Miles Cranmer
Miles Cranmer
That all sounds good to me. For naming, maybe just something like `parse_compat`?
Ping on this, I ran into this again and would have found it useful to have this in the docs
Is `parse_compat` a good name? I can add it if that sounds good.
@DilumAluthge who was your question addressed to? Just want to make sure I didn't miss it
Seeing this on SymbolicRegression.jl too. The latency is so large I had to switch back to 1.10 for development.
`dtype('O')` simply means "object". I'm pretty this mean that this difference is due to `[[1]]` being a `Vector{Vector{Int}}` in Julia whereas it's a single array object in numpy. Basically, numpy...
Hi @marcosdiezgarcia, There is no bug here, though. Sorry if I was unclear. The answer is that the syntax you are trying to use, `[[1]]`, is incorrect in Julia. It...
But the `dtype` _is_ an object. This is correct behavior. It's not an `int64`. The same way that the eltype in Julia is a `Vector{Int64}`, in numpy, the `dtype` is...
Again, this is because numpy automatically converts to a single 2D array, whereas Julia leaves it as a vector of vectors. There is no bug here.
@marcosdiezgarcia please move this discussion elsewhere; maybe to the Julia discourse. This issue is about getting `similar` and other Base operations working on `PyArray`. (I should have pointed this out...