Package evaluation of QuasiNewtonMethods on Julia 1.13.0-DEV.692 (1ea959a8b1*) started at 2025-06-03T16:59:07.365 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.32s ################################################################################ # 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 To see why use `status --outdated -m` Installation completed after 3.62s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 218.68s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_S85s1k/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_S85s1k/Manifest.toml` [79e6a3ab] Adapt v4.3.0 [4c88cf16] Aqua v0.8.13 [4fba245c] ArrayInterface v7.19.0 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [2a0fbf3d] CPUSummary v0.2.6 [fb6a15b2] CloseOpenIntervals v0.1.13 [34da2185] Compat v4.16.0 [adafc99b] CpuId v0.3.1 [ffbed154] DocStringExtensions v0.9.4 [3e5b6fbb] HostCPUFeatures v0.1.17 [615f187c] IfElse v0.1.1 [10f19ff3] LayoutPointers v0.1.17 [bdcacae8] LoopVectorization v0.12.172 [d125e4d3] ManualMemory v0.1.8 [6fd5a793] Octavian v0.3.28 [6fe1bfb0] OffsetArrays v1.17.0 [1d0040c9] PolyesterWeave v0.2.2 [aea7be01] PrecompileTools v1.3.2 [21216c6a] Preferences v1.4.3 [64452400] QuasiNewtonMethods v0.1.4 [ae029012] Requires v1.3.1 [94e857df] SIMDTypes v0.1.0 [476501e8] SLEEFPirates v0.6.43 ⌅ [aedffcd0] Static v0.8.10 [0d7ed370] StaticArrayInterface v1.8.0 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [d1fa6d79] StrideArrays v0.1.29 ⌅ [7792a7ef] StrideArraysCore v0.4.17 [8290d209] ThreadingUtilities v0.5.4 [3a884ed6] UnPack v1.0.2 [3d5dd08c] VectorizationBase v0.21.71 [33b4df10] VectorizedRNG v0.2.25 [3b853605] VectorizedStatistics v0.5.10 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.12.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.13.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [f489334b] StyledStrings v1.11.0 [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.12.1+1 [e37daf67] LibGit2_jll v1.9.0+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.5.20 [4536629a] OpenBLAS_jll v0.3.29+0 [458c3c95] OpenSSL_jll v3.5.0+0 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.12.0+0 [8e850ede] nghttp2_jll v1.65.0+0 [3f19e933] p7zip_jll v17.5.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in initialize_task(Any) at /home/pkgeval/.julia/packages/ThreadingUtilities/AsFET/src/ThreadingUtilities.jl WARNING: Method definition boundscheck() in module StrideArraysCore at /home/pkgeval/.julia/packages/StrideArraysCore/COJRJ/src/ptr_array.jl:897 overwritten at /home/pkgeval/.julia/packages/StrideArraysCore/COJRJ/src/StrideArraysCore.jl:75. WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in __vstore!(Ptr{T}, VT, I, A, S, NT, Static.StaticInt{RS}) where {T<:Union{Bool, Float16, Float32, Float64, Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8}, VT<:Union{Bool, Float16, Float32, Float64, Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, SIMDTypes.Bit}, I<:Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N, VectorizationBase.LazyMulAdd{var"#s77", var"#s76", var"#s75"} where var"#s75"<:Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N} where var"#s76" where var"#s77", VectorizationBase.LazyMulAdd{var"#s77", var"#s76", var"#s75"} where var"#s75"<:Union{VectorizationBase.MM{W, X, I} where I<:Union{Float16, Float32, Float64, Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N} where X, VectorizationBase.Unroll{var"#s77", var"#s76", var"#s75", var"#s41", W, M, X, I} where I where X where M where var"#s41" where var"#s75" where var"#s76" where var"#s77", VectorizationBase.Vec{W, T} where T} where var"#s76" where var"#s77" where W, VectorizationBase.MM{W, X, I} where I<:Union{Float16, Float32, Float64, Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N} where X where W, VectorizationBase.Unroll{var"#s77", var"#s76", var"#s75", var"#s41", W, M, X, I} where I where X where M where var"#s41" where var"#s75" where var"#s76" where var"#s77" where W, VectorizationBase.Vec{W, T} where T where W}, A<:(Static.StaticBool{bool} where bool), S<:(Static.StaticBool{bool} where bool), NT<:(Static.StaticBool{bool} where bool), RS} at /home/pkgeval/.julia/packages/VectorizationBase/wHnQd/src/llvm_intrin/memory_addr.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in __vstore!(Ptr{T}, VT, A, S, NT, Static.StaticInt{RS}) where {T<:Union{Bool, Float16, Float32, Float64, Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8}, VT<:Union{Bool, Float16, Float32, Float64, Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, SIMDTypes.Bit}, A<:(Static.StaticBool{bool} where bool), S<:(Static.StaticBool{bool} where bool), NT<:(Static.StaticBool{bool} where bool), RS} at /home/pkgeval/.julia/packages/VectorizationBase/wHnQd/src/llvm_intrin/memory_addr.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in initialize_task(Any) at /home/pkgeval/.julia/packages/ThreadingUtilities/AsFET/src/ThreadingUtilities.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in initialize_task(Any) at /home/pkgeval/.julia/packages/ThreadingUtilities/AsFET/src/ThreadingUtilities.jl Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") does not declare a compat entry for the following extras: 1-element Vector{Base.PkgId}: Test [8dfed614-e22c-5e08-85e1-65c5234f0b40] Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") extras: Test Failed at /home/pkgeval/.julia/packages/Aqua/1UuaV/src/deps_compat.jl:60 Expression: isempty(result) Evaluated: isempty(Base.PkgId[Base.PkgId(Base.UUID("8dfed614-e22c-5e08-85e1-65c5234f0b40"), "Test")]) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:730 [inlined] [2] test_deps_compat(pkg::Base.PkgId, deps_type::String; broken::Bool, kwargs::@Kwargs{}) @ Aqua ~/.julia/packages/Aqua/1UuaV/src/deps_compat.jl:60 [3] test_deps_compat @ ~/.julia/packages/Aqua/1UuaV/src/deps_compat.jl:55 [inlined] [4] macro expansion @ ~/.julia/packages/Aqua/1UuaV/src/deps_compat.jl:45 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1833 [inlined] [6] test_deps_compat(pkg::Base.PkgId; check_julia::Bool, check_extras::Bool, check_weakdeps::Bool, kwargs::@Kwargs{}) @ Aqua ~/.julia/packages/Aqua/1UuaV/src/deps_compat.jl:45 n = 2 WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in randn!(VectorizedRNG.AbstractVRNG{N} where N, AbstractArray{T, N} where N, Number, Any, Any) where {T<:Union{Float32, Float64}} at /home/pkgeval/.julia/packages/VectorizedRNG/2TXSb/src/api.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in optimize!(Any, Any, StrideArraysCore.AbstractStrideArray{T, N, R, S, X, O} where O<:Tuple{Vararg{Union{Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where X<:Tuple{Vararg{Union{Nothing, Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N, StrideArraysCore.StrideReset{T} where T}, N}} where S<:Tuple{Vararg{Union{Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where R where N, Any, Any) where {T} at /home/pkgeval/.julia/packages/QuasiNewtonMethods/Pnhdf/src/QuasiNewtonMethods.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in update_state!(Any, Any, Any) at /home/pkgeval/.julia/packages/QuasiNewtonMethods/Pnhdf/src/QuasiNewtonMethods.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in step!(Any, Any, Any, Any, Any) at /home/pkgeval/.julia/packages/QuasiNewtonMethods/Pnhdf/src/QuasiNewtonMethods.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in initial_B⁻¹!(AbstractArray{T, 2} where T) at /home/pkgeval/.julia/packages/QuasiNewtonMethods/Pnhdf/src/QuasiNewtonMethods.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in BFGS_update!(AbstractArray{T, 2}, Any, Any, Any, Any, Any) where {T} at /home/pkgeval/.julia/packages/QuasiNewtonMethods/Pnhdf/src/QuasiNewtonMethods.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in materialize(Base.Broadcast.Broadcasted{S, Axes, F, Args} where Args<:Tuple where F where Axes) where {S<:(StrideArrays.AbstractStrideStyle{S, N} where N where S)} at /home/pkgeval/.julia/packages/StrideArrays/tZEoU/src/broadcast.jl QuasiNewtonMethods.optimum(state) .- 1 = [-4.443445611457264e-12, -8.202105661325731e-12] 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 = [8.777423232686488e-13, 1.354472090042691e-14] 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 = [-1.2056056153397776e-10, -2.498485862645339e-10, 9.233236397676592e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.2675194227540487e-11, 3.1306068848380164e-11, 8.815170815523743e-14] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [1.859266074433208e-10, 2.5888646781879743e-10, 3.797040459829759e-10, 5.090985411015936e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-3.587974362062596e-11, -5.043598871878885e-11, -6.616129866188203e-11, -1.0079459489276132e-10] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [3.24172466648065e-10, 1.922044745583662e-10, 6.639688798770749e-10, 4.087250538020726e-10, 1.2088752221472987e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-1.685287465136298e-10, -9.306899695360471e-11, -3.327691455723425e-10, -1.855700038078112e-10, -1.0028211594459435e-10] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [5.831779503751022e-12, 2.1133517158489212e-10, 2.142330757237687e-11, 1.9448220811568717e-11, 4.347260329495839e-10, 4.072298054325074e-11] QuasiNewtonMethods.optimum(state) .- 1 = [7.70072894340501e-12, -2.5938806658132307e-11, -9.18087827983527e-12, 1.527422632818798e-11, -5.0221271585826344e-11, -1.7500445537166343e-11] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [-4.3128722815310994e-11, -2.1158186314096383e-11, 5.946132475287413e-11, -9.056588812228483e-11, -4.0345282670273264e-11, 1.1772915975427622e-10, -5.936584557275637e-12] QuasiNewtonMethods.optimum(state) .- 1 = [9.314993221209988e-12, 1.1828982238171193e-11, -2.8227420401094605e-12, 1.808775351719305e-11, 2.354960670913897e-11, -6.161959831274544e-12, -3.7274627828765006e-12] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [-7.151057523913096e-12, 2.072031435318422e-11, -1.4009238213930075e-11, -3.591027475380315e-11, -1.6692869309054004e-11, 4.1243897186404865e-11, -3.186861885495773e-11, -7.337896956727263e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-4.648392781803068e-12, 1.0033307518142465e-11, -4.2828185442544964e-11, 1.1384226894506355e-12, -6.580069822348378e-12, 2.295386103412511e-11, -8.717149224679588e-11, 3.2152058793144533e-13] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [-2.0811019574296097e-11, 1.4423129357510334e-11, 8.516520821899576e-12, 1.7212675729183502e-11, -4.033195999397776e-11, 2.8171021071443647e-11, 1.500288782096959e-11, 3.5460745451132425e-11, 1.7950307906744456e-11] QuasiNewtonMethods.optimum(state) .- 1 = [4.2868819605246244e-11, 2.80251377660079e-11, -3.99610344814505e-11, 3.552180771748681e-11, 9.23694454257884e-11, 5.438161032600419e-11, -7.191613971002653e-11, 7.968758986010016e-11, 1.5258905250448151e-12] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [-1.2887357847546355e-11, 4.949374243778948e-13, -1.3970047341160807e-11, -2.9054092465230497e-11, 4.958966570711709e-11, -2.6451507650904205e-11, -1.759259404821023e-12, -3.185052221965634e-11, -6.692135734454041e-11, 9.804868028595592e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-7.23643367450677e-11, 3.88393761596717e-11, -1.9013013385915656e-11, -6.323097601068639e-11, 4.856537394459792e-11, -1.470957800009387e-10, 7.857892114770948e-11, -3.809386139863591e-11, -1.2766010470954825e-10, 9.818279522733064e-11] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [1.3469003690147474e-11, 1.3732792680798411e-11, -4.010103360485573e-11, 2.8254287798290534e-11, -3.1394775668047714e-11, 2.709965585268037e-11, 2.775935037391264e-11, -7.918610211987698e-11, 5.540945480220216e-11, -6.589917500576803e-11, 3.490763234026417e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-4.2125192223352315e-12, -3.053224340021643e-12, 9.623857266660707e-12, -2.1291968188563715e-11, 6.174838418360196e-12, -7.881029162604136e-12, -4.885647442165464e-12, 1.9197976541818207e-11, -4.354150373586663e-11, 1.1509015962474223e-11, 1.1390888232654106e-13] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [5.3685722534169145e-11, -1.8187118477897002e-11, -1.0718015364119537e-10, -4.956657306820489e-11, 8.298028930653345e-12, -6.111333661351637e-12, 1.2060263898661105e-10, -2.6106006245640856e-11, -2.1535884187073862e-10, -8.42057534811147e-11, 2.567013268617302e-11, -3.084288380250655e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-6.267875107823784e-12, -2.2603918736763262e-11, 1.6264545266153618e-11, -2.165012613630779e-11, -1.167133056867442e-11, -2.951716648880165e-11, -1.2481016220533547e-11, -4.5609849230743293e-11, 3.182543117929981e-11, -4.1706860187673556e-11, -2.4665602893492178e-11, -6.019362785991689e-11] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [9.224687680386978e-11, -7.09077241367595e-12, 1.3095990958333914e-10, 2.769318108164498e-11, 1.4258527691879408e-10, 1.1604495142591986e-11, 1.946607319780469e-10, -2.346922656215611e-11, 2.496785000971613e-10, 5.027311900107634e-11, 2.78859380031804e-10, 9.540812584418745e-12, 2.8199664825478976e-14] QuasiNewtonMethods.optimum(state) .- 1 = [3.771538636954119e-11, 1.071187583079336e-11, -3.0227487179956825e-11, -2.0989210369748434e-11, 2.8430813259205934e-11, -8.522071937022702e-12, 7.582356964519477e-11, 2.0324630867207816e-11, -6.1474270118822e-11, -4.25695034778073e-11, 6.042899514113742e-11, -1.783528880139329e-11, -2.1315726961290693e-11] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [5.6501470169223467e-11, 2.7498447963125727e-11, -4.6356696259408636e-11, -5.6711968454692396e-11, 2.971800583395634e-11, -7.260181345003502e-11, -1.7103873872770237e-11, 1.0135403627486994e-10, 4.9965809267860095e-11, -9.373024578707145e-11, -1.1204304151135602e-10, 5.270228697895618e-11, -1.452381548361359e-10, -3.204592147199037e-11] QuasiNewtonMethods.optimum(state) .- 1 = [7.097078480455821e-11, -2.0284995905228698e-11, -9.037215420448774e-12, -1.4069634346469684e-11, 8.088885117274458e-11, 8.793188399636165e-12, -7.997069673137958e-11, 1.438789087870873e-10, -4.2561176805122614e-11, -2.7974067506875144e-11, -2.9133029322281345e-11, 1.5873680148104086e-10, 2.7561952720134286e-11, -1.5038614797902028e-10] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [2.9072078078229424e-11, 3.594413655605422e-11, -7.194578266478402e-12, 6.738409830120418e-11, 2.1588508758441094e-11, 7.248557309935677e-11, -2.4074076065971894e-11, 6.820166653653814e-11, 6.672085106629311e-11, -1.2164935725422765e-11, 1.3653012054248848e-10, 4.846190115870286e-11, 1.4147438776035415e-10, -3.5790925778655946e-11, 2.171596236166806e-12] QuasiNewtonMethods.optimum(state) .- 1 = [2.433608869978343e-12, -9.079736962291918e-12, -4.880540416252188e-12, -1.2107648217352107e-11, -1.325828336007362e-12, 1.3884449145962208e-12, -9.847012094610363e-12, 5.168532268839954e-12, -1.9597323763775876e-11, -9.437228776221218e-12, -2.502809071103229e-11, -3.1874503036988244e-12, 3.530509218307998e-12, -1.9623858094064417e-11, 5.160316618457728e-13] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [1.752109568542437e-11, 1.2392975534680772e-11, 2.2708945834892802e-11, 1.701527807540515e-12, -3.332223386109945e-12, 1.334965471500027e-10, -6.035927313519096e-11, -6.933564833389028e-11, 3.7064573632505926e-11, 2.6221247395596947e-11, 4.531397479468069e-11, 7.400302592941443e-12, -9.353962049374331e-12, 2.657256636950933e-10, -1.2289502748785708e-10, -1.394673265764368e-10] QuasiNewtonMethods.optimum(state) .- 1 = [6.66577903984944e-13, -3.162359263342296e-12, -1.0983214338011749e-11, 1.3020917677408761e-11, -1.726729870199506e-12, -1.9340307133575152e-11, -1.3063994330764217e-11, 2.467803739136798e-12, 4.658495811327157e-13, -6.901368365674898e-12, -2.234212814755665e-11, 2.9026114845009943e-11, -1.7774670624248756e-12, -3.9168335241868135e-11, -2.3573587526470874e-11, 5.8972826622039065e-12] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [-5.5330962034361164e-11, -1.2114786951400447e-10, 5.1770809861295675e-11, -1.9505952408849225e-11, 3.051714436708153e-11, -1.448607900300658e-11, 4.039990564308482e-11, 1.1017853296380054e-12, -1.0591238996937591e-10, -2.3036217378091806e-10, 1.1230549823437741e-10, -3.176181539998879e-11, 5.746803033446213e-11, -2.3771318247156614e-11, 8.787570671131562e-11, -5.821676474226933e-12, -7.672196211672144e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-5.240696765440589e-12, -2.3801405291123956e-11, 7.217870745535038e-11, 2.2015722578316854e-11, 1.981326214206547e-11, -6.221145820717311e-11, -6.05587802127161e-11, -2.541289401136737e-11, -1.3945733456921516e-11, -3.925515468239382e-11, 1.3605117032966518e-10, 4.352318505596031e-11, 3.080313781822497e-11, -1.2649570280132139e-10, -1.17920895270629e-10, -5.383427037486399e-11, 1.0471623568264476e-12] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [1.9841461806890948e-11, 4.949374243778948e-13, 1.3871126469666706e-12, -1.2912448887902883e-11, -2.1302182240390266e-11, 1.7083889858326984e-11, -1.7390755502333377e-11, -8.214540159201533e-13, 1.9481305457702547e-11, 4.188538405003328e-11, 1.6575629757653587e-12, 4.5998760356269486e-12, -2.6587509971420786e-11, -4.477374027089809e-11, 3.470757015122672e-11, -3.7600811353399877e-11, -1.6820989046095747e-12, 4.1713965615031157e-11] QuasiNewtonMethods.optimum(state) .- 1 = [9.182721250056147e-11, 1.1230971708187099e-10, 2.108808683232155e-10, -2.2284407652506388e-10, 4.078060111822879e-10, -7.270244406498705e-10, -3.5586833480039104e-10, 6.278633168932402e-10, -2.1079238354815288e-10, 1.7658075002202622e-10, 2.2526358556262949e-10, 4.327178615426419e-10, -4.448827972680647e-10, 8.210276902786973e-10, -1.4799921288499718e-9, -6.924947282271887e-10, 1.2561931495014278e-9, -4.448093005038345e-10] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [4.5532688730531845e-11, -3.5883518378909685e-12, -1.4661605263199817e-12, -4.7665094093929383e-11, -8.408496121603548e-12, -3.348432642269472e-12, 2.2294166512892843e-11, -1.0591150179095621e-10, -3.229450040720394e-11, 8.948197738334329e-11, -9.072742557236779e-13, -2.862488024391041e-12, -9.612488582888545e-11, -1.1069256622420198e-11, -9.004130774314945e-12, 4.710587475642569e-11, -2.1502455371802398e-10, -6.126454898947031e-11, 2.0621726548597508e-11] QuasiNewtonMethods.optimum(state) .- 1 = [4.588240898328877e-11, 8.272693641231399e-11, 2.4314994462315553e-11, 8.86917206344151e-11, 1.5315815282690437e-10, 2.7906654764819905e-10, 6.303779720440161e-11, 1.0226242075361824e-10, 1.0260592375743727e-10, 8.820344454818496e-11, 1.5686696386296717e-10, 6.53910259273971e-11, 1.7967716203770578e-10, 2.929825271280606e-10, 5.724467566636804e-10, 1.4364331946126185e-10, 2.131401721783277e-10, 1.895654744288322e-10, -5.810574243980682e-12] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [6.700862087427595e-12, -9.224843111610426e-12, -3.7275849074092093e-11, 3.317346397579968e-11, 2.621125538837532e-11, -2.0362600494649996e-11, -2.5052848684481432e-11, -1.3899215112189722e-11, -9.643730258801497e-12, 5.5779825203217115e-12, 9.792389121798806e-12, -2.0091928121246383e-11, -7.91765542018652e-11, 7.101430554712351e-11, 4.808864417782388e-11, -4.077538307001305e-11, -4.765965400110872e-11, -2.2543078515013804e-11, -1.8151924408016384e-11, 1.1042944336736582e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.6032264404941543e-10, -8.153155928170008e-11, -8.262102113576475e-11, -5.286560078587854e-11, -4.096523120722395e-11, 6.68671784609387e-11, 2.013944566670034e-11, -1.1816592149216376e-10, -3.4284131089634684e-11, -7.54633022737039e-11, 3.2571212393861515e-10, -1.458121401398671e-10, -1.6763523902341149e-10, -1.0361311808537721e-10, -8.8924534402679e-11, 1.3166245871332194e-10, 4.118572149991451e-11, -2.3916502112086846e-10, -6.569289556779268e-11, -1.6356094256764209e-10] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [-5.027100957732955e-11, -6.127753859885843e-11, 1.5040124701215518e-10, -9.854050908586487e-11, 4.528577512985521e-11, 8.827250042031665e-11, 1.1797718357797748e-10, -4.4758197148553336e-11, 7.978218086179822e-11, -1.4699486072800028e-10, -1.0045975162853438e-10, -1.1654932574600707e-10, 3.0704194742270374e-10, -2.008823107857438e-10, 9.624101515726124e-11, 1.9108448157112434e-10, 2.2712276503966677e-10, -8.758205272130226e-11, 1.5142753717611868e-10, -3.113538316057429e-10, -1.0886958001776748e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.361512014241839e-10, -6.078781922269627e-11, 9.658718269633937e-12, -3.44031469978745e-11, -4.4999559634106845e-12, -4.851985480058829e-11, -6.445621814066271e-11, 3.166067408244544e-11, 4.8580028888522975e-11, 1.6911738676128607e-10, -2.56235366258295e-10, -1.085114220700234e-10, 1.770650293053677e-11, -8.020684116871735e-11, -1.1632694807417465e-11, -9.781753185222897e-11, -1.29922184122222e-10, 5.327205343519381e-11, 1.0097456204505306e-10, 3.315678842596981e-10, -1.2966738793807053e-11] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [3.5148950416896696e-10, 3.8258285428582894e-12, -6.153721976431825e-11, 4.355982241577294e-11, -2.1450219378493784e-10, -6.754818926424377e-11, -6.907252547705411e-11, 5.171019168415114e-11, 1.9421775299122146e-10, -8.167178044971024e-11, 1.613913447329196e-10, 6.86291912188608e-10, 1.549627093311301e-11, -1.2578882380154255e-10, 8.217493352447036e-11, -4.3621217749034713e-10, -1.2522183290286648e-10, -1.3752154970347874e-10, 1.0070122513639035e-10, 3.9334491219733536e-10, -1.6477386122204507e-10, 3.221252153906562e-10] QuasiNewtonMethods.optimum(state) .- 1 = [2.592897008213413e-10, -9.432976622036904e-11, 1.698441387532057e-11, -1.224738088723143e-10, -1.0771661340669425e-10, -2.684408251241166e-11, -2.3603619059286984e-10, 7.154166148382046e-11, 2.5311530649219094e-11, -1.368238855548043e-12, -1.6862844454124115e-11, 5.284994664123133e-10, -1.9083690183663293e-10, 3.7757796889081874e-11, -2.544791044556405e-10, -2.097529927524988e-10, -4.026090572040175e-11, -4.5876236143271854e-10, 1.4068879394812939e-10, 4.3334003052564185e-11, -3.40438788271058e-12, -4.1501135861210514e-11] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [4.211697657297009e-11, -7.567313442535806e-11, 1.0420708740355167e-10, 5.290656801548721e-11, 2.1851187526067406e-11, -1.0379452852760096e-10, 1.794946413724574e-10, -8.235523374366949e-12, 1.7102097515930836e-11, 5.991651619297045e-12, -4.945543974343991e-11, 8.382361471603872e-11, -1.4836099015980153e-10, 2.050943859188692e-10, 1.0706524555814667e-10, 4.299982592215201e-11, -2.0845114523382335e-10, 3.689906158399481e-10, -1.8868684392714385e-11, 3.080891097795302e-11, 1.1932899113276108e-11, -8.909450954774911e-11, 3.113953539468639e-12] QuasiNewtonMethods.optimum(state) .- 1 = [1.047519848640377e-10, -4.344336002048976e-11, 3.5953240384856144e-11, 9.726219829531146e-12, -2.5085489241405412e-12, -2.075162264247865e-11, 1.2577050512163623e-11, -4.036493361780913e-11, -5.282618786850435e-11, -2.125122300355997e-11, 1.0448308884747348e-11, 2.071836036066088e-10, -8.81159589738445e-11, 7.445533078964672e-11, 2.3467228160711784e-11, -7.800204926411425e-12, -3.2991054332853764e-11, 2.525224473970411e-11, -7.83537679183155e-11, -1.0939127381703884e-10, -4.276223819488223e-11, 2.0517809673492593e-11, -1.1226575225009583e-12] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [-9.25969301235341e-11, -6.982858735682385e-11, -1.6236012534420752e-11, 3.2224889423559944e-11, 7.860894157829534e-10, -1.9330026468367123e-10, -1.5067436187621297e-10, -9.72336655635786e-11, -2.0465695804716688e-10, -3.7781666684111315e-11, -8.052503108757492e-11, -5.087825716287853e-10, -1.94367189010336e-10, -1.4305057138841448e-10, -3.752509414312044e-11, 5.802691660505843e-11, 1.5710213130404327e-9, -3.8970271454275007e-10, -3.0589308863682163e-10, -1.8665380352445027e-10, -4.1594605537653706e-10, -7.45602468654738e-11, -1.7634993465520665e-10, -1.020552531372232e-9] QuasiNewtonMethods.optimum(state) .- 1 = [-1.9339640999760377e-11, -2.3975599283687643e-11, -1.9182988530985767e-11, 5.142553050063725e-12, -3.480060684069031e-11, -4.009803600268924e-11, 2.911382246395533e-11, -1.033317875709372e-11, -1.859834508621816e-11, -5.862310636928214e-12, -7.146283564907208e-12, -3.688171990035016e-11, -3.594602393519608e-11, -4.622935367848413e-11, -3.621070110426672e-11, 1.060596055424412e-11, -7.169864701950246e-11, -8.240952364957366e-11, 5.807132552604344e-11, -2.0934587396936877e-11, -3.96275234848531e-11, -8.643641358219156e-12, -1.3811174426336947e-11, -7.258837975143706e-11] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 4m22.7s Method ambiguity | 1 1 10.8s Unbound type parameters | 1 1 0.2s Undefined exports | 1 1 0.0s Compare Project.toml and test/Project.toml | 1 1 0.4s Stale dependencies | 1 1 8.1s Compat bounds | 3 1 4 12.4s julia | 1 1 0.1s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") deps | 1 1 0.6s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") extras | 1 1 11.6s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") weakdeps | 1 1 0.0s Piracy | 1 1 0.2s Persistent tasks | 1 1 46.9s RNG of the outermost testset: Random.Xoshiro(0xd41c8532ab9f9437, 0x720d689253773b27, 0x3c9d017f5b0f3aea, 0x5a15cba9c511ac14, 0xcfee580ad0cd20ca) 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 293.64s 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 546.26s: package has test failures