Anshul Singhvi
Anshul Singhvi
It makes the code a bit more annoying to read through, but at least it should be correct now...
From some of the feedback in https://github.com/rafaqz/DimensionalData.jl/issues/975 it seems like a changelog requirement could be useful...
- Extent for merged lookup now expands into the extent for individual dimensions, same for any other lookup that declares itself to be multidimensional - New trait function `hasmultipledimensions` (name...
Overall this works pretty well but there are still some issues, especially with multidimensional arrays: ```julia-repl julia> d = rand(X(1:10), Y(1:10), Z(1:10), Ti(1:10), Dim{:something}(1:2))^C julia> dm = mergedims(d, (X, Y,...
It seems pretty ambiguous what you do with that - maybe if we clarify the criterion we can allow it?
Think of the bounds of a histogram which can be represented by `LinRange(minval, maxval, n_bins+1)`. There's no good way to do this in DD at the moment that is not...
This fix allows the Reference FMUs to build on my machine (Mac M4, macOS v10.15).
## Summary This PR ports missing functionality from the Plots.jl recipe to the Makie recipe for `AbstractTimeseriesSolution`, bringing them to feature parity. ## Changes - **Discrete Variable Support**: Added support...
https://github.com/bluesmoon/CurlHTTP.jl Looks like it has good multithreaded io (Julia io loop is single threaded iirc) Could be interesting to see if that can help with our download speed issues.