Package evaluation of QuasiNewtonMethods on Julia 1.13.0-DEV.680 (905a44b8ef*) started at 2025-06-01T17:01:55.885 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 6.67s ################################################################################ # Installation # Installing QuasiNewtonMethods... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [64452400] + QuasiNewtonMethods v0.1.4 Updating `~/.julia/environments/v1.13/Manifest.toml` [79e6a3ab] + Adapt v4.3.0 [4fba245c] + ArrayInterface v7.19.0 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 [2a0fbf3d] + CPUSummary v0.2.6 [fb6a15b2] + CloseOpenIntervals v0.1.13 [34da2185] + Compat v4.16.0 [adafc99b] + CpuId v0.3.1 [ffbed154] + DocStringExtensions v0.9.4 [3e5b6fbb] + HostCPUFeatures v0.1.17 [615f187c] + IfElse v0.1.1 [10f19ff3] + LayoutPointers v0.1.17 [bdcacae8] + LoopVectorization v0.12.172 [d125e4d3] + ManualMemory v0.1.8 [6fe1bfb0] + OffsetArrays v1.17.0 [1d0040c9] + PolyesterWeave v0.2.2 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 [64452400] + QuasiNewtonMethods v0.1.4 [ae029012] + Requires v1.3.1 [94e857df] + SIMDTypes v0.1.0 [476501e8] + SLEEFPirates v0.6.43 ⌅ [aedffcd0] + Static v0.8.10 [0d7ed370] + StaticArrayInterface v1.8.0 ⌅ [7792a7ef] + StrideArraysCore v0.4.17 [8290d209] + ThreadingUtilities v0.5.4 [3a884ed6] + UnPack v1.0.2 [3d5dd08c] + VectorizationBase v0.21.71 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [d6f4376e] + Markdown v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [f489334b] + StyledStrings v1.11.0 [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [4536629a] + OpenBLAS_jll v0.3.29+0 [8e850b90] + libblastrampoline_jll v5.12.0+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 To see why use `status --outdated -m` Installation completed after 3.69s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 218.71s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_cDsjXl/Project.toml` [4c88cf16] Aqua v0.8.13 [64452400] QuasiNewtonMethods v0.1.4 [d1fa6d79] StrideArrays v0.1.29 [8dfed614] Test v1.11.0 Status `/tmp/jl_cDsjXl/Manifest.toml` [79e6a3ab] Adapt v4.3.0 [4c88cf16] Aqua v0.8.13 [4fba245c] ArrayInterface v7.19.0 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [2a0fbf3d] CPUSummary v0.2.6 [fb6a15b2] CloseOpenIntervals v0.1.13 [34da2185] Compat v4.16.0 [adafc99b] CpuId v0.3.1 [ffbed154] DocStringExtensions v0.9.4 [3e5b6fbb] HostCPUFeatures v0.1.17 [615f187c] IfElse v0.1.1 [10f19ff3] LayoutPointers v0.1.17 [bdcacae8] LoopVectorization v0.12.172 [d125e4d3] ManualMemory v0.1.8 [6fd5a793] Octavian v0.3.28 [6fe1bfb0] OffsetArrays v1.17.0 [1d0040c9] PolyesterWeave v0.2.2 [aea7be01] PrecompileTools v1.3.2 [21216c6a] Preferences v1.4.3 [64452400] QuasiNewtonMethods v0.1.4 [ae029012] Requires v1.3.1 [94e857df] SIMDTypes v0.1.0 [476501e8] SLEEFPirates v0.6.43 ⌅ [aedffcd0] Static v0.8.10 [0d7ed370] StaticArrayInterface v1.8.0 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [d1fa6d79] StrideArrays v0.1.29 ⌅ [7792a7ef] StrideArraysCore v0.4.17 [8290d209] ThreadingUtilities v0.5.4 [3a884ed6] UnPack v1.0.2 [3d5dd08c] VectorizationBase v0.21.71 [33b4df10] VectorizedRNG v0.2.25 [3b853605] VectorizedStatistics v0.5.10 [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 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.12.0 [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 [6462fe0b] Sockets v1.11.0 [f489334b] StyledStrings v1.11.0 [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 v1.3.0+1 [deac9b47] LibCURL_jll v8.12.1+1 [e37daf67] LibGit2_jll v1.9.0+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.5.20 [4536629a] OpenBLAS_jll v0.3.29+0 [458c3c95] OpenSSL_jll v3.5.0+0 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.12.0+0 [8e850ede] nghttp2_jll v1.65.0+0 [3f19e933] p7zip_jll v17.5.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in initialize_task(Any) at /home/pkgeval/.julia/packages/ThreadingUtilities/AsFET/src/ThreadingUtilities.jl WARNING: Method definition boundscheck() in module StrideArraysCore at /home/pkgeval/.julia/packages/StrideArraysCore/COJRJ/src/ptr_array.jl:897 overwritten at /home/pkgeval/.julia/packages/StrideArraysCore/COJRJ/src/StrideArraysCore.jl:75. WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in __vstore!(Ptr{T}, VT, I, A, S, NT, Static.StaticInt{RS}) where {T<:Union{Bool, Float16, Float32, Float64, Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8}, VT<:Union{Bool, Float16, Float32, Float64, Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, SIMDTypes.Bit}, I<:Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N, VectorizationBase.LazyMulAdd{var"#s77", var"#s76", var"#s75"} where var"#s75"<:Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N} where var"#s76" where var"#s77", VectorizationBase.LazyMulAdd{var"#s77", var"#s76", var"#s75"} where var"#s75"<:Union{VectorizationBase.MM{W, X, I} where I<:Union{Float16, Float32, Float64, Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N} where X, VectorizationBase.Unroll{var"#s77", var"#s76", var"#s75", var"#s41", W, M, X, I} where I where X where M where var"#s41" where var"#s75" where var"#s76" where var"#s77", VectorizationBase.Vec{W, T} where T} where var"#s76" where var"#s77" where W, VectorizationBase.MM{W, X, I} where I<:Union{Float16, Float32, Float64, Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N} where X where W, VectorizationBase.Unroll{var"#s77", var"#s76", var"#s75", var"#s41", W, M, X, I} where I where X where M where var"#s41" where var"#s75" where var"#s76" where var"#s77" where W, VectorizationBase.Vec{W, T} where T where W}, A<:(Static.StaticBool{bool} where bool), S<:(Static.StaticBool{bool} where bool), NT<:(Static.StaticBool{bool} where bool), RS} at /home/pkgeval/.julia/packages/VectorizationBase/wHnQd/src/llvm_intrin/memory_addr.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in __vstore!(Ptr{T}, VT, A, S, NT, Static.StaticInt{RS}) where {T<:Union{Bool, Float16, Float32, Float64, Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8}, VT<:Union{Bool, Float16, Float32, Float64, Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, SIMDTypes.Bit}, A<:(Static.StaticBool{bool} where bool), S<:(Static.StaticBool{bool} where bool), NT<:(Static.StaticBool{bool} where bool), RS} at /home/pkgeval/.julia/packages/VectorizationBase/wHnQd/src/llvm_intrin/memory_addr.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in initialize_task(Any) at /home/pkgeval/.julia/packages/ThreadingUtilities/AsFET/src/ThreadingUtilities.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in initialize_task(Any) at /home/pkgeval/.julia/packages/ThreadingUtilities/AsFET/src/ThreadingUtilities.jl Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") does not declare a compat entry for the following extras: 1-element Vector{Base.PkgId}: Test [8dfed614-e22c-5e08-85e1-65c5234f0b40] Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") extras: Test Failed at /home/pkgeval/.julia/packages/Aqua/1UuaV/src/deps_compat.jl:60 Expression: isempty(result) Evaluated: isempty(Base.PkgId[Base.PkgId(Base.UUID("8dfed614-e22c-5e08-85e1-65c5234f0b40"), "Test")]) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:730 [inlined] [2] test_deps_compat(pkg::Base.PkgId, deps_type::String; broken::Bool, kwargs::@Kwargs{}) @ Aqua ~/.julia/packages/Aqua/1UuaV/src/deps_compat.jl:60 [3] test_deps_compat @ ~/.julia/packages/Aqua/1UuaV/src/deps_compat.jl:55 [inlined] [4] macro expansion @ ~/.julia/packages/Aqua/1UuaV/src/deps_compat.jl:45 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1833 [inlined] [6] test_deps_compat(pkg::Base.PkgId; check_julia::Bool, check_extras::Bool, check_weakdeps::Bool, kwargs::@Kwargs{}) @ Aqua ~/.julia/packages/Aqua/1UuaV/src/deps_compat.jl:45 n = 2 WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in randn!(VectorizedRNG.AbstractVRNG{N} where N, AbstractArray{T, N} where N, Number, Any, Any) where {T<:Union{Float32, Float64}} at /home/pkgeval/.julia/packages/VectorizedRNG/2TXSb/src/api.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in optimize!(Any, Any, StrideArraysCore.AbstractStrideArray{T, N, R, S, X, O} where O<:Tuple{Vararg{Union{Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where X<:Tuple{Vararg{Union{Nothing, Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N, StrideArraysCore.StrideReset{T} where T}, N}} where S<:Tuple{Vararg{Union{Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where R where N, Any, Any) where {T} at /home/pkgeval/.julia/packages/QuasiNewtonMethods/Pnhdf/src/QuasiNewtonMethods.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in update_state!(Any, Any, Any) at /home/pkgeval/.julia/packages/QuasiNewtonMethods/Pnhdf/src/QuasiNewtonMethods.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in step!(Any, Any, Any, Any, Any) at /home/pkgeval/.julia/packages/QuasiNewtonMethods/Pnhdf/src/QuasiNewtonMethods.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in initial_B⁻¹!(AbstractArray{T, 2} where T) at /home/pkgeval/.julia/packages/QuasiNewtonMethods/Pnhdf/src/QuasiNewtonMethods.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in BFGS_update!(AbstractArray{T, 2}, Any, Any, Any, Any, Any) where {T} at /home/pkgeval/.julia/packages/QuasiNewtonMethods/Pnhdf/src/QuasiNewtonMethods.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in materialize(Base.Broadcast.Broadcasted{S, Axes, F, Args} where Args<:Tuple where F where Axes) where {S<:(StrideArrays.AbstractStrideStyle{S, N} where N where S)} at /home/pkgeval/.julia/packages/StrideArrays/tZEoU/src/broadcast.jl QuasiNewtonMethods.optimum(state) .- 1 = [4.07891498355184e-11, 7.759348719105219e-11] WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in gradient(QuasiNewtonMethods.AbstractBFGSState{P, T, L, LT} where LT where L where T where P) at /home/pkgeval/.julia/packages/QuasiNewtonMethods/Pnhdf/src/QuasiNewtonMethods.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in maximum(typeof(Base.abs), StrideArraysCore.AbstractStrideArray{T, N, R, S, X, O} where O<:Tuple{Vararg{Union{Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where X<:Tuple{Vararg{Union{Nothing, Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N, StrideArraysCore.StrideReset{T} where T}, N}} where S<:Tuple{Vararg{Union{Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where R where N) where {T} at /home/pkgeval/.julia/packages/StrideArrays/tZEoU/src/miscellaneous.jl QuasiNewtonMethods.optimum(state) .- 1 = [-3.873568132917171e-13, -8.253397965063414e-13] n = 3 WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in copyto!(StrideArraysCore.AbstractStrideArray{var"#s146", N, R, S, X, O} where O<:Tuple{Vararg{Union{Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where X<:Tuple{Vararg{Union{Nothing, Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N, StrideArraysCore.StrideReset{T} where T}, N}} where S<:Tuple{Vararg{Union{Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where R where var"#s146", StrideArraysCore.AbstractStrideArray{var"#s144", N, R, S, X, O} where O<:Tuple{Vararg{Union{Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where X<:Tuple{Vararg{Union{Nothing, Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N, StrideArraysCore.StrideReset{T} where T}, N}} where S<:Tuple{Vararg{Union{Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where R where var"#s144") where {N} at /home/pkgeval/.julia/packages/StrideArrays/tZEoU/src/miscellaneous.jl QuasiNewtonMethods.optimum(state) .- 1 = [-2.1142173567412215e-9, -4.237683204344478e-9, -2.986143221583859e-9] QuasiNewtonMethods.optimum(state) .- 1 = [-4.6423398458728116e-10, -9.122229638336421e-10, 8.937428574995465e-11] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [-1.9275137042029655e-11, 4.228706274034266e-11, -3.7862379898001564e-11, 8.181721966593614e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-3.853073415882591e-11, -1.3096079776175884e-11, -7.869638274371482e-11, -2.8388513761967715e-11] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [-3.1317171078626416e-12, 6.79449829732448e-11, -8.268496998198316e-12, 1.35524480526783e-10, 1.927820125757762e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-1.3714362978589634e-11, 4.612599191489153e-11, -2.259892273315245e-11, 9.43067846037593e-11, 1.3189693781612277e-10] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [-1.1217471396207657e-11, 8.343326030058051e-12, 1.3864021042309105e-11, -2.0492385566228677e-11, 1.581224040592133e-11, 2.5994317809363565e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.50632839535092e-11, -1.3630652162532897e-11, 3.697264716606696e-12, -2.9466207251971355e-11, -2.8507973759417382e-11, 8.22852896931181e-12] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [-4.1192715904969646e-11, 1.4268586312482512e-11, 4.444289380955979e-11, -8.161760156610853e-11, 2.99820168692122e-11, 9.207945517175631e-11, -3.7414515929867775e-14] QuasiNewtonMethods.optimum(state) .- 1 = [1.5459855617905305e-11, 3.046785046478817e-11, -1.475486399726833e-11, 2.9743318918917794e-11, 6.269584851281707e-11, -3.194233766379284e-11, -1.65690794418083e-11] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [6.4293015356042815e-12, 1.0018652574217413e-12, 3.2713831643604863e-12, -6.915801264995025e-12, 1.3608891791250244e-11, 2.6196822489055194e-12, 5.823785897973721e-12, -1.3058110148733704e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.334043986389588e-12, 3.5340619319867983e-12, 4.6074255521944e-13, -5.594857910296014e-12, 4.652500606994181e-12, 4.681810494844285e-12, 1.5432100042289676e-12, -1.1595280291487597e-11] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [-1.2805367877177787e-10, 1.6054713114499464e-11, 2.8333335677643845e-11, -3.535949311128661e-11, -2.7527569113061645e-10, 2.4629187578284473e-11, 5.806133351882181e-11, -6.955280795750696e-11, 1.5198731162513468e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-4.04968281131346e-11, -4.7629789001746303e-11, 5.119082935323149e-11, 7.764011655808645e-12, -8.221867631164059e-11, -9.620271246291168e-11, 1.0245293502464392e-10, 1.0554446205901513e-11, -8.137746032588211e-11] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [1.5938361741518747e-12, 4.759082017358196e-12, -2.141220534213062e-11, 1.9877433032888803e-12, 1.782729519561599e-11, 8.025136111200482e-12, 1.0799805494343673e-11, -3.774092149910757e-11, -1.6542323066914832e-14, 3.74156261528924e-11] QuasiNewtonMethods.optimum(state) .- 1 = [9.650502619251711e-11, -1.9262702544153854e-11, -3.377476076593666e-11, -2.3651192115892172e-11, -1.3754886118988452e-11, 1.8625900821689356e-10, -4.304245848629762e-11, -6.790223938679674e-11, -4.66242600083433e-11, -2.3156254691514278e-11] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [-5.692779581067953e-12, 1.63211666404095e-11, 2.736921800305936e-11, 4.364064665196565e-12, 3.5891067895477136e-11, -1.113154013410167e-11, 3.110423030250331e-11, 5.750488973887968e-11, 8.964606834638289e-12, 7.515632560739505e-11, 9.43023437116608e-13] QuasiNewtonMethods.optimum(state) .- 1 = [-3.056099817655422e-10, 1.5516721241226605e-10, -2.5850543927674607e-11, 1.3710477198003446e-10, 2.3993695918989033e-11, -6.230073124058322e-10, 3.203619591829465e-10, -5.4564797125067344e-11, 2.6946600506505547e-10, 6.860689794052632e-11, 7.096767618008926e-12] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [5.422173821045817e-11, -9.548950519189248e-11, 7.187006545450458e-11, 4.382938456615193e-11, 4.160516375861789e-11, -8.15880696336535e-11, 1.1176570779980466e-10, -1.8064938434037003e-10, 1.478066558036062e-10, 8.236478166168126e-11, 8.376743743099269e-11, -1.6729240215340724e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-5.6176951979125533e-11, 2.922850850239911e-10, -1.63672297937012e-10, 1.9019674724063407e-11, 9.940137601915922e-11, 2.729780845811547e-10, -1.1300460567298387e-10, 5.897169419455395e-10, -3.22918025652541e-10, 4.1070036260748566e-11, 2.0720780646854564e-10, 5.636024980049115e-10] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [1.191180487580823e-11, -1.0998424393449113e-11, 1.4758194666342206e-11, 3.3609337535267514e-11, 1.68480784878966e-11, 1.910671620919402e-11, 2.7638780153438347e-11, -2.37601049946079e-11, 2.589573000477685e-11, 6.963185583686027e-11, 3.493227929141085e-11, 4.076006199227322e-11, -1.1264322807846838e-12] QuasiNewtonMethods.optimum(state) .- 1 = [3.3890446005102604e-11, 3.768696466011079e-11, -4.4092174356080704e-11, -5.0832560383184955e-11, -1.0646128423275059e-10, 8.115308425260537e-11, 7.228928566860304e-11, 6.999512081051762e-11, -8.398670647835615e-11, -9.794209887559191e-11, -2.165841950230174e-10, 1.6133827607234252e-10, 2.2499779817053422e-12] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [1.6759438281610528e-10, -1.948079475511122e-10, 1.5406786957328222e-10, -2.161238965570078e-10, -4.658140539959277e-11, -1.842496155646245e-10, 9.464873329534385e-11, 3.500224554642273e-10, -3.8004921432133187e-10, 3.090694367102742e-10, -4.2291614654743626e-10, -1.0218026424979598e-10, -3.5524627683969356e-10, 1.8088974762520138e-10] QuasiNewtonMethods.optimum(state) .- 1 = [6.47533138220524e-11, 3.601274833897605e-11, -2.0202284289894124e-11, -3.1072255879394106e-11, -1.8102075394210715e-11, 2.7589708295749915e-11, 6.341993596947759e-11, 1.2396172976991693e-10, 7.076828012486658e-11, -4.366607075922957e-11, -6.451872369694911e-11, -4.4769632445706975e-11, 5.713762796233368e-11, 1.1950640477209618e-10] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [3.149258631651719e-11, 2.44768649793059e-11, -3.558464634068059e-11, -3.841915674485108e-11, -7.175038341244999e-12, 1.5661028029967383e-11, -3.1536107059082497e-11, 6.023181953196399e-11, 5.531441971129425e-11, -7.273215363312602e-11, -7.7502226858428e-11, -1.4756307287200343e-11, 2.80198086954897e-11, -6.007172537181305e-11, 8.274714247136217e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-1.3379963803572537e-11, -5.200462283028173e-11, -1.3382572827680406e-10, 2.362643414244303e-11, -1.2720446918024209e-10, 4.3310244279837207e-11, 1.3900147699530407e-10, -2.719890979108186e-11, -9.941225620480054e-11, -2.8479618663368456e-10, 4.132871822548623e-11, -2.483904193439912e-10, 9.479217411012542e-11, 2.816422650653294e-10, -2.0610624318351256e-11] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [-1.0262013461215247e-11, -3.041755736177265e-11, 1.8238077714727297e-11, 4.3809400551708677e-13, -6.053679779682852e-11, 2.5959456806390335e-11, -3.704703210871685e-12, 4.82049955508046e-11, -2.1073032208107634e-11, -6.301548172160665e-11, 3.7450709200470556e-11, -9.001688283660769e-13, -1.1566470003998575e-10, 5.538547398487026e-11, -5.2524651295016156e-12, 9.928258215552432e-11] QuasiNewtonMethods.optimum(state) .- 1 = [2.2211565919860732e-11, 2.7577273797874113e-11, 1.0156320229270932e-12, -3.823563687888054e-11, 5.799338786971475e-11, 1.7464918400378338e-11, -4.801881114957496e-11, -5.087608112575026e-11, 4.547162646417746e-11, 5.455680351929004e-11, 1.9693136010801027e-12, -7.818501401857247e-11, 1.1984702119605117e-10, 3.7302383404380635e-11, -9.318001925606723e-11, -9.973577519417631e-11] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [-4.736222525281164e-11, -2.2441160041353214e-11, 6.77435885165778e-12, 4.1035619346985186e-11, 4.0911052323622243e-11, 7.192801909639002e-11, -2.4183210989292547e-11, -9.507550302600976e-11, -9.226053254707267e-11, -4.954148202784836e-11, 1.4640733070336864e-11, 8.172040821818882e-11, 8.534573048279981e-11, 1.4200840503519885e-10, -4.5440429197185495e-11, -1.9481272151011808e-10, 1.965316798191452e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-1.1976808433900032e-10, -1.3614998017885682e-11, -4.902722672284199e-11, -2.563369516650482e-10, -1.9719559318787105e-11, 1.9855006527791375e-11, 2.3824187067589264e-10, 1.3155143641085942e-10, -2.3420254624539893e-10, -1.3607670545923156e-11, -9.596945460543793e-11, -5.331985963863417e-10, -4.758637928148346e-11, 2.7769342381134265e-11, 4.754239224524781e-10, 2.4266233467074017e-10, -2.7794433421490794e-12] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [9.297229652815986e-12, -1.1766476681884797e-11, -3.755107336189667e-11, 1.765254609153999e-13, -5.075606601678828e-12, -1.7119194950510064e-11, -4.514366658270319e-11, -2.7357005549788482e-12, -5.804801084252631e-12, 1.4697354444592747e-11, -1.531574866930896e-11, -7.629785692131463e-11, -1.183719788855342e-12, -1.5456302904226504e-11, -3.4142022542482664e-11, -9.141853940519695e-11, 2.4311663793241678e-12, -1.286859507843019e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.1686718259795725e-10, 7.808531599096113e-11, 1.330786592035338e-10, -5.968403549161394e-11, -1.4141166015946283e-10, 2.66958677386242e-10, -4.605582581973522e-11, -1.4326895225735825e-10, -9.829714819886703e-11, 2.413196309447585e-10, 1.452920006528302e-10, 2.633178119992863e-10, -1.0471723488336693e-10, -2.980499180793572e-10, 5.503029143483218e-10, -9.261613698186011e-11, -2.7808999547573876e-10, -2.0590895655203667e-10] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [-2.750623062652835e-10, -1.6637358157822746e-11, -4.587086266383267e-11, -2.1015900131260423e-10, 4.760170035922329e-11, -3.3010272293410026e-10, 4.030709099822616e-10, 3.937958847899381e-10, 2.9896973785525915e-11, -5.281302062343229e-10, -2.8201774249225764e-11, -9.080880492007282e-11, -4.1107206527613016e-10, 9.584866234035871e-11, -6.698430699003666e-10, 8.199154688526278e-10, 7.871232554634844e-10, 6.893774440186462e-11, -1.3871015447364243e-11] QuasiNewtonMethods.optimum(state) .- 1 = [3.0291102959267846e-11, 1.922595416203876e-11, -6.638645189127601e-11, 4.9187320882992935e-12, -2.8176128097356923e-11, 3.933808834233332e-11, 4.927236396667922e-11, -6.094258431232902e-11, -4.8292814192052447e-11, 6.340949987304612e-11, 3.5947023135918243e-11, -1.3174517032865651e-10, 1.0347278589506459e-11, -6.334988089662374e-11, 8.054423794590093e-11, 9.715916959862625e-11, -1.1282530465450691e-10, -9.85922454788124e-11, 4.531708341914964e-12] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [-5.009448411641415e-11, -9.937439759966082e-11, -1.1893375173599452e-11, -3.634481604564144e-11, -1.3651413333093387e-11, -1.581623720880998e-12, 8.79696315791989e-12, 2.709166224690307e-11, 5.952371928685807e-11, -8.891964942137065e-11, -1.0454259680159339e-10, -1.9891788216597206e-10, -2.5558222205290804e-11, -7.792111400561907e-11, -2.8079427671912072e-11, -6.45306030833126e-12, 1.6991741347283096e-11, 5.1708637371916666e-11, 1.1622369733288451e-10, -1.7408086083747776e-10] QuasiNewtonMethods.optimum(state) .- 1 = [6.077804926007957e-12, 3.232636380801068e-11, -3.918221302967595e-11, 4.3197667665140216e-11, 7.826184145187653e-12, 1.5193180047390342e-11, -4.305389378345126e-11, 4.4519277153654e-11, 1.639310909240521e-11, -9.095579844853319e-11, 1.520583658987107e-11, 5.495182087145167e-11, -7.653433442555979e-11, 8.258660422200137e-11, 1.060196375135547e-11, 3.5346392479596034e-11, -7.832723358802696e-11, 8.338929546880536e-11, 3.2654767778694804e-11, -1.8884660502038741e-10] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [-4.466316205764542e-11, -2.8671254259649004e-10, -1.907007884938139e-11, -4.9584558681203816e-11, 8.19215806302509e-11, 4.676281584181652e-11, 8.731571021769469e-11, 6.743472447112708e-11, 3.235811618651496e-11, -3.814637494770068e-11, -9.347900231659878e-11, -5.760928400988519e-10, -3.8436143157127844e-11, -1.0778156145363482e-10, 1.5741075110042857e-10, 9.296585723461703e-11, 1.743822863886635e-10, 1.3406742382926495e-10, 6.344680336667352e-11, -7.786915556806662e-11, -3.755995514609367e-12] QuasiNewtonMethods.optimum(state) .- 1 = [5.0700110776347174e-11, 1.2052425724107252e-10, -1.536488714037887e-10, 4.3503867175331834e-11, 3.5711433810092785e-12, -1.1957923540251159e-10, 5.893419086078211e-11, -2.656963538072432e-11, -1.2310064079201766e-10, -5.0108805993431815e-11, 9.82685044448317e-11, 2.4104940266056474e-10, -3.0947444606965746e-10, 8.799183603969141e-11, 3.4290348338572585e-12, -2.3161328410736814e-10, 1.246667213905539e-10, -5.5498716733382025e-11, -2.601215909336929e-10, -1.0231593350340518e-10, -6.247558026473143e-12] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [5.183942164421751e-11, 6.262013130253763e-11, -3.924194302840078e-12, 2.8494984150029268e-12, 8.847012011869992e-11, -2.3284929540068333e-11, -5.500155886295488e-11, 6.184697198818867e-11, -2.9252156252823625e-11, -1.6733614494057747e-11, -8.339551271774326e-11, 1.1045875325521592e-10, 1.2120571213358744e-10, -1.2590928299971438e-11, 2.7917668177224186e-12, 1.760189771715659e-10, -5.704536842898733e-11, -1.081432721150577e-10, 1.2799539206298505e-10, -6.031342092427394e-11, -3.622924182877796e-11, -1.678182037778697e-10] QuasiNewtonMethods.optimum(state) .- 1 = [2.5263346969950362e-11, -1.40855771491033e-10, 9.125056266157117e-11, -1.390411119572832e-10, -6.978084776676496e-12, 4.647993101514203e-11, -3.127498260369066e-11, -1.1578593639427481e-10, -9.26013710156326e-11, -1.8755741404419268e-10, -1.061606358376821e-11, 5.129141555926253e-11, -2.875366611476693e-10, 1.8543033775131335e-10, -2.782054586702998e-10, -6.690537013298581e-12, 9.257017374864063e-11, -6.017175646633177e-11, -2.2654400577692968e-10, -1.7320733736170268e-10, -3.734300646485167e-10, -1.6383006062881122e-11] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [-4.1953551743745265e-11, 7.936806767361304e-11, 1.6181056494701807e-11, 1.685409589669007e-10, -9.708167603150741e-11, -2.854961822507107e-10, -4.8234416460957164e-11, -3.060951492273034e-11, -1.4681389437498638e-10, -1.476336830563696e-10, 1.4458190200627996e-10, -8.53558335123239e-11, 1.592126430693952e-10, 3.434519335598907e-11, 3.4302582996303954e-10, -1.9486234847931883e-10, -5.727193164162259e-10, -9.925416044609392e-11, -6.188516366023578e-11, -2.9382174471237477e-10, -2.920400588024563e-10, 2.9283464542118054e-10, 6.5989436137670054e-12] QuasiNewtonMethods.optimum(state) .- 1 = [1.7234436100466155e-11, -1.9083623570281816e-12, 1.5981438394874203e-11, -3.6676661707701896e-11, -1.1593059845438347e-11, -2.7713831229903008e-11, -9.725331651111446e-12, -2.930888864938197e-11, -5.648259637780484e-12, 6.363798377151397e-13, 2.1820323325982827e-11, 3.38549188683146e-11, -3.3492097983867097e-12, 2.943334465044245e-11, -7.566869353325956e-11, -2.1845303344036893e-11, -5.4835802565378344e-11, -1.7996493184568862e-11, -5.678091330452162e-11, -1.0761502799994105e-11, -1.4810375148499588e-13, 4.495914751601049e-11, 2.2959412149248237e-13] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [-5.25015697583342e-10, 2.2877366667728438e-10, -2.115212449638193e-10, -1.4755330290938673e-10, -4.649154394797961e-10, 5.136013836448683e-10, -3.5825675759326714e-11, 7.872302809630582e-11, -5.676015213396113e-11, -2.949696042975347e-11, 2.6431212774014057e-10, 1.864490783987094e-10, -1.0496413738181332e-9, 4.5649795055169307e-10, -4.182277857367467e-10, -2.9056734796029104e-10, -9.42355637967296e-10, 1.0371388192709219e-9, -4.847477974578851e-11, 1.5672996234172842e-10, -1.037185892727166e-10, -5.39855937731204e-11, 5.052316343068242e-10, 3.5342839765917233e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-6.631328819395321e-11, 5.6662896597003964e-11, -1.1894130125256197e-10, 5.9707572219736e-11, 1.4491119415538378e-10, 1.2510947833277442e-10, 1.9007595497555485e-10, -8.589984279439022e-11, 4.909539441655397e-11, -2.3235779966768177e-10, 2.5680124693394646e-11, 2.576558966183029e-10, -1.5766288274932094e-10, 1.1521961162941352e-10, -2.288488287760515e-10, 1.2137335581030584e-10, 2.9312396954139786e-10, 2.647082553153268e-10, 3.8497716126073556e-10, -1.5292511701403555e-10, 1.037523400526652e-10, -4.498742489644769e-10, 3.0896174507688556e-11, 5.084637155761129e-10] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 4m17.7s Method ambiguity | 1 1 10.9s Unbound type parameters | 1 1 0.1s Undefined exports | 1 1 0.0s Compare Project.toml and test/Project.toml | 1 1 0.4s Stale dependencies | 1 1 7.9s Compat bounds | 3 1 4 12.1s julia | 1 1 0.1s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") deps | 1 1 0.6s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") extras | 1 1 11.4s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") weakdeps | 1 1 0.0s Piracy | 1 1 0.2s Persistent tasks | 1 1 46.1s RNG of the outermost testset: Random.Xoshiro(0x9866c5ca2c525291, 0xb157f9dab07ae8ad, 0x825d5d82c2100680, 0x162012e450f9784d, 0xd3220b263ee57733) ERROR: LoadError: Some tests did not pass: 148 passed, 1 failed, 0 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/QuasiNewtonMethods/Pnhdf/test/runtests.jl:35 Testing failed after 287.95s ERROR: LoadError: Package QuasiNewtonMethods errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.13/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.13/Pkg/src/Operations.jl:2421 [3] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/Operations.jl:2276 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:498 [5] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:164 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:152 [7] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:152 [inlined] [8] #test#81 @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:151 [inlined] [9] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 [10] include(mod::Module, _path::String) @ Base ./Base.jl:309 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:324 [12] _start() @ Base ./client.jl:557 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 538.68s: package has test failures