Package evaluation of MadNLPGPU on Julia 1.13.0-DEV.943 (cce193b1aa*) started at 2025-08-02T10:45:03.465 ################################################################################ # Set-up # Set-up completed after 0.22s ################################################################################ # Installation # Installing MadNLPGPU... Resolving package versions... Installed Adapt ─────────────────────── v4.3.0 Installed LLVMExtra_jll ─────────────── v0.0.37+2 Installed InlineStrings ─────────────── v1.4.4 Installed NVTX ──────────────────────── v1.0.1 Installed MacroTools ────────────────── v0.5.16 Installed DataStructures ────────────── v0.18.22 Installed GPUCompiler ───────────────── v1.6.1 Installed SolverCore ────────────────── v0.3.8 Installed LibTracyClient_jll ────────── v0.9.1+6 Installed OrderedCollections ────────── v1.8.1 Installed ExprTools ─────────────────── v0.1.10 Installed demumble_jll ──────────────── v1.3.0+0 Installed Random123 ─────────────────── v1.7.1 Installed NLPModels ─────────────────── v0.21.5 Installed HashArrayMappedTries ──────── v0.2.0 Installed Compat ────────────────────── v4.18.0 Installed IteratorInterfaceExtensions ─ v1.0.0 Installed NVTX_jll ──────────────────── v3.2.1+0 Installed DataAPI ───────────────────── v1.16.0 Installed LDLFactorizations ─────────── v0.10.1 Installed Statistics ────────────────── v1.11.1 Installed InvertedIndices ───────────── v1.3.1 Installed MadNLPGPU ─────────────────── v0.7.10 Installed Atomix ────────────────────── v1.1.1 Installed MadNLP ────────────────────── v0.8.8 Installed PrecompileTools ───────────── v1.3.2 Installed GPUArrays ─────────────────── v11.2.3 Installed RandomNumbers ─────────────── v1.6.0 Installed Colors ────────────────────── v0.13.1 Installed TimerOutputs ──────────────── v0.5.29 Installed CUDA ──────────────────────── v5.8.2 Installed DataValueInterfaces ───────── v1.0.0 Installed CEnum ─────────────────────── v0.5.0 Installed SentinelArrays ────────────── v1.4.8 Installed JuliaNVTXCallbacks_jll ────── v0.2.1+0 Installed StaticArraysCore ──────────── v1.4.3 Installed LinearOperators ───────────── v2.10.0 Installed Metis ─────────────────────── v1.5.0 Installed CUDA_Runtime_jll ──────────── v0.17.1+0 Installed StaticArrays ──────────────── v1.9.14 Installed CUDA_Runtime_Discovery ────── v0.3.5 Installed GPUArraysCore ─────────────── v0.2.0 Installed AbstractFFTs ──────────────── v1.5.0 Installed ColorTypes ────────────────── v0.12.1 Installed Requires ──────────────────── v1.3.1 Installed StringManipulation ────────── v0.4.1 Installed Tracy ─────────────────────── v0.1.5 Installed LLVM ──────────────────────── v9.4.2 Installed FastClosures ──────────────── v0.3.2 Installed CUDA_Driver_jll ───────────── v0.13.1+0 Installed ScopedValues ──────────────── v1.4.0 Installed UnsafeAtomics ─────────────── v0.3.0 Installed KernelAbstractions ────────── v0.9.38 Installed AMD ───────────────────────── v0.5.3 Installed PrettyTables ──────────────── v2.4.0 Installed CUDSS_jll ─────────────────── v0.6.0+0 Installed Reexport ──────────────────── v1.2.2 Installed Tables ────────────────────── v1.12.1 Installed GPUToolbox ────────────────── v0.2.0 Installed Missings ──────────────────── v1.2.0 Installed Scratch ───────────────────── v1.3.0 Installed FixedPointNumbers ─────────── v0.8.5 Installed Preferences ───────────────── v1.4.3 Installed DataFrames ────────────────── v1.7.0 Installed PooledArrays ──────────────── v1.4.3 Installed JLLWrappers ───────────────── v1.7.1 Installed LaTeXStrings ──────────────── v1.4.0 Installed TableTraits ───────────────── v1.0.1 Installed BFloat16s ─────────────────── v0.5.1 Installed SortingAlgorithms ─────────── v1.2.1 Installed CUDSS ─────────────────────── v0.5.0 Installed Crayons ───────────────────── v4.1.1 Installed LLVMLoopInfo ──────────────── v1.0.0 Installed METIS_jll ─────────────────── v5.1.3+0 Installing 7 artifacts Installed artifact NVTX 13.7 KiB Installed artifact JuliaNVTXCallbacks 8.6 KiB Installed artifact demumble 322.0 KiB Installed artifact LibTracyClient 436.3 KiB Installed artifact LLVMExtra 3.2 MiB Installed artifact METIS 1.1 MiB Installed artifact CUDA_Driver 70.8 MiB Updating `~/.julia/environments/v1.13/Project.toml` [d72a61cc] + MadNLPGPU v0.7.10 Updating `~/.julia/environments/v1.13/Manifest.toml` Precompiling packages... 2728.7 ms ✓ Preferences 805.4 ms ✓ JLLWrappers 1570.2 ms ✓ CUDA_Driver_jll 3 dependencies successfully precompiled in 5 seconds. 26 already precompiled. Precompiling packages... 6200.6 ms ✓ CUDA_Runtime_jll 1 dependency successfully precompiled in 6 seconds. 30 already precompiled. [14f7f29c] + AMD v0.5.3 [621f4979] + AbstractFFTs v1.5.0 [79e6a3ab] + Adapt v4.3.0 [a9b6321e] + Atomix v1.1.1 [ab4f0b2a] + BFloat16s v0.5.1 [fa961155] + CEnum v0.5.0 [052768ef] + CUDA v5.8.2 ⌅ [1af6417a] + CUDA_Runtime_Discovery v0.3.5 ⌃ [45b445bb] + CUDSS v0.5.0 [3da002f7] + ColorTypes v0.12.1 [5ae59095] + Colors v0.13.1 [34da2185] + Compat v4.18.0 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [a93c6f00] + DataFrames v1.7.0 ⌅ [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [e2ba6199] + ExprTools v0.1.10 [9aa1b823] + FastClosures v0.3.2 [53c48c17] + FixedPointNumbers v0.8.5 [0c68f7d7] + GPUArrays v11.2.3 [46192b85] + GPUArraysCore v0.2.0 [61eb1bfa] + GPUCompiler v1.6.1 ⌅ [096a3bc2] + GPUToolbox v0.2.0 [076d061b] + HashArrayMappedTries v0.2.0 [842dd82b] + InlineStrings v1.4.4 [41ab1584] + InvertedIndices v1.3.1 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.1 [63c18a36] + KernelAbstractions v0.9.38 [40e66cde] + LDLFactorizations v0.10.1 [929cbde3] + LLVM v9.4.2 [8b046642] + LLVMLoopInfo v1.0.0 [b964fa9f] + LaTeXStrings v1.4.0 [5c8ed15e] + LinearOperators v2.10.0 [1914dd2f] + MacroTools v0.5.16 [2621e9c9] + MadNLP v0.8.8 [d72a61cc] + MadNLPGPU v0.7.10 [2679e427] + Metis v1.5.0 [e1d29d7a] + Missings v1.2.0 [a4795742] + NLPModels v0.21.5 [5da4648a] + NVTX v1.0.1 [bac558e1] + OrderedCollections v1.8.1 [2dfb63ee] + PooledArrays v1.4.3 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 [08abe8d2] + PrettyTables v2.4.0 [74087812] + Random123 v1.7.1 [e6cf234a] + RandomNumbers v1.6.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [7e506255] + ScopedValues v1.4.0 [6c6a2e73] + Scratch v1.3.0 [91c51154] + SentinelArrays v1.4.8 [ff4d7338] + SolverCore v0.3.8 [a2af1166] + SortingAlgorithms v1.2.1 [90137ffa] + StaticArrays v1.9.14 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [892a3eda] + StringManipulation v0.4.1 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [a759f4b9] + TimerOutputs v0.5.29 [e689c965] + Tracy v0.1.5 [013be700] + UnsafeAtomics v0.3.0 ⌅ [4ee394cb] + CUDA_Driver_jll v0.13.1+0 ⌅ [76a88914] + CUDA_Runtime_jll v0.17.1+0 [4889d778] + CUDSS_jll v0.6.0+0 [9c1d0b0a] + JuliaNVTXCallbacks_jll v0.2.1+0 [dad2f222] + LLVMExtra_jll v0.0.37+2 [ad6e5548] + LibTracyClient_jll v0.9.1+6 [d00139f3] + METIS_jll v5.1.3+0 [e98f9f5b] + NVTX_jll v3.2.1+0 [1e29f10c] + demumble_jll v1.3.0+0 [0dad84c5] + ArgTools v1.1.2 [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 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [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 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.13.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.11.0 [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 v1.3.0+1 [deac9b47] + LibCURL_jll v8.15.0+0 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.7.15 [4536629a] + OpenBLAS_jll v0.3.29+0 [458c3c95] + OpenSSL_jll v3.5.1+0 [efcefdf7] + PCRE2_jll v10.45.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.13.1+0 [8e850ede] + nghttp2_jll v1.65.0+0 [3f19e933] + p7zip_jll v17.5.0+2 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Installation completed after 31.32s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... No packages added to or removed from `~/.julia/environments/pkgeval/Project.toml` No packages added to or removed from `~/.julia/environments/pkgeval/Manifest.toml` Precompiling package dependencies... Precompiling packages... 932.0 ms ✓ Preferences 925.0 ms ✓ JLLWrappers 952.9 ms ✓ CUDA_Driver_jll 3 dependencies successfully precompiled in 3 seconds. 26 already precompiled. Precompiling packages... 4556.8 ms ✓ CUDA_Runtime_jll 1 dependency successfully precompiled in 5 seconds. 30 already precompiled. Precompiling packages... 1096.4 ms ✓ HashArrayMappedTries 4336.1 ms ✓ MacroTools 1269.0 ms ✓ OrderedCollections 763.3 ms ✓ IteratorInterfaceExtensions 841.9 ms ✓ CEnum 1713.3 ms ✓ Crayons 801.6 ms ✓ FastClosures 1098.6 ms ✓ Statistics 894.1 ms ✓ StaticArraysCore 801.7 ms ✓ Reexport 1752.8 ms ✓ CUDA_Runtime_Discovery 1624.8 ms ✓ RandomNumbers 1678.2 ms ✓ AMD 838.0 ms ✓ DataAPI 826.3 ms ✓ DataValueInterfaces 983.2 ms ✓ AbstractFFTs 1489.1 ms ✓ InlineStrings 804.8 ms ✓ ExprTools 819.8 ms ✓ LaTeXStrings 1141.4 ms ✓ SuiteSparse 818.4 ms ✓ LLVMLoopInfo 852.4 ms ✓ InvertedIndices 843.0 ms ✓ GPUToolbox 3925.2 ms ✓ UnsafeAtomics 1158.8 ms ✓ Requires 1066.6 ms ✓ BFloat16s 3537.2 ms ✓ SentinelArrays 1257.2 ms ✓ Scratch 1227.9 ms ✓ Compat 911.0 ms ✓ PrecompileTools 1317.1 ms ✓ NVTX_jll 1410.9 ms ✓ LibTracyClient_jll 1518.5 ms ✓ METIS_jll 1506.2 ms ✓ JuliaNVTXCallbacks_jll 4864.7 ms ✓ LLVMExtra_jll 1242.6 ms ✓ demumble_jll 5419.2 ms ✓ CUDSS_jll 878.3 ms ✓ ScopedValues 744.0 ms ✓ TableTraits 1296.5 ms ✓ Statistics → SparseArraysExt 3721.1 ms ✓ FixedPointNumbers 1757.0 ms ✓ Random123 1491.0 ms ✓ LDLFactorizations 988.4 ms ✓ PooledArrays 954.9 ms ✓ Missings 3585.1 ms ✓ AbstractFFTs → AbstractFFTsTestExt 3042.7 ms ✓ TimerOutputs 1088.0 ms ✓ Atomix 906.6 ms ✓ Adapt 845.6 ms ✓ Compat → CompatLinearAlgebraExt 12440.8 ms ✓ StaticArrays 3093.7 ms ✓ StringManipulation 2511.9 ms ✓ Tracy 2622.9 ms ✓ Metis 19624.8 ms ✓ LLVM 1652.7 ms ✓ Tables 2726.0 ms ✓ ColorTypes 3858.7 ms ✓ LinearOperators 911.0 ms ✓ GPUArraysCore 929.0 ms ✓ Adapt → AdaptSparseArraysExt 2966.5 ms ✓ DataStructures 1113.8 ms ✓ StaticArrays → StaticArraysStatisticsExt 1124.4 ms ✓ Adapt → AdaptStaticArraysExt 3637.6 ms ✓ LLVM → BFloat16sExt 63214.7 ms ✓ GPUCompiler 7892.6 ms ✓ UnsafeAtomics → UnsafeAtomicsLLVM 26535.4 ms ✓ PrettyTables 7898.7 ms ✓ Colors 1255.6 ms ✓ ColorTypes → StyledStringsExt 2055.0 ms ✓ LinearOperators → LinearOperatorsLDLFactorizationsExt 3222.5 ms ✓ NLPModels 1666.7 ms ✓ SortingAlgorithms 8219.6 ms ✓ KernelAbstractions 2739.5 ms ✓ NVTX 2552.9 ms ✓ SolverCore 81452.1 ms ✓ DataFrames 3042.1 ms ✓ KernelAbstractions → SparseArraysExt 2232.7 ms ✓ KernelAbstractions → LinearAlgebraExt 8043.5 ms ✓ MadNLP 14330.4 ms ✓ GPUArrays ✗ CUDA ✗ Atomix → AtomixCUDAExt ✗ LinearOperators → LinearOperatorsCUDAExt ✗ CUDSS ✗ MadNLPGPU 80 dependencies successfully precompiled in 981 seconds. 37 already precompiled. ERROR: LoadError: The following 1 direct dependency failed to precompile: MadNLPGPU Failed to precompile MadNLPGPU [d72a61cc-809d-412f-99be-fd81f4b8a598] to "/home/pkgeval/.julia/compiled/v1.13/MadNLPGPU/jl_qbkcif" (ProcessExited(1)). WARNING: Constructor for type "Int" was extended in `CUDA` without explicit qualification or import. NOTE: Assumed "Int" refers to `Base.Int`. This behavior is deprecated and may differ in future versions. NOTE: This behavior may have differed in Julia versions prior to 1.12. Hint: If you intended to create a new generic function of the same name, use `function Int end`. Hint: To silence the warning, qualify `Int` as `Base.Int` in the method signature or explicitly `import Base: Int`. WARNING: Constructor for type "UInt" was extended in `CUDA` without explicit qualification or import. NOTE: Assumed "UInt" refers to `Base.UInt`. This behavior is deprecated and may differ in future versions. NOTE: This behavior may have differed in Julia versions prior to 1.12. Hint: If you intended to create a new generic function of the same name, use `function UInt end`. Hint: To silence the warning, qualify `UInt` as `Base.UInt` in the method signature or explicitly `import Base: UInt`. WARNING: Constructor for type "BroadcastStyle" was extended in `CUDA` without explicit qualification or import. NOTE: Assumed "BroadcastStyle" refers to `Broadcast.BroadcastStyle`. This behavior is deprecated and may differ in future versions. NOTE: This behavior may have differed in Julia versions prior to 1.12. Hint: If you intended to create a new generic function of the same name, use `function BroadcastStyle end`. Hint: To silence the warning, qualify `BroadcastStyle` as `Broadcast.BroadcastStyle` in the method signature or explicitly `import Broadcast: BroadcastStyle`. WARNING: Constructor for type "CuArray" was extended in `CUBLAS` without explicit qualification or import. NOTE: Assumed "CuArray" refers to `CUDA.CuArray`. This behavior is deprecated and may differ in future versions. NOTE: This behavior may have differed in Julia versions prior to 1.12. Hint: If you intended to create a new generic function of the same name, use `function CuArray end`. Hint: To silence the warning, qualify `CuArray` as `CUDA.CuArray` in the method signature or explicitly `import CUDA: CuArray`. WARNING: Constructor for type "SparseVector" was extended in `CUSPARSE` without explicit qualification or import. NOTE: Assumed "SparseVector" refers to `SparseArrays.SparseVector`. This behavior is deprecated and may differ in future versions. NOTE: This behavior may have differed in Julia versions prior to 1.12. Hint: If you intended to create a new generic function of the same name, use `function SparseVector end`. Hint: To silence the warning, qualify `SparseVector` as `SparseArrays.SparseVector` in the method signature or explicitly `import SparseArrays: SparseVector`. WARNING: Constructor for type "SparseMatrixCSC" was extended in `CUSPARSE` without explicit qualification or import. NOTE: Assumed "SparseMatrixCSC" refers to `SparseArrays.SparseMatrixCSC`. This behavior is deprecated and may differ in future versions. NOTE: This behavior may have differed in Julia versions prior to 1.12. Hint: If you intended to create a new generic function of the same name, use `function SparseMatrixCSC end`. Hint: To silence the warning, qualify `SparseMatrixCSC` as `SparseArrays.SparseMatrixCSC` in the method signature or explicitly `import SparseArrays: SparseMatrixCSC`. WARNING: Constructor for type "CuVector" was extended in `CUSPARSE` without explicit qualification or import. NOTE: Assumed "CuVector" refers to `CUDA.CuVector`. This behavior is deprecated and may differ in future versions. NOTE: This behavior may have differed in Julia versions prior to 1.12. Hint: If you intended to create a new generic function of the same name, use `function CuVector end`. Hint: To silence the warning, qualify `CuVector` as `CUDA.CuVector` in the method signature or explicitly `import CUDA: CuVector`. WARNING: Constructor for type "CuMatrix" was extended in `CUSOLVER` without explicit qualification or import. NOTE: Assumed "CuMatrix" refers to `CUDA.CuMatrix`. This behavior is deprecated and may differ in future versions. NOTE: This behavior may have differed in Julia versions prior to 1.12. Hint: If you intended to create a new generic function of the same name, use `function CuMatrix end`. Hint: To silence the warning, qualify `CuMatrix` as `CUDA.CuMatrix` in the method signature or explicitly `import CUDA: CuMatrix`. WARNING: Constructor for type "CuArray" was extended in `CUSOLVER` without explicit qualification or import. NOTE: Assumed "CuArray" refers to `CUDA.CuArray`. This behavior is deprecated and may differ in future versions. NOTE: This behavior may have differed in Julia versions prior to 1.12. Hint: If you intended to create a new generic function of the same name, use `function CuArray end`. Hint: To silence the warning, qualify `CuArray` as `CUDA.CuArray` in the method signature or explicitly `import CUDA: CuArray`. ERROR: LoadError: TypeError: in ccall function name, expected Symbol, got a value of type Expr Stacktrace: [1] top-level scope @ ~/.julia/packages/CUDA/ja0IX/lib/nvml/libnvml.jl:1671 [2] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:312 [3] top-level scope @ ~/.julia/packages/CUDA/ja0IX/lib/nvml/NVML.jl:57 [4] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:312 [5] top-level scope @ ~/.julia/packages/CUDA/ja0IX/src/CUDA.jl:132 [6] include(mod::Module, _path::String) @ Base ./Base.jl:311 [7] 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::String) @ Base ./loading.jl:3002 [8] top-level scope @ stdin:5 [9] eval(m::Module, e::Any) @ Core ./boot.jl:489 [10] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base ./loading.jl:2848 [11] include_string @ ./loading.jl:2858 [inlined] [12] exec_options(opts::Base.JLOptions) @ Base ./client.jl:318 [13] _start() @ Base ./client.jl:553 in expression starting at /home/pkgeval/.julia/packages/CUDA/ja0IX/lib/nvml/libnvml.jl:1671 in expression starting at /home/pkgeval/.julia/packages/CUDA/ja0IX/lib/nvml/NVML.jl:1 in expression starting at /home/pkgeval/.julia/packages/CUDA/ja0IX/src/CUDA.jl:1 in expression starting at stdin:5 ERROR: LoadError: Failed to precompile CUDA [052768ef-5323-5732-b1bb-66c8b64840ba] to "/home/pkgeval/.julia/compiled/v1.13/CUDA/jl_5uTwFc" (ProcessExited(1)). Stacktrace: [1] error(s::String) @ Base ./error.jl:44 [2] compilecache(pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool; flags::Cmd, cacheflags::Base.CacheFlags, reasons::Dict{String, Int64}, loadable_exts::Nothing) @ Base ./loading.jl:3289 [3] kwcall(::@NamedTuple{reasons::Dict{String, Int64}, loadable_exts::Nothing}, ::typeof(Base.compilecache), pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool) @ Base ./loading.jl:3167 [4] (::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId})() @ Base ./loading.jl:2654 [5] mkpidlock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, at::String, pid::Int32; kwopts::@Kwargs{stale_age::Int64, wait::Bool}) @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:94 [6] #mkpidlock#7 @ /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:89 [inlined] [7] trymkpidlock(::Function, ::Vararg{Any}; kwargs::@Kwargs{stale_age::Int64}) @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:115 [8] #invokelatest_gr#235 @ ./reflection.jl:1333 [inlined] [9] invokelatest_gr @ ./reflection.jl:1325 [inlined] [10] maybe_cachefile_lock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, pkg::Base.PkgId, srcpath::String; stale_age::Int64) @ Base ./loading.jl:3860 [11] maybe_cachefile_lock @ ./loading.jl:3857 [inlined] [12] __require_prelocked(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2640 [13] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2468 [14] macro expansion @ ./loading.jl:2396 [inlined] [15] macro expansion @ ./lock.jl:376 [inlined] [16] __require(into::Module, mod::Symbol) @ Base ./loading.jl:2360 [17] require @ ./loading.jl:2336 [inlined] [18] eval_import_path @ ./module.jl:36 [inlined] [19] eval_import_path_all(at::Module, path::Expr, keyword::String) @ Base ./module.jl:60 [20] _eval_import(::Bool, ::Module, ::Expr, ::Expr, ::Vararg{Expr}) @ Base ./module.jl:101 [21] top-level scope @ ~/.julia/packages/MadNLPGPU/9kq8M/src/MadNLPGPU.jl:7 [22] include(mod::Module, _path::String) @ Base ./Base.jl:311 [23] 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:3002 [24] top-level scope @ stdin:5 [25] eval(m::Module, e::Any) @ Core ./boot.jl:489 [26] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base ./loading.jl:2848 [27] include_string @ ./loading.jl:2858 [inlined] [28] exec_options(opts::Base.JLOptions) @ Base ./client.jl:318 [29] _start() @ Base ./client.jl:553 in expression starting at /home/pkgeval/.julia/packages/MadNLPGPU/9kq8M/src/MadNLPGPU.jl:1 in expression starting at stdin: in expression starting at /PkgEval.jl/scripts/precompile.jl:37 Precompilation failed after 998.18s ################################################################################ # Loading # Loading MadNLPGPU... Precompiling packages... ✗ CUDA ✗ Atomix → AtomixCUDAExt ✗ LinearOperators → LinearOperatorsCUDAExt ✗ CUDSS Info Given MadNLPGPU was explicitly requested, output will be shown live  WARNING: Constructor for type "Int" was extended in `CUDA` without explicit qualification or import.  NOTE: Assumed "Int" refers to `Base.Int`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function Int end`.  Hint: To silence the warning, qualify `Int` as `Base.Int` in the method signature or explicitly `import Base: Int`. WARNING: Constructor for type "UInt" was extended in `CUDA` without explicit qualification or import.  NOTE: Assumed "UInt" refers to `Base.UInt`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function UInt end`.  Hint: To silence the warning, qualify `UInt` as `Base.UInt` in the method signature or explicitly `import Base: UInt`. WARNING: Constructor for type "BroadcastStyle" was extended in `CUDA` without explicit qualification or import.  NOTE: Assumed "BroadcastStyle" refers to `Broadcast.BroadcastStyle`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function BroadcastStyle end`.  Hint: To silence the warning, qualify `BroadcastStyle` as `Broadcast.BroadcastStyle` in the method signature or explicitly `import Broadcast: BroadcastStyle`. WARNING: Constructor for type "CuArray" was extended in `CUBLAS` without explicit qualification or import.  NOTE: Assumed "CuArray" refers to `CUDA.CuArray`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function CuArray end`.  Hint: To silence the warning, qualify `CuArray` as `CUDA.CuArray` in the method signature or explicitly `import CUDA: CuArray`. WARNING: Constructor for type "SparseVector" was extended in `CUSPARSE` without explicit qualification or import.  NOTE: Assumed "SparseVector" refers to `SparseArrays.SparseVector`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function SparseVector end`.  Hint: To silence the warning, qualify `SparseVector` as `SparseArrays.SparseVector` in the method signature or explicitly `import SparseArrays: SparseVector`. WARNING: Constructor for type "SparseMatrixCSC" was extended in `CUSPARSE` without explicit qualification or import.  NOTE: Assumed "SparseMatrixCSC" refers to `SparseArrays.SparseMatrixCSC`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function SparseMatrixCSC end`.  Hint: To silence the warning, qualify `SparseMatrixCSC` as `SparseArrays.SparseMatrixCSC` in the method signature or explicitly `import SparseArrays: SparseMatrixCSC`. WARNING: Constructor for type "CuVector" was extended in `CUSPARSE` without explicit qualification or import.  NOTE: Assumed "CuVector" refers to `CUDA.CuVector`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function CuVector end`.  Hint: To silence the warning, qualify `CuVector` as `CUDA.CuVector` in the method signature or explicitly `import CUDA: CuVector`. WARNING: Constructor for type "CuMatrix" was extended in `CUSOLVER` without explicit qualification or import.  NOTE: Assumed "CuMatrix" refers to `CUDA.CuMatrix`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function CuMatrix end`.  Hint: To silence the warning, qualify `CuMatrix` as `CUDA.CuMatrix` in the method signature or explicitly `import CUDA: CuMatrix`. WARNING: Constructor for type "CuArray" was extended in `CUSOLVER` without explicit qualification or import.  NOTE: Assumed "CuArray" refers to `CUDA.CuArray`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function CuArray end`.  Hint: To silence the warning, qualify `CuArray` as `CUDA.CuArray` in the method signature or explicitly `import CUDA: CuArray`. ERROR: LoadError: TypeError: in ccall function name, expected Symbol, got a value of type Expr Stacktrace:  [1] top-level scope  @ ~/.julia/packages/CUDA/ja0IX/lib/nvml/libnvml.jl:1671  [2] include(mapexpr::Function, mod::Module, _path::String)  @ Base ./Base.jl:312  [3] top-level scope  @ ~/.julia/packages/CUDA/ja0IX/lib/nvml/NVML.jl:57  [4] include(mapexpr::Function, mod::Module, _path::String)  @ Base ./Base.jl:312  [5] top-level scope  @ ~/.julia/packages/CUDA/ja0IX/src/CUDA.jl:132  [6] include(mod::Module, _path::String)  @ Base ./Base.jl:311  [7] 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::String)  @ Base ./loading.jl:3002  [8] top-level scope  @ stdin:5  [9] eval(m::Module, e::Any)  @ Core ./boot.jl:489  [10] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:2848  [11] include_string  @ ./loading.jl:2858 [inlined]  [12] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:318  [13] _start()  @ Base ./client.jl:553 in expression starting at /home/pkgeval/.julia/packages/CUDA/ja0IX/lib/nvml/libnvml.jl:1671 in expression starting at /home/pkgeval/.julia/packages/CUDA/ja0IX/lib/nvml/NVML.jl:1 in expression starting at /home/pkgeval/.julia/packages/CUDA/ja0IX/src/CUDA.jl:1 in expression starting at stdin:5 ERROR: LoadError: Failed to precompile CUDA [052768ef-5323-5732-b1bb-66c8b64840ba] to "/home/pkgeval/.julia/compiled/v1.13/CUDA/jl_miV1un" (ProcessExited(1)). Stacktrace:  [1] error(s::String)  @ Base ./error.jl:44  [2] compilecache(pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool; flags::Cmd, cacheflags::Base.CacheFlags, reasons::Dict{String, Int64}, loadable_exts::Nothing)  @ Base ./loading.jl:3289  [3] kwcall(::@NamedTuple{reasons::Dict{String, Int64}, loadable_exts::Nothing}, ::typeof(Base.compilecache), pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool)  @ Base ./loading.jl:3167  [4] (::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId})()  @ Base ./loading.jl:2654  [5] mkpidlock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, at::String, pid::Int32; kwopts::@Kwargs{stale_age::Int64, wait::Bool})  @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:94  [6] #mkpidlock#7  @ /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:89 [inlined]  [7] trymkpidlock(::Function, ::Vararg{Any}; kwargs::@Kwargs{stale_age::Int64})  @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:115  [8] #invokelatest_gr#235  @ ./reflection.jl:1333 [inlined]  [9] invokelatest_gr  @ ./reflection.jl:1325 [inlined]  [10] maybe_cachefile_lock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, pkg::Base.PkgId, srcpath::String; stale_age::Int64)  @ Base ./loading.jl:3860  [11] maybe_cachefile_lock  @ ./loading.jl:3857 [inlined]  [12] __require_prelocked(pkg::Base.PkgId, env::String)  @ Base ./loading.jl:2640  [13] _require_prelocked(uuidkey::Base.PkgId, env::String)  @ Base ./loading.jl:2468  [14] macro expansion  @ ./loading.jl:2396 [inlined]  [15] macro expansion  @ ./lock.jl:376 [inlined]  [16] __require(into::Module, mod::Symbol)  @ Base ./loading.jl:2360  [17] require  @ ./loading.jl:2336 [inlined]  [18] eval_import_path  @ ./module.jl:36 [inlined]  [19] eval_import_path_all(at::Module, path::Expr, keyword::String)  @ Base ./module.jl:60  [20] _eval_import(::Bool, ::Module, ::Expr, ::Expr, ::Vararg{Expr})  @ Base ./module.jl:101  [21] top-level scope  @ ~/.julia/packages/MadNLPGPU/9kq8M/src/MadNLPGPU.jl:7  [22] include(mod::Module, _path::String)  @ Base ./Base.jl:311  [23] 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:3002  [24] top-level scope  @ stdin:5  [25] eval(m::Module, e::Any)  @ Core ./boot.jl:489  [26] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:2848  [27] include_string  @ ./loading.jl:2858 [inlined]  [28] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:318  [29] _start()  @ Base ./client.jl:553 in expression starting at /home/pkgeval/.julia/packages/MadNLPGPU/9kq8M/src/MadNLPGPU.jl:1 in expression starting at stdin:5 ✗ MadNLPGPU 0 dependencies successfully precompiled in 576 seconds. 117 already precompiled. ERROR: The following 1 direct dependency failed to precompile: MadNLPGPU Failed to precompile MadNLPGPU [d72a61cc-809d-412f-99be-fd81f4b8a598] to "/home/pkgeval/.julia/compiled/v1.13/MadNLPGPU/jl_9irEhN" (ProcessExited(1)). WARNING: Constructor for type "Int" was extended in `CUDA` without explicit qualification or import. NOTE: Assumed "Int" refers to `Base.Int`. This behavior is deprecated and may differ in future versions. NOTE: This behavior may have differed in Julia versions prior to 1.12. Hint: If you intended to create a new generic function of the same name, use `function Int end`. Hint: To silence the warning, qualify `Int` as `Base.Int` in the method signature or explicitly `import Base: Int`. WARNING: Constructor for type "UInt" was extended in `CUDA` without explicit qualification or import. NOTE: Assumed "UInt" refers to `Base.UInt`. This behavior is deprecated and may differ in future versions. NOTE: This behavior may have differed in Julia versions prior to 1.12. Hint: If you intended to create a new generic function of the same name, use `function UInt end`. Hint: To silence the warning, qualify `UInt` as `Base.UInt` in the method signature or explicitly `import Base: UInt`. WARNING: Constructor for type "BroadcastStyle" was extended in `CUDA` without explicit qualification or import. NOTE: Assumed "BroadcastStyle" refers to `Broadcast.BroadcastStyle`. This behavior is deprecated and may differ in future versions. NOTE: This behavior may have differed in Julia versions prior to 1.12. Hint: If you intended to create a new generic function of the same name, use `function BroadcastStyle end`. Hint: To silence the warning, qualify `BroadcastStyle` as `Broadcast.BroadcastStyle` in the method signature or explicitly `import Broadcast: BroadcastStyle`. WARNING: Constructor for type "CuArray" was extended in `CUBLAS` without explicit qualification or import. NOTE: Assumed "CuArray" refers to `CUDA.CuArray`. This behavior is deprecated and may differ in future versions. NOTE: This behavior may have differed in Julia versions prior to 1.12. Hint: If you intended to create a new generic function of the same name, use `function CuArray end`. Hint: To silence the warning, qualify `CuArray` as `CUDA.CuArray` in the method signature or explicitly `import CUDA: CuArray`. WARNING: Constructor for type "SparseVector" was extended in `CUSPARSE` without explicit qualification or import. NOTE: Assumed "SparseVector" refers to `SparseArrays.SparseVector`. This behavior is deprecated and may differ in future versions. NOTE: This behavior may have differed in Julia versions prior to 1.12. Hint: If you intended to create a new generic function of the same name, use `function SparseVector end`. Hint: To silence the warning, qualify `SparseVector` as `SparseArrays.SparseVector` in the method signature or explicitly `import SparseArrays: SparseVector`. WARNING: Constructor for type "SparseMatrixCSC" was extended in `CUSPARSE` without explicit qualification or import. NOTE: Assumed "SparseMatrixCSC" refers to `SparseArrays.SparseMatrixCSC`. This behavior is deprecated and may differ in future versions. NOTE: This behavior may have differed in Julia versions prior to 1.12. Hint: If you intended to create a new generic function of the same name, use `function SparseMatrixCSC end`. Hint: To silence the warning, qualify `SparseMatrixCSC` as `SparseArrays.SparseMatrixCSC` in the method signature or explicitly `import SparseArrays: SparseMatrixCSC`. WARNING: Constructor for type "CuVector" was extended in `CUSPARSE` without explicit qualification or import. NOTE: Assumed "CuVector" refers to `CUDA.CuVector`. This behavior is deprecated and may differ in future versions. NOTE: This behavior may have differed in Julia versions prior to 1.12. Hint: If you intended to create a new generic function of the same name, use `function CuVector end`. Hint: To silence the warning, qualify `CuVector` as `CUDA.CuVector` in the method signature or explicitly `import CUDA: CuVector`. WARNING: Constructor for type "CuMatrix" was extended in `CUSOLVER` without explicit qualification or import. NOTE: Assumed "CuMatrix" refers to `CUDA.CuMatrix`. This behavior is deprecated and may differ in future versions. NOTE: This behavior may have differed in Julia versions prior to 1.12. Hint: If you intended to create a new generic function of the same name, use `function CuMatrix end`. Hint: To silence the warning, qualify `CuMatrix` as `CUDA.CuMatrix` in the method signature or explicitly `import CUDA: CuMatrix`. WARNING: Constructor for type "CuArray" was extended in `CUSOLVER` without explicit qualification or import. NOTE: Assumed "CuArray" refers to `CUDA.CuArray`. This behavior is deprecated and may differ in future versions. NOTE: This behavior may have differed in Julia versions prior to 1.12. Hint: If you intended to create a new generic function of the same name, use `function CuArray end`. Hint: To silence the warning, qualify `CuArray` as `CUDA.CuArray` in the method signature or explicitly `import CUDA: CuArray`. ERROR: LoadError: TypeError: in ccall function name, expected Symbol, got a value of type Expr Stacktrace: [1] top-level scope @ ~/.julia/packages/CUDA/ja0IX/lib/nvml/libnvml.jl:1671 [2] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:312 [3] top-level scope @ ~/.julia/packages/CUDA/ja0IX/lib/nvml/NVML.jl:57 [4] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:312 [5] top-level scope @ ~/.julia/packages/CUDA/ja0IX/src/CUDA.jl:132 [6] include(mod::Module, _path::String) @ Base ./Base.jl:311 [7] 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::String) @ Base ./loading.jl:3002 [8] top-level scope @ stdin:5 [9] eval(m::Module, e::Any) @ Core ./boot.jl:489 [10] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base ./loading.jl:2848 [11] include_string @ ./loading.jl:2858 [inlined] [12] exec_options(opts::Base.JLOptions) @ Base ./client.jl:318 [13] _start() @ Base ./client.jl:553 in expression starting at /home/pkgeval/.julia/packages/CUDA/ja0IX/lib/nvml/libnvml.jl:1671 in expression starting at /home/pkgeval/.julia/packages/CUDA/ja0IX/lib/nvml/NVML.jl:1 in expression starting at /home/pkgeval/.julia/packages/CUDA/ja0IX/src/CUDA.jl:1 in expression starting at stdin:5 ERROR: LoadError: Failed to precompile CUDA [052768ef-5323-5732-b1bb-66c8b64840ba] to "/home/pkgeval/.julia/compiled/v1.13/CUDA/jl_miV1un" (ProcessExited(1)). Stacktrace: [1] error(s::String) @ Base ./error.jl:44 [2] compilecache(pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool; flags::Cmd, cacheflags::Base.CacheFlags, reasons::Dict{String, Int64}, loadable_exts::Nothing) @ Base ./loading.jl:3289 [3] kwcall(::@NamedTuple{reasons::Dict{String, Int64}, loadable_exts::Nothing}, ::typeof(Base.compilecache), pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool) @ Base ./loading.jl:3167 [4] (::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId})() @ Base ./loading.jl:2654 [5] mkpidlock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, at::String, pid::Int32; kwopts::@Kwargs{stale_age::Int64, wait::Bool}) @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:94 [6] #mkpidlock#7 @ /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:89 [inlined] [7] trymkpidlock(::Function, ::Vararg{Any}; kwargs::@Kwargs{stale_age::Int64}) @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:115 [8] #invokelatest_gr#235 @ ./reflection.jl:1333 [inlined] [9] invokelatest_gr @ ./reflection.jl:1325 [inlined] [10] maybe_cachefile_lock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, pkg::Base.PkgId, srcpath::String; stale_age::Int64) @ Base ./loading.jl:3860 [11] maybe_cachefile_lock @ ./loading.jl:3857 [inlined] [12] __require_prelocked(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2640 [13] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2468 [14] macro expansion @ ./loading.jl:2396 [inlined] [15] macro expansion @ ./lock.jl:376 [inlined] [16] __require(into::Module, mod::Symbol) @ Base ./loading.jl:2360 [17] require @ ./loading.jl:2336 [inlined] [18] eval_import_path @ ./module.jl:36 [inlined] [19] eval_import_path_all(at::Module, path::Expr, keyword::String) @ Base ./module.jl:60 [20] _eval_import(::Bool, ::Module, ::Expr, ::Expr, ::Vararg{Expr}) @ Base ./module.jl:101 [21] top-level scope @ ~/.julia/packages/MadNLPGPU/9kq8M/src/MadNLPGPU.jl:7 [22] include(mod::Module, _path::String) @ Base ./Base.jl:311 [23] 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:3002 [24] top-level scope @ stdin:5 [25] eval(m::Module, e::Any) @ Core ./boot.jl:489 [26] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base ./loading.jl:2848 [27] include_string @ ./loading.jl:2858 [inlined] [28] exec_options(opts::Base.JLOptions) @ Base ./client.jl:318 [29] _start() @ Base ./client.jl:553 in expression starting at /home/pkgeval/.julia/packages/MadNLPGPU/9kq8M/src/MadNLPGPU.jl:1 in expression starting at stdin: Loading failed after 576.24s ERROR: LoadError: failed process: Process(`/opt/julia/bin/julia -C native -J/opt/julia/lib/julia/sys.so -g1 --check-bounds=yes --inline=yes --pkgimages=existing -e 'using MadNLPGPU'`, ProcessExited(1)) [1] Stacktrace: [1] pipeline_error @ ./process.jl:602 [inlined] [2] run(::Cmd; wait::Bool) @ Base ./process.jl:517 [3] run(::Cmd) @ Base ./process.jl:514 [4] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:193 [5] include(mod::Module, _path::String) @ Base ./Base.jl:311 [6] exec_options(opts::Base.JLOptions) @ Base ./client.jl:320 [7] _start() @ Base ./client.jl:553 in expression starting at /PkgEval.jl/scripts/evaluate.jl:184 PkgEval failed after 1633.23s: package fails to precompile