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julia>@time_importsusing SBML
2.5 ms Zlib_jll
3.1 ms Libiconv_jll
1.8 ms XML2_jll
63.9 ms SBML_jll
1.9 ms DocStringExtensions
10.9 ms IfElse
8.6 ms ConstructionBase
832.3 ms Unitful
160.4 ms SBML
Hi, yeah this is very true and actually one of the reason I had to remove symbolics (the overhead of these was just too much). If there's some straightforward and reliable way to make unitful load on demand, let's do it. We could even push Unitful to a separate package (UnitfulSBML.jl? :D ), but l'd still prefer something that leaves the repo in one piece.
Btw, how does the Julia1.9 precompilation speedup affect unitful? Wouldn't there be some opportunity to massively fix the load times by fixing methods, like as happened with JuMP?
just for the record, with julia 1.11 we're at this:
julia> @time_imports using SBML
0.6 ms Printf
26.4 ms Dates
0.7 ms TOML
12.5 ms Preferences
0.5 ms JLLWrappers
┌ 0.1 ms Zlib_jll.__init__()
142.2 ms Zlib_jll 97.45% compilation time
┌ 5.2 ms Libiconv_jll.__init__() 92.35% compilation time
5.8 ms Libiconv_jll 83.70% compilation time
┌ 0.4 ms XML2_jll.__init__()
1.0 ms XML2_jll
┌ 7.1 ms SBML_jll.__init__()
7.5 ms SBML_jll
┌ 0.0 ms NetworkOptions.__init__()
3.4 ms NetworkOptions
┌ 0.7 ms MbedTLS_jll.__init__()
4.8 ms MbedTLS_jll
┌ 0.2 ms LibSSH2_jll.__init__()
4.2 ms LibSSH2_jll
┌ 0.3 ms LibGit2_jll.__init__()
4.1 ms LibGit2_jll
11.3 ms LibGit2
┌ 0.0 ms DocStringExtensions.__init__()
1.1 ms DocStringExtensions
0.1 ms IfElse
┌ 1.3 ms SuiteSparse_jll.__init__()
4.5 ms SuiteSparse_jll
1.1 ms Serialization
┌ 10.4 ms SparseArrays.CHOLMOD.__init__() 94.56% compilation time
183.4 ms SparseArrays 5.34% compilation time
201.7 ms Unitful
46.3 ms SBML
I think unitful code might eventually get somehow virtualized out.
I usually don't use the Unitful stuff, so maybe it would be a good candidate for https://pkgdocs.julialang.org/dev/creating-packages/#Weak-dependencies
this is off the cuff, no urgency
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