Package evaluation to test QuasiNewtonMethods on Julia 1.14.0-DEV.3128 (f573e2bf71*) started at 2026-09-06T19:40:07.173 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 16.08s ################################################################################ # 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 To see why use `status --outdated -m` Installation completed after 4.2s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 4.2 s ✓ StaticArrayInterface 1.7 s ✓ StaticArrayInterface → StaticArrayInterfaceOffsetArraysExt 1.1 s ✓ LayoutPointers 1.0 s ✓ CloseOpenIntervals 17.6 s ✓ VectorizationBase 2.5 s ✓ StrideArraysCore 3.0 s ✓ SLEEFPirates 3.7 s ✓ VectorizedRNG 37.6 s ✓ LoopVectorization 4.2 s ✓ VectorizedRNG → VectorizedRNGStaticArraysExt 41.3 s ✓ VectorizedStatistics 11.8 s ✓ QuasiNewtonMethods 10.7 s ✓ Octavian 13.3 s ✓ StrideArrays 14 dependencies successfully precompiled in 154 seconds. 56 already precompiled. Precompilation completed after 167.6s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_eCmiv4/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_eCmiv4/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 v8.21.0+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: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:2247 [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 = [5.049960449809987e-12, 9.946488077616777e-12] QuasiNewtonMethods.optimum(state) .- 1 = [2.1261659099991448e-11, 5.451350482132966e-11] n = 3 QuasiNewtonMethods.optimum(state) .- 1 = [7.378790911616306e-10, 1.4842140849680163e-9, 1.1829548451913752e-9] QuasiNewtonMethods.optimum(state) .- 1 = [-3.479994070687553e-12, -7.243983191074221e-12, -3.4416913763379853e-15] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [1.1216361173183031e-11, -2.1806001448965162e-11, 1.9559021069426308e-11, -3.7527980722984466e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-3.2153391060774084e-11, -7.189471240565126e-12, -6.765965565591614e-11, -1.582411979228482e-11] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [-4.8472781344344185e-11, 1.3789325237212324e-10, -9.783740484436976e-11, 2.9035462922877286e-10, -2.4940682852303553e-10] QuasiNewtonMethods.optimum(state) .- 1 = [2.0403678746561127e-12, -7.540634783254063e-12, 4.874101122709362e-12, -1.0916823001139164e-11, -7.971734383716012e-12] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [-1.8919388278249016e-10, -5.4962923101697925e-11, -3.636924095218319e-11, -3.878363186160527e-10, -1.0038514464127957e-10, -6.358336079870242e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.4728662733887177e-11, -9.256706512417168e-12, 5.688560733574377e-12, 2.94151369928386e-11, -1.9218737712378697e-11, 1.3800516285300546e-11] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [-4.284206323035278e-11, -1.30123578578889e-10, -1.0002265682373945e-10, -6.305866939726457e-11, -2.590517800271641e-10, -2.2505153296492608e-10, 5.1378901133602994e-12] QuasiNewtonMethods.optimum(state) .- 1 = [7.756240094636269e-12, -1.1311729330998332e-11, 6.321165813005791e-12, 1.592304066377892e-11, -2.327338322061223e-11, 1.3728573833304836e-11, 7.853717676198357e-13] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [2.0871304684533243e-11, -1.236709623597676e-10, -3.248523672283454e-11, 1.206013067189815e-11, 3.4786395985975105e-11, -2.584354952261947e-10, -6.036959820931997e-11, 1.9274581930517343e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-7.18276549349639e-11, -9.05597818956494e-12, -4.0614178686837477e-11, 1.1881096106947098e-10, -1.501464508280037e-10, -2.056177450526775e-11, -7.806333357507356e-11, 2.433748758079446e-10] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [5.193800944880422e-11, 1.3758993944179565e-10, -8.11334333050695e-11, -3.9840908350186055e-11, 8.690892450147203e-11, 2.7153346238151244e-10, -1.6984014195031705e-10, -8.524336791992937e-11, -4.437894496334138e-12] QuasiNewtonMethods.optimum(state) .- 1 = [1.0241585357562144e-11, -7.136580215671984e-11, -1.518862813298938e-11, 2.226441253583289e-12, 1.6787682355356992e-11, -1.3610479410175458e-10, -3.744238252778587e-11, 3.411937399278031e-12, -5.589750884382738e-12] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [-2.6839530598010697e-11, 2.147013677955556e-10, -2.916533681229794e-11, 2.540572197062829e-10, -7.300404725185672e-11, -6.102884864134239e-11, 4.415892096432117e-10, -5.015099446836757e-11, 5.174154438236656e-10, -1.431624818692967e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-2.201416826608238e-11, 4.888756066634414e-12, -1.3401946219460115e-11, -4.991251856267809e-11, -2.303901514011386e-11, -4.3309689168324894e-11, 2.0079271578765656e-11, -2.6874280578681464e-11, -1.0741652012313807e-10, -5.401512570557543e-11] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [-9.5985552839295e-11, 3.3424374379364963e-12, -1.74930181451316e-10, -1.7588286382874685e-10, 2.7225111054463014e-11, -2.015072553263053e-10, 1.6207479802687885e-11, -3.420358440919813e-10, -3.409367232976024e-10, 4.6741943648953566e-11, -2.46400677639258e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.1627365736899264e-12, -2.761768591597047e-11, 4.0950798307903824e-11, -6.176559264048365e-11, 6.2019278601610495e-12, 6.317169010117141e-13, -5.595446328499065e-11, 8.575362642204709e-11, -1.221953649377383e-10, 1.2076117883452753e-11, -4.929390229335695e-14] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [-8.674061469093886e-11, 5.2050586063501214e-11, 4.263522868086511e-11, 8.842571119771492e-11, 1.0429768160236108e-10, -4.327460612074674e-11, -1.7222301362807002e-10, 1.1773670927084368e-10, 9.507461484759006e-11, 1.834685736668007e-10, 2.04976480233654e-10, -9.847622717273907e-11] QuasiNewtonMethods.optimum(state) .- 1 = [7.047717964780986e-11, -7.009615110575851e-12, 4.163958067238127e-11, -2.609035210099364e-11, 7.116085498637403e-12, -1.4446444041027462e-11, 1.423210438389333e-10, -1.3735346193755049e-11, 8.254885663916411e-11, -5.132982927591456e-11, 1.5135448450109834e-11, -2.1430635044339397e-11] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [-1.3746259686087114e-10, -2.4492041728052527e-10, 1.0095457803060981e-10, 1.2195644494283897e-10, 3.8800296309204896e-11, 7.468359264350966e-11, -2.6395230445785955e-10, -4.839758593888632e-10, 1.880333666548495e-10, 2.6172330969131963e-10, 8.125788930612998e-11, 1.4670731296462236e-10, 5.954103876604222e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-7.37747640755515e-11, -8.95565843705981e-11, -1.6962709015189148e-10, 3.985967111930222e-11, -4.01677580086357e-11, 1.751345735101495e-10, -1.2465617427181996e-10, -1.684328232443022e-10, -3.4224567624363544e-10, 8.360934167228606e-11, -9.244582876988261e-11, 3.465336906316452e-10, 2.922406761030061e-10] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [-2.364441975544196e-11, -2.842048818507692e-11, 3.1488367469023615e-11, 1.768474255925412e-11, -1.0429990204841033e-11, -5.203726338720571e-12, -8.556377828483619e-12, -4.5663695047437614e-11, -5.033540251275781e-11, 6.531997165382109e-11, 3.338063159219473e-11, -1.761468748640027e-11, -7.568501381172155e-12, -1.9083956637189203e-11] QuasiNewtonMethods.optimum(state) .- 1 = [7.621814290814655e-11, 2.414890509783163e-11, -2.2202906180268656e-11, 1.1156187085248348e-11, -1.0984990694851149e-11, 6.735567659177377e-11, 1.4301893003221267e-12, 1.5621548499211713e-10, 4.8482551306960886e-11, -4.4420134237554976e-11, 2.4434232415160295e-11, -1.9636514636545144e-11, 1.3777068375020463e-10, 3.83248988100604e-12] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [-5.416822546067124e-11, 3.9918068850397503e-11, -2.127960030406939e-10, -9.61004609223437e-11, 5.281930448575167e-11, 8.730105527376963e-11, 9.692735503108452e-11, -1.1246770181827515e-10, 8.350276026192205e-11, -4.3907766311690466e-10, -1.9609347479132566e-10, 1.1629608387409007e-10, 1.7265211482708764e-10, 1.9594836864200715e-10, 6.088463067044358e-13] QuasiNewtonMethods.optimum(state) .- 1 = [-4.217715066090477e-11, 3.599498477058205e-11, -5.8070770414531125e-11, -3.937628001438043e-12, 5.4161564122523487e-11, -1.980449138017093e-11, 5.5176974100845655e-11, -8.290479414085894e-11, 6.851474942948244e-11, -1.0858847154793239e-10, -8.589573496919911e-12, 1.1054512860653176e-10, -3.7936098706836674e-11, 1.116799985823036e-10, -6.145084441300241e-13] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [5.913380896060971e-11, 1.0942979855599333e-10, 1.9646284599161845e-11, -1.5328471825171164e-10, -3.8003600266733883e-11, 1.1170198099819117e-10, 1.9169110743177953e-12, -9.844347559351263e-12, 1.3030887480169895e-10, 2.1453261389581257e-10, 3.9103831284137414e-11, -2.9172397830734553e-10, -7.946932001345886e-11, 2.2672885791052977e-10, 1.2136291971387436e-11, -2.034994395216927e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-3.7275404984882243e-11, -1.4617418386819736e-11, -5.07983655140265e-11, -2.7779445410658354e-11, 1.1541034794504412e-10, 3.2624569712425e-11, 2.0698331937296643e-11, 3.1571856240475427e-11, -7.857581252324053e-11, -2.6505464489900987e-11, -1.0266953953674829e-10, -5.407996273021354e-11, 2.3261970127919085e-10, 6.52446985327515e-11, 5.048250706352064e-11, 6.395195484287797e-11] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [-2.2862556292579939e-10, -1.2637579871466187e-10, -2.69246736017692e-10, -1.0340117650997627e-10, 7.708900184866252e-11, 2.2891022410931328e-11, 1.401461169336926e-10, 1.6757906173836545e-10, -4.574269851786994e-10, -2.7704949445706006e-10, -5.473556052848494e-10, -1.854109088483824e-10, 1.759747902951858e-10, 4.14694945050087e-11, 2.949100963434148e-10, 3.3987523906375827e-10, -2.390754261227812e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-6.625899828804904e-11, -1.0015854812195357e-10, -6.462386181738111e-11, 2.2683188660721498e-11, 5.563083327331242e-11, -9.864331573794516e-13, 5.633182809106074e-11, -6.090061788199819e-11, -1.317360664998546e-10, -2.016974365304236e-10, -1.3274459309542408e-10, 4.543543319357468e-11, 1.0979839260016888e-10, 6.965539256498232e-13, 1.028812590675443e-10, -1.2434808738248648e-10, 1.2656542480726785e-14] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [7.05857594596182e-12, -2.3092083800690943e-11, 4.021893929007092e-12, 6.586153844523324e-11, 2.0935697619961502e-11, 2.7640778554882672e-11, -3.634803569241285e-11, 9.002798506685394e-12, -2.3707702467845593e-12, 1.467315158265592e-11, -4.622058291658959e-11, 6.922906692352626e-12, 1.3140688537305323e-10, 4.020117572167692e-11, 5.428923977035538e-11, -7.301870219578177e-11, 1.8202328533334367e-11, -5.407785330646675e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-3.712352647511352e-11, -7.403522239712856e-12, -1.853961428821549e-12, -4.0470626849753444e-11, -2.2662871579370858e-11, 1.523758896837535e-11, -4.5597969844379804e-11, -3.320499430969903e-11, -3.922551172763633e-11, -7.725942108294248e-11, -1.697741947026543e-11, -5.8328897267756474e-12, -8.215506053232957e-11, -4.3097081459109177e-11, 2.927169617805703e-11, -8.885914226652858e-11, -7.09201586346353e-11, -7.95606913683855e-11] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [-9.374512277560143e-11, 2.3118174041769635e-11, 9.73867653186744e-11, 9.854295157651904e-11, -6.82017775588406e-11, 9.463740902049267e-11, 9.362888242492318e-11, -9.098233277882173e-11, 1.0125233984581428e-13, -1.884929989870443e-10, 4.1209924361851336e-11, 1.85049309209262e-10, 1.8109891364304076e-10, -1.5031131894716054e-10, 1.8567458681673088e-10, 1.8131940393573132e-10, -1.9705304055150918e-10, -3.1471492079049312e-12, 1.9077850410553765e-11] QuasiNewtonMethods.optimum(state) .- 1 = [4.955391652572416e-11, 2.8569813181889003e-11, 9.770628750516153e-11, 1.0098588631990424e-12, -1.1578615843887974e-10, 2.743805183058612e-11, -1.3377832175365256e-10, -6.0137006485661e-11, 6.204348146354732e-11, 9.810974255231031e-11, 5.959610582806363e-11, 2.0401147438064982e-10, 1.977973340672179e-12, -2.383735431266132e-10, 5.7809979026046676e-11, -2.770923490658106e-10, -1.2332190824082545e-10, 1.224338408434278e-10, -1.4623191546547787e-11] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [2.6826318944017657e-11, 6.667244534241945e-11, -7.087608278055768e-11, -4.347544546590143e-11, -6.179279310458696e-11, -6.192035773011639e-11, 1.1086243034696963e-11, 2.4868107573183806e-11, -2.551436839581811e-11, 7.437961357936729e-11, 5.522671209234886e-11, 1.4057044417370435e-10, -1.4084977628670003e-10, -8.777722992903136e-11, -1.1972012270433652e-10, -1.25455756894155e-10, 2.8565150245185578e-11, 5.6671778381200966e-11, -5.168243610853551e-11, 1.4963452699134905e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-3.276678928187948e-11, 2.511235663860134e-11, -3.0346281043591716e-11, -1.1143974631977471e-11, 8.251621608224013e-12, 5.8610893916011264e-12, -5.852551776541759e-11, 1.0886846979474285e-12, 4.133138276074533e-11, 2.336197901797732e-11, -6.001599217597686e-11, 4.807443332310868e-11, -5.8132054725490434e-11, -1.7820522835165775e-11, 1.2689183037650764e-11, 1.1386447340555605e-11, -1.1731082771859747e-10, 2.8690383402363295e-12, 8.445688592928491e-11, 4.670197562006706e-11] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [3.367062184622682e-11, 8.931810846490862e-11, 6.750067171878982e-11, -2.3651858249706947e-11, -4.028699596148044e-11, -3.769839995726443e-11, -2.1350810008868848e-11, 3.539391002504999e-11, -2.934674725452169e-11, -3.409361681860901e-11, 6.7408301163141e-11, 1.737534560675158e-10, 1.2522938241943393e-10, -4.38105107747333e-11, -8.586598099213916e-11, -8.462863743119442e-11, -2.551125977134916e-11, 7.325962059212543e-11, -6.005607122716583e-11, -6.647549177785095e-11, -1.6564860594314723e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.2477141542177606e-10, 2.132332088677913e-10, -9.404865775053395e-11, 1.2873679899882973e-10, 2.6495761140665763e-10, -1.0510192716139954e-10, -4.744593606886838e-11, -2.3162871620741043e-10, -4.0734193795799456e-11, 4.0042635873760446e-11, -2.5012858451134434e-10, 4.2600234451128927e-10, -1.8718659955396788e-10, 2.3968627083092997e-10, 5.241367340147463e-10, -1.9857304689452349e-10, -9.02941055258566e-11, -4.827539479279608e-10, -8.964118336507454e-11, 6.167466537476685e-11, 7.777556376709072e-12] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [-2.693664180597466e-10, -1.9758916725010067e-10, 6.359179849368957e-11, 2.9057001249555015e-10, 8.735101530987777e-11, -1.4317341756608926e-9, 9.126013278404344e-10, -5.642342149059232e-11, -4.51951809310458e-11, -1.429877327652207e-10, 3.3132829813098397e-10, -5.38429856256073e-10, -3.813399596097611e-10, 1.3459700021201115e-10, 5.952816017895657e-10, 1.5767942507238786e-10, -2.8544786534467903e-9, 1.8438781612672983e-9, -9.187550720213267e-11, -8.96261953542421e-11, -3.0963920316651183e-10, 6.41648068011591e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-2.6821767029616694e-11, 2.4087398742267396e-11, -2.259625819789335e-11, -1.1726397630695828e-11, 2.955702349538569e-11, 3.037659013216398e-11, 7.850609051729407e-12, 2.219469052988643e-11, -4.334088643531686e-12, 6.2236882314437025e-12, 2.220934547381148e-11, -5.649503087568064e-11, 5.0206283574993904e-11, -4.6827541844152165e-11, -2.287348088714225e-11, 5.4851678754630484e-11, 5.968869842831737e-11, 1.715294573045867e-11, 4.168110301350225e-11, -6.578182443206515e-12, 1.1164402735630574e-11, 4.387135099648276e-11] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [1.2513989844364914e-11, 1.1288303625178742e-11, -2.4509283491624956e-12, 1.610800381968147e-11, -2.078115457493368e-11, -3.063493902999426e-11, -1.0100698055737212e-11, -1.5020207300153743e-11, 3.488009880925347e-11, -6.4687144529784746e-12, 5.057954055587288e-11, 2.4952928612265168e-11, 2.095412732217028e-11, -4.970801548154213e-12, 2.8379743000073177e-11, -4.138145381915592e-11, -6.15554274219221e-11, -2.0361712316230296e-11, -3.051725538938399e-11, 7.041212057856683e-11, -1.259237158990345e-11, 1.0292877661299826e-10, 1.4017675908917226e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-1.1392431442658335e-10, -9.042666615499684e-11, -4.6103787454399026e-11, -8.175626842188422e-11, 1.1914269570922897e-10, -2.5069613052153272e-11, -1.5336043546199107e-10, -1.7398538165736e-10, 4.4581671687637936e-11, -7.987543959586674e-11, -4.0866532380334775e-11, -2.377056329549987e-10, -1.7973145194360995e-10, -8.067180257143036e-11, -1.5663548236233282e-10, 2.407536392468046e-10, -5.7889804061517225e-11, -3.0526092764660007e-10, -3.5362446304532114e-10, 8.412515128952691e-11, -1.5977730249971955e-10, -8.846823273955806e-11, -6.009304165388585e-12] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [1.2172041152780366e-11, -7.53936912900599e-11, 8.895373326822664e-11, 2.3067547871846728e-11, 1.9095169889737917e-11, -1.4648837698416628e-11, -2.6045388068496322e-11, -2.968802981229146e-11, 7.1593841965977845e-12, 2.170752466668091e-11, 2.1578072662009617e-11, -1.6042056572018737e-11, 2.506594931617201e-11, -1.3354961581057978e-10, 1.7611445635168366e-10, 3.785305402459471e-11, 4.4104053742444194e-11, -4.450539936584619e-11, -5.458045126971456e-11, -5.836475747145187e-11, 1.2486234268749286e-11, 4.4174663926810354e-11, 4.136424536227423e-11, -2.756295192085645e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-3.6654124180302006e-11, -1.5936985064968212e-10, 8.527800687829767e-11, 1.195163967793178e-10, 8.841816168114747e-13, 2.154942890797429e-12, 1.204620847516935e-10, -4.053490876287924e-11, -3.043520990786419e-11, 1.9462920164414754e-10, 4.290612309887365e-11, -3.3263836130004165e-11, -7.937650536860019e-11, -3.204801979350691e-10, 1.7263457330329857e-10, 2.3841062457563567e-10, -6.907585614612799e-12, -2.2403190413911034e-12, 2.397670950671227e-10, -7.847822391937598e-11, -4.8930526297397137e-11, 4.0207992491048117e-10, 8.500244952358571e-11, -5.88817883340198e-11] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 4m16.4s Method ambiguity | 1 1 9.0s 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 20.2s julia | 1 1 0.2s 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 19.5s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") weakdeps | 1 1 0.0s Piracy | 1 1 0.3s Persistent tasks | 1 1 58.8s RNG of the outermost testset: Random.Xoshiro(0x8ea239a72d67ee7e, 0x4794510f5cc858d8, 0xf9981b8ccd546951, 0x3d9c312dc80a88cd, 0xf49d0ed5beb0c536) 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 276.62s 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 505.59s: package has test failures