Hi I am still a bit new to Julia and wanted to try out DifferentialEquations in Pluto. But when tried to install it via Pkg.add(“DifferentialEquations”) I got this error:
**Precompiling** project...
✗ LinearSolve
✗ NonlinearSolve
✗ OrdinaryDiffEq
✗ DelayDiffEq
✗ StochasticDiffEq
✗ DifferentialEquations
156 dependencies successfully precompiled in 113 seconds
6 dependencies errored. To see a full report either run `import Pkg; Pkg.precompile()` or load the packages
1 dependency had warnings during precompilation:
┌ Random123 [74087812-796a-5b5d-8853-05524746bad3]
│ **┌ Warning:** AES-NI is not enabled, so AESNI and ARS are not available.
│ **└** @ Random123 ~/.julia/packages/Random123/u5oEp/src/Random123.jl:55
└
then when I tried to install one of them individually I got this error which doesn’t make any sense for me
**julia>** using LinearSolve
│ Package LinearSolve not found, but a package named LinearSolve is available
│ from a registry.
│ Install package?
│ (@v1.9) pkg> add LinearSolve
└ (y/n/o) [y]: y
**Resolving** package versions...
**Updating** `~/.julia/environments/v1.9/Project.toml`
[7ed4a6bd] + LinearSolve v2.2.1
**No Changes** to `~/.julia/environments/v1.9/Manifest.toml`
**[ Info:** Precompiling LinearSolve [7ed4a6bd-45f5-4d41-b270-4a48e9bafcae]
**ERROR:** LoadError: MethodError: convert(::Type{Union{}}, ::SparseArrays.SparseMatrixCSC{Float64, Int64}) is ambiguous.
Candidates:
convert(::**Type**{T}, arg) where T<:VecElement
@ Base baseext.jl:19
convert(T::**Type**{<:Core.IntrinsicFunction}, x)
@ Base essentials.jl:289
convert(T::**Type**{<:LinearAlgebra.LowerTriangular}, m::**SparseArrays.AbstractSparseMatrixCSC**)
@ SparseArrays /opt/homebrew/Cellar/julia/1.9.1/share/julia/stdlib/v1.9/SparseArrays/src/sparsematrix.jl:930
convert(::**Type**{T}, a::**AbstractArray**) where T<:BitArray
@ Base bitarray.jl:580
convert(T::**Type**{<:Nothing}, x)
@ Base essentials.jl:290
convert(::**Type**{T}, M::**AbstractArray**) where T<:OffsetArrays.OffsetArray
@ OffsetArrays ~/.julia/packages/OffsetArrays/TcCEq/src/OffsetArrays.jl:256
convert(::**Type**{T}, m::**AbstractMatrix**) where T<:LinearAlgebra.Bidiagonal
@ LinearAlgebra /opt/homebrew/Cellar/julia/1.9.1/share/julia/stdlib/v1.9/LinearAlgebra/src/bidiag.jl:206
convert(::**Type**{T}, a::**AbstractArray**) where T<:Array
@ Base array.jl:613
convert(T::**Type**{<:SparseArrays.AbstractSparseMatrixCSC}, m::**AbstractMatrix**)
@ SparseArrays /opt/homebrew/Cellar/julia/1.9.1/share/julia/stdlib/v1.9/SparseArrays/src/sparsematrix.jl:922
convert(T::**Type**{<:SparseArrays.SparseVector}, m::**SparseArrays.AbstractSparseMatrixCSC**)
@ SparseArrays /opt/homebrew/Cellar/julia/1.9.1/share/julia/stdlib/v1.9/SparseArrays/src/sparsevector.jl:531
convert(T::**Type**{<:LinearAlgebra.Diagonal}, m::**SparseArrays.AbstractSparseMatrixCSC**)
@ SparseArrays /opt/homebrew/Cellar/julia/1.9.1/share/julia/stdlib/v1.9/SparseArrays/src/sparsematrix.jl:924
convert(T::**Type**{<:LinearAlgebra.UpperTriangular}, m::**SparseArrays.AbstractSparseMatrixCSC**)
@ SparseArrays /opt/homebrew/Cellar/julia/1.9.1/share/julia/stdlib/v1.9/SparseArrays/src/sparsematrix.jl:932
convert(::**Type**{T}, obj) where T<:FunctionWrappers.FunctionWrapper
@ FunctionWrappers ~/.julia/packages/FunctionWrappers/Q5cBx/src/FunctionWrappers.jl:113
convert(T::**Type**{<:LinearAlgebra.Tridiagonal}, m::**SparseArrays.AbstractSparseMatrixCSC**)
@ SparseArrays /opt/homebrew/Cellar/julia/1.9.1/share/julia/stdlib/v1.9/SparseArrays/src/sparsematrix.jl:928
convert(T::**Type**{<:LinearAlgebra.SymTridiagonal}, m::**SparseArrays.AbstractSparseMatrixCSC**)
@ SparseArrays /opt/homebrew/Cellar/julia/1.9.1/share/julia/stdlib/v1.9/SparseArrays/src/sparsematrix.jl:926
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**)**
@ Sparspak.SpkSparseSolver ~/.julia/packages/Sparspak/oqBYl/src/SparseMethod/SpkSparseSolver.jl:18
[2] **Sparspak.SpkSparseSolver.SparseSolver(**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**)**
@ Sparspak.SpkSparseSolver ~/.julia/packages/Sparspak/oqBYl/src/SparseMethod/SpkSparseSolver.jl:18
[3] **Sparspak.SpkSparseSolver.SparseSolver(**m::SparseArrays.SparseMatrixCSC{Float64, Int64}**)**
@ Sparspak.SparseCSCInterface ~/.julia/packages/Sparspak/oqBYl/src/SparseCSCInterface/SparseCSCInterface.jl:189
[4] **sparspaklu(**m::SparseArrays.SparseMatrixCSC{Float64, Int64}; factorize::Bool**)**
@ Sparspak.SparseCSCInterface ~/.julia/packages/Sparspak/oqBYl/src/SparseCSCInterface/SparseCSCInterface.jl:219
[5] top-level scope
@ ~/.julia/packages/LinearSolve/GoL1I/src/factorization.jl:1314
[6] **include(**mod::Module, _path::String**)**
@ Base ./Base.jl:457
[7] **include(**x::String**)**
@ LinearSolve ~/.julia/packages/LinearSolve/GoL1I/src/LinearSolve.jl:1
[8] top-level scope
@ ~/.julia/packages/LinearSolve/GoL1I/src/LinearSolve.jl:83
[9] **include**
@ ./Base.jl:457 [inlined]
[10] **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, UInt128}}, source::Nothing**)**
@ Base ./loading.jl:2045
[11] top-level scope
@ stdin:3
in expression starting at /Users/julianjagerndorfer/.julia/packages/LinearSolve/GoL1I/src/factorization.jl:1314
in expression starting at /Users/julianjagerndorfer/.julia/packages/LinearSolve/GoL1I/src/LinearSolve.jl:1
in expression starting at stdin:3
**ERROR:** Failed to precompile LinearSolve [7ed4a6bd-45f5-4d41-b270-4a48e9bafcae] to "/Users/julianjagerndorfer/.julia/compiled/v1.9/LinearSolve/jl_kxqam6".
Stacktrace:
[1] **error(**s::String**)**
@ Base ./error.jl:35
[2] **compilecache(**pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool**)**
@ Base ./loading.jl:2296
[3] **compilecache**
@ ./loading.jl:2163 [inlined]
[4] **_require(**pkg::Base.PkgId, env::String**)**
@ Base ./loading.jl:1805
[5] **_require_prelocked(**uuidkey::Base.PkgId, env::String**)**
@ Base ./loading.jl:1660
[6] **macro expansion**
@ ./loading.jl:1648 [inlined]
[7] **macro expansion**
@ ./lock.jl:267 [inlined]
[8] **require(**into::Module, mod::Symbol**)**
@ Base ./loading.jl:1611
When googling the error, I found this problem which seems to be very similar to mine expect of the fact that I am on MacOS not Manjaro https://discourse.julialang.org/t/solved-precompilation-of-ordinarydiffeq-fails-in-julia-1-8-5-on-manjaro-arch-linux/93979
I hope you can help me this my versioninfo()
Julia Version 1.9.1
Commit 147bdf428c (2023-06-07 08:27 UTC)
Platform Info:
OS: macOS (arm64-apple-darwin22.4.0)
CPU: 8 × Apple M1
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-14.0.6 (ORCJIT, apple-m1)
Threads: 1 on 4 virtual cores
Environment:
JULIA_IMAGE_THREADS = 1
Thank you!
Julian