I made a dictionary to store some inputs to a function, see below data = Dict() data["total_time"] = 0.3 data["time"] = 0. data["dt"] = 1e-3 function f(data) Tf = Float64(data["total_time"]) dtime = Float64(data["dt"] ) …

%3 = Base.getindex(data, "dt")::Any notice your Dict is {Any, Any} you’re converting an Any to Float64, your Dict() (can) contain Anys so compiler won’t know better until actually try converting it replacing the first line with: data = Dict{String, Float64}() would fix the instability: Variable…

[image] jling: Base.getindex(data, “dt”) Thanks a lot for your prompt reply. Actually, I also stored other things in data, such as data = Dict() data["total_time"] = dtime#Tf data["time"] = 0. data["dt"] = dtime data["friction…

yes, function f(data) Tf = data["total_time"]::Float64 dtime = data["dt"]::Float64 ... end something like this so they have to be Float64 (instead of converting them)

I am now facing another issue: function velo_func(t) if t < 1.5e-3 vx = 0. vy = -50. vz = 0. else vx = 50. vy = 0. vz = 0. end return (vx,vy,vz) end data = Dict() …

Firstly, you are using the same name, f, for both the outer function and the function retrieved from the Dict. I’m not sure if that causes any problems, but it’s confusing and not a good idea, imho. Secondly, Julia doesn’t know which function is coming out of your Dict. It just knows it’s some func…

It might be difficult to tell the compiler which function to expect. But you can add a type assertion (vex, vey, vez) = f(t)::Tuple{Float64, Float64, Float64} (or something like that - - typing on my phone here) [image] vinhphunguyen: data["rigid_body_velo"] = Array{Tuple{Int64,Function},1}(…

[image] DNF: ::Tuple{Float64, Float64, Float64} Thanks again DNF. The thing is that I might have more than one tuple in data[“rigid_body_velo”], so in general, it must be a vector.

Ok, that’s what I meant when I asked if there would be only one function. But still, I think you can just write data["rigid_body_velo"] = [(1,velo_func), (2, other_func)] # etc. No need for the complicated type info.

Dict issue?

General Usage

vinhphunguyen July 1, 2020, 6:12am 8

Thanks DNF. It just contains one function, but the function is problem-dependent. In other words, it is an input.

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Dict issue?

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