Package evaluation of QuasiNewtonMethods on Julia 1.13.0-DEV.640 (0a970d81aa*) started at 2025-05-27T17:02:50.603 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.3s ################################################################################ # 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 To see why use `status --outdated -m` Installation completed after 3.57s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 206.6s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_IpmpOi/Project.toml` [4c88cf16] Aqua v0.8.12 [64452400] QuasiNewtonMethods v0.1.4 [d1fa6d79] StrideArrays v0.1.29 [8dfed614] Test v1.11.0 Status `/tmp/jl_IpmpOi/Manifest.toml` [79e6a3ab] Adapt v4.3.0 [4c88cf16] Aqua v0.8.12 [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/EPo21/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/EPo21/src/deps_compat.jl:60 [3] test_deps_compat @ ~/.julia/packages/Aqua/EPo21/src/deps_compat.jl:55 [inlined] [4] macro expansion @ ~/.julia/packages/Aqua/EPo21/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/EPo21/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 = [-8.307909915572509e-12, -1.7289725207092488e-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 = [2.922107000813412e-13, 5.784261958297066e-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 = [-2.120748021638974e-12, -4.578448731251683e-12, -2.4266144649232047e-12] QuasiNewtonMethods.optimum(state) .- 1 = [1.0880185641326534e-12, 2.3574475704890574e-12, -1.1284306822290091e-12] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [-1.7087997683518097e-11, 4.8755222081808824e-11, -3.4789948699653905e-11, 8.926925865182511e-11] QuasiNewtonMethods.optimum(state) .- 1 = [3.4172886742567243e-11, 8.271494600364804e-11, 6.469869084924085e-11, 1.6449575035437647e-10] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [-1.87855619948607e-10, -1.154261131119938e-10, -3.852134167203758e-10, -2.097954032720395e-10, -8.711920074233603e-12] QuasiNewtonMethods.optimum(state) .- 1 = [1.7969625787372934e-11, -1.0889067425523535e-12, 3.651035029861305e-11, -6.586065026681354e-12, 1.9590995492535512e-12] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [1.93194349407122e-11, 5.402789327035862e-12, 2.6476820735865658e-11, 4.1195269417926283e-11, 6.574962796435102e-12, 4.196443192938659e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.2795986492619704e-11, -1.3822942790397974e-11, 1.2119860670622984e-11, -2.998767900663779e-11, -2.527522635631385e-11, 2.6077140447000602e-11] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [-2.922539987793016e-11, -1.0596745703139732e-11, 1.7415846542689906e-11, -6.040334898926858e-11, -1.784328240717059e-11, 3.187561326001287e-11, 3.3581581959651885e-11] QuasiNewtonMethods.optimum(state) .- 1 = [7.42919059604219e-11, -1.215407774424193e-10, -3.829525585530291e-11, 1.5420043020242247e-10, -2.5313129370374554e-10, -7.76192443652235e-11, 4.2241321551728106e-11] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [1.9450885346827818e-11, 4.242162177092723e-11, -1.006329464203759e-10, -1.4180434604327274e-11, 4.045719315115548e-11, 8.553979746750429e-11, -1.9988577459884027e-10, -3.7919778428374684e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.1941558852868184e-12, 1.7967183296718758e-11, -3.194888797963813e-12, -1.392164161728715e-11, -1.0303979891546078e-12, 3.669931025740425e-11, -8.402167850363185e-12, -2.7096325183606496e-11] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [-6.920430895007712e-11, 5.6666005221472915e-11, -7.317013661634064e-11, 3.948197324632474e-11, -1.440291219623191e-10, 9.981437898431977e-11, -1.511558656019929e-10, 7.884515262901459e-11, -2.9616642471808063e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.3021139722013686e-11, -3.521738456413459e-12, -7.788880651560248e-12, -6.6637806384051146e-12, 2.5726309971219052e-11, -8.555600672366381e-12, -1.6091350474312094e-11, -9.697465053193355e-12, -2.2304380564719395e-12] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [3.3657077125326396e-11, 8.403300277848302e-11, -2.7767566024294865e-11, 2.070565940925917e-11, -1.5161094601978675e-11, 7.113509781220273e-11, 1.7006107633221745e-10, -5.102485101105003e-11, 3.8288261450247774e-11, -2.8530511286817273e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-3.404165838105655e-11, -4.704414635625653e-11, -4.3428927121169636e-11, 1.223310341913475e-11, 1.4595213926327233e-11, -6.587297374238688e-11, -9.293876779281618e-11, -9.574274706380947e-11, 2.6644242367979132e-11, 3.320277386364978e-11] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [1.1649348152786843e-11, 1.6999290863850547e-11, 1.0220491120094266e-11, -5.8152371806841074e-12, -3.451605667947888e-11, 2.3354651546014793e-11, 3.5105918172462225e-11, 2.003308630094125e-11, -1.0731082689119376e-11, -7.12927494816995e-11, -9.780842802342704e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-3.5169422929470784e-11, 1.6165957461566904e-11, -3.336475540294259e-11, 2.8907098936770126e-11, 9.87669945828884e-11, -6.523304119099294e-11, 3.960942684955171e-11, -6.365918903128431e-11, 4.8858028733889114e-11, 2.0095325403701736e-10, -3.854805363801006e-12] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [-7.917155819825439e-11, -2.2815083156046967e-11, 4.32409663631006e-12, -2.6175284162377466e-11, 6.328315649284377e-11, -1.1549206035965653e-11, -1.583332354115896e-10, -4.450406709821664e-11, 7.282840996936102e-12, -5.222178245389841e-11, 1.3568213219627978e-10, -2.0601742534154255e-11] QuasiNewtonMethods.optimum(state) .- 1 = [7.505507326754923e-11, -1.3010303945293344e-10, -4.1685654927903215e-11, 2.234656903965515e-11, -2.5870861009025248e-11, 1.3846257473915102e-11, 1.4935874759203216e-10, -2.717239766525381e-10, -6.555334053359729e-11, 4.85820272899673e-11, -5.030265093353137e-11, 3.025824035773894e-11] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [-1.3770096174425817e-11, 5.030753591483972e-11, -1.1909806474363904e-10, -7.64510676987129e-12, -6.411715602894219e-11, 1.4073808785042274e-10, -3.5042302393151203e-11, 1.0949863238352009e-10, -2.3212454181020803e-10, -1.0063061495202419e-11, -1.1901368779376753e-10, 2.7983815265031353e-10, -5.757061494193749e-12] QuasiNewtonMethods.optimum(state) .- 1 = [3.6437297623592713e-10, -1.4893408728511304e-10, 2.666267207018791e-11, -5.029627825337002e-10, -1.7140400210280404e-11, 1.3313439239936997e-10, 7.302027871247674e-10, -2.7455271389698055e-10, 4.580180679170098e-11, -1.0090189794809135e-9, -4.55713244917888e-11, 2.424611622586781e-10, 5.442535311317442e-12] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [-8.548384222706318e-12, -2.9714675164882465e-11, 6.7275074400185986e-12, 1.9833024111903796e-12, 1.5570655875762895e-11, 4.661160346586257e-12, 1.0260681193585697e-12, -1.7600698676289994e-11, -6.179723399668546e-11, 1.2565504192707522e-11, 3.112843316444014e-12, 3.122857528126133e-11, 8.404388296412435e-12, 1.2778667013435552e-12] QuasiNewtonMethods.optimum(state) .- 1 = [2.362776641007258e-12, -2.2279622591270254e-11, 2.3425927864195728e-11, -6.928235762870827e-12, -4.11226608321158e-13, 1.2130074722449535e-11, 2.534839005363665e-11, 4.967359856777875e-12, -4.493849736775246e-11, 4.4583003955267486e-11, -1.690592110747957e-11, 1.8252066524837574e-13, 1.8403945034606295e-11, 4.5847325935710614e-11] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [8.265677031715768e-11, 7.431899540222275e-11, 5.353339993519057e-11, 5.7440052714241574e-11, -7.403766488778274e-11, 5.397904345727511e-13, 2.015099198615644e-11, 1.7237189453567225e-10, 1.5426926402994923e-10, 1.0098011316017619e-10, 1.2286260897553802e-10, -1.4764378608589368e-10, 2.6196822489055194e-12, 4.092415295531282e-11, 3.525180147789797e-12] QuasiNewtonMethods.optimum(state) .- 1 = [7.834710658016775e-11, -8.164280362876752e-11, -2.4126289854820016e-10, 1.1181500170209802e-11, -4.98123764458569e-12, -2.169209256663862e-11, -6.804634633539308e-11, 1.5705325928649927e-10, -1.5926704399760183e-10, -5.050148077501149e-10, 2.503330875924803e-11, -9.36406507889842e-12, -4.522959784480918e-11, -1.4221013255877324e-10, 1.8460877271309073e-10] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [5.0881521218570924e-11, -1.567190821560871e-12, 7.829226156275126e-11, 2.462030579408747e-12, 6.794342866101033e-12, 2.449396241388513e-11, 1.1085132811672338e-11, -6.837075350318855e-11, 9.92965709656346e-11, -2.3777646518396978e-12, 1.5519918683537526e-10, 1.805333660342967e-11, 7.633671472717651e-12, 5.225175847556329e-11, 3.484101895878666e-11, -1.39037226176697e-10] QuasiNewtonMethods.optimum(state) .- 1 = [1.89743776246587e-11, 3.2791103166118774e-11, 1.6257439838796017e-11, -1.2267187265990742e-11, 4.008793297316515e-12, 1.9708012999331004e-11, -8.291034525598207e-12, 4.3300918406430355e-11, 3.629208045197174e-11, 6.390421525281909e-11, 3.470135290228882e-11, -2.51882958934857e-11, 8.735900891565507e-12, 3.6356695432004926e-11, -1.830047224871123e-11, 8.50750581093962e-11] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [-1.5615286841352827e-11, -2.623634642873185e-11, -2.1363355529047112e-11, 6.158695775582146e-11, 2.808997479064601e-11, -5.460998320216959e-11, 5.459410701291745e-11, -2.760891515407593e-11, -3.2121305615362417e-11, -5.5774052043489064e-11, -4.6158077360303196e-11, 1.1967227209197517e-10, 5.650213630303824e-11, -1.0974510189498687e-10, 1.0411826956158166e-10, -5.3263393695601735e-11, 3.389954983390453e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-2.632338791386246e-13, 4.1526782013079355e-12, -7.059530737762998e-11, 1.9488854974269998e-12, -1.6795231871924443e-11, -9.802880729381513e-11, -2.3628876633097207e-12, -4.7436943262368914e-11, -1.0748624212908453e-11, 4.1027181651998035e-12, -1.3717560420900554e-10, 1.070921129553426e-11, -3.9499736814718744e-11, -1.893972756406015e-10, -6.339151426004719e-12, -8.490685932116548e-11, 1.1540102207163727e-11] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [8.31856805660891e-11, 6.054912127240186e-11, 2.167868107250115e-10, 1.520459314008349e-10, 5.111866485663086e-11, -1.313871234032149e-10, -3.171685136749147e-11, -2.5767377120899937e-10, -2.117913622257106e-10, 1.6420287352048035e-10, 1.1170819824712908e-10, 4.4828718515077526e-10, 3.131190862148969e-10, 1.001783100917919e-10, -2.6098934124973994e-10, -6.870215507603916e-11, -5.112169576548808e-10, -4.126494701495176e-10] QuasiNewtonMethods.optimum(state) .- 1 = [7.519096456576335e-12, -2.6113888829115695e-11, 1.0062173316782719e-11, -3.2915226100271866e-11, 6.832423515845676e-11, 9.174883075502294e-13, 3.001821013981498e-11, 1.6845635997242425e-11, 9.744871576344849e-12, 2.0464963057520436e-11, -5.2434612207719056e-11, 1.8663959266973507e-11, -7.17083059598167e-11, 1.326707632642865e-10, 2.956301869971867e-12, 5.947664583061396e-11, 3.263567194267125e-11, 2.0231150088534378e-11] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [2.1427082330660596e-11, 7.618461417280287e-11, -2.3301360840832785e-11, -3.2346791911663786e-11, 5.6247229096584306e-11, -3.380518087681139e-12, -2.129041387632924e-11, 6.620148873537346e-11, -8.234257720118876e-11, 3.993871899865553e-11, 1.5741163927884827e-10, -4.601430347861424e-11, -6.327061097266551e-11, 1.1190759430235175e-10, -1.1450729253681402e-11, -4.3100079061275665e-11, 1.3196954640193326e-10, -1.5891210569662917e-10, 2.3707702467845593e-12] QuasiNewtonMethods.optimum(state) .- 1 = [1.575362063022112e-11, 3.816991167582273e-11, 9.77335989915673e-11, -1.836142349276315e-11, 1.0343104150933868e-10, 6.228861870738456e-11, 3.13729042744626e-11, 4.937761310941369e-11, 5.415423665056096e-11, 2.9829472225628706e-11, 8.06850142254234e-11, 1.9414336804857157e-10, -3.792632874421997e-11, 2.0828205826717294e-10, 1.3256395980931757e-10, 7.372658039628277e-11, 9.64837099104443e-11, 9.993761374005317e-11, 4.340972026284362e-13] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [1.8704815474279712e-11, -7.780220911968172e-12, 1.8703927295860012e-11, 1.6290302440324922e-11, -7.736811191705328e-12, -3.2577052166971043e-11, 1.45345957491827e-11, 7.007727731433988e-12, -1.8675283541824683e-11, 2.6853186341213586e-11, 4.1700642938735655e-11, -1.566791141272006e-11, 3.816369442688483e-11, 3.274736037894854e-11, -1.727740173151915e-11, -6.505795902000955e-11, 2.6987745371798155e-11, 1.3993028957770548e-11, -3.815936455708879e-11, 5.5097926221492344e-11] QuasiNewtonMethods.optimum(state) .- 1 = [3.7734371183262283e-10, 2.8542856966851105e-10, -3.9351522040931286e-11, 1.1029865909506498e-10, 1.695861229222828e-10, 1.3420864419799727e-10, -1.6040679895468202e-10, -3.2419444906395256e-10, 1.0883538514860902e-10, -1.4251255731068113e-10, 7.613392138949848e-10, 5.713571837873133e-10, -8.922151906176623e-11, 2.0932100497361716e-10, 3.372560009040626e-10, 2.584461533672311e-10, -3.298223916203824e-10, -6.604325974990388e-10, 2.0938806244430452e-10, -3.0255598026940334e-10] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [-6.797562512872446e-12, 1.5192824776022462e-10, -3.8305580929431926e-11, 1.4881829102364463e-10, -6.967049159811722e-11, -7.160383397319947e-12, 1.3176548741000715e-10, 1.595523713149305e-11, 2.853854930151556e-10, 3.325562047962194e-11, 1.2614354005791029e-12, 3.078894916797026e-10, -8.012290830805568e-11, 2.991025205290043e-10, -1.4515388890856684e-10, -1.4441225992811724e-11, 2.6326452129410427e-10, 2.2201573912639105e-11, 5.865510299685184e-10, 6.687472797750615e-11, 1.607314281670824e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-5.860090190878964e-12, 9.508593912244123e-11, 1.1994849558050191e-12, -6.283296105635827e-11, 8.709388765737458e-11, -5.562328375674497e-11, 1.5607826142627346e-10, 9.04143426794235e-12, 6.764144799831229e-11, -2.3236856883102064e-11, -1.8111845356827416e-11, 1.9121770833407936e-10, -5.552447390755333e-12, -1.3306789004019492e-10, 1.8136514512434587e-10, -1.0309686437892651e-10, 3.1256308652416465e-10, 1.2536194304857418e-11, 1.460671583686235e-10, -5.372247091628424e-11, -9.213185769851862e-12] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [-1.67615921142783e-10, -3.7194247681782144e-11, 6.958034148851766e-11, 2.737809978725636e-12, 7.76370079336175e-11, 3.641686951993961e-11, -6.890232828737908e-11, -8.532874407052304e-11, 2.383737651712181e-11, -4.82209827623592e-11, 8.573386445220876e-11, -3.45735995388452e-10, -7.036426996620548e-11, 1.437057139952458e-10, 8.453238109495942e-13, 1.5755508009362984e-10, 7.686229430703406e-11, -1.4615131327389008e-10, -1.7561985199421315e-10, 4.494338234906081e-11, -9.130962652648122e-11, 1.7742629587758074e-10] QuasiNewtonMethods.optimum(state) .- 1 = [2.8419933073564607e-11, 2.373012897294302e-11, -3.584055274785669e-11, 2.524735975839576e-11, -3.409761362149766e-11, -1.0736189715032651e-11, 3.1560754010229175e-11, 4.099076633679033e-11, 3.546274385257675e-12, -5.952682791132702e-12, 3.285061112023868e-11, 6.038392008633764e-11, 5.2477355794167124e-11, -7.717948502516947e-11, 5.413292036848816e-11, -6.709743871624596e-11, -2.0276447187939084e-11, 5.980016481998973e-11, 8.007661200792882e-11, 1.212896449942491e-11, -1.10781384066172e-11, 5.502487354647201e-11] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [-1.1385414833142704e-10, -2.206501648061021e-11, -7.325784423528603e-11, -6.27324858726297e-11, -1.202260513366582e-11, 3.240341328591967e-11, -2.75337752597693e-10, -6.29765128934423e-11, 2.8250402017704346e-10, -7.251488298720687e-11, -3.072153642591502e-11, -2.2380430841906218e-10, -4.847833245946731e-11, -1.5199774772156616e-10, -1.2289380624253e-10, -1.7210122216226864e-11, 6.373568339768099e-11, -5.439317884992079e-10, -1.3145062816022346e-10, 5.684979154096936e-10, -1.3102330331804524e-10, -6.820499720561202e-11, 1.9619861291175766e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-8.01696486973924e-11, 5.331490804394434e-11, -1.2518708292219571e-10, 3.284750249576973e-11, 1.2992940057188207e-10, -5.206535202972873e-11, 4.285172217066702e-11, 1.4988454921649463e-10, 1.5662382502057426e-10, 1.3104184404255648e-10, 1.0034661990232507e-10, -1.570336083389634e-10, 1.0971357156108752e-10, -2.515924135693126e-10, 6.346634329190692e-11, 2.5297541839108817e-10, -1.1014111844787067e-10, 8.24458279424789e-11, 2.9093194520157795e-10, 3.082365473972004e-10, 2.634981122184854e-10, 1.9055401700995844e-10, -9.288347868618985e-12] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [-4.7764014965423485e-12, -1.6021295401458246e-11, 3.447242491461111e-12, -6.927791673660977e-13, 3.24356097536338e-11, 3.958167127393608e-12, 1.187383524836605e-11, -1.0146983253633834e-10, -9.986456106503283e-12, 4.523270646927813e-12, 4.684896914852743e-11, 1.616040634644378e-11, -1.0058509580801456e-11, -3.225564260134206e-11, 6.63047394766636e-12, -1.1668443988810395e-13, 6.525202600471403e-11, 9.195089134550471e-12, 2.4565682821275914e-11, -2.0524060229121233e-10, -1.993782916542841e-11, 8.850697952311748e-12, 9.466805117597232e-11, 3.259947867206847e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-3.059585917952745e-11, -4.26506607809074e-11, -7.408529345553916e-11, -5.621059173677168e-13, -2.9909796861460336e-10, 4.553823984565497e-11, -2.5714208540250638e-11, -3.689892835723185e-11, -1.1703404911855841e-10, -8.715617116905605e-11, 9.04400998535948e-11, 4.562439315236588e-11, -5.5272675325568343e-11, -7.023215342627509e-11, -1.534590232665778e-10, -6.7873484610458945e-12, -5.854572382446577e-10, 1.0111156356629181e-10, -4.8137160924e-11, -6.837752586363877e-11, -2.3642976465509946e-10, -1.932630722123463e-10, 1.8220158715109847e-10, 1.0056089294607773e-10] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 4m12.6s 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 0.6s Stale dependencies | 1 1 7.2s Compat bounds | 3 1 4 11.6s 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 10.9s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") weakdeps | 1 1 0.0s Piracy | 1 1 0.3s Persistent tasks | 1 1 44.6s Undocumented names | 0 0.0s RNG of the outermost testset: Random.Xoshiro(0x76df3371e1ecb1a3, 0x289dde95b0113a13, 0x836aaad2216a224e, 0xe21ff65d29003b87, 0xb0ade1d9b834ac13) 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 282.32s 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:331 [12] _start() @ Base ./client.jl:564 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 527.52s: package has test failures