• Hello World 200 MB ?
• discoverability of functions:
object.fun<tab> => fun(object) in REPL / IDE?
julia> using StaticTools, StaticCompiler
julia> hello_world() = printf(c"Hello World\n")
hello_world (generic function with 1 method)
julia> compile_executable(hello_world, (), "./")
"~/hello_world"
shell> ./hello_world
Hello World
shell> du -h hello_world
16K hello_world
For discovering methods you can do
julia> ?("hello", 1, 2.0)[TAB]
broadcast(f, x::Number...) @ Base.Broadcast broadcast.jl:844
readuntil(filename::AbstractString, args...; kw...) @ Base io.jl:520
...
I think for the most part this is solved. It works very well and has good integration with VS Code:
julia> integrator.<tab>
EEst accept_step alg cache
callback_cache differential_vars do_error_check dt dtacc ...
julia> ODEProblem(<tab>
ODEProblem(f::SciMLBase.AbstractODEFunction, u0, tspan, args...; kwargs...) @ SciMLBase C:\Users\accou\.julia\dev\SciMLBase\src\problems\ode_problems.jl:183
ODEProblem(sys::ModelingToolkit.AbstractODESystem, args...; kwargs...) @ ModelingToolkit C:\Users\accou\.julia\packages\ModelingToolkit\arrCl\src\systems\diffeqs\abstractodesystem.jl:911
ODEProblem(f, u0, tspan; ...) @ SciMLBase C:\Users\accou\.julia\dev\SciMLBase\src\problems\ode_problems.jl:187
ODEProblem(f, u0, tspan, p; kwargs...) @ SciMLBase C:\Users\accou\.julia\dev\SciMLBase\src\problems\ode_problems.jl:187
Not quite. There's a bunch of knobs you can use to get small binaries (I use this for industrial deployments often), but Jeff Bezanson gave a really nice talk at JuliaCon Local Eindhoven 2023 that described the reasons for the large binaries, what the memory is actually attributed to, and what to do about it (https://youtu.be/kNslvU3WD4M?si=hwo9AgXthNpiQ3-P). With the "normal options" you get to about 15MB now, still bad but not half as bad. The vast majority of that is the base system image. Jeff's talk then goes into the next steps with reducing the size of that base system image.
julia> x="hi" "hi"
julia> x.<tab>
nothing!
julia> propertynames(x)
()
If what you're trying to do is instead discover functions which are compatible with a given signature, you can use what is described in the other post:
julia> ?("hello", 1, 2.0)[TAB]
broadcast(f, x::Number...) @ Base.Broadcast broadcast.jl:844
readuntil(filename::AbstractString, args...; kw...) @ Base io.jl:520
...