Open
Description
Describe the bug 🐞
Setting a slice of a VectorOfArray
, where the inner vectors have different sizes, gives an error, see below.
Expected behavior
It should work.
Minimal Reproducible Example 👇
julia> f = VectorOfArray([[1.0], [2.0, 3.0]])
VectorOfArray{Float64,2}:
2-element Vector{Vector{Float64}}:
[1.0]
[2.0, 3.0]
julia> f[:, 1] .= [2.0] # This is as expected
1-element view(::VectorOfArray{Float64, 2, Vector{Vector{Float64}}}, :, 1) with eltype Float64:
2.0
julia> f[:, 2] .= [4.0, 5.0] # This errors (see below)
Error & Stacktrace
julia> f[:, 2] .= [4.0, 5.0]
ERROR: DimensionMismatch: array could not be broadcast to match destination
Stacktrace:
[1] check_broadcast_shape
@ ./broadcast.jl:552 [inlined]
[2] check_broadcast_axes
@ ./broadcast.jl:555 [inlined]
[3] instantiate
@ ./broadcast.jl:310 [inlined]
[4] materialize!
@ ./broadcast.jl:883 [inlined]
[5] materialize!(dest::SubArray{Float64, 1, VectorOfArray{…}, Tuple{…}, false}, bc::Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{…}, Nothing, typeof(identity), Tuple{…}})
@ Base.Broadcast ./broadcast.jl:880
[6] top-level scope
@ REPL[100]:1
Some type information was truncated. Use `show(err)` to see complete types.
Environment (please complete the following information):
- Output of
using Pkg; Pkg.status()
Status `/tmp/jl_U8APBX/Project.toml`
[731186ca] RecursiveArrayTools v3.33.0
- Output of
using Pkg; Pkg.status(; mode = PKGMODE_MANIFEST)
Status `/tmp/jl_U8APBX/Manifest.toml`
[7d9f7c33] Accessors v0.1.42
[79e6a3ab] Adapt v4.3.0
[4fba245c] ArrayInterface v7.19.0
[a33af91c] CompositionsBase v0.1.2
[187b0558] ConstructionBase v1.5.8
[a8cc5b0e] Crayons v4.1.1
[9a962f9c] DataAPI v1.16.0
[e2d170a0] DataValueInterfaces v1.0.0
[ffbed154] DocStringExtensions v0.9.4
[e2ba6199] ExprTools v0.1.10
[46192b85] GPUArraysCore v0.2.0
[3587e190] InverseFunctions v0.1.17
[82899510] IteratorInterfaceExtensions v1.0.0
[b964fa9f] LaTeXStrings v1.4.0
[1914dd2f] MacroTools v0.5.16
[bac558e1] OrderedCollections v1.8.1
⌅ [aea7be01] PrecompileTools v1.2.1
[21216c6a] Preferences v1.4.3
[08abe8d2] PrettyTables v2.4.0
[3cdcf5f2] RecipesBase v1.3.4
[731186ca] RecursiveArrayTools v3.33.0
[189a3867] Reexport v1.2.2
[ae029012] Requires v1.3.1
[7e49a35a] RuntimeGeneratedFunctions v0.5.15
[1e83bf80] StaticArraysCore v1.4.3
[10745b16] Statistics v1.11.1
[892a3eda] StringManipulation v0.4.1
[2efcf032] SymbolicIndexingInterface v0.3.40
[3783bdb8] TableTraits v1.0.1
[bd369af6] Tables v1.12.0
[56f22d72] Artifacts v1.11.0
[2a0f44e3] Base64 v1.11.0
[ade2ca70] Dates v1.11.0
[8f399da3] Libdl v1.11.0
[37e2e46d] LinearAlgebra v1.11.0
[d6f4376e] Markdown v1.11.0
[de0858da] Printf v1.11.0
[9a3f8284] Random v1.11.0
[ea8e919c] SHA v0.7.0
[9e88b42a] Serialization v1.11.0
[fa267f1f] TOML v1.0.3
[cf7118a7] UUIDs v1.11.0
[4ec0a83e] Unicode v1.11.0
[e66e0078] CompilerSupportLibraries_jll v1.1.1+0
[4536629a] OpenBLAS_jll v0.3.27+1
[8e850b90] libblastrampoline_jll v5.11.0+0
Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m`
- Output of
versioninfo()
Julia Version 1.11.5
Commit 760b2e5b739 (2025-04-14 06:53 UTC)
Build Info:
Official https://julialang.org/ release
Platform Info:
OS: Linux (x86_64-linux-gnu)
CPU: 12 × 13th Gen Intel(R) Core(TM) i5-1345U
WORD_SIZE: 64
LLVM: libLLVM-16.0.6 (ORCJIT, goldmont)
Threads: 1 default, 0 interactive, 1 GC (on 12 virtual cores)
Additional context
Similar to #453 and SciML/OrdinaryDiffEq.jl#2728, but these might also be different issues.