the chatgpt generated function and
caliper-object-size
:My question is; why are the results of
caliper-object-size
so wildly different to those ofestimate-list-size
, especially the final column?