using SparseArrays
a=[rand(2) for i=1:30000];
vcat(a'...)
EDIT: using SparseArrays that gets loaded by using Statistics
gives
ERROR: StackOverflowError:
Stacktrace:
[1] _cat_size_shape(::Tuple{…}, ::Tuple{…}, ::LinearAlgebra.Adjoint{…}, ::LinearAlgebra.Adjoint{…}, ::Vararg{…}) (repeats 15353 times)
@ Base .\abstractarray.jl:1748
[2] cat_size_shape(::Tuple{…}, ::LinearAlgebra.Adjoint{…}, ::LinearAlgebra.Adjoint{…}, ::Vararg{…})
@ Base .\abstractarray.jl:1746
[3] _cat_t(::Val{1}, ::Type{Float64}, ::LinearAlgebra.Adjoint{Float64, Vector{Float64}}, ::Vararg{LinearAlgebra.Adjoint{Float64, Vector{…}}})
@ Base .\abstractarray.jl:1787
[4] _cat(::Val{1}, ::LinearAlgebra.Adjoint{Float64, Vector{Float64}}, ::Vararg{LinearAlgebra.Adjoint{Float64, Vector{Float64}}})
@ SparseArrays C:\Users\jaakkor2\.julia\juliaup\julia-1.10.0-beta2+0.x64.w64.mingw32\share\julia\stdlib\v1.10\SparseArrays\src\sparsevector.jl:1221
[5] cat(::LinearAlgebra.Adjoint{Float64, Vector{Float64}}, ::Vararg{LinearAlgebra.Adjoint{Float64, Vector{Float64}}}; dims::Val{1})
@ Base .\abstractarray.jl:1981
[6] vcat(::LinearAlgebra.Adjoint{…}, ::LinearAlgebra.Adjoint{…}, ::LinearAlgebra.Adjoint{…}, ::Vararg{…})
@ SparseArrays C:\Users\jaakkor2\.julia\juliaup\julia-1.10.0-beta2+0.x64.w64.mingw32\share\julia\stdlib\v1.10\SparseArrays\src\sparsevector.jl:1233
Some type information was truncated. Use `show(err)` to see complete types.
The example works on Julia 1.9.
On Julia 1.10 both collect(hcat(a...)') and stack(a, dims=1) work ok, latter requires Julia ≥ 1.9.
julia> versioninfo()
Julia Version 1.10.0-beta2
Commit a468aa198d (2023-08-17 06:27 UTC)
Build Info:
Official https://julialang.org/ release
Platform Info:
OS: Windows (x86_64-w64-mingw32)
CPU: 20 × 13th Gen Intel(R) Core(TM) i7-1370P
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-15.0.7 (ORCJIT, goldmont)
Threads: 1 on 20 virtual cores
Julia from juliaup, started with julia +beta --startup-file=no
EDIT:
using SparseArraysthat gets loaded byusing Statisticsgives
The example works on Julia 1.9.
On Julia 1.10 both
collect(hcat(a...)')andstack(a, dims=1)work ok, latter requires Julia ≥ 1.9.Julia from juliaup, started with
julia +beta --startup-file=no