Package evaluation to load CluGen on Julia 1.14.0-DEV.2226 (797a5ef2b0*) started at 2026-05-23T16:45:12.888 ################################################################################ # Set-up # Set-up completed after 0.13s ################################################################################ # Installation # Installing CluGen... Resolving package versions... Installed CluGen ─ v1.1.0 Updating `~/.julia/environments/v1.14/Project.toml` [48a2e8d8] + CluGen v1.1.0 Updating `~/.julia/environments/v1.14/Manifest.toml` [48a2e8d8] + CluGen v1.1.0 [56f22d72] + Artifacts v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.1+0 [4536629a] + OpenBLAS_jll v0.3.33+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Installation completed after 5.52s ################################################################################ # 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... ┌ Info: JuliaLowering threw given input: │ code = │ :(#= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:52 =# Core.@doc " rand_ortho_vector(\n u::AbstractArray{<:Real,1};\n rng::AbstractRNG=Random.GLOBAL_RNG\n ) -> AbstractArray{<:Real,1}\n\nGet a random unit vector orthogonal to `u`.\n\nNote that `u` is expected to be a unit vector itself.\n\n# Examples\n```jldoctest; setup = :(using LinearAlgebra, Random; Random.seed!(111))\njulia> u = normalize([1, 2, 5.0, -3, -0.2]); # Define a 5D unit vector\n\njulia> v = rand_ortho_vector(u);\n\njulia> ≈(dot(u, v), 0; atol=1e-15) # Vectors orthogonal? (needs LinearAlgebra package)\ntrue\n\njulia> rand_ortho_vector([1, 0, 0]; rng=MersenneTwister(567)) # 3D, reproducible\n3-element Vector{Float64}:\n 0.0\n -0.717797705156548\n 0.6962517177515569\n```\n" function rand_ortho_vector(u::AbstractArray{<:Real, 1}; rng::AbstractRNG = Random.GLOBAL_RNG)::AbstractArray{<:Real, 1} │ #= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:78 =# │ #= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:83 =# │ length(u) == 1 && return rand_unit_vector(1; rng = rng) │ #= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:86 =# │ r = nothing │ #= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:89 =# │ while true │ #= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:92 =# │ r = rand_unit_vector(length(u); rng = rng) │ #= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:95 =# │ if abs(dot(u, r)) ≉ 1 │ #= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:96 =# │ break │ end │ #= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:98 =# │ end │ #= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:101 =# │ v = r - (dot(u, r) / dot(u, u)) .* u │ #= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:104 =# │ normalize!(v) │ #= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:107 =# │ return v │ end) │ st0 = │ SyntaxTree with attributes mod,kind,var_id,toplevel_pure,scope_type,macro_source,name_val,syntax_flags,meta,scope_layer,value,jl_source,is_toplevel_thunk,source,__macro_ctx__ │ [macrocall] │ │ @doc :: Identifier │ mod │ :(#= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:52 =#) :: Value │ │ " rand_ortho_vector(\n u::AbstractArray{<:Real,1};\n rng::AbstractRNG=Random.GLOBAL_RNG\n ) -> AbstractArray{<:Real,1}\n\nGet a random unit vector orthogonal to `u`.\n\nNote that `u` is expected to be a unit vector itself.\n\n# Examples\n```jldoctest; setup = :(using LinearAlgebra, Random; Random.seed!(111))\njulia> u = normalize([1, 2, 5.0, -3, -0.2]); # Define a 5D unit vector\n\njulia> v = rand_ortho_vector(u);\n\njulia> ≈(dot(u, v), 0; atol=1e-15) # Vectors orthogonal? (needs LinearAlgebra package)\ntrue\n\njulia> rand_ortho_vector([1, 0, 0]; rng=MersenneTwister(567)) # 3D, reproducible\n3-element Vector{Float64}:\n 0.0\n -0.717797705156548\n 0.6962517177515569\n```\n" :: Value │ │ [function] │ │ [::] │ │ [call] │ │ rand_ortho_vector :: Identifier │ │ [parameters] │ │ [kw] │ │ [::] │ │ rng :: Identifier │ │ AbstractRNG :: Identifier │ │ [.] │ │ Random :: Identifier │ │ [inert] │ │ GLOBAL_RNG :: Identifier │ │ [::] │ │ u :: Identifier │ │ [curly] │ │ AbstractArray :: Identifier │ │ [<:] │ │ Real :: Identifier │ │ 1 :: Value │ │ [curly] │ │ AbstractArray :: Identifier │ │ [<:] │ │ Real :: Identifier │ │ 1 :: Value │ │ [block] │ │ [&&] │ │ [call] │ │ == :: Identifier │ │ [call] │ │ length :: Identifier │ │ u :: Identifier │ │ 1 :: Value │ │ [return] │ │ [call] │ │ rand_unit_vector :: Identifier │ │ [parameters] │ │ [kw] │ │ rng :: Identifier │ │ rng :: Identifier │ │ 1 :: Value │ │ [=] │ │ r :: Identifier │ │ nothing :: Identifier │ │ [while] │ │ true :: Value │ │ [block] │ │ [=] │ │ r :: Identifier │ │ [call] │ │ rand_unit_vector :: Identifier │ │ [parameters] │ │ [kw] │ │ rng :: Identifier │ │ rng :: Identifier │ │ [call] │ │ length :: Identifier │ │ u :: Identifier │ │ [if] │ │ [call] │ │ ≉ :: Identifier │ │ [call] │ │ abs :: Identifier │ │ [call] │ │ dot :: Identifier │ │ u :: Identifier │ │ r :: Identifier │ │ 1 :: Value │ │ [block] │ │ [break] │ │ [=] │ │ v :: Identifier │ │ [call] │ │ - :: Identifier │ │ r :: Identifier │ │ [call] │ │ .* :: Identifier │ │ [call] │ │ / :: Identifier │ │ [call] │ │ dot :: Identifier │ │ u :: Identifier │ │ r :: Identifier │ │ [call] │ │ dot :: Identifier │ │ u :: Identifier │ │ u :: Identifier │ │ u :: Identifier │ │ [call] │ │ normalize! :: Identifier │ │ v :: Identifier │ │ [return] │ │ v :: Identifier │ │ │ st1 = │ SyntaxTree with attributes mod,kind,var_id,toplevel_pure,scope_type,macro_source,name_val,syntax_flags,meta,scope_layer,value,jl_source,is_toplevel_thunk,source │ [block] │ │ [=] │ │ val :: Identifier │ scope_layer=3 │ [function] │ │ [::] │ │ [call] │ │ rand_ortho_vector :: Identifier │ scope_layer=1 │ [parameters] │ │ [kw] │ │ [::] │ │ rng :: Identifier │ scope_layer=1 │ AbstractRNG :: Identifier │ scope_layer=1 │ [.] │ │ Random :: Identifier │ scope_layer=1 │ [inert] │ │ GLOBAL_RNG :: Identifier │ │ [::] │ │ u :: Identifier │ scope_layer=1 │ [curly] │ │ AbstractArray :: Identifier │ scope_layer=1 │ [<:] │ scope_layer=1 │ Real :: Identifier │ scope_layer=1 │ 1 :: Value │ macro_source=97 │ [curly] │ │ AbstractArray :: Identifier │ scope_layer=1 │ [<:] │ scope_layer=1 │ Real :: Identifier │ scope_layer=1 │ 1 :: Value │ macro_source=97 │ [block] │ │ [&&] │ │ [call] │ │ == :: Identifier │ scope_layer=1 │ [call] │ │ length :: Identifier │ scope_layer=1 │ u :: Identifier │ scope_layer=1 │ 1 :: Value │ macro_source=97 │ [return] │ │ [call] │ │ rand_unit_vector :: Identifier │ scope_layer=1 │ [parameters] │ │ [kw] │ │ rng :: Identifier │ scope_layer=1 │ rng :: Identifier │ scope_layer=1 │ 1 :: Value │ macro_source=97 │ [=] │ │ r :: Identifier │ scope_layer=1 │ nothing :: Identifier │ scope_layer=1 │ [while] │ │ true :: Value │ macro_source=97 │ [block] │ │ [=] │ │ r :: Identifier │ scope_layer=1 │ [call] │ │ rand_unit_vector :: Identifier │ scope_layer=1 │ [parameters] │ │ [kw] │ │ rng :: Identifier │ scope_layer=1 │ rng :: Identifier │ scope_layer=1 │ [call] │ │ length :: Identifier │ scope_layer=1 │ u :: Identifier │ scope_layer=1 │ [if] │ │ [call] │ │ ≉ :: Identifier │ scope_layer=1 │ [call] │ │ abs :: Identifier │ scope_layer=1 │ [call] │ │ dot :: Identifier │ scope_layer=1 │ u :: Identifier │ scope_layer=1 │ r :: Identifier │ scope_layer=1 │ 1 :: Value │ macro_source=97 │ [block] │ macro_source=97 │ [break] │ macro_source=97 │ [=] │ │ v :: Identifier │ scope_layer=1 │ [call] │ │ - :: Identifier │ scope_layer=1 │ r :: Identifier │ scope_layer=1 │ [call] │ │ .* :: Identifier │ scope_layer=1 │ [call] │ │ / :: Identifier │ scope_layer=1 │ [call] │ │ dot :: Identifier │ scope_layer=1 │ u :: Identifier │ scope_layer=1 │ r :: Identifier │ scope_layer=1 │ [call] │ │ dot :: Identifier │ scope_layer=1 │ u :: Identifier │ scope_layer=1 │ u :: Identifier │ scope_layer=1 │ u :: Identifier │ scope_layer=1 │ [call] │ │ normalize! :: Identifier │ scope_layer=1 │ v :: Identifier │ scope_layer=1 │ [return] │ │ v :: Identifier │ scope_layer=1 │ [call] │ │ Base.Docs.doc! :: Value │ macro_source=97 │ CluGen :: Value │ macro_source=97 │ [call] │ │ Base.Docs.Binding :: Value │ macro_source=97 │ CluGen :: Value │ │ [inert] │ jl_source=L65 │ rand_ortho_vector :: Identifier │ │ [call] │ macro_source=97 │ Base.Docs.docstr :: Value │ macro_source=97 │ [call] │ macro_source=97 │ Core.svec :: Value │ macro_source=97 │ " rand_ortho_vector(\n u::AbstractArray{<:Real,1};\n rng::AbstractRNG=Random.GLOBAL_RNG\n ) -> AbstractArray{<:Real,1}\n\nGet a random unit vector orthogonal to `u`.\n\nNote that `u` is expected to be a unit vector itself.\n\n# Examples\n```jldoctest; setup = :(using LinearAlgebra, Random; Random.seed!(111))\njulia> u = normalize([1, 2, 5.0, -3, -0.2]); # Define a 5D unit vector\n\njulia> v = rand_ortho_vector(u);\n\njulia> ≈(dot(u, v), 0; atol=1e-15) # Vectors orthogonal? (needs LinearAlgebra package)\ntrue\n\njulia> rand_ortho_vector([1, 0, 0]; rng=MersenneTwister(567)) # 3D, reproducible\n3-element Vector{Float64}:\n 0.0\n -0.717797705156548\n 0.6962517177515569\n```\n" :: Value │ macro_source=97 │ [call] │ macro_source=97 │ Dict{Symbol, Any} :: Value │ macro_source=97 │ :path => "/home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl" :: Value │ macro_source=97 │ :linenumber => 52 :: Value │ macro_source=97 │ :module => CluGen :: Value │ macro_source=97 │ [curly] │ │ Union :: Identifier │ scope_layer=1 │ [curly] │ │ Tuple :: Identifier │ scope_layer=1 │ [curly] │ │ AbstractArray :: Identifier │ scope_layer=1 │ [<:] │ scope_layer=1 │ Real :: Identifier │ scope_layer=1 │ 1 :: Value │ macro_source=97 │ val :: Identifier │ scope_layer=3 │ │ file = "/home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl" │ line = 52 └ mod = CluGen ERROR: LoadError: internal lowering bug: #= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:78 =# - `jl_assert(!(haskey(ssa_rewrites, lhs_id)), _)`: multiple assignments to ssavalue Expression:  (= #₈ (call core.TypeVar :#T1 #₁₀₅/Real)) Containing expressions:  (= #₈ (call core.TypeVar :#T1 #₁₀₅/Real))  Detailed provenance:  (= #₈ (call core.TypeVar :#T1 #₁₀₅/Real)) @#= /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:366 =#  └─ (= #₈ (call core.TypeVar :#T1 #₂₀/Real)) @#= /source/usr/share/julia/JuliaLowering/src/closure_conversion.jl:197 =#  └─ (= #₈ (call core.TypeVar :#T1 #₂₀/Real)) @#= /source/usr/share/julia/JuliaLowering/src/desugaring.jl:231 =#  └─ (= #₈ (call core.TypeVar :#T1 Real)) @#= /source/usr/share/julia/JuliaLowering/src/desugaring.jl:231 =#  └─ (= #₈ (call core.TypeVar :#T1 Real))  └─ (call core.TypeVar :#T1 Real) @#= /source/usr/share/julia/JuliaLowering/src/desugaring.jl:3025 =#  └─ (<: Real)  └─ (<: Real)  └─ (<: Real)  └─ (<: Real)  ├─ @ /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:78  └─ (macrocall @doc :(#= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:52 =#) " rand_ortho_vector(\n u::AbstractArray{<:Real,1};\n rng::AbstractRNG=Random.GLOBAL_RNG\n ) -> AbstractArray{<:Real,1}\n\nGet a random unit vector orthogonal to `u`.\n\nNote that `u` is expected to be a unit vector itself.\n\n# Examples\n```jldoctest; setup = :(using LinearAlgebra, Random; Random.seed!(111))\njulia> u = normalize([1, 2, 5.0, -3, -0.2]); # Define a 5D unit vector\n\njulia> v = rand_ortho_vector(u);\n\njulia> ≈(dot(u, v), 0; atol=1e-15) # Vectors orthogonal? (needs LinearAlgebra package)\ntrue\n\njulia> rand_ortho_vector([1, 0, 0]; rng=MersenneTwister(567)) # 3D, reproducible\n3-element Vector{Float64}:\n 0.0\n -0.717797705156548\n 0.6962517177515569\n```\n" (function (:: (call rand_ortho_vector (parameters (kw (:: rng AbstractRNG) (. Random (inert GLOBAL_RNG)))) (:: u (curly AbstractArray (<: Real) 1))) (curly AbstractArray (<: Real) 1)) (block (&& (call == (call length u) 1) (return (call rand_unit_vector (parameters (kw rng rng)) 1))) (= r nothing) (while true (block (= r (call rand_unit_vector (parameters (kw rng rng)) (call length u))) (if (call ≉ (call abs (call dot u r)) 1) (block (break))))) (= v (call - r (call .* (call / (call dot u r) (call dot u u)) u))) (call normalize! v) (return v))))  └─ @ /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:52  Stacktrace:  [1] iterate(A::Base.JuliaSyntax.SyntaxList{Dict{Symbol, Dict{Int64, Any}}, Vector{Int64}})  @ Base /source/usr/share/julia/JuliaLowering/src/ast.jl:23 [inlined]  [2] renumber_body(ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, input_code::Base.JuliaSyntax.SyntaxList{Dict{Symbol, Dict{Int64, Any}}, Vector{Int64}}, slot_rewrites::Dict{Int64, Int64})  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1106  [3] compile_lambda(outer_ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}})  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1223  [4] compile(ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}}, needs_value::Bool, in_tail_pos::Bool)  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:851  [5] compile(ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}}, needs_value::Bool, in_tail_pos::Bool)  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:712  [6] compile_body(ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}})  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1007  [7] compile_lambda(outer_ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}})  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1163  [8] linearize_ir(ctx::Base.JuliaLowering.ClosureConversionCtx{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}})  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1253  [9] core_lowering_hook(code::Any, mod::Module, file::String, line::UInt64, world::UInt64, _warn::Bool)  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/hooks.jl:33  [10] include(mapexpr::Function, mod::Module, _path::String)  @ Base ./Base.jl:327  [11] top-level scope  @ ~/.julia/packages/CluGen/7nPXw/src/CluGen.jl:29  [12] include(mod::Module, _path::String)  @ Base ./Base.jl:326  [13] 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  [14] top-level scope  @ stdin:5  [15] eval(m::Module, e::Any)  @ Core ./boot.jl:517  [16] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:3113  [17] push!(a::Vector{SubString{String}}, item::String)  @ Base ./loading.jl:3123 [inlined]  [18] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:353  [19] _start()  @ Base ./client.jl:596 in expression starting at /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:52 in expression starting at /home/pkgeval/.julia/packages/CluGen/7nPXw/src/CluGen.jl:5 in expression starting at stdin:5 ✗ CluGen Precompilation completed after 24.35s ################################################################################ # Loading # Loading CluGen... ┌ Info: JuliaLowering threw given input: │ code = │ :(#= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:52 =# Core.@doc " rand_ortho_vector(\n u::AbstractArray{<:Real,1};\n rng::AbstractRNG=Random.GLOBAL_RNG\n ) -> AbstractArray{<:Real,1}\n\nGet a random unit vector orthogonal to `u`.\n\nNote that `u` is expected to be a unit vector itself.\n\n# Examples\n```jldoctest; setup = :(using LinearAlgebra, Random; Random.seed!(111))\njulia> u = normalize([1, 2, 5.0, -3, -0.2]); # Define a 5D unit vector\n\njulia> v = rand_ortho_vector(u);\n\njulia> ≈(dot(u, v), 0; atol=1e-15) # Vectors orthogonal? (needs LinearAlgebra package)\ntrue\n\njulia> rand_ortho_vector([1, 0, 0]; rng=MersenneTwister(567)) # 3D, reproducible\n3-element Vector{Float64}:\n 0.0\n -0.717797705156548\n 0.6962517177515569\n```\n" function rand_ortho_vector(u::AbstractArray{<:Real, 1}; rng::AbstractRNG = Random.GLOBAL_RNG)::AbstractArray{<:Real, 1} │ #= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:78 =# │ #= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:83 =# │ length(u) == 1 && return rand_unit_vector(1; rng = rng) │ #= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:86 =# │ r = nothing │ #= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:89 =# │ while true │ #= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:92 =# │ r = rand_unit_vector(length(u); rng = rng) │ #= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:95 =# │ if abs(dot(u, r)) ≉ 1 │ #= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:96 =# │ break │ end │ #= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:98 =# │ end │ #= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:101 =# │ v = r - (dot(u, r) / dot(u, u)) .* u │ #= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:104 =# │ normalize!(v) │ #= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:107 =# │ return v │ end) │ st0 = │ SyntaxTree with attributes mod,kind,var_id,toplevel_pure,scope_type,macro_source,name_val,syntax_flags,meta,scope_layer,value,jl_source,is_toplevel_thunk,source,__macro_ctx__ │ [macrocall] │ │ @doc :: Identifier │ mod │ :(#= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:52 =#) :: Value │ │ " rand_ortho_vector(\n u::AbstractArray{<:Real,1};\n rng::AbstractRNG=Random.GLOBAL_RNG\n ) -> AbstractArray{<:Real,1}\n\nGet a random unit vector orthogonal to `u`.\n\nNote that `u` is expected to be a unit vector itself.\n\n# Examples\n```jldoctest; setup = :(using LinearAlgebra, Random; Random.seed!(111))\njulia> u = normalize([1, 2, 5.0, -3, -0.2]); # Define a 5D unit vector\n\njulia> v = rand_ortho_vector(u);\n\njulia> ≈(dot(u, v), 0; atol=1e-15) # Vectors orthogonal? (needs LinearAlgebra package)\ntrue\n\njulia> rand_ortho_vector([1, 0, 0]; rng=MersenneTwister(567)) # 3D, reproducible\n3-element Vector{Float64}:\n 0.0\n -0.717797705156548\n 0.6962517177515569\n```\n" :: Value │ │ [function] │ │ [::] │ │ [call] │ │ rand_ortho_vector :: Identifier │ │ [parameters] │ │ [kw] │ │ [::] │ │ rng :: Identifier │ │ AbstractRNG :: Identifier │ │ [.] │ │ Random :: Identifier │ │ [inert] │ │ GLOBAL_RNG :: Identifier │ │ [::] │ │ u :: Identifier │ │ [curly] │ │ AbstractArray :: Identifier │ │ [<:] │ │ Real :: Identifier │ │ 1 :: Value │ │ [curly] │ │ AbstractArray :: Identifier │ │ [<:] │ │ Real :: Identifier │ │ 1 :: Value │ │ [block] │ │ [&&] │ │ [call] │ │ == :: Identifier │ │ [call] │ │ length :: Identifier │ │ u :: Identifier │ │ 1 :: Value │ │ [return] │ │ [call] │ │ rand_unit_vector :: Identifier │ │ [parameters] │ │ [kw] │ │ rng :: Identifier │ │ rng :: Identifier │ │ 1 :: Value │ │ [=] │ │ r :: Identifier │ │ nothing :: Identifier │ │ [while] │ │ true :: Value │ │ [block] │ │ [=] │ │ r :: Identifier │ │ [call] │ │ rand_unit_vector :: Identifier │ │ [parameters] │ │ [kw] │ │ rng :: Identifier │ │ rng :: Identifier │ │ [call] │ │ length :: Identifier │ │ u :: Identifier │ │ [if] │ │ [call] │ │ ≉ :: Identifier │ │ [call] │ │ abs :: Identifier │ │ [call] │ │ dot :: Identifier │ │ u :: Identifier │ │ r :: Identifier │ │ 1 :: Value │ │ [block] │ │ [break] │ │ [=] │ │ v :: Identifier │ │ [call] │ │ - :: Identifier │ │ r :: Identifier │ │ [call] │ │ .* :: Identifier │ │ [call] │ │ / :: Identifier │ │ [call] │ │ dot :: Identifier │ │ u :: Identifier │ │ r :: Identifier │ │ [call] │ │ dot :: Identifier │ │ u :: Identifier │ │ u :: Identifier │ │ u :: Identifier │ │ [call] │ │ normalize! :: Identifier │ │ v :: Identifier │ │ [return] │ │ v :: Identifier │ │ │ st1 = │ SyntaxTree with attributes mod,kind,var_id,toplevel_pure,scope_type,macro_source,name_val,syntax_flags,meta,scope_layer,value,jl_source,is_toplevel_thunk,source │ [block] │ │ [=] │ │ val :: Identifier │ scope_layer=3 │ [function] │ │ [::] │ │ [call] │ │ rand_ortho_vector :: Identifier │ scope_layer=1 │ [parameters] │ │ [kw] │ │ [::] │ │ rng :: Identifier │ scope_layer=1 │ AbstractRNG :: Identifier │ scope_layer=1 │ [.] │ │ Random :: Identifier │ scope_layer=1 │ [inert] │ │ GLOBAL_RNG :: Identifier │ │ [::] │ │ u :: Identifier │ scope_layer=1 │ [curly] │ │ AbstractArray :: Identifier │ scope_layer=1 │ [<:] │ scope_layer=1 │ Real :: Identifier │ scope_layer=1 │ 1 :: Value │ macro_source=97 │ [curly] │ │ AbstractArray :: Identifier │ scope_layer=1 │ [<:] │ scope_layer=1 │ Real :: Identifier │ scope_layer=1 │ 1 :: Value │ macro_source=97 │ [block] │ │ [&&] │ │ [call] │ │ == :: Identifier │ scope_layer=1 │ [call] │ │ length :: Identifier │ scope_layer=1 │ u :: Identifier │ scope_layer=1 │ 1 :: Value │ macro_source=97 │ [return] │ │ [call] │ │ rand_unit_vector :: Identifier │ scope_layer=1 │ [parameters] │ │ [kw] │ │ rng :: Identifier │ scope_layer=1 │ rng :: Identifier │ scope_layer=1 │ 1 :: Value │ macro_source=97 │ [=] │ │ r :: Identifier │ scope_layer=1 │ nothing :: Identifier │ scope_layer=1 │ [while] │ │ true :: Value │ macro_source=97 │ [block] │ │ [=] │ │ r :: Identifier │ scope_layer=1 │ [call] │ │ rand_unit_vector :: Identifier │ scope_layer=1 │ [parameters] │ │ [kw] │ │ rng :: Identifier │ scope_layer=1 │ rng :: Identifier │ scope_layer=1 │ [call] │ │ length :: Identifier │ scope_layer=1 │ u :: Identifier │ scope_layer=1 │ [if] │ │ [call] │ │ ≉ :: Identifier │ scope_layer=1 │ [call] │ │ abs :: Identifier │ scope_layer=1 │ [call] │ │ dot :: Identifier │ scope_layer=1 │ u :: Identifier │ scope_layer=1 │ r :: Identifier │ scope_layer=1 │ 1 :: Value │ macro_source=97 │ [block] │ macro_source=97 │ [break] │ macro_source=97 │ [=] │ │ v :: Identifier │ scope_layer=1 │ [call] │ │ - :: Identifier │ scope_layer=1 │ r :: Identifier │ scope_layer=1 │ [call] │ │ .* :: Identifier │ scope_layer=1 │ [call] │ │ / :: Identifier │ scope_layer=1 │ [call] │ │ dot :: Identifier │ scope_layer=1 │ u :: Identifier │ scope_layer=1 │ r :: Identifier │ scope_layer=1 │ [call] │ │ dot :: Identifier │ scope_layer=1 │ u :: Identifier │ scope_layer=1 │ u :: Identifier │ scope_layer=1 │ u :: Identifier │ scope_layer=1 │ [call] │ │ normalize! :: Identifier │ scope_layer=1 │ v :: Identifier │ scope_layer=1 │ [return] │ │ v :: Identifier │ scope_layer=1 │ [call] │ │ Base.Docs.doc! :: Value │ macro_source=97 │ CluGen :: Value │ macro_source=97 │ [call] │ │ Base.Docs.Binding :: Value │ macro_source=97 │ CluGen :: Value │ │ [inert] │ jl_source=L65 │ rand_ortho_vector :: Identifier │ │ [call] │ macro_source=97 │ Base.Docs.docstr :: Value │ macro_source=97 │ [call] │ macro_source=97 │ Core.svec :: Value │ macro_source=97 │ " rand_ortho_vector(\n u::AbstractArray{<:Real,1};\n rng::AbstractRNG=Random.GLOBAL_RNG\n ) -> AbstractArray{<:Real,1}\n\nGet a random unit vector orthogonal to `u`.\n\nNote that `u` is expected to be a unit vector itself.\n\n# Examples\n```jldoctest; setup = :(using LinearAlgebra, Random; Random.seed!(111))\njulia> u = normalize([1, 2, 5.0, -3, -0.2]); # Define a 5D unit vector\n\njulia> v = rand_ortho_vector(u);\n\njulia> ≈(dot(u, v), 0; atol=1e-15) # Vectors orthogonal? (needs LinearAlgebra package)\ntrue\n\njulia> rand_ortho_vector([1, 0, 0]; rng=MersenneTwister(567)) # 3D, reproducible\n3-element Vector{Float64}:\n 0.0\n -0.717797705156548\n 0.6962517177515569\n```\n" :: Value │ macro_source=97 │ [call] │ macro_source=97 │ Dict{Symbol, Any} :: Value │ macro_source=97 │ :path => "/home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl" :: Value │ macro_source=97 │ :linenumber => 52 :: Value │ macro_source=97 │ :module => CluGen :: Value │ macro_source=97 │ [curly] │ │ Union :: Identifier │ scope_layer=1 │ [curly] │ │ Tuple :: Identifier │ scope_layer=1 │ [curly] │ │ AbstractArray :: Identifier │ scope_layer=1 │ [<:] │ scope_layer=1 │ Real :: Identifier │ scope_layer=1 │ 1 :: Value │ macro_source=97 │ val :: Identifier │ scope_layer=3 │ │ file = "/home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl" │ line = 52 └ mod = CluGen ERROR: LoadError: internal lowering bug: #= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:78 =# - `jl_assert(!(haskey(ssa_rewrites, lhs_id)), _)`: multiple assignments to ssavalue Expression:  (= #₈ (call core.TypeVar :#T1 #₁₀₅/Real)) Containing expressions:  (= #₈ (call core.TypeVar :#T1 #₁₀₅/Real))  Detailed provenance:  (= #₈ (call core.TypeVar :#T1 #₁₀₅/Real)) @#= /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:366 =#  └─ (= #₈ (call core.TypeVar :#T1 #₂₀/Real)) @#= /source/usr/share/julia/JuliaLowering/src/closure_conversion.jl:197 =#  └─ (= #₈ (call core.TypeVar :#T1 #₂₀/Real)) @#= /source/usr/share/julia/JuliaLowering/src/desugaring.jl:231 =#  └─ (= #₈ (call core.TypeVar :#T1 Real)) @#= /source/usr/share/julia/JuliaLowering/src/desugaring.jl:231 =#  └─ (= #₈ (call core.TypeVar :#T1 Real))  └─ (call core.TypeVar :#T1 Real) @#= /source/usr/share/julia/JuliaLowering/src/desugaring.jl:3025 =#  └─ (<: Real)  └─ (<: Real)  └─ (<: Real)  └─ (<: Real)  ├─ @ /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:78  └─ (macrocall @doc :(#= /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:52 =#) " rand_ortho_vector(\n u::AbstractArray{<:Real,1};\n rng::AbstractRNG=Random.GLOBAL_RNG\n ) -> AbstractArray{<:Real,1}\n\nGet a random unit vector orthogonal to `u`.\n\nNote that `u` is expected to be a unit vector itself.\n\n# Examples\n```jldoctest; setup = :(using LinearAlgebra, Random; Random.seed!(111))\njulia> u = normalize([1, 2, 5.0, -3, -0.2]); # Define a 5D unit vector\n\njulia> v = rand_ortho_vector(u);\n\njulia> ≈(dot(u, v), 0; atol=1e-15) # Vectors orthogonal? (needs LinearAlgebra package)\ntrue\n\njulia> rand_ortho_vector([1, 0, 0]; rng=MersenneTwister(567)) # 3D, reproducible\n3-element Vector{Float64}:\n 0.0\n -0.717797705156548\n 0.6962517177515569\n```\n" (function (:: (call rand_ortho_vector (parameters (kw (:: rng AbstractRNG) (. Random (inert GLOBAL_RNG)))) (:: u (curly AbstractArray (<: Real) 1))) (curly AbstractArray (<: Real) 1)) (block (&& (call == (call length u) 1) (return (call rand_unit_vector (parameters (kw rng rng)) 1))) (= r nothing) (while true (block (= r (call rand_unit_vector (parameters (kw rng rng)) (call length u))) (if (call ≉ (call abs (call dot u r)) 1) (block (break))))) (= v (call - r (call .* (call / (call dot u r) (call dot u u)) u))) (call normalize! v) (return v))))  └─ @ /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:52  Stacktrace:  [1] iterate(A::Base.JuliaSyntax.SyntaxList{Dict{Symbol, Dict{Int64, Any}}, Vector{Int64}})  @ Base /source/usr/share/julia/JuliaLowering/src/ast.jl:23 [inlined]  [2] renumber_body(ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, input_code::Base.JuliaSyntax.SyntaxList{Dict{Symbol, Dict{Int64, Any}}, Vector{Int64}}, slot_rewrites::Dict{Int64, Int64})  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1106  [3] compile_lambda(outer_ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}})  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1223  [4] compile(ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}}, needs_value::Bool, in_tail_pos::Bool)  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:851  [5] compile(ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}}, needs_value::Bool, in_tail_pos::Bool)  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:712  [6] compile_body(ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}})  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1007  [7] compile_lambda(outer_ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}})  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1163  [8] linearize_ir(ctx::Base.JuliaLowering.ClosureConversionCtx{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}})  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1253  [9] core_lowering_hook(code::Any, mod::Module, file::String, line::UInt64, world::UInt64, _warn::Bool)  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/hooks.jl:33  [10] include(mapexpr::Function, mod::Module, _path::String)  @ Base ./Base.jl:327  [11] top-level scope  @ ~/.julia/packages/CluGen/7nPXw/src/CluGen.jl:29  [12] include(mod::Module, _path::String)  @ Base ./Base.jl:326  [13] 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  [14] top-level scope  @ stdin:5  [15] eval(m::Module, e::Any)  @ Core ./boot.jl:517  [16] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:3113  [17] push!(a::Vector{SubString{String}}, item::String)  @ Base ./loading.jl:3123 [inlined]  [18] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:353  [19] _start()  @ Base ./client.jl:596 in expression starting at /home/pkgeval/.julia/packages/CluGen/7nPXw/src/core.jl:52 in expression starting at /home/pkgeval/.julia/packages/CluGen/7nPXw/src/CluGen.jl:5 in expression starting at stdin:5 1 dependency had output during precompilation: ┌ CluGen │ [Output was shown above] └ ERROR: The following 1 package failed to precompile: CluGen Failed to precompile CluGen [48a2e8d8-1966-47f1-a982-993d59b21037] to "/home/pkgeval/.julia/compiled/v1.14/CluGen/jl_DH8KQT" (ProcessExited(1)). Loading failed after 13.25s 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 CluGen'`, 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:355 [7] _start() @ Base ./client.jl:596 in expression starting at /PkgEval.jl/scripts/evaluate.jl:188 PkgEval failed after 62.35s: package fails to precompile