SciML / SciML/ComponentArrays.jl

Compatibility with StaticArrays?

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Dominant language
Julia
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Forks
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Merged PRs (30d)
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Description

I could really use something like a namedtuple that can do vector operations (immutable, indexable by name and no allocations when doing operations). My idea was to try out ComponentArrays with StaticArrays. But it didn't work

using ComponentArrays
using StaticArrays

comp = ComponentArray((a=5.,b=(c=7.,d=8.)))
scomp = ComponentArray(SVector(getdata(comp)...),getaxes(comp))
getdata(scomp)*2 #works
scomp*2 # Error

The error is:

ERROR: Dimension is not static. Please file a bug.
Stacktrace:
 [1] error(s::String)
   @ Base .\error.jl:35
 [2] copy
   @ C:\Users\x\.julia\packages\StaticArrays\jA1zK\src\broadcast.jl:61 [inlined]
 [3] materialize
   @ .\broadcast.jl:860 [inlined]
 [4] broadcast_preserving_zero_d
   @ .\broadcast.jl:849 [inlined]
 [5] *(A::ComponentVector{Float64, SVector{3, Float64}, Tuple{Axis{(a = 1, b = ViewAxis(2:3, Axis(c = 1, d = 2)))}}}, B::Int64)
   @ Base .\arraymath.jl:24
 [6] top-level scope
   @ c:\Users\x\Documents\julia3\test.jl:71 

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First steps

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  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by running the Julia reproduction in the issue and inspect the interaction between ComponentArrays and StaticArrays, especially StaticArrays/src/broadcast.jl and Base arraymath.jl from the stack trace. Determine why scomp*2 reports a non-static dimension, then verify that the operation succeeds while preserving the named, indexable component behavior.

Written by the indexing model from the issue text.

Assessment

Tech stack
julia
Domain
data
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
42/100

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