Package evaluation to test QuasiNewtonMethods on Julia 1.14.0-DEV.3155 (07edee4e4c*) started at 2026-09-10T19:13:11.500 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 15.35s ################################################################################ # 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 v7.30.1 [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 v1.3.0 ⌅ [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 v1.5.7+0 [4536629a] + OpenBLAS_jll v0.3.34+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 To see why use `status --outdated -m` Installation completed after 4.0s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 3.5 s ✓ StaticArrayInterface 1.3 s ✓ StaticArrayInterface → StaticArrayInterfaceOffsetArraysExt 1.4 s ✓ LayoutPointers 1.0 s ✓ CloseOpenIntervals 17.5 s ✓ VectorizationBase 2.4 s ✓ StrideArraysCore 3.7 s ✓ SLEEFPirates 3.9 s ✓ VectorizedRNG 37.5 s ✓ LoopVectorization 4.2 s ✓ VectorizedRNG → VectorizedRNGStaticArraysExt 41.2 s ✓ VectorizedStatistics 12.3 s ✓ QuasiNewtonMethods 12.6 s ✓ Octavian 14.2 s ✓ StrideArrays 14 dependencies successfully precompiled in 157 seconds. 56 already precompiled. Precompilation completed after 170.84s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_w9qgv8/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_w9qgv8/Manifest.toml` [79e6a3ab] Adapt v4.7.0 [4c88cf16] Aqua v0.8.16 [4fba245c] ArrayInterface v7.30.1 [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 v1.3.0 ⌅ [aedffcd0] Static v0.8.10 [0d7ed370] StaticArrayInterface v1.10.0 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.5 [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 v1.12.0 [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 v1.5.7+0 [deac9b47] LibCURL_jll v8.22.0+0 [e37daf67] LibGit2_jll v1.9.7+0 [29816b5a] LibSSH2_jll v1.11.104+0 [14a3606d] MozillaCACerts_jll v2026.8.13 [4536629a] OpenBLAS_jll v0.3.34+0 [458c3c95] OpenSSL_jll v3.5.8+0 [efcefdf7] PCRE2_jll v10.48.0+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 v1.70.0+0 [3f19e933] p7zip_jll v17.8.2+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:789 [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:2252 [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 = [-7.1882499952380385e-12, -1.2392975534680772e-11] QuasiNewtonMethods.optimum(state) .- 1 = [7.248801559001095e-11, 1.6500711907951882e-10] n = 3 QuasiNewtonMethods.optimum(state) .- 1 = [-3.742040011189829e-11, -6.998268631264182e-11, -2.775979446312249e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-2.751132655021138e-12, -3.684497151823507e-12, -8.800249418072781e-11] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [1.3205214699496537e-11, -9.566347713985124e-12, 2.5631496924916064e-11, -1.8807844170964927e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.374769187378888e-10, -7.011591307559684e-11, 2.8886937286642933e-10, -1.242568270498623e-10] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [2.1654456006103828e-11, 2.1288215634740482e-10, 3.711475571321898e-11, 4.1118997096134535e-10, 1.17084120176969e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-7.484124431300643e-12, 2.6409985309783224e-12, -1.4852452601132882e-11, 6.286526854637486e-12, -6.695866083816782e-12] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [-1.3470458082309733e-10, 2.3207880062159347e-11, -1.2786161018851772e-10, -2.810455201895934e-10, 4.139333320551941e-11, -2.549481736835446e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-2.4421464850377106e-11, 4.1389114358025836e-12, 1.3321344027872328e-11, -4.8235304639376864e-11, 6.3091754043398396e-12, 2.6983304479699655e-11] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [2.8992364065061338e-11, -2.4062196679608405e-11, 1.29885213695502e-10, 6.310219013982987e-11, -5.0178972088588125e-11, 2.46376918866531e-10, -6.431954968633136e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.0054179711005418e-12, -4.66304772572812e-12, 2.2312818259706546e-11, -2.1579404929639168e-12, -1.0580647469282667e-11, 4.455880109333066e-11, 4.063416270128073e-13] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [-2.899458451111059e-12, -5.3116400167141364e-12, -8.878009438717527e-12, -1.0741962874760702e-11, -5.555556015224283e-12, -1.0084488799577684e-11, -1.469480093163611e-11, -2.1292967389285877e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.4120860036825889e-10, -1.2173106966884006e-10, -5.5399462794980536e-11, -4.513278639706186e-12, 2.80266254648609e-10, -2.367802620639736e-10, -1.1192768933909747e-10, -7.685629910270109e-12] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [2.011568689397336e-11, -4.167222122930525e-12, 5.151035153971861e-11, 5.127764879375718e-11, 4.511324647182846e-11, -2.3103075008634733e-11, 1.106021940699975e-10, 9.457346017427426e-11, 1.308371189168156e-10] QuasiNewtonMethods.optimum(state) .- 1 = [5.5030868750804984e-11, -8.796319228565608e-11, -1.3875678384067669e-11, -3.183686647645345e-11, 1.2029199858432094e-10, -1.8869417139910638e-10, -1.9201307210892082e-11, -6.621370118864434e-11, -4.655276164555744e-12] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [-2.300670765009727e-11, 9.554579349924097e-13, -3.465872033814321e-11, 1.1800338484135864e-11, 5.912537126562256e-11, -4.699973743527153e-11, 3.908651180495326e-12, -7.393685663714678e-11, 2.8492985748584942e-11, 1.1948464440081352e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-6.857125978143586e-11, 8.131273432354647e-12, 5.158162785789955e-11, -6.771139204886367e-11, -4.455569246886171e-11, -1.408839711558585e-10, 1.737898713827235e-11, 1.0529976890438775e-10, -1.388310577610241e-10, -9.265443967620968e-11] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [-8.567369036427408e-12, 1.2248646541479502e-11, 2.0799140187932608e-11, -2.9935831591387796e-11, -1.5115131368759194e-11, -2.1405321959377943e-11, 2.2322810266928172e-11, 4.203881687203648e-11, -5.871081398822753e-11, -2.930189424432683e-11, 1.6080470288670767e-12] QuasiNewtonMethods.optimum(state) .- 1 = [4.587885626960997e-12, 4.1016967600171483e-11, -2.2780888286888512e-11, 5.541100911443664e-11, 5.171241213020039e-11, 9.594769423415528e-12, 8.186806788046397e-11, -4.43063363775309e-11, 1.1084821949225443e-10, 1.0168887953909689e-10, -2.927658115936538e-13] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [3.365729916993132e-11, 1.1942158373301481e-10, -7.035727556115035e-11, -1.640667601776613e-10, -1.5155521282395057e-10, -5.007760872643985e-11, 5.794209556597707e-11, 2.5291146954486976e-10, -1.3714263058517417e-10, -3.366186218656253e-10, -3.1315872117687604e-10, -1.1676404287896958e-10] QuasiNewtonMethods.optimum(state) .- 1 = [1.4582113294636656e-11, 3.101563450513822e-11, 2.017830347256222e-11, 6.257261375708367e-11, 6.143419106763304e-11, 3.9074743440892235e-11, 2.8700153364979997e-11, 6.623368520308759e-11, 4.0665693035180084e-11, 1.2729040044234807e-10, 1.275577421466778e-10, 7.65698615623478e-11] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [2.574829238710663e-12, 1.659472559367714e-11, 1.1516343434436749e-11, 2.8881341762598822e-12, -6.274425423669072e-12, 2.426059353410892e-12, 4.845013279464183e-12, 3.424038830246445e-11, 2.3978818930459056e-11, 5.475397912846347e-12, -1.2219558698234323e-11, 4.4571013546601534e-12, -1.173217079042388e-11] QuasiNewtonMethods.optimum(state) .- 1 = [2.6185276169599092e-11, -2.892142081378779e-11, -2.7335356200808292e-11, -5.2386095461542936e-11, -6.681899478166997e-11, 9.81832393165405e-11, 5.956279913732487e-11, -5.5960791556231015e-11, -4.172917567046852e-11, -1.0485190493625396e-10, -1.3032452894634616e-10, 2.0195467520522925e-10, 2.1751489498456067e-12] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [-2.0063717354190658e-10, -4.3196335397510666e-11, -2.3570712048837095e-10, -8.887635072341027e-11, -3.889089050801431e-11, -5.5574211899056536e-11, -1.2931811177452346e-10, -3.9166558885028735e-10, -8.637934811872583e-11, -4.6073900250576116e-10, -1.7040735489359804e-10, -7.404554747125758e-11, -1.1990908266312772e-10, -2.6502333660971544e-10] QuasiNewtonMethods.optimum(state) .- 1 = [1.9974688569845966e-11, 1.6129320101754274e-12, -3.98914234978065e-11, -8.598777245794054e-11, -3.4095282153145945e-11, -5.179356943330049e-11, 2.804756427110533e-11, 3.595301834025122e-11, 5.287992266289621e-12, -7.712197547249389e-11, -1.6571777283758138e-10, -6.662648210919997e-11, -1.0415002194008594e-10, 5.892619725500481e-11] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [-4.383382545825043e-11, -3.0998537070558996e-12, 1.729905108049934e-11, 1.1776135622199035e-11, 2.7031488158968386e-11, 6.874278923874044e-12, 1.0881429091114114e-10, -8.650868910109466e-11, -5.1770809861295675e-12, 3.352651489763048e-11, 2.4929835973352965e-11, 5.17852427606158e-11, 1.3212542171459063e-11, 2.0547918921920427e-10, -6.719069745031447e-13] QuasiNewtonMethods.optimum(state) .- 1 = [-1.2259748771725754e-11, -3.5479397197946128e-12, -2.8447688649180236e-11, -5.237255074064251e-11, 2.7862379070597854e-11, -2.0945911671788053e-11, -1.3194667580762598e-11, -2.489120021209601e-11, -1.2014833572493444e-11, -5.676814573973843e-11, -1.0628820046321152e-10, 6.224043502811583e-11, -3.740596721257816e-11, -3.590794328545144e-11, 1.4011014570769476e-12] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [-2.0888069052205083e-11, 3.0647262505567596e-11, 6.596279078507905e-12, 6.094591498140289e-11, 8.641487525551383e-11, 5.012101844670269e-11, -4.7233550404257585e-11, -1.8900103704311277e-11, -4.408806653088959e-11, 5.6211479915191376e-11, 1.3573808743672089e-11, 1.152531403647572e-10, 1.6319989804003399e-10, 1.0233702774087305e-10, -8.255662820033649e-11, -1.624700374236454e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.8834267478951006e-11, 3.040745433224856e-11, 1.2584822073336e-11, -4.113376306236205e-13, 3.4852121189032914e-12, -1.113020786647212e-11, -9.37860900052101e-12, -4.5750736532568226e-11, 3.655142855052418e-11, 5.7801985420269375e-11, 2.4822144339964325e-11, 6.410427744185654e-13, 7.051914607814069e-12, -2.0683788015674054e-11, -1.9318435739990036e-11, -9.18890519230331e-11] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [-5.24469356832924e-13, -3.27092797292039e-11, 1.903788238166726e-11, 8.361644709964366e-11, 2.300448720404802e-11, 2.3600232879061878e-11, 7.142730851228407e-11, 3.1178171155943346e-11, 1.6688872506165353e-12, -6.570255450810691e-11, 4.326361491280295e-11, 1.733320154073681e-10, 4.774780570926396e-11, 4.4502179719074775e-11, 1.3329848336240957e-10, 5.2202908662479786e-11, 2.059663550824098e-11] QuasiNewtonMethods.optimum(state) .- 1 = [2.7617907960575394e-12, 4.6625814320577774e-11, 4.9193094042720986e-11, -2.8596902623689857e-11, 1.6078915976436292e-11, 7.169664861805813e-11, 4.537414888261537e-11, -3.865208153541744e-11, -1.970867913314578e-12, 8.594858158517127e-11, 9.467115980044127e-11, -5.858047380513653e-11, 2.5797364244795062e-11, 1.442495012327072e-10, 9.573652981487157e-11, -7.443679006513548e-11, -1.986188991054405e-13] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [3.221423128252354e-11, 1.524931292351539e-10, 8.958389585700388e-12, 1.613034150693693e-10, -1.6023926630026608e-10, 1.3378786967166434e-10, 7.611777874672043e-11, 2.514988217683367e-11, -6.342704139683519e-12, 6.332823154764355e-11, 3.080296018254103e-10, 3.058553410539844e-11, 3.253708413808454e-10, -3.164604134298088e-10, 2.816440414221688e-10, 1.4893108968294655e-10, 4.3183456810425014e-11, -7.380540623103116e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-4.151412547059863e-11, 1.4956258453935334e-11, -6.510181282948224e-11, -3.031963569100071e-11, 1.2593481812928076e-11, -6.654177209242107e-11, -4.2827408286427726e-11, -2.8200886070806064e-11, -2.074895810721955e-11, -8.717737642882639e-11, 3.3556935008505206e-11, -1.2799783455363922e-10, -6.371170258034908e-11, 2.0039081505274225e-11, -1.3685796940166028e-10, -8.543210583411565e-11, -5.5557447531384696e-11, -4.085976001988456e-11] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [3.513123125742368e-11, 1.234301549857264e-10, -3.215816501977997e-11, -1.6159151794425952e-10, 2.8318458689113868e-11, -1.896471868434446e-11, 1.6900436605737923e-10, 1.309419239703402e-10, -3.0964564246005466e-11, 6.418265918739507e-11, 2.585183178638317e-10, -5.4315885122946383e-11, -3.256427349995761e-10, 6.15500983514039e-11, -3.62362362338331e-11, 3.349263089091892e-10, 2.576923119335106e-10, -5.96193094892783e-11, 1.490496615019765e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-9.420719759845042e-11, 2.440225799205109e-11, 3.289812866569264e-12, -2.8302804544466653e-11, 7.741052243659396e-11, -2.838518309289384e-11, -1.14539933093738e-10, -1.3801737530627634e-10, -5.1314952287384585e-11, -1.8515011745989796e-10, 5.03561636833183e-11, 1.0760947688481792e-11, -6.133160646015767e-11, 1.4457368635589773e-10, -5.6200488707247587e-11, -2.2077739636472415e-10, -2.7523805457008166e-10, -1.0579004339206222e-10, -1.0217382495625316e-12] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [8.020695219101981e-11, 3.226485745244645e-11, 5.429190430561448e-11, -1.148153794261475e-10, -5.082834153569138e-11, 1.2726864007106542e-10, -1.0842216013884354e-10, 8.146305852108071e-11, 1.4496204236991161e-10, 9.028333636251773e-12, 1.6260992552474818e-10, 6.257261375708367e-11, 8.765899117690878e-11, -2.2252422127166938e-10, -9.466805117597232e-11, 2.5187185670461076e-10, -2.1688417728427112e-10, 1.642812552660189e-10, 2.9773317145043166e-10, -5.343170350613491e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-2.5940560810511215e-10, 1.329225618462715e-11, 1.7376100558408325e-10, -4.602584979807034e-11, 9.554179669635232e-11, 1.0131673278124254e-10, -2.2531754240162627e-11, 2.3191892850604745e-11, 1.0565281982621855e-10, -9.440503934143862e-11, -5.060404317802636e-10, 3.0595526112620064e-11, 3.483753285848934e-10, -8.327682987641083e-11, 1.8502488430272024e-10, 2.0881141260531422e-10, -5.2507775905041854e-11, 4.8307802202884886e-11, 2.142446220432248e-10, -1.8387857902979476e-10] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [2.0944579404158503e-11, -1.603561727847591e-11, 1.0486056467584604e-11, 1.6933121571582888e-11, 1.867861421089856e-11, 4.126188279940379e-11, -1.902378254925452e-11, -2.262412479581144e-12, -3.60078633576677e-11, 3.724487385170505e-11, 3.895817002330659e-11, -3.126565673028381e-11, 2.042499502863393e-11, 3.278621818481042e-11, 4.0771608311729324e-11, 8.036815657419538e-11, -3.4937830406533976e-11, -6.6032734835630436e-12, -7.883227404192894e-11, 7.127121115502177e-11, -2.5247581803000685e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-2.3133717164114387e-11, -1.6490031562454988e-11, -2.485900374438188e-11, -1.0605283318199099e-10, 3.163336259603966e-11, -7.87192533380221e-12, 4.8687720521911615e-12, -7.648437438945166e-12, 1.1677037115020994e-10, 1.569995244921074e-10, -4.484002058546821e-11, -3.235767209730511e-11, -5.4142579308802397e-11, -2.0659973731795844e-10, 5.085931675807842e-11, -1.7822632258912563e-11, 7.276845792603126e-12, -1.5661472119177233e-11, 2.3584578734414663e-10, 3.249578384156848e-10, -1.79001258260314e-11] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [-5.94783111651509e-11, -7.19411197280806e-11, 3.5628833217060674e-11, 1.4321210883849744e-11, -7.11268821618205e-11, -1.322919551682844e-11, -8.40594260864691e-12, 3.124500658202578e-11, 6.054179380043934e-11, 4.865219338512361e-11, 4.370148687371511e-11, -1.1267176081020125e-10, -1.4009393645153523e-10, 6.80575595879418e-11, 2.9087177111364326e-11, -1.514538494618023e-10, -2.9155566849681236e-11, -1.7334245150379957e-11, 6.138023422863625e-11, 1.2438161611783016e-10, 9.102252285231316e-11, 9.460632277580316e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.2371437208003044e-11, -1.2454093312186387e-10, 2.6446178580386004e-11, -4.1584957699569713e-11, -4.073752446487333e-11, -8.637623949425688e-11, 8.631939607539607e-11, -4.6755599392156455e-11, 2.0220936036707826e-11, -1.3122891662220582e-10, -2.8894775461196787e-11, 1.6611378939046517e-11, -2.418447664354062e-10, 5.825917526181001e-11, -9.198852790603951e-11, -8.991818400971852e-11, -1.7731316415137144e-10, 1.7110513006457495e-10, -7.608991214880234e-11, 3.7597480684326e-11, -2.643280039293927e-10, -6.225409077131872e-11] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [1.2797318760249254e-11, -1.189814913260534e-11, -7.91561260982121e-11, -1.5769274774868336e-11, 3.2491120904865056e-11, 7.531220092005242e-11, -9.161926772804918e-11, -2.2769564012037335e-11, -1.4917955759585766e-11, -5.689893001203927e-12, 1.3845591340100327e-11, 2.269517906938745e-11, -2.539779497823247e-11, -1.5813872433767528e-10, -3.538369597322344e-11, 6.204281532973255e-11, 1.4471135401095125e-10, -1.8674606305779662e-10, -4.798417219120665e-11, -2.66058286513271e-11, -1.47075684964193e-11, 3.112221591550224e-11, 3.4726443942645346e-11] QuasiNewtonMethods.optimum(state) .- 1 = [3.843503293410322e-11, -4.747138238059279e-10, -2.340785343335483e-10, -1.9397727868408765e-10, 1.3055112546567216e-11, 5.6449289687066084e-11, -1.2131029514250713e-10, 7.497291676372697e-11, 4.582654256068963e-10, 1.092681500836079e-12, 4.0369507736670585e-10, 7.334333140818217e-11, -9.279829127351036e-10, -4.700122513412452e-10, -3.881071020117588e-10, 2.751310290705078e-11, 1.2001821758644837e-10, -2.5148383375750427e-10, 1.3644374519117264e-10, 9.39383459908072e-10, -7.728817585928027e-12, 7.914651156681884e-10, 1.0086376178719547e-11] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [-2.3254065339983754e-11, 4.081646132192418e-11, 7.795541989707999e-12, -2.3619550759690355e-11, 4.8445469857938406e-11, -1.1247114350965148e-11, -2.9884983376859964e-12, 7.511236077561989e-11, 3.899414124930445e-11, -1.1252110354575962e-11, 5.897327071124892e-11, 8.541078955204284e-11, -4.013411825098956e-11, 8.179612542846826e-11, 2.046030012081701e-11, -4.8978598954363406e-11, 9.563350111818636e-11, -1.5085044324791852e-11, -4.185651825139303e-12, 1.4023160410658875e-10, 8.649325700105237e-11, -1.4914736112814353e-11, 1.1512235609245636e-10, 1.6352985632295258e-10] QuasiNewtonMethods.optimum(state) .- 1 = [1.0689205076630515e-10, 8.576783727676229e-11, 5.105138534133857e-11, 9.970824166316561e-11, -4.457800795165667e-11, 3.785394220301441e-11, -9.486045282613986e-11, -1.4937773240575325e-10, 1.2240675140162693e-10, -8.625233860470871e-11, -1.361311063874382e-11, -2.7255375734114295e-10, 2.1046253628753675e-10, 1.7015677755694014e-10, 1.0413070405945746e-10, 2.021556255726864e-10, -9.092571140456585e-11, 8.049916289110115e-11, -1.892314083207225e-10, -2.9541347146277985e-10, 2.4935231657252643e-10, -1.6919654566294184e-10, -2.596622916684055e-11, -5.446186834845435e-10] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 4m23.1s Method ambiguity | 1 1 9.7s 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 5.5s Compat bounds | 3 1 4 21.1s 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 20.5s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") weakdeps | 1 1 0.0s Piracy | 1 1 0.3s Persistent tasks | 1 1 1m00.8s RNG of the outermost testset: Random.Xoshiro(0xd12c8ef7854cccbd, 0xd182a731a1fd0a21, 0x3ff7c1a3ecf48b11, 0xec47ca6fe5a9a7c3, 0xfb81d5cf53ae38ca) 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 284.0s 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:3298 [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 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 513.4s: package has test failures