Package evaluation to test QuasiNewtonMethods on Julia 1.14.0-DEV.2600 (ff0e675117*) started at 2026-07-06T09:21:43.841 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.5s ################################################################################ # 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 v1.2.1 ⌅ [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 To see why use `status --outdated -m` Installation completed after 4.43s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 3.1 s ✓ StaticArrayInterface 1.2 s ✓ StaticArrayInterface → StaticArrayInterfaceOffsetArraysExt 1.4 s ✓ LayoutPointers 1.3 s ✓ CloseOpenIntervals 17.0 s ✓ VectorizationBase 2.0 s ✓ StrideArraysCore 3.4 s ✓ SLEEFPirates 4.1 s ✓ VectorizedRNG 35.4 s ✓ LoopVectorization 3.5 s ✓ VectorizedRNG → VectorizedRNGStaticArraysExt 41.0 s ✓ VectorizedStatistics 12.6 s ✓ QuasiNewtonMethods 13.0 s ✓ Octavian 14.8 s ✓ StrideArrays 14 dependencies successfully precompiled in 154 seconds. 56 already precompiled. Precompilation completed after 183.68s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_jApXWO/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_jApXWO/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 v1.2.1 ⌅ [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 v1.11.101+0 [14a3606d] MozillaCACerts_jll v2026.5.14 [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 = [1.6393553181615061e-12, 3.398614722982529e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-1.2594369991347776e-12, -2.6189050927882818e-12] n = 3 QuasiNewtonMethods.optimum(state) .- 1 = [1.9522383709613678e-11, 4.0610625973158676e-11, -7.724831885269623e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.7621637482534425e-10, -3.5360137040640893e-10, 4.841016476575533e-10] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [6.4439564795293336e-12, 3.5480507420970753e-12, 1.2513989844364914e-11, 7.080558361849398e-12] QuasiNewtonMethods.optimum(state) .- 1 = [3.4015013028465546e-12, -1.6118217871508023e-12, 6.545208819375148e-12, -3.232747403103531e-12] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [-3.8217762288184076e-10, -4.3609005295763836e-11, -7.881196806280855e-10, -9.388001487309339e-11, 2.2831048163141077e-10] QuasiNewtonMethods.optimum(state) .- 1 = [2.618241179419556e-10, -1.5265622099747134e-10, 5.163054428436453e-10, -3.033003848074145e-10, -3.0409219586857716e-10] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [-6.85210777007228e-11, -4.593536662156339e-11, 7.049050232410536e-11, -1.3624634753739429e-10, -8.877210078139797e-11, 1.3890044670006318e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-1.2551071293387395e-11, 2.3769208823409826e-11, -3.2954527995343597e-11, -2.697997381062578e-11, 4.756572913322543e-11, -6.728706480885194e-11] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [7.60767004948093e-11, 1.876876432049812e-11, 1.2580003705409126e-10, 1.3140599719463353e-10, 3.496491984833483e-11, 2.709796831368294e-10, 1.1304956970548119e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.8016921288221965e-11, -1.7893686532488573e-11, -4.3298697960381105e-15, 3.851496899187623e-11, -3.750433297255995e-11, 4.072298054325074e-13, -6.38289421317495e-12] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [-1.8167467530361137e-11, 9.440892512202481e-12, -4.194322666961625e-11, -1.04358632846413e-10, -3.4477420918221924e-11, 1.7615686687122434e-11, -8.577571986023713e-11, -2.031753654208046e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-1.0436362885002382e-10, -1.2982170893849343e-11, -3.788303004625959e-11, -2.6514679341005376e-11, -2.08156047953878e-10, -2.2556512213611768e-11, -7.86425369270205e-11, -4.844702417017288e-11] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [-6.20503648463e-12, 4.4512837860111176e-11, 1.9168444609363178e-11, -8.208989044078407e-12, -1.2493006629199499e-11, 8.569056575424838e-11, 3.42257333585394e-11, -1.6661116930549724e-11, -1.1091128016005314e-12] QuasiNewtonMethods.optimum(state) .- 1 = [1.5374368445009168e-12, -3.8762326681762715e-12, 1.7361667659088198e-11, 3.796252201482275e-11, 6.858069667714517e-12, -8.5105256175666e-12, 3.256950265040359e-11, 7.72697461570715e-11, -1.814814964973266e-11] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [7.887024366937112e-13, -6.856437639868318e-11, 1.043918285148493e-10, -5.4885207489974164e-11, -2.209232796701599e-11, -2.42994513399708e-12, -1.4429957229111778e-10, 2.1864110522074043e-10, -1.1136369604258789e-10, -4.191103020190212e-11] QuasiNewtonMethods.optimum(state) .- 1 = [9.341416529196067e-12, -3.60916851960269e-11, 6.186806622565655e-11, 1.1004086530874702e-11, 1.1436629421268663e-11, 1.4057643937803732e-11, -7.411238289734001e-11, 1.3085776906507363e-10, 2.7786883904923343e-11, 2.5600632724831485e-11] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [1.4097834011295163e-11, -7.172040739078511e-14, -1.2780887459484802e-11, 1.6335155450519778e-11, -1.5467849223682606e-11, 2.3868462761811315e-11, -1.731059739995544e-12, -2.967703860434767e-11, 3.727662623020933e-11, -3.37844197062509e-11, -4.80560036208999e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-1.6070145214541753e-11, 5.416866954988109e-11, -6.004863273290084e-12, 2.0457413540952984e-11, 2.3248514224860628e-11, -3.746025711848233e-11, 1.0689027440946575e-10, -1.361577517400292e-11, 3.863220854327665e-11, 4.8323567369834564e-11, 1.4330536757256596e-11] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [-1.227506984946558e-11, -1.2086143197365118e-10, 1.9968893205657423e-10, -2.3323221132187655e-10, 3.950706428668127e-11, -1.5244350226595316e-10, -3.2029046082016066e-11, -2.5548496651595087e-10, 3.835385342654263e-10, -4.6397419239951887e-10, 7.216094388695637e-11, -2.8824165276830627e-10] QuasiNewtonMethods.optimum(state) .- 1 = [1.3531176179526483e-11, -7.293887716031122e-11, -1.1370127062093616e-11, 4.987077417695218e-11, 2.088929029753217e-11, 1.1852074877083396e-11, 2.8068436463968283e-11, -1.526859749745313e-10, -8.551381824872806e-12, 1.0157386043374572e-10, 3.749933696894914e-11, 3.163780348813816e-11] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [-6.880562786193423e-11, 8.063727463536452e-11, 8.746781077206833e-12, 1.0157963359347377e-10, -7.299227888779569e-11, 1.7944978836226255e-11, -1.358961831954275e-10, 1.6268830727028671e-10, 1.7673862373612792e-11, 2.1342883016473024e-10, -1.4998580155634045e-10, 3.8158143311761705e-11, 3.9768188742073107e-13] QuasiNewtonMethods.optimum(state) .- 1 = [-1.2731793397335878e-10, 6.538991570437247e-12, -4.360956040727615e-13, -4.301947686968788e-11, 5.859135399077786e-11, -8.759593050911008e-11, -2.517118735667623e-10, 1.3851586544433303e-11, -3.711475571321898e-12, -8.470790735515266e-11, 1.1076939365750604e-10, -1.873518007400321e-10, 1.5081269566508126e-12] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [-5.4195870013984404e-11, 1.503801527746873e-10, 2.0737034311935076e-10, 1.3352430272561833e-11, -1.1638956465276351e-10, 1.1427547796927229e-10, 2.8101965199311962e-12, -1.0882783563204157e-10, 3.130247172578038e-10, 3.9719649791436495e-10, 2.3413049277110076e-11, -2.302121826502912e-10, 2.1701063168677592e-10, 6.8549610432455665e-12] QuasiNewtonMethods.optimum(state) .- 1 = [6.756462056500823e-11, -2.138755839098394e-11, -8.67197424980759e-11, 1.995634768547916e-10, -6.479594638619801e-11, 1.5048540191742177e-10, -8.157263753361121e-11, 1.4201817499781555e-10, -4.141098575161095e-11, -1.7414403252757893e-10, 3.952862481781949e-10, -1.2657608294830425e-10, 3.065210307795496e-10, -1.602996624328057e-10] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [4.870104319820712e-11, -6.692424392440444e-13, -2.7781110745195292e-12, -3.367184309155391e-11, -1.2832068740920022e-11, -8.321787703380323e-12, 8.940181928096536e-12, 9.18825016071878e-11, -1.816102823681831e-12, -7.498002219108457e-12, -6.653955164637182e-11, -2.4803270548545697e-11, -1.7071233315846257e-11, 2.3789414882458004e-11, -2.664424236797913e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-7.616907105045811e-12, -8.099076964640517e-13, -1.532685089955521e-11, 8.779865723340663e-12, -3.1642799491748974e-11, -1.8116730338135767e-11, -1.4048762153606731e-11, -1.61259894326804e-11, -2.138178523125589e-12, -3.0042190957146886e-11, 1.645661384941377e-11, -6.175915334694082e-11, -3.836264639289766e-11, -2.8122393302965065e-11, 5.131450819817474e-13] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [1.9808821249966968e-11, 2.584976677155737e-11, 1.2383938319260324e-10, 2.7336355401530454e-11, -3.156674921456215e-11, -4.2028491797907463e-11, -1.464605103862482e-10, 5.324851670707176e-11, 3.859468300504432e-11, 4.806333109286243e-11, 2.4712876189880717e-10, 5.6243676382905505e-11, -6.152778286860894e-11, -8.334766210538191e-11, -2.9499114262421244e-10, 1.0478284906412227e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-3.535061132708961e-11, -1.6004131353497542e-10, 1.2385115155666426e-10, -6.87725432158004e-11, -1.4121170899272784e-10, -2.1283075302136467e-10, -4.8577808442473724e-12, 8.059308775898444e-11, -8.428824305184435e-11, -3.3008051847360775e-10, 2.2482060657580405e-10, -1.418088979576737e-10, -2.7596014362529786e-10, -4.1817371787544744e-10, 1.7839063559677015e-12, 1.5294254751552216e-10] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [2.553735001242785e-10, -5.249831680487205e-10, 1.2317435960085277e-10, -4.7591453000706e-10, -3.411310123269118e-10, 2.108533347922048e-10, -8.966671849464092e-11, 1.7492673975993966e-10, 5.046920659168563e-10, -1.0571175046436565e-9, 2.304476609538142e-10, -9.592280303394318e-10, -6.634940374894427e-10, 4.1072789613849636e-10, -1.7736989654792978e-10, 3.4666625126078543e-10, 1.2388090553372422e-11] QuasiNewtonMethods.optimum(state) .- 1 = [4.7186698992618403e-11, -1.3533274501043024e-10, 6.61255494804891e-11, -3.250810731714182e-11, 1.8645907040593102e-10, -2.3694990414213635e-10, 1.7286616582623537e-11, -2.0635126940504733e-10, 9.462564065643164e-11, -2.711846303071752e-10, 1.344953037829555e-10, -6.981948352802192e-11, 3.953508631582281e-10, -4.5434589424075966e-10, 3.019784422519933e-11, -4.03702071771761e-10, 7.391420808744442e-12] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [-3.123357128487214e-11, 3.345168586577074e-11, -1.7714496536314073e-11, 1.8555823544375016e-11, 5.732103680600176e-11, 2.492339667981014e-11, 1.1631806628997765e-11, -2.09214867652463e-11, 1.8657742018035606e-11, -6.005629327177076e-11, 6.724665269075558e-11, -3.3026026358129457e-11, 3.204170262449679e-11, 1.1420620005253568e-10, 4.5353942823567195e-11, 2.4306112678118552e-11, -4.773959005888173e-11, 3.002020854125931e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.5742473991053885e-10, -5.399569680264449e-11, 9.488854146866288e-12, -2.8630209314428612e-11, -2.7115198975025123e-11, 1.8051538042129778e-10, 1.8969159576442962e-10, -1.9692791841663393e-10, 1.6762524701618986e-10, -3.34432259663231e-10, -1.1324252646716104e-10, 1.0942580175310468e-11, -4.505940065513414e-11, -7.101441656942598e-11, 3.750380006550813e-10, 3.7212166681399594e-10, -3.767126610654259e-10, 3.5597103043016887e-10] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [-2.5985547047469026e-11, 1.8513857114044185e-10, 5.746314535315378e-11, 6.31370511428031e-11, 2.549442879029584e-10, -4.418743149159354e-11, -4.552591637008163e-11, -1.126810866836081e-10, -8.945089113865379e-11, -5.369604760829816e-11, 3.6265035419091873e-10, 1.2000755944541197e-10, 1.2690803963266717e-10, 5.075382336627854e-10, -7.612832586545437e-11, -8.736489309768558e-11, -2.2538604316224564e-10, -1.8784329647303366e-10, -4.795053243356051e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-6.506251093441051e-11, 7.453371253518526e-12, 7.831513215705854e-11, 1.5154544286133387e-11, 1.3119505481995475e-11, -2.04899430755745e-11, 7.383360589585664e-11, 4.639577610987544e-11, -3.9897862791349326e-11, -1.2951795191895599e-10, 1.818212247428619e-11, 1.5967249744619494e-10, 3.113642677021744e-11, 2.3995250231223508e-11, -4.229350203388549e-11, 1.4847523210903546e-10, 9.425971114751519e-11, -8.185629951640294e-11, -1.0134115768778429e-12] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [1.3417045252595017e-11, -1.624911316611133e-11, 4.190248148461251e-11, 4.0039083160081645e-12, -3.209188470520985e-11, -3.75734998669941e-11, -1.85268467234323e-11, -1.3684053890017367e-11, -6.20468121326212e-11, -2.6124546970152096e-11, 2.759703576771244e-11, -3.873257270470276e-11, 8.747291779798161e-11, 6.475042724218838e-12, -6.698996912746225e-11, -8.073652857376601e-11, -3.0539903939086344e-11, -2.4404589460402804e-11, -1.245346048506235e-10, -5.308276040949522e-11] QuasiNewtonMethods.optimum(state) .- 1 = [2.89172463752152e-10, -1.3919976282750213e-12, -1.287466799837489e-10, -1.6005363701054875e-10, -1.6155743409740353e-11, -3.9283576391824226e-11, -7.687406267109509e-11, -1.8736123763574142e-10, -1.7217427483728898e-10, 1.117403947148432e-10, 5.57715651439139e-10, -1.4149237337335308e-11, -2.532997145365812e-10, -3.2982616637866613e-10, -2.8157143283635833e-11, -8.527134554014992e-11, -1.4595291641938957e-10, -3.6710512407722717e-10, -3.5987890445454696e-10, 2.1092438906578082e-10] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [-7.27985449699986e-11, -1.3910295137975481e-10, 3.0745450629865445e-10, 1.6974865957308793e-10, 3.5420133492891637e-10, 3.010414140192097e-10, -1.6185019990899718e-10, -2.3373480928512436e-10, 4.807132469863973e-11, 1.182878239802676e-10, -1.5282286547346757e-10, -2.722652103770429e-10, 6.34030161705823e-10, 3.4428104811468074e-10, 7.122031853157296e-10, 6.278368935852541e-10, -3.149988048178898e-10, -4.5301462581193164e-10, 9.955591906418704e-11, 2.3250112946016088e-10, -1.0362155578036436e-11] QuasiNewtonMethods.optimum(state) .- 1 = [9.01101415706762e-12, 5.62179192087342e-11, -5.563882687908972e-12, 5.3437254621258035e-11, -8.817413466033486e-11, -2.335842630429852e-11, -9.60542756445193e-12, 5.482503340203948e-12, 3.6626701671593764e-11, 9.0584650891401e-11, 1.5334178371517737e-11, 1.1461720461625191e-10, -7.69717622972621e-12, 1.0374656689293715e-10, -1.7418255726653342e-10, -4.869760150683078e-11, -2.1022406038184727e-11, 1.1707301794672276e-11, 7.428768711292832e-11, 1.7900325666175831e-10, -4.865219338512361e-12] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [-4.3859693654724197e-11, -3.898947831260102e-11, -3.7952530007601126e-11, -8.48822123700188e-11, -1.9802604001029067e-11, -4.335198866556311e-12, -6.640465954887986e-12, -2.0601298444944405e-12, 1.0759393376247317e-11, -6.608935620988632e-12, -4.339606451964073e-11, -9.059142325185121e-11, -7.865952333929727e-11, -7.864053852557618e-11, -1.7045953537575542e-10, -3.581046570388935e-11, -6.710187960834446e-12, -1.3801071396812858e-11, -3.736899678585814e-12, 2.0393464694734575e-11, -1.2454259845640081e-11, -8.851419597277754e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.48956402767908e-11, -2.4128476994178527e-12, 5.824851712077361e-11, 1.0533796057643485e-11, 1.005286964783636e-10, -2.910227614449923e-12, 7.194755902162342e-11, -1.1184242421080626e-10, 6.50308695782087e-11, -2.113864638886298e-12, 4.518163621014537e-11, 3.4609426435849855e-11, -6.373346295163174e-12, 1.2292300510807763e-10, 2.4324320335722405e-11, 2.0864110439333672e-10, -8.956391184256063e-12, 1.4090217881346234e-10, -2.356305150996718e-10, 1.1459655446799388e-10, 2.1602719613156296e-12, 9.228640074354644e-11] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [6.379585748561567e-11, -1.0164091790443308e-12, -2.8903102133881475e-11, 9.624079311265632e-12, -1.1235790076113972e-11, 8.814282637104043e-12, -6.614819803019145e-12, -7.416711689245403e-11, 2.343258920234348e-11, -1.4851231355805794e-11, 7.878142582740111e-13, 1.2455370068664706e-10, -3.6055602947726584e-12, -5.872757835589937e-11, 1.532995952402416e-11, -2.3859580977614314e-11, 2.036593116372387e-11, -1.3100076579064535e-11, -1.4392143032893046e-10, 4.7792658719458814e-11, -2.5969670858216887e-11, 4.68070027181966e-12, -9.821032875834135e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-2.5019430971440215e-11, 2.6436852706979153e-11, -1.5884960014034277e-11, 2.730349280000155e-11, 1.173749986094208e-11, 2.6119773011146208e-11, -2.022992884320729e-11, 3.5891511984686986e-11, -9.993450511558422e-12, -2.045674740713821e-11, 1.2404743898741799e-11, -5.0930593076259356e-11, 4.8912429662095747e-11, -3.265954173770069e-11, 5.948486148099619e-11, 2.4994672997991074e-11, 5.00057772967466e-11, -3.9235836801765345e-11, 7.388090139670567e-11, -1.2277068250909906e-11, -3.9249936634178084e-11, 2.1824098084266552e-11, -1.5346612869393539e-12] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [1.2281509143008407e-11, -9.805489753489383e-13, -1.0642930980964138e-11, -3.2004732197776775e-11, 1.0577760889418641e-11, 3.8688607872927605e-11, 2.5911273127121603e-11, -2.861644254892326e-11, 2.2326140936002048e-11, 3.318056940315728e-11, -2.0290991109561674e-11, -2.1793455928786898e-11, 2.3243851288157202e-11, 2.964295475749168e-13, -1.882560773935893e-11, -6.625322512832099e-11, 2.410471822145155e-11, 8.079092950197264e-11, 5.0818016461562365e-11, -7.329592488503067e-11, 4.5633719025772734e-11, 6.65105748254291e-11, -4.653566421097821e-11, -4.402700426453521e-11] QuasiNewtonMethods.optimum(state) .- 1 = [2.0320634064319165e-10, -3.9260150686004636e-11, 3.515543411936051e-11, -6.140665753662233e-11, -1.0172718223344646e-10, 1.1806111643863915e-10, 7.65769669897054e-11, -3.0818458895964795e-11, 1.3338086191083676e-10, -1.520971126822701e-10, 6.342926184288444e-12, 3.659295089164516e-11, 3.9785996719388095e-10, -7.853406813751462e-11, 8.158584918760425e-11, -1.2814815875117347e-10, -2.0227985952914196e-10, 2.398878873322019e-10, 1.5057044500110806e-10, -5.419664717010164e-11, 2.628426365447467e-10, -3.0597191447157e-10, 1.0895728763671286e-11, 6.20974383025441e-11] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 5m03.6s Method ambiguity | 1 1 8.4s Unbound type parameters | 1 1 0.2s 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 20.0s julia | 1 1 0.1s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") deps | 1 1 0.4s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") extras | 1 1 19.4s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") weakdeps | 1 1 0.0s Piracy | 1 1 0.3s Persistent tasks | 1 1 1m10.0s RNG of the outermost testset: Random.Xoshiro(0xea1c1c1c7e16db62, 0xd8bbdd21fc9d7cc8, 0x238c9b5a313fd9a7, 0xef9f7d60b7576ddd, 0xb36b29ea6d929308) 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 325.38s 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 554.33s: package has test failures