The Julia Language

Currently, we mostly map julia function arguments directly to LLVM arguments regardless of how many there are. That probably causes us to hit some pathological cases, since LLVM is not likely to care about or optimize handling 1000 arguments, since most front-ends do not generate that.

For example:

julia> fields = [:($(Symbol("var$i"))::Int) for i in 1:1000];

julia> @eval struct x
   

Describe your context
Please provide us your environment, so we can easily reproduce the issue.

• replace the result of pip list | grep dash below

dash                      2.0.0
dash-bootstrap-components 1.0.0

• if frontend related, tell us your Browser, Version and OS

  • OS: [e.g. iOS] Windows
  • Browser [e.g. chrome, safari]: Chrome 96.0x, Edge 96.0x, Firefox

We have a couple of combinations of let and global that are not analyzed correctly, like:

let
	a = 1
	global a = 2
end

defines a global a, but Pluto prioritizes the let block.

@test_broken means that we still need to fix it:

https://github.com/fonsp/Pluto.jl/blob/c1d23122845e7864ef3dfe15a8428366c98f95eb/test/ExpressionExplorer.jl#L368-L379

This is a good firs

I understand that this only makes sense if there are discrete variables. However, it's an important parameter to have when solving discrete optimization problems.

Details

This shouldn't happen

using Plots
plot(rand(4,4), layout = 2, series_annotations = [1 2; 3 4])
Error showing value of type Plots.Plot{Plots.GRBackend}:
ERROR: type Array has no field baseshape
Stacktrace:
  [1] getproperty(x::Vector{Plots.SeriesAnnotations}, f::Symbol)
    @ Base ./Base.jl:42
  [2] serie

@piever @kimlaberinto

Compare https://github.com/JuliaPlots/Makie.jl/blob/master/src/stats/boxplot.jl#L31-L64 with http://makie.juliaplots.org/stable/plotting_functions/boxplot.html#Makie.boxplot
This should be a good beginner issue :)

Unlike all the existing charts that graph a string (most likely) against a number, this graphs numbers on both axises. So in addition to the configuration changes needed for passing the right field to chartjs, the PR for this should also change the "preferred type" to "number" for the x axis when the chart type is scatter plot.

I found that function mod2pi is not implemented yet, but mod works. Is there any list of implemented functions? Minimal working example is:

using Zygote

# This is working
gradient(x -> mod(x, 2pi), 1.)

# This is not
gradient(x -> mod2pi(x), 1.)

In order to profile and optimize the current inference server architecture and best tune its hyper-parameters for various applications, it would be very useful for AlphaZero.jl to have a mode where it outputs a debugging timeline in which it is possible to easily visualize when each worker submits an inference request, when it gets an answer, and when inference concretely runs on the GPU (along wi

In Exercises 10.1, the outer product in Take the outer product of a vector v with itself and assign it to variable cross_v should be cross product.

If I run the copy&paste examples, such as https://mtk.sciml.ai/stable/tutorials/acausal_components/ :

using ModelingToolkit, Plots, DifferentialEquations

@variables t
@connector function Pin(;name)
    sts = @variables v(t)=1.0 i(t)=1.0 [connect = Flow]
    ODESystem(Equation[], t, sts, []; name=name)
end

function Ground(;name)
    @named g = Pin()
    eqs = [g.v ~ 0]