My (less rigorous) findings were on a Windows 10 machine with a GVim 9.0.1677 that I built myself, but didn't tweak to optimise beforehand. (Stock 64-bit GUI build with Python enabled, built using Ming)
Salman
On Thu, Aug 31, 2023, 15:03 Lifepillar <lifepillar@lifepillar.me> wrote:
On 2023-08-31, Salman Halim <salmanhalim@gmail.com> wrote:
> On Wed, Aug 30, 2023 at 5:25 PM Lifepillar <lifepillar@lifepillar.me> wrote:
>> For a more apples-to-apples comparison, below is the execution time of
>> `libcolor.Neighbours()` from my libcolor library,³ which is a literal
>> translation of a legacy colortemplate#colorspace#k_neighbours() from
>> Colortemplate v2:
>>
>> k | Legacy Vim script | Vim 9 script
>> ---|-------------------|-------------
>> 1 | 73.8 ms | 5.1 ms
>> 10 | 648.4 ms | 42.9 ms
>> 20 | 1164.1 ms | 97.7 ms
>>
>> The advantage of Vim 9 script is very significant. The benchmarking code
>> is at the end of this message for reference.
>>
>
> This is between 11 to 15+ times faster. Interestingly, running it 20 times
> reduced the advantage slightly. Just an anomaly where the CPU started doing
> something else, d'you suppose?
That k is an argument of the function (the function finds the k colors
that are most similar to a given color). Each reported figure is an
average of ten executions. I have not reported (and not computed)
confidence intervals, so 11–15x may just be within noise limits.
Interestingly, I ran those benchmarks on a version of Vim compiled by
myself. If I use my system's Vim I get better results:
k | Legacy Vim script | Vim 9 script
---|-------------------|-------------
1 | 33.1 ms | 4.0 ms
10 | 283.9 ms | 20.7 ms
20 | 512.8 ms | 51.0 ms
The gap narrows a bit: Vim 9 script is 8–10x faster. Still quite a lot.
Now, I have to find out how to optimize my custom build...
Life.
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