Thanks!
Sparspak v0.3.8 was installed when updating, however it still does not precompile. The error log looks like:
ERROR: The following 2 direct dependencies failed to precompile:
OrdinaryDiffEq [1dea7af3-3e70-54e6-95c3-0bf5283fa5ed]
Failed to precompile OrdinaryDiffEq [1dea7af3-3e70-54e6-95c3-0bf5283fa5ed] to /Users/jaimeredondoyuste/.julia/compiled/v1.8/OrdinaryDiffEq/jl_MaF86C.
ERROR: LoadError: MethodError: convert(::Type{Union{}}, ::SparseArrays.SparseMatrixCSC{Float64, Int64}) is ambiguous. Candidates:
convert(T::Type{<:SparseArrays.AbstractSparseMatrixCSC}, m::AbstractMatrix) in SparseArrays at /opt/homebrew/Cellar/julia/1.8.5/share/julia/stdlib/v1.8/SparseArrays/src/sparsematrix.jl:745
convert(T::Type{<:LinearAlgebra.UpperTriangular}, m::SparseArrays.AbstractSparseMatrixCSC) in SparseArrays at /opt/homebrew/Cellar/julia/1.8.5/share/julia/stdlib/v1.8/SparseArrays/src/sparsematrix.jl:755
convert(T::Type{<:LinearAlgebra.SymTridiagonal}, m::SparseArrays.AbstractSparseMatrixCSC) in SparseArrays at /opt/homebrew/Cellar/julia/1.8.5/share/julia/stdlib/v1.8/SparseArrays/src/sparsematrix.jl:749
convert(T::Type{<:LinearAlgebra.Diagonal}, m::SparseArrays.AbstractSparseMatrixCSC) in SparseArrays at /opt/homebrew/Cellar/julia/1.8.5/share/julia/stdlib/v1.8/SparseArrays/src/sparsematrix.jl:747
convert(T::Type{<:LinearAlgebra.LowerTriangular}, m::SparseArrays.AbstractSparseMatrixCSC) in SparseArrays at /opt/homebrew/Cellar/julia/1.8.5/share/julia/stdlib/v1.8/SparseArrays/src/sparsematrix.jl:753
convert(T::Type{<:LinearAlgebra.Bidiagonal}, m::AbstractMatrix) in LinearAlgebra at /opt/homebrew/Cellar/julia/1.8.5/share/julia/stdlib/v1.8/LinearAlgebra/src/bidiag.jl:203
convert(T::Type{<:LinearAlgebra.Tridiagonal}, m::SparseArrays.AbstractSparseMatrixCSC) in SparseArrays at /opt/homebrew/Cellar/julia/1.8.5/share/julia/stdlib/v1.8/SparseArrays/src/sparsematrix.jl:751
convert(T::Type{<:SparseArrays.SparseVector}, m::SparseArrays.AbstractSparseMatrixCSC) in SparseArrays at /opt/homebrew/Cellar/julia/1.8.5/share/julia/stdlib/v1.8/SparseArrays/src/sparsevector.jl:466
convert(::Type{Union{}}, a::AbstractArray) in Base at array.jl:618
convert(::Type{SA}, a::AbstractArray) where SA<:StaticArraysCore.StaticArray in StaticArrays at /Users/jaimeredondoyuste/.julia/packages/StaticArrays/jA1zK/src/convert.jl:194
convert(::Type{T}, a::AbstractArray) where T<:Array in Base at array.jl:617
convert(T::Type{<:BitArray}, a::AbstractArray) in Base at bitarray.jl:580
convert(::Type{T}, M::AbstractArray) where T<:OffsetArrays.OffsetArray in OffsetArrays at /Users/jaimeredondoyuste/.julia/packages/OffsetArrays/TcCEq/src/OffsetArrays.jl:256
convert(::Type{Union{}}, x) in Base at essentials.jl:213
convert(::Type{T}, arg) where T<:VecElement in Base at baseext.jl:19
convert(::Type{T}, obj) where T<:FunctionWrappers.FunctionWrapper in FunctionWrappers at /Users/jaimeredondoyuste/.julia/packages/FunctionWrappers/Q5cBx/src/FunctionWrappers.jl:113
Possible fix, define
convert(::Type{Union{}}, ::SparseArrays.AbstractSparseMatrixCSC)
Stacktrace:
[1] Sparspak.SpkSparseSolver.SparseSolver{Int64, Float64}(p::SparseArrays.SparseMatrixCSC{Float64, Int64}, slvr::Sparspak.SpkSparseBase._SparseBase{Int64, Float64}, n::Int64, ma::Int64, na::Int64, mc::Int64, nc::Int64, _inmatrixdone::Bool, _orderdone::Bool, _symbolicdone::Bool, _factordone::Bool, _trisolvedone::Bool, _refinedone::Bool, _condestdone::Bool) (repeats 2 times)
@ Sparspak.SpkSparseSolver ~/.julia/packages/Sparspak/5cKXy/src/SparseMethod/SpkSparseSolver.jl:18
[2] Sparspak.SpkSparseSolver.SparseSolver(m::SparseArrays.SparseMatrixCSC{Float64, Int64})
@ Sparspak.SparseCSCInterface ~/.julia/packages/Sparspak/5cKXy/src/SparseCSCInterface/SparseCSCInterface.jl:189
[3] sparspaklu(m::SparseArrays.SparseMatrixCSC{Float64, Int64}; factorize::Bool)
@ Sparspak.SparseCSCInterface ~/.julia/packages/Sparspak/5cKXy/src/SparseCSCInterface/SparseCSCInterface.jl:219
[4] init_cacheval(#unused#::LinearSolve.SparspakFactorization, A::SparseArrays.SparseMatrixCSC{Float64, Int64}, b::Vector{Float64}, u::Vector{Float64}, Pl::SciMLOperators.IdentityOperator{4}, Pr::SciMLOperators.IdentityOperator{4}, maxiters::Int64, abstol::Float64, reltol::Float64, verbose::Bool, assumptions::LinearSolve.OperatorAssumptions{true})
@ LinearSolve ~/.julia/packages/LinearSolve/fBayl/src/factorization.jl:514
[5] init(::SciMLBase.LinearProblem{Nothing, true, SparseArrays.SparseMatrixCSC{Float64, Int64}, Vector{Float64}, SciMLBase.NullParameters, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}}, ::LinearSolve.SparspakFactorization; alias_A::Bool, alias_b::Bool, abstol::Float64, reltol::Float64, maxiters::Int64, verbose::Bool, Pl::SciMLOperators.IdentityOperator{4}, Pr::SciMLOperators.IdentityOperator{4}, assumptions::LinearSolve.OperatorAssumptions{true}, kwargs::Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
@ LinearSolve ~/.julia/packages/LinearSolve/fBayl/src/common.jl:117
[6] init(::SciMLBase.LinearProblem{Nothing, true, SparseArrays.SparseMatrixCSC{Float64, Int64}, Vector{Float64}, SciMLBase.NullParameters, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}}, ::LinearSolve.SparspakFactorization)
@ LinearSolve ~/.julia/packages/LinearSolve/fBayl/src/common.jl:88
[7] solve(::SciMLBase.LinearProblem{Nothing, true, SparseArrays.SparseMatrixCSC{Float64, Int64}, Vector{Float64}, SciMLBase.NullParameters, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}}, ::LinearSolve.SparspakFactorization; kwargs::Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
@ LinearSolve ~/.julia/packages/LinearSolve/fBayl/src/common.jl:157
[8] solve(::SciMLBase.LinearProblem{Nothing, true, SparseArrays.SparseMatrixCSC{Float64, Int64}, Vector{Float64}, SciMLBase.NullParameters, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}}, ::LinearSolve.SparspakFactorization)
@ LinearSolve ~/.julia/packages/LinearSolve/fBayl/src/common.jl:154
[9] macro expansion
@ ~/.julia/packages/LinearSolve/fBayl/src/LinearSolve.jl:102 [inlined]
[10] top-level scope
@ ~/.julia/packages/SnoopPrecompile/1XXT1/src/SnoopPrecompile.jl:62
[11] include
@ ./Base.jl:419 [inlined]
[12] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt64}}, source::String)
@ Base ./loading.jl:1554
[13] top-level scope
@ stdin:1
in expression starting at /Users/jaimeredondoyuste/.julia/packages/LinearSolve/fBayl/src/LinearSolve.jl:1
in expression starting at stdin:1
With an error also to load LinearSolve which depends on the failure to precompile of OrdinaryDiffEq and then a similar error to the one copied for DifferentialEquations.
Is there any simple fix for this? Would just installing a previous version of Julia and the packages would work? As far as I know, I do not think I have anything weird in my local environment that could be causing trouble, but I also don’t know the best way to check this.
In any case, thanks for the help 