Package evaluation of QuasiNewtonMethods on Julia 1.13.0-DEV.626 (157b8bc303*) started at 2025-05-23T03:43:11.160 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 7.82s ################################################################################ # 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 v0.5.3 [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 To see why use `status --outdated -m` Installation completed after 3.84s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 204.35s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_kwUE0U/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_kwUE0U/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 v0.5.3 [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 v2025.2.25 [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/nn4y1/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/nn4y1/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/nn4y1/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 = [-9.809930645587883e-13, -1.609823385706477e-13] 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 = [1.9915624704935908e-11, 3.854450092433126e-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 = [-4.676867781938654e-10, -9.421711189006032e-10, -1.2873094812348995e-9] QuasiNewtonMethods.optimum(state) .- 1 = [1.8546031377297822e-10, 3.8335268293110403e-10, 4.2269077127343735e-11] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [-2.0584889348640445e-10, -3.262867753761611e-11, -4.26599977565445e-10, -6.562872467696934e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.4283241256407564e-11, -4.934319619565031e-11, 3.0208946455445584e-11, -9.536249567787536e-11] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [-2.7207014419161624e-11, -2.0177082227235132e-11, -5.513223211295326e-11, -4.02409217059585e-11, 8.08242361927114e-13] QuasiNewtonMethods.optimum(state) .- 1 = [-4.143840826031919e-11, 3.090017131057721e-11, -8.440081966654134e-11, 6.222000692446272e-11, 5.752065490582936e-12] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [-4.937050768205609e-12, 1.7503776206240218e-12, 1.0340617251358708e-12, -9.247935750522629e-12, 2.9056757000489597e-12, 1.3882228699912957e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-1.850741782050136e-13, -3.3086866579878915e-12, 4.669153952363558e-12, -3.581579477440755e-13, -6.324607504382129e-12, 8.869571743730376e-12] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [1.0307310560619953e-11, -4.6592729674443945e-12, 2.8522295636435047e-11, 2.183631053753743e-11, -1.4615197940770486e-11, 5.714317907745681e-11, -3.306155349491746e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.468603016974157e-11, -1.2535794624568553e-10, -4.1511349913037066e-11, 5.1108450804804306e-11, -2.557499767519289e-10, -8.211076263364703e-11, -2.8569191456995213e-10] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [-3.86601861634972e-12, -1.0685119455899894e-11, 5.995204332975845e-13, -1.6239787292704477e-11, -5.3506088448784794e-12, -2.186506531387522e-11, 4.849454171562684e-13, -3.168632023431428e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-7.596145934485321e-13, -9.072631534934317e-12, 9.42579347906758e-13, -1.0639822356495188e-11, -2.336464355323642e-12, -1.416300410284066e-11, 1.0031975250512914e-12, -2.5192403718676815e-11] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [-3.234301715338006e-12, -3.645972412869014e-12, 8.76343442257621e-12, -1.8314239014216582e-12, -6.669664820435628e-12, -5.988654017130557e-12, 1.822808570750567e-11, -3.4876546095574668e-12, -1.0134049155396951e-10] QuasiNewtonMethods.optimum(state) .- 1 = [1.3291812095417299e-11, 1.826960804862665e-11, 1.9425572261866364e-11, 1.067390620335118e-11, 2.58837395961109e-11, 3.677613769070831e-11, 3.648703561509592e-11, 1.6979306849407294e-11, 3.679279103607769e-13] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [4.093614336397877e-12, 2.9682478697168335e-11, -1.6661505508608343e-10, -8.688871844242385e-11, 1.7024381904207075e-11, 2.8723912137706975e-11, 6.513944939001703e-11, -3.363799239153309e-10, -1.7528301032854188e-10, 2.7782887102034692e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.2550516181875082e-11, -1.8477552821138943e-11, -7.965661463771312e-11, -2.0609625117629093e-11, -6.885148007285125e-11, -2.5697444172578798e-11, -4.0435765846780214e-11, -1.6511569889132716e-10, -4.1418646290480865e-11, -1.3861356507050004e-10] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [1.1284084777685166e-11, 1.0868150823739597e-10, 3.503375367586159e-11, 2.220357231408343e-11, 1.3768319817586416e-10, 1.5816459253414905e-11, 2.2989898873504444e-10, 6.671707630800938e-11, 4.3059555920876846e-11, 2.6425683863351423e-10, -4.3337555766242986e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-6.497691273921191e-12, 1.667821436512895e-11, -2.0197621353190698e-11, 7.716716154959613e-12, 3.427502726083276e-11, -1.2866707699288327e-11, 3.393130221240881e-11, -3.703570783386567e-11, 1.6749712727914812e-11, 6.916245354204875e-11, 2.710320856635917e-11] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [-6.099787341895535e-12, 4.980682533073377e-12, 2.538413923502958e-11, -2.646372010417508e-11, 1.9436674492112616e-11, 1.0335732270050357e-11, -1.5274892462002754e-11, 1.886935052652916e-12, 5.074762832180113e-11, -4.744782344801024e-11, 3.9353187375468224e-11, 2.1014745499314813e-11] QuasiNewtonMethods.optimum(state) .- 1 = [3.0240254744740014e-11, -3.91121579568221e-11, 3.0754510049746386e-11, -4.590505753299112e-11, 6.374101246819919e-11, -5.669575919853287e-12, 5.7519988772014585e-11, -7.645073463180552e-11, 5.883538101159047e-11, -8.560685493819165e-11, 1.2827383599756104e-10, 8.815170815523743e-13] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [-7.759104470039802e-11, -3.05803160571827e-11, 2.0764723274169228e-11, 1.5140533271562617e-10, 5.021716376063523e-11, -3.169242646094972e-12, -1.6154277915347848e-10, -6.406997155039562e-11, 3.484412758325561e-11, 2.9852542660080417e-10, 1.0712741804752568e-10, -1.8812729152273278e-12, 2.3663293546860587e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-9.531264666406969e-13, 6.000999697164389e-11, -1.1420864254318985e-12, -5.766009891772228e-11, -4.084788063352107e-11, -2.5286328586560103e-11, -4.02311517433418e-12, 1.236739599619341e-10, 1.1972645097557688e-12, -1.1401646293762724e-10, -7.807798851899861e-11, -4.753830662451719e-11, 3.01381142264745e-12] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [-1.7951196085164156e-12, -7.2205574852546306e-12, 4.426370381338529e-11, 2.227551476607914e-12, -8.696821041098701e-12, -1.10763620497778e-11, 4.7805093217334615e-11, -3.5564884370842265e-12, -1.517319603294709e-11, 8.715672628056836e-11, 3.4350300381902343e-12, -1.6290524484929847e-11, -2.3571811169631474e-11, 1.025157736478377e-10] QuasiNewtonMethods.optimum(state) .- 1 = [2.1827428753340428e-11, -1.1529233123752647e-10, -1.9862556044358826e-11, 1.6073808950523016e-12, 5.2025495023144686e-11, -4.177280743533629e-11, -3.508193735513032e-12, 5.205924580309329e-11, -2.2691903911464806e-10, -4.9599990781246106e-11, 1.4521717162097048e-12, 9.429546032890812e-11, -8.10229661141193e-11, -8.926193117986259e-13] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [3.767808287591379e-11, -3.5920155738722315e-12, -1.2532197501968767e-11, 3.4247937819031904e-11, 1.2226131218540104e-10, 8.601852563572265e-11, -1.910627211998417e-11, 8.82898198995008e-11, 2.326139281194628e-12, -2.200717386102724e-11, 6.486566839214447e-11, 2.4039237267459157e-10, 1.6324408491641407e-10, -3.831401862441908e-11, 3.860023412016744e-12] QuasiNewtonMethods.optimum(state) .- 1 = [3.080891097795302e-11, -1.846589547938038e-11, 3.995248576416088e-12, 1.4859224961583095e-12, -2.6756596938071198e-11, 9.440670467597556e-12, -2.804045884374773e-11, 5.825695481576076e-11, -3.760147748721465e-11, 7.358114118005687e-12, 2.688960165642129e-12, -5.592437624102331e-11, 1.755018352866955e-11, -5.6576854312595515e-11, 9.878764473114643e-13] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [-1.1533662913620901e-11, -2.6511237649629038e-11, 1.4193313191412926e-11, 3.1223912344557903e-12, 1.0731415756026763e-10, -1.1573875191572824e-10, 1.1890199935749024e-10, 9.452683080724e-11, -2.5695889860344323e-11, -4.966993483179749e-11, 2.94417823454296e-11, 1.1952661083114435e-12, 2.1014967543919738e-10, -2.208572214001947e-10, 2.345603711262356e-10, 1.9751400515133355e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-2.5690560789826122e-12, -5.0926152184160856e-11, 5.3377302577928276e-11, -8.052325473073552e-11, 1.024802465110497e-11, 3.9113157157544265e-11, -4.1909919978877497e-11, -1.9524049044150615e-11, -3.91808807620464e-12, -1.011651873383812e-10, 1.0242806602889232e-10, -1.572862950993681e-10, 2.5270230352703038e-11, 7.276890201524111e-11, -8.297407205759555e-11, -3.512634627611533e-11] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [-1.3441037172157166e-10, -9.659606448053637e-12, -7.706735249968233e-11, -2.210017724380009e-10, -1.4484791144298015e-10, -3.360445255395916e-11, -4.769551420480411e-11, 1.5067835867910162e-10, -2.7042657002596115e-10, -2.2287505174745093e-11, -1.483403400115435e-10, -4.298476019570785e-10, -2.871493043343776e-10, -5.776945588564786e-11, -9.565315206572222e-11, 3.002769144444528e-10, 1.219691014853197e-12] QuasiNewtonMethods.optimum(state) .- 1 = [8.735057122066792e-11, -2.727484904596622e-12, -1.7454881984235726e-10, 1.2578493802095636e-10, 1.9450663302222893e-11, 4.623634808353927e-11, 3.1785019061203457e-11, -2.3705482021796342e-12, 1.9458701316921179e-10, 1.270095140171179e-13, -3.482014676592371e-10, 2.477953398027921e-10, 4.159272926074209e-11, 9.884759677447619e-11, 5.4231286128469947e-11, -8.973821685742678e-12, -4.813727194630246e-11] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [-2.414339839162949e-10, -4.1538184003542256e-10, -1.112910874567774e-10, 1.6139800607106736e-10, -1.5199341785177012e-10, 2.5438651185538674e-10, 2.508395713363143e-10, -1.8419910041700405e-10, -2.2900870089159753e-10, -4.981857149033431e-10, -8.256754169266856e-10, -2.152940048461005e-10, 3.389069025416802e-10, -3.1961877589026244e-10, 5.106925993203504e-10, 5.033333749793201e-10, -3.7360559090870993e-10, -4.716986801156509e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-7.660405643150625e-11, 8.91751117393369e-11, -3.0870861422727103e-12, 9.938072587090119e-11, -2.29735896972727e-10, 8.991918321044068e-11, 5.404565683875262e-11, 6.092704118998427e-11, 6.626699189382634e-11, -1.48223322504748e-10, 1.8131229850837371e-10, -7.201461649231078e-12, 1.9802248729661187e-10, -4.6228743055820587e-10, 1.7192713919200742e-10, 1.0225820190612467e-10, 1.160027629509841e-10, 1.399056426265588e-10] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [-4.530176234140981e-11, -6.742384428548576e-12, 4.194200542428916e-12, -2.1324941812395082e-11, 3.755284971873607e-11, -2.7749913478203325e-11, 5.451639140119369e-12, 8.946621221639361e-12, -1.0732525979051388e-11, -9.258827038394202e-11, -1.2933432103068299e-11, 8.685052677037675e-12, -4.3619108325287925e-11, 7.297762394387064e-11, -5.2979620690507545e-11, 8.498979298110498e-12, 1.9769519354895237e-11, -2.1062485089373695e-11, -2.0157209235094342e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-2.439159985101469e-12, -6.550360254209409e-11, -6.359357485052897e-12, -8.70603589220309e-12, 4.929834318545545e-12, 3.2386537895945366e-11, 3.0726532429525832e-12, 9.651168753066486e-12, 4.5488501854151764e-11, -3.841482687505504e-12, -1.3892065275911136e-10, -1.3713807867077321e-11, -2.3513746505443578e-11, 8.936185125207885e-12, 6.553291242994419e-11, 7.0961014841941505e-12, 1.7257972828588208e-11, 8.756351199679102e-11, 2.298827794788849e-12] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [1.0689671370300857e-11, -2.2777113528604787e-11, 1.0880407685931459e-11, 4.8187231982410594e-11, -1.2409517857747687e-11, 7.684941571994841e-11, 4.661160346586257e-12, 4.508615703002761e-12, 1.869548960087286e-11, -6.566414079145488e-12, 1.741828903334408e-11, -4.2413850209754855e-11, 1.6881829267845205e-11, 1.0518186321917256e-10, -2.7764457399825915e-11, 1.5551782084344268e-10, 1.0022205287896213e-11, 8.86046791492845e-12, 3.5213609805850865e-11, -8.908873638802106e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-9.542222567660019e-11, 9.954370661091616e-11, 3.753397592731744e-11, 1.1814993428060916e-11, 8.17468315261749e-11, -3.374633905650626e-11, -7.7973183465474e-12, 5.6742832654776976e-11, -4.533873276812983e-11, 2.602273951879397e-11, -1.9260615324867558e-10, 1.929398862898779e-10, 7.395772883000973e-11, 2.7460256291078622e-11, 1.5776890904817265e-10, -6.60319576795132e-11, -2.271938193132428e-11, 1.1867529181586178e-10, -9.868705852511539e-11, 5.0630832859610564e-11] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [2.4283175470429796e-10, 1.5290235744203073e-10, -2.366947748910775e-10, -1.909705726887978e-11, -1.4195122854943065e-10, 8.561040765187045e-11, 4.4152681510922775e-11, -2.3407897842275815e-10, -2.574754853768013e-10, -6.882250325190853e-11, 4.882010351536792e-10, 3.041933371861205e-10, -4.742206627383894e-10, -3.758471311954281e-11, -2.88129964332029e-10, 1.7233037219455127e-10, 7.827027914686369e-11, -4.727861435682712e-10, -5.127219759870627e-10, -1.302850050066695e-10, 1.362199242294082e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-3.635147738378919e-11, -1.3939849274891003e-11, -1.391116111193469e-10, -8.121936456717549e-11, -1.2650103187183959e-11, -2.8951285813150207e-11, -8.09489142383768e-11, 1.078293010436937e-11, -9.879430606929418e-11, 3.3375524566281456e-12, -8.039457988218146e-11, -2.2935875421126184e-11, -2.8569890897500727e-10, -1.5232026751021976e-10, -2.620903494232607e-11, -7.20103976448172e-11, -1.6140089265093138e-10, 2.1210366796253766e-11, -1.952968897711571e-10, 7.747136265834342e-12, -2.8754776337791554e-14] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [-3.3602343130212375e-11, 8.325229394756661e-11, -5.106715050828825e-11, 1.3553136390953568e-10, -1.5208123649301797e-10, 1.2475043220661064e-10, -1.5469092673470186e-10, 2.5016877458483577e-11, -7.271006019493598e-11, 5.769673627753491e-11, -1.4132750525419624e-10, -5.889044807361188e-11, 1.5417733756351026e-10, -9.241518661440296e-11, 2.680240474006723e-10, -3.0766267311577167e-10, 2.4366797468644563e-10, -3.092012201832972e-10, 5.651168422105002e-11, -1.423100526309895e-10, 1.3126078002301256e-10, -2.9007984903017814e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-2.06495931465156e-11, -1.3322676295501878e-11, -1.276800887239915e-11, 6.513545258712838e-11, -2.8135271890050717e-12, 2.740274673840304e-11, 4.191136326880951e-11, -2.672895238475803e-11, 2.3212542998862773e-12, 3.224553957181797e-11, 2.0517809673492593e-11, -4.170053191643319e-11, -2.5957236360341085e-11, -2.696276535374409e-11, 1.2574408181365015e-10, -7.657319223142167e-12, 5.169598082943594e-11, 8.662870421005664e-11, -5.3740012440073315e-11, 1.84519066692701e-12, 6.406342123455033e-11, 4.3618664236078075e-11] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [5.808198366707984e-11, 5.401523672787789e-11, 6.943001729098341e-11, 1.0806022743281574e-11, 9.96869253810928e-12, 2.958078226811267e-12, 6.719669265464745e-11, 3.895062050673914e-11, -4.152955757064092e-11, 6.260547635861258e-12, -1.3848477919964353e-11, 1.2472289867559994e-10, 1.0713763209935223e-10, 1.3540923937682692e-10, 1.8817836178186553e-11, 1.9446666499334242e-11, 5.629718913269244e-12, 1.4209722287716886e-10, 8.333689294204305e-11, -8.653655569901275e-11, 1.695488194286554e-11, -2.8184676814646537e-11, 5.068834241228615e-12] QuasiNewtonMethods.optimum(state) .- 1 = [2.1023360829985904e-10, 6.641154293163254e-11, 9.791989441509941e-11, -1.4992451724538114e-11, -1.441428088000407e-10, 1.2965251094954056e-10, -2.1974222441656366e-10, 1.1878253936004057e-10, 7.633782495020114e-11, 1.54323220868946e-11, 7.46316342059572e-11, 4.202604930725329e-10, 1.3307843715892886e-10, 1.9472601309189486e-10, -3.069189347115753e-11, -2.8498758908312993e-10, 2.583291358604356e-10, -4.2986048054416415e-10, 2.295916790018282e-10, 1.5356182991865808e-10, 3.386690927698055e-11, 1.5130696695564438e-10, 9.014788915351346e-12] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [9.214207175034517e-11, -9.01957397658748e-11, -2.2655000098126266e-10, 1.22169607763567e-10, -2.7077229347582943e-11, 4.806444131588705e-11, 8.31865687445088e-11, 9.629363972862848e-11, 2.134585841417902e-10, 9.265255229706781e-11, -2.4756208194531837e-10, 1.7377943528629203e-10, 1.75796488477431e-10, -1.851931941132534e-10, -4.59486670933984e-10, 2.4479396287802047e-10, -6.417155695714882e-11, 9.364842235015658e-11, 1.4877521437028918e-10, 1.844231434233734e-10, 4.1565706432322713e-10, 1.8641088672666228e-10, -4.806886000352506e-10, 3.334434950374998e-10] QuasiNewtonMethods.optimum(state) .- 1 = [1.9260149031197216e-11, -3.1321611970724916e-12, -6.190292722862978e-11, -1.3053969016851852e-10, -7.288836201269078e-12, 2.7028823623709286e-11, -1.4229062372805856e-11, 5.1036508352808596e-11, 3.7546410425193244e-11, -6.608491531778782e-12, -8.575995469328745e-11, -1.5876622239119342e-10, 4.1870951150713154e-11, -1.3266165943548458e-11, -1.327344900659e-10, -2.592810410817492e-10, -1.0857981180834031e-11, 5.749578591007776e-11, -3.2406299865783694e-11, 1.1074208217110026e-10, 7.301492743749805e-11, -1.484978806587378e-11, -1.6900336685665707e-10, -3.262131675896285e-10] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 3m56.7s Method ambiguity | 1 1 9.8s 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 6.9s Compat bounds | 3 1 4 11.5s julia | 1 1 0.1s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") deps | 1 1 0.5s 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 0.2s Persistent tasks | 1 1 40.6s Undocumented names | 0 0.0s RNG of the outermost testset: Random.Xoshiro(0xd992f4b29e1faca5, 0x4699357f3e195227, 0x16df0ce267d563f1, 0x8d25f0ad207c25d4, 0xfbc36a5842fb9f9b) 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 260.1s 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 496.09s: package has test failures