Package evaluation to test QuasiNewtonMethods on Julia 1.14.0-DEV.1893 (b4aba01002*) started at 2026-03-15T18:17:37.708 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 11.59s ################################################################################ # 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 v4.5.0 [4fba245c] + ArrayInterface v7.23.0 [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 v0.12.173 [d125e4d3] + ManualMemory v0.1.8 [6fe1bfb0] + OffsetArrays v1.17.0 [1d0040c9] + PolyesterWeave v0.2.2 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.2 [64452400] + QuasiNewtonMethods v0.1.4 [ae029012] + Requires v1.3.1 [94e857df] + SIMDTypes v0.1.0 [476501e8] + SLEEFPirates v0.6.43 [431bcebd] + SciMLPublic v1.0.1 ⌅ [aedffcd0] + Static v0.8.10 [0d7ed370] + StaticArrayInterface v1.9.0 ⌅ [7792a7ef] + StrideArraysCore v0.4.17 [8290d209] + ThreadingUtilities v0.5.5 [3a884ed6] + UnPack v1.0.2 [3d5dd08c] + VectorizationBase v0.21.72 [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 v1.13.0 [d6f4376e] + Markdown v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [4536629a] + OpenBLAS_jll v0.3.30+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 To see why use `status --outdated -m` Installation completed after 4.97s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling packages... 6019.2 ms ✓ StaticArrayInterface 1479.9 ms ✓ StaticArrayInterface → StaticArrayInterfaceOffsetArraysExt 1530.6 ms ✓ CloseOpenIntervals 1721.2 ms ✓ LayoutPointers 16586.9 ms ✓ VectorizationBase 2412.8 ms ✓ StrideArraysCore 3798.6 ms ✓ SLEEFPirates 3902.1 ms ✓ VectorizedRNG 38794.7 ms ✓ LoopVectorization 3821.6 ms ✓ VectorizedRNG → VectorizedRNGStaticArraysExt 41825.9 ms ✓ VectorizedStatistics 13314.8 ms ✓ QuasiNewtonMethods 14847.7 ms ✓ Octavian 15746.2 ms ✓ StrideArrays 14 dependencies successfully precompiled in 166 seconds. 57 already precompiled. 26 dependencies precompiled but different versions are currently loaded (ArgTools, Base64, Dates, Downloads, JuliaSyntaxHighlighting, LibCURL, LibCURL_jll, LibGit2, LibGit2_jll, LibSSH2_jll, Logging, Markdown, MozillaCACerts_jll, NetworkOptions, OpenSSL_jll, PCRE2_jll, Pkg, Printf, StyledStrings, TOML, Tar, UUIDs, Zlib_jll, Zstd_jll, nghttp2_jll and p7zip_jll). Restart julia to access the new versions. Otherwise, 30 dependents of these packages may trigger further precompilation to work with the unexpected versions. Precompilation completed after 188.77s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_AUL2xS/Project.toml` [4c88cf16] Aqua v0.8.14 [64452400] QuasiNewtonMethods v0.1.4 [d1fa6d79] StrideArrays v0.1.29 [8dfed614] Test v1.11.0 Status `/tmp/jl_AUL2xS/Manifest.toml` [79e6a3ab] Adapt v4.5.0 [4c88cf16] Aqua v0.8.14 [4fba245c] ArrayInterface v7.23.0 [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 v0.12.173 [d125e4d3] ManualMemory v0.1.8 [6fd5a793] Octavian v0.3.29 [6fe1bfb0] OffsetArrays v1.17.0 [1d0040c9] PolyesterWeave v0.2.2 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.2 [64452400] QuasiNewtonMethods v0.1.4 [ae029012] Requires v1.3.1 [94e857df] SIMDTypes v0.1.0 [476501e8] SLEEFPirates v0.6.43 [431bcebd] SciMLPublic v1.0.1 ⌅ [aedffcd0] Static v0.8.10 [0d7ed370] StaticArrayInterface v1.9.0 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [d1fa6d79] StrideArrays v0.1.29 ⌅ [7792a7ef] StrideArraysCore v0.4.17 [8290d209] ThreadingUtilities v0.5.5 [3a884ed6] UnPack v1.0.2 [3d5dd08c] VectorizationBase v0.21.72 [33b4df10] VectorizedRNG v0.2.25 [3b853605] VectorizedStatistics v0.5.11 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0 [b27032c2] LibCURL v1.0.0 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [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 v1.0.0 [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 v1.3.0+1 [deac9b47] LibCURL_jll v8.18.0+1 [e37daf67] LibGit2_jll v1.9.2+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.12.2 [4536629a] OpenBLAS_jll v0.3.30+0 [458c3c95] OpenSSL_jll v3.5.5+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 v1.68.0+1 [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/MCcFg/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:781 [inlined] [2] test_deps_compat(pkg::Base.PkgId, deps_type::String; broken::Bool, kwargs::@Kwargs{}) @ Aqua ~/.julia/packages/Aqua/MCcFg/src/deps_compat.jl:60 [3] test_deps_compat @ ~/.julia/packages/Aqua/MCcFg/src/deps_compat.jl:55 [inlined] [4] macro expansion @ ~/.julia/packages/Aqua/MCcFg/src/deps_compat.jl:45 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined] [6] test_deps_compat(pkg::Base.PkgId; check_julia::Bool, check_extras::Bool, check_weakdeps::Bool, kwargs::@Kwargs{}) @ Aqua ~/.julia/packages/Aqua/MCcFg/src/deps_compat.jl:45 n = 2 QuasiNewtonMethods.optimum(state) .- 1 = [-1.803035498681993e-11, -3.608469079097176e-11] QuasiNewtonMethods.optimum(state) .- 1 = [2.5837110229076643e-12, 3.483213717458966e-12] n = 3 QuasiNewtonMethods.optimum(state) .- 1 = [-2.3016621941707172e-10, -4.572972001071207e-10, 1.8903389964464168e-10] QuasiNewtonMethods.optimum(state) .- 1 = [6.652900452763788e-12, 3.265099302041108e-11, -4.03371780421935e-11] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [2.893321138230931e-10, -4.65108174196871e-10, 5.658922219708984e-10, -9.118831245658043e-10] QuasiNewtonMethods.optimum(state) .- 1 = [5.115841084091244e-11, -7.542533264626172e-11, 1.0270628791886338e-10, -1.4795598080041827e-10] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [-3.5773717321774257e-11, -1.430910945288133e-11, -6.945055641693898e-11, -2.795097486796294e-11, -1.0758061108617767e-13] QuasiNewtonMethods.optimum(state) .- 1 = [1.1354628348669848e-10, -2.2198409777018924e-10, 2.1165735830663834e-10, -4.4778336594220036e-10, 5.564346761133265e-10] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [3.948641413842324e-11, -1.0049650001064947e-10, -2.1582846621015506e-11, 8.109934945821351e-11, -2.1989121634646835e-10, -5.700950822529194e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.330742183114353e-10, 7.271694357768865e-11, -2.821087807802769e-11, -2.765782047831067e-10, 1.5356227400786793e-10, -6.17944584391239e-11] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [6.328382262665855e-11, -5.4107718305829167e-11, 5.802935909571261e-11, 1.2921486103323332e-10, -1.0397527283600994e-10, 1.1297096591533773e-10, 1.2196688103927045e-11] QuasiNewtonMethods.optimum(state) .- 1 = [3.3548941402727905e-11, -4.886757665190089e-12, -1.7723045253603686e-11, 6.63047394766636e-11, -9.534262268573457e-12, -3.53678197839713e-11, 1.9984014443252818e-14] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [2.3002000304472858e-10, 2.367750440157579e-11, 2.0989721072339762e-10, 1.963302853624782e-10, 4.6248471718968176e-10, 2.814681820950682e-11, 4.432385569685948e-10, 3.868296793996251e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-3.250133495669161e-11, -2.7267632596306157e-11, 2.697952972141593e-11, 6.181277711903022e-11, -6.151334996928881e-11, -6.669820251659075e-11, 5.872236030768363e-11, 1.2611667266071436e-10] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [4.38034053473757e-11, 2.864597448137829e-12, 8.815015384300295e-11, 1.91491267287347e-12, 7.962874803979503e-11, -1.7209567104714552e-12, 1.9751578150817295e-10, 2.3843371721454787e-11, 1.6491252807782075e-12] QuasiNewtonMethods.optimum(state) .- 1 = [4.9123372036774526e-11, 7.675815538732422e-11, -3.7203129465979146e-11, 3.304734264020226e-11, 1.0707235098550427e-10, 1.5470047465271364e-10, -8.020029085287206e-11, 7.493805576075374e-11, -1.3915935070940577e-10] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [1.1287859535968892e-11, 7.37720995402924e-12, 1.4505285861332595e-11, -2.81045187122686e-11, 4.399014486011765e-11, 1.9167334386338553e-11, 1.2535972260252493e-11, 2.483302452560565e-11, -5.4921955872089256e-11, 8.309353205504522e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-2.4564794642856214e-12, 2.6434410216324977e-12, 2.045319469345941e-11, -1.4966916594971735e-12, 5.21294118982496e-12, -5.472622355284784e-12, 6.299405441723138e-12, 3.9366954140973576e-11, -4.944489262470597e-12, 9.248601884337404e-12] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [8.098632875430667e-12, -3.2569502650403592e-12, -5.6137317017146415e-12, -4.026556865710518e-12, -7.814193736521702e-12, 1.4464207609421464e-11, -5.9573457278361275e-12, -1.0331957511766632e-11, -8.19055934186963e-12, -1.7407741914610142e-11, 5.962341731446941e-12] QuasiNewtonMethods.optimum(state) .- 1 = [1.7296675203226641e-10, -5.97928373480272e-11, -1.2825296380469808e-12, 4.3085535139653075e-12, -1.5635348571407803e-10, 3.3970048995968227e-10, -1.419898643106876e-10, 2.807754029277021e-12, 1.0939693595446442e-11, -3.1986280291107505e-10, -7.2020167607433905e-12] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [-6.637901339701102e-11, -3.806799320216214e-11, -3.6436964556685325e-11, 4.224465222080198e-11, -4.1832648456363586e-11, -1.0186973486980833e-10, -1.3154166644824272e-10, -7.612821484315191e-11, -6.881195613317459e-11, 8.765410619560043e-11, -8.347111890572023e-11, -2.0668877720453338e-10] QuasiNewtonMethods.optimum(state) .- 1 = [1.6302514893595799e-12, 4.4159786938280376e-11, 9.2210683533267e-12, 5.0355053460293675e-11, 4.246558660270239e-11, -7.966405313197811e-11, 9.190648242451971e-12, 8.212674984520163e-11, 2.8475444224795865e-11, 1.0093015312406806e-10, 7.51523288045064e-11, -1.5713452761190183e-10] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [-1.5005330311623766e-11, -1.4091650069048e-10, -2.211809624341754e-10, 3.272455639802274e-10, 8.642064841524189e-11, 1.0881984202626427e-10, -3.815869842327402e-11, -3.0423674690638336e-10, -4.466365055577626e-10, 6.49319265022541e-10, 1.7853496458997142e-10, 2.180837732623786e-10, 5.410960568497103e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.4379319956958625e-10, -1.659602455461595e-10, -9.195433303688105e-11, -7.091072173892599e-11, 8.86126727550618e-11, 1.3957013322851708e-10, 2.8450353184439336e-10, -3.291115158177149e-10, -1.7375023642074439e-10, -1.3203382831505905e-10, 1.7132162355437686e-10, 2.764419804179852e-10, 2.8124169659804465e-12] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [9.135137091220713e-11, -1.3432643886091e-10, 2.6258550889224352e-11, 5.4045878883357545e-11, -2.1739954281230212e-10, -1.82620585320592e-12, 1.883839750860261e-10, 1.7103118921113492e-10, -2.9289293212997336e-10, 4.260591879301501e-11, 1.0147060969245558e-10, -4.1286130070261606e-10, 1.740896315993723e-11, 3.7012681808334946e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-6.29374330429755e-12, -9.206857498611498e-12, 2.5014657012434327e-11, -4.2867931426826544e-12, -2.8918423211621302e-11, -2.888433936476531e-11, 9.761302877109301e-12, -9.38038535736041e-12, -2.0480728224470113e-11, 5.0102588744493914e-11, -6.714739875235409e-12, -5.4031779050944806e-11, -5.912093037352406e-11, 1.63007385367564e-11] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [1.7702284083043196e-11, 1.1475487227130543e-11, -1.181388320503629e-11, 5.713873818535831e-12, 2.6670887720570136e-11, 1.4905854328617352e-12, 2.74742451011889e-11, 2.141264943134047e-11, 2.0119905741466937e-11, -1.7530088491923834e-11, 1.4542367310355075e-11, 4.762923389023399e-11, 1.9095836023552692e-12, 5.671840774823522e-11, -8.01847477305273e-12] QuasiNewtonMethods.optimum(state) .- 1 = [3.2552405215824365e-11, 3.6339375952820774e-11, -6.624389925491414e-11, 1.9361423575503522e-10, -7.537848123462254e-11, -9.45277189856597e-11, 1.8994805728311803e-10, 6.475708858033613e-11, 7.196665485764697e-11, -1.3617973415591678e-10, 3.8443848104918743e-10, -1.5977497103136784e-10, -1.8045087646356706e-10, 3.705469264758676e-10, 2.773559160118566e-12] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [1.4503509504493195e-11, 3.317324193119475e-11, 8.526956918331052e-12, 1.0212497514316965e-11, -8.47522052538352e-12, 1.991518061572606e-12, 1.1921574838424931e-11, 2.6433744082510202e-11, 2.919375852172834e-11, 6.491163162536395e-11, 1.6828538562663198e-11, 1.8353762953893238e-11, -1.68542957368345e-11, 4.1171510645199305e-12, 2.352140704431349e-11, 5.210942788380635e-11] QuasiNewtonMethods.optimum(state) .- 1 = [2.6103341710381756e-11, 2.226441253583289e-12, -3.1748381701390826e-11, 5.401301628182864e-11, -3.2681635175890733e-12, -7.473466290264241e-12, -1.206368338557695e-12, 9.174438986292444e-12, 5.271894032432556e-11, 2.496003403962277e-12, -6.279277098286684e-11, 1.0547274165162435e-10, -7.554734615666803e-12, -1.8806955992545227e-11, -2.2067903060474237e-12, 1.4096501743665613e-11] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [-2.3915647240357885e-11, -3.796407632705723e-11, 6.186295919974327e-11, -1.2046807995602649e-11, -4.3010039973978564e-11, 2.698619105956368e-11, -6.162403920484394e-12, 2.1990631537960326e-11, -3.980171747741679e-11, -7.371747656748084e-11, 1.3382095431779817e-10, -2.854094738324875e-11, -8.574829735152889e-11, 5.3722359893981775e-11, -3.857802965967494e-12, 4.5769610323986853e-11, 3.5849101465146305e-12] QuasiNewtonMethods.optimum(state) .- 1 = [5.1626480868094404e-11, 2.773958840407431e-11, -6.679123920605434e-11, 2.3264279391810305e-11, -4.996780766930442e-12, -5.4153126427536336e-11, 4.231903716345187e-11, 3.319744479313158e-11, 9.831357949963149e-11, 5.223266263953974e-11, -1.3180079250219023e-10, 4.544697951303078e-11, -9.093392705494807e-12, -1.0999756661078663e-10, 8.436851217652475e-11, 6.368394700473345e-11, 1.2517653580346177e-10] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [-2.6878721470779965e-11, 1.7256196471748808e-11, 1.1185496973098452e-11, -7.829181747354141e-12, -2.0910717601907436e-11, 1.499267376914304e-11, 4.14934753223406e-12, 1.546851535749738e-11, 2.204680882300636e-11, -5.2855164689447065e-11, 3.197131448473556e-11, 1.9077406321343915e-11, -1.4579781826284943e-11, -4.3282821771128965e-11, 2.941380472520905e-11, 7.952749569994921e-12, 3.037325946309011e-11, 4.565703370928986e-11] QuasiNewtonMethods.optimum(state) .- 1 = [6.299027965894766e-11, 1.1453948900452815e-11, 2.1871837674325434e-11, -7.554312730917445e-11, 2.394151543683165e-11, 1.0220846391462146e-10, -7.126754741904051e-11, 8.886980040756498e-11, -7.054001827100365e-11, 1.2578382779793174e-10, 2.840816470950358e-11, 4.653522012176836e-11, -1.5774370698551365e-10, 4.338440717788217e-11, 2.004727495119596e-10, -1.382955971962474e-10, 1.796880422233471e-10, -1.523787762636175e-10] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [-1.817956896132955e-11, -3.3374969454769143e-11, -2.501043816494075e-11, -6.373568339768099e-12, 2.0237145292867353e-12, -1.4623635635757637e-11, 3.2658320492373605e-12, -4.697353617189037e-12, -3.3796521137219315e-11, -3.611511090184649e-11, -6.4550143008546e-11, -4.7458148522139254e-11, -1.5459966640207767e-11, 4.7128967395337895e-12, -3.026923156568273e-11, 6.1379790139426404e-12, -9.080403096106693e-12, -6.942613151039723e-11, -4.868327962981311e-13] QuasiNewtonMethods.optimum(state) .- 1 = [-4.947398046795115e-11, -1.2498002632810312e-11, -2.7133739699536363e-11, 1.532107773982716e-14, -5.4549809114234904e-11, -4.329103742151119e-11, -6.482714365318998e-11, -1.2001954985407792e-11, 3.5642599982566026e-12, -1.0677603246023182e-10, -2.0726087512912272e-11, -5.6704418938124945e-11, -1.0068612610325545e-12, -1.1397005561519791e-10, -8.605116619264663e-11, -1.3886625183090473e-10, -1.742039845709087e-11, 1.1681322575896047e-11, 3.849809360190193e-12] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [-8.590239630734686e-11, 4.8937076613242425e-11, 9.4011465279209e-12, -8.721490196705872e-11, 2.3634205703615407e-11, 4.57611726289997e-12, -2.001632193326941e-11, -4.26533253161665e-11, -1.2340684030220928e-11, -7.913791844060825e-11, -1.6880385977913193e-10, 9.723821747797956e-11, 2.2336577032433524e-11, -1.763322821091151e-10, 4.461542246758654e-11, 2.7917668177224186e-12, -3.690103778097864e-11, -8.55341353300787e-11, -2.330780013437561e-11, -1.5781931317349063e-10] QuasiNewtonMethods.optimum(state) .- 1 = [3.5145664156743806e-11, -1.3256173936326832e-11, -3.728373165756693e-11, 6.949330000338705e-12, 8.763656467181136e-12, -4.30990798605535e-11, 6.866285318096743e-11, 2.701172618913006e-11, 9.517941990111467e-12, 3.3480551664410996e-11, 7.151546022043931e-11, -2.674882537689882e-11, -7.535216894893892e-11, 1.911781843944027e-11, 1.7156720488742394e-11, -8.265765849557738e-11, 1.3320056169163763e-10, 5.2706949915659607e-11, 1.70317093761696e-11, 6.477351988110058e-11] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [-1.3452305935857112e-10, -2.1896029434032016e-10, -1.2427414652904645e-10, 6.817257869329296e-11, -1.5632706240609195e-10, -1.6868173524642316e-10, 3.6555203308807904e-11, 1.4289458505345465e-11, 4.0596415118443474e-12, -1.2622547451712762e-10, -2.735396353870101e-10, -4.306188738922856e-10, -2.384745734218541e-10, 1.39753986161395e-10, -3.1802827038518444e-10, -3.334942322297252e-10, 6.124256657358274e-11, 3.38460370841176e-11, 2.4356072714226684e-11, -2.5429347516592316e-10, -8.409373197793002e-11] QuasiNewtonMethods.optimum(state) .- 1 = [4.274380849267345e-11, 4.919642471179486e-11, -1.6872503394438354e-11, 3.129918546562749e-11, 4.976730139105712e-11, -3.961819761144625e-11, -8.47077963328502e-12, 4.3059555920876846e-11, 5.336997510596575e-11, 1.028714891049276e-10, 9.018563673635072e-11, 9.548961621419494e-11, -3.517186542012496e-11, 6.951639264229925e-11, 9.876188755697513e-11, -8.082756686178527e-11, -1.9061086042881925e-11, 8.656120265015943e-11, 1.0541389983131921e-10, 2.037736646087751e-10, -9.546585744146796e-12] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [-2.1423529616981796e-11, 3.552136362827696e-11, 8.663958439569797e-12, 2.4636737094851924e-11, -1.4677703497056882e-11, -1.476351263463016e-10, -4.366385031318032e-11, -4.3861358989261134e-11, 8.850498112167315e-11, -5.375133671492449e-11, 6.502354210624617e-12, -4.6508463746874895e-11, 7.086575770642867e-11, 1.9739987422440208e-11, 5.0133452944578494e-11, -2.932221132567747e-11, -2.9673363766136163e-10, -8.749323487933225e-11, -8.789591277036379e-11, 1.6513967970865906e-10, -1.0766776359361074e-10, 1.2071676991354252e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.7035617361216282e-10, -3.52795570535136e-12, 2.1340484934739834e-11, 1.1949641276487455e-10, 1.0819611873102986e-10, -7.358125220235934e-11, -1.1936551747027124e-10, -1.2380874103712358e-11, -4.067557402009925e-11, -3.7594594104461976e-11, 3.339550858072471e-11, 3.494000644366224e-10, -3.1489255647443315e-12, 4.8875348213073266e-11, 2.4012702937170616e-10, 1.9915069593423596e-10, -1.492931334112768e-10, -2.390254660866731e-10, -1.521738290932717e-11, -8.066936008077619e-11, -6.771583294096217e-11, 7.066658369581091e-11] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [-3.632782963336467e-11, -4.0148440128007223e-11, 6.340528102555254e-11, 1.4862777675261896e-11, 1.2062795207157251e-11, -3.6136427183919295e-11, 1.1926459819733282e-11, 2.958122635732252e-11, 2.6539437314454517e-11, 1.1233902696972109e-11, 2.9669600110082683e-11, -7.889644493275227e-11, -8.1758377845631e-11, 1.2384937519982486e-10, 2.81918932643066e-11, 2.641731278174575e-11, -7.04371005966209e-11, 2.19877449580963e-11, 5.771227939987966e-11, 5.0309534316284044e-11, 2.3844703989084337e-11, 5.615752307619459e-11, 1.290700879508222e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.699940188615301e-11, -3.0515590054847053e-12, -2.6450619472484505e-11, 3.108202584201081e-11, -1.8694712444755623e-11, -3.842592910530129e-12, -1.7104540006585012e-11, -1.0630607505390799e-11, 4.9888981834556034e-12, -5.6212812182820926e-12, -2.3070656496315678e-11, -3.443545448789109e-11, -5.250688772662215e-12, -5.361755484045716e-11, 6.192713009056661e-11, -3.893818600886334e-11, -7.707612326157687e-12, -3.390254743607102e-11, -1.9820034502515682e-11, 8.750111746280709e-12, -7.148281966351533e-12, -4.2101322428322874e-11, 4.9960036108132044e-14] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [-1.3551693101021556e-9, 1.8212409358397963e-10, 1.5729024749333576e-9, -5.689423376864511e-10, 1.8757084774279065e-9, -1.4844525608737058e-10, 3.194811082352089e-10, -4.1102654613212053e-10, 2.709254598443067e-9, -1.5566448130499566e-10, -1.6177551520613065e-9, 1.3043053304073737e-9, -2.7147079029177235e-9, 3.7893688187295993e-10, 3.1531335320522658e-9, -1.139863758936599e-9, 3.765877165662346e-9, -2.9355262665120563e-10, 6.364817561888003e-10, -8.286862307471665e-10, 5.454250162628682e-9, -3.102736956250851e-10, -3.2374924963107787e-9, 2.6015176679550223e-9] QuasiNewtonMethods.optimum(state) .- 1 = [9.236811315815885e-11, -7.46914752269845e-11, -3.035982576449214e-11, -5.727074370298624e-11, 9.025447056387748e-11, -3.319866603845867e-11, -4.305789058633991e-11, 4.581579560181126e-11, 5.094125121729576e-11, -1.9064638756560726e-11, 3.700151296470722e-11, 9.060441286123933e-11, 1.8028334380915112e-10, -1.4933010383799683e-10, -5.810363301606003e-11, -1.182069997440749e-10, 1.7894419279684826e-10, -6.530931351278468e-11, -8.582035082582706e-11, 8.857403699380484e-11, 1.0220579937936236e-10, -3.27190496918206e-11, 6.641531768991626e-11, 1.7503998250845143e-10] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 4m10.6s Method ambiguity | 1 1 9.6s 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 6.7s Compat bounds | 3 1 4 12.3s julia | 1 1 0.1s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") deps | 1 1 0.6s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") extras | 1 1 11.6s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") weakdeps | 1 1 0.0s Piracy | 1 1 2.6s Persistent tasks | 1 1 48.7s RNG of the outermost testset: Random.Xoshiro(0xd425d7f846667b2f, 0xbb66960ae13dc008, 0x5f2042fbfe8509da, 0x5d0e43c601156027, 0x6d5ec36eea4e8d9a) 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 271.98s 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:3138 [3] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3003 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:586 [5] kwcall(::@NamedTuple{julia_args::Cmd, io::IOContext{IO}}, ::typeof(Pkg.API.test), ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:562 [6] 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 [7] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:161 [8] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [9] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [inlined] [10] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkg::String) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [11] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 [12] include(mod::Module, _path::String) @ Base ./Base.jl:323 [13] exec_options(opts::Base.JLOptions) @ Base ./client.jl:344 [14] _start() @ Base ./client.jl:585 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 494.6s: package has test failures