James Cook

Hi Gregor & Hendrik, https://github.com/piclas-framework looks great. It's a shame that Julia wasn't around back then but it's really nice looking Fortran (lots of `USE ..., ONLY:` statements). I wish...

That's much better! I've only dealt with Cartesian finite difference grids with divergencelessness baked into the numerical scheme (i.e. like constrained transport) or with codes that use the vector potential....

Hi All. I've typed out the fluxes to a [gist](https://gist.github.com/jwscook/bcdc55b5d17e808caea5face17c3bf5e) but I'm not having any luck. Any pointers?

Cylindrical geometry, with Dirichlet boundaries at the limits in the axial direction and at large radius. I'm not fussed if the azimuthal direction is Fourier, or otherwise, decomposed and I...

> Lift the call to the rundistributed function into this own @everywhere block. Sorry, can you explain exactly what you mean please? I put `rundistributed` with it's own `@everywhere`, but...

For the record `Module.jl` contains ``` struct Foo{T

It's going to be quite a challenge to create a vector valued integrand because the integral bounds are different for each quantity that would be in the vector, or so...

Also, a factor of 2 sounds good! I'll take what I can get.

A coordinate transformation will be rather challenging because I'm working with non-orthogonal coordinate systems. Having vectorised it, and storing the vector result with vector of inputs as a dictionary has...

Oh... doesn't my PR fail that case completely? ```julia julia> @memoize foo(a, x=2) = 1 foo (generic function with 2 methods) julia> foo(1) ERROR: MethodError: no method matching get!(::var"##getter#258#2", ::IdDict{Any,...