Package evaluation to test ManualNLPModels on Julia 1.14.0-DEV.2637 (b1f508acef*) started at 2026-07-19T13:02:02.153


################################################################################
# Set-up
#

Installing PkgEval dependencies (TestEnv)...
  Activating project at `~/.julia/environments/v1.14`

Set-up completed after 15.44s


################################################################################
# Installation
#

Installing ManualNLPModels...
   Resolving package versions...
    Updating `~/.julia/environments/v1.14/Project.toml`
  [30dfa513] + ManualNLPModels v0.2.0
    Updating `~/.julia/environments/v1.14/Manifest.toml`
  [e2ba6199] + ExprTools v0.1.10
  [9aa1b823] + FastClosures v0.3.2
  [5c8ed15e] + LinearOperators v2.14.2
  [30dfa513] + ManualNLPModels v0.2.0
  [a4795742] + NLPModels v0.21.12
  [a759f4b9] + TimerOutputs v0.5.29
  [56f22d72] + Artifacts v1.11.0
  [8f399da3] + Libdl v1.11.0
  [37e2e46d] + LinearAlgebra v1.14.0
  [de0858da] + Printf v1.11.0
  [9a3f8284] + Random v1.11.0
  [ea8e919c] + SHA v1.13.0
  [9e88b42a] + Serialization v1.11.0
  [2f01184e] + SparseArrays v1.13.0
  [4ec0a83e] + Unicode v1.11.0
  [e66e0078] + CompilerSupportLibraries_jll v1.5.5+2
  [4536629a] + OpenBLAS_jll v0.3.33+0
  [bea87d4a] + SuiteSparse_jll v7.10.1+0
  [8e850b90] + libblastrampoline_jll v5.15.0+0

Installation completed after 4.36s


################################################################################
# Precompilation
#

Precompiling PkgEval dependencies...

Precompiling package dependencies...
Precompiling project...
   3.4 s  ✓ ManualNLPModels
  25.5 s  ✓ LinearOperators → LinearOperatorsCUDAExt
  2 dependencies successfully precompiled in 31 seconds. 111 already precompiled.

Precompilation completed after 67.18s


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# Testing
#

     Testing ManualNLPModels
      Status `/tmp/jl_J7ea58/Project.toml`
  [052768ef] CUDA v6.2.1
  [30dfa513] ManualNLPModels v0.2.0
  [a4795742] NLPModels v0.21.12
  [7998695d] NLPModelsTest v0.10.9
  [37e2e46d] LinearAlgebra v1.14.0
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_J7ea58/Manifest.toml`
  [621f4979] AbstractFFTs v1.5.0
  [79e6a3ab] Adapt v4.7.0
  [a9b6321e] Atomix v1.1.3
  [ab4f0b2a] BFloat16s v0.6.1
  [fa961155] CEnum v0.5.0
  [052768ef] CUDA v6.2.1
  [bd0ed864] CUDACore v6.2.1
  [9ec180c6] CUDATools v6.2.1
  [1af6417a] CUDA_Runtime_Discovery v2.1.0
  [9e67e8f6] CUPTI v6.2.1
  [a8cc5b0e] Crayons v4.2.0
  [9a962f9c] DataAPI v1.16.0
  [e2d170a0] DataValueInterfaces v1.0.0
  [e2ba6199] ExprTools v0.1.10
  [9aa1b823] FastClosures v0.3.2
  [0c68f7d7] GPUArrays v11.5.8
  [46192b85] GPUArraysCore v0.2.0
⌅ [61eb1bfa] GPUCompiler v1.23.0
  [096a3bc2] GPUToolbox v3.0.0
  [076d061b] HashArrayMappedTries v0.2.0
  [82899510] IteratorInterfaceExtensions v1.0.0
  [692b3bcd] JLLWrappers v1.8.0
  [63c18a36] KernelAbstractions v0.9.42
  [929cbde3] LLVM v9.10.1
  [8b046642] LLVMLoopInfo v1.0.0
  [b964fa9f] LaTeXStrings v1.4.0
  [5c8ed15e] LinearOperators v2.14.2
  [1914dd2f] MacroTools v0.5.16
  [30dfa513] ManualNLPModels v0.2.0
  [a4795742] NLPModels v0.21.12
  [e01155f1] NLPModelsModifiers v0.8.0
  [7998695d] NLPModelsTest v0.10.9
  [611af6d1] NVML v6.2.1
  [5da4648a] NVTX v1.0.3
  [bac558e1] OrderedCollections v2.0.1
  [aea7be01] PrecompileTools v1.3.4
  [21216c6a] Preferences v1.5.2
  [08abe8d2] PrettyTables v3.4.2
  [74087812] Random123 v1.7.1
  [e6cf234a] RandomNumbers v1.6.0
  [189a3867] Reexport v1.2.2
  [ae029012] Requires v1.3.1
  [7e506255] ScopedValues v1.6.2
  [6c6a2e73] Scratch v1.3.0
  [90137ffa] StaticArrays v1.9.18
  [1e83bf80] StaticArraysCore v1.4.4
  [10745b16] Statistics v1.11.1
  [892a3eda] StringManipulation v0.4.5
  [3783bdb8] TableTraits v1.0.1
  [bd369af6] Tables v1.13.0
  [a759f4b9] TimerOutputs v0.5.29
  [e689c965] Tracy v0.1.6
  [013be700] UnsafeAtomics v0.3.1
  [182d3088] cuBLAS v6.2.1
  [533571aa] cuFFT v6.2.1
  [20fd9a0b] cuRAND v6.2.1
  [887afef0] cuSOLVER v6.2.1
  [b26da814] cuSPARSE v6.2.1
  [d1e2174e] CUDA_Compiler_jll v0.4.4+1
  [4ee394cb] CUDA_Driver_jll v13.3.0+1
  [76a88914] CUDA_Runtime_jll v0.23.0+1
  [9c1d0b0a] JuliaNVTXCallbacks_jll v0.2.1+0
  [dad2f222] LLVMExtra_jll v0.0.43+1
  [ad6e5548] LibTracyClient_jll v0.13.1+0
  [ef6e0fe3] NVPTX_LLVM_Backend_jll v22.1.7+1
  [e98f9f5b] NVTX_jll v3.2.2+0
  [1e29f10c] demumble_jll v1.3.0+0
  [0dad84c5] ArgTools v1.2.0
  [56f22d72] Artifacts v1.11.0
  [2a0f44e3] Base64 v1.11.0
  [ade2ca70] Dates v1.11.0
  [f43a241f] Downloads v1.7.0
  [7b1f6079] FileWatching v1.11.0
  [b77e0a4c] InteractiveUtils v1.11.0
  [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0
  [4af54fe1] LazyArtifacts v1.11.0
  [b27032c2] LibCURL v1.0.0
  [76f85450] LibGit2 v1.11.0
  [8f399da3] Libdl v1.11.0
  [37e2e46d] LinearAlgebra v1.14.0
  [56ddb016] Logging v1.11.0
  [d6f4376e] Markdown v1.11.0
  [ca575930] NetworkOptions v1.3.0
  [44cfe95a] Pkg v1.14.0
  [de0858da] Printf v1.11.0
  [3fa0cd96] REPL v1.11.0
  [9a3f8284] Random v1.11.0
  [ea8e919c] SHA v1.13.0
  [9e88b42a] Serialization v1.11.0
  [6462fe0b] Sockets v1.11.0
  [2f01184e] SparseArrays v1.13.0
  [f489334b] StyledStrings v1.13.0
  [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 v1.5.5+2
  [deac9b47] LibCURL_jll v8.21.0+0
  [e37daf67] LibGit2_jll v1.9.4+0
  [29816b5a] LibSSH2_jll v1.11.101+0
  [14a3606d] MozillaCACerts_jll v2026.5.14
  [4536629a] OpenBLAS_jll v0.3.33+0
  [458c3c95] OpenSSL_jll v3.5.7+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.
     Testing Running tests...
┌ Warning: accessing `Type.name` is deprecated without replacement. If for detection, use `Base.isType(x)`.
│   caller = NLPModel(x::Vector{Float64}, ℓ::Vector{Float64}, u::Vector{Float64}, args::var"#f#hs5##4"; kwargs::Base.Pairs{Symbol, Any, Nothing, @NamedTuple{grad::var"#grad#hs5##5"{Vector{Float64}}, objgrad::var"#objgrad#hs5##6"{var"#grad#hs5##5"{Vector{Float64}}, var"#f#hs5##4"}, hprod::var"#hprod#hs5##0"{var"#hprod#4#hs5##1"{Vector{Float64}}, Core.TypeEgal{Float64}}, hess_coord::Tuple{Vector{Int64}, Vector{Int64}, var"#hess_coord#hs5##2"{var"#hess_coord#5#hs5##3", Core.TypeEgal{Float64}}}}}) at structure.jl:110
└ @ ManualNLPModels ~/.julia/packages/ManualNLPModels/Lf6KF/src/structure.jl:110
┌ Warning: `NLPModel(x, ℓ, u, args...; kwargs...)` is deprecated, use `NLPModel(x, args...; lvar = ℓ, uvar = u, kwargs...)` instead.
│   caller = ip:0x0
└ @ Core :-1
┌ Warning: accessing `Type.name` is deprecated without replacement. If for detection, use `Base.isType(x)`.
│   caller = NLPModel(x::Vector{Float16}, ℓ::Vector{Float16}, u::Vector{Float16}, args::var"#f#hs5##4"; kwargs::Base.Pairs{Symbol, Any, Nothing, @NamedTuple{grad::var"#grad#hs5##5"{Vector{Float16}}, objgrad::var"#objgrad#hs5##6"{var"#grad#hs5##5"{Vector{Float16}}, var"#f#hs5##4"}, hprod::var"#hprod#hs5##0"{var"#hprod#4#hs5##1"{Vector{Float16}}, Core.TypeEgal{Float16}}, hess_coord::Tuple{Vector{Int64}, Vector{Int64}, var"#hess_coord#hs5##2"{var"#hess_coord#5#hs5##3", Core.TypeEgal{Float16}}}}}) at structure.jl:110
└ @ ManualNLPModels ~/.julia/packages/ManualNLPModels/Lf6KF/src/structure.jl:110
┌ Warning: accessing `Type.name` is deprecated without replacement. If for detection, use `Base.isType(x)`.
│   caller = NLPModel(x::Vector{Float32}, ℓ::Vector{Float32}, u::Vector{Float32}, args::var"#f#hs5##4"; kwargs::Base.Pairs{Symbol, Any, Nothing, @NamedTuple{grad::var"#grad#hs5##5"{Vector{Float32}}, objgrad::var"#objgrad#hs5##6"{var"#grad#hs5##5"{Vector{Float32}}, var"#f#hs5##4"}, hprod::var"#hprod#hs5##0"{var"#hprod#4#hs5##1"{Vector{Float32}}, Core.TypeEgal{Float32}}, hess_coord::Tuple{Vector{Int64}, Vector{Int64}, var"#hess_coord#hs5##2"{var"#hess_coord#5#hs5##3", Core.TypeEgal{Float32}}}}}) at structure.jl:110
└ @ ManualNLPModels ~/.julia/packages/ManualNLPModels/Lf6KF/src/structure.jl:110
┌ Warning: accessing `Type.name` is deprecated without replacement. If for detection, use `Base.isType(x)`.
│   caller = NLPModel(x::Vector{BigFloat}, ℓ::Vector{BigFloat}, u::Vector{BigFloat}, args::var"#f#hs5##4"; kwargs::Base.Pairs{Symbol, Any, Nothing, @NamedTuple{grad::var"#grad#hs5##5"{Vector{BigFloat}}, objgrad::var"#objgrad#hs5##6"{var"#grad#hs5##5"{Vector{BigFloat}}, var"#f#hs5##4"}, hprod::var"#hprod#hs5##0"{var"#hprod#4#hs5##1"{Vector{BigFloat}}, Core.TypeEgal{BigFloat}}, hess_coord::Tuple{Vector{Int64}, Vector{Int64}, var"#hess_coord#hs5##2"{var"#hess_coord#5#hs5##3", Core.TypeEgal{BigFloat}}}}}) at structure.jl:110
└ @ ManualNLPModels ~/.julia/packages/ManualNLPModels/Lf6KF/src/structure.jl:110
Test Summary: | Pass  Total     Time
Problem hs5   |  406    406  8m16.9s
Test Summary: | Pass  Total     Time
Problem hs6   | 1071   1071  7m25.2s
Test Summary:     | Pass  Total   Time
NLS problem mgh01 |   79     79  24.6s
Test Summary:     | Pass  Total   Time
NLS problem mgh04 |   79     79  23.7s
┌ Warning: accessing `Type.name` is deprecated without replacement. If for detection, use `Base.isType(x)`.
│   caller = NLPModel(x::Vector{Float64}, ℓ::Vector{Float64}, u::Vector{Float64}, args::Function; kwargs::Base.Pairs{Symbol, Union{}, Nothing, @NamedTuple{}}) at structure.jl:110
└ @ ManualNLPModels ~/.julia/packages/ManualNLPModels/Lf6KF/src/structure.jl:110
┌ Warning: accessing `Type.name` is deprecated without replacement. If for detection, use `Base.isType(x)`.
│   caller = NLPModel(x::Vector{Float64}, ℓ::Vector{Float64}, u::Vector{Float64}, args::Function; kwargs::Base.Pairs{Symbol, var"#blah#blah##0"{var"#blah#19#20"}, Nothing, @NamedTuple{grad::var"#blah#blah##0"{var"#blah#19#20"}}}) at structure.jl:110
└ @ ManualNLPModels ~/.julia/packages/ManualNLPModels/Lf6KF/src/structure.jl:110
┌ Warning: accessing `Type.name` is deprecated without replacement. If for detection, use `Base.isType(x)`.
│   caller = NLPModel(x::Vector{Float64}, ℓ::Vector{Float64}, u::Vector{Float64}, args::Function; kwargs::Base.Pairs{Symbol, var"#blah#blah##0"{var"#blah#19#20"}, Nothing, @NamedTuple{hprod::var"#blah#blah##0"{var"#blah#19#20"}}}) at structure.jl:110
└ @ ManualNLPModels ~/.julia/packages/ManualNLPModels/Lf6KF/src/structure.jl:110
┌ Warning: accessing `Type.name` is deprecated without replacement. If for detection, use `Base.isType(x)`.
│   caller = NLPModel(x::Vector{Float64}, ℓ::Vector{Float64}, u::Vector{Float64}, args::Function; kwargs::Base.Pairs{Symbol, Tuple{Vector{Int64}, Vector{Int64}, var"#blah#blah##0"{var"#blah#19#20"}}, Nothing, @NamedTuple{hess_coord::Tuple{Vector{Int64}, Vector{Int64}, var"#blah#blah##0"{var"#blah#19#20"}}}}) at structure.jl:110
└ @ ManualNLPModels ~/.julia/packages/ManualNLPModels/Lf6KF/src/structure.jl:110
┌ Warning: accessing `Type.name` is deprecated without replacement. If for detection, use `Base.isType(x)`.
│   caller = NLPModel(x::Vector{Float64}, ℓ::Vector{Float64}, u::Vector{Float64}, args::Function; kwargs::Base.Pairs{Symbol, Tuple{var"#blah#blah##0"{var"#blah#19#20"}, Vector{Float64}, Vector{Float64}}, Nothing, @NamedTuple{cons::Tuple{var"#blah#blah##0"{var"#blah#19#20"}, Vector{Float64}, Vector{Float64}}}}) at structure.jl:110
└ @ ManualNLPModels ~/.julia/packages/ManualNLPModels/Lf6KF/src/structure.jl:110
┌ Warning: accessing `Type.name` is deprecated without replacement. If for detection, use `Base.isType(x)`.
│   caller = NLPModel(x::Vector{Float64}, ℓ::Vector{Float64}, u::Vector{Float64}, args::Function; kwargs::Base.Pairs{Symbol, var"#blah#blah##0"{var"#blah#19#20"}, Nothing, @NamedTuple{jprod::var"#blah#blah##0"{var"#blah#19#20"}}}) at structure.jl:110
└ @ ManualNLPModels ~/.julia/packages/ManualNLPModels/Lf6KF/src/structure.jl:110
┌ Warning: accessing `Type.name` is deprecated without replacement. If for detection, use `Base.isType(x)`.
│   caller = NLPModel(x::Vector{Float64}, ℓ::Vector{Float64}, u::Vector{Float64}, args::Function; kwargs::Base.Pairs{Symbol, var"#blah#blah##0"{var"#blah#19#20"}, Nothing, @NamedTuple{jtprod::var"#blah#blah##0"{var"#blah#19#20"}}}) at structure.jl:110
└ @ ManualNLPModels ~/.julia/packages/ManualNLPModels/Lf6KF/src/structure.jl:110
┌ Warning: accessing `Type.name` is deprecated without replacement. If for detection, use `Base.isType(x)`.
│   caller = NLPModel(x::Vector{Float64}, ℓ::Vector{Float64}, u::Vector{Float64}, args::Function; kwargs::Base.Pairs{Symbol, Tuple{Vector{Int64}, Vector{Int64}, var"#blah#blah##0"{var"#blah#19#20"}}, Nothing, @NamedTuple{jac_coord::Tuple{Vector{Int64}, Vector{Int64}, var"#blah#blah##0"{var"#blah#19#20"}}}}) at structure.jl:110
└ @ ManualNLPModels ~/.julia/packages/ManualNLPModels/Lf6KF/src/structure.jl:110
Test Summary:         | Pass  Total  Time
Not implemented tests |  154    154  9.4s
     Testing ManualNLPModels tests passed 

Testing completed after 1046.87s

PkgEval succeeded after 1168.47s