Package evaluation to load CausalInference on Julia 1.14.0-DEV.2114 (cccbcd9611*) started at 2026-05-05T14:25:35.484 ################################################################################ # Set-up # Set-up completed after 0.12s ################################################################################ # Installation # Installing CausalInference... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [8e462317] + CausalInference v0.19.2 Updating `~/.julia/environments/v1.14/Manifest.toml` [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.44 [79e6a3ab] + Adapt v4.5.2 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [ec485272] + ArnoldiMethod v0.4.0 [198e06fe] + BangBang v0.4.9 [9718e550] + Baselet v0.1.1 [8e462317] + CausalInference v0.19.2 [0b6fb165] + ChunkCodecCore v1.0.1 [4c0bbee4] + ChunkCodecLibZlib v1.0.0 [55437552] + ChunkCodecLibZstd v1.0.0 [60701a23] + CliqueTrees v1.19.2 [08986516] + Collects v1.1.0 [861a8166] + Combinatorics v1.1.0 [a33af91c] + CompositionsBase v0.1.2 [187b0558] + ConstructionBase v1.6.0 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.4 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [b4f34e82] + Distances v0.10.12 [31c24e10] + Distributions v0.25.125 [ffbed154] + DocStringExtensions v0.9.5 [5789e2e9] + FileIO v1.19.0 [1a297f60] + FillArrays v1.16.0 [3821ddf9] + FixedSizeArrays v1.3.0 [1fa38f19] + Format v1.3.7 [86223c79] + Graphs v1.14.0 [076d061b] + HashArrayMappedTries v0.2.0 [34004b35] + HypergeometricFunctions v0.3.28 [d25df0c9] + Inflate v0.1.5 [22cec73e] + InitialValues v0.3.1 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.6 [82899510] + IteratorInterfaceExtensions v1.0.0 [033835bb] + JLD2 v0.6.4 [692b3bcd] + JLLWrappers v1.7.1 [8ac3fa9e] + LRUCache v1.6.2 [2ab3a3ac] + LogExpFunctions v0.3.29 [aa2f6b4e] + LogarithmicNumbers v1.4.1 [1914dd2f] + MacroTools v0.5.16 [6fafb56a] + Memoization v0.2.2 ⌅ [626554b9] + MetaGraphs v0.8.1 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 [b8a86587] + NearestNeighbors v0.4.27 [6fe1bfb0] + OffsetArrays v1.17.0 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.37 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.2 [92933f4c] + ProgressMeter v1.11.0 [43287f4e] + PtrArrays v1.4.0 [1fd47b50] + QuadGK v2.11.3 [189a3867] + Reexport v1.2.2 [42d2dcc6] + Referenceables v0.1.3 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.9.0 [7e506255] + ScopedValues v1.6.2 [efcf1570] + Setfield v1.1.2 [699a6c99] + SimpleTraits v0.9.5 [a2af1166] + SortingAlgorithms v1.2.2 [276daf66] + SpecialFunctions v2.7.2 [171d559e] + SplittablesBase v0.1.15 [90137ffa] + StaticArrays v1.9.18 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.10 [4c63d2b9] + StatsFuns v1.5.2 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [3eeacb1d] + TabularDisplay v1.3.0 [ac1d9e8a] + ThreadsX v0.1.12 [28d57a85] + Transducers v0.4.85 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.14.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.1+0 [deac9b47] + LibCURL_jll v8.19.0+0 [e37daf67] + LibGit2_jll v1.9.2+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2026.3.19 [4536629a] + OpenBLAS_jll v0.3.33+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.6+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.2+0 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.69.0+0 [3f19e933] + p7zip_jll v17.8.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 9.15s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Project No packages added to or removed from `~/.julia/environments/pkgeval/Project.toml` Manifest No packages added to or removed from `~/.julia/environments/pkgeval/Manifest.toml` Precompiling package dependencies... Precompiling project... ERROR: LoadError: MethodError: no method matching sorted_intersect_(::Graphs.FrozenVector{Int64}, ::Graphs.FrozenVector{Int64}) The function `sorted_intersect_` exists, but no method is defined for this combination of argument types.  Closest candidates are:  sorted_intersect_(!Matched::Vector{T}, !Matched::Vector{T}) where T  @ CausalInference ~/.julia/packages/CausalInference/c2bzn/src/pdag.jl:171  Stacktrace:  [1] neighbors_undirected(g::Graphs.SimpleGraphs.SimpleDiGraph{Int64}, x::Int64)  @ CausalInference ~/.julia/packages/CausalInference/c2bzn/src/pdag.jl:128  [2] tails_and_adj_neighbors(g::Graphs.SimpleGraphs.SimpleDiGraph{Int64}, x::Int64, y::Int64)  @ CausalInference ~/.julia/packages/CausalInference/c2bzn/src/ges.jl:204  [3] score_edge_inserts(score::Float64, dataParsed::CausalInference.GaussianScore{Float64, LinearAlgebra.Symmetric{Float64, Matrix{Float64}}}, g::Graphs.SimpleGraphs.SimpleDiGraph{Int64}, x::Int64, y::Int64)  @ CausalInference ~/.julia/packages/CausalInference/c2bzn/src/ges.jl:217  [4] (::CausalInference.var"#find_best_insert##4#find_best_insert##5"{Float64, CausalInference.GaussianScore{Float64, LinearAlgebra.Symmetric{Float64, Matrix{Float64}}}, Graphs.SimpleGraphs.SimpleDiGraph{Int64}})(::Tuple{Int64, Int64})  @ CausalInference ./none:-1  [5] _piterate(iter1::Base.OneTo{Int64}, rest::Base.OneTo{Int64})  @ Base.Iterators ./reduce.jl:98 [inlined]  [6] iterate(P::Base.Iterators.ProductIterator{Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}}})  @ Base.Iterators ./reduce.jl:110 [inlined]  [7] _foldl_impl(op::Base.FilteringRF{CausalInference.var"#find_best_insert##6#find_best_insert##7"{Graphs.SimpleGraphs.SimpleDiGraph{Int64}}, Base.MappingRF{CausalInference.var"#find_best_insert##4#find_best_insert##5"{Float64, CausalInference.GaussianScore{Float64, LinearAlgebra.Symmetric{Float64, Matrix{Float64}}}, Graphs.SimpleGraphs.SimpleDiGraph{Int64}}, Base.BottomRF{typeof(CausalInference.best)}}}, init::Base._InitialValue, itr::Base.Iterators.ProductIterator{Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}}})  @ Base ./reduce.jl:60 [inlined]  [8] foldl_impl(op::Base.FilteringRF{CausalInference.var"#find_best_insert##6#find_best_insert##7"{Graphs.SimpleGraphs.SimpleDiGraph{Int64}}, Base.MappingRF{CausalInference.var"#find_best_insert##4#find_best_insert##5"{Float64, CausalInference.GaussianScore{Float64, LinearAlgebra.Symmetric{Float64, Matrix{Float64}}}, Graphs.SimpleGraphs.SimpleDiGraph{Int64}}, Base.BottomRF{typeof(CausalInference.best)}}}, nt::Base._InitialValue, itr::Base.Iterators.ProductIterator{Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}}})  @ Base ./reduce.jl:46  [9] mapfoldl_impl(f::typeof(identity), op::typeof(CausalInference.best), nt::Base._InitialValue, itr::Base.Generator{Base.Iterators.Filter{CausalInference.var"#find_best_insert##6#find_best_insert##7"{Graphs.SimpleGraphs.SimpleDiGraph{Int64}}, Base.Iterators.ProductIterator{Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}}}}, CausalInference.var"#find_best_insert##4#find_best_insert##5"{Float64, CausalInference.GaussianScore{Float64, LinearAlgebra.Symmetric{Float64, Matrix{Float64}}}, Graphs.SimpleGraphs.SimpleDiGraph{Int64}}})  @ Base ./reduce.jl:42  [10] mapfoldl(f::Function, op::Function, itr::Base.Generator{Base.Iterators.Filter{CausalInference.var"#find_best_insert##6#find_best_insert##7"{Graphs.SimpleGraphs.SimpleDiGraph{Int64}}, Base.Iterators.ProductIterator{Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}}}}, CausalInference.var"#find_best_insert##4#find_best_insert##5"{Float64, CausalInference.GaussianScore{Float64, LinearAlgebra.Symmetric{Float64, Matrix{Float64}}}, Graphs.SimpleGraphs.SimpleDiGraph{Int64}}}; init::Base._InitialValue)  @ Base ./reduce.jl:173  [11] mapreduce(f::Function, op::Function, itr::Base.Generator{Base.Iterators.Filter{CausalInference.var"#find_best_insert##6#find_best_insert##7"{Graphs.SimpleGraphs.SimpleDiGraph{Int64}}, Base.Iterators.ProductIterator{Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}}}}, CausalInference.var"#find_best_insert##4#find_best_insert##5"{Float64, CausalInference.GaussianScore{Float64, LinearAlgebra.Symmetric{Float64, Matrix{Float64}}}, Graphs.SimpleGraphs.SimpleDiGraph{Int64}}}; kw::@Kwargs{})  @ Base ./reduce.jl:305  [12] reduce(op::Function, itr::Base.Generator{Base.Iterators.Filter{CausalInference.var"#find_best_insert##6#find_best_insert##7"{Graphs.SimpleGraphs.SimpleDiGraph{Int64}}, Base.Iterators.ProductIterator{Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}}}}, CausalInference.var"#find_best_insert##4#find_best_insert##5"{Float64, CausalInference.GaussianScore{Float64, LinearAlgebra.Symmetric{Float64, Matrix{Float64}}}, Graphs.SimpleGraphs.SimpleDiGraph{Int64}}}; kw::@Kwargs{})  @ Base ./reduce.jl:489  [13] find_best_insert(score::Float64, data::CausalInference.GaussianScore{Float64, LinearAlgebra.Symmetric{Float64, Matrix{Float64}}}, g::Graphs.SimpleGraphs.SimpleDiGraph{Int64}, parallel::Bool, verbose::Bool)  @ CausalInference ~/.julia/packages/CausalInference/c2bzn/src/ges.jl:182  [14] ges_forward_search!(g::Graphs.SimpleGraphs.SimpleDiGraph{Int64}, score::Float64, data::CausalInference.GaussianScore{Float64, LinearAlgebra.Symmetric{Float64, Matrix{Float64}}}, parallel::Bool, verbose::Bool)  @ CausalInference ~/.julia/packages/CausalInference/c2bzn/src/ges.jl:124  [15] macro expansion  @ ./timing.jl:503 [inlined]  [16] ges(n::Int64, data::CausalInference.GaussianScore{Float64, LinearAlgebra.Symmetric{Float64, Matrix{Float64}}}; score::Float64, parallel::Bool, verbose::Bool)  @ CausalInference ~/.julia/packages/CausalInference/c2bzn/src/ges.jl:54  [17] CausalInference.GaussianScore(C::LinearAlgebra.Symmetric{Float64, Matrix{Float64}}, n::Int64, penalty::Float64)  @ CausalInference ~/.julia/packages/CausalInference/c2bzn/src/ges.jl:49 [inlined]  [18] ges(X::Matrix{Float64}; method::Symbol, penalty::Float64, parallel::Bool, verbose::Bool)  @ CausalInference ~/.julia/packages/CausalInference/c2bzn/src/ges.jl:34 [inlined]  [19] ges(X::@NamedTuple{x::Vector{Float64}, v::Vector{Float64}, w::Vector{Float64}, z::Vector{Float64}, s::Vector{Float64}}; method::Symbol, penalty::Float64, parallel::Bool, verbose::Bool)  @ CausalInference ~/.julia/packages/CausalInference/c2bzn/src/ges.jl:41 [inlined]  [20] macro expansion  @ ~/.julia/packages/CausalInference/c2bzn/src/workloads.jl:14 [inlined]  [21] macro expansion  @ ~/.julia/packages/PrecompileTools/gn08A/src/workloads.jl:73 [inlined]  [22] macro expansion  @ ~/.julia/packages/CausalInference/c2bzn/src/workloads.jl:13 [inlined]  [23] macro expansion  @ ~/.julia/packages/PrecompileTools/gn08A/src/workloads.jl:121 [inlined]  [24] top-level scope  @ ~/.julia/packages/CausalInference/c2bzn/src/workloads.jl:118  [25] include(mapexpr::Function, mod::Module, _path::String)  @ Base ./Base.jl:327  [26] top-level scope  @ ~/.julia/packages/CausalInference/c2bzn/src/CausalInference.jl:54  [27] include(mod::Module, _path::String)  @ Base ./Base.jl:326  [28] include_package_for_output(pkg::Base.PkgId, input::String, syntax_version::VersionNumber, 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:3271  [29] top-level scope  @ stdin:5  [30] eval(m::Module, e::Any)  @ Core ./boot.jl:517  [31] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:3113  [32] materialize(bc::Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1}, Nothing, Type{Symbol}, Tuple{Vector{SubString{String}}}})  @ Base.Broadcast ./loading.jl:3123 [inlined]  [33] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:350  [34] _start()  @ Base ./client.jl:593 in expression starting at /home/pkgeval/.julia/packages/CausalInference/c2bzn/src/workloads.jl:3 in expression starting at /home/pkgeval/.julia/packages/CausalInference/c2bzn/src/CausalInference.jl:1 in expression starting at stdin:5 ✗ CausalInference Precompilation completed after 42.65s ################################################################################ # Loading # Loading CausalInference... ERROR: LoadError: MethodError: no method matching sorted_intersect_(::Graphs.FrozenVector{Int64}, ::Graphs.FrozenVector{Int64}) The function `sorted_intersect_` exists, but no method is defined for this combination of argument types.  Closest candidates are:  sorted_intersect_(!Matched::Vector{T}, !Matched::Vector{T}) where T  @ CausalInference ~/.julia/packages/CausalInference/c2bzn/src/pdag.jl:171  Stacktrace:  [1] neighbors_undirected(g::Graphs.SimpleGraphs.SimpleDiGraph{Int64}, x::Int64)  @ CausalInference ~/.julia/packages/CausalInference/c2bzn/src/pdag.jl:128  [2] tails_and_adj_neighbors(g::Graphs.SimpleGraphs.SimpleDiGraph{Int64}, x::Int64, y::Int64)  @ CausalInference ~/.julia/packages/CausalInference/c2bzn/src/ges.jl:204  [3] score_edge_inserts(score::Float64, dataParsed::CausalInference.GaussianScore{Float64, LinearAlgebra.Symmetric{Float64, Matrix{Float64}}}, g::Graphs.SimpleGraphs.SimpleDiGraph{Int64}, x::Int64, y::Int64)  @ CausalInference ~/.julia/packages/CausalInference/c2bzn/src/ges.jl:217  [4] (::CausalInference.var"#find_best_insert##4#find_best_insert##5"{Float64, CausalInference.GaussianScore{Float64, LinearAlgebra.Symmetric{Float64, Matrix{Float64}}}, Graphs.SimpleGraphs.SimpleDiGraph{Int64}})(::Tuple{Int64, Int64})  @ CausalInference ./none:-1  [5] _piterate(iter1::Base.OneTo{Int64}, rest::Base.OneTo{Int64})  @ Base.Iterators ./reduce.jl:98 [inlined]  [6] iterate(P::Base.Iterators.ProductIterator{Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}}})  @ Base.Iterators ./reduce.jl:110 [inlined]  [7] _foldl_impl(op::Base.FilteringRF{CausalInference.var"#find_best_insert##6#find_best_insert##7"{Graphs.SimpleGraphs.SimpleDiGraph{Int64}}, Base.MappingRF{CausalInference.var"#find_best_insert##4#find_best_insert##5"{Float64, CausalInference.GaussianScore{Float64, LinearAlgebra.Symmetric{Float64, Matrix{Float64}}}, Graphs.SimpleGraphs.SimpleDiGraph{Int64}}, Base.BottomRF{typeof(CausalInference.best)}}}, init::Base._InitialValue, itr::Base.Iterators.ProductIterator{Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}}})  @ Base ./reduce.jl:60 [inlined]  [8] foldl_impl(op::Base.FilteringRF{CausalInference.var"#find_best_insert##6#find_best_insert##7"{Graphs.SimpleGraphs.SimpleDiGraph{Int64}}, Base.MappingRF{CausalInference.var"#find_best_insert##4#find_best_insert##5"{Float64, CausalInference.GaussianScore{Float64, LinearAlgebra.Symmetric{Float64, Matrix{Float64}}}, Graphs.SimpleGraphs.SimpleDiGraph{Int64}}, Base.BottomRF{typeof(CausalInference.best)}}}, nt::Base._InitialValue, itr::Base.Iterators.ProductIterator{Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}}})  @ Base ./reduce.jl:46  [9] mapfoldl_impl(f::typeof(identity), op::typeof(CausalInference.best), nt::Base._InitialValue, itr::Base.Generator{Base.Iterators.Filter{CausalInference.var"#find_best_insert##6#find_best_insert##7"{Graphs.SimpleGraphs.SimpleDiGraph{Int64}}, Base.Iterators.ProductIterator{Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}}}}, CausalInference.var"#find_best_insert##4#find_best_insert##5"{Float64, CausalInference.GaussianScore{Float64, LinearAlgebra.Symmetric{Float64, Matrix{Float64}}}, Graphs.SimpleGraphs.SimpleDiGraph{Int64}}})  @ Base ./reduce.jl:42  [10] mapfoldl(f::Function, op::Function, itr::Base.Generator{Base.Iterators.Filter{CausalInference.var"#find_best_insert##6#find_best_insert##7"{Graphs.SimpleGraphs.SimpleDiGraph{Int64}}, Base.Iterators.ProductIterator{Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}}}}, CausalInference.var"#find_best_insert##4#find_best_insert##5"{Float64, CausalInference.GaussianScore{Float64, LinearAlgebra.Symmetric{Float64, Matrix{Float64}}}, Graphs.SimpleGraphs.SimpleDiGraph{Int64}}}; init::Base._InitialValue)  @ Base ./reduce.jl:173  [11] mapreduce(f::Function, op::Function, itr::Base.Generator{Base.Iterators.Filter{CausalInference.var"#find_best_insert##6#find_best_insert##7"{Graphs.SimpleGraphs.SimpleDiGraph{Int64}}, Base.Iterators.ProductIterator{Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}}}}, CausalInference.var"#find_best_insert##4#find_best_insert##5"{Float64, CausalInference.GaussianScore{Float64, LinearAlgebra.Symmetric{Float64, Matrix{Float64}}}, Graphs.SimpleGraphs.SimpleDiGraph{Int64}}}; kw::@Kwargs{})  @ Base ./reduce.jl:305  [12] reduce(op::Function, itr::Base.Generator{Base.Iterators.Filter{CausalInference.var"#find_best_insert##6#find_best_insert##7"{Graphs.SimpleGraphs.SimpleDiGraph{Int64}}, Base.Iterators.ProductIterator{Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}}}}, CausalInference.var"#find_best_insert##4#find_best_insert##5"{Float64, CausalInference.GaussianScore{Float64, LinearAlgebra.Symmetric{Float64, Matrix{Float64}}}, Graphs.SimpleGraphs.SimpleDiGraph{Int64}}}; kw::@Kwargs{})  @ Base ./reduce.jl:489  [13] find_best_insert(score::Float64, data::CausalInference.GaussianScore{Float64, LinearAlgebra.Symmetric{Float64, Matrix{Float64}}}, g::Graphs.SimpleGraphs.SimpleDiGraph{Int64}, parallel::Bool, verbose::Bool)  @ CausalInference ~/.julia/packages/CausalInference/c2bzn/src/ges.jl:182  [14] ges_forward_search!(g::Graphs.SimpleGraphs.SimpleDiGraph{Int64}, score::Float64, data::CausalInference.GaussianScore{Float64, LinearAlgebra.Symmetric{Float64, Matrix{Float64}}}, parallel::Bool, verbose::Bool)  @ CausalInference ~/.julia/packages/CausalInference/c2bzn/src/ges.jl:124  [15] macro expansion  @ ./timing.jl:503 [inlined]  [16] ges(n::Int64, data::CausalInference.GaussianScore{Float64, LinearAlgebra.Symmetric{Float64, Matrix{Float64}}}; score::Float64, parallel::Bool, verbose::Bool)  @ CausalInference ~/.julia/packages/CausalInference/c2bzn/src/ges.jl:54  [17] CausalInference.GaussianScore(C::LinearAlgebra.Symmetric{Float64, Matrix{Float64}}, n::Int64, penalty::Float64)  @ CausalInference ~/.julia/packages/CausalInference/c2bzn/src/ges.jl:49 [inlined]  [18] ges(X::Matrix{Float64}; method::Symbol, penalty::Float64, parallel::Bool, verbose::Bool)  @ CausalInference ~/.julia/packages/CausalInference/c2bzn/src/ges.jl:34 [inlined]  [19] ges(X::@NamedTuple{x::Vector{Float64}, v::Vector{Float64}, w::Vector{Float64}, z::Vector{Float64}, s::Vector{Float64}}; method::Symbol, penalty::Float64, parallel::Bool, verbose::Bool)  @ CausalInference ~/.julia/packages/CausalInference/c2bzn/src/ges.jl:41 [inlined]  [20] macro expansion  @ ~/.julia/packages/CausalInference/c2bzn/src/workloads.jl:14 [inlined]  [21] macro expansion  @ ~/.julia/packages/PrecompileTools/gn08A/src/workloads.jl:73 [inlined]  [22] macro expansion  @ ~/.julia/packages/CausalInference/c2bzn/src/workloads.jl:13 [inlined]  [23] macro expansion  @ ~/.julia/packages/PrecompileTools/gn08A/src/workloads.jl:121 [inlined]  [24] top-level scope  @ ~/.julia/packages/CausalInference/c2bzn/src/workloads.jl:118  [25] include(mapexpr::Function, mod::Module, _path::String)  @ Base ./Base.jl:327  [26] top-level scope  @ ~/.julia/packages/CausalInference/c2bzn/src/CausalInference.jl:54  [27] include(mod::Module, _path::String)  @ Base ./Base.jl:326  [28] include_package_for_output(pkg::Base.PkgId, input::String, syntax_version::VersionNumber, 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:3271  [29] top-level scope  @ stdin:5  [30] eval(m::Module, e::Any)  @ Core ./boot.jl:517  [31] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:3113  [32] materialize(bc::Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1}, Nothing, Type{Symbol}, Tuple{Vector{SubString{String}}}})  @ Base.Broadcast ./loading.jl:3123 [inlined]  [33] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:350  [34] _start()  @ Base ./client.jl:593 in expression starting at /home/pkgeval/.julia/packages/CausalInference/c2bzn/src/workloads.jl:3 in expression starting at /home/pkgeval/.julia/packages/CausalInference/c2bzn/src/CausalInference.jl:1 in expression starting at stdin:5 1 dependency had output during precompilation: ┌ CausalInference │ [Output was shown above] └ ERROR: The following 1 package failed to precompile: CausalInference Failed to precompile CausalInference [8e462317-f959-576b-b3c1-403f26cec956] to "/home/pkgeval/.julia/compiled/v1.14/CausalInference/jl_CVO8x8" (ProcessExited(1)). Loading failed after 34.47s ERROR: LoadError: failed process: Process(`/opt/julia/bin/julia -C native -J/opt/julia/lib/julia/sys.so -g1 --check-bounds=yes --inline=yes --check-bounds=yes --pkgimages=existing -e 'using CausalInference'`, ProcessExited(1)) [1] Stacktrace: [1] spawn_opts_inherit() @ Base ./process.jl:612 [inlined] [2] run(::Cmd; wait::Bool) @ Base ./process.jl:525 [3] run(::Cmd) @ Base ./process.jl:522 [4] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:197 [5] include(mod::Module, _path::String) @ Base ./Base.jl:326 [6] exec_options(opts::Base.JLOptions) @ Base ./client.jl:352 [7] _start() @ Base ./client.jl:593 in expression starting at /PkgEval.jl/scripts/evaluate.jl:188 PkgEval failed after 105.67s: package fails to precompile