Package evaluation to test QuasiNewtonMethods on Julia 1.14.0-DEV.2362 (adf6a0d284*) started at 2026-06-15T20:16:55.521 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 11.4s ################################################################################ # 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 v4.6.1 [4fba245c] + ArrayInterface v7.25.0 [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 v1.0.1 ⌅ [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 v1.5.2+0 [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 To see why use `status --outdated -m` Installation completed after 3.61s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 2.6 s ✓ StaticArrayInterface 1.0 s ✓ StaticArrayInterface → StaticArrayInterfaceOffsetArraysExt 1.2 s ✓ LayoutPointers 1.0 s ✓ CloseOpenIntervals 13.2 s ✓ VectorizationBase 1.7 s ✓ StrideArraysCore 2.8 s ✓ SLEEFPirates 3.4 s ✓ VectorizedRNG 31.5 s ✓ LoopVectorization 3.5 s ✓ VectorizedRNG → VectorizedRNGStaticArraysExt 34.4 s ✓ VectorizedStatistics 10.8 s ✓ QuasiNewtonMethods 11.8 s ✓ Octavian 12.8 s ✓ StrideArrays 14 dependencies successfully precompiled in 132 seconds. 56 already precompiled. Precompilation completed after 151.65s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_4VBzHi/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_4VBzHi/Manifest.toml` [79e6a3ab] Adapt v4.6.1 [4c88cf16] Aqua v0.8.16 [4fba245c] ArrayInterface v7.25.0 [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 v1.0.1 ⌅ [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 v1.5.2+0 [deac9b47] LibCURL_jll v8.20.0+1 [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 = [5.03375119365046e-13, 9.900968933607146e-13] QuasiNewtonMethods.optimum(state) .- 1 = [5.073008679801205e-11, 1.0258749405522849e-10] n = 3 QuasiNewtonMethods.optimum(state) .- 1 = [7.55189910606191e-10, 1.5046510704053162e-9, 8.962386388589039e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-8.119394045991157e-12, -1.4861556429934808e-11, -9.850564808289164e-12] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [2.924083197797245e-11, -2.3018031924948446e-11, 5.790856683063339e-11, -4.493283523032687e-11] QuasiNewtonMethods.optimum(state) .- 1 = [2.3885338151785618e-12, -1.577338260005945e-11, 5.4578563890572696e-12, -3.191369390975751e-11] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [6.458678036835863e-10, 5.08040054469916e-10, 1.3028993439689884e-9, 1.0110503545490701e-9, -3.0225377756210037e-10] QuasiNewtonMethods.optimum(state) .- 1 = [1.6067147612375265e-11, -1.638778002188701e-11, 3.144706717250756e-11, -3.354561073365403e-11, -7.685019287606565e-11] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [-3.126787717633306e-11, 2.3717472430462294e-11, -1.5950130105579774e-11, -6.378209072011032e-11, 4.424727251262084e-11, -3.440181473024495e-11] QuasiNewtonMethods.optimum(state) .- 1 = [5.232925204268213e-12, -4.161293531979027e-11, -5.748324038989949e-11, 1.0133227590358729e-11, -7.650624578303677e-11, -1.1070233618681868e-10] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [-1.971622864971323e-11, 6.647837835771497e-11, -4.480116277960633e-11, -4.694034050345408e-11, 1.4698997574669193e-10, -9.827583191679423e-11, 3.554934124849751e-13] QuasiNewtonMethods.optimum(state) .- 1 = [2.0708101899913345e-11, 1.9623636049459492e-11, 9.222178576351325e-12, 4.434519418339278e-11, 3.747291366096306e-11, 1.4769740985798308e-11, -5.440758954478042e-12] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [-4.901679062641051e-11, -8.671163786999614e-11, -8.093525849517391e-13, -8.406941809369073e-12, -1.0204115330481045e-10, -1.804859595111452e-10, 5.0810466944994914e-12, -1.6627588195206044e-11] QuasiNewtonMethods.optimum(state) .- 1 = [2.3656632208712836e-12, 3.2930991267221543e-11, 2.635869300604554e-11, -3.42132988606636e-11, 2.942535104466515e-12, 7.222134001949598e-11, 5.33872945851499e-11, -7.114098199423324e-11] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [-4.031552869321331e-12, -3.7969627442180354e-13, 3.277378368693462e-12, 5.900835375882707e-12, -7.319922445958582e-12, -7.297495940861154e-13, 7.076561558960748e-12, 1.1235901098416434e-11, 2.3965052164953704e-11] QuasiNewtonMethods.optimum(state) .- 1 = [4.0204950479960644e-11, 7.275802182959978e-11, -5.7779447892869484e-11, -5.812017533912694e-13, 7.329625795193806e-11, 1.5023893240595498e-10, -1.231493795827987e-10, -3.733569009511939e-12, 3.5782488083668795e-12] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [-1.8027801473863292e-11, 2.6900925931272468e-11, 2.7561508630924436e-11, -2.8561153442296927e-11, -6.477263170268088e-12, -3.433908712935363e-11, 5.190026186596697e-11, 5.482858611571828e-11, -5.871625408104819e-11, -1.4084733379604586e-11] QuasiNewtonMethods.optimum(state) .- 1 = [5.970335337224242e-12, -1.2468914789565133e-11, -4.843458967229708e-12, 8.86046791492845e-12, -6.0712546101626685e-12, 1.216071687792919e-11, -2.3321233832973576e-11, -1.0122125360112477e-11, 1.6846968264871975e-11, -1.2035039631541622e-11] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [-3.791733593772051e-11, 5.537748037909296e-11, 1.2332934673509044e-10, 1.9903190207060106e-11, -2.4326540781771655e-11, -7.32114369128567e-11, 1.0541212347447981e-10, 2.3450907882249794e-10, 3.718403362995559e-11, -4.186329061184324e-11, 6.572520305780927e-14] QuasiNewtonMethods.optimum(state) .- 1 = [-8.323386424535784e-11, 4.20274925971853e-11, 4.147548970934167e-11, 3.7632563731904156e-11, -1.2197132193136895e-11, -1.5842160916434977e-10, 8.627276670836181e-11, 8.24689205813911e-11, 7.322431549994235e-11, -3.8809955249519135e-11, -2.896460848944571e-12] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [-9.998102346031601e-11, 6.669909069501045e-11, -8.806244622405757e-11, -1.2712852992535773e-10, 2.8987212630227077e-10, 9.586553773033302e-12, -2.0085522134394296e-10, 1.3476642024556895e-10, -1.714577368971959e-10, -2.456448378040932e-10, 5.966516170019531e-10, 1.6297407867682523e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.5870493808023411e-10, -7.90284504503802e-11, -3.2630564916757976e-11, 1.7882850755768231e-10, -1.3932344167244537e-10, 1.1201084504364189e-10, -3.267187631550428e-10, -1.560259699218136e-10, -6.465028512536719e-11, 3.360209888114696e-10, -2.902303952723173e-10, 2.3887092304164526e-10] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [2.977329494058267e-11, 2.1962431873134847e-12, 1.432187701766452e-11, 8.663292305755022e-12, -5.0631276948820414e-11, -5.968670002687304e-12, 6.617684178422678e-11, 4.227063143957821e-12, 2.6517676943171864e-11, 1.6424639426304566e-11, -1.0415523998830167e-10, -1.1262324406402513e-11, -5.963007865261716e-13] QuasiNewtonMethods.optimum(state) .- 1 = [7.544032065709416e-11, -1.2633671886419506e-11, -3.0871971645751728e-12, -5.922984325223979e-11, -8.938971784999694e-11, 7.640910126838207e-11, 1.5025625188513914e-10, -2.4259483311084296e-11, -4.532152431124814e-12, -1.1886547301998007e-10, -1.801453430871902e-10, 1.5443823997429718e-10, -8.979372800865804e-12] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [2.0060175742742103e-11, 8.928413564035509e-11, -9.534562028790106e-11, 7.511391508785437e-11, -2.7081670239681443e-12, -1.3423395728295873e-10, 2.673372634376392e-11, 3.7347458459180416e-11, 1.9267476503159742e-10, -1.9576984477964743e-10, 1.4476975174204654e-10, -1.2942202864962837e-11, -2.786370023599716e-10, 5.4249271741468874e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.1968204205459188e-11, -7.133293955519093e-12, -1.829913998108168e-11, -7.59037277475727e-12, -2.9478641749847156e-12, 4.683586851683685e-12, 1.3892442751739509e-11, 2.5378588119906453e-11, -1.377509217803663e-11, -3.7005842834503255e-11, -1.510480629463018e-11, -8.254175121180651e-12, 9.25548526709008e-12, 2.917066588281614e-11] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [-6.282796505274746e-11, -2.652322805829499e-13, 5.661227042708106e-11, 2.2276180899893916e-11, -2.6244562079114075e-12, 4.979217038680872e-11, 1.017546047421547e-10, -1.2842771290877408e-10, -3.5814684551382925e-12, 1.1117506915070408e-10, 4.019495847273902e-11, 5.168310224235029e-12, 1.0624345847531913e-10, 2.2597723692285854e-10, 1.5131451647221184e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-4.9996229378734824e-11, -6.42068620493319e-11, -6.812750363849318e-11, -1.1217848872036029e-10, -5.608857822636537e-11, 5.236056033197656e-11, 8.794587280647193e-11, -9.984379989447234e-11, -1.3714385183050126e-10, -1.411262218198317e-10, -2.2406410060682447e-10, -1.1176126690770616e-10, 1.143305450312937e-10, 1.850333219977074e-10, -1.907363156306019e-12] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [-4.785505325344275e-11, -9.775491527364011e-11, -1.0153899943077249e-10, 7.394485024292408e-11, 5.7691629251621634e-11, 6.310729716574315e-11, 2.3958390826805953e-11, -2.7223445719926076e-11, -9.802858524921021e-11, -1.8895784936745486e-10, -1.8740142770923285e-10, 1.3702106116397772e-10, 1.287010498174368e-10, 1.1991607706818286e-10, 4.985523105460743e-11, -6.556155618397952e-11] QuasiNewtonMethods.optimum(state) .- 1 = [4.2988057558090986e-11, -1.182292042045674e-10, -1.4061818376376323e-10, -1.2785894565325862e-10, 3.8947289837665267e-11, -1.0202949596305189e-11, -1.2223588807813712e-10, 1.1181655601433249e-10, 7.813727442851359e-11, -2.2344770478355258e-10, -2.7879321073953633e-10, -2.6378144113436974e-10, 7.975864413367617e-11, -2.9629076969683865e-11, -2.315547753539704e-10, 2.107263252781877e-10] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [-2.6082136450611415e-11, -5.036715489126209e-11, -3.2278402173346876e-11, 2.8963498266421084e-11, -5.597156071956988e-11, -8.469369650043745e-11, -9.217082652668296e-11, 3.0433655595629716e-11, -5.408107295323816e-11, -9.679690382569106e-11, -5.863587393406533e-11, 5.575317985062611e-11, -1.1634837537854992e-10, -1.6668111335604863e-10, -1.8097279230744334e-10, 5.874922770487956e-11, -2.922551090023262e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-2.0782653376016924e-10, 3.819233818092016e-11, -1.5667689368115134e-10, 6.649703010452868e-11, 1.7735790613926383e-10, -1.4051970698147898e-10, 1.3765499851103868e-10, -1.519647740977348e-10, -4.093223537893209e-10, 6.766387450340972e-11, -3.1824387569656665e-10, 1.2310841235319003e-10, 3.6056846397514164e-10, -2.9260094347449694e-10, 2.734112936053634e-10, -2.977309510043824e-10, -2.5154323068932172e-11] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [-1.3351209027234745e-11, 1.2814971306340794e-10, -1.384303782714369e-11, -9.068024109382122e-11, -4.166511580194765e-11, 4.905653661069209e-11, -1.4522671953898225e-10, 1.4568057871144902e-10, 8.561462649936402e-11, -2.5125235225686993e-11, 2.6917112982971503e-10, -3.132916148729237e-11, -1.811920613548068e-10, -8.05754352128929e-11, 8.967848685870194e-11, -3.1021640811701445e-10, 2.7883495512526224e-10, 1.79806836086982e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-4.5272230408954783e-11, -1.3145373678469241e-11, 1.917264125239626e-10, -4.175770840220139e-11, 4.8194781498978045e-11, 4.0506931142658686e-11, -6.786660122770627e-11, 6.456790657694e-11, -1.7308809940885794e-10, -9.346701190793283e-11, -4.3356096490754226e-11, 3.9019765196712797e-10, -7.499212362205299e-11, 9.59408108514026e-11, 6.950551245665793e-11, -1.3120804442934286e-10, 1.1933765087235315e-10, -3.541124060646439e-10] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [-1.9653390026519446e-11, -1.9221291225335335e-11, 6.479927705527189e-11, 1.1774026198452248e-10, -9.642919795993521e-11, 5.964850835482594e-11, 5.4502180546478485e-11, 4.6346038118372235e-11, -2.7251201295541705e-11, -4.1444181420047244e-11, -3.998090747359129e-11, 1.29660060466108e-10, 2.3839441531947614e-10, -1.948052830158531e-10, 1.1589862403127427e-10, 1.0488032664568436e-10, 8.926792638419556e-11, -6.103151317660149e-11, 3.7274627828765006e-12] QuasiNewtonMethods.optimum(state) .- 1 = [1.9294565944960596e-11, 3.001487947074111e-11, 7.561951065326866e-12, 2.1458390619955026e-11, -6.077149894423428e-11, 6.097766735990717e-11, -6.957778797556102e-11, 5.538192127119146e-11, 6.092193416407099e-11, 3.4285019268054384e-11, 6.485922909860165e-11, 1.7029266885515426e-11, 5.506861633364224e-11, -1.253834813752519e-10, 1.217907996675649e-10, -1.3672263321495848e-10, 1.1588086046288026e-10, 1.2832424012287902e-10, 1.5267787034645153e-12] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [-1.2595458009911908e-10, 1.1053824522377909e-11, 4.182654222972815e-11, 2.4450885760529673e-11, -1.2101175617118543e-10, -3.977018714351743e-11, -8.908762616499644e-12, -1.6838552774345317e-10, -1.1465206561922514e-10, -5.7210569615051554e-11, -2.6549606957360083e-10, 2.3571811169631474e-11, 7.414047153986303e-11, 4.8267612129393456e-11, -2.4679436272379007e-10, -8.244815941083061e-11, -1.509514735431594e-11, -3.3703662083439667e-10, -2.1837809338620673e-10, -1.1432721436221982e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-3.9777403593177496e-11, -2.5909607792584666e-11, -6.17195183849617e-12, -1.4124368341583704e-11, 3.221800604080727e-11, 6.203926261605375e-13, -1.2411183192284625e-12, 2.9813929103283954e-12, 6.678657626935092e-12, 4.0024872305366443e-11, -8.036882270801016e-11, -5.3552828838121513e-11, -1.2333578602863327e-11, -2.443800717344402e-11, 6.377454120354287e-11, 1.3771206397450442e-12, -3.05000469325023e-12, 6.022959908591474e-12, 1.22308829730855e-11, 8.10744804624619e-11] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [1.3187828606930907e-10, 1.2113932079671486e-10, 1.5119017149345382e-10, -4.6931680763862005e-11, 3.463296316397191e-11, 1.9243495685827838e-11, -6.718803291505537e-11, -2.014145517037491e-10, 9.447820303876142e-11, 8.630407499765624e-11, 2.610835991845306e-10, 2.4336221926546386e-10, 3.125415481974869e-10, -1.072159028225883e-10, 6.317990575155363e-11, 4.0708547643930615e-11, -1.2135858984407832e-10, -3.888396271634065e-10, 1.8522516853636262e-10, 1.8131696144507714e-10, -2.9350966102015263e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-5.762790245000815e-11, -4.149958154897604e-11, -1.5788592655496814e-10, 2.6367241723335155e-10, 1.9586510191516027e-10, -7.833445003768702e-11, 9.3294705294511e-11, -1.1374301500666206e-10, 2.4628299399864773e-11, 4.71449546068925e-11, -1.180043840420808e-10, -8.822276242881344e-11, -3.220955724358987e-10, 5.349680698429893e-10, 4.161437860972228e-10, -1.5492118699000912e-10, 1.9663337624820088e-10, -2.151790967630518e-10, 4.9605208829461844e-11, 1.0276512973916851e-10, -2.016509181856918e-10] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [2.8177238320381548e-11, -1.4721557306529576e-12, 2.9531932455029164e-13, -9.60587165366178e-12, -1.1396661392382157e-11, -3.582911745070305e-11, 1.3169687562708532e-11, -1.3575807145116414e-12, -1.2039036434430272e-11, 2.150057909489078e-12, 1.2922996006636822e-12, 5.87043746946847e-11, -6.446843059393359e-12, -9.78772618509538e-13, -1.7159385024001494e-11, -2.3257729075965017e-11, -7.056255579840354e-11, 2.5385249458054204e-11, -4.02267108512433e-12, -2.5582425067227632e-11, 2.668087972779176e-12, 3.5011993304578937e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-6.5349947675485964e-12, -2.309819002732638e-12, -8.74622596569452e-12, -5.614153586463999e-11, -6.265743479616503e-11, 6.446465583564986e-11, 5.489475540798594e-11, -1.0835832231492759e-10, -1.1072476269191611e-11, 1.2859713294233188e-11, 1.325881626712544e-10, -2.0431878411386606e-11, -2.5863755581667647e-12, -1.8447687821776526e-11, -1.0322476207136333e-10, -1.1867085092376328e-10, 1.285458406385942e-10, 1.1463696658609024e-10, -2.2418222833664458e-10, -2.585287539602632e-11, 2.7291724435940523e-11, 2.6125679397637214e-10] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [-1.8890666808601964e-11, -1.7374846006390499e-10, -1.2397882720449616e-10, -1.2177769903587432e-10, -1.8958368208643606e-10, -1.1714407222029877e-11, 2.9744229301797986e-10, 5.557709847892056e-11, -2.3392343617700817e-10, 1.0533973693327425e-10, 1.265800797511929e-10, -3.783184876482437e-11, -3.4375347013337887e-10, -2.5738833286936824e-10, -2.3762547485262075e-10, -3.8694414339346395e-10, -1.1038170377730694e-11, 6.095917104431692e-10, 1.1032597058147076e-10, -4.794975527744327e-10, 2.0298962510878482e-10, 2.6248714313226174e-10, -4.875100323431525e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-1.8294588066680717e-11, -1.5286327759156393e-10, 1.1939271793437456e-10, -9.196310379877559e-12, 1.682074479703033e-10, -2.8624103087793173e-11, -1.401802007805486e-10, -7.395684065159003e-11, -4.324329783145231e-11, 1.3824164035725062e-10, -6.814881992056598e-12, -3.886535537844793e-11, -3.0534474948495927e-10, 2.3778690128040125e-10, -1.9680812535227687e-11, 3.3843705615765884e-10, -5.3557269730220014e-11, -2.954035904778607e-10, -1.4699474970569781e-10, -8.840694842859875e-11, 2.740765392417188e-10, -1.4836798456485667e-11, 4.125810804112007e-12] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [-8.679812424361444e-11, 4.9038550997693164e-12, 1.0403722328078402e-10, 5.5706106394382005e-11, -4.261369035418738e-12, 1.7722046052881524e-11, -2.4091839634365897e-13, -2.4323543179605167e-11, 1.0484502155350128e-11, 8.90243434525928e-11, -1.1232259566895664e-10, -1.4414247573313332e-10, -1.734687948840019e-10, 1.0540457395791236e-11, 2.0877299888866219e-10, 1.1190026683038923e-10, -8.384071215061795e-12, 3.5469627235329426e-11, -1.3552492461599286e-12, -4.933586872368778e-11, 2.0571322423279526e-11, 1.800559701337079e-10, -2.2513668707091483e-10, -2.8682589636730427e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-1.031419394337263e-11, -2.5453195107161264e-11, 3.2809310823722626e-12, -7.330691609297446e-12, 4.3417047734806147e-11, 3.283240346263483e-11, 3.5436098499985746e-11, 3.12105896682624e-12, 3.503553003270099e-11, 2.0569990155649975e-11, -3.753952704244057e-11, 6.228795257356978e-12, -3.5547231824750725e-11, -4.708722300961199e-11, 1.1594725179975285e-11, -4.509281836817536e-12, 8.996514644366016e-11, 6.330069801663285e-11, 6.91131596397554e-11, 4.5348169663839144e-12, 6.997469270686452e-11, 3.8570702187712413e-11, -7.177469729668928e-11, 1.322253417868069e-11] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 3m29.7s Method ambiguity | 1 1 8.0s 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 5.0s Compat bounds | 3 1 4 8.6s 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 8.1s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") weakdeps | 1 1 0.0s Piracy | 1 1 0.2s Persistent tasks | 1 1 44.6s RNG of the outermost testset: Random.Xoshiro(0xd40414afbed37a0f, 0x09db0cba2fad40f1, 0x4357056620ff847e, 0x55ad5f53b4a678ff, 0x9a05f126e3662251) 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 227.65s 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 409.36s: package has test failures