To escape "AI Shape Hell" and map across shapes like a cthulu-esque ameboid monstrosity, I hacked a way to use CartesianIndices with VectorOfArray. Here's the code. It's pretty lame since I've only been doing julia for less than a week but perhaps could be useful for this module
Test Case:
v = VectorOfArray([rand(20), rand(10,10), rand(3,3,3)])
function voa_indices(voa)
CI = []
for array_number in 1:length(voa)
for ci in CartesianIndices(voa[array_number])
ci = CartesianIndex(array_number, Tuple(ci)...)
push!(CI, ci)
end
end
return CI
end
for i in voa_indices(v)
@show i
@show v[i]
println()
end
Fix so test case passes:
@inline Base.getindex(VA::AbstractVectorOfArray{T,N}, I::CartesianIndex) where {T, N} = VA.u[Tuple(I)[1]][Tuple(I)[2:end]...]
Thanks for your work, julia definitely seems more powerful than python
To escape "AI Shape Hell" and map across shapes like a cthulu-esque ameboid monstrosity, I hacked a way to use CartesianIndices with VectorOfArray. Here's the code. It's pretty lame since I've only been doing julia for less than a week but perhaps could be useful for this module
Test Case:
Fix so test case passes:
Thanks for your work, julia definitely seems more powerful than python