Package evaluation of QuasiNewtonMethods on Julia 1.13.0-DEV.733 (c0ecfe9bcc*) started at 2025-06-12T17:01:49.142 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 7.99s ################################################################################ # 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 v0.9.5 [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 To see why use `status --outdated -m` Installation completed after 3.52s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 209.08s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_2MrgzY/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_2MrgzY/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 v0.9.5 [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 v0.3.29 [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 foreach(Any, Any) at abstractarray.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 __init() at /home/pkgeval/.julia/packages/VectorizedRNG/2TXSb/src/VectorizedRNG.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in initXoshiro!(Ptr{UInt64}, Any, UInt64, UInt64, UInt64, UInt64) at /home/pkgeval/.julia/packages/VectorizedRNG/2TXSb/src/xoshiro.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in foreach(Any, Any) at abstractarray.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in foreach(Any, Any) at abstractarray.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:1837 [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 = [-7.135514401568344e-12, -1.1229794871780996e-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 = [4.4437342694436666e-11, 8.139511287197365e-11] 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 = [-2.4595769865243255e-11, -4.644995499347715e-11, -4.993283564402873e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-2.834732448775412e-12, -5.49404965966005e-12, -1.1901590823981678e-13] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [2.782927222000353e-10, 1.0475087464101307e-10, 5.473892450424955e-10, 2.179241231914375e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-4.9006354529979035e-12, 1.872679789016729e-11, -8.491873870752897e-12, 3.959499395023158e-11] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [2.3843149676849862e-11, -5.81659165277415e-11, 4.342259884992927e-11, -1.2247103331475273e-10, 2.2470914018413168e-13] QuasiNewtonMethods.optimum(state) .- 1 = [-3.522182545623309e-12, -5.989098106340407e-12, -7.789879852282411e-12, -1.2251977210553378e-11, -1.3825107725295993e-10] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [-1.027145035692456e-11, 7.16582349014061e-11, 2.092734874281632e-10, -7.666201007339168e-12, 1.4120105085169143e-10, 4.194873337581839e-10] QuasiNewtonMethods.optimum(state) .- 1 = [9.019673896659697e-12, -4.6948001042323995e-12, 1.2847278796357386e-11, 1.6822099269120372e-11, -7.999378937029178e-12, 2.4209079185766313e-11] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [-2.0249135701533305e-11, -1.0458822696790548e-10, -1.2699807871996427e-10, -2.1024626484233977e-11, -1.980285935232473e-10, -2.6047186629796215e-10, -3.375821844286975e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-4.101163852965328e-12, 6.830092047493963e-13, -5.620059972955005e-12, -7.2198913514398555e-12, 8.146816554699399e-13, -1.1790679543821625e-11, 7.177147764991787e-12] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [1.5399348463063234e-10, 1.5051027091317337e-10, -7.566836046635217e-12, -7.539291413394267e-11, 3.1925861954107404e-10, 2.9151481228950615e-10, -1.9450885346827818e-11, -1.5251455653952917e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-5.938360914115037e-12, -4.8087089865589405e-12, 2.3294255413475184e-11, 9.692247004977617e-12, -1.0950906847995157e-11, -1.0214162848853903e-11, 4.643330164810777e-11, 1.549538275469331e-11] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [-7.500444709762633e-11, 2.3927526626721374e-12, -3.103706180951349e-11, 1.6269208202857044e-11, -1.5300627431713565e-10, 3.9253045258647035e-12, -5.630607091688944e-11, 3.104982937429668e-11, 2.83639778331235e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-3.8709369043488095e-11, 1.7481571745747715e-12, -2.4363178141584285e-11, -1.2979506358590243e-11, -8.058176348413326e-11, 5.3206328232136e-12, -5.241684863932505e-11, -2.4269253273700997e-11, 4.665379194079833e-12] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [-1.4758971822459444e-11, -3.1966651548032132e-12, -9.393263944446062e-12, -3.2942093497467795e-11, 4.544231657632736e-11, -2.8209656832700603e-11, -1.1297296431678205e-11, -1.721212061767119e-11, -6.297451449199798e-11, 8.640421711447743e-11] QuasiNewtonMethods.optimum(state) .- 1 = [7.626610454281035e-11, -1.5695889032940613e-11, 1.1391132481719524e-10, 7.830469606062707e-11, -6.795697338191076e-11, 1.5517764850869753e-10, -3.428490824575192e-11, 2.2885493500268694e-10, 1.5132650688087779e-10, -1.3447498670160485e-10] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [1.949285177715865e-11, 1.2758682998992299e-12, -1.2364220758342981e-11, 6.636979854590663e-11, -5.917244472186667e-11, 3.599143205690325e-11, 1.575184427338172e-12, -2.4611646054495395e-11, 1.2828516027241221e-10, -1.2429490769960694e-10, -1.7983392552878286e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-7.679012981043343e-11, -8.513056926062745e-11, -1.1091150220465806e-10, -2.6658897311904184e-11, 9.261169608976161e-11, -1.5532886088465148e-10, -1.6680579140171403e-10, -2.220680306308509e-10, -6.325051593591979e-11, 1.8794232836683022e-10, 6.324940571289517e-12] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [-1.3314127578212265e-11, 3.704081485977895e-11, 1.9531420925034126e-10, -1.3487211347751327e-11, 1.370457081151244e-10, 1.1149525747100597e-11, -2.3977930752039356e-11, 6.298384036540483e-11, 3.7807468267203603e-10, -3.090294686813877e-11, 2.8721069966763935e-10, 2.0896173680284846e-11] QuasiNewtonMethods.optimum(state) .- 1 = [7.35964622577967e-11, 3.2344127376404685e-11, -9.454059757274536e-11, -1.629107959644216e-11, 6.858735801529292e-12, -6.167932831147027e-11, 1.408353433873799e-10, 5.969980065856362e-11, -1.8101076193488552e-10, -3.459077468903615e-11, 1.039013319825699e-11, -1.2588519116008e-10] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [2.919775532461699e-11, -3.887634658639172e-11, -2.205213789352456e-11, -1.2206458066543746e-11, -1.0064171718227044e-12, 9.18363163293634e-11, 5.904987609994805e-11, -8.126088690829647e-11, -3.960454186824336e-11, -2.4986013258398998e-11, -5.804023928135393e-12, 1.7965628984484283e-10, -4.574118861455645e-14] QuasiNewtonMethods.optimum(state) .- 1 = [7.224176812314909e-11, 1.0169864950171359e-11, 1.8957724279289323e-11, -2.3561819162409847e-11, 1.1781464692717236e-11, -1.7278067865333924e-11, 1.4585843643999397e-10, 2.3785418079569354e-11, 4.044076185039103e-11, -4.314060220167448e-11, 2.8613555969059234e-11, -2.996258796628126e-11, 7.179146166436112e-12] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [2.949906985350026e-11, 5.946509951115786e-11, 4.813149878657441e-11, 1.9038548515482034e-11, -1.8335111207079535e-11, 9.270362255620057e-12, -1.72769576423093e-11, 6.677103314700616e-11, 1.1809864197687148e-10, 9.123035660252299e-11, 3.719580199401662e-11, -4.5230375000926415e-11, 1.9096058068157618e-11, -3.563305206455425e-11] QuasiNewtonMethods.optimum(state) .- 1 = [2.0056845073668228e-11, -3.058442388237381e-11, 1.9072965429245414e-11, 6.985279021876067e-11, 2.7186475293206058e-11, 1.2745982047590587e-10, 5.3251847376145633e-11, 4.117706176032243e-11, -5.882416775904176e-11, 3.8767655752280916e-11, 1.391959880692184e-10, 5.4232618396099497e-11, 2.694557910132289e-10, 1.0433454100677864e-10] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [-4.328781777473978e-11, -4.904487926893353e-11, -4.569122857844832e-11, -1.8722023931161402e-11, 2.5269342174283338e-11, -1.069520028096349e-10, 1.2617906719469829e-11, -8.540934626211083e-11, -8.854850186423846e-11, -8.79136763387578e-11, -3.694378136742671e-11, 5.2295945351943374e-11, -2.1201596034359227e-10, 2.3768320644990126e-11, 8.40416625180751e-12] QuasiNewtonMethods.optimum(state) .- 1 = [4.269837816650579e-10, 1.1567735658246647e-9, 3.45008910329625e-10, 3.022300187893734e-10, 2.6186475210465687e-10, -4.4396120113532334e-10, -7.280074321158736e-10, 8.343816748634936e-10, 2.331156601087514e-9, 7.058778006552302e-10, 5.879514652917806e-10, 5.342002395991585e-10, -8.954734731503322e-10, -1.4593690700337447e-9, 8.365019787959227e-11] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [-1.4587808738752983e-10, 2.940603316403667e-11, 6.103784144784186e-11, -1.0441647546599597e-12, 3.074762666699371e-11, 1.4597523190218453e-10, -7.538381030514074e-11, 8.348344238129357e-11, -2.9077995566950676e-10, 6.611888814234135e-11, 1.166360341642303e-10, 3.4514613389546867e-12, 7.828138137710994e-11, 2.910991447890865e-10, -1.543235539358534e-10, 1.6188672624650735e-10] QuasiNewtonMethods.optimum(state) .- 1 = [9.922063171075024e-12, 2.7582158779182464e-11, 2.457967163138619e-11, 5.902167643512257e-12, 3.246691804292823e-11, 1.695354967523599e-11, 1.628186474533777e-11, -1.7131740470688328e-11, 1.859179477037287e-11, 5.530909064077605e-11, 4.8157700049955565e-11, 1.056399412391329e-11, 6.530664897752558e-11, 3.44120287820715e-11, 3.258837644182222e-11, -3.408096027612828e-11] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [2.0327295402466916e-11, 7.842482219189151e-11, 9.674261391978689e-11, 4.375166895442817e-11, -1.586907272255189e-10, 7.771916443743976e-11, -6.627032256290022e-11, -1.040920682982005e-10, 4.7420734006209386e-11, 1.608706501343704e-10, 1.866264920380445e-10, 8.841061216458002e-11, -3.1629787677900367e-10, 1.4952372673349146e-10, -1.3483547611770064e-10, -2.0219759200301723e-10, 8.821166019856719e-12] QuasiNewtonMethods.optimum(state) .- 1 = [8.747225166416683e-12, 1.2078338329502003e-10, -2.799593890046026e-11, -2.276845378901271e-12, -2.3541280036454282e-11, 5.640354849845153e-11, 9.863443395374816e-12, -3.403988202421715e-11, 1.7741141888905076e-11, 2.369873186580662e-10, -5.784006607001402e-11, -1.0234590952507006e-11, -4.446498724774983e-11, 1.093825030551443e-10, 1.40032430095971e-11, -6.80779876915949e-11, -7.388534228880417e-13] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [1.4365841849439676e-11, -2.0297652447709424e-11, 2.8130830997952216e-11, 2.027711332175386e-12, -2.5508040124577747e-11, 5.3514970232981796e-12, -1.9014678720452594e-11, -1.2228329460128862e-11, 3.6282088444750116e-12, 3.363487266483389e-11, -4.299338662860919e-11, 5.6395554892674227e-11, 2.190470027585434e-12, -4.72714090093973e-11, 1.060818100029337e-11, -3.966249551012879e-11, -2.507838381404781e-11, 1.3578027591165664e-12] QuasiNewtonMethods.optimum(state) .- 1 = [3.5352165639324085e-11, 6.418510167804925e-11, 3.072164744821748e-11, -7.92799159654578e-12, -3.9647174432388965e-12, 5.975575589900473e-11, 2.8754776337791554e-11, 2.0409451906289178e-11, -3.974276463480919e-11, 7.299250093240062e-11, 1.2740342114625491e-10, 6.128431095930864e-11, -1.2404743898741799e-11, -7.927436485033468e-12, 1.2289191886338813e-10, 5.905875788414505e-11, 4.3434589258595224e-11, -9.789913324453892e-11] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [-2.1749158030104354e-11, 4.07767153376426e-11, -2.000749566022364e-10, 1.1207967887116865e-10, 5.7196469782638815e-12, 1.3279555233225437e-10, 8.186451516678517e-11, -1.6315082618234555e-10, 3.841083007216639e-11, -4.860767344183614e-11, 7.449796335379233e-11, -4.030450417857878e-10, 2.1324519927645724e-10, 1.0706768804880085e-11, 2.5224511368548974e-10, 1.7277734798426536e-10, -3.28813642980208e-10, 7.475331464945612e-11, -1.3827827771706325e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-4.09772216158899e-11, 4.976019596369952e-12, 2.5380808565955704e-11, -6.982892042373123e-11, -3.141009674578754e-11, -3.1147640022766154e-11, -1.5942802633617248e-13, -1.8526735701129837e-11, 1.2300271912124572e-10, -8.45016279171773e-11, 1.085487255636508e-11, 5.017031234899605e-11, -1.348791078825684e-10, -6.364642146650112e-11, -6.059397428259672e-11, 7.031042414951116e-12, -3.678191085043636e-11, 2.544773280988011e-10, 3.6841640849161195e-12] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [-1.0233269787107702e-10, -3.780575852374568e-11, 7.071276897363532e-11, 3.5806690945605624e-11, 1.0182010790060758e-10, 7.30171478835473e-12, 2.5901725209109827e-11, -7.274214564034764e-11, 1.1277001554788058e-10, 1.7625900738948985e-11, -2.090344564109614e-10, -8.67858007680411e-11, 1.4094991840352122e-10, 8.20714607385753e-11, 2.1869994704104556e-10, 1.6028733895723235e-11, 5.614975151502222e-11, -1.4393541913904073e-10, 2.3440893670567675e-10, 4.3519410297676586e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-8.036726839577568e-11, -1.879651989611375e-11, -1.1158518553600061e-11, 2.1328494526073882e-11, 1.823119433197462e-11, 2.3355095635224643e-11, -6.855793710514035e-11, -2.1891266577256374e-11, 2.0759616248255952e-11, -3.3215652450735433e-12, -1.6462575747056007e-10, -3.6289526939015104e-11, -2.5747626253291855e-11, 4.822053867314935e-11, 3.633227052546317e-11, 4.4644732355436645e-11, -1.356255108220239e-10, -4.5558667949308074e-11, 4.3012704509237665e-11, -8.235967463576799e-12] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [-4.232492134548238e-11, -1.471615052039965e-10, -1.7347601133366197e-10, -1.1607603767060937e-11, 2.0127011168824538e-11, -5.919720269531581e-11, -1.5100265482459463e-10, -2.5562552075086842e-11, 4.5966563888555356e-11, -5.064570984814054e-11, -7.61898322210186e-11, -3.1405944511675443e-10, -3.5308922452514935e-10, -1.757449741290884e-11, 3.618905175528653e-11, -1.3221457262346803e-10, -2.9032232173875627e-10, -5.340705655498823e-11, 1.0122080951191492e-10, -1.1264578159142502e-10, 1.457611809030368e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.30578214907473e-10, 6.203482172395525e-11, -1.1056155990729621e-10, 5.381184386976656e-11, -2.0923596188993088e-11, 1.6366019650604358e-10, -1.986343312054828e-10, -9.210632256895224e-12, -7.679856750542058e-12, -1.0236955727549457e-10, 2.5839952400019683e-10, 1.3387246866614078e-10, -2.2629120799422253e-10, 9.925971156121705e-11, -3.409239557328192e-11, 3.151119365440991e-10, -3.9522252137658143e-10, -1.0228040636661717e-11, -1.7617907133171684e-11, -2.0184665050493322e-10, -1.1308620706529382e-11] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [1.4002554671321832e-10, 1.3786816133176671e-10, -1.2644107982850983e-11, -2.0379642418077992e-10, -7.228695420025133e-11, -2.0898927033385917e-10, 7.594969098079218e-11, -5.850098183657337e-11, 6.1743943291503456e-12, -2.216732353232942e-10, 1.7125056928080085e-10, 2.9060909234601695e-10, 2.5167934403214076e-10, -4.993505609007798e-11, -4.2253467391617505e-10, -1.324856890860815e-10, -4.1738024147974784e-10, 1.5497025884769755e-10, -1.1809853095456901e-10, 7.353895270512112e-12, -4.2901515673321455e-10, 3.3095748364075916e-10] QuasiNewtonMethods.optimum(state) .- 1 = [4.055267233127324e-11, -2.01164640500906e-11, -5.739297925799747e-12, 2.031153023551724e-11, -9.341449835886806e-11, 1.5869527913991988e-12, 5.14313036603653e-11, -9.207878903794153e-11, -2.130062792815579e-11, 1.1930678667226857e-10, -1.6920065348813296e-10, 7.820966096971915e-11, -3.9994452194491714e-11, -1.5715873047383866e-11, 5.072742226275295e-11, -1.7983758926476412e-10, 3.958167127393608e-12, 1.0768586022891213e-10, -1.7348800174232792e-10, -4.205835679726988e-11, 2.347748662145932e-10, -3.3106384300651825e-10] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [-9.419354185524753e-12, -2.0415114043714766e-11, -1.1283862733080241e-11, 4.810152276490953e-12, 2.8044233602031454e-13, -1.2339351762591377e-11, 6.276779096481278e-11, 4.257705299437475e-12, 6.412137487643577e-11, 1.2663203818874536e-11, 9.92521620446496e-11, -1.754929535024985e-11, -4.159672606363074e-11, -2.279487709699879e-11, 1.2606804489223578e-11, 1.9380053117856733e-12, -2.2480350914122482e-11, 1.2558909467941248e-10, 5.205613717862434e-12, 1.306161845349152e-10, 2.4272139853565022e-11, 2.0100254793931072e-10, -1.4555023852835802e-13] QuasiNewtonMethods.optimum(state) .- 1 = [4.6215919979886166e-11, -1.3927414777015201e-11, -1.1008616240815172e-10, -6.70197231045222e-11, 2.204636473379651e-11, -4.621947269356497e-11, -1.0411449480329793e-11, -2.0674684186872128e-11, -2.9941604751115847e-12, -4.1548320339757083e-11, -4.241496043277948e-11, 9.75233227507033e-11, -3.0985658483473344e-11, -2.2401647203906805e-10, -1.3337941862090474e-10, 4.2049252968467954e-11, -8.998590761422065e-11, -2.0376256237852886e-11, -3.876832188609569e-11, -3.852584917751756e-12, -8.02587996062698e-11, -9.47436573639493e-11, 4.089617533509227e-12] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [7.368505805516179e-11, 9.021006164289247e-12, 4.948463860898755e-11, 3.127320624685126e-11, -3.352396138467384e-11, -5.5582538571741225e-11, 6.992850742904011e-12, -4.128131170233473e-11, -6.013534115112407e-11, 1.0803802297232323e-10, 2.1356472146294436e-11, -3.4497404932665177e-11, 1.4209478038651469e-10, 2.3208102106764272e-11, 9.724310245928791e-11, 5.6587845520539304e-11, -6.50539622171209e-11, -9.833489578170429e-11, 9.038991777288174e-12, -7.102907151335103e-11, -1.1622447448900175e-10, 2.35809149984334e-10, 5.077183118373796e-11, -6.896827553504181e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-4.781879336945849e-10, 6.77373712676399e-11, 3.1292146651651365e-10, -8.68465299674881e-11, 5.456768370493137e-11, -3.909161883086654e-11, -1.6812051750747514e-10, -8.881639868008051e-11, -4.933631281289763e-11, 2.4491519923230953e-10, 5.4652726788617656e-11, -1.625763967894045e-10, -9.603914330469365e-10, 1.388287262926724e-10, 6.078886283233942e-10, -1.8718837591080728e-10, 8.661960038125471e-11, -8.146472385561765e-11, -3.298433748355478e-10, -1.7684542719109686e-10, -8.428624465040002e-11, 4.972253719870423e-10, 1.1546208433799166e-10, -3.0237767845164853e-10] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 3m50.3s Method ambiguity | 1 1 10.0s Unbound type parameters | 1 1 0.1s Undefined exports | 1 1 0.0s Compare Project.toml and test/Project.toml | 1 1 0.3s Stale dependencies | 1 1 7.5s Compat bounds | 3 1 4 10.4s julia | 1 1 0.1s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") deps | 1 1 0.4s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") extras | 1 1 9.9s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") weakdeps | 1 1 0.0s Piracy | 1 1 0.2s Persistent tasks | 1 1 42.1s RNG of the outermost testset: Random.Xoshiro(0xe549a5cb8694ef43, 0x7c63addaff4af064, 0xb1ee7d291e135f4a, 0xacf2d744fbe49c30, 0x8ec1040cfe16e231) 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 259.52s 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 507.02s: package has test failures