Package evaluation of QuasiNewtonMethods on Julia 1.12.0-DEV.1805 (a080deafdd*) started at 2025-03-24T16:52:22.826 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.13s ################################################################################ # Installation # Installing QuasiNewtonMethods... Resolving package versions... Updating `~/.julia/environments/v1.12/Project.toml` [64452400] + QuasiNewtonMethods v0.1.4 Updating `~/.julia/environments/v1.12/Manifest.toml` [79e6a3ab] + Adapt v4.3.0 [4fba245c] + ArrayInterface v7.18.0 [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 v0.9.3 [3e5b6fbb] + HostCPUFeatures v0.1.17 [615f187c] + IfElse v0.1.1 [10f19ff3] + LayoutPointers v0.1.17 [bdcacae8] + LoopVectorization v0.12.171 [d125e4d3] + ManualMemory v0.1.8 [6fe1bfb0] + OffsetArrays v1.16.0 [1d0040c9] + PolyesterWeave v0.2.2 [aea7be01] + PrecompileTools v1.2.1 [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 v0.5.2 [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 [dc6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.11.0 [d6f4376e] + Markdown v1.11.0 [ca575930] + NetworkOptions v1.2.0 [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 v1.2.0+0 [e37daf67] + LibGit2_jll v1.8.0+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.6+1 [4536629a] + OpenBLAS_jll v0.3.28+3 [8e850b90] + libblastrampoline_jll v5.11.2+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 To see why use `status --outdated -m` Installation completed after 1.94s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 230.39s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_TvVEam/Project.toml` [4c88cf16] Aqua v0.8.11 [64452400] QuasiNewtonMethods v0.1.4 [d1fa6d79] StrideArrays v0.1.29 [8dfed614] Test v1.11.0 Status `/tmp/jl_TvVEam/Manifest.toml` [79e6a3ab] Adapt v4.3.0 [4c88cf16] Aqua v0.8.11 [4fba245c] ArrayInterface v7.18.0 [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 v0.9.3 [3e5b6fbb] HostCPUFeatures v0.1.17 [615f187c] IfElse v0.1.1 [10f19ff3] LayoutPointers v0.1.17 [bdcacae8] LoopVectorization v0.12.171 [d125e4d3] ManualMemory v0.1.8 [6fd5a793] Octavian v0.3.28 [6fe1bfb0] OffsetArrays v1.16.0 [1d0040c9] PolyesterWeave v0.2.2 [aea7be01] PrecompileTools v1.2.1 [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 v0.5.2 [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 v1.6.0 [7b1f6079] FileWatching v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [dc6e5ff7] JuliaSyntaxHighlighting v1.12.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.11.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [ca575930] NetworkOptions v1.2.0 [44cfe95a] Pkg v1.12.0 [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 v1.2.0+0 [deac9b47] LibCURL_jll v8.6.0+0 [e37daf67] LibGit2_jll v1.8.0+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.6+1 [14a3606d] MozillaCACerts_jll v2024.11.26 [4536629a] OpenBLAS_jll v0.3.28+3 [83775a58] Zlib_jll v1.3.1+1 [8e850b90] libblastrampoline_jll v5.11.2+0 [8e850ede] nghttp2_jll v1.63.0+1 [3f19e933] p7zip_jll v17.5.0+1 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... WARNING: Method definition boundscheck() in module StrideArraysCore at /home/pkgeval/.julia/packages/StrideArraysCore/COJRJ/src/ptr_array.jl:897 overwritten at /home/pkgeval/.julia/packages/StrideArraysCore/COJRJ/src/StrideArraysCore.jl:75. WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in __init() at /home/pkgeval/.julia/packages/VectorizedRNG/2TXSb/src/VectorizedRNG.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in initXoshiro!(Ptr{UInt64}, Any, UInt64, UInt64, UInt64, UInt64) at /home/pkgeval/.julia/packages/VectorizedRNG/2TXSb/src/xoshiro.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in vstoreu!(Ptr{T} where T, Any, Any) at /home/pkgeval/.julia/packages/VectorizedRNG/2TXSb/src/VectorizedRNG.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in vstoreu!(Ptr{T} where T, Any) at /home/pkgeval/.julia/packages/VectorizedRNG/2TXSb/src/VectorizedRNG.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/epbUr/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/v1.12/Test/src/Test.jl:679 [inlined] [2] test_deps_compat(pkg::Base.PkgId, deps_type::String; broken::Bool, kwargs::@Kwargs{}) @ Aqua ~/.julia/packages/Aqua/epbUr/src/deps_compat.jl:60 [3] test_deps_compat @ ~/.julia/packages/Aqua/epbUr/src/deps_compat.jl:55 [inlined] [4] macro expansion @ ~/.julia/packages/Aqua/epbUr/src/deps_compat.jl:45 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1724 [inlined] [6] test_deps_compat(pkg::Base.PkgId; check_julia::Bool, check_extras::Bool, check_weakdeps::Bool, kwargs::@Kwargs{}) @ Aqua ~/.julia/packages/Aqua/epbUr/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 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 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 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 = [5.42177858164905e-10, 1.0931535676661497e-9] 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 = [7.85338460929097e-11, 1.6452306184078225e-10] 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 = [1.4284795568642039e-11, 2.913114194313948e-11, -9.769962616701378e-15] QuasiNewtonMethods.optimum(state) .- 1 = [1.2366774271299619e-11, 2.7307711647495125e-11, -2.4139024112912466e-11] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [-5.772493594236039e-12, -3.361533273960049e-12, -1.2451040198868668e-11, -6.232125926430854e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-7.59857732290925e-11, -6.685574316378506e-11, -1.4750101140492689e-10, -1.3794143605139197e-10] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [-3.4563463202630373e-12, 2.6412205755832474e-12, -6.661449170053402e-12, 5.2660098504020425e-12, 2.90745205688836e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-3.0292435226897396e-12, 1.2899015189304919e-11, -4.802380715318577e-12, 2.8656854667019616e-11, 5.9756644077424426e-12] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [9.495315644869606e-11, -5.5810245314091844e-11, 3.8182346173698534e-11, 1.8499646259328983e-10, -1.1510226105571064e-10, 7.416911529389836e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-3.653632951738928e-12, 4.5847770024920464e-12, -6.1810556672980965e-12, -7.60269625033061e-12, 9.559242286627523e-12, -1.1568634938896594e-11] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [-1.6240453426519252e-11, -1.7449930389545898e-11, -1.1291967361160005e-11, -3.1066038630456205e-11, -3.570865825253122e-11, -2.1788015835966235e-11, -8.912204307875982e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-7.019052006285165e-12, -1.4226175792941831e-11, -3.143263427318743e-12, -1.264532922817807e-11, -2.7771895894090903e-11, -5.879741138414829e-12, 9.261480471423056e-13] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [-6.923894790844543e-11, -9.001155376608949e-11, 7.656297817959512e-11, -6.943512431689669e-11, -1.319184761428005e-10, -1.7896917281490232e-10, 1.6119572343598065e-10, -1.4547130167130717e-10] QuasiNewtonMethods.optimum(state) .- 1 = [1.2912892977112733e-10, 1.040885155845217e-10, 3.2488456369605956e-11, 1.1446044112517484e-10, 2.618483208038924e-10, 2.1882851086729715e-10, 8.788614280774709e-11, 2.3920865288573623e-10] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [1.2325251930178638e-11, -8.47761860711671e-11, 5.490585763823219e-11, 6.602940416655656e-12, 3.219691180333939e-11, -1.6846857242569513e-10, 9.959277846860459e-11, 7.968292692339674e-12, -5.767941679835076e-12] QuasiNewtonMethods.optimum(state) .- 1 = [6.55595577825352e-11, -1.0660972105114297e-10, -3.268008086365626e-11, 2.4484858585083202e-11, 1.1809642153082223e-10, -2.2458890303056478e-10, -6.552336451193241e-11, 4.070210835038779e-11, -4.318767565791859e-12] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [-1.9110701909852423e-10, -6.32816021806093e-12, -3.3246183583912625e-11, 2.8895752457458457e-10, 2.5687052485068307e-10, -3.7411318487556855e-10, -9.408918089093277e-12, -5.26563237457367e-11, 5.910141265275115e-10, 4.989932911314554e-10] QuasiNewtonMethods.optimum(state) .- 1 = [3.749911492434421e-11, -7.51146922439716e-11, -4.898881300618996e-11, -9.905742892613034e-12, 3.06614733602828e-11, 7.8384854163005e-11, -1.497273416362077e-10, -9.346867724246977e-11, -1.2316814235191487e-11, 5.489786403245489e-11] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [-1.3003043086712296e-11, 1.7525758622127796e-11, 7.547296121401814e-12, 9.553691171504397e-12, 1.2974288310374504e-11, -2.5333735109711597e-11, 3.473266119158325e-11, 1.2546186312079044e-11, 1.725930509621776e-11, 2.912137198052278e-11, 1.4053203045705231e-12] QuasiNewtonMethods.optimum(state) .- 1 = [3.0380586935052634e-11, 4.4887427108619704e-11, 4.511058193656936e-12, 6.151434917001097e-11, -5.948730397165036e-11, 5.999067909101541e-11, 8.597789147302137e-11, 9.220180174907e-12, 1.2759415746188552e-10, -1.2297329821109315e-10, -5.498823618665938e-11] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [4.3651748882211905e-12, 7.133804658110421e-11, -2.6439961331448103e-12, -5.870914865369059e-11, 1.0574652264949691e-10, 3.050137920013185e-11, 3.0931923689081486e-11, 1.3877143878460174e-10, -3.885669563885585e-12, -1.2949608052537087e-10, 2.118565323172561e-10, 4.5210057919575775e-11] QuasiNewtonMethods.optimum(state) .- 1 = [2.5514701462725498e-11, 1.5331647063021592e-10, -9.514877774563502e-11, 2.2887025608042677e-11, 2.6827651211647208e-11, 3.01505487243503e-11, 5.647193823676844e-11, 3.1688851542810426e-10, -2.1183643728051038e-10, 5.093991894966621e-11, 5.080491582987179e-11, 5.820766091346741e-11] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [-8.95139518064525e-12, -1.1443768155317002e-10, 0.0, -2.779776409056467e-11, -1.1611489547647125e-11, -5.552114323847945e-12, -1.8000156920550126e-11, -2.2468282789844807e-10, 8.548717289613705e-13, -5.251066248490588e-11, -2.3522406245035654e-11, -9.273248835484083e-12, 8.615330671091215e-14] QuasiNewtonMethods.optimum(state) .- 1 = [1.2210077393604024e-10, -3.309985618926703e-11, -2.111791852499323e-10, -1.1350231865492333e-10, 2.0119461652257087e-12, 6.154077247799705e-11, 2.4184165781093725e-10, -8.110312421649724e-11, -4.267809439184589e-10, -2.2832791213289738e-10, 1.0259348925956147e-11, 1.1488121565150777e-10, 1.8454793249134127e-11] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [-3.691780214865048e-11, -9.035328041306911e-12, -4.682254584054135e-11, 4.59394744467545e-11, -1.64781521760915e-11, 6.657119300257364e-12, 2.476330251965919e-11, -7.056022433005182e-11, -2.2727597581706505e-11, -9.329048644701743e-11, 9.029421654815906e-11, -3.444633467353242e-11, 1.2896794743255668e-11, 4.8040682543160074e-11] QuasiNewtonMethods.optimum(state) .- 1 = [2.754541039706737e-10, 5.962141891302508e-11, 6.242406591638883e-11, 4.056310842770472e-12, -1.9331647393983076e-11, -1.1212142325689456e-11, -4.9643178456904025e-11, 5.346192377686521e-10, 1.286089013063929e-10, 1.3009504584715614e-10, 7.578382366091319e-13, -3.3290370460292706e-11, -2.3459234554934483e-11, -8.82175443805977e-11] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [-4.6586956514715894e-11, -2.839006807420219e-11, 1.0938361327816892e-10, -1.4377166124290852e-11, 7.709899385588415e-11, -5.924427615155992e-11, 2.8681945707376144e-11, -9.299749859081885e-11, -4.6974535372612536e-11, 2.2466606353077623e-10, -2.6373792039180444e-11, 1.490025880457324e-10, -1.0863721033871343e-10, 6.22597529087443e-11, -6.916511807730785e-11] QuasiNewtonMethods.optimum(state) .- 1 = [7.889799924498675e-11, -1.7289469855796824e-10, -1.5527212848809313e-10, 2.3366641954680745e-11, 5.135536440548094e-11, 1.6792967016954208e-10, -3.256994673961344e-11, 1.6221912702008012e-10, -3.5876202009177405e-10, -3.267290882291718e-10, 4.317701751688219e-11, 1.074620392671477e-10, 3.3463165571845366e-10, -6.259082141468753e-11, 2.5510704659836847e-12] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [4.482192395016682e-11, 3.296474204717015e-12, -3.6375125134213704e-11, 3.410338678122571e-11, 4.82147655134213e-12, 2.5210500353978205e-11, -2.9375391008557017e-12, 9.250311627795327e-11, 8.993938926948886e-11, 3.810063375908612e-12, -8.82219852726962e-11, 7.178257988016412e-11, 1.0912604153645589e-11, 5.919509327156902e-11, 1.5375700712638718e-11, 1.9963919406507102e-10] QuasiNewtonMethods.optimum(state) .- 1 = [2.125493114846222e-10, 2.1356716395359854e-10, -3.0096336534057855e-10, -3.676392523743743e-12, 1.291808882086798e-10, -6.743416935961477e-11, 4.200417791366817e-12, -1.6550760761901984e-11, 4.442495260548185e-10, 4.2497250163364697e-10, -6.158930032640342e-10, 7.471356866517453e-12, 2.5243851453637944e-10, -1.2546153005388305e-10, 1.0156098184666007e-11, -3.9107495020118677e-11] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [-1.458533294140807e-11, 1.2443579500143187e-10, -3.2935876248529894e-11, -7.486700148717773e-11, 3.604849752036898e-11, -7.199429941096014e-11, -8.932998785127211e-11, -3.977040918812236e-11, -3.267763837300208e-11, 2.5458990471349807e-10, -6.921452300190367e-11, -1.3808254539782183e-10, 7.293365911209548e-11, -1.4898715594569012e-10, -1.74894654314528e-10, -6.418210407588276e-11, 3.3077984795681914e-12] QuasiNewtonMethods.optimum(state) .- 1 = [7.144818070514702e-11, -1.2764123091812962e-11, 1.0726530774718412e-11, -1.6713952444291635e-10, -5.958800119998386e-11, 2.5476909470967257e-10, -1.1836065461068301e-10, -6.920808370836085e-11, 1.4261258840519986e-10, -2.79342105002911e-11, 2.2295054691312544e-11, -3.3255964648759573e-10, -1.1638801034052904e-10, 4.971008049636794e-10, -2.487354766600447e-10, -1.3705525603313617e-10, 2.0867751970854442e-12] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [-9.90353354879403e-11, -3.537632409233993e-10, -7.299150173167845e-11, 8.686673602653627e-11, -9.33044752571277e-11, -3.1975055936328545e-10, -9.346201590432202e-11, -7.170264382239111e-11, 9.985923199451463e-11, -1.8834389603483714e-10, -7.221182540817495e-10, -1.449467212921718e-10, 1.8406765001088843e-10, -1.80234827062975e-10, -6.49088116588814e-10, -1.8252566125198655e-10, -1.665345639167981e-10, 1.9174817289524526e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-1.2386192072000313e-10, -8.242972970862184e-11, 8.196421319439651e-11, 8.104494853000688e-11, 4.87567763940433e-11, -3.969935491454635e-12, -8.021028286009368e-12, 1.1662226739872494e-10, 7.849498828704782e-11, -2.508470098305793e-10, -1.5929713104156917e-10, 1.6357892818064101e-10, 1.4132872649952333e-10, 9.84050618768606e-11, -9.171885473335806e-12, -1.3516743280206356e-11, 2.4722601743576433e-10, 1.4514145441069104e-10] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [2.4773294526880818e-11, 5.659250845724273e-12, -6.279421427279885e-13, 3.994249375693926e-11, 3.491296141078237e-11, -8.850298272022883e-11, -8.994027744790856e-12, 4.554512322840765e-11, 1.4300338690986791e-11, 5.248912415822815e-11, 1.372169045055216e-11, -3.504974088741619e-13, 8.692535580223648e-11, 7.528644374588112e-11, -1.7434753640799272e-10, -1.6852630402297564e-11, 9.396661226901415e-11, 2.7403412872217814e-11, 9.603873252217454e-12] QuasiNewtonMethods.optimum(state) .- 1 = [4.797340302786779e-11, 1.4077450316563045e-10, 4.148958954175441e-10, 5.1661785960277484e-11, -2.390123654549825e-10, 1.859268294879257e-11, 2.2988322356809476e-10, 2.445599278644295e-12, -8.683709307177878e-11, 9.796652378213366e-11, 2.77348810584499e-10, 8.343266078014722e-10, 1.0453526932963086e-10, -4.765782213311809e-10, 3.417399696559187e-11, 4.5075743138056623e-10, -1.7047474543119279e-12, -1.6381318523883692e-10, -3.632605327652527e-11] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [-2.2773893881833374e-11, -3.432809592140984e-12, 2.0686119484025767e-11, -5.777711642451777e-12, -8.930967076992147e-12, 3.3940406041210736e-11, -1.9126700223637272e-11, 3.084466015934595e-11, 1.6595835816701765e-11, -1.9612755863818165e-11, -4.5573655960140513e-11, -7.627121156872363e-12, 4.1568748443410186e-11, -1.1540768340978502e-11, -1.7937318297356342e-11, 6.545430863980073e-11, -3.7742364789039584e-11, 6.316858147670246e-11, 3.349409638531142e-11, -3.8672620661373e-11] QuasiNewtonMethods.optimum(state) .- 1 = [5.74633673977587e-11, -1.123745541065091e-11, -2.588240732848135e-11, -1.4506285062054758e-11, -5.551648030177603e-11, -2.218680794641159e-11, 2.9050095662341846e-12, 1.7067236512957606e-11, 4.594324920503823e-12, -1.1283640688475316e-11, 1.1305401059757969e-10, -2.6745383685522484e-11, -5.139644265739207e-11, -3.222033750915898e-11, -1.1184553283527521e-10, -4.108513529388347e-11, 2.9758417952052696e-12, 3.904898626672093e-11, 8.826717134979845e-12, -2.4892421457423097e-11] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [1.8006329760567041e-10, 3.909428336612564e-11, -1.0908574044066199e-10, 5.516787027204373e-11, -2.7903690469344156e-10, -6.098543892107955e-11, 1.1161449542385071e-10, -7.596701045997634e-12, 1.1093792551264414e-11, -2.000515308964168e-10, 3.6469871567135215e-10, 8.274514406991784e-11, -2.2222357287660088e-10, 1.0107492620647918e-10, -5.61776403174008e-10, -1.3244605412410237e-10, 2.3106094815261713e-10, -2.4519053454241657e-11, 2.0824675317498986e-11, -4.049611757039884e-10, -2.9201085993690867e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-5.597600161166838e-11, -1.6023404825205034e-11, 2.795053077875309e-11, 1.3840484314187051e-11, -6.303402244611789e-11, -4.0659586808544645e-11, -3.085032229677154e-11, 2.2815083156046967e-12, -2.4213075988654964e-11, -4.438560630148913e-12, -1.1603096261580959e-10, -3.299938100553845e-11, 5.65780755579226e-11, 2.883315808333009e-11, -1.23453580691546e-10, -7.700995396930921e-11, -6.081857240047839e-11, 6.84141632234514e-12, -5.3357873674997336e-11, -9.29389898374211e-12, 4.6207482284899015e-12] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [1.7008039421284593e-10, -6.44441167096943e-11, -7.152067826865505e-11, 2.504130236502533e-11, 1.39099398666076e-10, -4.056666114138352e-11, 8.094591663621031e-11, 5.688782778179302e-12, 9.576561765811675e-12, 4.146838428198407e-11, -1.5211654158520105e-10, 3.482412136435187e-10, -1.3102852136626097e-10, -1.3523804298642972e-10, 5.0745629920356805e-11, 2.8270430441068584e-10, -8.919553984299e-11, 1.6661494406378097e-10, 1.1270095967574889e-11, 1.8388179867656618e-11, 7.472733543067989e-11, -2.9800006906555154e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-5.734190899886471e-12, -1.9380053117856733e-12, -1.8545276425641077e-11, -1.0906608949312613e-11, -5.5725535297312945e-11, 6.672662422602116e-11, 5.28452837045279e-11, -1.5421774968160662e-11, -2.8659963291488566e-11, -8.738010315312295e-12, -3.62531116238074e-11, -1.4792500557803123e-11, -2.138844656940364e-12, -3.928712910550303e-11, -2.344147098654048e-11, -1.0930911731321657e-10, 1.3320144987005733e-10, 1.0414136220049386e-10, -3.2311819886388093e-11, -5.398792524147211e-11, -1.571964780566759e-11, -7.355605013970035e-11] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [2.1368906644170238e-11, 2.5375035406227653e-11, -5.644462675036266e-11, -3.1317171078626416e-12, 5.0681236984928546e-11, -1.000310945187266e-11, 5.12609954483878e-11, 9.159295544236556e-11, 1.1019118950628126e-10, -1.9649060156723408e-11, -9.836920167316521e-11, 3.9789282979540985e-11, 5.4962034923278225e-11, -1.1128142851646317e-10, -9.956480084838404e-13, 1.0241696379864607e-10, -1.85241821881732e-11, 1.0388778726166947e-10, 1.838873497916893e-10, 2.191091752479224e-10, -3.472255816205916e-11, -1.831759188775095e-10, 5.111688849979146e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-3.194355890911993e-10, -2.937117216106344e-11, -7.097689103119365e-11, 2.736397775038313e-10, -2.6698465660501824e-10, -1.552633577261986e-10, 2.643250063272262e-10, -2.465051496258752e-10, 3.0258107130975986e-10, 1.3949952304415092e-11, -2.2936430532638497e-11, -6.246722028535601e-10, -6.792422180268431e-11, -1.318138931338808e-10, 5.456664009528822e-10, -5.485767395896346e-10, -3.005120596810684e-10, 5.31785060431389e-10, -4.85349316292627e-10, 5.995857144114325e-10, 1.276800887239915e-11, -3.171185536388066e-11, -2.1295232244256113e-10] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [-6.765144000553391e-12, 1.1270762101389664e-11, -2.1477708500583503e-11, 1.4836354367275817e-11, -3.548517035767418e-11, -8.171019416636227e-12, 3.3363978246825354e-11, -5.162981153716828e-12, -8.476219726105683e-12, 1.6918910716867686e-11, -1.8649304323048455e-11, 8.904432746703606e-12, -1.262412396840773e-11, 2.2019275291995655e-11, -4.3237413649421796e-11, 3.096922718270889e-11, -7.120948275485262e-11, -1.5854761947764473e-11, 6.746914138489046e-11, -1.0243250692099082e-11, -1.7475909608322127e-11, 3.378297641631889e-11, -3.895928024633122e-11, 1.7350121339632096e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.600997112660707e-11, -4.984457291357103e-12, 1.0162981567418683e-12, 8.610889778992714e-13, -1.976085961530316e-12, 5.5289106626332796e-12, -1.1740497463108568e-11, -7.266742763079037e-12, 4.219291582785445e-12, 7.425171588693047e-13, 5.339506614632228e-12, -1.039057728746684e-12, -3.0449975874091706e-11, -1.0024092667038076e-11, 1.8558488079634117e-12, 2.7253754808498343e-12, -4.040212608913407e-12, 1.1252998532995662e-11, -2.3446578012453756e-11, -1.512290292993157e-11, 7.485123632022805e-12, 2.4151791677695655e-12, 1.0236700376253793e-11, -3.756439603819217e-12] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 4m14.3s Method ambiguity | 1 1 10.2s Unbound type parameters | 1 1 0.1s Undefined exports | 1 1 0.0s Compare Project.toml and test/Project.toml | 1 1 0.4s Stale dependencies | 1 1 7.1s 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 29.5s 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 282.3s ERROR: LoadError: Package QuasiNewtonMethods errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.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/v1.12/Pkg/src/Operations.jl:2359 [3] test @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2214 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.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/v1.12/Pkg/src/API.jl:481 [5] test(pkgs::Vector{Pkg.Types.PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:159 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:147 [7] test @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:147 [inlined] [8] #test#81 @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:146 [inlined] [9] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 [10] include(mod::Module, _path::String) @ Base ./Base.jl:300 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:329 [12] _start() @ Base ./client.jl:558 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 540.42s: package has test failures