Package evaluation to test QuasiNewtonMethods on Julia 1.14.0-DEV.2705 (2f35a920f0*) started at 2026-07-19T19:17:21.287 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.65s ################################################################################ # Installation # Installing QuasiNewtonMethods... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [64452400] + QuasiNewtonMethods v0.1.4 Updating `~/.julia/environments/v1.14/Manifest.toml` [79e6a3ab] + Adapt v4.7.0 [4fba245c] + ArrayInterface v7.27.0 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 ⌃ [2a0fbf3d] + CPUSummary v0.2.6 [fb6a15b2] + CloseOpenIntervals v0.1.13 [34da2185] + Compat v4.18.1 [adafc99b] + CpuId v0.3.1 [ffbed154] + DocStringExtensions v0.9.5 [3e5b6fbb] + HostCPUFeatures v0.1.18 [615f187c] + IfElse v0.1.1 [10f19ff3] + LayoutPointers v0.1.17 [bdcacae8] + LoopVectorization v0.12.174 [d125e4d3] + ManualMemory v0.1.8 [6fe1bfb0] + OffsetArrays v1.17.0 [1d0040c9] + PolyesterWeave v0.2.2 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 [64452400] + QuasiNewtonMethods v0.1.4 [94e857df] + SIMDTypes v0.1.0 [476501e8] + SLEEFPirates v0.6.46 [431bcebd] + SciMLPublic v1.2.3 ⌅ [aedffcd0] + Static v0.8.10 [0d7ed370] + StaticArrayInterface v1.10.0 ⌅ [7792a7ef] + StrideArraysCore v0.4.17 [8290d209] + ThreadingUtilities v0.5.6 [3a884ed6] + UnPack v1.0.2 [3d5dd08c] + VectorizationBase v0.21.74 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.14.0 [d6f4376e] + Markdown v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.5+2 [4536629a] + OpenBLAS_jll v0.3.33+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Installation completed after 4.39s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 3.5 s ✓ StaticArrayInterface 1.3 s ✓ StaticArrayInterface → StaticArrayInterfaceOffsetArraysExt 1.2 s ✓ LayoutPointers 0.9 s ✓ CloseOpenIntervals 17.2 s ✓ VectorizationBase 2.5 s ✓ StrideArraysCore 3.1 s ✓ SLEEFPirates 3.6 s ✓ VectorizedRNG 40.9 s ✓ LoopVectorization 4.1 s ✓ VectorizedRNG → VectorizedRNGStaticArraysExt 46.7 s ✓ VectorizedStatistics 13.6 s ✓ QuasiNewtonMethods 14.8 s ✓ Octavian 14.5 s ✓ StrideArrays 14 dependencies successfully precompiled in 168 seconds. 56 already precompiled. Precompilation completed after 192.85s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_hVsmoH/Project.toml` [4c88cf16] Aqua v0.8.16 [64452400] QuasiNewtonMethods v0.1.4 [d1fa6d79] StrideArrays v0.1.29 [8dfed614] Test v1.11.0 Status `/tmp/jl_hVsmoH/Manifest.toml` [79e6a3ab] Adapt v4.7.0 [4c88cf16] Aqua v0.8.16 [4fba245c] ArrayInterface v7.27.0 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 ⌃ [2a0fbf3d] CPUSummary v0.2.6 [fb6a15b2] CloseOpenIntervals v0.1.13 [34da2185] Compat v4.18.1 [adafc99b] CpuId v0.3.1 [ffbed154] DocStringExtensions v0.9.5 [3e5b6fbb] HostCPUFeatures v0.1.18 [615f187c] IfElse v0.1.1 [10f19ff3] LayoutPointers v0.1.17 [bdcacae8] LoopVectorization v0.12.174 [d125e4d3] ManualMemory v0.1.8 [6fd5a793] Octavian v0.3.29 [6fe1bfb0] OffsetArrays v1.17.0 [1d0040c9] PolyesterWeave v0.2.2 [aea7be01] PrecompileTools v1.3.4 [21216c6a] Preferences v1.5.2 [64452400] QuasiNewtonMethods v0.1.4 [94e857df] SIMDTypes v0.1.0 [476501e8] SLEEFPirates v0.6.46 [431bcebd] SciMLPublic v1.2.3 ⌅ [aedffcd0] Static v0.8.10 [0d7ed370] StaticArrayInterface v1.10.0 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [d1fa6d79] StrideArrays v0.1.29 ⌅ [7792a7ef] StrideArraysCore v0.4.17 [8290d209] ThreadingUtilities v0.5.6 [3a884ed6] UnPack v1.0.2 [3d5dd08c] VectorizationBase v0.21.74 [33b4df10] VectorizedRNG v0.2.26 [3b853605] VectorizedStatistics v0.5.11 [0dad84c5] ArgTools v1.2.0 [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 v1.13.0 [b27032c2] LibCURL v1.0.0 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.14.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.14.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.13.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [f489334b] StyledStrings v1.13.0 [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 v1.5.5+2 [deac9b47] LibCURL_jll v8.21.0+0 [e37daf67] LibGit2_jll v1.9.4+0 [29816b5a] LibSSH2_jll v1.11.103+0 [14a3606d] MozillaCACerts_jll v2026.7.16 [4536629a] OpenBLAS_jll v0.3.33+0 [458c3c95] OpenSSL_jll v3.5.7+0 [efcefdf7] PCRE2_jll v10.47.0+0 [83775a58] Zlib_jll v1.3.2+0 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.69.0+0 [3f19e933] p7zip_jll v17.8.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints 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. 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/h1qD0/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/v1.14/Test/src/Test.jl:784 [inlined] [2] test_deps_compat(pkg::Base.PkgId, deps_type::String; broken::Bool, kwargs::@Kwargs{}) @ Aqua ~/.julia/packages/Aqua/h1qD0/src/deps_compat.jl:60 [3] test_deps_compat(pkg::Base.PkgId, deps_type::String) @ Aqua ~/.julia/packages/Aqua/h1qD0/src/deps_compat.jl:55 [inlined] [4] macro expansion @ ~/.julia/packages/Aqua/h1qD0/src/deps_compat.jl:45 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] [6] test_deps_compat(pkg::Base.PkgId; check_julia::Bool, check_extras::Bool, check_weakdeps::Bool, kwargs::@Kwargs{}) @ Aqua ~/.julia/packages/Aqua/h1qD0/src/deps_compat.jl:45 n = 2 QuasiNewtonMethods.optimum(state) .- 1 = [-1.0648149029179876e-12, -2.243871755069904e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-4.3203329802565804e-11, -9.06649200160814e-11] n = 3 QuasiNewtonMethods.optimum(state) .- 1 = [6.509259797837785e-11, 1.3089618278172566e-10, 1.7675239050163327e-10] QuasiNewtonMethods.optimum(state) .- 1 = [9.663669864323765e-11, 1.972908503233839e-10, 2.0657608956753393e-10] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [-4.509392859119998e-12, -1.1396616983461172e-10, -9.875322781738305e-12, -2.0861223859469646e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-3.809086379646942e-11, -5.5708770929641105e-12, -7.642586563605391e-11, -8.480216528994333e-12] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [7.0816685848740235e-12, 1.2279288696959156e-11, 1.4048540109001806e-11, 2.35755859279152e-11, 4.744427073433144e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-7.57138796103618e-12, -6.433531485328103e-11, -1.925770654054304e-11, -1.3906176210554122e-10, 4.744427073433144e-12] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [5.5823567990387346e-11, 3.9899195058978876e-11, -4.227840300075059e-12, 1.0759482194089287e-10, 7.609846086609195e-11, -1.0488943047448629e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.8992363237657628e-10, 4.6541726028692665e-10, 8.845613130858965e-11, 3.6986325113730345e-10, 9.137213208276762e-10, 1.8322721118124718e-10] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [1.7145040942523337e-10, 5.4337201405019186e-11, 4.334776981806954e-11, 3.4479219479521817e-10, 1.0123590854504982e-10, 8.765432824020536e-11, -1.7653656314564614e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-7.105571686594203e-11, -2.7876256858405668e-11, -1.6506507272140425e-10, -1.482257649954022e-10, -5.59309265568686e-11, -3.2654945414378744e-10, -3.011069171776626e-11] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [4.800737585242132e-11, -1.6566747973456586e-11, -2.7750468589715638e-11, 1.2598810883446276e-11, 9.698797320822905e-11, -3.284206240294907e-11, -5.1632698117032305e-11, 2.3227642031997675e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.3432810419544694e-10, -2.844569024773591e-11, 7.895017972714413e-11, -1.016832174016713e-10, 2.573203872202612e-10, -6.331735136200223e-11, 1.364823809524296e-10, -2.0723178728587754e-10] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [-9.812206602788365e-11, -5.798916902222118e-12, -7.4670714056424e-11, 1.6612422548689665e-10, -2.0386348165146728e-10, -1.2354672840331204e-11, -1.3855405711638014e-10, 3.285491878557423e-10, -1.6685541837091478e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-1.5087930904655877e-11, 5.170086581074429e-12, -2.0470292128038636e-12, -1.9246493287994326e-11, -2.8746782732014253e-11, 1.1515899345226899e-11, -4.995226454695967e-12, -3.9136915930271243e-11, -1.1046275005810458e-11] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [-1.2658429859868647e-11, -1.474553812386148e-11, 7.177813898806562e-12, 1.1973977365187238e-11, -5.689970716815651e-11, -3.338407328357107e-11, -2.844213753405711e-11, 1.2347234346066216e-11, 2.259370468493671e-11, -1.115899594950065e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-7.261724555007731e-11, -1.1338263661286874e-11, -3.302080830991372e-11, 4.601430347861424e-12, 2.406763677242907e-11, -1.4652867807996017e-10, -2.4740542947654376e-11, -7.029987703077722e-11, 1.1275202993488165e-11, 5.4647397718099455e-11] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [-7.284617353775502e-11, 6.627343118736917e-11, -2.0283996704506535e-11, 7.115463773743613e-11, -4.0205061502263106e-11, -1.5701151490077336e-10, 1.216711176255103e-10, -3.386613212086331e-11, 1.4651235780149818e-10, -8.177414301258068e-11, 5.5135895848934524e-12] QuasiNewtonMethods.optimum(state) .- 1 = [9.161116309996942e-12, -2.4061863612701018e-12, 8.389111627593593e-11, 5.109224154864478e-11, -3.270494985940786e-11, 1.6852741424600026e-11, -4.028999356364693e-12, 1.7016321685048297e-10, 9.872147543887877e-11, -6.092593096695964e-11, 5.637712519046545e-12] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [1.0258460747536446e-13, 5.633093991264104e-11, -4.6825321398102915e-11, -8.733613832134779e-11, -1.6525114610033143e-11, -3.627609324041714e-11, -8.554823516249144e-12, 1.1475709271735468e-10, -9.461909034058635e-11, -1.8092738418573617e-10, -3.8637870680702235e-11, -6.860090273619335e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.5277668019564317e-11, 1.250268777397423e-10, 2.6080915205284327e-11, -1.360034307396063e-10, -4.0471181961265756e-11, 1.1021628054663779e-11, -3.566802408982994e-11, 2.425810663453376e-10, 5.900746558040737e-11, -2.682802868747558e-10, -7.146827574189274e-11, 2.7220670162364513e-11] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [9.033329639862586e-11, 1.6152634785271403e-11, 5.571609840160363e-11, 6.703615440528665e-11, -7.035849680647743e-11, -5.669620328774272e-11, 1.9466983580684882e-10, 3.026823236496057e-11, 1.0644973791329448e-10, 1.3887424543668203e-10, -1.4502798961757435e-10, -1.1323042503619263e-10, -1.5698109478989863e-11] QuasiNewtonMethods.optimum(state) .- 1 = [2.3252844094656666e-10, -7.504674659486454e-11, 5.637446065520635e-11, -1.04576347581542e-11, 4.942446452105287e-11, -6.801381680077156e-11, 4.5828452144291987e-10, -1.4205203680006662e-10, 1.0380851733771124e-10, -1.425659590381656e-11, 1.0044343135007239e-10, -1.3851986224722168e-10, 2.7424729154290617e-12] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [-2.0049295557100777e-11, 3.9115377603593515e-12, -4.1183834120772644e-11, -1.7016721365337162e-11, 2.7073232544694292e-11, -5.6674887005669916e-11, 9.638290165980834e-12, -3.935340942007315e-11, 7.319700401353657e-12, -7.793088396823578e-11, -3.765310285785972e-11, 5.3860915727454994e-11, -1.1312917269634681e-10, 2.1812773809415376e-11] QuasiNewtonMethods.optimum(state) .- 1 = [3.400679737808332e-11, 1.4016787730497526e-11, -7.624589848376218e-11, -1.1729617277467241e-11, 2.3401502957653975e-11, -5.260691882114088e-11, 5.960987259356898e-11, 6.82678358288058e-11, 2.6324276092282162e-11, -1.5211987225427492e-10, -2.3961610473577366e-11, 4.279443466259636e-11, -1.0539513706220305e-10, 1.1715339809370562e-10] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [-4.372091577664605e-11, -1.0193101918076763e-10, -5.051736806649387e-12, -8.818057395387768e-12, 1.0071343758966123e-10, -6.255995721460295e-11, 1.0394063387764163e-10, -9.308498416515931e-11, -1.9862833600114982e-10, -1.7618795311591384e-11, -1.7591816892092993e-11, 1.9889001556805397e-10, -1.2432499474357428e-10, 2.1252133386440164e-10, 7.508216270935009e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-1.5987033918918314e-10, -1.4662826508526905e-10, 1.9959767172395004e-10, -9.429657055193275e-11, 8.338396639828716e-11, 2.8206770252836577e-11, -1.5082934901045064e-10, -3.073732379732519e-10, -2.7823010562144646e-10, 4.142863829770249e-10, -1.8645185395627095e-10, 1.7275003649785958e-10, 7.747780195188625e-11, -2.981115354572239e-10, -2.815081501239547e-12] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [-3.9046543776066756e-12, 9.696687897076117e-12, -2.1661339388856504e-11, 4.656119934054459e-11, -2.871225479594841e-11, 5.6740612208727725e-11, -9.442335802134494e-11, 1.387550074838373e-10, -1.0760059510062092e-11, 1.5834888955623683e-11, -5.1769033504456274e-11, 9.407563617003234e-11, -5.685985016157247e-11, 1.1426681822968021e-10, -1.8606716167823834e-10, 2.754052541575902e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-2.0208168471924637e-11, 3.852407282067816e-11, 1.570232832648344e-11, -5.409772629860754e-11, -1.3483725247454004e-10, 1.1498135776832896e-11, 1.5548229370665467e-11, 1.013633621482768e-12, -3.775191270705136e-11, 7.299583160147449e-11, 3.3613778427366015e-11, -1.1519218912070528e-10, -2.702098544915543e-10, 1.7956525155682357e-11, 3.0257130134714316e-11, -8.647527138805344e-13] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [-2.6477264825075508e-11, 7.217026976036323e-11, 7.758771403132414e-11, 5.0992765565638365e-11, -8.280587326936484e-11, -3.4576785878925875e-12, -8.634737369561662e-11, -4.4723780234789956e-11, -5.477829301270276e-11, 1.4363332745404023e-10, 1.487692191659562e-10, 9.973954995246004e-11, -1.5973000699887052e-10, -1.1645018282990804e-11, -1.7431611709639583e-10, -1.0384348936298693e-10, -5.176015172025927e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.442921337968528e-10, -2.5068980225029236e-10, 1.2588841080685143e-10, 3.9070302548793734e-11, 6.318279233141766e-11, -1.8692714043311298e-11, 9.594125494061245e-11, 1.4129075687208115e-10, -2.851081593036042e-10, -4.94391860783594e-10, 2.7685942427524424e-10, 6.833378307646854e-11, 1.2678258443088453e-10, -4.463474034821502e-11, 1.8485457609074274e-10, 2.7559354798256663e-10, 4.738209824495243e-12] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [-1.0856426868599556e-11, -1.549094186259481e-11, -1.4258305647274483e-10, 1.7125412199447965e-11, 9.807488154933708e-12, 8.23252577220046e-12, -2.4737434323185425e-11, -1.687061601529649e-11, 4.856315349854867e-11, -1.956090844856817e-11, -3.088573841125708e-11, -2.9529823031282376e-10, 3.3435920698821064e-11, 2.169153745512631e-11, 1.6510570688410553e-11, -5.01565455834907e-11, -3.6354919075165526e-11, 1.0117151560962157e-10] QuasiNewtonMethods.optimum(state) .- 1 = [4.8258730345196454e-11, 2.4327873049401205e-11, 7.2091221881009915e-12, -7.4513728520742e-12, -5.449185547234947e-11, -1.260158644100784e-11, 1.4293011219024265e-11, 5.48003864508928e-11, 2.0606183426252755e-11, 8.820855157409824e-11, 5.377231993008991e-11, 1.2385870107323171e-11, -1.6671664049283663e-11, -1.1056644488860456e-10, -2.3434032492275492e-11, 3.0607960610495866e-11, 1.0188472288064077e-10, 4.219646854153325e-11] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [5.1372683884665094e-11, 2.8737456858607402e-11, 2.8869573398537796e-11, -5.2951865114891916e-11, -8.84796680367117e-11, 3.779510038270928e-11, 1.176092556676167e-10, -7.964739978660873e-12, 1.600342081076178e-11, 1.0663114835551823e-10, 5.4226401147161596e-11, 5.6674442916460066e-11, -9.513656529236414e-11, -1.7266654772640777e-10, 7.802403168000183e-11, 2.3948842908794177e-10, -1.6041390438203962e-11, 3.5167646572631384e-11, 2.1060708732534295e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.5807932740585784e-10, -2.828436374002763e-10, 3.9904746174102e-11, 9.261102995594683e-11, 1.1899170537787995e-10, 7.78268560708284e-11, -1.5464318714464298e-10, -1.0209533218841216e-10, -5.367628563845983e-11, -3.3603941851367836e-10, -5.657476709330922e-10, 7.878764307633901e-11, 1.8755241804058187e-10, 2.3036150764710328e-10, 1.5111245588173006e-10, -3.2020663898180146e-10, -2.2471136063018093e-10, -1.0007417117208206e-10, 1.404654170755748e-12] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [6.263656260330208e-12, 1.2547296535103669e-11, -2.0219159679868426e-11, 6.447664624431582e-11, 2.3898882872686045e-11, 2.382671837608541e-11, -1.1362466523223702e-11, -1.622535439338435e-11, -6.126232854342106e-11, -8.616307667352885e-11, 6.495914917081791e-12, 2.5666357927889294e-11, -4.5054737718430715e-11, 1.345477063097178e-10, 4.413558407634355e-11, 4.303513101433509e-11, -2.0599633110407467e-11, -3.825817440628043e-11, -1.2263834392456374e-10, -1.4857304275750494e-10] QuasiNewtonMethods.optimum(state) .- 1 = [5.221600929417036e-11, 2.7794433421490794e-11, 3.950395566221232e-11, 4.1950887208486165e-11, 2.3407276117382025e-11, -2.4685808952540356e-12, -6.936584640016008e-11, 3.484079691418174e-11, -6.013944897631518e-11, -1.1808531930057597e-10, 9.448042348481067e-11, 5.414357850952456e-11, 8.79643025086807e-11, 8.27882207232733e-11, 3.779021540140093e-11, -6.584177647539491e-12, -1.2928014214708128e-10, 7.781375543913782e-11, -1.2196710308387537e-10, -2.562060563704449e-10] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [4.703903933034326e-11, -4.1577963294514575e-11, 9.473977158336311e-11, -1.6000423208595294e-11, -2.6968427491169678e-11, 2.3103297053239658e-11, -6.808442698513772e-11, 1.3445244917420496e-11, -7.81763542789804e-11, -2.8179347744128336e-11, 9.330380912331293e-11, -8.691980468711336e-11, 1.8965518044922192e-10, -3.0132119022141524e-11, -5.811851000459001e-11, 4.822497956524785e-11, -1.4054268859808872e-10, 2.8002267171700623e-11, -1.5536794073511828e-10, -5.95639093603495e-11, 9.481304630298837e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-1.3669732012999702e-11, -3.1433189384699745e-11, 1.066813304362313e-11, -2.076838701015049e-11, -4.182099111460502e-11, -1.8940626844710096e-11, -3.5271008336223986e-11, -3.863775965839977e-11, 2.631228568361621e-12, 2.1509016789877933e-11, -2.6401769659400998e-11, -6.580025413427393e-11, 1.6433521210501567e-11, -4.103895001605906e-11, -8.238809634519839e-11, -3.601219322746374e-11, -7.238831756239961e-11, -7.995826223350377e-11, 5.513145495683602e-12, 4.416134125051485e-11, 8.032463583163008e-12] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [-4.212852289242619e-12, 1.8471890683713355e-12, -2.0928814237208826e-11, -7.575640115220494e-11, 1.0187495291802406e-10, -1.4302115047826192e-11, 6.507128169630505e-11, 1.6647794254254222e-11, -1.301114771479206e-11, 7.899325638049959e-11, 4.4683590161298525e-11, -1.0128675675957766e-11, 5.441869177502667e-12, -4.760680738513656e-11, -1.571485164220121e-10, 2.0128565481059013e-10, -3.2617797351974787e-11, 1.3706924484324645e-10, 3.5330627312646357e-11, -2.3953172778590215e-11, 1.4839551809586737e-10, 8.906142490161528e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-4.770195349834694e-11, 1.3778755914017893e-11, -1.7729862022974885e-10, 3.1017854951187473e-11, -3.9450298583432186e-10, -2.3945623262022764e-11, -2.3047241892726333e-10, 2.524380704471696e-11, -3.2187918996839926e-11, 7.710609928324175e-11, 4.871480996371247e-11, -9.107326004453853e-11, 2.092992446023345e-11, -3.366491529988025e-10, 4.7696513405526275e-11, -7.975242688473827e-10, -5.084987986236911e-11, -4.673336162497321e-10, 4.158118294128599e-11, -6.668299246115339e-11, 1.5693446542286438e-10, 9.311262871847248e-11] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [-2.0870527528416005e-11, -5.1268989054165104e-11, 4.6947112863904294e-11, 1.2509904223634294e-10, 8.168221654614172e-11, -6.7518213242578895e-12, -9.659228972225264e-11, 6.034439614666098e-11, 9.935852141040868e-11, -1.678277516958815e-10, -1.2560996687227544e-10, -4.339195669444962e-11, -9.064493600163814e-11, 1.0472089861934819e-10, 2.5499935496497983e-10, 1.5795076357960625e-10, -1.1927570042757907e-11, -1.9671075879301725e-10, 1.181874598188415e-10, 1.9795032280001124e-10, -3.608819909572958e-10, -2.478913740944222e-10, -8.009481966553267e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-6.656897255652439e-12, -1.7481238678840327e-11, -3.667510739546742e-12, 1.0293987884324451e-12, 2.8227420401094605e-11, -1.6562751170567935e-11, -1.0669243266647754e-11, 1.1612266703764362e-11, 2.2260637777549164e-11, 1.4516166046973922e-11, -3.397493397727658e-11, -8.88122908548894e-12, -3.356737110493668e-11, -1.1371681374328091e-11, 7.902567489281864e-13, 5.4613868982755776e-11, -3.117295310772761e-11, -2.217004357873975e-11, 2.206013149930186e-11, 4.3747894196144443e-11, 2.8146152075692044e-11, -6.228773052896486e-11, 2.1393997684526767e-12] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [1.4836798456485667e-11, -2.769273699243513e-11, 3.330735687256947e-10, 7.810552205000931e-11, -9.933720512833588e-11, 1.3260481601662377e-10, -1.034200503013949e-10, -8.030953679849517e-11, -1.0351242085704371e-10, 1.1105272257339038e-10, -4.626121707929087e-11, -1.3793322040100975e-10, 2.7919666578668512e-11, -5.7067683911782296e-11, 6.760889625923028e-10, 1.5609935566374133e-10, -2.1184709542154678e-10, 2.484312755512974e-10, -2.0701385050614363e-10, -1.6954859738405048e-10, -2.0688462054607726e-10, 2.198472515146932e-10, -9.742373574539442e-11, -2.97581070896058e-10] QuasiNewtonMethods.optimum(state) .- 1 = [1.0630585300930306e-10, 5.0080162239396486e-11, 2.461275627752002e-11, -3.463562769923101e-12, -6.783440475999214e-11, 1.861377718626045e-11, -1.1334477800772902e-10, 1.5207279879803082e-10, 4.984235246752178e-11, -2.505359253390793e-10, 1.3589351866016841e-11, -1.8709811477890526e-11, 2.1396084903813062e-10, 1.0161049779355835e-10, 5.35549382618683e-11, -3.423150651826745e-12, -1.419104833644269e-10, 3.713940266436566e-11, -2.164600720888643e-10, 3.069802190225346e-10, 1.0070233535941497e-10, -5.012046333519038e-10, 2.6577184897291772e-11, -3.4282354732795284e-11] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 4m51.0s Method ambiguity | 1 1 9.9s 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 6.0s Compat bounds | 3 1 4 22.8s 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 22.1s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") weakdeps | 1 1 0.0s Piracy | 1 1 0.4s Persistent tasks | 1 1 1m11.5s RNG of the outermost testset: Random.Xoshiro(0x7ecd11f6a78dc77c, 0xa69414a63a017e27, 0x6e00d513486743a2, 0x0e2742f68def21d2, 0xfba04e07a12080d9) 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 313.04s ERROR: LoadError: Package QuasiNewtonMethods errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/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/v1.14/Pkg/src/Operations.jl:3247 [3] 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/v1.14/Pkg/src/API.jl:587 [4] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 [5] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [6] test(pkg::String; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [inlined] [7] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 [8] include(mod::Module, _path::String) @ Base Base.jl:325 [9] exec_options(opts::Base.JLOptions) @ Base client.jl:355 [10] _start() @ Base client.jl:596 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 571.29s: package has test failures